diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index f08befefb8..76e5c04deb 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -83,9 +83,15 @@ jobs: compose-file: | docker/docker-compose.middleware.yaml services: | + db + redis sandbox ssrf_proxy + - name: setup test config + run: | + cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env + - name: Run Workflow run: uv run --project api bash dev/pytest/pytest_workflow.sh diff --git a/.github/workflows/deploy-rag-dev.yml b/.github/workflows/deploy-rag-dev.yml new file mode 100644 index 0000000000..86265aad6d --- /dev/null +++ b/.github/workflows/deploy-rag-dev.yml @@ -0,0 +1,28 @@ +name: Deploy RAG Dev + +permissions: + contents: read + +on: + workflow_run: + workflows: ["Build and Push API & Web"] + branches: + - "deploy/rag-dev" + types: + - completed + +jobs: + deploy: + runs-on: ubuntu-latest + if: | + github.event.workflow_run.conclusion == 'success' && + github.event.workflow_run.head_branch == 'deploy/rag-dev' + steps: + - name: Deploy to server + uses: appleboy/ssh-action@v0.1.8 + with: + host: ${{ secrets.RAG_SSH_HOST }} + username: ${{ secrets.SSH_USER }} + key: ${{ secrets.SSH_PRIVATE_KEY }} + script: | + ${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }} diff --git a/.github/workflows/vdb-tests.yml b/.github/workflows/vdb-tests.yml index 512d14b2ee..912267094b 100644 --- a/.github/workflows/vdb-tests.yml +++ b/.github/workflows/vdb-tests.yml @@ -84,10 +84,14 @@ jobs: elasticsearch oceanbase - - name: Check VDB Ready (TiDB, Oceanbase) + - name: setup test config run: | - uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py - uv run --project api python api/tests/integration_tests/vdb/oceanbase/check_oceanbase_ready.py + echo $(pwd) + ls -lah . + cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env + + - name: Check VDB Ready (TiDB) + run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py - name: Test Vector Stores run: uv run --project api bash dev/pytest/pytest_vdb.sh diff --git a/.gitignore b/.gitignore index 74a9ef63ef..8f82bea00d 100644 --- a/.gitignore +++ b/.gitignore @@ -179,6 +179,7 @@ docker/volumes/pgvecto_rs/data/* docker/volumes/couchbase/* docker/volumes/oceanbase/* docker/volumes/plugin_daemon/* +docker/volumes/matrixone/* !docker/volumes/oceanbase/init.d docker/nginx/conf.d/default.conf @@ -210,3 +211,6 @@ mise.toml # Next.js build output .next/ + +# AI Assistant +.roo/ diff --git a/README.md b/README.md new file mode 100644 index 0000000000..1dc7e2dd98 --- /dev/null +++ b/README.md @@ -0,0 +1,268 @@ +![cover-v5-optimized](./images/GitHub_README_if.png) + +

+ 📌 Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast +

+ +

+ Dify Cloud · + Self-hosting · + Documentation · + Dify edition overview +

+ +

+ + Static Badge + + Static Badge + + chat on Discord + + join Reddit + + follow on X(Twitter) + + follow on LinkedIn + + Docker Pulls + + Commits last month + + Issues closed + + Discussion posts +

+ +

+ README in English + 繁體中文文件 + 简体中文版自述文件 + 日本語のREADME + README en Español + README en Français + README tlhIngan Hol + README in Korean + README بالعربية + Türkçe README + README Tiếng Việt + README in Deutsch + README in বাংলা +

+ +Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more, allowing you to quickly move from prototype to production. + +## Quick start + +> Before installing Dify, make sure your machine meets the following minimum system requirements: +> +> - CPU >= 2 Core +> - RAM >= 4 GiB + +
+ +The easiest way to start the Dify server is through [docker compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine: + +```bash +cd dify +cd docker +cp .env.example .env +docker compose up -d +``` + +After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process. + +#### Seeking help + +Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues. + +> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) + +## Key features + +**1. Workflow**: +Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. + +**2. Comprehensive model support**: +Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers). + +![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3) + +**3. Prompt IDE**: +Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. + +**4. RAG Pipeline**: +Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats. + +**5. Agent capabilities**: +You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha. + +**6. LLMOps**: +Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations. + +**7. Backend-as-a-Service**: +All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic. + +## Feature Comparison + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
FeatureDify.AILangChainFlowiseOpenAI Assistants API
Programming ApproachAPI + App-orientedPython CodeApp-orientedAPI-oriented
Supported LLMsRich VarietyRich VarietyRich VarietyOpenAI-only
RAG Engine✅✅✅✅
Agent✅✅❌✅
Workflow✅❌✅❌
Observability✅✅❌❌
Enterprise Feature (SSO/Access control)✅❌❌❌
Local Deployment✅✅✅❌
+ +## Using Dify + +- **Cloud
** + We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan. + +- **Self-hosting Dify Community Edition
** + Quickly get Dify running in your environment with this [starter guide](#quick-start). + Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions. + +- **Dify for enterprise / organizations
** + We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs.
+ > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one click. It's an affordable AMI offering with the option to create apps with custom logo and branding. + +## Staying ahead + +Star Dify on GitHub and be instantly notified of new releases. + +![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4) + +## Advanced Setup + +If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments). + +If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes. + +- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify) +- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm) +- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts) +- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes) +- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s) + +#### Using Terraform for Deployment + +Deploy Dify to Cloud Platform with a single click using [terraform](https://www.terraform.io/) + +##### Azure Global + +- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform) + +##### Google Cloud + +- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform) + +#### Using AWS CDK for Deployment + +Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/) + +##### AWS + +- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) + +#### Using Alibaba Cloud Computing Nest + +Quickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Using Alibaba Cloud Data Management + +One-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + +## Contributing + +For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). +At the same time, please consider supporting Dify by sharing it on social media and at events and conferences. + +> We are looking for contributors to help translate Dify into languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c). + +## Community & contact + +- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions. +- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). +- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community. +- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community. + +**Contributors** + + + + + +## Star history + +[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date) + +## Security disclosure + +To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer. + +## License + +This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions. diff --git a/README_AR.md b/README_AR.md index df288fd33c..d93bca8646 100644 --- a/README_AR.md +++ b/README_AR.md @@ -209,6 +209,14 @@ docker compose up -d - [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### استخدام Alibaba Cloud للنشر + [بسرعة نشر Dify إلى سحابة علي بابا مع عش الحوسبة السحابية علي بابا](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### استخدام Alibaba Cloud Data Management للنشر + +انشر ​​Dify على علي بابا كلاود بنقرة واحدة باستخدام [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## المساهمة لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا. diff --git a/README_BN.md b/README_BN.md index 4a5b5f3928..3efee3684d 100644 --- a/README_BN.md +++ b/README_BN.md @@ -225,6 +225,15 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud ব্যবহার করে ডিপ্লয় + + [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management ব্যবহার করে ডিপ্লয় + + [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Contributing যারা কোড অবদান রাখতে চান, তাদের জন্য আমাদের [অবদান নির্দেশিকা] দেখুন (https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)। diff --git a/README_CN.md b/README_CN.md index ba7ee0006d..21e27429ec 100644 --- a/README_CN.md +++ b/README_CN.md @@ -221,6 +221,15 @@ docker compose up -d ##### AWS - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### 使用 阿里云计算巢 部署 + +使用 [阿里云计算巢](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) 将 Dify 一键部署到 阿里云 + +#### 使用 阿里云数据管理DMS 部署 + +使用 [阿里云数据管理DMS](https://help.aliyun.com/zh/dms/dify-in-invitational-preview) 将 Dify 一键部署到 阿里云 + + ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date) diff --git a/README_DE.md b/README_DE.md index f6023a3935..20c313035e 100644 --- a/README_DE.md +++ b/README_DE.md @@ -221,6 +221,15 @@ Bereitstellung von Dify auf AWS mit [CDK](https://aws.amazon.com/cdk/) ##### AWS - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +Ein-Klick-Bereitstellung von Dify in der Alibaba Cloud mit [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Contributing Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). Gleichzeitig bitten wir Sie, Dify zu unterstützen, indem Sie es in den sozialen Medien teilen und auf Veranstaltungen und Konferenzen präsentieren. diff --git a/README_ES.md b/README_ES.md index 12f2ce8c11..e4b7df6686 100644 --- a/README_ES.md +++ b/README_ES.md @@ -221,6 +221,15 @@ Despliegue Dify en AWS usando [CDK](https://aws.amazon.com/cdk/) ##### AWS - [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +Despliega Dify en Alibaba Cloud con un solo clic con [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Contribuir Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). diff --git a/README_FR.md b/README_FR.md index b106615b31..8fd17fb7c3 100644 --- a/README_FR.md +++ b/README_FR.md @@ -219,6 +219,15 @@ Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/) ##### AWS - [AWS CDK par @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +Déployez Dify en un clic sur Alibaba Cloud avec [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Contribuer Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). diff --git a/README_JA.md b/README_JA.md index 26703f3958..a3ee81e1f2 100644 --- a/README_JA.md +++ b/README_JA.md @@ -155,7 +155,7 @@ DifyはオープンソースのLLMアプリケーション開発プラットフ [こちら](https://dify.ai)のDify Cloudサービスを利用して、セットアップ不要で試すことができます。サンドボックスプランには、200回のGPT-4呼び出しが無料で含まれています。 - **Dify Community Editionのセルフホスティング
** -この[スタートガイド](#quick-start)を使用して、ローカル環境でDifyを簡単に実行できます。 +この[スタートガイド](#クイックスタート)を使用して、ローカル環境でDifyを簡単に実行できます。 詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。 - **企業/組織向けのDify
** @@ -220,6 +220,13 @@ docker compose up -d ##### AWS - [@KevinZhaoによるAWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management +[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) を利用して、DifyをAlibaba Cloudへワンクリックでデプロイできます + + ## 貢献 コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。 diff --git a/README_KL.md b/README_KL.md index ea91baa5aa..3e5ab1a74f 100644 --- a/README_KL.md +++ b/README_KL.md @@ -219,6 +219,15 @@ wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo ##### AWS - [AWS CDK qachlot @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Contributing For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). diff --git a/README_KR.md b/README_KR.md index 89301e8b2c..3c504900e1 100644 --- a/README_KR.md +++ b/README_KR.md @@ -213,6 +213,15 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했 ##### AWS - [KevinZhao의 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)를 통해 원클릭으로 Dify를 Alibaba Cloud에 배포할 수 있습니다 + + ## 기여 코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요. diff --git a/README_PT.md b/README_PT.md index 157772d528..fb5f3662ae 100644 --- a/README_PT.md +++ b/README_PT.md @@ -218,6 +218,15 @@ Implante o Dify na AWS usando [CDK](https://aws.amazon.com/cdk/) ##### AWS - [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +Implante o Dify na Alibaba Cloud com um clique usando o [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Contribuindo Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). diff --git a/README_SI.md b/README_SI.md index 14de1ea792..647069a220 100644 --- a/README_SI.md +++ b/README_SI.md @@ -219,6 +219,15 @@ Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/) ##### AWS - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +Z enim klikom namestite Dify na Alibaba Cloud z [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Prispevam Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. diff --git a/README_TR.md b/README_TR.md index 563a05af3c..f52335646a 100644 --- a/README_TR.md +++ b/README_TR.md @@ -212,6 +212,15 @@ Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.ter ##### AWS - [AWS CDK tarafından @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) kullanarak Dify'ı tek tıkla Alibaba Cloud'a dağıtın + + ## Katkıda Bulunma Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz. diff --git a/README_TW.md b/README_TW.md index f4a76ac109..71082ff893 100644 --- a/README_TW.md +++ b/README_TW.md @@ -224,6 +224,15 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify - [由 @KevinZhao 提供的 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) +#### 使用 阿里云计算巢進行部署 + +[阿里云](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### 使用 阿里雲數據管理DMS 進行部署 + +透過 [阿里雲數據管理DMS](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)，一鍵將 Dify 部署至阿里雲 + + ## 貢獻 對於想要貢獻程式碼的開發者，請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。 diff --git a/README_VI.md b/README_VI.md index 4e1e05cbf3..58d8434fff 100644 --- a/README_VI.md +++ b/README_VI.md @@ -214,6 +214,16 @@ Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/) ##### AWS - [AWS CDK bởi @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) + +#### Alibaba Cloud + +[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) + +#### Alibaba Cloud Data Management + +Triển khai Dify lên Alibaba Cloud chỉ với một cú nhấp chuột bằng [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) + + ## Đóng góp Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi. diff --git a/api/.env.example b/api/.env.example index 7878308588..baa9c382c8 100644 --- a/api/.env.example +++ b/api/.env.example @@ -137,7 +137,7 @@ WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,* CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,* # Vector database configuration -# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase, opengauss, tablestore +# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase, opengauss, tablestore, matrixone VECTOR_STORE=weaviate # Weaviate configuration @@ -294,6 +294,13 @@ VIKINGDB_SCHEMA=http VIKINGDB_CONNECTION_TIMEOUT=30 VIKINGDB_SOCKET_TIMEOUT=30 +# Matrixone configration +MATRIXONE_HOST=127.0.0.1 +MATRIXONE_PORT=6001 +MATRIXONE_USER=dump +MATRIXONE_PASSWORD=111 +MATRIXONE_DATABASE=dify + # Lindorm configuration LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070 LINDORM_USERNAME=admin @@ -332,9 +339,11 @@ PROMPT_GENERATION_MAX_TOKENS=512 CODE_GENERATION_MAX_TOKENS=1024 PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false -# Mail configuration, support: resend, smtp +# Mail configuration, support: resend, smtp, sendgrid MAIL_TYPE= +# If using SendGrid, use the 'from' field for authentication if necessary. MAIL_DEFAULT_SEND_FROM=no-reply +# resend configuration RESEND_API_KEY= RESEND_API_URL=https://api.resend.com # smtp configuration @@ -344,7 +353,8 @@ SMTP_USERNAME=123 SMTP_PASSWORD=abc SMTP_USE_TLS=true SMTP_OPPORTUNISTIC_TLS=false - +# Sendgid configuration +SENDGRID_API_KEY= # Sentry configuration SENTRY_DSN= diff --git a/api/.ruff.toml b/api/.ruff.toml index facb0d5419..0169613bf8 100644 --- a/api/.ruff.toml +++ b/api/.ruff.toml @@ -1,6 +1,4 @@ -exclude = [ - "migrations/*", -] +exclude = ["migrations/*"] line-length = 120 [format] @@ -9,14 +7,14 @@ quote-style = "double" [lint] preview = false select = [ - "B", # flake8-bugbear rules - "C4", # flake8-comprehensions - "E", # pycodestyle E rules - "F", # pyflakes rules - "FURB", # refurb rules - "I", # isort rules - "N", # pep8-naming - "PT", # flake8-pytest-style rules + "B", # flake8-bugbear rules + "C4", # flake8-comprehensions + "E", # pycodestyle E rules + "F", # pyflakes rules + "FURB", # refurb rules + "I", # isort rules + "N", # pep8-naming + "PT", # flake8-pytest-style rules "PLC0208", # iteration-over-set "PLC0414", # useless-import-alias "PLE0604", # invalid-all-object @@ -24,19 +22,19 @@ select = [ "PLR0402", # manual-from-import "PLR1711", # useless-return "PLR1714", # repeated-equality-comparison - "RUF013", # implicit-optional - "RUF019", # unnecessary-key-check - "RUF100", # unused-noqa - "RUF101", # redirected-noqa - "RUF200", # invalid-pyproject-toml - "RUF022", # unsorted-dunder-all - "S506", # unsafe-yaml-load - "SIM", # flake8-simplify rules - "TRY400", # error-instead-of-exception - "TRY401", # verbose-log-message - "UP", # pyupgrade rules - "W191", # tab-indentation - "W605", # invalid-escape-sequence + "RUF013", # implicit-optional + "RUF019", # unnecessary-key-check + "RUF100", # unused-noqa + "RUF101", # redirected-noqa + "RUF200", # invalid-pyproject-toml + "RUF022", # unsorted-dunder-all + "S506", # unsafe-yaml-load + "SIM", # flake8-simplify rules + "TRY400", # error-instead-of-exception + "TRY401", # verbose-log-message + "UP", # pyupgrade rules + "W191", # tab-indentation + "W605", # invalid-escape-sequence # security related linting rules # RCE proctection (sort of) "S102", # exec-builtin, disallow use of `exec` @@ -47,36 +45,37 @@ select = [ ] ignore = [ - "E402", # module-import-not-at-top-of-file - "E711", # none-comparison - "E712", # true-false-comparison - "E721", # type-comparison - "E722", # bare-except - "F821", # undefined-name - "F841", # unused-variable + "E402", # module-import-not-at-top-of-file + "E711", # none-comparison + "E712", # true-false-comparison + "E721", # type-comparison + "E722", # bare-except + "F821", # undefined-name + "F841", # unused-variable "FURB113", # repeated-append "FURB152", # math-constant - "UP007", # non-pep604-annotation - "UP032", # f-string - "UP045", # non-pep604-annotation-optional - "B005", # strip-with-multi-characters - "B006", # mutable-argument-default - "B007", # unused-loop-control-variable - "B026", # star-arg-unpacking-after-keyword-arg - "B903", # class-as-data-structure - "B904", # raise-without-from-inside-except - "B905", # zip-without-explicit-strict - "N806", # non-lowercase-variable-in-function - "N815", # mixed-case-variable-in-class-scope - "PT011", # pytest-raises-too-broad - "SIM102", # collapsible-if - "SIM103", # needless-bool - "SIM105", # suppressible-exception - "SIM107", # return-in-try-except-finally - "SIM108", # if-else-block-instead-of-if-exp - "SIM113", # enumerate-for-loop - "SIM117", # multiple-with-statements - "SIM210", # if-expr-with-true-false + "UP007", # non-pep604-annotation + "UP032", # f-string + "UP045", # non-pep604-annotation-optional + "B005", # strip-with-multi-characters + "B006", # mutable-argument-default + "B007", # unused-loop-control-variable + "B026", # star-arg-unpacking-after-keyword-arg + "B903", # class-as-data-structure + "B904", # raise-without-from-inside-except + "B905", # zip-without-explicit-strict + "N806", # non-lowercase-variable-in-function + "N815", # mixed-case-variable-in-class-scope + "PT011", # pytest-raises-too-broad + "SIM102", # collapsible-if + "SIM103", # needless-bool + "SIM105", # suppressible-exception + "SIM107", # return-in-try-except-finally + "SIM108", # if-else-block-instead-of-if-exp + "SIM113", # enumerate-for-loop + "SIM117", # multiple-with-statements + "SIM210", # if-expr-with-true-false + "UP038", # deprecated and not recommended by Ruff, https://docs.astral.sh/ruff/rules/non-pep604-isinstance/ ] [lint.per-file-ignores] diff --git a/api/commands.py b/api/commands.py index 0a6cc61a68..86769847c1 100644 --- a/api/commands.py +++ b/api/commands.py @@ -281,6 +281,7 @@ def migrate_knowledge_vector_database(): VectorType.ELASTICSEARCH, VectorType.OPENGAUSS, VectorType.TABLESTORE, + VectorType.MATRIXONE, } lower_collection_vector_types = { VectorType.ANALYTICDB, diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index a3da5c1b49..df15b92c35 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -609,7 +609,7 @@ class MailConfig(BaseSettings): """ MAIL_TYPE: Optional[str] = Field( - description="Email service provider type ('smtp' or 'resend'), default to None.", + description="Email service provider type ('smtp' or 'resend' or 'sendGrid), default to None.", default=None, ) @@ -663,6 +663,11 @@ class MailConfig(BaseSettings): default=50, ) + SENDGRID_API_KEY: Optional[str] = Field( + description="API key for SendGrid service", + default=None, + ) + class RagEtlConfig(BaseSettings): """ diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py index 2dcf1710b0..60ba272ec9 100644 --- a/api/configs/middleware/__init__.py +++ b/api/configs/middleware/__init__.py @@ -24,6 +24,7 @@ from .vdb.couchbase_config import CouchbaseConfig from .vdb.elasticsearch_config import ElasticsearchConfig from .vdb.huawei_cloud_config import HuaweiCloudConfig from .vdb.lindorm_config import LindormConfig +from .vdb.matrixone_config import MatrixoneConfig from .vdb.milvus_config import MilvusConfig from .vdb.myscale_config import MyScaleConfig from .vdb.oceanbase_config import OceanBaseVectorConfig @@ -323,5 +324,6 @@ class MiddlewareConfig( OpenGaussConfig, TableStoreConfig, DatasetQueueMonitorConfig, + MatrixoneConfig, ): pass diff --git a/api/configs/middleware/vdb/matrixone_config.py b/api/configs/middleware/vdb/matrixone_config.py new file mode 100644 index 0000000000..9400612d8e --- /dev/null +++ b/api/configs/middleware/vdb/matrixone_config.py @@ -0,0 +1,14 @@ +from pydantic import BaseModel, Field + + +class MatrixoneConfig(BaseModel): + """Matrixone vector database configuration.""" + + MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server") + MATRIXONE_PORT: int = Field(default=6001, description="Port number of the Matrixone server") + MATRIXONE_USER: str = Field(default="dump", description="Username for authenticating with Matrixone") + MATRIXONE_PASSWORD: str = Field(default="111", description="Password for authenticating with Matrixone") + MATRIXONE_DATABASE: str = Field(default="dify", description="Name of the Matrixone database to connect to") + MATRIXONE_METRIC: str = Field( + default="l2", description="Distance metric type for vector similarity search (cosine or l2)" + ) diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index 5f209736a0..0107df22c5 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings): CURRENT_VERSION: str = Field( description="Dify version", - default="1.4.2", + default="1.4.3", ) COMMIT_SHA: str = Field( diff --git a/api/controllers/console/__init__.py b/api/controllers/console/__init__.py index a974c63e35..dbdcdc46ce 100644 --- a/api/controllers/console/__init__.py +++ b/api/controllers/console/__init__.py @@ -63,6 +63,7 @@ from .app import ( statistic, workflow, workflow_app_log, + workflow_draft_variable, workflow_run, workflow_statistic, ) diff --git a/api/controllers/console/admin.py b/api/controllers/console/admin.py index 8cb7ad9f5b..f5257fae79 100644 --- a/api/controllers/console/admin.py +++ b/api/controllers/console/admin.py @@ -56,8 +56,7 @@ class InsertExploreAppListApi(Resource): parser.add_argument("position", type=int, required=True, nullable=False, location="json") args = parser.parse_args() - with Session(db.engine) as session: - app = session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none() + app = db.session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none() if not app: raise NotFound(f"App '{args['app_id']}' is not found") @@ -78,38 +77,38 @@ class InsertExploreAppListApi(Resource): select(RecommendedApp).filter(RecommendedApp.app_id == args["app_id"]) ).scalar_one_or_none() - if not recommended_app: - recommended_app = RecommendedApp( - app_id=app.id, - description=desc, - copyright=copy_right, - privacy_policy=privacy_policy, - custom_disclaimer=custom_disclaimer, - language=args["language"], - category=args["category"], - position=args["position"], - ) + if not recommended_app: + recommended_app = RecommendedApp( + app_id=app.id, + description=desc, + copyright=copy_right, + privacy_policy=privacy_policy, + custom_disclaimer=custom_disclaimer, + language=args["language"], + category=args["category"], + position=args["position"], + ) - db.session.add(recommended_app) + db.session.add(recommended_app) - app.is_public = True - db.session.commit() + app.is_public = True + db.session.commit() - return {"result": "success"}, 201 - else: - recommended_app.description = desc - recommended_app.copyright = copy_right - recommended_app.privacy_policy = privacy_policy - recommended_app.custom_disclaimer = custom_disclaimer - recommended_app.language = args["language"] - recommended_app.category = args["category"] - recommended_app.position = args["position"] + return {"result": "success"}, 201 + else: + recommended_app.description = desc + recommended_app.copyright = copy_right + recommended_app.privacy_policy = privacy_policy + recommended_app.custom_disclaimer = custom_disclaimer + recommended_app.language = args["language"] + recommended_app.category = args["category"] + recommended_app.position = args["position"] - app.is_public = True + app.is_public = True - db.session.commit() + db.session.commit() - return {"result": "success"}, 200 + return {"result": "success"}, 200 class InsertExploreAppApi(Resource): diff --git a/api/controllers/console/app/annotation.py b/api/controllers/console/app/annotation.py index 14fd4679a1..2b48afd550 100644 --- a/api/controllers/console/app/annotation.py +++ b/api/controllers/console/app/annotation.py @@ -208,7 +208,7 @@ class AnnotationBatchImportApi(Resource): if len(request.files) > 1: raise TooManyFilesError() # check file type - if not file.filename or not file.filename.endswith(".csv"): + if not file.filename or not file.filename.lower().endswith(".csv"): raise ValueError("Invalid file type. Only CSV files are allowed") return AppAnnotationService.batch_import_app_annotations(app_id, file) diff --git a/api/controllers/console/app/app_import.py b/api/controllers/console/app/app_import.py index 5dc6515ce0..9ffb94e9f9 100644 --- a/api/controllers/console/app/app_import.py +++ b/api/controllers/console/app/app_import.py @@ -17,6 +17,8 @@ from libs.login import login_required from models import Account from models.model import App from services.app_dsl_service import AppDslService, ImportStatus +from services.enterprise.enterprise_service import EnterpriseService +from services.feature_service import FeatureService class AppImportApi(Resource): @@ -60,7 +62,9 @@ class AppImportApi(Resource): app_id=args.get("app_id"), ) session.commit() - + if result.app_id and FeatureService.get_system_features().webapp_auth.enabled: + # update web app setting as private + EnterpriseService.WebAppAuth.update_app_access_mode(result.app_id, "private") # Return appropriate status code based on result status = result.status if status == ImportStatus.FAILED.value: diff --git a/api/controllers/console/app/workflow.py b/api/controllers/console/app/workflow.py index cbbdd324ba..a9f088a276 100644 --- a/api/controllers/console/app/workflow.py +++ b/api/controllers/console/app/workflow.py @@ -1,5 +1,6 @@ import json import logging +from collections.abc import Sequence from typing import cast from flask import abort, request @@ -18,10 +19,12 @@ from controllers.console.app.error import ( from controllers.console.app.wraps import get_app_model from controllers.console.wraps import account_initialization_required, setup_required from controllers.web.error import InvokeRateLimitError as InvokeRateLimitHttpError +from core.app.app_config.features.file_upload.manager import FileUploadConfigManager from core.app.apps.base_app_queue_manager import AppQueueManager from core.app.entities.app_invoke_entities import InvokeFrom +from core.file.models import File from extensions.ext_database import db -from factories import variable_factory +from factories import file_factory, variable_factory from fields.workflow_fields import workflow_fields, workflow_pagination_fields from fields.workflow_run_fields import workflow_run_node_execution_fields from libs import helper @@ -30,6 +33,7 @@ from libs.login import current_user, login_required from models import App from models.account import Account from models.model import AppMode +from models.workflow import Workflow from services.app_generate_service import AppGenerateService from services.errors.app import WorkflowHashNotEqualError from services.errors.llm import InvokeRateLimitError @@ -38,6 +42,24 @@ from services.workflow_service import DraftWorkflowDeletionError, WorkflowInUseE logger = logging.getLogger(__name__) +# TODO(QuantumGhost): Refactor existing node run API to handle file parameter parsing +# at the controller level rather than in the workflow logic. This would improve separation +# of concerns and make the code more maintainable. +def _parse_file(workflow: Workflow, files: list[dict] | None = None) -> Sequence[File]: + files = files or [] + + file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False) + file_objs: Sequence[File] = [] + if file_extra_config is None: + return file_objs + file_objs = file_factory.build_from_mappings( + mappings=files, + tenant_id=workflow.tenant_id, + config=file_extra_config, + ) + return file_objs + + class DraftWorkflowApi(Resource): @setup_required @login_required @@ -402,15 +424,30 @@ class DraftWorkflowNodeRunApi(Resource): parser = reqparse.RequestParser() parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json") + parser.add_argument("query", type=str, required=False, location="json", default="") + parser.add_argument("files", type=list, location="json", default=[]) args = parser.parse_args() - inputs = args.get("inputs") - if inputs == None: + user_inputs = args.get("inputs") + if user_inputs is None: raise ValueError("missing inputs") + workflow_srv = WorkflowService() + # fetch draft workflow by app_model + draft_workflow = workflow_srv.get_draft_workflow(app_model=app_model) + if not draft_workflow: + raise ValueError("Workflow not initialized") + files = _parse_file(draft_workflow, args.get("files")) workflow_service = WorkflowService() + workflow_node_execution = workflow_service.run_draft_workflow_node( - app_model=app_model, node_id=node_id, user_inputs=inputs, account=current_user + app_model=app_model, + draft_workflow=draft_workflow, + node_id=node_id, + user_inputs=user_inputs, + account=current_user, + query=args.get("query", ""), + files=files, ) return workflow_node_execution @@ -731,6 +768,27 @@ class WorkflowByIdApi(Resource): return None, 204 +class DraftWorkflowNodeLastRunApi(Resource): + @setup_required + @login_required + @account_initialization_required + @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW]) + @marshal_with(workflow_run_node_execution_fields) + def get(self, app_model: App, node_id: str): + srv = WorkflowService() + workflow = srv.get_draft_workflow(app_model) + if not workflow: + raise NotFound("Workflow not found") + node_exec = srv.get_node_last_run( + app_model=app_model, + workflow=workflow, + node_id=node_id, + ) + if node_exec is None: + raise NotFound("last run not found") + return node_exec + + api.add_resource( DraftWorkflowApi, "/apps//workflows/draft", @@ -795,3 +853,7 @@ api.add_resource( WorkflowByIdApi, "/apps//workflows/", ) +api.add_resource( + DraftWorkflowNodeLastRunApi, + "/apps//workflows/draft/nodes//last-run", +) diff --git a/api/controllers/console/app/workflow_app_log.py b/api/controllers/console/app/workflow_app_log.py index b9579e2120..310146a5e7 100644 --- a/api/controllers/console/app/workflow_app_log.py +++ b/api/controllers/console/app/workflow_app_log.py @@ -34,6 +34,20 @@ class WorkflowAppLogApi(Resource): parser.add_argument( "created_at__after", type=str, location="args", help="Filter logs created after this timestamp" ) + parser.add_argument( + "created_by_end_user_session_id", + type=str, + location="args", + required=False, + default=None, + ) + parser.add_argument( + "created_by_account", + type=str, + location="args", + required=False, + default=None, + ) parser.add_argument("page", type=int_range(1, 99999), default=1, location="args") parser.add_argument("limit", type=int_range(1, 100), default=20, location="args") args = parser.parse_args() @@ -57,6 +71,8 @@ class WorkflowAppLogApi(Resource): created_at_after=args.created_at__after, page=args.page, limit=args.limit, + created_by_end_user_session_id=args.created_by_end_user_session_id, + created_by_account=args.created_by_account, ) return workflow_app_log_pagination diff --git a/api/controllers/console/app/workflow_draft_variable.py b/api/controllers/console/app/workflow_draft_variable.py new file mode 100644 index 0000000000..00d6fa3cbf --- /dev/null +++ b/api/controllers/console/app/workflow_draft_variable.py @@ -0,0 +1,421 @@ +import logging +from typing import Any, NoReturn + +from flask import Response +from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse +from sqlalchemy.orm import Session +from werkzeug.exceptions import Forbidden + +from controllers.console import api +from controllers.console.app.error import ( + DraftWorkflowNotExist, +) +from controllers.console.app.wraps import get_app_model +from controllers.console.wraps import account_initialization_required, setup_required +from controllers.web.error import InvalidArgumentError, NotFoundError +from core.variables.segment_group import SegmentGroup +from core.variables.segments import ArrayFileSegment, FileSegment, Segment +from core.variables.types import SegmentType +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID +from factories.file_factory import build_from_mapping, build_from_mappings +from factories.variable_factory import build_segment_with_type +from libs.login import current_user, login_required +from models import App, AppMode, db +from models.workflow import WorkflowDraftVariable +from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService +from services.workflow_service import WorkflowService + +logger = logging.getLogger(__name__) + + +def _convert_values_to_json_serializable_object(value: Segment) -> Any: + if isinstance(value, FileSegment): + return value.value.model_dump() + elif isinstance(value, ArrayFileSegment): + return [i.model_dump() for i in value.value] + elif isinstance(value, SegmentGroup): + return [_convert_values_to_json_serializable_object(i) for i in value.value] + else: + return value.value + + +def _serialize_var_value(variable: WorkflowDraftVariable) -> Any: + value = variable.get_value() + # create a copy of the value to avoid affecting the model cache. + value = value.model_copy(deep=True) + # Refresh the url signature before returning it to client. + if isinstance(value, FileSegment): + file = value.value + file.remote_url = file.generate_url() + elif isinstance(value, ArrayFileSegment): + files = value.value + for file in files: + file.remote_url = file.generate_url() + return _convert_values_to_json_serializable_object(value) + + +def _create_pagination_parser(): + parser = reqparse.RequestParser() + parser.add_argument( + "page", + type=inputs.int_range(1, 100_000), + required=False, + default=1, + location="args", + help="the page of data requested", + ) + parser.add_argument("limit", type=inputs.int_range(1, 100), required=False, default=20, location="args") + return parser + + +_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS = { + "id": fields.String, + "type": fields.String(attribute=lambda model: model.get_variable_type()), + "name": fields.String, + "description": fields.String, + "selector": fields.List(fields.String, attribute=lambda model: model.get_selector()), + "value_type": fields.String, + "edited": fields.Boolean(attribute=lambda model: model.edited), + "visible": fields.Boolean, +} + +_WORKFLOW_DRAFT_VARIABLE_FIELDS = dict( + _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS, + value=fields.Raw(attribute=_serialize_var_value), +) + +_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS = { + "id": fields.String, + "type": fields.String(attribute=lambda _: "env"), + "name": fields.String, + "description": fields.String, + "selector": fields.List(fields.String, attribute=lambda model: model.get_selector()), + "value_type": fields.String, + "edited": fields.Boolean(attribute=lambda model: model.edited), + "visible": fields.Boolean, +} + +_WORKFLOW_DRAFT_ENV_VARIABLE_LIST_FIELDS = { + "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS)), +} + + +def _get_items(var_list: WorkflowDraftVariableList) -> list[WorkflowDraftVariable]: + return var_list.variables + + +_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS = { + "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS), attribute=_get_items), + "total": fields.Raw(), +} + +_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS = { + "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_FIELDS), attribute=_get_items), +} + + +def _api_prerequisite(f): + """Common prerequisites for all draft workflow variable APIs. + + It ensures the following conditions are satisfied: + + - Dify has been property setup. + - The request user has logged in and initialized. + - The requested app is a workflow or a chat flow. + - The request user has the edit permission for the app. + """ + + @setup_required + @login_required + @account_initialization_required + @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW]) + def wrapper(*args, **kwargs): + if not current_user.is_editor: + raise Forbidden() + return f(*args, **kwargs) + + return wrapper + + +class WorkflowVariableCollectionApi(Resource): + @_api_prerequisite + @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS) + def get(self, app_model: App): + """ + Get draft workflow + """ + parser = _create_pagination_parser() + args = parser.parse_args() + + # fetch draft workflow by app_model + workflow_service = WorkflowService() + workflow_exist = workflow_service.is_workflow_exist(app_model=app_model) + if not workflow_exist: + raise DraftWorkflowNotExist() + + # fetch draft workflow by app_model + with Session(bind=db.engine, expire_on_commit=False) as session: + draft_var_srv = WorkflowDraftVariableService( + session=session, + ) + workflow_vars = draft_var_srv.list_variables_without_values( + app_id=app_model.id, + page=args.page, + limit=args.limit, + ) + + return workflow_vars + + @_api_prerequisite + def delete(self, app_model: App): + draft_var_srv = WorkflowDraftVariableService( + session=db.session(), + ) + draft_var_srv.delete_workflow_variables(app_model.id) + db.session.commit() + return Response("", 204) + + +def validate_node_id(node_id: str) -> NoReturn | None: + if node_id in [ + CONVERSATION_VARIABLE_NODE_ID, + SYSTEM_VARIABLE_NODE_ID, + ]: + # NOTE(QuantumGhost): While we store the system and conversation variables as node variables + # with specific `node_id` in database, we still want to make the API separated. By disallowing + # accessing system and conversation variables in `WorkflowDraftNodeVariableListApi`, + # we mitigate the risk that user of the API depending on the implementation detail of the API. + # + # ref: [Hyrum's Law](https://www.hyrumslaw.com/) + + raise InvalidArgumentError( + f"invalid node_id, please use correspond api for conversation and system variables, node_id={node_id}", + ) + return None + + +class NodeVariableCollectionApi(Resource): + @_api_prerequisite + @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS) + def get(self, app_model: App, node_id: str): + validate_node_id(node_id) + with Session(bind=db.engine, expire_on_commit=False) as session: + draft_var_srv = WorkflowDraftVariableService( + session=session, + ) + node_vars = draft_var_srv.list_node_variables(app_model.id, node_id) + + return node_vars + + @_api_prerequisite + def delete(self, app_model: App, node_id: str): + validate_node_id(node_id) + srv = WorkflowDraftVariableService(db.session()) + srv.delete_node_variables(app_model.id, node_id) + db.session.commit() + return Response("", 204) + + +class VariableApi(Resource): + _PATCH_NAME_FIELD = "name" + _PATCH_VALUE_FIELD = "value" + + @_api_prerequisite + @marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS) + def get(self, app_model: App, variable_id: str): + draft_var_srv = WorkflowDraftVariableService( + session=db.session(), + ) + variable = draft_var_srv.get_variable(variable_id=variable_id) + if variable is None: + raise NotFoundError(description=f"variable not found, id={variable_id}") + if variable.app_id != app_model.id: + raise NotFoundError(description=f"variable not found, id={variable_id}") + return variable + + @_api_prerequisite + @marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS) + def patch(self, app_model: App, variable_id: str): + # Request payload for file types: + # + # Local File: + # + # { + # "type": "image", + # "transfer_method": "local_file", + # "url": "", + # "upload_file_id": "daded54f-72c7-4f8e-9d18-9b0abdd9f190" + # } + # + # Remote File: + # + # + # { + # "type": "image", + # "transfer_method": "remote_url", + # "url": "http://127.0.0.1:5001/files/1602650a-4fe4-423c-85a2-af76c083e3c4/file-preview?timestamp=1750041099&nonce=...&sign=...=", + # "upload_file_id": "1602650a-4fe4-423c-85a2-af76c083e3c4" + # } + + parser = reqparse.RequestParser() + parser.add_argument(self._PATCH_NAME_FIELD, type=str, required=False, nullable=True, location="json") + # Parse 'value' field as-is to maintain its original data structure + parser.add_argument(self._PATCH_VALUE_FIELD, type=lambda x: x, required=False, nullable=True, location="json") + + draft_var_srv = WorkflowDraftVariableService( + session=db.session(), + ) + args = parser.parse_args(strict=True) + + variable = draft_var_srv.get_variable(variable_id=variable_id) + if variable is None: + raise NotFoundError(description=f"variable not found, id={variable_id}") + if variable.app_id != app_model.id: + raise NotFoundError(description=f"variable not found, id={variable_id}") + + new_name = args.get(self._PATCH_NAME_FIELD, None) + raw_value = args.get(self._PATCH_VALUE_FIELD, None) + if new_name is None and raw_value is None: + return variable + + new_value = None + if raw_value is not None: + if variable.value_type == SegmentType.FILE: + if not isinstance(raw_value, dict): + raise InvalidArgumentError(description=f"expected dict for file, got {type(raw_value)}") + raw_value = build_from_mapping(mapping=raw_value, tenant_id=app_model.tenant_id) + elif variable.value_type == SegmentType.ARRAY_FILE: + if not isinstance(raw_value, list): + raise InvalidArgumentError(description=f"expected list for files, got {type(raw_value)}") + if len(raw_value) > 0 and not isinstance(raw_value[0], dict): + raise InvalidArgumentError(description=f"expected dict for files[0], got {type(raw_value)}") + raw_value = build_from_mappings(mappings=raw_value, tenant_id=app_model.tenant_id) + new_value = build_segment_with_type(variable.value_type, raw_value) + draft_var_srv.update_variable(variable, name=new_name, value=new_value) + db.session.commit() + return variable + + @_api_prerequisite + def delete(self, app_model: App, variable_id: str): + draft_var_srv = WorkflowDraftVariableService( + session=db.session(), + ) + variable = draft_var_srv.get_variable(variable_id=variable_id) + if variable is None: + raise NotFoundError(description=f"variable not found, id={variable_id}") + if variable.app_id != app_model.id: + raise NotFoundError(description=f"variable not found, id={variable_id}") + draft_var_srv.delete_variable(variable) + db.session.commit() + return Response("", 204) + + +class VariableResetApi(Resource): + @_api_prerequisite + def put(self, app_model: App, variable_id: str): + draft_var_srv = WorkflowDraftVariableService( + session=db.session(), + ) + + workflow_srv = WorkflowService() + draft_workflow = workflow_srv.get_draft_workflow(app_model) + if draft_workflow is None: + raise NotFoundError( + f"Draft workflow not found, app_id={app_model.id}", + ) + variable = draft_var_srv.get_variable(variable_id=variable_id) + if variable is None: + raise NotFoundError(description=f"variable not found, id={variable_id}") + if variable.app_id != app_model.id: + raise NotFoundError(description=f"variable not found, id={variable_id}") + + resetted = draft_var_srv.reset_variable(draft_workflow, variable) + db.session.commit() + if resetted is None: + return Response("", 204) + else: + return marshal(resetted, _WORKFLOW_DRAFT_VARIABLE_FIELDS) + + +def _get_variable_list(app_model: App, node_id) -> WorkflowDraftVariableList: + with Session(bind=db.engine, expire_on_commit=False) as session: + draft_var_srv = WorkflowDraftVariableService( + session=session, + ) + if node_id == CONVERSATION_VARIABLE_NODE_ID: + draft_vars = draft_var_srv.list_conversation_variables(app_model.id) + elif node_id == SYSTEM_VARIABLE_NODE_ID: + draft_vars = draft_var_srv.list_system_variables(app_model.id) + else: + draft_vars = draft_var_srv.list_node_variables(app_id=app_model.id, node_id=node_id) + return draft_vars + + +class ConversationVariableCollectionApi(Resource): + @_api_prerequisite + @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS) + def get(self, app_model: App): + # NOTE(QuantumGhost): Prefill conversation variables into the draft variables table + # so their IDs can be returned to the caller. + workflow_srv = WorkflowService() + draft_workflow = workflow_srv.get_draft_workflow(app_model) + if draft_workflow is None: + raise NotFoundError(description=f"draft workflow not found, id={app_model.id}") + draft_var_srv = WorkflowDraftVariableService(db.session()) + draft_var_srv.prefill_conversation_variable_default_values(draft_workflow) + db.session.commit() + return _get_variable_list(app_model, CONVERSATION_VARIABLE_NODE_ID) + + +class SystemVariableCollectionApi(Resource): + @_api_prerequisite + @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS) + def get(self, app_model: App): + return _get_variable_list(app_model, SYSTEM_VARIABLE_NODE_ID) + + +class EnvironmentVariableCollectionApi(Resource): + @_api_prerequisite + def get(self, app_model: App): + """ + Get draft workflow + """ + # fetch draft workflow by app_model + workflow_service = WorkflowService() + workflow = workflow_service.get_draft_workflow(app_model=app_model) + if workflow is None: + raise DraftWorkflowNotExist() + + env_vars = workflow.environment_variables + env_vars_list = [] + for v in env_vars: + env_vars_list.append( + { + "id": v.id, + "type": "env", + "name": v.name, + "description": v.description, + "selector": v.selector, + "value_type": v.value_type.value, + "value": v.value, + # Do not track edited for env vars. + "edited": False, + "visible": True, + "editable": True, + } + ) + + return {"items": env_vars_list} + + +api.add_resource( + WorkflowVariableCollectionApi, + "/apps//workflows/draft/variables", +) +api.add_resource(NodeVariableCollectionApi, "/apps//workflows/draft/nodes//variables") +api.add_resource(VariableApi, "/apps//workflows/draft/variables/") +api.add_resource(VariableResetApi, "/apps//workflows/draft/variables//reset") + +api.add_resource(ConversationVariableCollectionApi, "/apps//workflows/draft/conversation-variables") +api.add_resource(SystemVariableCollectionApi, "/apps//workflows/draft/system-variables") +api.add_resource(EnvironmentVariableCollectionApi, "/apps//workflows/draft/environment-variables") diff --git a/api/controllers/console/app/wraps.py b/api/controllers/console/app/wraps.py index 9ad8c15847..03b60610aa 100644 --- a/api/controllers/console/app/wraps.py +++ b/api/controllers/console/app/wraps.py @@ -8,6 +8,15 @@ from libs.login import current_user from models import App, AppMode +def _load_app_model(app_id: str) -> Optional[App]: + app_model = ( + db.session.query(App) + .filter(App.id == app_id, App.tenant_id == current_user.current_tenant_id, App.status == "normal") + .first() + ) + return app_model + + def get_app_model(view: Optional[Callable] = None, *, mode: Union[AppMode, list[AppMode], None] = None): def decorator(view_func): @wraps(view_func) @@ -20,11 +29,7 @@ def get_app_model(view: Optional[Callable] = None, *, mode: Union[AppMode, list[ del kwargs["app_id"] - app_model = ( - db.session.query(App) - .filter(App.id == app_id, App.tenant_id == current_user.current_tenant_id, App.status == "normal") - .first() - ) + app_model = _load_app_model(app_id) if not app_model: raise AppNotFoundError() diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index e68273afa6..1611214cb3 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -686,6 +686,7 @@ class DatasetRetrievalSettingApi(Resource): | VectorType.TABLESTORE | VectorType.HUAWEI_CLOUD | VectorType.TENCENT + | VectorType.MATRIXONE ): return { "retrieval_method": [ @@ -733,6 +734,7 @@ class DatasetRetrievalSettingMockApi(Resource): | VectorType.TABLESTORE | VectorType.TENCENT | VectorType.HUAWEI_CLOUD + | VectorType.MATRIXONE ): return { "retrieval_method": [ diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py index f7c04102a9..e0061f933b 100644 --- a/api/controllers/console/datasets/datasets_document.py +++ b/api/controllers/console/datasets/datasets_document.py @@ -43,7 +43,6 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError from core.plugin.impl.exc import PluginDaemonClientSideError from core.rag.extractor.entity.extract_setting import ExtractSetting from extensions.ext_database import db -from extensions.ext_redis import redis_client from fields.document_fields import ( dataset_and_document_fields, document_fields, @@ -54,8 +53,6 @@ from libs.login import login_required from models import Dataset, DatasetProcessRule, Document, DocumentSegment, UploadFile from services.dataset_service import DatasetService, DocumentService from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig -from tasks.add_document_to_index_task import add_document_to_index_task -from tasks.remove_document_from_index_task import remove_document_from_index_task class DocumentResource(Resource): @@ -300,7 +297,7 @@ class DatasetDocumentListApi(Resource): except ModelCurrentlyNotSupportError: raise ProviderModelCurrentlyNotSupportError() - return {"documents": documents, "batch": batch} + return {"dataset": dataset, "documents": documents, "batch": batch} @setup_required @login_required @@ -862,77 +859,16 @@ class DocumentStatusApi(DocumentResource): DatasetService.check_dataset_permission(dataset, current_user) document_ids = request.args.getlist("document_id") - for document_id in document_ids: - document = self.get_document(dataset_id, document_id) - indexing_cache_key = "document_{}_indexing".format(document.id) - cache_result = redis_client.get(indexing_cache_key) - if cache_result is not None: - raise InvalidActionError(f"Document:{document.name} is being indexed, please try again later") + try: + DocumentService.batch_update_document_status(dataset, document_ids, action, current_user) + except services.errors.document.DocumentIndexingError as e: + raise InvalidActionError(str(e)) + except ValueError as e: + raise InvalidActionError(str(e)) + except NotFound as e: + raise NotFound(str(e)) - if action == "enable": - if document.enabled: - continue - document.enabled = True - document.disabled_at = None - document.disabled_by = None - document.updated_at = datetime.now(UTC).replace(tzinfo=None) - db.session.commit() - - # Set cache to prevent indexing the same document multiple times - redis_client.setex(indexing_cache_key, 600, 1) - - add_document_to_index_task.delay(document_id) - - elif action == "disable": - if not document.completed_at or document.indexing_status != "completed": - raise InvalidActionError(f"Document: {document.name} is not completed.") - if not document.enabled: - continue - - document.enabled = False - document.disabled_at = datetime.now(UTC).replace(tzinfo=None) - document.disabled_by = current_user.id - document.updated_at = datetime.now(UTC).replace(tzinfo=None) - db.session.commit() - - # Set cache to prevent indexing the same document multiple times - redis_client.setex(indexing_cache_key, 600, 1) - - remove_document_from_index_task.delay(document_id) - - elif action == "archive": - if document.archived: - continue - - document.archived = True - document.archived_at = datetime.now(UTC).replace(tzinfo=None) - document.archived_by = current_user.id - document.updated_at = datetime.now(UTC).replace(tzinfo=None) - db.session.commit() - - if document.enabled: - # Set cache to prevent indexing the same document multiple times - redis_client.setex(indexing_cache_key, 600, 1) - - remove_document_from_index_task.delay(document_id) - - elif action == "un_archive": - if not document.archived: - continue - document.archived = False - document.archived_at = None - document.archived_by = None - document.updated_at = datetime.now(UTC).replace(tzinfo=None) - db.session.commit() - - # Set cache to prevent indexing the same document multiple times - redis_client.setex(indexing_cache_key, 600, 1) - - add_document_to_index_task.delay(document_id) - - else: - raise InvalidActionError() return {"result": "success"}, 200 diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py index bc37907a30..48142dbe73 100644 --- a/api/controllers/console/datasets/datasets_segments.py +++ b/api/controllers/console/datasets/datasets_segments.py @@ -374,7 +374,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource): if len(request.files) > 1: raise TooManyFilesError() # check file type - if not file.filename or not file.filename.endswith(".csv"): + if not file.filename or not file.filename.lower().endswith(".csv"): raise ValueError("Invalid file type. Only CSV files are allowed") try: diff --git a/api/controllers/console/workspace/load_balancing_config.py b/api/controllers/console/workspace/load_balancing_config.py index ba74e2c074..b4eb5e246b 100644 --- a/api/controllers/console/workspace/load_balancing_config.py +++ b/api/controllers/console/workspace/load_balancing_config.py @@ -15,7 +15,7 @@ class LoadBalancingCredentialsValidateApi(Resource): @login_required @account_initialization_required def post(self, provider: str): - if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role): + if not TenantAccountRole.is_privileged_role(current_user.current_role): raise Forbidden() tenant_id = current_user.current_tenant_id @@ -64,7 +64,7 @@ class LoadBalancingConfigCredentialsValidateApi(Resource): @login_required @account_initialization_required def post(self, provider: str, config_id: str): - if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role): + if not TenantAccountRole.is_privileged_role(current_user.current_role): raise Forbidden() tenant_id = current_user.current_tenant_id diff --git a/api/controllers/service_api/app/workflow.py b/api/controllers/service_api/app/workflow.py index df52b49424..efb4acc5fb 100644 --- a/api/controllers/service_api/app/workflow.py +++ b/api/controllers/service_api/app/workflow.py @@ -135,6 +135,20 @@ class WorkflowAppLogApi(Resource): parser.add_argument("status", type=str, choices=["succeeded", "failed", "stopped"], location="args") parser.add_argument("created_at__before", type=str, location="args") parser.add_argument("created_at__after", type=str, location="args") + parser.add_argument( + "created_by_end_user_session_id", + type=str, + location="args", + required=False, + default=None, + ) + parser.add_argument( + "created_by_account", + type=str, + location="args", + required=False, + default=None, + ) parser.add_argument("page", type=int_range(1, 99999), default=1, location="args") parser.add_argument("limit", type=int_range(1, 100), default=20, location="args") args = parser.parse_args() @@ -158,6 +172,8 @@ class WorkflowAppLogApi(Resource): created_at_after=args.created_at__after, page=args.page, limit=args.limit, + created_by_end_user_session_id=args.created_by_end_user_session_id, + created_by_account=args.created_by_account, ) return workflow_app_log_pagination diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index 27e8dd3fa6..839afdb9fd 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -4,8 +4,12 @@ from werkzeug.exceptions import Forbidden, NotFound import services.dataset_service from controllers.service_api import api -from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError -from controllers.service_api.wraps import DatasetApiResource, validate_dataset_token +from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError, InvalidActionError +from controllers.service_api.wraps import ( + DatasetApiResource, + cloud_edition_billing_rate_limit_check, + validate_dataset_token, +) from core.model_runtime.entities.model_entities import ModelType from core.plugin.entities.plugin import ModelProviderID from core.provider_manager import ProviderManager @@ -13,7 +17,7 @@ from fields.dataset_fields import dataset_detail_fields from fields.tag_fields import tag_fields from libs.login import current_user from models.dataset import Dataset, DatasetPermissionEnum -from services.dataset_service import DatasetPermissionService, DatasetService +from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService from services.entities.knowledge_entities.knowledge_entities import RetrievalModel from services.tag_service import TagService @@ -70,6 +74,7 @@ class DatasetListApi(DatasetApiResource): response = {"data": data, "has_more": len(datasets) == limit, "limit": limit, "total": total, "page": page} return response, 200 + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id): """Resource for creating datasets.""" parser = reqparse.RequestParser() @@ -193,6 +198,7 @@ class DatasetApi(DatasetApiResource): return data, 200 + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def patch(self, _, dataset_id): dataset_id_str = str(dataset_id) dataset = DatasetService.get_dataset(dataset_id_str) @@ -293,6 +299,7 @@ class DatasetApi(DatasetApiResource): return result_data, 200 + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def delete(self, _, dataset_id): """ Deletes a dataset given its ID. @@ -322,6 +329,56 @@ class DatasetApi(DatasetApiResource): raise DatasetInUseError() +class DocumentStatusApi(DatasetApiResource): + """Resource for batch document status operations.""" + + def patch(self, tenant_id, dataset_id, action): + """ + Batch update document status. + + Args: + tenant_id: tenant id + dataset_id: dataset id + action: action to perform (enable, disable, archive, un_archive) + + Returns: + dict: A dictionary with a key 'result' and a value 'success' + int: HTTP status code 200 indicating that the operation was successful. + + Raises: + NotFound: If the dataset with the given ID does not exist. + Forbidden: If the user does not have permission. + InvalidActionError: If the action is invalid or cannot be performed. + """ + dataset_id_str = str(dataset_id) + dataset = DatasetService.get_dataset(dataset_id_str) + + if dataset is None: + raise NotFound("Dataset not found.") + + # Check user's permission + try: + DatasetService.check_dataset_permission(dataset, current_user) + except services.errors.account.NoPermissionError as e: + raise Forbidden(str(e)) + + # Check dataset model setting + DatasetService.check_dataset_model_setting(dataset) + + # Get document IDs from request body + data = request.get_json() + document_ids = data.get("document_ids", []) + + try: + DocumentService.batch_update_document_status(dataset, document_ids, action, current_user) + except services.errors.document.DocumentIndexingError as e: + raise InvalidActionError(str(e)) + except ValueError as e: + raise InvalidActionError(str(e)) + + return {"result": "success"}, 200 + + class DatasetTagsApi(DatasetApiResource): @validate_dataset_token @marshal_with(tag_fields) @@ -450,6 +507,7 @@ class DatasetTagsBindingStatusApi(DatasetApiResource): api.add_resource(DatasetListApi, "/datasets") api.add_resource(DatasetApi, "/datasets/") +api.add_resource(DocumentStatusApi, "/datasets//documents/status/") api.add_resource(DatasetTagsApi, "/datasets/tags") api.add_resource(DatasetTagBindingApi, "/datasets/tags/binding") api.add_resource(DatasetTagUnbindingApi, "/datasets/tags/unbinding") diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py index ab7ab4dcf0..e4779f3bdf 100644 --- a/api/controllers/service_api/dataset/document.py +++ b/api/controllers/service_api/dataset/document.py @@ -19,7 +19,11 @@ from controllers.service_api.dataset.error import ( ArchivedDocumentImmutableError, DocumentIndexingError, ) -from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check +from controllers.service_api.wraps import ( + DatasetApiResource, + cloud_edition_billing_rate_limit_check, + cloud_edition_billing_resource_check, +) from core.errors.error import ProviderTokenNotInitError from extensions.ext_database import db from fields.document_fields import document_fields, document_status_fields @@ -35,6 +39,7 @@ class DocumentAddByTextApi(DatasetApiResource): @cloud_edition_billing_resource_check("vector_space", "dataset") @cloud_edition_billing_resource_check("documents", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id): """Create document by text.""" parser = reqparse.RequestParser() @@ -99,6 +104,7 @@ class DocumentUpdateByTextApi(DatasetApiResource): """Resource for update documents.""" @cloud_edition_billing_resource_check("vector_space", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id, document_id): """Update document by text.""" parser = reqparse.RequestParser() @@ -158,6 +164,7 @@ class DocumentAddByFileApi(DatasetApiResource): @cloud_edition_billing_resource_check("vector_space", "dataset") @cloud_edition_billing_resource_check("documents", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id): """Create document by upload file.""" args = {} @@ -232,6 +239,7 @@ class DocumentUpdateByFileApi(DatasetApiResource): """Resource for update documents.""" @cloud_edition_billing_resource_check("vector_space", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id, document_id): """Update document by upload file.""" args = {} @@ -302,6 +310,7 @@ class DocumentUpdateByFileApi(DatasetApiResource): class DocumentDeleteApi(DatasetApiResource): + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def delete(self, tenant_id, dataset_id, document_id): """Delete document.""" document_id = str(document_id) diff --git a/api/controllers/service_api/dataset/hit_testing.py b/api/controllers/service_api/dataset/hit_testing.py index 465f71bf03..52e9bca5da 100644 --- a/api/controllers/service_api/dataset/hit_testing.py +++ b/api/controllers/service_api/dataset/hit_testing.py @@ -1,9 +1,10 @@ from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase from controllers.service_api import api -from controllers.service_api.wraps import DatasetApiResource +from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_rate_limit_check class HitTestingApi(DatasetApiResource, DatasetsHitTestingBase): + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id): dataset_id_str = str(dataset_id) diff --git a/api/controllers/service_api/dataset/metadata.py b/api/controllers/service_api/dataset/metadata.py index 35582feea0..1968696ee5 100644 --- a/api/controllers/service_api/dataset/metadata.py +++ b/api/controllers/service_api/dataset/metadata.py @@ -3,7 +3,7 @@ from flask_restful import marshal, reqparse from werkzeug.exceptions import NotFound from controllers.service_api import api -from controllers.service_api.wraps import DatasetApiResource +from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_rate_limit_check from fields.dataset_fields import dataset_metadata_fields from services.dataset_service import DatasetService from services.entities.knowledge_entities.knowledge_entities import ( @@ -14,6 +14,7 @@ from services.metadata_service import MetadataService class DatasetMetadataCreateServiceApi(DatasetApiResource): + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id): parser = reqparse.RequestParser() parser.add_argument("type", type=str, required=True, nullable=True, location="json") @@ -39,6 +40,7 @@ class DatasetMetadataCreateServiceApi(DatasetApiResource): class DatasetMetadataServiceApi(DatasetApiResource): + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def patch(self, tenant_id, dataset_id, metadata_id): parser = reqparse.RequestParser() parser.add_argument("name", type=str, required=True, nullable=True, location="json") @@ -54,6 +56,7 @@ class DatasetMetadataServiceApi(DatasetApiResource): metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, args.get("name")) return marshal(metadata, dataset_metadata_fields), 200 + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def delete(self, tenant_id, dataset_id, metadata_id): dataset_id_str = str(dataset_id) metadata_id_str = str(metadata_id) @@ -73,6 +76,7 @@ class DatasetMetadataBuiltInFieldServiceApi(DatasetApiResource): class DatasetMetadataBuiltInFieldActionServiceApi(DatasetApiResource): + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id, action): dataset_id_str = str(dataset_id) dataset = DatasetService.get_dataset(dataset_id_str) @@ -88,6 +92,7 @@ class DatasetMetadataBuiltInFieldActionServiceApi(DatasetApiResource): class DocumentMetadataEditServiceApi(DatasetApiResource): + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id): dataset_id_str = str(dataset_id) dataset = DatasetService.get_dataset(dataset_id_str) diff --git a/api/controllers/service_api/dataset/segment.py b/api/controllers/service_api/dataset/segment.py index 337752275a..403b7f0a0c 100644 --- a/api/controllers/service_api/dataset/segment.py +++ b/api/controllers/service_api/dataset/segment.py @@ -8,6 +8,7 @@ from controllers.service_api.app.error import ProviderNotInitializeError from controllers.service_api.wraps import ( DatasetApiResource, cloud_edition_billing_knowledge_limit_check, + cloud_edition_billing_rate_limit_check, cloud_edition_billing_resource_check, ) from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError @@ -35,6 +36,7 @@ class SegmentApi(DatasetApiResource): @cloud_edition_billing_resource_check("vector_space", "dataset") @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id, document_id): """Create single segment.""" # check dataset @@ -139,6 +141,7 @@ class SegmentApi(DatasetApiResource): class DatasetSegmentApi(DatasetApiResource): + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def delete(self, tenant_id, dataset_id, document_id, segment_id): # check dataset dataset_id = str(dataset_id) @@ -162,6 +165,7 @@ class DatasetSegmentApi(DatasetApiResource): return 204 @cloud_edition_billing_resource_check("vector_space", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id, document_id, segment_id): # check dataset dataset_id = str(dataset_id) @@ -236,6 +240,7 @@ class ChildChunkApi(DatasetApiResource): @cloud_edition_billing_resource_check("vector_space", "dataset") @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def post(self, tenant_id, dataset_id, document_id, segment_id): """Create child chunk.""" # check dataset @@ -332,6 +337,7 @@ class DatasetChildChunkApi(DatasetApiResource): """Resource for updating child chunks.""" @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def delete(self, tenant_id, dataset_id, document_id, segment_id, child_chunk_id): """Delete child chunk.""" # check dataset @@ -370,6 +376,7 @@ class DatasetChildChunkApi(DatasetApiResource): @cloud_edition_billing_resource_check("vector_space", "dataset") @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset") + @cloud_edition_billing_rate_limit_check("knowledge", "dataset") def patch(self, tenant_id, dataset_id, document_id, segment_id, child_chunk_id): """Update child chunk.""" # check dataset diff --git a/api/controllers/web/error.py b/api/controllers/web/error.py index 4371e679db..036e11d5c5 100644 --- a/api/controllers/web/error.py +++ b/api/controllers/web/error.py @@ -139,3 +139,13 @@ class InvokeRateLimitError(BaseHTTPException): error_code = "rate_limit_error" description = "Rate Limit Error" code = 429 + + +class NotFoundError(BaseHTTPException): + error_code = "not_found" + code = 404 + + +class InvalidArgumentError(BaseHTTPException): + error_code = "invalid_param" + code = 400 diff --git a/api/controllers/web/passport.py b/api/controllers/web/passport.py index 9d229185f3..10c3cdcf0e 100644 --- a/api/controllers/web/passport.py +++ b/api/controllers/web/passport.py @@ -163,7 +163,7 @@ def exchange_token_for_existing_web_user(app_code: str, enterprise_user_decoded: ) db.session.add(end_user) db.session.commit() - exp_dt = datetime.now(UTC) + timedelta(hours=dify_config.ACCESS_TOKEN_EXPIRE_MINUTES * 24) + exp_dt = datetime.now(UTC) + timedelta(minutes=dify_config.ACCESS_TOKEN_EXPIRE_MINUTES) exp = int(exp_dt.timestamp()) payload = { "iss": site.id, diff --git a/api/core/app/app_config/easy_ui_based_app/dataset/manager.py b/api/core/app/app_config/easy_ui_based_app/dataset/manager.py index 20189053f4..a5492d70bd 100644 --- a/api/core/app/app_config/easy_ui_based_app/dataset/manager.py +++ b/api/core/app/app_config/easy_ui_based_app/dataset/manager.py @@ -138,15 +138,12 @@ class DatasetConfigManager: if not config.get("dataset_configs"): config["dataset_configs"] = {"retrieval_model": "single"} + if not isinstance(config["dataset_configs"], dict): + raise ValueError("dataset_configs must be of object type") + if not config["dataset_configs"].get("datasets"): config["dataset_configs"]["datasets"] = {"strategy": "router", "datasets": []} - if not isinstance(config["dataset_configs"], dict): - raise ValueError("dataset_configs must be of object type") - - if not isinstance(config["dataset_configs"], dict): - raise ValueError("dataset_configs must be of object type") - need_manual_query_datasets = config.get("dataset_configs") and config["dataset_configs"].get( "datasets", {} ).get("datasets") diff --git a/api/core/app/app_config/entities.py b/api/core/app/app_config/entities.py index 3f31b1c3d5..75bd2f677a 100644 --- a/api/core/app/app_config/entities.py +++ b/api/core/app/app_config/entities.py @@ -104,6 +104,7 @@ class VariableEntity(BaseModel): Variable Entity. """ + # `variable` records the name of the variable in user inputs. variable: str label: str description: str = "" diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index 8c85f91d7e..afecd99978 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -5,7 +5,7 @@ import uuid from collections.abc import Generator, Mapping from typing import Any, Literal, Optional, Union, overload -from flask import Flask, copy_current_request_context, current_app, has_request_context +from flask import Flask, current_app from pydantic import ValidationError from sqlalchemy.orm import sessionmaker @@ -29,12 +29,15 @@ from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository +from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader from extensions.ext_database import db from factories import file_factory +from libs.flask_utils import preserve_flask_contexts from models import Account, App, Conversation, EndUser, Message, Workflow, WorkflowNodeExecutionTriggeredFrom from models.enums import WorkflowRunTriggeredFrom from services.conversation_service import ConversationService from services.errors.message import MessageNotExistsError +from services.workflow_draft_variable_service import DraftVarLoader, WorkflowDraftVariableService logger = logging.getLogger(__name__) @@ -115,6 +118,11 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): ) # parse files + # TODO(QuantumGhost): Move file parsing logic to the API controller layer + # for better separation of concerns. + # + # For implementation reference, see the `_parse_file` function and + # `DraftWorkflowNodeRunApi` class which handle this properly. files = args["files"] if args.get("files") else [] file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False) if file_extra_config: @@ -260,6 +268,13 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): app_id=application_generate_entity.app_config.app_id, triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP, ) + var_loader = DraftVarLoader( + engine=db.engine, + app_id=application_generate_entity.app_config.app_id, + tenant_id=application_generate_entity.app_config.tenant_id, + ) + draft_var_srv = WorkflowDraftVariableService(db.session()) + draft_var_srv.prefill_conversation_variable_default_values(workflow) return self._generate( workflow=workflow, @@ -270,6 +285,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): workflow_node_execution_repository=workflow_node_execution_repository, conversation=None, stream=streaming, + variable_loader=var_loader, ) def single_loop_generate( @@ -335,6 +351,13 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): app_id=application_generate_entity.app_config.app_id, triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP, ) + var_loader = DraftVarLoader( + engine=db.engine, + app_id=application_generate_entity.app_config.app_id, + tenant_id=application_generate_entity.app_config.tenant_id, + ) + draft_var_srv = WorkflowDraftVariableService(db.session()) + draft_var_srv.prefill_conversation_variable_default_values(workflow) return self._generate( workflow=workflow, @@ -345,6 +368,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): workflow_node_execution_repository=workflow_node_execution_repository, conversation=None, stream=streaming, + variable_loader=var_loader, ) def _generate( @@ -358,6 +382,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): workflow_node_execution_repository: WorkflowNodeExecutionRepository, conversation: Optional[Conversation] = None, stream: bool = True, + variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER, ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]: """ Generate App response. @@ -366,6 +391,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): :param user: account or end user :param invoke_from: invoke from source :param application_generate_entity: application generate entity + :param workflow_execution_repository: repository for workflow execution :param workflow_node_execution_repository: repository for workflow node execution :param conversation: conversation :param stream: is stream @@ -399,20 +425,18 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): # new thread with request context and contextvars context = contextvars.copy_context() - @copy_current_request_context - def worker_with_context(): - # Run the worker within the copied context - return context.run( - self._generate_worker, - flask_app=current_app._get_current_object(), # type: ignore - application_generate_entity=application_generate_entity, - queue_manager=queue_manager, - conversation_id=conversation.id, - message_id=message.id, - context=context, - ) - - worker_thread = threading.Thread(target=worker_with_context) + worker_thread = threading.Thread( + target=self._generate_worker, + kwargs={ + "flask_app": current_app._get_current_object(), # type: ignore + "application_generate_entity": application_generate_entity, + "queue_manager": queue_manager, + "conversation_id": conversation.id, + "message_id": message.id, + "context": context, + "variable_loader": variable_loader, + }, + ) worker_thread.start() @@ -439,6 +463,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): conversation_id: str, message_id: str, context: contextvars.Context, + variable_loader: VariableLoader, ) -> None: """ Generate worker in a new thread. @@ -449,24 +474,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): :param message_id: message ID :return: """ - for var, val in context.items(): - var.set(val) - # FIXME(-LAN-): Save current user before entering new app context - from flask import g - - saved_user = None - if has_request_context() and hasattr(g, "_login_user"): - saved_user = g._login_user - - with flask_app.app_context(): + with preserve_flask_contexts(flask_app, context_vars=context): try: - # Restore user in new app context - if saved_user is not None: - from flask import g - - g._login_user = saved_user - # get conversation and message conversation = self._get_conversation(conversation_id) message = self._get_message(message_id) @@ -480,6 +490,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): conversation=conversation, message=message, dialogue_count=self._dialogue_count, + variable_loader=variable_loader, ) runner.run() diff --git a/api/core/app/apps/advanced_chat/app_runner.py b/api/core/app/apps/advanced_chat/app_runner.py index d9b3833862..840a3c9d3b 100644 --- a/api/core/app/apps/advanced_chat/app_runner.py +++ b/api/core/app/apps/advanced_chat/app_runner.py @@ -19,6 +19,7 @@ from core.moderation.base import ModerationError from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback from core.workflow.entities.variable_pool import VariablePool from core.workflow.enums import SystemVariableKey +from core.workflow.variable_loader import VariableLoader from core.workflow.workflow_entry import WorkflowEntry from extensions.ext_database import db from models.enums import UserFrom @@ -40,14 +41,17 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner): conversation: Conversation, message: Message, dialogue_count: int, + variable_loader: VariableLoader, ) -> None: - super().__init__(queue_manager) - + super().__init__(queue_manager, variable_loader) self.application_generate_entity = application_generate_entity self.conversation = conversation self.message = message self._dialogue_count = dialogue_count + def _get_app_id(self) -> str: + return self.application_generate_entity.app_config.app_id + def run(self) -> None: app_config = self.application_generate_entity.app_config app_config = cast(AdvancedChatAppConfig, app_config) diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index 158196f24d..75a0b00424 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -5,7 +5,7 @@ import uuid from collections.abc import Generator, Mapping from typing import Any, Literal, Union, overload -from flask import Flask, copy_current_request_context, current_app, has_request_context +from flask import Flask, current_app from pydantic import ValidationError from configs import dify_config @@ -23,6 +23,7 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError from core.ops.ops_trace_manager import TraceQueueManager from extensions.ext_database import db from factories import file_factory +from libs.flask_utils import preserve_flask_contexts from models import Account, App, EndUser from services.conversation_service import ConversationService from services.errors.message import MessageNotExistsError @@ -123,6 +124,11 @@ class AgentChatAppGenerator(MessageBasedAppGenerator): override_model_config_dict["retriever_resource"] = {"enabled": True} # parse files + # TODO(QuantumGhost): Move file parsing logic to the API controller layer + # for better separation of concerns. + # + # For implementation reference, see the `_parse_file` function and + # `DraftWorkflowNodeRunApi` class which handle this properly. files = args.get("files") or [] file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict()) if file_extra_config: @@ -182,20 +188,17 @@ class AgentChatAppGenerator(MessageBasedAppGenerator): # new thread with request context and contextvars context = contextvars.copy_context() - @copy_current_request_context - def worker_with_context(): - # Run the worker within the copied context - return context.run( - self._generate_worker, - flask_app=current_app._get_current_object(), # type: ignore - context=context, - application_generate_entity=application_generate_entity, - queue_manager=queue_manager, - conversation_id=conversation.id, - message_id=message.id, - ) - - worker_thread = threading.Thread(target=worker_with_context) + worker_thread = threading.Thread( + target=self._generate_worker, + kwargs={ + "flask_app": current_app._get_current_object(), # type: ignore + "context": context, + "application_generate_entity": application_generate_entity, + "queue_manager": queue_manager, + "conversation_id": conversation.id, + "message_id": message.id, + }, + ) worker_thread.start() @@ -229,24 +232,9 @@ class AgentChatAppGenerator(MessageBasedAppGenerator): :param message_id: message ID :return: """ - for var, val in context.items(): - var.set(val) - # FIXME(-LAN-): Save current user before entering new app context - from flask import g - - saved_user = None - if has_request_context() and hasattr(g, "_login_user"): - saved_user = g._login_user - - with flask_app.app_context(): + with preserve_flask_contexts(flask_app, context_vars=context): try: - # Restore user in new app context - if saved_user is not None: - from flask import g - - g._login_user = saved_user - # get conversation and message conversation = self._get_conversation(conversation_id) message = self._get_message(message_id) diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index a1329cb938..76fae879f2 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -115,6 +115,11 @@ class ChatAppGenerator(MessageBasedAppGenerator): override_model_config_dict["retriever_resource"] = {"enabled": True} # parse files + # TODO(QuantumGhost): Move file parsing logic to the API controller layer + # for better separation of concerns. + # + # For implementation reference, see the `_parse_file` function and + # `DraftWorkflowNodeRunApi` class which handle this properly. files = args["files"] if args.get("files") else [] file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict()) if file_extra_config: diff --git a/api/core/app/apps/common/workflow_response_converter.py b/api/core/app/apps/common/workflow_response_converter.py index 6f524a5872..cd1d298ca2 100644 --- a/api/core/app/apps/common/workflow_response_converter.py +++ b/api/core/app/apps/common/workflow_response_converter.py @@ -48,6 +48,7 @@ from core.workflow.entities.workflow_execution import WorkflowExecution from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus from core.workflow.nodes import NodeType from core.workflow.nodes.tool.entities import ToolNodeData +from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter from models import ( Account, CreatorUserRole, @@ -125,7 +126,7 @@ class WorkflowResponseConverter: id=workflow_execution.id_, workflow_id=workflow_execution.workflow_id, status=workflow_execution.status, - outputs=workflow_execution.outputs, + outputs=WorkflowRuntimeTypeConverter().to_json_encodable(workflow_execution.outputs), error=workflow_execution.error_message, elapsed_time=workflow_execution.elapsed_time, total_tokens=workflow_execution.total_tokens, @@ -202,6 +203,8 @@ class WorkflowResponseConverter: if not workflow_node_execution.finished_at: return None + json_converter = WorkflowRuntimeTypeConverter() + return NodeFinishStreamResponse( task_id=task_id, workflow_run_id=workflow_node_execution.workflow_execution_id, @@ -214,7 +217,7 @@ class WorkflowResponseConverter: predecessor_node_id=workflow_node_execution.predecessor_node_id, inputs=workflow_node_execution.inputs, process_data=workflow_node_execution.process_data, - outputs=workflow_node_execution.outputs, + outputs=json_converter.to_json_encodable(workflow_node_execution.outputs), status=workflow_node_execution.status, error=workflow_node_execution.error, elapsed_time=workflow_node_execution.elapsed_time, @@ -245,6 +248,8 @@ class WorkflowResponseConverter: if not workflow_node_execution.finished_at: return None + json_converter = WorkflowRuntimeTypeConverter() + return NodeRetryStreamResponse( task_id=task_id, workflow_run_id=workflow_node_execution.workflow_execution_id, @@ -257,7 +262,7 @@ class WorkflowResponseConverter: predecessor_node_id=workflow_node_execution.predecessor_node_id, inputs=workflow_node_execution.inputs, process_data=workflow_node_execution.process_data, - outputs=workflow_node_execution.outputs, + outputs=json_converter.to_json_encodable(workflow_node_execution.outputs), status=workflow_node_execution.status, error=workflow_node_execution.error, elapsed_time=workflow_node_execution.elapsed_time, @@ -376,6 +381,7 @@ class WorkflowResponseConverter: workflow_execution_id: str, event: QueueIterationCompletedEvent, ) -> IterationNodeCompletedStreamResponse: + json_converter = WorkflowRuntimeTypeConverter() return IterationNodeCompletedStreamResponse( task_id=task_id, workflow_run_id=workflow_execution_id, @@ -384,7 +390,7 @@ class WorkflowResponseConverter: node_id=event.node_id, node_type=event.node_type.value, title=event.node_data.title, - outputs=event.outputs, + outputs=json_converter.to_json_encodable(event.outputs), created_at=int(time.time()), extras={}, inputs=event.inputs or {}, @@ -463,7 +469,7 @@ class WorkflowResponseConverter: node_id=event.node_id, node_type=event.node_type.value, title=event.node_data.title, - outputs=event.outputs, + outputs=WorkflowRuntimeTypeConverter().to_json_encodable(event.outputs), created_at=int(time.time()), extras={}, inputs=event.inputs or {}, diff --git a/api/core/app/apps/completion/app_generator.py b/api/core/app/apps/completion/app_generator.py index adcbaad3ec..7bc4a0a5c0 100644 --- a/api/core/app/apps/completion/app_generator.py +++ b/api/core/app/apps/completion/app_generator.py @@ -101,6 +101,11 @@ class CompletionAppGenerator(MessageBasedAppGenerator): ) # parse files + # TODO(QuantumGhost): Move file parsing logic to the API controller layer + # for better separation of concerns. + # + # For implementation reference, see the `_parse_file` function and + # `DraftWorkflowNodeRunApi` class which handle this properly. files = args["files"] if args.get("files") else [] file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict()) if file_extra_config: diff --git a/api/core/app/apps/workflow/app_generator.py b/api/core/app/apps/workflow/app_generator.py index f4aec3479b..369fa0e48c 100644 --- a/api/core/app/apps/workflow/app_generator.py +++ b/api/core/app/apps/workflow/app_generator.py @@ -5,7 +5,7 @@ import uuid from collections.abc import Generator, Mapping, Sequence from typing import Any, Literal, Optional, Union, overload -from flask import Flask, copy_current_request_context, current_app, has_request_context +from flask import Flask, current_app from pydantic import ValidationError from sqlalchemy.orm import sessionmaker @@ -27,10 +27,13 @@ from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository +from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader from extensions.ext_database import db from factories import file_factory +from libs.flask_utils import preserve_flask_contexts from models import Account, App, EndUser, Workflow, WorkflowNodeExecutionTriggeredFrom from models.enums import WorkflowRunTriggeredFrom +from services.workflow_draft_variable_service import DraftVarLoader, WorkflowDraftVariableService logger = logging.getLogger(__name__) @@ -93,6 +96,11 @@ class WorkflowAppGenerator(BaseAppGenerator): files: Sequence[Mapping[str, Any]] = args.get("files") or [] # parse files + # TODO(QuantumGhost): Move file parsing logic to the API controller layer + # for better separation of concerns. + # + # For implementation reference, see the `_parse_file` function and + # `DraftWorkflowNodeRunApi` class which handle this properly. file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False) system_files = file_factory.build_from_mappings( mappings=files, @@ -185,6 +193,7 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow_node_execution_repository: WorkflowNodeExecutionRepository, streaming: bool = True, workflow_thread_pool_id: Optional[str] = None, + variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER, ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]: """ Generate App response. @@ -194,6 +203,7 @@ class WorkflowAppGenerator(BaseAppGenerator): :param user: account or end user :param application_generate_entity: application generate entity :param invoke_from: invoke from source + :param workflow_execution_repository: repository for workflow execution :param workflow_node_execution_repository: repository for workflow node execution :param streaming: is stream :param workflow_thread_pool_id: workflow thread pool id @@ -209,19 +219,17 @@ class WorkflowAppGenerator(BaseAppGenerator): # new thread with request context and contextvars context = contextvars.copy_context() - @copy_current_request_context - def worker_with_context(): - # Run the worker within the copied context - return context.run( - self._generate_worker, - flask_app=current_app._get_current_object(), # type: ignore - application_generate_entity=application_generate_entity, - queue_manager=queue_manager, - context=context, - workflow_thread_pool_id=workflow_thread_pool_id, - ) - - worker_thread = threading.Thread(target=worker_with_context) + worker_thread = threading.Thread( + target=self._generate_worker, + kwargs={ + "flask_app": current_app._get_current_object(), # type: ignore + "application_generate_entity": application_generate_entity, + "queue_manager": queue_manager, + "context": context, + "workflow_thread_pool_id": workflow_thread_pool_id, + "variable_loader": variable_loader, + }, + ) worker_thread.start() @@ -304,6 +312,13 @@ class WorkflowAppGenerator(BaseAppGenerator): app_id=application_generate_entity.app_config.app_id, triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP, ) + draft_var_srv = WorkflowDraftVariableService(db.session()) + draft_var_srv.prefill_conversation_variable_default_values(workflow) + var_loader = DraftVarLoader( + engine=db.engine, + app_id=application_generate_entity.app_config.app_id, + tenant_id=application_generate_entity.app_config.tenant_id, + ) return self._generate( app_model=app_model, @@ -314,6 +329,7 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, + variable_loader=var_loader, ) def single_loop_generate( @@ -380,7 +396,13 @@ class WorkflowAppGenerator(BaseAppGenerator): app_id=application_generate_entity.app_config.app_id, triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP, ) - + draft_var_srv = WorkflowDraftVariableService(db.session()) + draft_var_srv.prefill_conversation_variable_default_values(workflow) + var_loader = DraftVarLoader( + engine=db.engine, + app_id=application_generate_entity.app_config.app_id, + tenant_id=application_generate_entity.app_config.tenant_id, + ) return self._generate( app_model=app_model, workflow=workflow, @@ -390,6 +412,7 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, + variable_loader=var_loader, ) def _generate_worker( @@ -398,6 +421,7 @@ class WorkflowAppGenerator(BaseAppGenerator): application_generate_entity: WorkflowAppGenerateEntity, queue_manager: AppQueueManager, context: contextvars.Context, + variable_loader: VariableLoader, workflow_thread_pool_id: Optional[str] = None, ) -> None: """ @@ -408,29 +432,15 @@ class WorkflowAppGenerator(BaseAppGenerator): :param workflow_thread_pool_id: workflow thread pool id :return: """ - for var, val in context.items(): - var.set(val) - # FIXME(-LAN-): Save current user before entering new app context - from flask import g - - saved_user = None - if has_request_context() and hasattr(g, "_login_user"): - saved_user = g._login_user - - with flask_app.app_context(): + with preserve_flask_contexts(flask_app, context_vars=context): try: - # Restore user in new app context - if saved_user is not None: - from flask import g - - g._login_user = saved_user - # workflow app runner = WorkflowAppRunner( application_generate_entity=application_generate_entity, queue_manager=queue_manager, workflow_thread_pool_id=workflow_thread_pool_id, + variable_loader=variable_loader, ) runner.run() diff --git a/api/core/app/apps/workflow/app_runner.py b/api/core/app/apps/workflow/app_runner.py index b59e34e222..07aeb57fa3 100644 --- a/api/core/app/apps/workflow/app_runner.py +++ b/api/core/app/apps/workflow/app_runner.py @@ -12,6 +12,7 @@ from core.app.entities.app_invoke_entities import ( from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback from core.workflow.entities.variable_pool import VariablePool from core.workflow.enums import SystemVariableKey +from core.workflow.variable_loader import VariableLoader from core.workflow.workflow_entry import WorkflowEntry from extensions.ext_database import db from models.enums import UserFrom @@ -30,6 +31,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner): self, application_generate_entity: WorkflowAppGenerateEntity, queue_manager: AppQueueManager, + variable_loader: VariableLoader, workflow_thread_pool_id: Optional[str] = None, ) -> None: """ @@ -37,10 +39,13 @@ class WorkflowAppRunner(WorkflowBasedAppRunner): :param queue_manager: application queue manager :param workflow_thread_pool_id: workflow thread pool id """ + super().__init__(queue_manager, variable_loader) self.application_generate_entity = application_generate_entity - self.queue_manager = queue_manager self.workflow_thread_pool_id = workflow_thread_pool_id + def _get_app_id(self) -> str: + return self.application_generate_entity.app_config.app_id + def run(self) -> None: """ Run application diff --git a/api/core/app/apps/workflow_app_runner.py b/api/core/app/apps/workflow_app_runner.py index facc24b4ca..dc6c381e86 100644 --- a/api/core/app/apps/workflow_app_runner.py +++ b/api/core/app/apps/workflow_app_runner.py @@ -1,6 +1,8 @@ from collections.abc import Mapping from typing import Any, Optional, cast +from sqlalchemy.orm import Session + from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom from core.app.apps.base_app_runner import AppRunner from core.app.entities.queue_entities import ( @@ -33,6 +35,7 @@ from core.workflow.entities.variable_pool import VariablePool from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey from core.workflow.graph_engine.entities.event import ( AgentLogEvent, + BaseNodeEvent, GraphEngineEvent, GraphRunFailedEvent, GraphRunPartialSucceededEvent, @@ -62,15 +65,23 @@ from core.workflow.graph_engine.entities.event import ( from core.workflow.graph_engine.entities.graph import Graph from core.workflow.nodes import NodeType from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING +from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader, load_into_variable_pool from core.workflow.workflow_entry import WorkflowEntry from extensions.ext_database import db from models.model import App from models.workflow import Workflow +from services.workflow_draft_variable_service import ( + DraftVariableSaver, +) class WorkflowBasedAppRunner(AppRunner): - def __init__(self, queue_manager: AppQueueManager): + def __init__(self, queue_manager: AppQueueManager, variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER) -> None: self.queue_manager = queue_manager + self._variable_loader = variable_loader + + def _get_app_id(self) -> str: + raise NotImplementedError("not implemented") def _init_graph(self, graph_config: Mapping[str, Any]) -> Graph: """ @@ -173,6 +184,13 @@ class WorkflowBasedAppRunner(AppRunner): except NotImplementedError: variable_mapping = {} + load_into_variable_pool( + variable_loader=self._variable_loader, + variable_pool=variable_pool, + variable_mapping=variable_mapping, + user_inputs=user_inputs, + ) + WorkflowEntry.mapping_user_inputs_to_variable_pool( variable_mapping=variable_mapping, user_inputs=user_inputs, @@ -262,6 +280,12 @@ class WorkflowBasedAppRunner(AppRunner): ) except NotImplementedError: variable_mapping = {} + load_into_variable_pool( + self._variable_loader, + variable_pool=variable_pool, + variable_mapping=variable_mapping, + user_inputs=user_inputs, + ) WorkflowEntry.mapping_user_inputs_to_variable_pool( variable_mapping=variable_mapping, @@ -376,6 +400,8 @@ class WorkflowBasedAppRunner(AppRunner): in_loop_id=event.in_loop_id, ) ) + self._save_draft_var_for_event(event) + elif isinstance(event, NodeRunFailedEvent): self._publish_event( QueueNodeFailedEvent( @@ -438,6 +464,8 @@ class WorkflowBasedAppRunner(AppRunner): in_loop_id=event.in_loop_id, ) ) + self._save_draft_var_for_event(event) + elif isinstance(event, NodeInIterationFailedEvent): self._publish_event( QueueNodeInIterationFailedEvent( @@ -690,3 +718,30 @@ class WorkflowBasedAppRunner(AppRunner): def _publish_event(self, event: AppQueueEvent) -> None: self.queue_manager.publish(event, PublishFrom.APPLICATION_MANAGER) + + def _save_draft_var_for_event(self, event: BaseNodeEvent): + run_result = event.route_node_state.node_run_result + if run_result is None: + return + process_data = run_result.process_data + outputs = run_result.outputs + with Session(bind=db.engine) as session, session.begin(): + draft_var_saver = DraftVariableSaver( + session=session, + app_id=self._get_app_id(), + node_id=event.node_id, + node_type=event.node_type, + # FIXME(QuantumGhost): rely on private state of queue_manager is not ideal. + invoke_from=self.queue_manager._invoke_from, + node_execution_id=event.id, + enclosing_node_id=event.in_loop_id or event.in_iteration_id or None, + ) + draft_var_saver.save(process_data=process_data, outputs=outputs) + + +def _remove_first_element_from_variable_string(key: str) -> str: + """ + Remove the first element from the prefix. + """ + prefix, remaining = key.split(".", maxsplit=1) + return remaining diff --git a/api/core/app/entities/app_invoke_entities.py b/api/core/app/entities/app_invoke_entities.py index c0d99693b0..65ed267959 100644 --- a/api/core/app/entities/app_invoke_entities.py +++ b/api/core/app/entities/app_invoke_entities.py @@ -17,9 +17,24 @@ class InvokeFrom(Enum): Invoke From. """ + # SERVICE_API indicates that this invocation is from an API call to Dify app. + # + # Description of service api in Dify docs: + # https://docs.dify.ai/en/guides/application-publishing/developing-with-apis SERVICE_API = "service-api" + + # WEB_APP indicates that this invocation is from + # the web app of the workflow (or chatflow). + # + # Description of web app in Dify docs: + # https://docs.dify.ai/en/guides/application-publishing/launch-your-webapp-quickly/README WEB_APP = "web-app" + + # EXPLORE indicates that this invocation is from + # the workflow (or chatflow) explore page. EXPLORE = "explore" + # DEBUGGER indicates that this invocation is from + # the workflow (or chatflow) edit page. DEBUGGER = "debugger" @classmethod diff --git a/api/core/file/constants.py b/api/core/file/constants.py index ce1d238e93..0665ed7e0d 100644 --- a/api/core/file/constants.py +++ b/api/core/file/constants.py @@ -1 +1,11 @@ +from typing import Any + +# TODO(QuantumGhost): Refactor variable type identification. Instead of directly +# comparing `dify_model_identity` with constants throughout the codebase, extract +# this logic into a dedicated function. This would encapsulate the implementation +# details of how different variable types are identified. FILE_MODEL_IDENTITY = "__dify__file__" + + +def maybe_file_object(o: Any) -> bool: + return isinstance(o, dict) and o.get("dify_model_identity") == FILE_MODEL_IDENTITY diff --git a/api/core/model_manager.py b/api/core/model_manager.py index 995a30d44c..4886ffe244 100644 --- a/api/core/model_manager.py +++ b/api/core/model_manager.py @@ -542,8 +542,6 @@ class LBModelManager: return config - return None - def cooldown(self, config: ModelLoadBalancingConfiguration, expire: int = 60) -> None: """ Cooldown model load balancing config diff --git a/api/core/ops/ops_trace_manager.py b/api/core/ops/ops_trace_manager.py index e0dfe0c312..a98904102c 100644 --- a/api/core/ops/ops_trace_manager.py +++ b/api/core/ops/ops_trace_manager.py @@ -251,7 +251,7 @@ class OpsTraceManager: provider_config_map[tracing_provider]["trace_instance"], provider_config_map[tracing_provider]["config_class"], ) - decrypt_trace_config_key = str(decrypt_trace_config) + decrypt_trace_config_key = json.dumps(decrypt_trace_config, sort_keys=True) tracing_instance = cls.ops_trace_instances_cache.get(decrypt_trace_config_key) if tracing_instance is None: # create new tracing_instance and update the cache if it absent diff --git a/api/core/plugin/entities/plugin_daemon.py b/api/core/plugin/entities/plugin_daemon.py index e9275c31cc..e0d2857e97 100644 --- a/api/core/plugin/entities/plugin_daemon.py +++ b/api/core/plugin/entities/plugin_daemon.py @@ -156,9 +156,23 @@ class PluginInstallTaskStartResponse(BaseModel): task_id: str = Field(description="The ID of the install task.") -class PluginUploadResponse(BaseModel): +class PluginVerification(BaseModel): + """ + Verification of the plugin. + """ + + class AuthorizedCategory(StrEnum): + Langgenius = "langgenius" + Partner = "partner" + Community = "community" + + authorized_category: AuthorizedCategory = Field(description="The authorized category of the plugin.") + + +class PluginDecodeResponse(BaseModel): unique_identifier: str = Field(description="The unique identifier of the plugin.") manifest: PluginDeclaration + verification: Optional[PluginVerification] = Field(default=None, description="Basic verification information") class PluginOAuthAuthorizationUrlResponse(BaseModel): diff --git a/api/core/plugin/impl/plugin.py b/api/core/plugin/impl/plugin.py index 1cd2dc1be7..b7f7b31655 100644 --- a/api/core/plugin/impl/plugin.py +++ b/api/core/plugin/impl/plugin.py @@ -10,10 +10,10 @@ from core.plugin.entities.plugin import ( PluginInstallationSource, ) from core.plugin.entities.plugin_daemon import ( + PluginDecodeResponse, PluginInstallTask, PluginInstallTaskStartResponse, PluginListResponse, - PluginUploadResponse, ) from core.plugin.impl.base import BasePluginClient @@ -53,7 +53,7 @@ class PluginInstaller(BasePluginClient): tenant_id: str, pkg: bytes, verify_signature: bool = False, - ) -> PluginUploadResponse: + ) -> PluginDecodeResponse: """ Upload a plugin package and return the plugin unique identifier. """ @@ -68,7 +68,7 @@ class PluginInstaller(BasePluginClient): return self._request_with_plugin_daemon_response( "POST", f"plugin/{tenant_id}/management/install/upload/package", - PluginUploadResponse, + PluginDecodeResponse, files=body, data=data, ) @@ -176,6 +176,18 @@ class PluginInstaller(BasePluginClient): params={"plugin_unique_identifier": plugin_unique_identifier}, ) + def decode_plugin_from_identifier(self, tenant_id: str, plugin_unique_identifier: str) -> PluginDecodeResponse: + """ + Decode a plugin from an identifier. + """ + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/decode/from_identifier", + PluginDecodeResponse, + data={"plugin_unique_identifier": plugin_unique_identifier}, + headers={"Content-Type": "application/json"}, + ) + def fetch_plugin_installation_by_ids( self, tenant_id: str, plugin_ids: Sequence[str] ) -> Sequence[PluginInstallation]: diff --git a/api/core/rag/datasource/vdb/matrixone/__init__.py b/api/core/rag/datasource/vdb/matrixone/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/rag/datasource/vdb/matrixone/matrixone_vector.py b/api/core/rag/datasource/vdb/matrixone/matrixone_vector.py new file mode 100644 index 0000000000..4894957382 --- /dev/null +++ b/api/core/rag/datasource/vdb/matrixone/matrixone_vector.py @@ -0,0 +1,233 @@ +import json +import logging +import uuid +from functools import wraps +from typing import Any, Optional + +from mo_vector.client import MoVectorClient # type: ignore +from pydantic import BaseModel, model_validator + +from configs import dify_config +from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType +from core.rag.embedding.embedding_base import Embeddings +from core.rag.models.document import Document +from extensions.ext_redis import redis_client +from models.dataset import Dataset + +logger = logging.getLogger(__name__) + + +class MatrixoneConfig(BaseModel): + host: str = "localhost" + port: int = 6001 + user: str = "dump" + password: str = "111" + database: str = "dify" + metric: str = "l2" + + @model_validator(mode="before") + @classmethod + def validate_config(cls, values: dict) -> dict: + if not values["host"]: + raise ValueError("config host is required") + if not values["port"]: + raise ValueError("config port is required") + if not values["user"]: + raise ValueError("config user is required") + if not values["password"]: + raise ValueError("config password is required") + if not values["database"]: + raise ValueError("config database is required") + return values + + +def ensure_client(func): + @wraps(func) + def wrapper(self, *args, **kwargs): + if self.client is None: + self.client = self._get_client(None, False) + return func(self, *args, **kwargs) + + return wrapper + + +class MatrixoneVector(BaseVector): + """ + Matrixone vector storage implementation. + """ + + def __init__(self, collection_name: str, config: MatrixoneConfig): + super().__init__(collection_name) + self.config = config + self.collection_name = collection_name.lower() + self.client = None + + @property + def collection_name(self): + return self._collection_name + + @collection_name.setter + def collection_name(self, value): + self._collection_name = value + + def get_type(self) -> str: + return VectorType.MATRIXONE + + def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): + if self.client is None: + self.client = self._get_client(len(embeddings[0]), True) + return self.add_texts(texts, embeddings) + + def _get_client(self, dimension: Optional[int] = None, create_table: bool = False) -> MoVectorClient: + """ + Create a new client for the collection. + + The collection will be created if it doesn't exist. + """ + lock_name = f"vector_indexing_lock_{self._collection_name}" + with redis_client.lock(lock_name, timeout=20): + client = MoVectorClient( + connection_string=f"mysql+pymysql://{self.config.user}:{self.config.password}@{self.config.host}:{self.config.port}/{self.config.database}", + table_name=self.collection_name, + vector_dimension=dimension, + create_table=create_table, + ) + collection_exist_cache_key = f"vector_indexing_{self._collection_name}" + if redis_client.get(collection_exist_cache_key): + return client + try: + client.create_full_text_index() + except Exception as e: + logger.exception("Failed to create full text index") + redis_client.set(collection_exist_cache_key, 1, ex=3600) + return client + + def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): + if self.client is None: + self.client = self._get_client(len(embeddings[0]), True) + assert self.client is not None + ids = [] + for _, doc in enumerate(documents): + if doc.metadata is not None: + doc_id = doc.metadata.get("doc_id", str(uuid.uuid4())) + ids.append(doc_id) + self.client.insert( + texts=[doc.page_content for doc in documents], + embeddings=embeddings, + metadatas=[doc.metadata for doc in documents], + ids=ids, + ) + return ids + + @ensure_client + def text_exists(self, id: str) -> bool: + assert self.client is not None + result = self.client.get(ids=[id]) + return len(result) > 0 + + @ensure_client + def delete_by_ids(self, ids: list[str]) -> None: + assert self.client is not None + if not ids: + return + self.client.delete(ids=ids) + + @ensure_client + def get_ids_by_metadata_field(self, key: str, value: str): + assert self.client is not None + results = self.client.query_by_metadata(filter={key: value}) + return [result.id for result in results] + + @ensure_client + def delete_by_metadata_field(self, key: str, value: str) -> None: + assert self.client is not None + self.client.delete(filter={key: value}) + + @ensure_client + def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: + assert self.client is not None + top_k = kwargs.get("top_k", 5) + document_ids_filter = kwargs.get("document_ids_filter") + filter = None + if document_ids_filter: + filter = {"document_id": {"$in": document_ids_filter}} + + results = self.client.query( + query_vector=query_vector, + k=top_k, + filter=filter, + ) + + docs = [] + # TODO: add the score threshold to the query + for result in results: + metadata = result.metadata + docs.append( + Document( + page_content=result.document, + metadata=metadata, + ) + ) + return docs + + @ensure_client + def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: + assert self.client is not None + top_k = kwargs.get("top_k", 5) + document_ids_filter = kwargs.get("document_ids_filter") + filter = None + if document_ids_filter: + filter = {"document_id": {"$in": document_ids_filter}} + score_threshold = float(kwargs.get("score_threshold", 0.0)) + + results = self.client.full_text_query( + keywords=[query], + k=top_k, + filter=filter, + ) + + docs = [] + for result in results: + metadata = result.metadata + if isinstance(metadata, str): + import json + + metadata = json.loads(metadata) + score = 1 - result.distance + if score >= score_threshold: + metadata["score"] = score + docs.append( + Document( + page_content=result.document, + metadata=metadata, + ) + ) + return docs + + @ensure_client + def delete(self) -> None: + assert self.client is not None + self.client.delete() + + +class MatrixoneVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> MatrixoneVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"] + collection_name = class_prefix + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id) + dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.MATRIXONE, collection_name)) + + config = MatrixoneConfig( + host=dify_config.MATRIXONE_HOST or "localhost", + port=dify_config.MATRIXONE_PORT or 6001, + user=dify_config.MATRIXONE_USER or "dump", + password=dify_config.MATRIXONE_PASSWORD or "111", + database=dify_config.MATRIXONE_DATABASE or "dify", + metric=dify_config.MATRIXONE_METRIC or "l2", + ) + return MatrixoneVector(collection_name=collection_name, config=config) diff --git a/api/core/rag/datasource/vdb/vector_factory.py b/api/core/rag/datasource/vdb/vector_factory.py index 66e002312a..67a4a515b1 100644 --- a/api/core/rag/datasource/vdb/vector_factory.py +++ b/api/core/rag/datasource/vdb/vector_factory.py @@ -164,6 +164,10 @@ class Vector: from core.rag.datasource.vdb.huawei.huawei_cloud_vector import HuaweiCloudVectorFactory return HuaweiCloudVectorFactory + case VectorType.MATRIXONE: + from core.rag.datasource.vdb.matrixone.matrixone_vector import MatrixoneVectorFactory + + return MatrixoneVectorFactory case _: raise ValueError(f"Vector store {vector_type} is not supported.") diff --git a/api/core/rag/datasource/vdb/vector_type.py b/api/core/rag/datasource/vdb/vector_type.py index 7a81565e37..0d70947b72 100644 --- a/api/core/rag/datasource/vdb/vector_type.py +++ b/api/core/rag/datasource/vdb/vector_type.py @@ -29,3 +29,4 @@ class VectorType(StrEnum): OPENGAUSS = "opengauss" TABLESTORE = "tablestore" HUAWEI_CLOUD = "huawei_cloud" + MATRIXONE = "matrixone" diff --git a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py index 8fe6199517..7a8efb4068 100644 --- a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py +++ b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py @@ -41,6 +41,13 @@ class WeaviateVector(BaseVector): weaviate.connect.connection.has_grpc = False + # Fix to minimize the performance impact of the deprecation check in weaviate-client 3.24.0, + # by changing the connection timeout to pypi.org from 1 second to 0.001 seconds. + # TODO: This can be removed once weaviate-client is updated to 3.26.7 or higher, + # which does not contain the deprecation check. + if hasattr(weaviate.connect.connection, "PYPI_TIMEOUT"): + weaviate.connect.connection.PYPI_TIMEOUT = 0.001 + try: client = weaviate.Client( url=config.endpoint, auth_client_secret=auth_config, timeout_config=(5, 60), startup_period=None diff --git a/api/core/rag/extractor/firecrawl/firecrawl_app.py b/api/core/rag/extractor/firecrawl/firecrawl_app.py index 836a1398bf..83a4ac651f 100644 --- a/api/core/rag/extractor/firecrawl/firecrawl_app.py +++ b/api/core/rag/extractor/firecrawl/firecrawl_app.py @@ -22,6 +22,7 @@ class FirecrawlApp: "formats": ["markdown"], "onlyMainContent": True, "timeout": 30000, + "integration": "dify", } if params: json_data.update(params) @@ -39,7 +40,7 @@ class FirecrawlApp: def crawl_url(self, url, params=None) -> str: # Documentation: https://docs.firecrawl.dev/api-reference/endpoint/crawl-post headers = self._prepare_headers() - json_data = {"url": url} + json_data = {"url": url, "integration": "dify"} if params: json_data.update(params) response = self._post_request(f"{self.base_url}/v1/crawl", json_data, headers) @@ -49,7 +50,6 @@ class FirecrawlApp: return cast(str, job_id) else: self._handle_error(response, "start crawl job") - # FIXME: unreachable code for mypy return "" # unreachable def check_crawl_status(self, job_id) -> dict[str, Any]: @@ -82,7 +82,6 @@ class FirecrawlApp: ) else: self._handle_error(response, "check crawl status") - # FIXME: unreachable code for mypy return {} # unreachable def _format_crawl_status_response( @@ -126,4 +125,31 @@ class FirecrawlApp: def _handle_error(self, response, action) -> None: error_message = response.json().get("error", "Unknown error occurred") - raise Exception(f"Failed to {action}. Status code: {response.status_code}. Error: {error_message}") + raise Exception(f"Failed to {action}. Status code: {response.status_code}. Error: {error_message}") # type: ignore[return] + + def search(self, query: str, params: dict[str, Any] | None = None) -> dict[str, Any]: + # Documentation: https://docs.firecrawl.dev/api-reference/endpoint/search + headers = self._prepare_headers() + json_data = { + "query": query, + "limit": 5, + "lang": "en", + "country": "us", + "timeout": 60000, + "ignoreInvalidURLs": False, + "scrapeOptions": {}, + "integration": "dify", + } + if params: + json_data.update(params) + response = self._post_request(f"{self.base_url}/v1/search", json_data, headers) + if response.status_code == 200: + response_data = response.json() + if not response_data.get("success"): + raise Exception(f"Search failed. Error: {response_data.get('warning', 'Unknown error')}") + return cast(dict[str, Any], response_data) + elif response.status_code in {402, 409, 500, 429, 408}: + self._handle_error(response, "perform search") + return {} # Avoid additional exception after handling error + else: + raise Exception(f"Failed to perform search. Status code: {response.status_code}") diff --git a/api/core/rag/extractor/markdown_extractor.py b/api/core/rag/extractor/markdown_extractor.py index 849852ac23..c97765b1dc 100644 --- a/api/core/rag/extractor/markdown_extractor.py +++ b/api/core/rag/extractor/markdown_extractor.py @@ -68,22 +68,17 @@ class MarkdownExtractor(BaseExtractor): continue header_match = re.match(r"^#+\s", line) if header_match: - if current_header is not None: - markdown_tups.append((current_header, current_text)) - + markdown_tups.append((current_header, current_text)) current_header = line current_text = "" else: current_text += line + "\n" markdown_tups.append((current_header, current_text)) - if current_header is not None: - # pass linting, assert keys are defined - markdown_tups = [ - (re.sub(r"#", "", cast(str, key)).strip(), re.sub(r"<.*?>", "", value)) for key, value in markdown_tups - ] - else: - markdown_tups = [(key, re.sub("\n", "", value)) for key, value in markdown_tups] + markdown_tups = [ + (re.sub(r"#", "", cast(str, key)).strip() if key else None, re.sub(r"<.*?>", "", value)) + for key, value in markdown_tups + ] return markdown_tups diff --git a/api/core/rag/extractor/notion_extractor.py b/api/core/rag/extractor/notion_extractor.py index 4e14800d0a..eca955ddd1 100644 --- a/api/core/rag/extractor/notion_extractor.py +++ b/api/core/rag/extractor/notion_extractor.py @@ -79,55 +79,71 @@ class NotionExtractor(BaseExtractor): def _get_notion_database_data(self, database_id: str, query_dict: dict[str, Any] = {}) -> list[Document]: """Get all the pages from a Notion database.""" assert self._notion_access_token is not None, "Notion access token is required" - res = requests.post( - DATABASE_URL_TMPL.format(database_id=database_id), - headers={ - "Authorization": "Bearer " + self._notion_access_token, - "Content-Type": "application/json", - "Notion-Version": "2022-06-28", - }, - json=query_dict, - ) - - data = res.json() database_content = [] - if "results" not in data or data["results"] is None: + next_cursor = None + has_more = True + + while has_more: + current_query = query_dict.copy() + if next_cursor: + current_query["start_cursor"] = next_cursor + + res = requests.post( + DATABASE_URL_TMPL.format(database_id=database_id), + headers={ + "Authorization": "Bearer " + self._notion_access_token, + "Content-Type": "application/json", + "Notion-Version": "2022-06-28", + }, + json=current_query, + ) + + response_data = res.json() + + if "results" not in response_data or response_data["results"] is None: + break + + for result in response_data["results"]: + properties = result["properties"] + data = {} + value: Any + for property_name, property_value in properties.items(): + type = property_value["type"] + if type == "multi_select": + value = [] + multi_select_list = property_value[type] + for multi_select in multi_select_list: + value.append(multi_select["name"]) + elif type in {"rich_text", "title"}: + if len(property_value[type]) > 0: + value = property_value[type][0]["plain_text"] + else: + value = "" + elif type in {"select", "status"}: + if property_value[type]: + value = property_value[type]["name"] + else: + value = "" + else: + value = property_value[type] + data[property_name] = value + row_dict = {k: v for k, v in data.items() if v} + row_content = "" + for key, value in row_dict.items(): + if isinstance(value, dict): + value_dict = {k: v for k, v in value.items() if v} + value_content = "".join(f"{k}:{v} " for k, v in value_dict.items()) + row_content = row_content + f"{key}:{value_content}\n" + else: + row_content = row_content + f"{key}:{value}\n" + database_content.append(row_content) + + has_more = response_data.get("has_more", False) + next_cursor = response_data.get("next_cursor") + + if not database_content: return [] - for result in data["results"]: - properties = result["properties"] - data = {} - value: Any - for property_name, property_value in properties.items(): - type = property_value["type"] - if type == "multi_select": - value = [] - multi_select_list = property_value[type] - for multi_select in multi_select_list: - value.append(multi_select["name"]) - elif type in {"rich_text", "title"}: - if len(property_value[type]) > 0: - value = property_value[type][0]["plain_text"] - else: - value = "" - elif type in {"select", "status"}: - if property_value[type]: - value = property_value[type]["name"] - else: - value = "" - else: - value = property_value[type] - data[property_name] = value - row_dict = {k: v for k, v in data.items() if v} - row_content = "" - for key, value in row_dict.items(): - if isinstance(value, dict): - value_dict = {k: v for k, v in value.items() if v} - value_content = "".join(f"{k}:{v} " for k, v in value_dict.items()) - row_content = row_content + f"{key}:{value_content}\n" - else: - row_content = row_content + f"{key}:{value}\n" - database_content.append(row_content) return [Document(page_content="\n".join(database_content))] diff --git a/api/core/rag/index_processor/processor/qa_index_processor.py b/api/core/rag/index_processor/processor/qa_index_processor.py index e778b2cec4..75f3153697 100644 --- a/api/core/rag/index_processor/processor/qa_index_processor.py +++ b/api/core/rag/index_processor/processor/qa_index_processor.py @@ -104,7 +104,7 @@ class QAIndexProcessor(BaseIndexProcessor): def format_by_template(self, file: FileStorage, **kwargs) -> list[Document]: # check file type - if not file.filename or not file.filename.endswith(".csv"): + if not file.filename or not file.filename.lower().endswith(".csv"): raise ValueError("Invalid file type. Only CSV files are allowed") try: diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index 6978860529..38c0b540d5 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -496,6 +496,8 @@ class DatasetRetrieval: all_documents = self.calculate_keyword_score(query, all_documents, top_k) elif index_type == "high_quality": all_documents = self.calculate_vector_score(all_documents, top_k, score_threshold) + else: + all_documents = all_documents[:top_k] if top_k else all_documents self._on_query(query, dataset_ids, app_id, user_from, user_id) diff --git a/api/core/repositories/sqlalchemy_workflow_execution_repository.py b/api/core/repositories/sqlalchemy_workflow_execution_repository.py index e5ead9dc56..cdec92aee7 100644 --- a/api/core/repositories/sqlalchemy_workflow_execution_repository.py +++ b/api/core/repositories/sqlalchemy_workflow_execution_repository.py @@ -6,7 +6,7 @@ import json import logging from typing import Optional, Union -from sqlalchemy import func, select +from sqlalchemy import select from sqlalchemy.engine import Engine from sqlalchemy.orm import sessionmaker @@ -16,6 +16,7 @@ from core.workflow.entities.workflow_execution import ( WorkflowType, ) from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter from models import ( Account, CreatorUserRole, @@ -146,26 +147,17 @@ class SQLAlchemyWorkflowExecutionRepository(WorkflowExecutionRepository): db_model.workflow_id = domain_model.workflow_id db_model.triggered_from = self._triggered_from - # Check if this is a new record - with self._session_factory() as session: - existing = session.scalar(select(WorkflowRun).where(WorkflowRun.id == domain_model.id_)) - if not existing: - # For new records, get the next sequence number - stmt = select(func.max(WorkflowRun.sequence_number)).where( - WorkflowRun.app_id == self._app_id, - WorkflowRun.tenant_id == self._tenant_id, - ) - max_sequence = session.scalar(stmt) - db_model.sequence_number = (max_sequence or 0) + 1 - else: - # For updates, keep the existing sequence number - db_model.sequence_number = existing.sequence_number + # No sequence number generation needed anymore db_model.type = domain_model.workflow_type db_model.version = domain_model.workflow_version db_model.graph = json.dumps(domain_model.graph) if domain_model.graph else None db_model.inputs = json.dumps(domain_model.inputs) if domain_model.inputs else None - db_model.outputs = json.dumps(domain_model.outputs) if domain_model.outputs else None + db_model.outputs = ( + json.dumps(WorkflowRuntimeTypeConverter().to_json_encodable(domain_model.outputs)) + if domain_model.outputs + else None + ) db_model.status = domain_model.status db_model.error = domain_model.error_message if domain_model.error_message else None db_model.total_tokens = domain_model.total_tokens diff --git a/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py b/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py index 2f27442616..797cce9354 100644 --- a/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py +++ b/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py @@ -19,6 +19,7 @@ from core.workflow.entities.workflow_node_execution import ( ) from core.workflow.nodes.enums import NodeType from core.workflow.repositories.workflow_node_execution_repository import OrderConfig, WorkflowNodeExecutionRepository +from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter from models import ( Account, CreatorUserRole, @@ -146,6 +147,7 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) if not self._creator_user_role: raise ValueError("created_by_role is required in repository constructor") + json_converter = WorkflowRuntimeTypeConverter() db_model = WorkflowNodeExecutionModel() db_model.id = domain_model.id db_model.tenant_id = self._tenant_id @@ -160,9 +162,17 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) db_model.node_id = domain_model.node_id db_model.node_type = domain_model.node_type db_model.title = domain_model.title - db_model.inputs = json.dumps(domain_model.inputs) if domain_model.inputs else None - db_model.process_data = json.dumps(domain_model.process_data) if domain_model.process_data else None - db_model.outputs = json.dumps(domain_model.outputs) if domain_model.outputs else None + db_model.inputs = ( + json.dumps(json_converter.to_json_encodable(domain_model.inputs)) if domain_model.inputs else None + ) + db_model.process_data = ( + json.dumps(json_converter.to_json_encodable(domain_model.process_data)) + if domain_model.process_data + else None + ) + db_model.outputs = ( + json.dumps(json_converter.to_json_encodable(domain_model.outputs)) if domain_model.outputs else None + ) db_model.status = domain_model.status db_model.error = domain_model.error db_model.elapsed_time = domain_model.elapsed_time diff --git a/api/core/variables/segments.py b/api/core/variables/segments.py index 64ba16c367..6cf09e0372 100644 --- a/api/core/variables/segments.py +++ b/api/core/variables/segments.py @@ -75,6 +75,20 @@ class StringSegment(Segment): class FloatSegment(Segment): value_type: SegmentType = SegmentType.NUMBER value: float + # NOTE(QuantumGhost): seems that the equality for FloatSegment with `NaN` value has some problems. + # The following tests cannot pass. + # + # def test_float_segment_and_nan(): + # nan = float("nan") + # assert nan != nan + # + # f1 = FloatSegment(value=float("nan")) + # f2 = FloatSegment(value=float("nan")) + # assert f1 != f2 + # + # f3 = FloatSegment(value=nan) + # f4 = FloatSegment(value=nan) + # assert f3 != f4 class IntegerSegment(Segment): diff --git a/api/core/variables/types.py b/api/core/variables/types.py index 4387e9693e..68d3d82883 100644 --- a/api/core/variables/types.py +++ b/api/core/variables/types.py @@ -18,3 +18,17 @@ class SegmentType(StrEnum): NONE = "none" GROUP = "group" + + def is_array_type(self): + return self in _ARRAY_TYPES + + +_ARRAY_TYPES = frozenset( + [ + SegmentType.ARRAY_ANY, + SegmentType.ARRAY_STRING, + SegmentType.ARRAY_NUMBER, + SegmentType.ARRAY_OBJECT, + SegmentType.ARRAY_FILE, + ] +) diff --git a/api/core/variables/utils.py b/api/core/variables/utils.py index e5d222af7d..692db3502e 100644 --- a/api/core/variables/utils.py +++ b/api/core/variables/utils.py @@ -1,8 +1,26 @@ +import json from collections.abc import Iterable, Sequence +from .segment_group import SegmentGroup +from .segments import ArrayFileSegment, FileSegment, Segment + def to_selector(node_id: str, name: str, paths: Iterable[str] = ()) -> Sequence[str]: selectors = [node_id, name] if paths: selectors.extend(paths) return selectors + + +class SegmentJSONEncoder(json.JSONEncoder): + def default(self, o): + if isinstance(o, ArrayFileSegment): + return [v.model_dump() for v in o.value] + elif isinstance(o, FileSegment): + return o.value.model_dump() + elif isinstance(o, SegmentGroup): + return [self.default(seg) for seg in o.value] + elif isinstance(o, Segment): + return o.value + else: + super().default(o) diff --git a/api/core/workflow/conversation_variable_updater.py b/api/core/workflow/conversation_variable_updater.py new file mode 100644 index 0000000000..84e99bb582 --- /dev/null +++ b/api/core/workflow/conversation_variable_updater.py @@ -0,0 +1,39 @@ +import abc +from typing import Protocol + +from core.variables import Variable + + +class ConversationVariableUpdater(Protocol): + """ + ConversationVariableUpdater defines an abstraction for updating conversation variable values. + + It is intended for use by `v1.VariableAssignerNode` and `v2.VariableAssignerNode` when updating + conversation variables. + + Implementations may choose to batch updates. If batching is used, the `flush` method + should be implemented to persist buffered changes, and `update` + should handle buffering accordingly. + + Note: Since implementations may buffer updates, instances of ConversationVariableUpdater + are not thread-safe. Each VariableAssignerNode should create its own instance during execution. + """ + + @abc.abstractmethod + def update(self, conversation_id: str, variable: "Variable") -> None: + """ + Updates the value of the specified conversation variable in the underlying storage. + + :param conversation_id: The ID of the conversation to update. Typically references `ConversationVariable.id`. + :param variable: The `Variable` instance containing the updated value. + """ + pass + + @abc.abstractmethod + def flush(self): + """ + Flushes all pending updates to the underlying storage system. + + If the implementation does not buffer updates, this method can be a no-op. + """ + pass diff --git a/api/core/workflow/entities/variable_pool.py b/api/core/workflow/entities/variable_pool.py index af26864c01..80dda2632d 100644 --- a/api/core/workflow/entities/variable_pool.py +++ b/api/core/workflow/entities/variable_pool.py @@ -7,12 +7,12 @@ from pydantic import BaseModel, Field from core.file import File, FileAttribute, file_manager from core.variables import Segment, SegmentGroup, Variable +from core.variables.consts import MIN_SELECTORS_LENGTH from core.variables.segments import FileSegment, NoneSegment +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, ENVIRONMENT_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID +from core.workflow.enums import SystemVariableKey from factories import variable_factory -from ..constants import CONVERSATION_VARIABLE_NODE_ID, ENVIRONMENT_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID -from ..enums import SystemVariableKey - VariableValue = Union[str, int, float, dict, list, File] VARIABLE_PATTERN = re.compile(r"\{\{#([a-zA-Z0-9_]{1,50}(?:\.[a-zA-Z_][a-zA-Z0-9_]{0,29}){1,10})#\}\}") @@ -30,9 +30,11 @@ class VariablePool(BaseModel): # TODO: This user inputs is not used for pool. user_inputs: Mapping[str, Any] = Field( description="User inputs", + default_factory=dict, ) system_variables: Mapping[SystemVariableKey, Any] = Field( description="System variables", + default_factory=dict, ) environment_variables: Sequence[Variable] = Field( description="Environment variables.", @@ -43,28 +45,7 @@ class VariablePool(BaseModel): default_factory=list, ) - def __init__( - self, - *, - system_variables: Mapping[SystemVariableKey, Any] | None = None, - user_inputs: Mapping[str, Any] | None = None, - environment_variables: Sequence[Variable] | None = None, - conversation_variables: Sequence[Variable] | None = None, - **kwargs, - ): - environment_variables = environment_variables or [] - conversation_variables = conversation_variables or [] - user_inputs = user_inputs or {} - system_variables = system_variables or {} - - super().__init__( - system_variables=system_variables, - user_inputs=user_inputs, - environment_variables=environment_variables, - conversation_variables=conversation_variables, - **kwargs, - ) - + def model_post_init(self, context: Any, /) -> None: for key, value in self.system_variables.items(): self.add((SYSTEM_VARIABLE_NODE_ID, key.value), value) # Add environment variables to the variable pool @@ -91,12 +72,12 @@ class VariablePool(BaseModel): Returns: None """ - if len(selector) < 2: + if len(selector) < MIN_SELECTORS_LENGTH: raise ValueError("Invalid selector") if isinstance(value, Variable): variable = value - if isinstance(value, Segment): + elif isinstance(value, Segment): variable = variable_factory.segment_to_variable(segment=value, selector=selector) else: segment = variable_factory.build_segment(value) @@ -118,7 +99,7 @@ class VariablePool(BaseModel): Raises: ValueError: If the selector is invalid. """ - if len(selector) < 2: + if len(selector) < MIN_SELECTORS_LENGTH: return None hash_key = hash(tuple(selector[1:])) diff --git a/api/core/workflow/graph_engine/entities/event.py b/api/core/workflow/graph_engine/entities/event.py index 9a4939502e..e57e9e4d64 100644 --- a/api/core/workflow/graph_engine/entities/event.py +++ b/api/core/workflow/graph_engine/entities/event.py @@ -66,6 +66,8 @@ class BaseNodeEvent(GraphEngineEvent): """iteration id if node is in iteration""" in_loop_id: Optional[str] = None """loop id if node is in loop""" + # The version of the node, or "1" if not specified. + node_version: str = "1" class NodeRunStartedEvent(BaseNodeEvent): diff --git a/api/core/workflow/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py index 363b2ee920..2809afad02 100644 --- a/api/core/workflow/graph_engine/graph_engine.py +++ b/api/core/workflow/graph_engine/graph_engine.py @@ -9,7 +9,7 @@ from copy import copy, deepcopy from datetime import UTC, datetime from typing import Any, Optional, cast -from flask import Flask, current_app, has_request_context +from flask import Flask, current_app from configs import dify_config from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError @@ -53,6 +53,7 @@ from core.workflow.nodes.end.end_stream_processor import EndStreamProcessor from core.workflow.nodes.enums import ErrorStrategy, FailBranchSourceHandle from core.workflow.nodes.event import RunCompletedEvent, RunRetrieverResourceEvent, RunStreamChunkEvent from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING +from libs.flask_utils import preserve_flask_contexts from models.enums import UserFrom from models.workflow import WorkflowType @@ -313,6 +314,7 @@ class GraphEngine: parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + node_version=node_instance.version(), ) raise e @@ -537,24 +539,9 @@ class GraphEngine: """ Run parallel nodes """ - for var, val in context.items(): - var.set(val) - # FIXME(-LAN-): Save current user before entering new app context - from flask import g - - saved_user = None - if has_request_context() and hasattr(g, "_login_user"): - saved_user = g._login_user - - with flask_app.app_context(): + with preserve_flask_contexts(flask_app, context_vars=context): try: - # Restore user in new app context - if saved_user is not None: - from flask import g - - g._login_user = saved_user - q.put( ParallelBranchRunStartedEvent( parallel_id=parallel_id, @@ -641,6 +628,7 @@ class GraphEngine: parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, agent_strategy=agent_strategy, + node_version=node_instance.version(), ) max_retries = node_instance.node_data.retry_config.max_retries @@ -653,26 +641,19 @@ class GraphEngine: retry_start_at = datetime.now(UTC).replace(tzinfo=None) # yield control to other threads time.sleep(0.001) - generator = node_instance.run() - for item in generator: - if isinstance(item, GraphEngineEvent): - if isinstance(item, BaseIterationEvent): - # add parallel info to iteration event - item.parallel_id = parallel_id - item.parallel_start_node_id = parallel_start_node_id - item.parent_parallel_id = parent_parallel_id - item.parent_parallel_start_node_id = parent_parallel_start_node_id - elif isinstance(item, BaseLoopEvent): - # add parallel info to loop event - item.parallel_id = parallel_id - item.parallel_start_node_id = parallel_start_node_id - item.parent_parallel_id = parent_parallel_id - item.parent_parallel_start_node_id = parent_parallel_start_node_id - - yield item + event_stream = node_instance.run() + for event in event_stream: + if isinstance(event, GraphEngineEvent): + # add parallel info to iteration event + if isinstance(event, BaseIterationEvent | BaseLoopEvent): + event.parallel_id = parallel_id + event.parallel_start_node_id = parallel_start_node_id + event.parent_parallel_id = parent_parallel_id + event.parent_parallel_start_node_id = parent_parallel_start_node_id + yield event else: - if isinstance(item, RunCompletedEvent): - run_result = item.run_result + if isinstance(event, RunCompletedEvent): + run_result = event.run_result if run_result.status == WorkflowNodeExecutionStatus.FAILED: if ( retries == max_retries @@ -698,6 +679,7 @@ class GraphEngine: error=run_result.error or "Unknown error", retry_index=retries, start_at=retry_start_at, + node_version=node_instance.version(), ) time.sleep(retry_interval) break @@ -708,7 +690,7 @@ class GraphEngine: # if run failed, handle error run_result = self._handle_continue_on_error( node_instance, - item.run_result, + event.run_result, self.graph_runtime_state.variable_pool, handle_exceptions=handle_exceptions, ) @@ -733,6 +715,7 @@ class GraphEngine: parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + node_version=node_instance.version(), ) should_continue_retry = False else: @@ -747,6 +730,7 @@ class GraphEngine: parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + node_version=node_instance.version(), ) should_continue_retry = False elif run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED: @@ -807,37 +791,40 @@ class GraphEngine: parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + node_version=node_instance.version(), ) should_continue_retry = False break - elif isinstance(item, RunStreamChunkEvent): + elif isinstance(event, RunStreamChunkEvent): yield NodeRunStreamChunkEvent( id=node_instance.id, node_id=node_instance.node_id, node_type=node_instance.node_type, node_data=node_instance.node_data, - chunk_content=item.chunk_content, - from_variable_selector=item.from_variable_selector, + chunk_content=event.chunk_content, + from_variable_selector=event.from_variable_selector, route_node_state=route_node_state, parallel_id=parallel_id, parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + node_version=node_instance.version(), ) - elif isinstance(item, RunRetrieverResourceEvent): + elif isinstance(event, RunRetrieverResourceEvent): yield NodeRunRetrieverResourceEvent( id=node_instance.id, node_id=node_instance.node_id, node_type=node_instance.node_type, node_data=node_instance.node_data, - retriever_resources=item.retriever_resources, - context=item.context, + retriever_resources=event.retriever_resources, + context=event.context, route_node_state=route_node_state, parallel_id=parallel_id, parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + node_version=node_instance.version(), ) except GenerateTaskStoppedError: # trigger node run failed event @@ -854,6 +841,7 @@ class GraphEngine: parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + node_version=node_instance.version(), ) return except Exception as e: diff --git a/api/core/workflow/nodes/agent/agent_node.py b/api/core/workflow/nodes/agent/agent_node.py index faa8f90bea..22c564c1fc 100644 --- a/api/core/workflow/nodes/agent/agent_node.py +++ b/api/core/workflow/nodes/agent/agent_node.py @@ -214,7 +214,7 @@ class AgentNode(ToolNode): ) if tool_runtime.entity.description: tool_runtime.entity.description.llm = ( - extra.get("descrption", "") or tool_runtime.entity.description.llm + extra.get("description", "") or tool_runtime.entity.description.llm ) for tool_runtime_params in tool_runtime.entity.parameters: tool_runtime_params.form = ( diff --git a/api/core/workflow/nodes/answer/answer_node.py b/api/core/workflow/nodes/answer/answer_node.py index aa030870e2..38c2bcbdf5 100644 --- a/api/core/workflow/nodes/answer/answer_node.py +++ b/api/core/workflow/nodes/answer/answer_node.py @@ -18,7 +18,11 @@ from core.workflow.utils.variable_template_parser import VariableTemplateParser class AnswerNode(BaseNode[AnswerNodeData]): _node_data_cls = AnswerNodeData - _node_type: NodeType = NodeType.ANSWER + _node_type = NodeType.ANSWER + + @classmethod + def version(cls) -> str: + return "1" def _run(self) -> NodeRunResult: """ @@ -45,7 +49,10 @@ class AnswerNode(BaseNode[AnswerNodeData]): part = cast(TextGenerateRouteChunk, part) answer += part.text - return NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED, outputs={"answer": answer, "files": files}) + return NodeRunResult( + status=WorkflowNodeExecutionStatus.SUCCEEDED, + outputs={"answer": answer, "files": ArrayFileSegment(value=files)}, + ) @classmethod def _extract_variable_selector_to_variable_mapping( diff --git a/api/core/workflow/nodes/answer/answer_stream_processor.py b/api/core/workflow/nodes/answer/answer_stream_processor.py index ba6ba16e36..f3e4a62ade 100644 --- a/api/core/workflow/nodes/answer/answer_stream_processor.py +++ b/api/core/workflow/nodes/answer/answer_stream_processor.py @@ -109,6 +109,7 @@ class AnswerStreamProcessor(StreamProcessor): parallel_id=event.parallel_id, parallel_start_node_id=event.parallel_start_node_id, from_variable_selector=[answer_node_id, "answer"], + node_version=event.node_version, ) else: route_chunk = cast(VarGenerateRouteChunk, route_chunk) @@ -134,6 +135,7 @@ class AnswerStreamProcessor(StreamProcessor): route_node_state=event.route_node_state, parallel_id=event.parallel_id, parallel_start_node_id=event.parallel_start_node_id, + node_version=event.node_version, ) self.route_position[answer_node_id] += 1 diff --git a/api/core/workflow/nodes/answer/base_stream_processor.py b/api/core/workflow/nodes/answer/base_stream_processor.py index 6671ff0746..09d5464d7a 100644 --- a/api/core/workflow/nodes/answer/base_stream_processor.py +++ b/api/core/workflow/nodes/answer/base_stream_processor.py @@ -57,7 +57,6 @@ class StreamProcessor(ABC): # The branch_identify parameter is added to ensure that # only nodes in the correct logical branch are included. - reachable_node_ids.append(edge.target_node_id) ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id, run_result.edge_source_handle) reachable_node_ids.extend(ids) else: @@ -74,6 +73,8 @@ class StreamProcessor(ABC): self._remove_node_ids_in_unreachable_branch(node_id, reachable_node_ids) def _fetch_node_ids_in_reachable_branch(self, node_id: str, branch_identify: Optional[str] = None) -> list[str]: + if node_id not in self.rest_node_ids: + self.rest_node_ids.append(node_id) node_ids = [] for edge in self.graph.edge_mapping.get(node_id, []): if edge.target_node_id == self.graph.root_node_id: diff --git a/api/core/workflow/nodes/base/node.py b/api/core/workflow/nodes/base/node.py index 7da0c19740..6973401429 100644 --- a/api/core/workflow/nodes/base/node.py +++ b/api/core/workflow/nodes/base/node.py @@ -1,7 +1,7 @@ import logging from abc import abstractmethod from collections.abc import Generator, Mapping, Sequence -from typing import TYPE_CHECKING, Any, Generic, Optional, TypeVar, Union, cast +from typing import TYPE_CHECKING, Any, ClassVar, Generic, Optional, TypeVar, Union, cast from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus @@ -23,7 +23,7 @@ GenericNodeData = TypeVar("GenericNodeData", bound=BaseNodeData) class BaseNode(Generic[GenericNodeData]): _node_data_cls: type[GenericNodeData] - _node_type: NodeType + _node_type: ClassVar[NodeType] def __init__( self, @@ -90,8 +90,38 @@ class BaseNode(Generic[GenericNodeData]): graph_config: Mapping[str, Any], config: Mapping[str, Any], ) -> Mapping[str, Sequence[str]]: - """ - Extract variable selector to variable mapping + """Extracts references variable selectors from node configuration. + + The `config` parameter represents the configuration for a specific node type and corresponds + to the `data` field in the node definition object. + + The returned mapping has the following structure: + + {'1747829548239.#1747829667553.result#': ['1747829667553', 'result']} + + For loop and iteration nodes, the mapping may look like this: + + { + "1748332301644.input_selector": ["1748332363630", "result"], + "1748332325079.1748332325079.#sys.workflow_id#": ["sys", "workflow_id"], + } + + where `1748332301644` is the ID of the loop / iteration node, + and `1748332325079` is the ID of the node inside the loop or iteration node. + + Here, the key consists of two parts: the current node ID (provided as the `node_id` + parameter to `_extract_variable_selector_to_variable_mapping`) and the variable selector, + enclosed in `#` symbols. These two parts are separated by a dot (`.`). + + The value is a list of string representing the variable selector, where the first element is the node ID + of the referenced variable, and the second element is the variable name within that node. + + The meaning of the above response is: + + The node with ID `1747829548239` references the variable `result` from the node with + ID `1747829667553`. For example, if `1747829548239` is a LLM node, its prompt may contain a + reference to the `result` output variable of node `1747829667553`. + :param graph_config: graph config :param config: node config :return: @@ -101,9 +131,10 @@ class BaseNode(Generic[GenericNodeData]): raise ValueError("Node ID is required when extracting variable selector to variable mapping.") node_data = cls._node_data_cls(**config.get("data", {})) - return cls._extract_variable_selector_to_variable_mapping( + data = cls._extract_variable_selector_to_variable_mapping( graph_config=graph_config, node_id=node_id, node_data=cast(GenericNodeData, node_data) ) + return data @classmethod def _extract_variable_selector_to_variable_mapping( @@ -139,6 +170,16 @@ class BaseNode(Generic[GenericNodeData]): """ return self._node_type + @classmethod + @abstractmethod + def version(cls) -> str: + """`node_version` returns the version of current node type.""" + # NOTE(QuantumGhost): This should be in sync with `NODE_TYPE_CLASSES_MAPPING`. + # + # If you have introduced a new node type, please add it to `NODE_TYPE_CLASSES_MAPPING` + # in `api/core/workflow/nodes/__init__.py`. + raise NotImplementedError("subclasses of BaseNode must implement `version` method.") + @property def should_continue_on_error(self) -> bool: """judge if should continue on error diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index 61c08a7d71..22ed9e2651 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -40,6 +40,10 @@ class CodeNode(BaseNode[CodeNodeData]): return code_provider.get_default_config() + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: # Get code language code_language = self.node_data.code_language @@ -126,6 +130,9 @@ class CodeNode(BaseNode[CodeNodeData]): prefix: str = "", depth: int = 1, ): + # TODO(QuantumGhost): Replace native Python lists with `Array*Segment` classes. + # Note that `_transform_result` may produce lists containing `None` values, + # which don't conform to the type requirements of `Array*Segment` classes. if depth > dify_config.CODE_MAX_DEPTH: raise DepthLimitError(f"Depth limit {dify_config.CODE_MAX_DEPTH} reached, object too deep.") diff --git a/api/core/workflow/nodes/document_extractor/node.py b/api/core/workflow/nodes/document_extractor/node.py index 429fed2d04..9f48b48865 100644 --- a/api/core/workflow/nodes/document_extractor/node.py +++ b/api/core/workflow/nodes/document_extractor/node.py @@ -24,7 +24,7 @@ from configs import dify_config from core.file import File, FileTransferMethod, file_manager from core.helper import ssrf_proxy from core.variables import ArrayFileSegment -from core.variables.segments import FileSegment +from core.variables.segments import ArrayStringSegment, FileSegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode @@ -45,6 +45,10 @@ class DocumentExtractorNode(BaseNode[DocumentExtractorNodeData]): _node_data_cls = DocumentExtractorNodeData _node_type = NodeType.DOCUMENT_EXTRACTOR + @classmethod + def version(cls) -> str: + return "1" + def _run(self): variable_selector = self.node_data.variable_selector variable = self.graph_runtime_state.variable_pool.get(variable_selector) @@ -67,7 +71,7 @@ class DocumentExtractorNode(BaseNode[DocumentExtractorNodeData]): status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=inputs, process_data=process_data, - outputs={"text": extracted_text_list}, + outputs={"text": ArrayStringSegment(value=extracted_text_list)}, ) elif isinstance(value, File): extracted_text = _extract_text_from_file(value) diff --git a/api/core/workflow/nodes/end/end_node.py b/api/core/workflow/nodes/end/end_node.py index 0e9756b243..17a0b3adeb 100644 --- a/api/core/workflow/nodes/end/end_node.py +++ b/api/core/workflow/nodes/end/end_node.py @@ -9,6 +9,10 @@ class EndNode(BaseNode[EndNodeData]): _node_data_cls = EndNodeData _node_type = NodeType.END + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: """ Run node diff --git a/api/core/workflow/nodes/end/end_stream_processor.py b/api/core/workflow/nodes/end/end_stream_processor.py index 3ae5af7137..a6fb2ffc18 100644 --- a/api/core/workflow/nodes/end/end_stream_processor.py +++ b/api/core/workflow/nodes/end/end_stream_processor.py @@ -139,6 +139,7 @@ class EndStreamProcessor(StreamProcessor): route_node_state=event.route_node_state, parallel_id=event.parallel_id, parallel_start_node_id=event.parallel_start_node_id, + node_version=event.node_version, ) self.route_position[end_node_id] += 1 diff --git a/api/core/workflow/nodes/event/event.py b/api/core/workflow/nodes/event/event.py index b72d111f49..3ebe80f245 100644 --- a/api/core/workflow/nodes/event/event.py +++ b/api/core/workflow/nodes/event/event.py @@ -6,7 +6,6 @@ from pydantic import BaseModel, Field from core.model_runtime.entities.llm_entities import LLMUsage from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.workflow.entities.node_entities import NodeRunResult -from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus class RunCompletedEvent(BaseModel): @@ -39,11 +38,3 @@ class RunRetryEvent(BaseModel): error: str = Field(..., description="error") retry_index: int = Field(..., description="Retry attempt number") start_at: datetime = Field(..., description="Retry start time") - - -class SingleStepRetryEvent(NodeRunResult): - """Single step retry event""" - - status: WorkflowNodeExecutionStatus = WorkflowNodeExecutionStatus.RETRY - - elapsed_time: float = Field(..., description="elapsed time") diff --git a/api/core/workflow/nodes/http_request/node.py b/api/core/workflow/nodes/http_request/node.py index 6b1ac57c06..971e0f73e7 100644 --- a/api/core/workflow/nodes/http_request/node.py +++ b/api/core/workflow/nodes/http_request/node.py @@ -6,6 +6,7 @@ from typing import Any, Optional from configs import dify_config from core.file import File, FileTransferMethod from core.tools.tool_file_manager import ToolFileManager +from core.variables.segments import ArrayFileSegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_entities import VariableSelector from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus @@ -60,6 +61,10 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): }, } + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: process_data = {} try: @@ -92,7 +97,7 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): status=WorkflowNodeExecutionStatus.SUCCEEDED, outputs={ "status_code": response.status_code, - "body": response.text if not files else "", + "body": response.text if not files.value else "", "headers": response.headers, "files": files, }, @@ -166,7 +171,7 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): return mapping - def extract_files(self, url: str, response: Response) -> list[File]: + def extract_files(self, url: str, response: Response) -> ArrayFileSegment: """ Extract files from response by checking both Content-Type header and URL """ @@ -178,7 +183,7 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): content_disposition_type = None if not is_file: - return files + return ArrayFileSegment(value=[]) if parsed_content_disposition: content_disposition_filename = parsed_content_disposition.get_filename() @@ -211,4 +216,4 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): ) files.append(file) - return files + return ArrayFileSegment(value=files) diff --git a/api/core/workflow/nodes/if_else/if_else_node.py b/api/core/workflow/nodes/if_else/if_else_node.py index 976922f75d..22b748030c 100644 --- a/api/core/workflow/nodes/if_else/if_else_node.py +++ b/api/core/workflow/nodes/if_else/if_else_node.py @@ -1,4 +1,5 @@ -from typing import Literal +from collections.abc import Mapping, Sequence +from typing import Any, Literal from typing_extensions import deprecated @@ -16,6 +17,10 @@ class IfElseNode(BaseNode[IfElseNodeData]): _node_data_cls = IfElseNodeData _node_type = NodeType.IF_ELSE + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: """ Run node @@ -87,6 +92,22 @@ class IfElseNode(BaseNode[IfElseNodeData]): return data + @classmethod + def _extract_variable_selector_to_variable_mapping( + cls, + *, + graph_config: Mapping[str, Any], + node_id: str, + node_data: IfElseNodeData, + ) -> Mapping[str, Sequence[str]]: + var_mapping: dict[str, list[str]] = {} + for case in node_data.cases or []: + for condition in case.conditions: + key = "{}.#{}#".format(node_id, ".".join(condition.variable_selector)) + var_mapping[key] = condition.variable_selector + + return var_mapping + @deprecated("This function is deprecated. You should use the new cases structure.") def _should_not_use_old_function( diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py index 2592823540..151efc28ec 100644 --- a/api/core/workflow/nodes/iteration/iteration_node.py +++ b/api/core/workflow/nodes/iteration/iteration_node.py @@ -7,10 +7,11 @@ from datetime import UTC, datetime from queue import Empty, Queue from typing import TYPE_CHECKING, Any, Optional, cast -from flask import Flask, current_app, has_request_context +from flask import Flask, current_app from configs import dify_config from core.variables import ArrayVariable, IntegerVariable, NoneVariable +from core.variables.segments import ArrayAnySegment, ArraySegment from core.workflow.entities.node_entities import ( NodeRunResult, ) @@ -37,6 +38,8 @@ from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.event import NodeEvent, RunCompletedEvent from core.workflow.nodes.iteration.entities import ErrorHandleMode, IterationNodeData +from factories.variable_factory import build_segment +from libs.flask_utils import preserve_flask_contexts from .exc import ( InvalidIteratorValueError, @@ -71,6 +74,10 @@ class IterationNode(BaseNode[IterationNodeData]): }, } + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: """ Run the node. @@ -84,10 +91,17 @@ class IterationNode(BaseNode[IterationNodeData]): raise InvalidIteratorValueError(f"invalid iterator value: {variable}, please provide a list.") if isinstance(variable, NoneVariable) or len(variable.value) == 0: + # Try our best to preserve the type informat. + if isinstance(variable, ArraySegment): + output = variable.model_copy(update={"value": []}) + else: + output = ArrayAnySegment(value=[]) yield RunCompletedEvent( run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, - outputs={"output": []}, + # TODO(QuantumGhost): is it possible to compute the type of `output` + # from graph definition? + outputs={"output": output}, ) ) return @@ -230,6 +244,7 @@ class IterationNode(BaseNode[IterationNodeData]): # Flatten the list of lists if isinstance(outputs, list) and all(isinstance(output, list) for output in outputs): outputs = [item for sublist in outputs for item in sublist] + output_segment = build_segment(outputs) yield IterationRunSucceededEvent( iteration_id=self.id, @@ -246,7 +261,7 @@ class IterationNode(BaseNode[IterationNodeData]): yield RunCompletedEvent( run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, - outputs={"output": outputs}, + outputs={"output": output_segment}, metadata={ WorkflowNodeExecutionMetadataKey.ITERATION_DURATION_MAP: iter_run_map, WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, @@ -583,23 +598,8 @@ class IterationNode(BaseNode[IterationNodeData]): """ run single iteration in parallel mode """ - for var, val in context.items(): - var.set(val) - - # FIXME(-LAN-): Save current user before entering new app context - from flask import g - - saved_user = None - if has_request_context() and hasattr(g, "_login_user"): - saved_user = g._login_user - - with flask_app.app_context(): - # Restore user in new app context - if saved_user is not None: - from flask import g - - g._login_user = saved_user + with preserve_flask_contexts(flask_app, context_vars=context): parallel_mode_run_id = uuid.uuid4().hex graph_engine_copy = graph_engine.create_copy() variable_pool_copy = graph_engine_copy.graph_runtime_state.variable_pool diff --git a/api/core/workflow/nodes/iteration/iteration_start_node.py b/api/core/workflow/nodes/iteration/iteration_start_node.py index bee481ebdb..9900aa225d 100644 --- a/api/core/workflow/nodes/iteration/iteration_start_node.py +++ b/api/core/workflow/nodes/iteration/iteration_start_node.py @@ -13,6 +13,10 @@ class IterationStartNode(BaseNode[IterationStartNodeData]): _node_data_cls = IterationStartNodeData _node_type = NodeType.ITERATION_START + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: """ Run the node. diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py index 5cf5848d54..2995f0682f 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py +++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py @@ -24,6 +24,7 @@ from core.rag.entities.metadata_entities import Condition, MetadataCondition from core.rag.retrieval.dataset_retrieval import DatasetRetrieval from core.rag.retrieval.retrieval_methods import RetrievalMethod from core.variables import StringSegment +from core.variables.segments import ArrayObjectSegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.enums import NodeType @@ -115,9 +116,12 @@ class KnowledgeRetrievalNode(LLMNode): # retrieve knowledge try: results = self._fetch_dataset_retriever(node_data=node_data, query=query) - outputs = {"result": results} + outputs = {"result": ArrayObjectSegment(value=results)} return NodeRunResult( - status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=variables, process_data=None, outputs=outputs + status=WorkflowNodeExecutionStatus.SUCCEEDED, + inputs=variables, + process_data=None, + outputs=outputs, # type: ignore ) except KnowledgeRetrievalNodeError as e: diff --git a/api/core/workflow/nodes/list_operator/node.py b/api/core/workflow/nodes/list_operator/node.py index e698d3f5d8..3c9ba44cf1 100644 --- a/api/core/workflow/nodes/list_operator/node.py +++ b/api/core/workflow/nodes/list_operator/node.py @@ -3,6 +3,7 @@ from typing import Any, Literal, Union from core.file import File from core.variables import ArrayFileSegment, ArrayNumberSegment, ArrayStringSegment +from core.variables.segments import ArrayAnySegment, ArraySegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode @@ -16,6 +17,10 @@ class ListOperatorNode(BaseNode[ListOperatorNodeData]): _node_data_cls = ListOperatorNodeData _node_type = NodeType.LIST_OPERATOR + @classmethod + def version(cls) -> str: + return "1" + def _run(self): inputs: dict[str, list] = {} process_data: dict[str, list] = {} @@ -30,7 +35,11 @@ class ListOperatorNode(BaseNode[ListOperatorNodeData]): if not variable.value: inputs = {"variable": []} process_data = {"variable": []} - outputs = {"result": [], "first_record": None, "last_record": None} + if isinstance(variable, ArraySegment): + result = variable.model_copy(update={"value": []}) + else: + result = ArrayAnySegment(value=[]) + outputs = {"result": result, "first_record": None, "last_record": None} return NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=inputs, @@ -71,7 +80,7 @@ class ListOperatorNode(BaseNode[ListOperatorNodeData]): variable = self._apply_slice(variable) outputs = { - "result": variable.value, + "result": variable, "first_record": variable.value[0] if variable.value else None, "last_record": variable.value[-1] if variable.value else None, } diff --git a/api/core/workflow/nodes/llm/file_saver.py b/api/core/workflow/nodes/llm/file_saver.py index c85baade03..a4b45ce652 100644 --- a/api/core/workflow/nodes/llm/file_saver.py +++ b/api/core/workflow/nodes/llm/file_saver.py @@ -119,9 +119,6 @@ class FileSaverImpl(LLMFileSaver): size=len(data), related_id=tool_file.id, url=url, - # TODO(QuantumGhost): how should I set the following key? - # What's the difference between `remote_url` and `url`? - # What's the purpose of `storage_key` and `dify_model_identity`? storage_key=tool_file.file_key, ) diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py index d27124d62c..124ae6d75d 100644 --- a/api/core/workflow/nodes/llm/node.py +++ b/api/core/workflow/nodes/llm/node.py @@ -138,6 +138,10 @@ class LLMNode(BaseNode[LLMNodeData]): ) self._llm_file_saver = llm_file_saver + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: def process_structured_output(text: str) -> Optional[dict[str, Any]]: """Process structured output if enabled""" @@ -255,7 +259,7 @@ class LLMNode(BaseNode[LLMNodeData]): if structured_output: outputs["structured_output"] = structured_output if self._file_outputs is not None: - outputs["files"] = self._file_outputs + outputs["files"] = ArrayFileSegment(value=self._file_outputs) yield RunCompletedEvent( run_result=NodeRunResult( diff --git a/api/core/workflow/nodes/loop/loop_end_node.py b/api/core/workflow/nodes/loop/loop_end_node.py index 327b9e234b..b144021bab 100644 --- a/api/core/workflow/nodes/loop/loop_end_node.py +++ b/api/core/workflow/nodes/loop/loop_end_node.py @@ -13,6 +13,10 @@ class LoopEndNode(BaseNode[LoopEndNodeData]): _node_data_cls = LoopEndNodeData _node_type = NodeType.LOOP_END + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: """ Run the node. diff --git a/api/core/workflow/nodes/loop/loop_node.py b/api/core/workflow/nodes/loop/loop_node.py index fafa205386..368d662a75 100644 --- a/api/core/workflow/nodes/loop/loop_node.py +++ b/api/core/workflow/nodes/loop/loop_node.py @@ -54,6 +54,10 @@ class LoopNode(BaseNode[LoopNodeData]): _node_data_cls = LoopNodeData _node_type = NodeType.LOOP + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: """Run the node.""" # Get inputs @@ -482,6 +486,13 @@ class LoopNode(BaseNode[LoopNodeData]): variable_mapping.update(sub_node_variable_mapping) + for loop_variable in node_data.loop_variables or []: + if loop_variable.value_type == "variable": + assert loop_variable.value is not None, "Loop variable value must be provided for variable type" + # add loop variable to variable mapping + selector = loop_variable.value + variable_mapping[f"{node_id}.{loop_variable.label}"] = selector + # remove variable out from loop variable_mapping = { key: value for key, value in variable_mapping.items() if value[0] not in loop_graph.node_ids diff --git a/api/core/workflow/nodes/loop/loop_start_node.py b/api/core/workflow/nodes/loop/loop_start_node.py index 5a15f36044..f5e38b7516 100644 --- a/api/core/workflow/nodes/loop/loop_start_node.py +++ b/api/core/workflow/nodes/loop/loop_start_node.py @@ -13,6 +13,10 @@ class LoopStartNode(BaseNode[LoopStartNodeData]): _node_data_cls = LoopStartNodeData _node_type = NodeType.LOOP_START + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: """ Run the node. diff --git a/api/core/workflow/nodes/node_mapping.py b/api/core/workflow/nodes/node_mapping.py index 1f1be59542..67cc884f20 100644 --- a/api/core/workflow/nodes/node_mapping.py +++ b/api/core/workflow/nodes/node_mapping.py @@ -25,6 +25,11 @@ from core.workflow.nodes.variable_assigner.v2 import VariableAssignerNode as Var LATEST_VERSION = "latest" +# NOTE(QuantumGhost): This should be in sync with subclasses of BaseNode. +# Specifically, if you have introduced new node types, you should add them here. +# +# TODO(QuantumGhost): This could be automated with either metaclass or `__init_subclass__` +# hook. Try to avoid duplication of node information. NODE_TYPE_CLASSES_MAPPING: Mapping[NodeType, Mapping[str, type[BaseNode]]] = { NodeType.START: { LATEST_VERSION: StartNode, diff --git a/api/core/workflow/nodes/parameter_extractor/entities.py b/api/core/workflow/nodes/parameter_extractor/entities.py index 369eb13b04..916778d167 100644 --- a/api/core/workflow/nodes/parameter_extractor/entities.py +++ b/api/core/workflow/nodes/parameter_extractor/entities.py @@ -7,6 +7,10 @@ from core.workflow.nodes.base import BaseNodeData from core.workflow.nodes.llm import ModelConfig, VisionConfig +class _ParameterConfigError(Exception): + pass + + class ParameterConfig(BaseModel): """ Parameter Config. @@ -27,6 +31,19 @@ class ParameterConfig(BaseModel): raise ValueError("Invalid parameter name, __reason and __is_success are reserved") return str(value) + def is_array_type(self) -> bool: + return self.type in ("array[string]", "array[number]", "array[object]") + + def element_type(self) -> Literal["string", "number", "object"]: + if self.type == "array[number]": + return "number" + elif self.type == "array[string]": + return "string" + elif self.type == "array[object]": + return "object" + else: + raise _ParameterConfigError(f"{self.type} is not array type.") + class ParameterExtractorNodeData(BaseNodeData): """ diff --git a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py index 2552784762..8d6c2d0a5c 100644 --- a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py +++ b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py @@ -25,6 +25,7 @@ from core.prompt.advanced_prompt_transform import AdvancedPromptTransform from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate from core.prompt.simple_prompt_transform import ModelMode from core.prompt.utils.prompt_message_util import PromptMessageUtil +from core.variables.types import SegmentType from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus @@ -32,6 +33,7 @@ from core.workflow.nodes.base.node import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.llm import ModelConfig, llm_utils from core.workflow.utils import variable_template_parser +from factories.variable_factory import build_segment_with_type from .entities import ParameterExtractorNodeData from .exc import ( @@ -109,6 +111,10 @@ class ParameterExtractorNode(BaseNode): } } + @classmethod + def version(cls) -> str: + return "1" + def _run(self): """ Run the node. @@ -584,28 +590,30 @@ class ParameterExtractorNode(BaseNode): elif parameter.type in {"string", "select"}: if isinstance(result[parameter.name], str): transformed_result[parameter.name] = result[parameter.name] - elif parameter.type.startswith("array"): + elif parameter.is_array_type(): if isinstance(result[parameter.name], list): - nested_type = parameter.type[6:-1] - transformed_result[parameter.name] = [] + nested_type = parameter.element_type() + assert nested_type is not None + segment_value = build_segment_with_type(segment_type=SegmentType(parameter.type), value=[]) + transformed_result[parameter.name] = segment_value for item in result[parameter.name]: if nested_type == "number": if isinstance(item, int | float): - transformed_result[parameter.name].append(item) + segment_value.value.append(item) elif isinstance(item, str): try: if "." in item: - transformed_result[parameter.name].append(float(item)) + segment_value.value.append(float(item)) else: - transformed_result[parameter.name].append(int(item)) + segment_value.value.append(int(item)) except ValueError: pass elif nested_type == "string": if isinstance(item, str): - transformed_result[parameter.name].append(item) + segment_value.value.append(item) elif nested_type == "object": if isinstance(item, dict): - transformed_result[parameter.name].append(item) + segment_value.value.append(item) if parameter.name not in transformed_result: if parameter.type == "number": @@ -615,7 +623,9 @@ class ParameterExtractorNode(BaseNode): elif parameter.type in {"string", "select"}: transformed_result[parameter.name] = "" elif parameter.type.startswith("array"): - transformed_result[parameter.name] = [] + transformed_result[parameter.name] = build_segment_with_type( + segment_type=SegmentType(parameter.type), value=[] + ) return transformed_result diff --git a/api/core/workflow/nodes/start/start_node.py b/api/core/workflow/nodes/start/start_node.py index 8839aec9d6..5ee9bc331f 100644 --- a/api/core/workflow/nodes/start/start_node.py +++ b/api/core/workflow/nodes/start/start_node.py @@ -10,6 +10,10 @@ class StartNode(BaseNode[StartNodeData]): _node_data_cls = StartNodeData _node_type = NodeType.START + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: node_inputs = dict(self.graph_runtime_state.variable_pool.user_inputs) system_inputs = self.graph_runtime_state.variable_pool.system_variables @@ -18,5 +22,6 @@ class StartNode(BaseNode[StartNodeData]): # Set system variables as node outputs. for var in system_inputs: node_inputs[SYSTEM_VARIABLE_NODE_ID + "." + var] = system_inputs[var] + outputs = dict(node_inputs) - return NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=node_inputs, outputs=node_inputs) + return NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=node_inputs, outputs=outputs) diff --git a/api/core/workflow/nodes/template_transform/template_transform_node.py b/api/core/workflow/nodes/template_transform/template_transform_node.py index 476cf7eee4..ba573074c3 100644 --- a/api/core/workflow/nodes/template_transform/template_transform_node.py +++ b/api/core/workflow/nodes/template_transform/template_transform_node.py @@ -28,6 +28,10 @@ class TemplateTransformNode(BaseNode[TemplateTransformNodeData]): "config": {"variables": [{"variable": "arg1", "value_selector": []}], "template": "{{ arg1 }}"}, } + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: # Get variables variables = {} diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py index aaecc7b989..aa15d69931 100644 --- a/api/core/workflow/nodes/tool/tool_node.py +++ b/api/core/workflow/nodes/tool/tool_node.py @@ -12,7 +12,7 @@ from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter from core.tools.errors import ToolInvokeError from core.tools.tool_engine import ToolEngine from core.tools.utils.message_transformer import ToolFileMessageTransformer -from core.variables.segments import ArrayAnySegment +from core.variables.segments import ArrayAnySegment, ArrayFileSegment from core.variables.variables import ArrayAnyVariable from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool @@ -44,6 +44,10 @@ class ToolNode(BaseNode[ToolNodeData]): _node_data_cls = ToolNodeData _node_type = NodeType.TOOL + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> Generator: """ Run the tool node @@ -300,6 +304,7 @@ class ToolNode(BaseNode[ToolNodeData]): variables[variable_name] = variable_value elif message.type == ToolInvokeMessage.MessageType.FILE: assert message.meta is not None + assert isinstance(message.meta, File) files.append(message.meta["file"]) elif message.type == ToolInvokeMessage.MessageType.LOG: assert isinstance(message.message, ToolInvokeMessage.LogMessage) @@ -363,7 +368,7 @@ class ToolNode(BaseNode[ToolNodeData]): yield RunCompletedEvent( run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, - outputs={"text": text, "files": files, "json": json, **variables}, + outputs={"text": text, "files": ArrayFileSegment(value=files), "json": json, **variables}, metadata={ **agent_execution_metadata, WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info, diff --git a/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py b/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py index db3e25b015..96bb3e793a 100644 --- a/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py +++ b/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py @@ -1,3 +1,6 @@ +from collections.abc import Mapping + +from core.variables.segments import Segment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode @@ -9,16 +12,20 @@ class VariableAggregatorNode(BaseNode[VariableAssignerNodeData]): _node_data_cls = VariableAssignerNodeData _node_type = NodeType.VARIABLE_AGGREGATOR + @classmethod + def version(cls) -> str: + return "1" + def _run(self) -> NodeRunResult: # Get variables - outputs = {} + outputs: dict[str, Segment | Mapping[str, Segment]] = {} inputs = {} if not self.node_data.advanced_settings or not self.node_data.advanced_settings.group_enabled: for selector in self.node_data.variables: variable = self.graph_runtime_state.variable_pool.get(selector) if variable is not None: - outputs = {"output": variable.to_object()} + outputs = {"output": variable} inputs = {".".join(selector[1:]): variable.to_object()} break @@ -28,7 +35,7 @@ class VariableAggregatorNode(BaseNode[VariableAssignerNodeData]): variable = self.graph_runtime_state.variable_pool.get(selector) if variable is not None: - outputs[group.group_name] = {"output": variable.to_object()} + outputs[group.group_name] = {"output": variable} inputs[".".join(selector[1:])] = variable.to_object() break diff --git a/api/core/workflow/nodes/variable_assigner/common/helpers.py b/api/core/workflow/nodes/variable_assigner/common/helpers.py index 8031b57fa8..0d2822233e 100644 --- a/api/core/workflow/nodes/variable_assigner/common/helpers.py +++ b/api/core/workflow/nodes/variable_assigner/common/helpers.py @@ -1,19 +1,55 @@ -from sqlalchemy import select -from sqlalchemy.orm import Session +from collections.abc import Mapping, MutableMapping, Sequence +from typing import Any, TypeVar -from core.variables import Variable -from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError -from extensions.ext_database import db -from models import ConversationVariable +from pydantic import BaseModel + +from core.variables import Segment +from core.variables.consts import MIN_SELECTORS_LENGTH +from core.variables.types import SegmentType + +# Use double underscore (`__`) prefix for internal variables +# to minimize risk of collision with user-defined variable names. +_UPDATED_VARIABLES_KEY = "__updated_variables" -def update_conversation_variable(conversation_id: str, variable: Variable): - stmt = select(ConversationVariable).where( - ConversationVariable.id == variable.id, ConversationVariable.conversation_id == conversation_id +class UpdatedVariable(BaseModel): + name: str + selector: Sequence[str] + value_type: SegmentType + new_value: Any + + +_T = TypeVar("_T", bound=MutableMapping[str, Any]) + + +def variable_to_processed_data(selector: Sequence[str], seg: Segment) -> UpdatedVariable: + if len(selector) < MIN_SELECTORS_LENGTH: + raise Exception("selector too short") + node_id, var_name = selector[:2] + return UpdatedVariable( + name=var_name, + selector=list(selector[:2]), + value_type=seg.value_type, + new_value=seg.value, ) - with Session(db.engine) as session: - row = session.scalar(stmt) - if not row: - raise VariableOperatorNodeError("conversation variable not found in the database") - row.data = variable.model_dump_json() - session.commit() + + +def set_updated_variables(m: _T, updates: Sequence[UpdatedVariable]) -> _T: + m[_UPDATED_VARIABLES_KEY] = updates + return m + + +def get_updated_variables(m: Mapping[str, Any]) -> Sequence[UpdatedVariable] | None: + updated_values = m.get(_UPDATED_VARIABLES_KEY, None) + if updated_values is None: + return None + result = [] + for items in updated_values: + if isinstance(items, UpdatedVariable): + result.append(items) + elif isinstance(items, dict): + items = UpdatedVariable.model_validate(items) + result.append(items) + else: + raise TypeError(f"Invalid updated variable: {items}, type={type(items)}") + return result diff --git a/api/core/workflow/nodes/variable_assigner/common/impl.py b/api/core/workflow/nodes/variable_assigner/common/impl.py new file mode 100644 index 0000000000..8f7a44bb62 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/common/impl.py @@ -0,0 +1,38 @@ +from sqlalchemy import Engine, select +from sqlalchemy.orm import Session + +from core.variables.variables import Variable +from models.engine import db +from models.workflow import ConversationVariable + +from .exc import VariableOperatorNodeError + + +class ConversationVariableUpdaterImpl: + _engine: Engine | None + + def __init__(self, engine: Engine | None = None) -> None: + self._engine = engine + + def _get_engine(self) -> Engine: + if self._engine: + return self._engine + return db.engine + + def update(self, conversation_id: str, variable: Variable): + stmt = select(ConversationVariable).where( + ConversationVariable.id == variable.id, ConversationVariable.conversation_id == conversation_id + ) + with Session(self._get_engine()) as session: + row = session.scalar(stmt) + if not row: + raise VariableOperatorNodeError("conversation variable not found in the database") + row.data = variable.model_dump_json() + session.commit() + + def flush(self): + pass + + +def conversation_variable_updater_factory() -> ConversationVariableUpdaterImpl: + return ConversationVariableUpdaterImpl() diff --git a/api/core/workflow/nodes/variable_assigner/v1/node.py b/api/core/workflow/nodes/variable_assigner/v1/node.py index 835e1d77b5..be5083c9c1 100644 --- a/api/core/workflow/nodes/variable_assigner/v1/node.py +++ b/api/core/workflow/nodes/variable_assigner/v1/node.py @@ -1,4 +1,9 @@ +from collections.abc import Callable, Mapping, Sequence +from typing import TYPE_CHECKING, Any, Optional, TypeAlias + from core.variables import SegmentType, Variable +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID +from core.workflow.conversation_variable_updater import ConversationVariableUpdater from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode @@ -7,16 +12,71 @@ from core.workflow.nodes.variable_assigner.common import helpers as common_helpe from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError from factories import variable_factory +from ..common.impl import conversation_variable_updater_factory from .node_data import VariableAssignerData, WriteMode +if TYPE_CHECKING: + from core.workflow.graph_engine import Graph, GraphInitParams, GraphRuntimeState + + +_CONV_VAR_UPDATER_FACTORY: TypeAlias = Callable[[], ConversationVariableUpdater] + class VariableAssignerNode(BaseNode[VariableAssignerData]): _node_data_cls = VariableAssignerData _node_type = NodeType.VARIABLE_ASSIGNER + _conv_var_updater_factory: _CONV_VAR_UPDATER_FACTORY + + def __init__( + self, + id: str, + config: Mapping[str, Any], + graph_init_params: "GraphInitParams", + graph: "Graph", + graph_runtime_state: "GraphRuntimeState", + previous_node_id: Optional[str] = None, + thread_pool_id: Optional[str] = None, + conv_var_updater_factory: _CONV_VAR_UPDATER_FACTORY = conversation_variable_updater_factory, + ) -> None: + super().__init__( + id=id, + config=config, + graph_init_params=graph_init_params, + graph=graph, + graph_runtime_state=graph_runtime_state, + previous_node_id=previous_node_id, + thread_pool_id=thread_pool_id, + ) + self._conv_var_updater_factory = conv_var_updater_factory + + @classmethod + def version(cls) -> str: + return "1" + + @classmethod + def _extract_variable_selector_to_variable_mapping( + cls, + *, + graph_config: Mapping[str, Any], + node_id: str, + node_data: VariableAssignerData, + ) -> Mapping[str, Sequence[str]]: + mapping = {} + assigned_variable_node_id = node_data.assigned_variable_selector[0] + if assigned_variable_node_id == CONVERSATION_VARIABLE_NODE_ID: + selector_key = ".".join(node_data.assigned_variable_selector) + key = f"{node_id}.#{selector_key}#" + mapping[key] = node_data.assigned_variable_selector + + selector_key = ".".join(node_data.input_variable_selector) + key = f"{node_id}.#{selector_key}#" + mapping[key] = node_data.input_variable_selector + return mapping def _run(self) -> NodeRunResult: + assigned_variable_selector = self.node_data.assigned_variable_selector # Should be String, Number, Object, ArrayString, ArrayNumber, ArrayObject - original_variable = self.graph_runtime_state.variable_pool.get(self.node_data.assigned_variable_selector) + original_variable = self.graph_runtime_state.variable_pool.get(assigned_variable_selector) if not isinstance(original_variable, Variable): raise VariableOperatorNodeError("assigned variable not found") @@ -44,20 +104,28 @@ class VariableAssignerNode(BaseNode[VariableAssignerData]): raise VariableOperatorNodeError(f"unsupported write mode: {self.node_data.write_mode}") # Over write the variable. - self.graph_runtime_state.variable_pool.add(self.node_data.assigned_variable_selector, updated_variable) + self.graph_runtime_state.variable_pool.add(assigned_variable_selector, updated_variable) # TODO: Move database operation to the pipeline. # Update conversation variable. conversation_id = self.graph_runtime_state.variable_pool.get(["sys", "conversation_id"]) if not conversation_id: raise VariableOperatorNodeError("conversation_id not found") - common_helpers.update_conversation_variable(conversation_id=conversation_id.text, variable=updated_variable) + conv_var_updater = self._conv_var_updater_factory() + conv_var_updater.update(conversation_id=conversation_id.text, variable=updated_variable) + conv_var_updater.flush() + updated_variables = [common_helpers.variable_to_processed_data(assigned_variable_selector, updated_variable)] return NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs={ "value": income_value.to_object(), }, + # NOTE(QuantumGhost): although only one variable is updated in `v1.VariableAssignerNode`, + # we still set `output_variables` as a list to ensure the schema of output is + # compatible with `v2.VariableAssignerNode`. + process_data=common_helpers.set_updated_variables({}, updated_variables), + outputs={}, ) diff --git a/api/core/workflow/nodes/variable_assigner/v2/entities.py b/api/core/workflow/nodes/variable_assigner/v2/entities.py index 01df33b6d4..d93affcd15 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/entities.py +++ b/api/core/workflow/nodes/variable_assigner/v2/entities.py @@ -12,6 +12,12 @@ class VariableOperationItem(BaseModel): variable_selector: Sequence[str] input_type: InputType operation: Operation + # NOTE(QuantumGhost): The `value` field serves multiple purposes depending on context: + # + # 1. For CONSTANT input_type: Contains the literal value to be used in the operation. + # 2. For VARIABLE input_type: Initially contains the selector of the source variable. + # 3. During the variable updating procedure: The `value` field is reassigned to hold + # the resolved actual value that will be applied to the target variable. value: Any | None = None diff --git a/api/core/workflow/nodes/variable_assigner/v2/exc.py b/api/core/workflow/nodes/variable_assigner/v2/exc.py index b67af6d73c..fd6c304a9a 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/exc.py +++ b/api/core/workflow/nodes/variable_assigner/v2/exc.py @@ -29,3 +29,8 @@ class InvalidInputValueError(VariableOperatorNodeError): class ConversationIDNotFoundError(VariableOperatorNodeError): def __init__(self): super().__init__("conversation_id not found") + + +class InvalidDataError(VariableOperatorNodeError): + def __init__(self, message: str) -> None: + super().__init__(message) diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py index 8759a55b34..9292da6f1c 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/node.py +++ b/api/core/workflow/nodes/variable_assigner/v2/node.py @@ -1,34 +1,84 @@ import json -from collections.abc import Sequence -from typing import Any, cast +from collections.abc import Callable, Mapping, MutableMapping, Sequence +from typing import Any, TypeAlias, cast from core.app.entities.app_invoke_entities import InvokeFrom from core.variables import SegmentType, Variable +from core.variables.consts import MIN_SELECTORS_LENGTH from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID +from core.workflow.conversation_variable_updater import ConversationVariableUpdater from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.variable_assigner.common import helpers as common_helpers from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError +from core.workflow.nodes.variable_assigner.common.impl import conversation_variable_updater_factory from . import helpers from .constants import EMPTY_VALUE_MAPPING -from .entities import VariableAssignerNodeData +from .entities import VariableAssignerNodeData, VariableOperationItem from .enums import InputType, Operation from .exc import ( ConversationIDNotFoundError, InputTypeNotSupportedError, + InvalidDataError, InvalidInputValueError, OperationNotSupportedError, VariableNotFoundError, ) +_CONV_VAR_UPDATER_FACTORY: TypeAlias = Callable[[], ConversationVariableUpdater] + + +def _target_mapping_from_item(mapping: MutableMapping[str, Sequence[str]], node_id: str, item: VariableOperationItem): + selector_node_id = item.variable_selector[0] + if selector_node_id != CONVERSATION_VARIABLE_NODE_ID: + return + selector_str = ".".join(item.variable_selector) + key = f"{node_id}.#{selector_str}#" + mapping[key] = item.variable_selector + + +def _source_mapping_from_item(mapping: MutableMapping[str, Sequence[str]], node_id: str, item: VariableOperationItem): + # Keep this in sync with the logic in _run methods... + if item.input_type != InputType.VARIABLE: + return + selector = item.value + if not isinstance(selector, list): + raise InvalidDataError(f"selector is not a list, {node_id=}, {item=}") + if len(selector) < MIN_SELECTORS_LENGTH: + raise InvalidDataError(f"selector too short, {node_id=}, {item=}") + selector_str = ".".join(selector) + key = f"{node_id}.#{selector_str}#" + mapping[key] = selector + class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): _node_data_cls = VariableAssignerNodeData _node_type = NodeType.VARIABLE_ASSIGNER + def _conv_var_updater_factory(self) -> ConversationVariableUpdater: + return conversation_variable_updater_factory() + + @classmethod + def version(cls) -> str: + return "2" + + @classmethod + def _extract_variable_selector_to_variable_mapping( + cls, + *, + graph_config: Mapping[str, Any], + node_id: str, + node_data: VariableAssignerNodeData, + ) -> Mapping[str, Sequence[str]]: + var_mapping: dict[str, Sequence[str]] = {} + for item in node_data.items: + _target_mapping_from_item(var_mapping, node_id, item) + _source_mapping_from_item(var_mapping, node_id, item) + return var_mapping + def _run(self) -> NodeRunResult: inputs = self.node_data.model_dump() process_data: dict[str, Any] = {} @@ -114,6 +164,7 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): # remove the duplicated items first. updated_variable_selectors = list(set(map(tuple, updated_variable_selectors))) + conv_var_updater = self._conv_var_updater_factory() # Update variables for selector in updated_variable_selectors: variable = self.graph_runtime_state.variable_pool.get(selector) @@ -128,15 +179,23 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): raise ConversationIDNotFoundError else: conversation_id = conversation_id.value - common_helpers.update_conversation_variable( + conv_var_updater.update( conversation_id=cast(str, conversation_id), variable=variable, ) + conv_var_updater.flush() + updated_variables = [ + common_helpers.variable_to_processed_data(selector, seg) + for selector in updated_variable_selectors + if (seg := self.graph_runtime_state.variable_pool.get(selector)) is not None + ] + process_data = common_helpers.set_updated_variables(process_data, updated_variables) return NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=inputs, process_data=process_data, + outputs={}, ) def _handle_item( diff --git a/api/core/workflow/variable_loader.py b/api/core/workflow/variable_loader.py new file mode 100644 index 0000000000..4842ee00a5 --- /dev/null +++ b/api/core/workflow/variable_loader.py @@ -0,0 +1,79 @@ +import abc +from collections.abc import Mapping, Sequence +from typing import Any, Protocol + +from core.variables import Variable +from core.workflow.entities.variable_pool import VariablePool + + +class VariableLoader(Protocol): + """Interface for loading variables based on selectors. + + A `VariableLoader` is responsible for retrieving additional variables required during the execution + of a single node, which are not provided as user inputs. + + NOTE(QuantumGhost): Typically, all variables loaded by a `VariableLoader` should belong to the same + application and share the same `app_id`. However, this interface does not enforce that constraint, + and the `app_id` parameter is intentionally omitted from `load_variables` to achieve separation of + concern and allow for flexible implementations. + + Implementations of `VariableLoader` should almost always have an `app_id` parameter in + their constructor. + + TODO(QuantumGhost): this is a temporally workaround. If we can move the creation of node instance into + `WorkflowService.single_step_run`, we may get rid of this interface. + """ + + @abc.abstractmethod + def load_variables(self, selectors: list[list[str]]) -> list[Variable]: + """Load variables based on the provided selectors. If the selectors are empty, + this method should return an empty list. + + The order of the returned variables is not guaranteed. If the caller wants to ensure + a specific order, they should sort the returned list themselves. + + :param: selectors: a list of string list, each inner list should have at least two elements: + - the first element is the node ID, + - the second element is the variable name. + :return: a list of Variable objects that match the provided selectors. + """ + pass + + +class _DummyVariableLoader(VariableLoader): + """A dummy implementation of VariableLoader that does not load any variables. + Serves as a placeholder when no variable loading is needed. + """ + + def load_variables(self, selectors: list[list[str]]) -> list[Variable]: + return [] + + +DUMMY_VARIABLE_LOADER = _DummyVariableLoader() + + +def load_into_variable_pool( + variable_loader: VariableLoader, + variable_pool: VariablePool, + variable_mapping: Mapping[str, Sequence[str]], + user_inputs: Mapping[str, Any], +): + # Loading missing variable from draft var here, and set it into + # variable_pool. + variables_to_load: list[list[str]] = [] + for key, selector in variable_mapping.items(): + # NOTE(QuantumGhost): this logic needs to be in sync with + # `WorkflowEntry.mapping_user_inputs_to_variable_pool`. + node_variable_list = key.split(".") + if len(node_variable_list) < 1: + raise ValueError(f"Invalid variable key: {key}. It should have at least one element.") + if key in user_inputs: + continue + node_variable_key = ".".join(node_variable_list[1:]) + if node_variable_key in user_inputs: + continue + if variable_pool.get(selector) is None: + variables_to_load.append(list(selector)) + loaded = variable_loader.load_variables(variables_to_load) + for var in loaded: + variable_pool.add(var.selector, var) diff --git a/api/core/workflow/workflow_cycle_manager.py b/api/core/workflow/workflow_cycle_manager.py index b88f9edd03..6ee562fc8d 100644 --- a/api/core/workflow/workflow_cycle_manager.py +++ b/api/core/workflow/workflow_cycle_manager.py @@ -92,7 +92,7 @@ class WorkflowCycleManager: ) -> WorkflowExecution: workflow_execution = self._get_workflow_execution_or_raise_error(workflow_run_id) - outputs = WorkflowEntry.handle_special_values(outputs) + # outputs = WorkflowEntry.handle_special_values(outputs) workflow_execution.status = WorkflowExecutionStatus.SUCCEEDED workflow_execution.outputs = outputs or {} @@ -125,7 +125,7 @@ class WorkflowCycleManager: trace_manager: Optional[TraceQueueManager] = None, ) -> WorkflowExecution: execution = self._get_workflow_execution_or_raise_error(workflow_run_id) - outputs = WorkflowEntry.handle_special_values(dict(outputs) if outputs else None) + # outputs = WorkflowEntry.handle_special_values(dict(outputs) if outputs else None) execution.status = WorkflowExecutionStatus.PARTIAL_SUCCEEDED execution.outputs = outputs or {} @@ -242,9 +242,9 @@ class WorkflowCycleManager: raise ValueError(f"Domain node execution not found: {event.node_execution_id}") # Process data - inputs = WorkflowEntry.handle_special_values(event.inputs) - process_data = WorkflowEntry.handle_special_values(event.process_data) - outputs = WorkflowEntry.handle_special_values(event.outputs) + inputs = event.inputs + process_data = event.process_data + outputs = event.outputs # Convert metadata keys to strings execution_metadata_dict = {} @@ -289,7 +289,7 @@ class WorkflowCycleManager: # Process data inputs = WorkflowEntry.handle_special_values(event.inputs) process_data = WorkflowEntry.handle_special_values(event.process_data) - outputs = WorkflowEntry.handle_special_values(event.outputs) + outputs = event.outputs # Convert metadata keys to strings execution_metadata_dict = {} @@ -326,7 +326,7 @@ class WorkflowCycleManager: finished_at = datetime.now(UTC).replace(tzinfo=None) elapsed_time = (finished_at - created_at).total_seconds() inputs = WorkflowEntry.handle_special_values(event.inputs) - outputs = WorkflowEntry.handle_special_values(event.outputs) + outputs = event.outputs # Convert metadata keys to strings origin_metadata = { diff --git a/api/core/workflow/workflow_entry.py b/api/core/workflow/workflow_entry.py index 7648947fca..182c54fa77 100644 --- a/api/core/workflow/workflow_entry.py +++ b/api/core/workflow/workflow_entry.py @@ -21,6 +21,7 @@ from core.workflow.nodes import NodeType from core.workflow.nodes.base import BaseNode from core.workflow.nodes.event import NodeEvent from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING +from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader, load_into_variable_pool from factories import file_factory from models.enums import UserFrom from models.workflow import ( @@ -119,7 +120,9 @@ class WorkflowEntry: workflow: Workflow, node_id: str, user_id: str, - user_inputs: dict, + user_inputs: Mapping[str, Any], + variable_pool: VariablePool, + variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER, ) -> tuple[BaseNode, Generator[NodeEvent | InNodeEvent, None, None]]: """ Single step run workflow node @@ -129,29 +132,14 @@ class WorkflowEntry: :param user_inputs: user inputs :return: """ - # fetch node info from workflow graph - workflow_graph = workflow.graph_dict - if not workflow_graph: - raise ValueError("workflow graph not found") - - nodes = workflow_graph.get("nodes") - if not nodes: - raise ValueError("nodes not found in workflow graph") - - # fetch node config from node id - try: - node_config = next(filter(lambda node: node["id"] == node_id, nodes)) - except StopIteration: - raise ValueError("node id not found in workflow graph") + node_config = workflow.get_node_config_by_id(node_id) + node_config_data = node_config.get("data", {}) # Get node class - node_type = NodeType(node_config.get("data", {}).get("type")) - node_version = node_config.get("data", {}).get("version", "1") + node_type = NodeType(node_config_data.get("type")) + node_version = node_config_data.get("version", "1") node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version] - # init variable pool - variable_pool = VariablePool(environment_variables=workflow.environment_variables) - # init graph graph = Graph.init(graph_config=workflow.graph_dict) @@ -182,16 +170,33 @@ class WorkflowEntry: except NotImplementedError: variable_mapping = {} + # Loading missing variable from draft var here, and set it into + # variable_pool. + load_into_variable_pool( + variable_loader=variable_loader, + variable_pool=variable_pool, + variable_mapping=variable_mapping, + user_inputs=user_inputs, + ) + cls.mapping_user_inputs_to_variable_pool( variable_mapping=variable_mapping, user_inputs=user_inputs, variable_pool=variable_pool, tenant_id=workflow.tenant_id, ) + try: # run node generator = node_instance.run() except Exception as e: + logger.exception( + "error while running node_instance, workflow_id=%s, node_id=%s, type=%s, version=%s", + workflow.id, + node_instance.id, + node_instance.node_type, + node_instance.version(), + ) raise WorkflowNodeRunFailedError(node_instance=node_instance, error=str(e)) return node_instance, generator @@ -294,10 +299,20 @@ class WorkflowEntry: return node_instance, generator except Exception as e: + logger.exception( + "error while running node_instance, workflow_id=%s, node_id=%s, type=%s, version=%s", + node_instance.id, + node_instance.node_type, + node_instance.version(), + ) raise WorkflowNodeRunFailedError(node_instance=node_instance, error=str(e)) @staticmethod def handle_special_values(value: Optional[Mapping[str, Any]]) -> Mapping[str, Any] | None: + # NOTE(QuantumGhost): Avoid using this function in new code. + # Keep values structured as long as possible and only convert to dict + # immediately before serialization (e.g., JSON serialization) to maintain + # data integrity and type information. result = WorkflowEntry._handle_special_values(value) return result if isinstance(result, Mapping) or result is None else dict(result) @@ -324,10 +339,17 @@ class WorkflowEntry: cls, *, variable_mapping: Mapping[str, Sequence[str]], - user_inputs: dict, + user_inputs: Mapping[str, Any], variable_pool: VariablePool, tenant_id: str, ) -> None: + # NOTE(QuantumGhost): This logic should remain synchronized with + # the implementation of `load_into_variable_pool`, specifically the logic about + # variable existence checking. + + # WARNING(QuantumGhost): The semantics of this method are not clearly defined, + # and multiple parts of the codebase depend on its current behavior. + # Modify with caution. for node_variable, variable_selector in variable_mapping.items(): # fetch node id and variable key from node_variable node_variable_list = node_variable.split(".") diff --git a/api/core/workflow/workflow_type_encoder.py b/api/core/workflow/workflow_type_encoder.py new file mode 100644 index 0000000000..0123fdac18 --- /dev/null +++ b/api/core/workflow/workflow_type_encoder.py @@ -0,0 +1,49 @@ +import json +from collections.abc import Mapping +from typing import Any + +from pydantic import BaseModel + +from core.file.models import File +from core.variables import Segment + + +class WorkflowRuntimeTypeEncoder(json.JSONEncoder): + def default(self, o: Any): + if isinstance(o, Segment): + return o.value + elif isinstance(o, File): + return o.to_dict() + elif isinstance(o, BaseModel): + return o.model_dump(mode="json") + else: + return super().default(o) + + +class WorkflowRuntimeTypeConverter: + def to_json_encodable(self, value: Mapping[str, Any] | None) -> Mapping[str, Any] | None: + result = self._to_json_encodable_recursive(value) + return result if isinstance(result, Mapping) or result is None else dict(result) + + def _to_json_encodable_recursive(self, value: Any) -> Any: + if value is None: + return value + if isinstance(value, (bool, int, str, float)): + return value + if isinstance(value, Segment): + return self._to_json_encodable_recursive(value.value) + if isinstance(value, File): + return value.to_dict() + if isinstance(value, BaseModel): + return value.model_dump(mode="json") + if isinstance(value, dict): + res = {} + for k, v in value.items(): + res[k] = self._to_json_encodable_recursive(v) + return res + if isinstance(value, list): + res_list = [] + for item in value: + res_list.append(self._to_json_encodable_recursive(item)) + return res_list + return value diff --git a/api/extensions/ext_mail.py b/api/extensions/ext_mail.py index 84bc12eca0..df5d8a9c11 100644 --- a/api/extensions/ext_mail.py +++ b/api/extensions/ext_mail.py @@ -54,6 +54,15 @@ class Mail: use_tls=dify_config.SMTP_USE_TLS, opportunistic_tls=dify_config.SMTP_OPPORTUNISTIC_TLS, ) + case "sendgrid": + from libs.sendgrid import SendGridClient + + if not dify_config.SENDGRID_API_KEY: + raise ValueError("SENDGRID_API_KEY is required for SendGrid mail type") + + self._client = SendGridClient( + sendgrid_api_key=dify_config.SENDGRID_API_KEY, _from=dify_config.MAIL_DEFAULT_SEND_FROM or "" + ) case _: raise ValueError("Unsupported mail type {}".format(mail_type)) diff --git a/api/factories/file_factory.py b/api/factories/file_factory.py index 52f119936f..e0beef40c6 100644 --- a/api/factories/file_factory.py +++ b/api/factories/file_factory.py @@ -5,6 +5,7 @@ from typing import Any, cast import httpx from sqlalchemy import select +from sqlalchemy.orm import Session from constants import AUDIO_EXTENSIONS, DOCUMENT_EXTENSIONS, IMAGE_EXTENSIONS, VIDEO_EXTENSIONS from core.file import File, FileBelongsTo, FileTransferMethod, FileType, FileUploadConfig, helpers @@ -91,6 +92,8 @@ def build_from_mappings( tenant_id: str, strict_type_validation: bool = False, ) -> Sequence[File]: + # TODO(QuantumGhost): Performance concern - each mapping triggers a separate database query. + # Implement batch processing to reduce database load when handling multiple files. files = [ build_from_mapping( mapping=mapping, @@ -377,3 +380,75 @@ def _get_file_type_by_mimetype(mime_type: str) -> FileType | None: def get_file_type_by_mime_type(mime_type: str) -> FileType: return _get_file_type_by_mimetype(mime_type) or FileType.CUSTOM + + +class StorageKeyLoader: + """FileKeyLoader load the storage key from database for a list of files. + This loader is batched, the + """ + + def __init__(self, session: Session, tenant_id: str) -> None: + self._session = session + self._tenant_id = tenant_id + + def _load_upload_files(self, upload_file_ids: Sequence[uuid.UUID]) -> Mapping[uuid.UUID, UploadFile]: + stmt = select(UploadFile).where( + UploadFile.id.in_(upload_file_ids), + UploadFile.tenant_id == self._tenant_id, + ) + + return {uuid.UUID(i.id): i for i in self._session.scalars(stmt)} + + def _load_tool_files(self, tool_file_ids: Sequence[uuid.UUID]) -> Mapping[uuid.UUID, ToolFile]: + stmt = select(ToolFile).where( + ToolFile.id.in_(tool_file_ids), + ToolFile.tenant_id == self._tenant_id, + ) + return {uuid.UUID(i.id): i for i in self._session.scalars(stmt)} + + def load_storage_keys(self, files: Sequence[File]): + """Loads storage keys for a sequence of files by retrieving the corresponding + `UploadFile` or `ToolFile` records from the database based on their transfer method. + + This method doesn't modify the input sequence structure but updates the `_storage_key` + property of each file object by extracting the relevant key from its database record. + + Performance note: This is a batched operation where database query count remains constant + regardless of input size. However, for optimal performance, input sequences should contain + fewer than 1000 files. For larger collections, split into smaller batches and process each + batch separately. + """ + + upload_file_ids: list[uuid.UUID] = [] + tool_file_ids: list[uuid.UUID] = [] + for file in files: + related_model_id = file.related_id + if file.related_id is None: + raise ValueError("file id should not be None.") + if file.tenant_id != self._tenant_id: + err_msg = ( + f"invalid file, expected tenant_id={self._tenant_id}, " + f"got tenant_id={file.tenant_id}, file_id={file.id}, related_model_id={related_model_id}" + ) + raise ValueError(err_msg) + model_id = uuid.UUID(related_model_id) + + if file.transfer_method in (FileTransferMethod.LOCAL_FILE, FileTransferMethod.REMOTE_URL): + upload_file_ids.append(model_id) + elif file.transfer_method == FileTransferMethod.TOOL_FILE: + tool_file_ids.append(model_id) + + tool_files = self._load_tool_files(tool_file_ids) + upload_files = self._load_upload_files(upload_file_ids) + for file in files: + model_id = uuid.UUID(file.related_id) + if file.transfer_method in (FileTransferMethod.LOCAL_FILE, FileTransferMethod.REMOTE_URL): + upload_file_row = upload_files.get(model_id) + if upload_file_row is None: + raise ValueError(...) + file._storage_key = upload_file_row.key + elif file.transfer_method == FileTransferMethod.TOOL_FILE: + tool_file_row = tool_files.get(model_id) + if tool_file_row is None: + raise ValueError(...) + file._storage_key = tool_file_row.file_key diff --git a/api/factories/variable_factory.py b/api/factories/variable_factory.py index fa8a90e79f..250ee4695e 100644 --- a/api/factories/variable_factory.py +++ b/api/factories/variable_factory.py @@ -39,11 +39,11 @@ from core.variables.variables import ( from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, ENVIRONMENT_VARIABLE_NODE_ID -class InvalidSelectorError(ValueError): +class UnsupportedSegmentTypeError(Exception): pass -class UnsupportedSegmentTypeError(Exception): +class TypeMismatchError(Exception): pass @@ -114,6 +114,10 @@ def _build_variable_from_mapping(*, mapping: Mapping[str, Any], selector: Sequen return cast(Variable, result) +def infer_segment_type_from_value(value: Any, /) -> SegmentType: + return build_segment(value).value_type + + def build_segment(value: Any, /) -> Segment: if value is None: return NoneSegment() @@ -144,10 +148,80 @@ def build_segment(value: Any, /) -> Segment: case SegmentType.NONE: return ArrayAnySegment(value=value) case _: + # This should be unreachable. raise ValueError(f"not supported value {value}") raise ValueError(f"not supported value {value}") +def build_segment_with_type(segment_type: SegmentType, value: Any) -> Segment: + """ + Build a segment with explicit type checking. + + This function creates a segment from a value while enforcing type compatibility + with the specified segment_type. It provides stricter type validation compared + to the standard build_segment function. + + Args: + segment_type: The expected SegmentType for the resulting segment + value: The value to be converted into a segment + + Returns: + Segment: A segment instance of the appropriate type + + Raises: + TypeMismatchError: If the value type doesn't match the expected segment_type + + Special Cases: + - For empty list [] values, if segment_type is array[*], returns the corresponding array type + - Type validation is performed before segment creation + + Examples: + >>> build_segment_with_type(SegmentType.STRING, "hello") + StringSegment(value="hello") + + >>> build_segment_with_type(SegmentType.ARRAY_STRING, []) + ArrayStringSegment(value=[]) + + >>> build_segment_with_type(SegmentType.STRING, 123) + # Raises TypeMismatchError + """ + # Handle None values + if value is None: + if segment_type == SegmentType.NONE: + return NoneSegment() + else: + raise TypeMismatchError(f"Expected {segment_type}, but got None") + + # Handle empty list special case for array types + if isinstance(value, list) and len(value) == 0: + if segment_type == SegmentType.ARRAY_ANY: + return ArrayAnySegment(value=value) + elif segment_type == SegmentType.ARRAY_STRING: + return ArrayStringSegment(value=value) + elif segment_type == SegmentType.ARRAY_NUMBER: + return ArrayNumberSegment(value=value) + elif segment_type == SegmentType.ARRAY_OBJECT: + return ArrayObjectSegment(value=value) + elif segment_type == SegmentType.ARRAY_FILE: + return ArrayFileSegment(value=value) + else: + raise TypeMismatchError(f"Expected {segment_type}, but got empty list") + + # Build segment using existing logic to infer actual type + inferred_segment = build_segment(value) + inferred_type = inferred_segment.value_type + + # Type compatibility checking + if inferred_type == segment_type: + return inferred_segment + + # Type mismatch - raise error with descriptive message + raise TypeMismatchError( + f"Type mismatch: expected {segment_type}, but value '{value}' " + f"(type: {type(value).__name__}) corresponds to {inferred_type}" + ) + + def segment_to_variable( *, segment: Segment, diff --git a/api/fields/workflow_run_fields.py b/api/fields/workflow_run_fields.py index 74fdf8bd97..a106728e9c 100644 --- a/api/fields/workflow_run_fields.py +++ b/api/fields/workflow_run_fields.py @@ -19,7 +19,6 @@ workflow_run_for_log_fields = { workflow_run_for_list_fields = { "id": fields.String, - "sequence_number": fields.Integer, "version": fields.String, "status": fields.String, "elapsed_time": fields.Float, @@ -36,7 +35,6 @@ advanced_chat_workflow_run_for_list_fields = { "id": fields.String, "conversation_id": fields.String, "message_id": fields.String, - "sequence_number": fields.Integer, "version": fields.String, "status": fields.String, "elapsed_time": fields.Float, @@ -63,7 +61,6 @@ workflow_run_pagination_fields = { workflow_run_detail_fields = { "id": fields.String, - "sequence_number": fields.Integer, "version": fields.String, "graph": fields.Raw(attribute="graph_dict"), "inputs": fields.Raw(attribute="inputs_dict"), diff --git a/api/libs/datetime_utils.py b/api/libs/datetime_utils.py new file mode 100644 index 0000000000..e576a34629 --- /dev/null +++ b/api/libs/datetime_utils.py @@ -0,0 +1,22 @@ +import abc +import datetime +from typing import Protocol + + +class _NowFunction(Protocol): + @abc.abstractmethod + def __call__(self, tz: datetime.timezone | None) -> datetime.datetime: + pass + + +# _now_func is a callable with the _NowFunction signature. +# Its sole purpose is to abstract time retrieval, enabling +# developers to mock this behavior in tests and time-dependent scenarios. +_now_func: _NowFunction = datetime.datetime.now + + +def naive_utc_now() -> datetime.datetime: + """Return a naive datetime object (without timezone information) + representing current UTC time. + """ + return _now_func(datetime.UTC).replace(tzinfo=None) diff --git a/api/libs/flask_utils.py b/api/libs/flask_utils.py new file mode 100644 index 0000000000..4ea2779584 --- /dev/null +++ b/api/libs/flask_utils.py @@ -0,0 +1,65 @@ +import contextvars +from collections.abc import Iterator +from contextlib import contextmanager +from typing import TypeVar + +from flask import Flask, g, has_request_context + +T = TypeVar("T") + + +@contextmanager +def preserve_flask_contexts( + flask_app: Flask, + context_vars: contextvars.Context, +) -> Iterator[None]: + """ + A context manager that handles: + 1. flask-login's UserProxy copy + 2. ContextVars copy + 3. flask_app.app_context() + + This context manager ensures that the Flask application context is properly set up, + the current user is preserved across context boundaries, and any provided context variables + are set within the new context. + + Note: + This manager aims to allow use current_user cross thread and app context, + but it's not the recommend use, it's better to pass user directly in parameters. + + Args: + flask_app: The Flask application instance + context_vars: contextvars.Context object containing context variables to be set in the new context + + Yields: + None + + Example: + ```python + with preserve_flask_contexts(flask_app, context_vars=context_vars): + # Code that needs Flask app context and context variables + # Current user will be preserved if available + ``` + """ + # Set context variables if provided + if context_vars: + for var, val in context_vars.items(): + var.set(val) + + # Save current user before entering new app context + saved_user = None + if has_request_context() and hasattr(g, "_login_user"): + saved_user = g._login_user + + # Enter Flask app context + with flask_app.app_context(): + try: + # Restore user in new app context if it was saved + if saved_user is not None: + g._login_user = saved_user + + # Yield control back to the caller + yield + finally: + # Any cleanup can be added here if needed + pass diff --git a/api/libs/jsonutil.py b/api/libs/jsonutil.py new file mode 100644 index 0000000000..fa29671034 --- /dev/null +++ b/api/libs/jsonutil.py @@ -0,0 +1,11 @@ +import json + +from pydantic import BaseModel + + +class PydanticModelEncoder(json.JSONEncoder): + def default(self, o): + if isinstance(o, BaseModel): + return o.model_dump() + else: + super().default(o) diff --git a/api/libs/sendgrid.py b/api/libs/sendgrid.py new file mode 100644 index 0000000000..5409e3eeeb --- /dev/null +++ b/api/libs/sendgrid.py @@ -0,0 +1,45 @@ +import logging + +import sendgrid # type: ignore +from python_http_client.exceptions import ForbiddenError, UnauthorizedError +from sendgrid.helpers.mail import Content, Email, Mail, To # type: ignore + + +class SendGridClient: + def __init__(self, sendgrid_api_key: str, _from: str): + self.sendgrid_api_key = sendgrid_api_key + self._from = _from + + def send(self, mail: dict): + logging.debug("Sending email with SendGrid") + + try: + _to = mail["to"] + + if not _to: + raise ValueError("SendGridClient: Cannot send email: recipient address is missing.") + + sg = sendgrid.SendGridAPIClient(api_key=self.sendgrid_api_key) + from_email = Email(self._from) + to_email = To(_to) + subject = mail["subject"] + content = Content("text/html", mail["html"]) + mail = Mail(from_email, to_email, subject, content) + mail_json = mail.get() # type: ignore + response = sg.client.mail.send.post(request_body=mail_json) + logging.debug(response.status_code) + logging.debug(response.body) + logging.debug(response.headers) + + except TimeoutError as e: + logging.exception("SendGridClient Timeout occurred while sending email") + raise + except (UnauthorizedError, ForbiddenError) as e: + logging.exception( + "SendGridClient Authentication failed. " + "Verify that your credentials and the 'from' email address are correct" + ) + raise + except Exception as e: + logging.exception(f"SendGridClient Unexpected error occurred while sending email to {_to}") + raise diff --git a/api/migrations/versions/2025_06_19_1633-0ab65e1cc7fa_remove_sequence_number_from_workflow_.py b/api/migrations/versions/2025_06_19_1633-0ab65e1cc7fa_remove_sequence_number_from_workflow_.py new file mode 100644 index 0000000000..29fef77798 --- /dev/null +++ b/api/migrations/versions/2025_06_19_1633-0ab65e1cc7fa_remove_sequence_number_from_workflow_.py @@ -0,0 +1,66 @@ +"""remove sequence_number from workflow_runs + +Revision ID: 0ab65e1cc7fa +Revises: 4474872b0ee6 +Create Date: 2025-06-19 16:33:13.377215 + +""" +from alembic import op +import models as models +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision = '0ab65e1cc7fa' +down_revision = '4474872b0ee6' +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('workflow_runs', schema=None) as batch_op: + batch_op.drop_index(batch_op.f('workflow_run_tenant_app_sequence_idx')) + batch_op.drop_column('sequence_number') + + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + + # WARNING: This downgrade CANNOT recover the original sequence_number values! + # The original sequence numbers are permanently lost after the upgrade. + # This downgrade will regenerate sequence numbers based on created_at order, + # which may result in different values than the original sequence numbers. + # + # If you need to preserve original sequence numbers, use the alternative + # migration approach that creates a backup table before removal. + + # Step 1: Add sequence_number column as nullable first + with op.batch_alter_table('workflow_runs', schema=None) as batch_op: + batch_op.add_column(sa.Column('sequence_number', sa.INTEGER(), autoincrement=False, nullable=True)) + + # Step 2: Populate sequence_number values based on created_at order within each app + # NOTE: This recreates sequence numbering logic but values will be different + # from the original sequence numbers that were removed in the upgrade + connection = op.get_bind() + connection.execute(sa.text(""" + UPDATE workflow_runs + SET sequence_number = subquery.row_num + FROM ( + SELECT id, ROW_NUMBER() OVER ( + PARTITION BY tenant_id, app_id + ORDER BY created_at, id + ) as row_num + FROM workflow_runs + ) subquery + WHERE workflow_runs.id = subquery.id + """)) + + # Step 3: Make the column NOT NULL and add the index + with op.batch_alter_table('workflow_runs', schema=None) as batch_op: + batch_op.alter_column('sequence_number', nullable=False) + batch_op.create_index(batch_op.f('workflow_run_tenant_app_sequence_idx'), ['tenant_id', 'app_id', 'sequence_number'], unique=False) + + # ### end Alembic commands ### diff --git a/api/models/_workflow_exc.py b/api/models/_workflow_exc.py new file mode 100644 index 0000000000..f6271bda47 --- /dev/null +++ b/api/models/_workflow_exc.py @@ -0,0 +1,20 @@ +"""All these exceptions are not meant to be caught by callers.""" + + +class WorkflowDataError(Exception): + """Base class for all workflow data related exceptions. + + This should be used to indicate issues with workflow data integrity, such as + no `graph` configuration, missing `nodes` field in `graph` configuration, or + similar issues. + """ + + pass + + +class NodeNotFoundError(WorkflowDataError): + """Raised when a node with the specified ID is not found in the workflow.""" + + def __init__(self, node_id: str): + super().__init__(f"Node with ID '{node_id}' not found in the workflow.") + self.node_id = node_id diff --git a/api/models/model.py b/api/models/model.py index 229e77134e..75202d9367 100644 --- a/api/models/model.py +++ b/api/models/model.py @@ -10,7 +10,6 @@ from core.plugin.entities.plugin import GenericProviderID from core.tools.entities.tool_entities import ToolProviderType from core.tools.signature import sign_tool_file from core.workflow.entities.workflow_execution import WorkflowExecutionStatus -from services.plugin.plugin_service import PluginService if TYPE_CHECKING: from models.workflow import Workflow @@ -169,6 +168,7 @@ class App(Base): @property def deleted_tools(self) -> list: from core.tools.tool_manager import ToolManager + from services.plugin.plugin_service import PluginService # get agent mode tools app_model_config = self.app_model_config @@ -611,6 +611,14 @@ class InstalledApp(Base): return tenant +class ConversationSource(StrEnum): + """This enumeration is designed for use with `Conversation.from_source`.""" + + # NOTE(QuantumGhost): The enumeration members may not cover all possible cases. + API = "api" + CONSOLE = "console" + + class Conversation(Base): __tablename__ = "conversations" __table_args__ = ( @@ -632,7 +640,14 @@ class Conversation(Base): system_instruction = db.Column(db.Text) system_instruction_tokens = db.Column(db.Integer, nullable=False, server_default=db.text("0")) status = db.Column(db.String(255), nullable=False) + + # The `invoke_from` records how the conversation is created. + # + # Its value corresponds to the members of `InvokeFrom`. + # (api/core/app/entities/app_invoke_entities.py) invoke_from = db.Column(db.String(255), nullable=True) + + # ref: ConversationSource. from_source = db.Column(db.String(255), nullable=False) from_end_user_id = db.Column(StringUUID) from_account_id = db.Column(StringUUID) diff --git a/api/models/workflow.py b/api/models/workflow.py index 2fff045543..7f01135af3 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -7,10 +7,16 @@ from typing import TYPE_CHECKING, Any, Optional, Union from uuid import uuid4 from flask_login import current_user +from sqlalchemy import orm +from core.file.constants import maybe_file_object +from core.file.models import File from core.variables import utils as variable_utils from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID -from factories.variable_factory import build_segment +from core.workflow.nodes.enums import NodeType +from factories.variable_factory import TypeMismatchError, build_segment_with_type + +from ._workflow_exc import NodeNotFoundError, WorkflowDataError if TYPE_CHECKING: from models.model import AppMode @@ -72,6 +78,10 @@ class WorkflowType(Enum): return cls.WORKFLOW if app_mode == AppMode.WORKFLOW else cls.CHAT +class _InvalidGraphDefinitionError(Exception): + pass + + class Workflow(Base): """ Workflow, for `Workflow App` and `Chat App workflow mode`. @@ -136,6 +146,8 @@ class Workflow(Base): "conversation_variables", db.Text, nullable=False, server_default="{}" ) + VERSION_DRAFT = "draft" + @classmethod def new( cls, @@ -179,8 +191,72 @@ class Workflow(Base): @property def graph_dict(self) -> Mapping[str, Any]: + # TODO(QuantumGhost): Consider caching `graph_dict` to avoid repeated JSON decoding. + # + # Using `functools.cached_property` could help, but some code in the codebase may + # modify the returned dict, which can cause issues elsewhere. + # + # For example, changing this property to a cached property led to errors like the + # following when single stepping an `Iteration` node: + # + # Root node id 1748401971780start not found in the graph + # + # There is currently no standard way to make a dict deeply immutable in Python, + # and tracking modifications to the returned dict is difficult. For now, we leave + # the code as-is to avoid these issues. + # + # Currently, the following functions / methods would mutate the returned dict: + # + # - `_get_graph_and_variable_pool_of_single_iteration`. + # - `_get_graph_and_variable_pool_of_single_loop`. return json.loads(self.graph) if self.graph else {} + def get_node_config_by_id(self, node_id: str) -> Mapping[str, Any]: + """Extract a node configuration from the workflow graph by node ID. + A node configuration is a dictionary containing the node's properties, including + the node's id, title, and its data as a dict. + """ + workflow_graph = self.graph_dict + + if not workflow_graph: + raise WorkflowDataError(f"workflow graph not found, workflow_id={self.id}") + + nodes = workflow_graph.get("nodes") + if not nodes: + raise WorkflowDataError("nodes not found in workflow graph") + + try: + node_config = next(filter(lambda node: node["id"] == node_id, nodes)) + except StopIteration: + raise NodeNotFoundError(node_id) + assert isinstance(node_config, dict) + return node_config + + @staticmethod + def get_node_type_from_node_config(node_config: Mapping[str, Any]) -> NodeType: + """Extract type of a node from the node configuration returned by `get_node_config_by_id`.""" + node_config_data = node_config.get("data", {}) + # Get node class + node_type = NodeType(node_config_data.get("type")) + return node_type + + @staticmethod + def get_enclosing_node_type_and_id(node_config: Mapping[str, Any]) -> tuple[NodeType, str] | None: + in_loop = node_config.get("isInLoop", False) + in_iteration = node_config.get("isInIteration", False) + if in_loop: + loop_id = node_config.get("loop_id") + if loop_id is None: + raise _InvalidGraphDefinitionError("invalid graph") + return NodeType.LOOP, loop_id + elif in_iteration: + iteration_id = node_config.get("iteration_id") + if iteration_id is None: + raise _InvalidGraphDefinitionError("invalid graph") + return NodeType.ITERATION, iteration_id + else: + return None + @property def features(self) -> str: """ @@ -376,6 +452,10 @@ class Workflow(Base): ensure_ascii=False, ) + @staticmethod + def version_from_datetime(d: datetime) -> str: + return str(d) + class WorkflowRun(Base): """ @@ -386,7 +466,7 @@ class WorkflowRun(Base): - id (uuid) Run ID - tenant_id (uuid) Workspace ID - app_id (uuid) App ID - - sequence_number (int) Auto-increment sequence number, incremented within the App, starting from 1 + - workflow_id (uuid) Workflow ID - type (string) Workflow type - triggered_from (string) Trigger source @@ -419,13 +499,12 @@ class WorkflowRun(Base): __table_args__ = ( db.PrimaryKeyConstraint("id", name="workflow_run_pkey"), db.Index("workflow_run_triggerd_from_idx", "tenant_id", "app_id", "triggered_from"), - db.Index("workflow_run_tenant_app_sequence_idx", "tenant_id", "app_id", "sequence_number"), ) id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) tenant_id: Mapped[str] = mapped_column(StringUUID) app_id: Mapped[str] = mapped_column(StringUUID) - sequence_number: Mapped[int] = mapped_column() + workflow_id: Mapped[str] = mapped_column(StringUUID) type: Mapped[str] = mapped_column(db.String(255)) triggered_from: Mapped[str] = mapped_column(db.String(255)) @@ -485,7 +564,6 @@ class WorkflowRun(Base): "id": self.id, "tenant_id": self.tenant_id, "app_id": self.app_id, - "sequence_number": self.sequence_number, "workflow_id": self.workflow_id, "type": self.type, "triggered_from": self.triggered_from, @@ -511,7 +589,6 @@ class WorkflowRun(Base): id=data.get("id"), tenant_id=data.get("tenant_id"), app_id=data.get("app_id"), - sequence_number=data.get("sequence_number"), workflow_id=data.get("workflow_id"), type=data.get("type"), triggered_from=data.get("triggered_from"), @@ -838,8 +915,18 @@ def _naive_utc_datetime(): class WorkflowDraftVariable(Base): + """`WorkflowDraftVariable` record variables and outputs generated during + debugging worfklow or chatflow. + + IMPORTANT: This model maintains multiple invariant rules that must be preserved. + Do not instantiate this class directly with the constructor. + + Instead, use the factory methods (`new_conversation_variable`, `new_sys_variable`, + `new_node_variable`) defined below to ensure all invariants are properly maintained. + """ + @staticmethod - def unique_columns() -> list[str]: + def unique_app_id_node_id_name() -> list[str]: return [ "app_id", "node_id", @@ -847,7 +934,9 @@ class WorkflowDraftVariable(Base): ] __tablename__ = "workflow_draft_variables" - __table_args__ = (UniqueConstraint(*unique_columns()),) + __table_args__ = (UniqueConstraint(*unique_app_id_node_id_name()),) + # Required for instance variable annotation. + __allow_unmapped__ = True # id is the unique identifier of a draft variable. id: Mapped[str] = mapped_column(StringUUID, primary_key=True, server_default=db.text("uuid_generate_v4()")) @@ -928,6 +1017,36 @@ class WorkflowDraftVariable(Base): default=None, ) + # Cache for deserialized value + # + # NOTE(QuantumGhost): This field serves two purposes: + # + # 1. Caches deserialized values to reduce repeated parsing costs + # 2. Allows modification of the deserialized value after retrieval, + # particularly important for `File`` variables which require database + # lookups to obtain storage_key and other metadata + # + # Use double underscore prefix for better encapsulation, + # making this attribute harder to access from outside the class. + __value: Segment | None + + def __init__(self, *args, **kwargs): + """ + The constructor of `WorkflowDraftVariable` is not intended for + direct use outside this file. Its solo purpose is setup private state + used by the model instance. + + Please use the factory methods + (`new_conversation_variable`, `new_sys_variable`, `new_node_variable`) + defined below to create instances of this class. + """ + super().__init__(*args, **kwargs) + self.__value = None + + @orm.reconstructor + def _init_on_load(self): + self.__value = None + def get_selector(self) -> list[str]: selector = json.loads(self.selector) if not isinstance(selector, list): @@ -942,15 +1061,92 @@ class WorkflowDraftVariable(Base): def _set_selector(self, value: list[str]): self.selector = json.dumps(value) - def get_value(self) -> Segment | None: - return build_segment(json.loads(self.value)) + def _loads_value(self) -> Segment: + value = json.loads(self.value) + return self.build_segment_with_type(self.value_type, value) + + @staticmethod + def rebuild_file_types(value: Any) -> Any: + # NOTE(QuantumGhost): Temporary workaround for structured data handling. + # By this point, `output` has been converted to dict by + # `WorkflowEntry.handle_special_values`, so we need to + # reconstruct File objects from their serialized form + # to maintain proper variable saving behavior. + # + # Ideally, we should work with structured data objects directly + # rather than their serialized forms. + # However, multiple components in the codebase depend on + # `WorkflowEntry.handle_special_values`, making a comprehensive migration challenging. + if isinstance(value, dict): + if not maybe_file_object(value): + return value + return File.model_validate(value) + elif isinstance(value, list) and value: + first = value[0] + if not maybe_file_object(first): + return value + return [File.model_validate(i) for i in value] + else: + return value + + @classmethod + def build_segment_with_type(cls, segment_type: SegmentType, value: Any) -> Segment: + # Extends `variable_factory.build_segment_with_type` functionality by + # reconstructing `FileSegment`` or `ArrayFileSegment`` objects from + # their serialized dictionary or list representations, respectively. + if segment_type == SegmentType.FILE: + if isinstance(value, File): + return build_segment_with_type(segment_type, value) + elif isinstance(value, dict): + file = cls.rebuild_file_types(value) + return build_segment_with_type(segment_type, file) + else: + raise TypeMismatchError(f"expected dict or File for FileSegment, got {type(value)}") + if segment_type == SegmentType.ARRAY_FILE: + if not isinstance(value, list): + raise TypeMismatchError(f"expected list for ArrayFileSegment, got {type(value)}") + file_list = cls.rebuild_file_types(value) + return build_segment_with_type(segment_type=segment_type, value=file_list) + + return build_segment_with_type(segment_type=segment_type, value=value) + + def get_value(self) -> Segment: + """Decode the serialized value into its corresponding `Segment` object. + + This method caches the result, so repeated calls will return the same + object instance without re-parsing the serialized data. + + If you need to modify the returned `Segment`, use `value.model_copy()` + to create a copy first to avoid affecting the cached instance. + + For more information about the caching mechanism, see the documentation + of the `__value` field. + + Returns: + Segment: The deserialized value as a Segment object. + """ + + if self.__value is not None: + return self.__value + value = self._loads_value() + self.__value = value + return value def set_name(self, name: str): self.name = name self._set_selector([self.node_id, name]) def set_value(self, value: Segment): - self.value = json.dumps(value.value) + """Updates the `value` and corresponding `value_type` fields in the database model. + + This method also stores the provided Segment object in the deserialized cache + without creating a copy, allowing for efficient value access. + + Args: + value: The Segment object to store as the variable's value. + """ + self.__value = value + self.value = json.dumps(value, cls=variable_utils.SegmentJSONEncoder) self.value_type = value.value_type def get_node_id(self) -> str | None: @@ -976,6 +1172,7 @@ class WorkflowDraftVariable(Base): node_id: str, name: str, value: Segment, + node_execution_id: str | None, description: str = "", ) -> "WorkflowDraftVariable": variable = WorkflowDraftVariable() @@ -987,6 +1184,7 @@ class WorkflowDraftVariable(Base): variable.name = name variable.set_value(value) variable._set_selector(list(variable_utils.to_selector(node_id, name))) + variable.node_execution_id = node_execution_id return variable @classmethod @@ -996,13 +1194,17 @@ class WorkflowDraftVariable(Base): app_id: str, name: str, value: Segment, + description: str = "", ) -> "WorkflowDraftVariable": variable = cls._new( app_id=app_id, node_id=CONVERSATION_VARIABLE_NODE_ID, name=name, value=value, + description=description, + node_execution_id=None, ) + variable.editable = True return variable @classmethod @@ -1012,9 +1214,16 @@ class WorkflowDraftVariable(Base): app_id: str, name: str, value: Segment, + node_execution_id: str, editable: bool = False, ) -> "WorkflowDraftVariable": - variable = cls._new(app_id=app_id, node_id=SYSTEM_VARIABLE_NODE_ID, name=name, value=value) + variable = cls._new( + app_id=app_id, + node_id=SYSTEM_VARIABLE_NODE_ID, + name=name, + node_execution_id=node_execution_id, + value=value, + ) variable.editable = editable return variable @@ -1026,11 +1235,19 @@ class WorkflowDraftVariable(Base): node_id: str, name: str, value: Segment, + node_execution_id: str, visible: bool = True, + editable: bool = True, ) -> "WorkflowDraftVariable": - variable = cls._new(app_id=app_id, node_id=node_id, name=name, value=value) + variable = cls._new( + app_id=app_id, + node_id=node_id, + name=name, + node_execution_id=node_execution_id, + value=value, + ) variable.visible = visible - variable.editable = True + variable.editable = editable return variable @property diff --git a/api/mypy.ini b/api/mypy.ini index 12fe529b08..6836b2602b 100644 --- a/api/mypy.ini +++ b/api/mypy.ini @@ -18,4 +18,3 @@ ignore_missing_imports=True [mypy-flask_restful.inputs] ignore_missing_imports=True - diff --git a/api/pyproject.toml b/api/pyproject.toml index 9631586ed4..fed0128b90 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -81,6 +81,7 @@ dependencies = [ "weave~=0.51.0", "yarl~=1.18.3", "webvtt-py~=0.5.1", + "sendgrid~=6.12.3", ] # Before adding new dependency, consider place it in # alphabet order (a-z) and suitable group. @@ -148,6 +149,7 @@ dev = [ "types-ujson>=5.10.0", "boto3-stubs>=1.38.20", "types-jmespath>=1.0.2.20240106", + "hypothesis>=6.131.15", "types_pyOpenSSL>=24.1.0", "types_cffi>=1.17.0", "types_setuptools>=80.9.0", @@ -202,4 +204,5 @@ vdb = [ "volcengine-compat~=1.0.0", "weaviate-client~=3.24.0", "xinference-client~=1.2.2", + "mo-vector~=0.1.13", ] diff --git a/api/services/app_dsl_service.py b/api/services/app_dsl_service.py index d2875180d8..20257fa345 100644 --- a/api/services/app_dsl_service.py +++ b/api/services/app_dsl_service.py @@ -32,6 +32,7 @@ from models import Account, App, AppMode from models.model import AppModelConfig from models.workflow import Workflow from services.plugin.dependencies_analysis import DependenciesAnalysisService +from services.workflow_draft_variable_service import WorkflowDraftVariableService from services.workflow_service import WorkflowService logger = logging.getLogger(__name__) @@ -292,6 +293,8 @@ class AppDslService: dependencies=check_dependencies_pending_data, ) + draft_var_srv = WorkflowDraftVariableService(session=self._session) + draft_var_srv.delete_workflow_variables(app_id=app.id) return Import( id=import_id, status=status, @@ -421,7 +424,7 @@ class AppDslService: # Set icon type icon_type_value = icon_type or app_data.get("icon_type") - if icon_type_value in ["emoji", "link"]: + if icon_type_value in ["emoji", "link", "image"]: icon_type = icon_type_value else: icon_type = "emoji" diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index e98b47921f..49ca98624a 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -59,6 +59,7 @@ from services.external_knowledge_service import ExternalDatasetService from services.feature_service import FeatureModel, FeatureService from services.tag_service import TagService from services.vector_service import VectorService +from tasks.add_document_to_index_task import add_document_to_index_task from tasks.batch_clean_document_task import batch_clean_document_task from tasks.clean_notion_document_task import clean_notion_document_task from tasks.deal_dataset_vector_index_task import deal_dataset_vector_index_task @@ -70,6 +71,7 @@ from tasks.document_indexing_update_task import document_indexing_update_task from tasks.duplicate_document_indexing_task import duplicate_document_indexing_task from tasks.enable_segments_to_index_task import enable_segments_to_index_task from tasks.recover_document_indexing_task import recover_document_indexing_task +from tasks.remove_document_from_index_task import remove_document_from_index_task from tasks.retry_document_indexing_task import retry_document_indexing_task from tasks.sync_website_document_indexing_task import sync_website_document_indexing_task @@ -434,7 +436,7 @@ class DatasetService: raise ValueError(ex.description) filtered_data["updated_by"] = user.id - filtered_data["updated_at"] = datetime.datetime.now() + filtered_data["updated_at"] = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) # update Retrieval model filtered_data["retrieval_model"] = data["retrieval_model"] @@ -976,12 +978,17 @@ class DocumentService: process_rule = knowledge_config.process_rule if process_rule: if process_rule.mode in ("custom", "hierarchical"): - dataset_process_rule = DatasetProcessRule( - dataset_id=dataset.id, - mode=process_rule.mode, - rules=process_rule.rules.model_dump_json() if process_rule.rules else None, - created_by=account.id, - ) + if process_rule.rules: + dataset_process_rule = DatasetProcessRule( + dataset_id=dataset.id, + mode=process_rule.mode, + rules=process_rule.rules.model_dump_json() if process_rule.rules else None, + created_by=account.id, + ) + else: + dataset_process_rule = dataset.latest_process_rule + if not dataset_process_rule: + raise ValueError("No process rule found.") elif process_rule.mode == "automatic": dataset_process_rule = DatasetProcessRule( dataset_id=dataset.id, @@ -1402,16 +1409,16 @@ class DocumentService: knowledge_config.embedding_model, # type: ignore ) dataset_collection_binding_id = dataset_collection_binding.id - if knowledge_config.retrieval_model: - retrieval_model = knowledge_config.retrieval_model - else: - retrieval_model = RetrievalModel( - search_method=RetrievalMethod.SEMANTIC_SEARCH.value, - reranking_enable=False, - reranking_model=RerankingModel(reranking_provider_name="", reranking_model_name=""), - top_k=2, - score_threshold_enabled=False, - ) + if knowledge_config.retrieval_model: + retrieval_model = knowledge_config.retrieval_model + else: + retrieval_model = RetrievalModel( + search_method=RetrievalMethod.SEMANTIC_SEARCH.value, + reranking_enable=False, + reranking_model=RerankingModel(reranking_provider_name="", reranking_model_name=""), + top_k=2, + score_threshold_enabled=False, + ) # save dataset dataset = Dataset( tenant_id=tenant_id, @@ -1603,6 +1610,191 @@ class DocumentService: if not isinstance(args["process_rule"]["rules"]["segmentation"]["max_tokens"], int): raise ValueError("Process rule segmentation max_tokens is invalid") + @staticmethod + def batch_update_document_status(dataset: Dataset, document_ids: list[str], action: str, user): + """ + Batch update document status. + + Args: + dataset (Dataset): The dataset object + document_ids (list[str]): List of document IDs to update + action (str): Action to perform (enable, disable, archive, un_archive) + user: Current user performing the action + + Raises: + DocumentIndexingError: If document is being indexed or not in correct state + ValueError: If action is invalid + """ + if not document_ids: + return + + # Early validation of action parameter + valid_actions = ["enable", "disable", "archive", "un_archive"] + if action not in valid_actions: + raise ValueError(f"Invalid action: {action}. Must be one of {valid_actions}") + + documents_to_update = [] + + # First pass: validate all documents and prepare updates + for document_id in document_ids: + document = DocumentService.get_document(dataset.id, document_id) + if not document: + continue + + # Check if document is being indexed + indexing_cache_key = f"document_{document.id}_indexing" + cache_result = redis_client.get(indexing_cache_key) + if cache_result is not None: + raise DocumentIndexingError(f"Document:{document.name} is being indexed, please try again later") + + # Prepare update based on action + update_info = DocumentService._prepare_document_status_update(document, action, user) + if update_info: + documents_to_update.append(update_info) + + # Second pass: apply all updates in a single transaction + if documents_to_update: + try: + for update_info in documents_to_update: + document = update_info["document"] + updates = update_info["updates"] + + # Apply updates to the document + for field, value in updates.items(): + setattr(document, field, value) + + db.session.add(document) + + # Batch commit all changes + db.session.commit() + except Exception as e: + # Rollback on any error + db.session.rollback() + raise e + # Execute async tasks and set Redis cache after successful commit + # propagation_error is used to capture any errors for submitting async task execution + propagation_error = None + for update_info in documents_to_update: + try: + # Execute async tasks after successful commit + if update_info["async_task"]: + task_info = update_info["async_task"] + task_func = task_info["function"] + task_args = task_info["args"] + task_func.delay(*task_args) + except Exception as e: + # Log the error but do not rollback the transaction + logging.exception(f"Error executing async task for document {update_info['document'].id}") + # don't raise the error immediately, but capture it for later + propagation_error = e + try: + # Set Redis cache if needed after successful commit + if update_info["set_cache"]: + document = update_info["document"] + indexing_cache_key = f"document_{document.id}_indexing" + redis_client.setex(indexing_cache_key, 600, 1) + except Exception as e: + # Log the error but do not rollback the transaction + logging.exception(f"Error setting cache for document {update_info['document'].id}") + # Raise any propagation error after all updates + if propagation_error: + raise propagation_error + + @staticmethod + def _prepare_document_status_update(document, action: str, user): + """ + Prepare document status update information. + + Args: + document: Document object to update + action: Action to perform + user: Current user + + Returns: + dict: Update information or None if no update needed + """ + now = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) + + if action == "enable": + return DocumentService._prepare_enable_update(document, now) + elif action == "disable": + return DocumentService._prepare_disable_update(document, user, now) + elif action == "archive": + return DocumentService._prepare_archive_update(document, user, now) + elif action == "un_archive": + return DocumentService._prepare_unarchive_update(document, now) + + return None + + @staticmethod + def _prepare_enable_update(document, now): + """Prepare updates for enabling a document.""" + if document.enabled: + return None + + return { + "document": document, + "updates": {"enabled": True, "disabled_at": None, "disabled_by": None, "updated_at": now}, + "async_task": {"function": add_document_to_index_task, "args": [document.id]}, + "set_cache": True, + } + + @staticmethod + def _prepare_disable_update(document, user, now): + """Prepare updates for disabling a document.""" + if not document.completed_at or document.indexing_status != "completed": + raise DocumentIndexingError(f"Document: {document.name} is not completed.") + + if not document.enabled: + return None + + return { + "document": document, + "updates": {"enabled": False, "disabled_at": now, "disabled_by": user.id, "updated_at": now}, + "async_task": {"function": remove_document_from_index_task, "args": [document.id]}, + "set_cache": True, + } + + @staticmethod + def _prepare_archive_update(document, user, now): + """Prepare updates for archiving a document.""" + if document.archived: + return None + + update_info = { + "document": document, + "updates": {"archived": True, "archived_at": now, "archived_by": user.id, "updated_at": now}, + "async_task": None, + "set_cache": False, + } + + # Only set async task and cache if document is currently enabled + if document.enabled: + update_info["async_task"] = {"function": remove_document_from_index_task, "args": [document.id]} + update_info["set_cache"] = True + + return update_info + + @staticmethod + def _prepare_unarchive_update(document, now): + """Prepare updates for unarchiving a document.""" + if not document.archived: + return None + + update_info = { + "document": document, + "updates": {"archived": False, "archived_at": None, "archived_by": None, "updated_at": now}, + "async_task": None, + "set_cache": False, + } + + # Only re-index if the document is currently enabled + if document.enabled: + update_info["async_task"] = {"function": add_document_to_index_task, "args": [document.id]} + update_info["set_cache"] = True + + return update_info + class SegmentService: @classmethod diff --git a/api/services/entities/knowledge_entities/knowledge_entities.py b/api/services/entities/knowledge_entities/knowledge_entities.py index bb3be61f85..603064ca07 100644 --- a/api/services/entities/knowledge_entities/knowledge_entities.py +++ b/api/services/entities/knowledge_entities/knowledge_entities.py @@ -101,7 +101,7 @@ class WeightModel(BaseModel): class RetrievalModel(BaseModel): - search_method: Literal["hybrid_search", "semantic_search", "full_text_search"] + search_method: Literal["hybrid_search", "semantic_search", "full_text_search", "keyword_search"] reranking_enable: bool reranking_model: Optional[RerankingModel] = None reranking_mode: Optional[str] = None diff --git a/api/services/errors/__init__.py b/api/services/errors/__init__.py index eb1f055708..697e691224 100644 --- a/api/services/errors/__init__.py +++ b/api/services/errors/__init__.py @@ -4,7 +4,6 @@ from . import ( app_model_config, audio, base, - completion, conversation, dataset, document, @@ -19,7 +18,6 @@ __all__ = [ "app_model_config", "audio", "base", - "completion", "conversation", "dataset", "document", diff --git a/api/services/errors/account.py b/api/services/errors/account.py index 5aca12ffeb..4d3d150e07 100644 --- a/api/services/errors/account.py +++ b/api/services/errors/account.py @@ -55,7 +55,3 @@ class MemberNotInTenantError(BaseServiceError): class RoleAlreadyAssignedError(BaseServiceError): pass - - -class RateLimitExceededError(BaseServiceError): - pass diff --git a/api/services/errors/app.py b/api/services/errors/app.py index 87e9e9247d..5d348c61be 100644 --- a/api/services/errors/app.py +++ b/api/services/errors/app.py @@ -4,3 +4,7 @@ class MoreLikeThisDisabledError(Exception): class WorkflowHashNotEqualError(Exception): pass + + +class IsDraftWorkflowError(Exception): + pass diff --git a/api/services/errors/completion.py b/api/services/errors/plugin.py similarity index 51% rename from api/services/errors/completion.py rename to api/services/errors/plugin.py index 7fc50a588e..be5b144b3d 100644 --- a/api/services/errors/completion.py +++ b/api/services/errors/plugin.py @@ -1,5 +1,5 @@ from services.errors.base import BaseServiceError -class CompletionStoppedError(BaseServiceError): +class PluginInstallationForbiddenError(BaseServiceError): pass diff --git a/api/services/feature_service.py b/api/services/feature_service.py index be85a03e80..188caf3505 100644 --- a/api/services/feature_service.py +++ b/api/services/feature_service.py @@ -88,6 +88,26 @@ class WebAppAuthModel(BaseModel): allow_email_password_login: bool = False +class PluginInstallationScope(StrEnum): + NONE = "none" + OFFICIAL_ONLY = "official_only" + OFFICIAL_AND_SPECIFIC_PARTNERS = "official_and_specific_partners" + ALL = "all" + + +class PluginInstallationPermissionModel(BaseModel): + # Plugin installation scope – possible values: + # none: prohibit all plugin installations + # official_only: allow only Dify official plugins + # official_and_specific_partners: allow official and specific partner plugins + # all: allow installation of all plugins + plugin_installation_scope: PluginInstallationScope = PluginInstallationScope.ALL + + # If True, restrict plugin installation to the marketplace only + # Equivalent to ForceEnablePluginVerification + restrict_to_marketplace_only: bool = False + + class FeatureModel(BaseModel): billing: BillingModel = BillingModel() education: EducationModel = EducationModel() @@ -128,6 +148,7 @@ class SystemFeatureModel(BaseModel): license: LicenseModel = LicenseModel() branding: BrandingModel = BrandingModel() webapp_auth: WebAppAuthModel = WebAppAuthModel() + plugin_installation_permission: PluginInstallationPermissionModel = PluginInstallationPermissionModel() class FeatureService: @@ -291,3 +312,12 @@ class FeatureService: features.license.workspaces.enabled = license_info["workspaces"]["enabled"] features.license.workspaces.limit = license_info["workspaces"]["limit"] features.license.workspaces.size = license_info["workspaces"]["used"] + + if "PluginInstallationPermission" in enterprise_info: + plugin_installation_info = enterprise_info["PluginInstallationPermission"] + features.plugin_installation_permission.plugin_installation_scope = plugin_installation_info[ + "pluginInstallationScope" + ] + features.plugin_installation_permission.restrict_to_marketplace_only = plugin_installation_info[ + "restrictToMarketplaceOnly" + ] diff --git a/api/services/plugin/data_migration.py b/api/services/plugin/data_migration.py index 1c5abfecba..5324036414 100644 --- a/api/services/plugin/data_migration.py +++ b/api/services/plugin/data_migration.py @@ -3,7 +3,7 @@ import logging import click -from core.entities import DEFAULT_PLUGIN_ID +from core.plugin.entities.plugin import GenericProviderID, ModelProviderID, ToolProviderID from models.engine import db logger = logging.getLogger(__name__) @@ -12,17 +12,17 @@ logger = logging.getLogger(__name__) class PluginDataMigration: @classmethod def migrate(cls) -> None: - cls.migrate_db_records("providers", "provider_name") # large table - cls.migrate_db_records("provider_models", "provider_name") - cls.migrate_db_records("provider_orders", "provider_name") - cls.migrate_db_records("tenant_default_models", "provider_name") - cls.migrate_db_records("tenant_preferred_model_providers", "provider_name") - cls.migrate_db_records("provider_model_settings", "provider_name") - cls.migrate_db_records("load_balancing_model_configs", "provider_name") + cls.migrate_db_records("providers", "provider_name", ModelProviderID) # large table + cls.migrate_db_records("provider_models", "provider_name", ModelProviderID) + cls.migrate_db_records("provider_orders", "provider_name", ModelProviderID) + cls.migrate_db_records("tenant_default_models", "provider_name", ModelProviderID) + cls.migrate_db_records("tenant_preferred_model_providers", "provider_name", ModelProviderID) + cls.migrate_db_records("provider_model_settings", "provider_name", ModelProviderID) + cls.migrate_db_records("load_balancing_model_configs", "provider_name", ModelProviderID) cls.migrate_datasets() - cls.migrate_db_records("embeddings", "provider_name") # large table - cls.migrate_db_records("dataset_collection_bindings", "provider_name") - cls.migrate_db_records("tool_builtin_providers", "provider") + cls.migrate_db_records("embeddings", "provider_name", ModelProviderID) # large table + cls.migrate_db_records("dataset_collection_bindings", "provider_name", ModelProviderID) + cls.migrate_db_records("tool_builtin_providers", "provider", ToolProviderID) @classmethod def migrate_datasets(cls) -> None: @@ -66,9 +66,10 @@ limit 1000""" fg="white", ) ) - retrieval_model["reranking_model"]["reranking_provider_name"] = ( - f"{DEFAULT_PLUGIN_ID}/{retrieval_model['reranking_model']['reranking_provider_name']}/{retrieval_model['reranking_model']['reranking_provider_name']}" - ) + # update google to langgenius/gemini/google etc. + retrieval_model["reranking_model"]["reranking_provider_name"] = ModelProviderID( + retrieval_model["reranking_model"]["reranking_provider_name"] + ).to_string() retrieval_model_changed = True click.echo( @@ -86,9 +87,11 @@ limit 1000""" update_retrieval_model_sql = ", retrieval_model = :retrieval_model" params["retrieval_model"] = json.dumps(retrieval_model) + params["provider_name"] = ModelProviderID(provider_name).to_string() + sql = f"""update {table_name} set {provider_column_name} = - concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) + :provider_name {update_retrieval_model_sql} where id = :record_id""" conn.execute(db.text(sql), params) @@ -122,7 +125,9 @@ limit 1000""" ) @classmethod - def migrate_db_records(cls, table_name: str, provider_column_name: str) -> None: + def migrate_db_records( + cls, table_name: str, provider_column_name: str, provider_cls: type[GenericProviderID] + ) -> None: click.echo(click.style(f"Migrating [{table_name}] data for plugin", fg="white")) processed_count = 0 @@ -166,7 +171,8 @@ limit 1000""" ) try: - updated_value = f"{DEFAULT_PLUGIN_ID}/{provider_name}/{provider_name}" + # update jina to langgenius/jina_tool/jina etc. + updated_value = provider_cls(provider_name).to_string() batch_updates.append((updated_value, record_id)) except Exception as e: failed_ids.append(record_id) diff --git a/api/services/plugin/plugin_service.py b/api/services/plugin/plugin_service.py index a8b64f27db..d7fb4a7c1b 100644 --- a/api/services/plugin/plugin_service.py +++ b/api/services/plugin/plugin_service.py @@ -17,11 +17,18 @@ from core.plugin.entities.plugin import ( PluginInstallation, PluginInstallationSource, ) -from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginListResponse, PluginUploadResponse +from core.plugin.entities.plugin_daemon import ( + PluginDecodeResponse, + PluginInstallTask, + PluginListResponse, + PluginVerification, +) from core.plugin.impl.asset import PluginAssetManager from core.plugin.impl.debugging import PluginDebuggingClient from core.plugin.impl.plugin import PluginInstaller from extensions.ext_redis import redis_client +from services.errors.plugin import PluginInstallationForbiddenError +from services.feature_service import FeatureService, PluginInstallationScope logger = logging.getLogger(__name__) @@ -86,6 +93,42 @@ class PluginService: logger.exception("failed to fetch latest plugin version") return result + @staticmethod + def _check_marketplace_only_permission(): + """ + Check if the marketplace only permission is enabled + """ + features = FeatureService.get_system_features() + if features.plugin_installation_permission.restrict_to_marketplace_only: + raise PluginInstallationForbiddenError("Plugin installation is restricted to marketplace only") + + @staticmethod + def _check_plugin_installation_scope(plugin_verification: Optional[PluginVerification]): + """ + Check the plugin installation scope + """ + features = FeatureService.get_system_features() + + match features.plugin_installation_permission.plugin_installation_scope: + case PluginInstallationScope.OFFICIAL_ONLY: + if ( + plugin_verification is None + or plugin_verification.authorized_category != PluginVerification.AuthorizedCategory.Langgenius + ): + raise PluginInstallationForbiddenError("Plugin installation is restricted to official only") + case PluginInstallationScope.OFFICIAL_AND_SPECIFIC_PARTNERS: + if plugin_verification is None or plugin_verification.authorized_category not in [ + PluginVerification.AuthorizedCategory.Langgenius, + PluginVerification.AuthorizedCategory.Partner, + ]: + raise PluginInstallationForbiddenError( + "Plugin installation is restricted to official and specific partners" + ) + case PluginInstallationScope.NONE: + raise PluginInstallationForbiddenError("Installing plugins is not allowed") + case PluginInstallationScope.ALL: + pass + @staticmethod def get_debugging_key(tenant_id: str) -> str: """ @@ -208,6 +251,8 @@ class PluginService: # check if plugin pkg is already downloaded manager = PluginInstaller() + features = FeatureService.get_system_features() + try: manager.fetch_plugin_manifest(tenant_id, new_plugin_unique_identifier) # already downloaded, skip, and record install event @@ -215,7 +260,14 @@ class PluginService: except Exception: # plugin not installed, download and upload pkg pkg = download_plugin_pkg(new_plugin_unique_identifier) - manager.upload_pkg(tenant_id, pkg, verify_signature=False) + response = manager.upload_pkg( + tenant_id, + pkg, + verify_signature=features.plugin_installation_permission.restrict_to_marketplace_only, + ) + + # check if the plugin is available to install + PluginService._check_plugin_installation_scope(response.verification) return manager.upgrade_plugin( tenant_id, @@ -239,6 +291,7 @@ class PluginService: """ Upgrade plugin with github """ + PluginService._check_marketplace_only_permission() manager = PluginInstaller() return manager.upgrade_plugin( tenant_id, @@ -253,33 +306,43 @@ class PluginService: ) @staticmethod - def upload_pkg(tenant_id: str, pkg: bytes, verify_signature: bool = False) -> PluginUploadResponse: + def upload_pkg(tenant_id: str, pkg: bytes, verify_signature: bool = False) -> PluginDecodeResponse: """ Upload plugin package files returns: plugin_unique_identifier """ + PluginService._check_marketplace_only_permission() manager = PluginInstaller() - return manager.upload_pkg(tenant_id, pkg, verify_signature) + features = FeatureService.get_system_features() + response = manager.upload_pkg( + tenant_id, + pkg, + verify_signature=features.plugin_installation_permission.restrict_to_marketplace_only, + ) + return response @staticmethod def upload_pkg_from_github( tenant_id: str, repo: str, version: str, package: str, verify_signature: bool = False - ) -> PluginUploadResponse: + ) -> PluginDecodeResponse: """ Install plugin from github release package files, returns plugin_unique_identifier """ + PluginService._check_marketplace_only_permission() pkg = download_with_size_limit( f"https://github.com/{repo}/releases/download/{version}/{package}", dify_config.PLUGIN_MAX_PACKAGE_SIZE ) + features = FeatureService.get_system_features() manager = PluginInstaller() - return manager.upload_pkg( + response = manager.upload_pkg( tenant_id, pkg, - verify_signature, + verify_signature=features.plugin_installation_permission.restrict_to_marketplace_only, ) + return response @staticmethod def upload_bundle( @@ -289,11 +352,15 @@ class PluginService: Upload a plugin bundle and return the dependencies. """ manager = PluginInstaller() + PluginService._check_marketplace_only_permission() return manager.upload_bundle(tenant_id, bundle, verify_signature) @staticmethod def install_from_local_pkg(tenant_id: str, plugin_unique_identifiers: Sequence[str]): + PluginService._check_marketplace_only_permission() + manager = PluginInstaller() + return manager.install_from_identifiers( tenant_id, plugin_unique_identifiers, @@ -307,6 +374,8 @@ class PluginService: Install plugin from github release package files, returns plugin_unique_identifier """ + PluginService._check_marketplace_only_permission() + manager = PluginInstaller() return manager.install_from_identifiers( tenant_id, @@ -322,28 +391,33 @@ class PluginService: ) @staticmethod - def fetch_marketplace_pkg( - tenant_id: str, plugin_unique_identifier: str, verify_signature: bool = False - ) -> PluginDeclaration: + def fetch_marketplace_pkg(tenant_id: str, plugin_unique_identifier: str) -> PluginDeclaration: """ Fetch marketplace package """ if not dify_config.MARKETPLACE_ENABLED: raise ValueError("marketplace is not enabled") + features = FeatureService.get_system_features() + manager = PluginInstaller() try: declaration = manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier) except Exception: pkg = download_plugin_pkg(plugin_unique_identifier) - declaration = manager.upload_pkg(tenant_id, pkg, verify_signature).manifest + response = manager.upload_pkg( + tenant_id, + pkg, + verify_signature=features.plugin_installation_permission.restrict_to_marketplace_only, + ) + # check if the plugin is available to install + PluginService._check_plugin_installation_scope(response.verification) + declaration = response.manifest return declaration @staticmethod - def install_from_marketplace_pkg( - tenant_id: str, plugin_unique_identifiers: Sequence[str], verify_signature: bool = False - ): + def install_from_marketplace_pkg(tenant_id: str, plugin_unique_identifiers: Sequence[str]): """ Install plugin from marketplace package files, returns installation task id @@ -353,15 +427,26 @@ class PluginService: manager = PluginInstaller() + features = FeatureService.get_system_features() + # check if already downloaded for plugin_unique_identifier in plugin_unique_identifiers: try: manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier) + plugin_decode_response = manager.decode_plugin_from_identifier(tenant_id, plugin_unique_identifier) + # check if the plugin is available to install + PluginService._check_plugin_installation_scope(plugin_decode_response.verification) # already downloaded, skip except Exception: # plugin not installed, download and upload pkg pkg = download_plugin_pkg(plugin_unique_identifier) - manager.upload_pkg(tenant_id, pkg, verify_signature) + response = manager.upload_pkg( + tenant_id, + pkg, + verify_signature=features.plugin_installation_permission.restrict_to_marketplace_only, + ) + # check if the plugin is available to install + PluginService._check_plugin_installation_scope(response.verification) return manager.install_from_identifiers( tenant_id, diff --git a/api/services/workflow_app_service.py b/api/services/workflow_app_service.py index 6b30a70372..6eabf03018 100644 --- a/api/services/workflow_app_service.py +++ b/api/services/workflow_app_service.py @@ -5,7 +5,7 @@ from sqlalchemy import and_, func, or_, select from sqlalchemy.orm import Session from core.workflow.entities.workflow_execution import WorkflowExecutionStatus -from models import App, EndUser, WorkflowAppLog, WorkflowRun +from models import Account, App, EndUser, WorkflowAppLog, WorkflowRun from models.enums import CreatorUserRole @@ -21,6 +21,8 @@ class WorkflowAppService: created_at_after: datetime | None = None, page: int = 1, limit: int = 20, + created_by_end_user_session_id: str | None = None, + created_by_account: str | None = None, ) -> dict: """ Get paginate workflow app logs using SQLAlchemy 2.0 style @@ -32,6 +34,8 @@ class WorkflowAppService: :param created_at_after: filter logs created after this timestamp :param page: page number :param limit: items per page + :param created_by_end_user_session_id: filter by end user session id + :param created_by_account: filter by account email :return: Pagination object """ # Build base statement using SQLAlchemy 2.0 style @@ -71,6 +75,26 @@ class WorkflowAppService: if created_at_after: stmt = stmt.where(WorkflowAppLog.created_at >= created_at_after) + # Filter by end user session id or account email + if created_by_end_user_session_id: + stmt = stmt.join( + EndUser, + and_( + WorkflowAppLog.created_by == EndUser.id, + WorkflowAppLog.created_by_role == CreatorUserRole.END_USER, + EndUser.session_id == created_by_end_user_session_id, + ), + ) + if created_by_account: + stmt = stmt.join( + Account, + and_( + WorkflowAppLog.created_by == Account.id, + WorkflowAppLog.created_by_role == CreatorUserRole.ACCOUNT, + Account.email == created_by_account, + ), + ) + stmt = stmt.order_by(WorkflowAppLog.created_at.desc()) # Get total count using the same filters diff --git a/api/services/workflow_draft_variable_service.py b/api/services/workflow_draft_variable_service.py new file mode 100644 index 0000000000..cd30440b4f --- /dev/null +++ b/api/services/workflow_draft_variable_service.py @@ -0,0 +1,721 @@ +import dataclasses +import datetime +import logging +from collections.abc import Mapping, Sequence +from enum import StrEnum +from typing import Any, ClassVar + +from sqlalchemy import Engine, orm, select +from sqlalchemy.dialects.postgresql import insert +from sqlalchemy.orm import Session +from sqlalchemy.sql.expression import and_, or_ + +from core.app.entities.app_invoke_entities import InvokeFrom +from core.file.models import File +from core.variables import Segment, StringSegment, Variable +from core.variables.consts import MIN_SELECTORS_LENGTH +from core.variables.segments import ArrayFileSegment, FileSegment +from core.variables.types import SegmentType +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, ENVIRONMENT_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID +from core.workflow.enums import SystemVariableKey +from core.workflow.nodes import NodeType +from core.workflow.nodes.variable_assigner.common.helpers import get_updated_variables +from core.workflow.variable_loader import VariableLoader +from factories.file_factory import StorageKeyLoader +from factories.variable_factory import build_segment, segment_to_variable +from models import App, Conversation +from models.enums import DraftVariableType +from models.workflow import Workflow, WorkflowDraftVariable, WorkflowNodeExecutionModel, is_system_variable_editable + +_logger = logging.getLogger(__name__) + + +@dataclasses.dataclass(frozen=True) +class WorkflowDraftVariableList: + variables: list[WorkflowDraftVariable] + total: int | None = None + + +class WorkflowDraftVariableError(Exception): + pass + + +class VariableResetError(WorkflowDraftVariableError): + pass + + +class UpdateNotSupportedError(WorkflowDraftVariableError): + pass + + +class DraftVarLoader(VariableLoader): + # This implements the VariableLoader interface for loading draft variables. + # + # ref: core.workflow.variable_loader.VariableLoader + + # Database engine used for loading variables. + _engine: Engine + # Application ID for which variables are being loaded. + _app_id: str + _tenant_id: str + _fallback_variables: Sequence[Variable] + + def __init__( + self, + engine: Engine, + app_id: str, + tenant_id: str, + fallback_variables: Sequence[Variable] | None = None, + ) -> None: + self._engine = engine + self._app_id = app_id + self._tenant_id = tenant_id + self._fallback_variables = fallback_variables or [] + + def _selector_to_tuple(self, selector: Sequence[str]) -> tuple[str, str]: + return (selector[0], selector[1]) + + def load_variables(self, selectors: list[list[str]]) -> list[Variable]: + if not selectors: + return [] + + # Map each selector (as a tuple via `_selector_to_tuple`) to its corresponding Variable instance. + variable_by_selector: dict[tuple[str, str], Variable] = {} + + with Session(bind=self._engine, expire_on_commit=False) as session: + srv = WorkflowDraftVariableService(session) + draft_vars = srv.get_draft_variables_by_selectors(self._app_id, selectors) + + for draft_var in draft_vars: + segment = draft_var.get_value() + variable = segment_to_variable( + segment=segment, + selector=draft_var.get_selector(), + id=draft_var.id, + name=draft_var.name, + description=draft_var.description, + ) + selector_tuple = self._selector_to_tuple(variable.selector) + variable_by_selector[selector_tuple] = variable + + # Important: + files: list[File] = [] + for draft_var in draft_vars: + value = draft_var.get_value() + if isinstance(value, FileSegment): + files.append(value.value) + elif isinstance(value, ArrayFileSegment): + files.extend(value.value) + with Session(bind=self._engine) as session: + storage_key_loader = StorageKeyLoader(session, tenant_id=self._tenant_id) + storage_key_loader.load_storage_keys(files) + + return list(variable_by_selector.values()) + + +class WorkflowDraftVariableService: + _session: Session + + def __init__(self, session: Session) -> None: + self._session = session + + def get_variable(self, variable_id: str) -> WorkflowDraftVariable | None: + return self._session.query(WorkflowDraftVariable).filter(WorkflowDraftVariable.id == variable_id).first() + + def get_draft_variables_by_selectors( + self, + app_id: str, + selectors: Sequence[list[str]], + ) -> list[WorkflowDraftVariable]: + ors = [] + for selector in selectors: + node_id, name = selector + ors.append(and_(WorkflowDraftVariable.node_id == node_id, WorkflowDraftVariable.name == name)) + + # NOTE(QuantumGhost): Although the number of `or` expressions may be large, as long as + # each expression includes conditions on both `node_id` and `name` (which are covered by the unique index), + # PostgreSQL can efficiently retrieve the results using a bitmap index scan. + # + # Alternatively, a `SELECT` statement could be constructed for each selector and + # combined using `UNION` to fetch all rows. + # Benchmarking indicates that both approaches yield comparable performance. + variables = ( + self._session.query(WorkflowDraftVariable).where(WorkflowDraftVariable.app_id == app_id, or_(*ors)).all() + ) + return variables + + def list_variables_without_values(self, app_id: str, page: int, limit: int) -> WorkflowDraftVariableList: + criteria = WorkflowDraftVariable.app_id == app_id + total = None + query = self._session.query(WorkflowDraftVariable).filter(criteria) + if page == 1: + total = query.count() + variables = ( + # Do not load the `value` field. + query.options(orm.defer(WorkflowDraftVariable.value)) + .order_by(WorkflowDraftVariable.id.desc()) + .limit(limit) + .offset((page - 1) * limit) + .all() + ) + + return WorkflowDraftVariableList(variables=variables, total=total) + + def _list_node_variables(self, app_id: str, node_id: str) -> WorkflowDraftVariableList: + criteria = ( + WorkflowDraftVariable.app_id == app_id, + WorkflowDraftVariable.node_id == node_id, + ) + query = self._session.query(WorkflowDraftVariable).filter(*criteria) + variables = query.order_by(WorkflowDraftVariable.id.desc()).all() + return WorkflowDraftVariableList(variables=variables) + + def list_node_variables(self, app_id: str, node_id: str) -> WorkflowDraftVariableList: + return self._list_node_variables(app_id, node_id) + + def list_conversation_variables(self, app_id: str) -> WorkflowDraftVariableList: + return self._list_node_variables(app_id, CONVERSATION_VARIABLE_NODE_ID) + + def list_system_variables(self, app_id: str) -> WorkflowDraftVariableList: + return self._list_node_variables(app_id, SYSTEM_VARIABLE_NODE_ID) + + def get_conversation_variable(self, app_id: str, name: str) -> WorkflowDraftVariable | None: + return self._get_variable(app_id=app_id, node_id=CONVERSATION_VARIABLE_NODE_ID, name=name) + + def get_system_variable(self, app_id: str, name: str) -> WorkflowDraftVariable | None: + return self._get_variable(app_id=app_id, node_id=SYSTEM_VARIABLE_NODE_ID, name=name) + + def get_node_variable(self, app_id: str, node_id: str, name: str) -> WorkflowDraftVariable | None: + return self._get_variable(app_id, node_id, name) + + def _get_variable(self, app_id: str, node_id: str, name: str) -> WorkflowDraftVariable | None: + variable = ( + self._session.query(WorkflowDraftVariable) + .where( + WorkflowDraftVariable.app_id == app_id, + WorkflowDraftVariable.node_id == node_id, + WorkflowDraftVariable.name == name, + ) + .first() + ) + return variable + + def update_variable( + self, + variable: WorkflowDraftVariable, + name: str | None = None, + value: Segment | None = None, + ) -> WorkflowDraftVariable: + if not variable.editable: + raise UpdateNotSupportedError(f"variable not support updating, id={variable.id}") + if name is not None: + variable.set_name(name) + if value is not None: + variable.set_value(value) + variable.last_edited_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) + self._session.flush() + return variable + + def _reset_conv_var(self, workflow: Workflow, variable: WorkflowDraftVariable) -> WorkflowDraftVariable | None: + conv_var_by_name = {i.name: i for i in workflow.conversation_variables} + conv_var = conv_var_by_name.get(variable.name) + + if conv_var is None: + self._session.delete(instance=variable) + self._session.flush() + _logger.warning( + "Conversation variable not found for draft variable, id=%s, name=%s", variable.id, variable.name + ) + return None + + variable.set_value(conv_var) + variable.last_edited_at = None + self._session.add(variable) + self._session.flush() + return variable + + def _reset_node_var(self, workflow: Workflow, variable: WorkflowDraftVariable) -> WorkflowDraftVariable | None: + # If a variable does not allow updating, it makes no sence to resetting it. + if not variable.editable: + return variable + # No execution record for this variable, delete the variable instead. + if variable.node_execution_id is None: + self._session.delete(instance=variable) + self._session.flush() + _logger.warning("draft variable has no node_execution_id, id=%s, name=%s", variable.id, variable.name) + return None + + query = select(WorkflowNodeExecutionModel).where(WorkflowNodeExecutionModel.id == variable.node_execution_id) + node_exec = self._session.scalars(query).first() + if node_exec is None: + _logger.warning( + "Node exectution not found for draft variable, id=%s, name=%s, node_execution_id=%s", + variable.id, + variable.name, + variable.node_execution_id, + ) + self._session.delete(instance=variable) + self._session.flush() + return None + + # Get node type for proper value extraction + node_config = workflow.get_node_config_by_id(variable.node_id) + node_type = workflow.get_node_type_from_node_config(node_config) + + outputs_dict = node_exec.outputs_dict or {} + + # Note: Based on the implementation in `_build_from_variable_assigner_mapping`, + # VariableAssignerNode (both v1 and v2) can only create conversation draft variables. + # For consistency, we should simply return when processing VARIABLE_ASSIGNER nodes. + # + # This implementation must remain synchronized with the `_build_from_variable_assigner_mapping` + # and `save` methods. + if node_type == NodeType.VARIABLE_ASSIGNER: + return variable + + if variable.name not in outputs_dict: + # If variable not found in execution data, delete the variable + self._session.delete(instance=variable) + self._session.flush() + return None + value = outputs_dict[variable.name] + value_seg = WorkflowDraftVariable.build_segment_with_type(variable.value_type, value) + # Extract variable value using unified logic + variable.set_value(value_seg) + variable.last_edited_at = None # Reset to indicate this is a reset operation + self._session.flush() + return variable + + def reset_variable(self, workflow: Workflow, variable: WorkflowDraftVariable) -> WorkflowDraftVariable | None: + variable_type = variable.get_variable_type() + if variable_type == DraftVariableType.CONVERSATION: + return self._reset_conv_var(workflow, variable) + elif variable_type == DraftVariableType.NODE: + return self._reset_node_var(workflow, variable) + else: + raise VariableResetError(f"cannot reset system variable, variable_id={variable.id}") + + def delete_variable(self, variable: WorkflowDraftVariable): + self._session.delete(variable) + + def delete_workflow_variables(self, app_id: str): + ( + self._session.query(WorkflowDraftVariable) + .filter(WorkflowDraftVariable.app_id == app_id) + .delete(synchronize_session=False) + ) + + def delete_node_variables(self, app_id: str, node_id: str): + return self._delete_node_variables(app_id, node_id) + + def _delete_node_variables(self, app_id: str, node_id: str): + self._session.query(WorkflowDraftVariable).where( + WorkflowDraftVariable.app_id == app_id, + WorkflowDraftVariable.node_id == node_id, + ).delete() + + def _get_conversation_id_from_draft_variable(self, app_id: str) -> str | None: + draft_var = self._get_variable( + app_id=app_id, + node_id=SYSTEM_VARIABLE_NODE_ID, + name=str(SystemVariableKey.CONVERSATION_ID), + ) + if draft_var is None: + return None + segment = draft_var.get_value() + if not isinstance(segment, StringSegment): + _logger.warning( + "sys.conversation_id variable is not a string: app_id=%s, id=%s", + app_id, + draft_var.id, + ) + return None + return segment.value + + def get_or_create_conversation( + self, + account_id: str, + app: App, + workflow: Workflow, + ) -> str: + """ + get_or_create_conversation creates and returns the ID of a conversation for debugging. + + If a conversation already exists, as determined by the following criteria, its ID is returned: + - The system variable `sys.conversation_id` exists in the draft variable table, and + - A corresponding conversation record is found in the database. + + If no such conversation exists, a new conversation is created and its ID is returned. + """ + conv_id = self._get_conversation_id_from_draft_variable(workflow.app_id) + + if conv_id is not None: + conversation = ( + self._session.query(Conversation) + .filter( + Conversation.id == conv_id, + Conversation.app_id == workflow.app_id, + ) + .first() + ) + # Only return the conversation ID if it exists and is valid (has a correspond conversation record in DB). + if conversation is not None: + return conv_id + conversation = Conversation( + app_id=workflow.app_id, + app_model_config_id=app.app_model_config_id, + model_provider=None, + model_id="", + override_model_configs=None, + mode=app.mode, + name="Draft Debugging Conversation", + inputs={}, + introduction="", + system_instruction="", + system_instruction_tokens=0, + status="normal", + invoke_from=InvokeFrom.DEBUGGER.value, + from_source="console", + from_end_user_id=None, + from_account_id=account_id, + ) + + self._session.add(conversation) + self._session.flush() + return conversation.id + + def prefill_conversation_variable_default_values(self, workflow: Workflow): + """""" + draft_conv_vars: list[WorkflowDraftVariable] = [] + for conv_var in workflow.conversation_variables: + draft_var = WorkflowDraftVariable.new_conversation_variable( + app_id=workflow.app_id, + name=conv_var.name, + value=conv_var, + description=conv_var.description, + ) + draft_conv_vars.append(draft_var) + _batch_upsert_draft_varaible( + self._session, + draft_conv_vars, + policy=_UpsertPolicy.IGNORE, + ) + + +class _UpsertPolicy(StrEnum): + IGNORE = "ignore" + OVERWRITE = "overwrite" + + +def _batch_upsert_draft_varaible( + session: Session, + draft_vars: Sequence[WorkflowDraftVariable], + policy: _UpsertPolicy = _UpsertPolicy.OVERWRITE, +) -> None: + if not draft_vars: + return None + # Although we could use SQLAlchemy ORM operations here, we choose not to for several reasons: + # + # 1. The variable saving process involves writing multiple rows to the + # `workflow_draft_variables` table. Batch insertion significantly improves performance. + # 2. Using the ORM would require either: + # + # a. Checking for the existence of each variable before insertion, + # resulting in 2n SQL statements for n variables and potential concurrency issues. + # b. Attempting insertion first, then updating if a unique index violation occurs, + # which still results in n to 2n SQL statements. + # + # Both approaches are inefficient and suboptimal. + # 3. We do not need to retrieve the results of the SQL execution or populate ORM + # model instances with the returned values. + # 4. Batch insertion with `ON CONFLICT DO UPDATE` allows us to insert or update all + # variables in a single SQL statement, avoiding the issues above. + # + # For these reasons, we use the SQLAlchemy query builder and rely on dialect-specific + # insert operations instead of the ORM layer. + stmt = insert(WorkflowDraftVariable).values([_model_to_insertion_dict(v) for v in draft_vars]) + if policy == _UpsertPolicy.OVERWRITE: + stmt = stmt.on_conflict_do_update( + index_elements=WorkflowDraftVariable.unique_app_id_node_id_name(), + set_={ + "updated_at": stmt.excluded.updated_at, + "last_edited_at": stmt.excluded.last_edited_at, + "description": stmt.excluded.description, + "value_type": stmt.excluded.value_type, + "value": stmt.excluded.value, + "visible": stmt.excluded.visible, + "editable": stmt.excluded.editable, + "node_execution_id": stmt.excluded.node_execution_id, + }, + ) + elif _UpsertPolicy.IGNORE: + stmt = stmt.on_conflict_do_nothing(index_elements=WorkflowDraftVariable.unique_app_id_node_id_name()) + else: + raise Exception("Invalid value for update policy.") + session.execute(stmt) + + +def _model_to_insertion_dict(model: WorkflowDraftVariable) -> dict[str, Any]: + d: dict[str, Any] = { + "app_id": model.app_id, + "last_edited_at": None, + "node_id": model.node_id, + "name": model.name, + "selector": model.selector, + "value_type": model.value_type, + "value": model.value, + "node_execution_id": model.node_execution_id, + } + if model.visible is not None: + d["visible"] = model.visible + if model.editable is not None: + d["editable"] = model.editable + if model.created_at is not None: + d["created_at"] = model.created_at + if model.updated_at is not None: + d["updated_at"] = model.updated_at + if model.description is not None: + d["description"] = model.description + return d + + +def _build_segment_for_serialized_values(v: Any) -> Segment: + """ + Reconstructs Segment objects from serialized values, with special handling + for FileSegment and ArrayFileSegment types. + + This function should only be used when: + 1. No explicit type information is available + 2. The input value is in serialized form (dict or list) + + It detects potential file objects in the serialized data and properly rebuilds the + appropriate segment type. + """ + return build_segment(WorkflowDraftVariable.rebuild_file_types(v)) + + +class DraftVariableSaver: + # _DUMMY_OUTPUT_IDENTITY is a placeholder output for workflow nodes. + # Its sole possible value is `None`. + # + # This is used to signal the execution of a workflow node when it has no other outputs. + _DUMMY_OUTPUT_IDENTITY: ClassVar[str] = "__dummy__" + _DUMMY_OUTPUT_VALUE: ClassVar[None] = None + + # _EXCLUDE_VARIABLE_NAMES_MAPPING maps node types and versions to variable names that + # should be excluded when saving draft variables. This prevents certain internal or + # technical variables from being exposed in the draft environment, particularly those + # that aren't meant to be directly edited or viewed by users. + _EXCLUDE_VARIABLE_NAMES_MAPPING: dict[NodeType, frozenset[str]] = { + NodeType.LLM: frozenset(["finish_reason"]), + NodeType.LOOP: frozenset(["loop_round"]), + } + + # Database session used for persisting draft variables. + _session: Session + + # The application ID associated with the draft variables. + # This should match the `Workflow.app_id` of the workflow to which the current node belongs. + _app_id: str + + # The ID of the node for which DraftVariableSaver is saving output variables. + _node_id: str + + # The type of the current node (see NodeType). + _node_type: NodeType + + # Indicates how the workflow execution was triggered (see InvokeFrom). + _invoke_from: InvokeFrom + + # + _node_execution_id: str + + # _enclosing_node_id identifies the container node that the current node belongs to. + # For example, if the current node is an LLM node inside an Iteration node + # or Loop node, then `_enclosing_node_id` refers to the ID of + # the containing Iteration or Loop node. + # + # If the current node is not nested within another node, `_enclosing_node_id` is + # `None`. + _enclosing_node_id: str | None + + def __init__( + self, + session: Session, + app_id: str, + node_id: str, + node_type: NodeType, + invoke_from: InvokeFrom, + node_execution_id: str, + enclosing_node_id: str | None = None, + ): + self._session = session + self._app_id = app_id + self._node_id = node_id + self._node_type = node_type + self._invoke_from = invoke_from + self._node_execution_id = node_execution_id + self._enclosing_node_id = enclosing_node_id + + def _create_dummy_output_variable(self): + return WorkflowDraftVariable.new_node_variable( + app_id=self._app_id, + node_id=self._node_id, + name=self._DUMMY_OUTPUT_IDENTITY, + node_execution_id=self._node_execution_id, + value=build_segment(self._DUMMY_OUTPUT_VALUE), + visible=False, + editable=False, + ) + + def _should_save_output_variables_for_draft(self) -> bool: + # Only save output variables for debugging execution of workflow. + if self._invoke_from != InvokeFrom.DEBUGGER: + return False + if self._enclosing_node_id is not None and self._node_type != NodeType.VARIABLE_ASSIGNER: + # Currently we do not save output variables for nodes inside loop or iteration. + return False + return True + + def _build_from_variable_assigner_mapping(self, process_data: Mapping[str, Any]) -> list[WorkflowDraftVariable]: + draft_vars: list[WorkflowDraftVariable] = [] + updated_variables = get_updated_variables(process_data) or [] + + for item in updated_variables: + selector = item.selector + if len(selector) < MIN_SELECTORS_LENGTH: + raise Exception("selector too short") + # NOTE(QuantumGhost): only the following two kinds of variable could be updated by + # VariableAssigner: ConversationVariable and iteration variable. + # We only save conversation variable here. + if selector[0] != CONVERSATION_VARIABLE_NODE_ID: + continue + segment = WorkflowDraftVariable.build_segment_with_type(segment_type=item.value_type, value=item.new_value) + draft_vars.append( + WorkflowDraftVariable.new_conversation_variable( + app_id=self._app_id, + name=item.name, + value=segment, + ) + ) + # Add a dummy output variable to indicate that this node is executed. + draft_vars.append(self._create_dummy_output_variable()) + return draft_vars + + def _build_variables_from_start_mapping(self, output: Mapping[str, Any]) -> list[WorkflowDraftVariable]: + draft_vars = [] + has_non_sys_variables = False + for name, value in output.items(): + value_seg = _build_segment_for_serialized_values(value) + node_id, name = self._normalize_variable_for_start_node(name) + # If node_id is not `sys`, it means that the variable is a user-defined input field + # in `Start` node. + if node_id != SYSTEM_VARIABLE_NODE_ID: + draft_vars.append( + WorkflowDraftVariable.new_node_variable( + app_id=self._app_id, + node_id=self._node_id, + name=name, + node_execution_id=self._node_execution_id, + value=value_seg, + visible=True, + editable=True, + ) + ) + has_non_sys_variables = True + else: + if name == SystemVariableKey.FILES: + # Here we know the type of variable must be `array[file]`, we + # just build files from the value. + files = [File.model_validate(v) for v in value] + if files: + value_seg = WorkflowDraftVariable.build_segment_with_type(SegmentType.ARRAY_FILE, files) + else: + value_seg = ArrayFileSegment(value=[]) + + draft_vars.append( + WorkflowDraftVariable.new_sys_variable( + app_id=self._app_id, + name=name, + node_execution_id=self._node_execution_id, + value=value_seg, + editable=self._should_variable_be_editable(node_id, name), + ) + ) + if not has_non_sys_variables: + draft_vars.append(self._create_dummy_output_variable()) + return draft_vars + + def _normalize_variable_for_start_node(self, name: str) -> tuple[str, str]: + if not name.startswith(f"{SYSTEM_VARIABLE_NODE_ID}."): + return self._node_id, name + _, name_ = name.split(".", maxsplit=1) + return SYSTEM_VARIABLE_NODE_ID, name_ + + def _build_variables_from_mapping(self, output: Mapping[str, Any]) -> list[WorkflowDraftVariable]: + draft_vars = [] + for name, value in output.items(): + if not self._should_variable_be_saved(name): + _logger.debug( + "Skip saving variable as it has been excluded by its node_type, name=%s, node_type=%s", + name, + self._node_type, + ) + continue + if isinstance(value, Segment): + value_seg = value + else: + value_seg = _build_segment_for_serialized_values(value) + draft_vars.append( + WorkflowDraftVariable.new_node_variable( + app_id=self._app_id, + node_id=self._node_id, + name=name, + node_execution_id=self._node_execution_id, + value=value_seg, + visible=self._should_variable_be_visible(self._node_id, self._node_type, name), + ) + ) + return draft_vars + + def save( + self, + process_data: Mapping[str, Any] | None = None, + outputs: Mapping[str, Any] | None = None, + ): + draft_vars: list[WorkflowDraftVariable] = [] + if outputs is None: + outputs = {} + if process_data is None: + process_data = {} + if not self._should_save_output_variables_for_draft(): + return + if self._node_type == NodeType.VARIABLE_ASSIGNER: + draft_vars = self._build_from_variable_assigner_mapping(process_data=process_data) + elif self._node_type == NodeType.START: + draft_vars = self._build_variables_from_start_mapping(outputs) + else: + draft_vars = self._build_variables_from_mapping(outputs) + _batch_upsert_draft_varaible(self._session, draft_vars) + + @staticmethod + def _should_variable_be_editable(node_id: str, name: str) -> bool: + if node_id in (CONVERSATION_VARIABLE_NODE_ID, ENVIRONMENT_VARIABLE_NODE_ID): + return False + if node_id == SYSTEM_VARIABLE_NODE_ID and not is_system_variable_editable(name): + return False + return True + + @staticmethod + def _should_variable_be_visible(node_id: str, node_type: NodeType, name: str) -> bool: + if node_type in NodeType.IF_ELSE: + return False + if node_id == SYSTEM_VARIABLE_NODE_ID and not is_system_variable_editable(name): + return False + return True + + def _should_variable_be_saved(self, name: str) -> bool: + exclude_var_names = self._EXCLUDE_VARIABLE_NAMES_MAPPING.get(self._node_type) + if exclude_var_names is None: + return True + return name not in exclude_var_names diff --git a/api/services/workflow_service.py b/api/services/workflow_service.py index bc213ccce6..0fd94ac86e 100644 --- a/api/services/workflow_service.py +++ b/api/services/workflow_service.py @@ -1,6 +1,7 @@ import json import time -from collections.abc import Callable, Generator, Sequence +import uuid +from collections.abc import Callable, Generator, Mapping, Sequence from datetime import UTC, datetime from typing import Any, Optional from uuid import uuid4 @@ -8,12 +9,17 @@ from uuid import uuid4 from sqlalchemy import select from sqlalchemy.orm import Session +from core.app.app_config.entities import VariableEntityType from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager +from core.app.entities.app_invoke_entities import InvokeFrom +from core.file import File from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository from core.variables import Variable from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.variable_pool import VariablePool from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus +from core.workflow.enums import SystemVariableKey from core.workflow.errors import WorkflowNodeRunFailedError from core.workflow.graph_engine.entities.event import InNodeEvent from core.workflow.nodes import NodeType @@ -22,9 +28,11 @@ from core.workflow.nodes.enums import ErrorStrategy from core.workflow.nodes.event import RunCompletedEvent from core.workflow.nodes.event.types import NodeEvent from core.workflow.nodes.node_mapping import LATEST_VERSION, NODE_TYPE_CLASSES_MAPPING +from core.workflow.nodes.start.entities import StartNodeData from core.workflow.workflow_entry import WorkflowEntry from events.app_event import app_draft_workflow_was_synced, app_published_workflow_was_updated from extensions.ext_database import db +from factories.file_factory import build_from_mapping, build_from_mappings from models.account import Account from models.model import App, AppMode from models.tools import WorkflowToolProvider @@ -34,10 +42,15 @@ from models.workflow import ( WorkflowNodeExecutionTriggeredFrom, WorkflowType, ) -from services.errors.app import WorkflowHashNotEqualError +from services.errors.app import IsDraftWorkflowError, WorkflowHashNotEqualError from services.workflow.workflow_converter import WorkflowConverter from .errors.workflow_service import DraftWorkflowDeletionError, WorkflowInUseError +from .workflow_draft_variable_service import ( + DraftVariableSaver, + DraftVarLoader, + WorkflowDraftVariableService, +) class WorkflowService: @@ -45,6 +58,33 @@ class WorkflowService: Workflow Service """ + def get_node_last_run(self, app_model: App, workflow: Workflow, node_id: str) -> WorkflowNodeExecutionModel | None: + # TODO(QuantumGhost): This query is not fully covered by index. + criteria = ( + WorkflowNodeExecutionModel.tenant_id == app_model.tenant_id, + WorkflowNodeExecutionModel.app_id == app_model.id, + WorkflowNodeExecutionModel.workflow_id == workflow.id, + WorkflowNodeExecutionModel.node_id == node_id, + ) + node_exec = ( + db.session.query(WorkflowNodeExecutionModel) + .filter(*criteria) + .order_by(WorkflowNodeExecutionModel.created_at.desc()) + .first() + ) + return node_exec + + def is_workflow_exist(self, app_model: App) -> bool: + return ( + db.session.query(Workflow) + .filter( + Workflow.tenant_id == app_model.tenant_id, + Workflow.app_id == app_model.id, + Workflow.version == Workflow.VERSION_DRAFT, + ) + .count() + ) > 0 + def get_draft_workflow(self, app_model: App) -> Optional[Workflow]: """ Get draft workflow @@ -61,6 +101,23 @@ class WorkflowService: # return draft workflow return workflow + def get_published_workflow_by_id(self, app_model: App, workflow_id: str) -> Optional[Workflow]: + # fetch published workflow by workflow_id + workflow = ( + db.session.query(Workflow) + .filter( + Workflow.tenant_id == app_model.tenant_id, + Workflow.app_id == app_model.id, + Workflow.id == workflow_id, + ) + .first() + ) + if not workflow: + return None + if workflow.version == Workflow.VERSION_DRAFT: + raise IsDraftWorkflowError(f"Workflow is draft version, id={workflow_id}") + return workflow + def get_published_workflow(self, app_model: App) -> Optional[Workflow]: """ Get published workflow @@ -199,7 +256,7 @@ class WorkflowService: tenant_id=app_model.tenant_id, app_id=app_model.id, type=draft_workflow.type, - version=str(datetime.now(UTC).replace(tzinfo=None)), + version=Workflow.version_from_datetime(datetime.now(UTC).replace(tzinfo=None)), graph=draft_workflow.graph, features=draft_workflow.features, created_by=account.id, @@ -253,26 +310,85 @@ class WorkflowService: return default_config def run_draft_workflow_node( - self, app_model: App, node_id: str, user_inputs: dict, account: Account + self, + app_model: App, + draft_workflow: Workflow, + node_id: str, + user_inputs: Mapping[str, Any], + account: Account, + query: str = "", + files: Sequence[File] | None = None, ) -> WorkflowNodeExecutionModel: """ Run draft workflow node """ - # fetch draft workflow by app_model - draft_workflow = self.get_draft_workflow(app_model=app_model) - if not draft_workflow: - raise ValueError("Workflow not initialized") + files = files or [] + + with Session(bind=db.engine, expire_on_commit=False) as session, session.begin(): + draft_var_srv = WorkflowDraftVariableService(session) + draft_var_srv.prefill_conversation_variable_default_values(draft_workflow) + + node_config = draft_workflow.get_node_config_by_id(node_id) + node_type = Workflow.get_node_type_from_node_config(node_config) + node_data = node_config.get("data", {}) + if node_type == NodeType.START: + with Session(bind=db.engine) as session, session.begin(): + draft_var_srv = WorkflowDraftVariableService(session) + conversation_id = draft_var_srv.get_or_create_conversation( + account_id=account.id, + app=app_model, + workflow=draft_workflow, + ) + start_data = StartNodeData.model_validate(node_data) + user_inputs = _rebuild_file_for_user_inputs_in_start_node( + tenant_id=draft_workflow.tenant_id, start_node_data=start_data, user_inputs=user_inputs + ) + # init variable pool + variable_pool = _setup_variable_pool( + query=query, + files=files or [], + user_id=account.id, + user_inputs=user_inputs, + workflow=draft_workflow, + # NOTE(QuantumGhost): We rely on `DraftVarLoader` to load conversation variables. + conversation_variables=[], + node_type=node_type, + conversation_id=conversation_id, + ) + + else: + variable_pool = VariablePool( + system_variables={}, + user_inputs=user_inputs, + environment_variables=draft_workflow.environment_variables, + conversation_variables=[], + ) + + variable_loader = DraftVarLoader( + engine=db.engine, + app_id=app_model.id, + tenant_id=app_model.tenant_id, + ) + + eclosing_node_type_and_id = draft_workflow.get_enclosing_node_type_and_id(node_config) + if eclosing_node_type_and_id: + _, enclosing_node_id = eclosing_node_type_and_id + else: + enclosing_node_id = None + + run = WorkflowEntry.single_step_run( + workflow=draft_workflow, + node_id=node_id, + user_inputs=user_inputs, + user_id=account.id, + variable_pool=variable_pool, + variable_loader=variable_loader, + ) # run draft workflow node start_at = time.perf_counter() - node_execution = self._handle_node_run_result( - invoke_node_fn=lambda: WorkflowEntry.single_step_run( - workflow=draft_workflow, - node_id=node_id, - user_inputs=user_inputs, - user_id=account.id, - ), + invoke_node_fn=lambda: run, start_at=start_at, node_id=node_id, ) @@ -292,6 +408,18 @@ class WorkflowService: # Convert node_execution to WorkflowNodeExecution after save workflow_node_execution = repository.to_db_model(node_execution) + with Session(bind=db.engine) as session, session.begin(): + draft_var_saver = DraftVariableSaver( + session=session, + app_id=app_model.id, + node_id=workflow_node_execution.node_id, + node_type=NodeType(workflow_node_execution.node_type), + invoke_from=InvokeFrom.DEBUGGER, + enclosing_node_id=enclosing_node_id, + node_execution_id=node_execution.id, + ) + draft_var_saver.save(process_data=node_execution.process_data, outputs=node_execution.outputs) + session.commit() return workflow_node_execution def run_free_workflow_node( @@ -332,7 +460,7 @@ class WorkflowService: node_run_result = event.run_result # sign output files - node_run_result.outputs = WorkflowEntry.handle_special_values(node_run_result.outputs) + # node_run_result.outputs = WorkflowEntry.handle_special_values(node_run_result.outputs) break if not node_run_result: @@ -394,7 +522,7 @@ class WorkflowService: if node_run_result.process_data else None ) - outputs = WorkflowEntry.handle_special_values(node_run_result.outputs) if node_run_result.outputs else None + outputs = node_run_result.outputs node_execution.inputs = inputs node_execution.process_data = process_data @@ -531,3 +659,83 @@ class WorkflowService: session.delete(workflow) return True + + +def _setup_variable_pool( + query: str, + files: Sequence[File], + user_id: str, + user_inputs: Mapping[str, Any], + workflow: Workflow, + node_type: NodeType, + conversation_id: str, + conversation_variables: list[Variable], +): + # Only inject system variables for START node type. + if node_type == NodeType.START: + # Create a variable pool. + system_inputs: dict[SystemVariableKey, Any] = { + # From inputs: + SystemVariableKey.FILES: files, + SystemVariableKey.USER_ID: user_id, + # From workflow model + SystemVariableKey.APP_ID: workflow.app_id, + SystemVariableKey.WORKFLOW_ID: workflow.id, + # Randomly generated. + SystemVariableKey.WORKFLOW_EXECUTION_ID: str(uuid.uuid4()), + } + + # Only add chatflow-specific variables for non-workflow types + if workflow.type != WorkflowType.WORKFLOW.value: + system_inputs.update( + { + SystemVariableKey.QUERY: query, + SystemVariableKey.CONVERSATION_ID: conversation_id, + SystemVariableKey.DIALOGUE_COUNT: 0, + } + ) + else: + system_inputs = {} + + # init variable pool + variable_pool = VariablePool( + system_variables=system_inputs, + user_inputs=user_inputs, + environment_variables=workflow.environment_variables, + conversation_variables=conversation_variables, + ) + + return variable_pool + + +def _rebuild_file_for_user_inputs_in_start_node( + tenant_id: str, start_node_data: StartNodeData, user_inputs: Mapping[str, Any] +) -> Mapping[str, Any]: + inputs_copy = dict(user_inputs) + + for variable in start_node_data.variables: + if variable.type not in (VariableEntityType.FILE, VariableEntityType.FILE_LIST): + continue + if variable.variable not in user_inputs: + continue + value = user_inputs[variable.variable] + file = _rebuild_single_file(tenant_id=tenant_id, value=value, variable_entity_type=variable.type) + inputs_copy[variable.variable] = file + return inputs_copy + + +def _rebuild_single_file(tenant_id: str, value: Any, variable_entity_type: VariableEntityType) -> File | Sequence[File]: + if variable_entity_type == VariableEntityType.FILE: + if not isinstance(value, dict): + raise ValueError(f"expected dict for file object, got {type(value)}") + return build_from_mapping(mapping=value, tenant_id=tenant_id) + elif variable_entity_type == VariableEntityType.FILE_LIST: + if not isinstance(value, list): + raise ValueError(f"expected list for file list object, got {type(value)}") + if len(value) == 0: + return [] + if not isinstance(value[0], dict): + raise ValueError(f"expected dict for first element in the file list, got {type(value)}") + return build_from_mappings(mappings=value, tenant_id=tenant_id) + else: + raise Exception("unreachable") diff --git a/api/tests/integration_tests/.env.example b/api/tests/integration_tests/.env.example index 9e40a8494d..4046096c27 100644 --- a/api/tests/integration_tests/.env.example +++ b/api/tests/integration_tests/.env.example @@ -1,107 +1,217 @@ -# OpenAI API Key -OPENAI_API_KEY= +FLASK_APP=app.py +FLASK_DEBUG=0 +SECRET_KEY='uhySf6a3aZuvRNfAlcr47paOw9TRYBY6j8ZHXpVw1yx5RP27Yj3w2uvI' -# Azure OpenAI API Base Endpoint & API Key -AZURE_OPENAI_API_BASE= -AZURE_OPENAI_API_KEY= +CONSOLE_API_URL=http://127.0.0.1:5001 +CONSOLE_WEB_URL=http://127.0.0.1:3000 -# Anthropic API Key -ANTHROPIC_API_KEY= +# Service API base URL +SERVICE_API_URL=http://127.0.0.1:5001 -# Replicate API Key -REPLICATE_API_KEY= +# Web APP base URL +APP_WEB_URL=http://127.0.0.1:3000 -# Hugging Face API Key -HUGGINGFACE_API_KEY= -HUGGINGFACE_TEXT_GEN_ENDPOINT_URL= -HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL= -HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL= +# Files URL +FILES_URL=http://127.0.0.1:5001 -# Minimax Credentials -MINIMAX_API_KEY= -MINIMAX_GROUP_ID= +# The time in seconds after the signature is rejected +FILES_ACCESS_TIMEOUT=300 -# Spark Credentials -SPARK_APP_ID= -SPARK_API_KEY= -SPARK_API_SECRET= +# Access token expiration time in minutes +ACCESS_TOKEN_EXPIRE_MINUTES=60 -# Tongyi Credentials -TONGYI_DASHSCOPE_API_KEY= +# Refresh token expiration time in days +REFRESH_TOKEN_EXPIRE_DAYS=30 -# Wenxin Credentials -WENXIN_API_KEY= -WENXIN_SECRET_KEY= +# celery configuration +CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1 -# ZhipuAI Credentials -ZHIPUAI_API_KEY= +# redis configuration +REDIS_HOST=localhost +REDIS_PORT=6379 +REDIS_USERNAME= +REDIS_PASSWORD=difyai123456 +REDIS_USE_SSL=false +REDIS_DB=0 -# Baichuan Credentials -BAICHUAN_API_KEY= -BAICHUAN_SECRET_KEY= +# PostgreSQL database configuration +DB_USERNAME=postgres +DB_PASSWORD=difyai123456 +DB_HOST=localhost +DB_PORT=5432 +DB_DATABASE=dify -# ChatGLM Credentials -CHATGLM_API_BASE= +# Storage configuration +# use for store upload files, private keys... +# storage type: opendal, s3, aliyun-oss, azure-blob, baidu-obs, google-storage, huawei-obs, oci-storage, tencent-cos, volcengine-tos, supabase +STORAGE_TYPE=opendal -# Xinference Credentials -XINFERENCE_SERVER_URL= -XINFERENCE_GENERATION_MODEL_UID= -XINFERENCE_CHAT_MODEL_UID= -XINFERENCE_EMBEDDINGS_MODEL_UID= -XINFERENCE_RERANK_MODEL_UID= +# Apache OpenDAL storage configuration, refer to https://github.com/apache/opendal +OPENDAL_SCHEME=fs +OPENDAL_FS_ROOT=storage -# OpenLLM Credentials -OPENLLM_SERVER_URL= +# CORS configuration +WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,* +CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,* -# LocalAI Credentials -LOCALAI_SERVER_URL= +# Vector database configuration +# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase +VECTOR_STORE=weaviate +# Weaviate configuration +WEAVIATE_ENDPOINT=http://localhost:8080 +WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih +WEAVIATE_GRPC_ENABLED=false +WEAVIATE_BATCH_SIZE=100 -# Cohere Credentials -COHERE_API_KEY= -# Jina Credentials -JINA_API_KEY= +# Upload configuration +UPLOAD_FILE_SIZE_LIMIT=15 +UPLOAD_FILE_BATCH_LIMIT=5 +UPLOAD_IMAGE_FILE_SIZE_LIMIT=10 +UPLOAD_VIDEO_FILE_SIZE_LIMIT=100 +UPLOAD_AUDIO_FILE_SIZE_LIMIT=50 -# Ollama Credentials -OLLAMA_BASE_URL= +# Model configuration +MULTIMODAL_SEND_FORMAT=base64 +PROMPT_GENERATION_MAX_TOKENS=4096 +CODE_GENERATION_MAX_TOKENS=1024 -# Together API Key -TOGETHER_API_KEY= +# Mail configuration, support: resend, smtp +MAIL_TYPE= +MAIL_DEFAULT_SEND_FROM=no-reply +RESEND_API_KEY= +RESEND_API_URL=https://api.resend.com +# smtp configuration +SMTP_SERVER=smtp.example.com +SMTP_PORT=465 +SMTP_USERNAME=123 +SMTP_PASSWORD=abc +SMTP_USE_TLS=true +SMTP_OPPORTUNISTIC_TLS=false -# Mock Switch -MOCK_SWITCH=false +# Sentry configuration +SENTRY_DSN= + +# DEBUG +DEBUG=false +SQLALCHEMY_ECHO=false + +# Notion import configuration, support public and internal +NOTION_INTEGRATION_TYPE=public +NOTION_CLIENT_SECRET=you-client-secret +NOTION_CLIENT_ID=you-client-id +NOTION_INTERNAL_SECRET=you-internal-secret + +ETL_TYPE=dify +UNSTRUCTURED_API_URL= +UNSTRUCTURED_API_KEY= +SCARF_NO_ANALYTICS=false + +#ssrf +SSRF_PROXY_HTTP_URL= +SSRF_PROXY_HTTPS_URL= +SSRF_DEFAULT_MAX_RETRIES=3 +SSRF_DEFAULT_TIME_OUT=5 +SSRF_DEFAULT_CONNECT_TIME_OUT=5 +SSRF_DEFAULT_READ_TIME_OUT=5 +SSRF_DEFAULT_WRITE_TIME_OUT=5 + +BATCH_UPLOAD_LIMIT=10 +KEYWORD_DATA_SOURCE_TYPE=database + +# Workflow file upload limit +WORKFLOW_FILE_UPLOAD_LIMIT=10 # CODE EXECUTION CONFIGURATION -CODE_EXECUTION_ENDPOINT= -CODE_EXECUTION_API_KEY= +CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194 +CODE_EXECUTION_API_KEY=dify-sandbox +CODE_MAX_NUMBER=9223372036854775807 +CODE_MIN_NUMBER=-9223372036854775808 +CODE_MAX_STRING_LENGTH=80000 +TEMPLATE_TRANSFORM_MAX_LENGTH=80000 +CODE_MAX_STRING_ARRAY_LENGTH=30 +CODE_MAX_OBJECT_ARRAY_LENGTH=30 +CODE_MAX_NUMBER_ARRAY_LENGTH=1000 -# Volcengine MaaS Credentials -VOLC_API_KEY= -VOLC_SECRET_KEY= -VOLC_MODEL_ENDPOINT_ID= -VOLC_EMBEDDING_ENDPOINT_ID= +# API Tool configuration +API_TOOL_DEFAULT_CONNECT_TIMEOUT=10 +API_TOOL_DEFAULT_READ_TIMEOUT=60 -# 360 AI Credentials -ZHINAO_API_KEY= +# HTTP Node configuration +HTTP_REQUEST_MAX_CONNECT_TIMEOUT=300 +HTTP_REQUEST_MAX_READ_TIMEOUT=600 +HTTP_REQUEST_MAX_WRITE_TIMEOUT=600 +HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760 +HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 + +# Respect X-* headers to redirect clients +RESPECT_XFORWARD_HEADERS_ENABLED=false + +# Log file path +LOG_FILE= +# Log file max size, the unit is MB +LOG_FILE_MAX_SIZE=20 +# Log file max backup count +LOG_FILE_BACKUP_COUNT=5 +# Log dateformat +LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S +# Log Timezone +LOG_TZ=UTC +# Log format +LOG_FORMAT=%(asctime)s,%(msecs)d %(levelname)-2s [%(filename)s:%(lineno)d] %(req_id)s %(message)s + +# Indexing configuration +INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000 + +# Workflow runtime configuration +WORKFLOW_MAX_EXECUTION_STEPS=500 +WORKFLOW_MAX_EXECUTION_TIME=1200 +WORKFLOW_CALL_MAX_DEPTH=5 +WORKFLOW_PARALLEL_DEPTH_LIMIT=3 +MAX_VARIABLE_SIZE=204800 + +# App configuration +APP_MAX_EXECUTION_TIME=1200 +APP_MAX_ACTIVE_REQUESTS=0 + +# Celery beat configuration +CELERY_BEAT_SCHEDULER_TIME=1 + +# Position configuration +POSITION_TOOL_PINS= +POSITION_TOOL_INCLUDES= +POSITION_TOOL_EXCLUDES= + +POSITION_PROVIDER_PINS= +POSITION_PROVIDER_INCLUDES= +POSITION_PROVIDER_EXCLUDES= # Plugin configuration -PLUGIN_DAEMON_KEY= -PLUGIN_DAEMON_URL= +PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi +PLUGIN_DAEMON_URL=http://127.0.0.1:5002 +PLUGIN_REMOTE_INSTALL_PORT=5003 +PLUGIN_REMOTE_INSTALL_HOST=localhost +PLUGIN_MAX_PACKAGE_SIZE=15728640 +INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 # Marketplace configuration -MARKETPLACE_API_URL= -# VESSL AI Credentials -VESSL_AI_MODEL_NAME= -VESSL_AI_API_KEY= -VESSL_AI_ENDPOINT_URL= +MARKETPLACE_ENABLED=true +MARKETPLACE_API_URL=https://marketplace.dify.ai -# GPUStack Credentials -GPUSTACK_SERVER_URL= -GPUSTACK_API_KEY= +# Endpoint configuration +ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id} -# Gitee AI Credentials -GITEE_AI_API_KEY= +# Reset password token expiry minutes +RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5 -# xAI Credentials -XAI_API_KEY= -XAI_API_BASE= +CREATE_TIDB_SERVICE_JOB_ENABLED=false + +# Maximum number of submitted thread count in a ThreadPool for parallel node execution +MAX_SUBMIT_COUNT=100 +# Lockout duration in seconds +LOGIN_LOCKOUT_DURATION=86400 + +HTTP_PROXY='http://127.0.0.1:1092' +HTTPS_PROXY='http://127.0.0.1:1092' +NO_PROXY='localhost,127.0.0.1' +LOG_LEVEL=INFO diff --git a/api/tests/integration_tests/conftest.py b/api/tests/integration_tests/conftest.py index 6e3ab4b74b..d9f90f992e 100644 --- a/api/tests/integration_tests/conftest.py +++ b/api/tests/integration_tests/conftest.py @@ -1,19 +1,91 @@ -import os +import pathlib +import random +import secrets +from collections.abc import Generator -# Getting the absolute path of the current file's directory -ABS_PATH = os.path.dirname(os.path.abspath(__file__)) +import pytest +from flask import Flask +from flask.testing import FlaskClient +from sqlalchemy.orm import Session -# Getting the absolute path of the project's root directory -PROJECT_DIR = os.path.abspath(os.path.join(ABS_PATH, os.pardir, os.pardir)) +from app_factory import create_app +from models import Account, DifySetup, Tenant, TenantAccountJoin, db +from services.account_service import AccountService, RegisterService # Loading the .env file if it exists def _load_env() -> None: - dotenv_path = os.path.join(PROJECT_DIR, "tests", "integration_tests", ".env") - if os.path.exists(dotenv_path): + current_file_path = pathlib.Path(__file__).absolute() + # Items later in the list have higher precedence. + files_to_load = [".env", "vdb.env"] + + env_file_paths = [current_file_path.parent / i for i in files_to_load] + for path in env_file_paths: + if not path.exists(): + continue + from dotenv import load_dotenv - load_dotenv(dotenv_path) + # Set `override=True` to ensure values from `vdb.env` take priority over values from `.env` + load_dotenv(str(path), override=True) _load_env() + +_CACHED_APP = create_app() + + +@pytest.fixture +def flask_app() -> Flask: + return _CACHED_APP + + +@pytest.fixture(scope="session") +def setup_account(request) -> Generator[Account, None, None]: + """`dify_setup` completes the setup process for the Dify application. + + It creates `Account` and `Tenant`, and inserts a `DifySetup` record into the database. + + Most tests in the `controllers` package may require dify has been successfully setup. + """ + with _CACHED_APP.test_request_context(): + rand_suffix = random.randint(int(1e6), int(1e7)) # noqa + name = f"test-user-{rand_suffix}" + email = f"{name}@example.com" + RegisterService.setup( + email=email, + name=name, + password=secrets.token_hex(16), + ip_address="localhost", + ) + + with _CACHED_APP.test_request_context(): + with Session(bind=db.engine, expire_on_commit=False) as session: + account = session.query(Account).filter_by(email=email).one() + + yield account + + with _CACHED_APP.test_request_context(): + db.session.query(DifySetup).delete() + db.session.query(TenantAccountJoin).delete() + db.session.query(Account).delete() + db.session.query(Tenant).delete() + db.session.commit() + + +@pytest.fixture +def flask_req_ctx(): + with _CACHED_APP.test_request_context(): + yield + + +@pytest.fixture +def auth_header(setup_account) -> dict[str, str]: + token = AccountService.get_account_jwt_token(setup_account) + return {"Authorization": f"Bearer {token}"} + + +@pytest.fixture +def test_client() -> Generator[FlaskClient, None, None]: + with _CACHED_APP.test_client() as client: + yield client diff --git a/api/tests/integration_tests/controllers/app_fixture.py b/api/tests/integration_tests/controllers/app_fixture.py deleted file mode 100644 index 32e8c11d19..0000000000 --- a/api/tests/integration_tests/controllers/app_fixture.py +++ /dev/null @@ -1,25 +0,0 @@ -import pytest - -from app_factory import create_app -from configs import dify_config - -mock_user = type( - "MockUser", - (object,), - { - "is_authenticated": True, - "id": "123", - "is_editor": True, - "is_dataset_editor": True, - "status": "active", - "get_id": "123", - "current_tenant_id": "9d2074fc-6f86-45a9-b09d-6ecc63b9056b", - }, -) - - -@pytest.fixture -def app(): - app = create_app() - dify_config.LOGIN_DISABLED = True - return app diff --git a/api/tests/integration_tests/controllers/console/__init__.py b/api/tests/integration_tests/controllers/console/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/controllers/console/app/__init__.py b/api/tests/integration_tests/controllers/console/app/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/controllers/console/app/test_workflow_draft_variable.py b/api/tests/integration_tests/controllers/console/app/test_workflow_draft_variable.py new file mode 100644 index 0000000000..038f37af5f --- /dev/null +++ b/api/tests/integration_tests/controllers/console/app/test_workflow_draft_variable.py @@ -0,0 +1,47 @@ +import uuid +from unittest import mock + +from controllers.console.app import workflow_draft_variable as draft_variable_api +from controllers.console.app import wraps +from factories.variable_factory import build_segment +from models import App, AppMode +from models.workflow import WorkflowDraftVariable +from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService + + +def _get_mock_srv_class() -> type[WorkflowDraftVariableService]: + return mock.create_autospec(WorkflowDraftVariableService) + + +class TestWorkflowDraftNodeVariableListApi: + def test_get(self, test_client, auth_header, monkeypatch): + srv_class = _get_mock_srv_class() + mock_app_model: App = App() + mock_app_model.id = str(uuid.uuid4()) + test_node_id = "test_node_id" + mock_app_model.mode = AppMode.ADVANCED_CHAT + mock_load_app_model = mock.Mock(return_value=mock_app_model) + + monkeypatch.setattr(draft_variable_api, "WorkflowDraftVariableService", srv_class) + monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model) + + var1 = WorkflowDraftVariable.new_node_variable( + app_id="test_app_1", + node_id="test_node_1", + name="str_var", + value=build_segment("str_value"), + node_execution_id=str(uuid.uuid4()), + ) + srv_instance = mock.create_autospec(WorkflowDraftVariableService, instance=True) + srv_class.return_value = srv_instance + srv_instance.list_node_variables.return_value = WorkflowDraftVariableList(variables=[var1]) + + response = test_client.get( + f"/console/api/apps/{mock_app_model.id}/workflows/draft/nodes/{test_node_id}/variables", + headers=auth_header, + ) + assert response.status_code == 200 + response_dict = response.json + assert isinstance(response_dict, dict) + assert "items" in response_dict + assert len(response_dict["items"]) == 1 diff --git a/api/tests/integration_tests/controllers/test_controllers.py b/api/tests/integration_tests/controllers/test_controllers.py deleted file mode 100644 index 276ad3a7ed..0000000000 --- a/api/tests/integration_tests/controllers/test_controllers.py +++ /dev/null @@ -1,9 +0,0 @@ -from unittest.mock import patch - -from app_fixture import mock_user # type: ignore - - -def test_post_requires_login(app): - with app.test_client() as client, patch("flask_login.utils._get_user", mock_user): - response = client.get("/console/api/data-source/integrates") - assert response.status_code == 200 diff --git a/api/tests/integration_tests/factories/__init__.py b/api/tests/integration_tests/factories/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/factories/test_storage_key_loader.py b/api/tests/integration_tests/factories/test_storage_key_loader.py new file mode 100644 index 0000000000..fecb3f6d95 --- /dev/null +++ b/api/tests/integration_tests/factories/test_storage_key_loader.py @@ -0,0 +1,371 @@ +import unittest +from datetime import UTC, datetime +from typing import Optional +from unittest.mock import patch +from uuid import uuid4 + +import pytest +from sqlalchemy.orm import Session + +from core.file import File, FileTransferMethod, FileType +from extensions.ext_database import db +from factories.file_factory import StorageKeyLoader +from models import ToolFile, UploadFile +from models.enums import CreatorUserRole + + +@pytest.mark.usefixtures("flask_req_ctx") +class TestStorageKeyLoader(unittest.TestCase): + """ + Integration tests for StorageKeyLoader class. + + Tests the batched loading of storage keys from the database for files + with different transfer methods: LOCAL_FILE, REMOTE_URL, and TOOL_FILE. + """ + + def setUp(self): + """Set up test data before each test method.""" + self.session = db.session() + self.tenant_id = str(uuid4()) + self.user_id = str(uuid4()) + self.conversation_id = str(uuid4()) + + # Create test data that will be cleaned up after each test + self.test_upload_files = [] + self.test_tool_files = [] + + # Create StorageKeyLoader instance + self.loader = StorageKeyLoader(self.session, self.tenant_id) + + def tearDown(self): + """Clean up test data after each test method.""" + self.session.rollback() + + def _create_upload_file( + self, file_id: Optional[str] = None, storage_key: Optional[str] = None, tenant_id: Optional[str] = None + ) -> UploadFile: + """Helper method to create an UploadFile record for testing.""" + if file_id is None: + file_id = str(uuid4()) + if storage_key is None: + storage_key = f"test_storage_key_{uuid4()}" + if tenant_id is None: + tenant_id = self.tenant_id + + upload_file = UploadFile( + tenant_id=tenant_id, + storage_type="local", + key=storage_key, + name="test_file.txt", + size=1024, + extension=".txt", + mime_type="text/plain", + created_by_role=CreatorUserRole.ACCOUNT, + created_by=self.user_id, + created_at=datetime.now(UTC), + used=False, + ) + upload_file.id = file_id + + self.session.add(upload_file) + self.session.flush() + self.test_upload_files.append(upload_file) + + return upload_file + + def _create_tool_file( + self, file_id: Optional[str] = None, file_key: Optional[str] = None, tenant_id: Optional[str] = None + ) -> ToolFile: + """Helper method to create a ToolFile record for testing.""" + if file_id is None: + file_id = str(uuid4()) + if file_key is None: + file_key = f"test_file_key_{uuid4()}" + if tenant_id is None: + tenant_id = self.tenant_id + + tool_file = ToolFile() + tool_file.id = file_id + tool_file.user_id = self.user_id + tool_file.tenant_id = tenant_id + tool_file.conversation_id = self.conversation_id + tool_file.file_key = file_key + tool_file.mimetype = "text/plain" + tool_file.original_url = "http://example.com/file.txt" + tool_file.name = "test_tool_file.txt" + tool_file.size = 2048 + + self.session.add(tool_file) + self.session.flush() + self.test_tool_files.append(tool_file) + + return tool_file + + def _create_file( + self, related_id: str, transfer_method: FileTransferMethod, tenant_id: Optional[str] = None + ) -> File: + """Helper method to create a File object for testing.""" + if tenant_id is None: + tenant_id = self.tenant_id + + # Set related_id for LOCAL_FILE and TOOL_FILE transfer methods + file_related_id = None + remote_url = None + + if transfer_method in (FileTransferMethod.LOCAL_FILE, FileTransferMethod.TOOL_FILE): + file_related_id = related_id + elif transfer_method == FileTransferMethod.REMOTE_URL: + remote_url = "https://example.com/test_file.txt" + file_related_id = related_id + + return File( + id=str(uuid4()), # Generate new UUID for File.id + tenant_id=tenant_id, + type=FileType.DOCUMENT, + transfer_method=transfer_method, + related_id=file_related_id, + remote_url=remote_url, + filename="test_file.txt", + extension=".txt", + mime_type="text/plain", + size=1024, + storage_key="initial_key", + ) + + def test_load_storage_keys_local_file(self): + """Test loading storage keys for LOCAL_FILE transfer method.""" + # Create test data + upload_file = self._create_upload_file() + file = self._create_file(related_id=upload_file.id, transfer_method=FileTransferMethod.LOCAL_FILE) + + # Load storage keys + self.loader.load_storage_keys([file]) + + # Verify storage key was loaded correctly + assert file._storage_key == upload_file.key + + def test_load_storage_keys_remote_url(self): + """Test loading storage keys for REMOTE_URL transfer method.""" + # Create test data + upload_file = self._create_upload_file() + file = self._create_file(related_id=upload_file.id, transfer_method=FileTransferMethod.REMOTE_URL) + + # Load storage keys + self.loader.load_storage_keys([file]) + + # Verify storage key was loaded correctly + assert file._storage_key == upload_file.key + + def test_load_storage_keys_tool_file(self): + """Test loading storage keys for TOOL_FILE transfer method.""" + # Create test data + tool_file = self._create_tool_file() + file = self._create_file(related_id=tool_file.id, transfer_method=FileTransferMethod.TOOL_FILE) + + # Load storage keys + self.loader.load_storage_keys([file]) + + # Verify storage key was loaded correctly + assert file._storage_key == tool_file.file_key + + def test_load_storage_keys_mixed_methods(self): + """Test batch loading with mixed transfer methods.""" + # Create test data for different transfer methods + upload_file1 = self._create_upload_file() + upload_file2 = self._create_upload_file() + tool_file = self._create_tool_file() + + file1 = self._create_file(related_id=upload_file1.id, transfer_method=FileTransferMethod.LOCAL_FILE) + file2 = self._create_file(related_id=upload_file2.id, transfer_method=FileTransferMethod.REMOTE_URL) + file3 = self._create_file(related_id=tool_file.id, transfer_method=FileTransferMethod.TOOL_FILE) + + files = [file1, file2, file3] + + # Load storage keys + self.loader.load_storage_keys(files) + + # Verify all storage keys were loaded correctly + assert file1._storage_key == upload_file1.key + assert file2._storage_key == upload_file2.key + assert file3._storage_key == tool_file.file_key + + def test_load_storage_keys_empty_list(self): + """Test with empty file list.""" + # Should not raise any exceptions + self.loader.load_storage_keys([]) + + def test_load_storage_keys_tenant_mismatch(self): + """Test tenant_id validation.""" + # Create file with different tenant_id + upload_file = self._create_upload_file() + file = self._create_file( + related_id=upload_file.id, transfer_method=FileTransferMethod.LOCAL_FILE, tenant_id=str(uuid4()) + ) + + # Should raise ValueError for tenant mismatch + with pytest.raises(ValueError) as context: + self.loader.load_storage_keys([file]) + + assert "invalid file, expected tenant_id" in str(context.value) + + def test_load_storage_keys_missing_file_id(self): + """Test with None file.related_id.""" + # Create a file with valid parameters first, then manually set related_id to None + file = self._create_file(related_id=str(uuid4()), transfer_method=FileTransferMethod.LOCAL_FILE) + file.related_id = None + + # Should raise ValueError for None file related_id + with pytest.raises(ValueError) as context: + self.loader.load_storage_keys([file]) + + assert str(context.value) == "file id should not be None." + + def test_load_storage_keys_nonexistent_upload_file_records(self): + """Test with missing UploadFile database records.""" + # Create file with non-existent upload file id + non_existent_id = str(uuid4()) + file = self._create_file(related_id=non_existent_id, transfer_method=FileTransferMethod.LOCAL_FILE) + + # Should raise ValueError for missing record + with pytest.raises(ValueError): + self.loader.load_storage_keys([file]) + + def test_load_storage_keys_nonexistent_tool_file_records(self): + """Test with missing ToolFile database records.""" + # Create file with non-existent tool file id + non_existent_id = str(uuid4()) + file = self._create_file(related_id=non_existent_id, transfer_method=FileTransferMethod.TOOL_FILE) + + # Should raise ValueError for missing record + with pytest.raises(ValueError): + self.loader.load_storage_keys([file]) + + def test_load_storage_keys_invalid_uuid(self): + """Test with invalid UUID format.""" + # Create a file with valid parameters first, then manually set invalid related_id + file = self._create_file(related_id=str(uuid4()), transfer_method=FileTransferMethod.LOCAL_FILE) + file.related_id = "invalid-uuid-format" + + # Should raise ValueError for invalid UUID + with pytest.raises(ValueError): + self.loader.load_storage_keys([file]) + + def test_load_storage_keys_batch_efficiency(self): + """Test batched operations use efficient queries.""" + # Create multiple files of different types + upload_files = [self._create_upload_file() for _ in range(3)] + tool_files = [self._create_tool_file() for _ in range(2)] + + files = [] + files.extend( + [self._create_file(related_id=uf.id, transfer_method=FileTransferMethod.LOCAL_FILE) for uf in upload_files] + ) + files.extend( + [self._create_file(related_id=tf.id, transfer_method=FileTransferMethod.TOOL_FILE) for tf in tool_files] + ) + + # Mock the session to count queries + with patch.object(self.session, "scalars", wraps=self.session.scalars) as mock_scalars: + self.loader.load_storage_keys(files) + + # Should make exactly 2 queries (one for upload_files, one for tool_files) + assert mock_scalars.call_count == 2 + + # Verify all storage keys were loaded correctly + for i, file in enumerate(files[:3]): + assert file._storage_key == upload_files[i].key + for i, file in enumerate(files[3:]): + assert file._storage_key == tool_files[i].file_key + + def test_load_storage_keys_tenant_isolation(self): + """Test that tenant isolation works correctly.""" + # Create files for different tenants + other_tenant_id = str(uuid4()) + + # Create upload file for current tenant + upload_file_current = self._create_upload_file() + file_current = self._create_file( + related_id=upload_file_current.id, transfer_method=FileTransferMethod.LOCAL_FILE + ) + + # Create upload file for other tenant (but don't add to cleanup list) + upload_file_other = UploadFile( + tenant_id=other_tenant_id, + storage_type="local", + key="other_tenant_key", + name="other_file.txt", + size=1024, + extension=".txt", + mime_type="text/plain", + created_by_role=CreatorUserRole.ACCOUNT, + created_by=self.user_id, + created_at=datetime.now(UTC), + used=False, + ) + upload_file_other.id = str(uuid4()) + self.session.add(upload_file_other) + self.session.flush() + + # Create file for other tenant but try to load with current tenant's loader + file_other = self._create_file( + related_id=upload_file_other.id, transfer_method=FileTransferMethod.LOCAL_FILE, tenant_id=other_tenant_id + ) + + # Should raise ValueError due to tenant mismatch + with pytest.raises(ValueError) as context: + self.loader.load_storage_keys([file_other]) + + assert "invalid file, expected tenant_id" in str(context.value) + + # Current tenant's file should still work + self.loader.load_storage_keys([file_current]) + assert file_current._storage_key == upload_file_current.key + + def test_load_storage_keys_mixed_tenant_batch(self): + """Test batch with mixed tenant files (should fail on first mismatch).""" + # Create files for current tenant + upload_file_current = self._create_upload_file() + file_current = self._create_file( + related_id=upload_file_current.id, transfer_method=FileTransferMethod.LOCAL_FILE + ) + + # Create file for different tenant + other_tenant_id = str(uuid4()) + file_other = self._create_file( + related_id=str(uuid4()), transfer_method=FileTransferMethod.LOCAL_FILE, tenant_id=other_tenant_id + ) + + # Should raise ValueError on tenant mismatch + with pytest.raises(ValueError) as context: + self.loader.load_storage_keys([file_current, file_other]) + + assert "invalid file, expected tenant_id" in str(context.value) + + def test_load_storage_keys_duplicate_file_ids(self): + """Test handling of duplicate file IDs in the batch.""" + # Create upload file + upload_file = self._create_upload_file() + + # Create two File objects with same related_id + file1 = self._create_file(related_id=upload_file.id, transfer_method=FileTransferMethod.LOCAL_FILE) + file2 = self._create_file(related_id=upload_file.id, transfer_method=FileTransferMethod.LOCAL_FILE) + + # Should handle duplicates gracefully + self.loader.load_storage_keys([file1, file2]) + + # Both files should have the same storage key + assert file1._storage_key == upload_file.key + assert file2._storage_key == upload_file.key + + def test_load_storage_keys_session_isolation(self): + """Test that the loader uses the provided session correctly.""" + # Create test data + upload_file = self._create_upload_file() + file = self._create_file(related_id=upload_file.id, transfer_method=FileTransferMethod.LOCAL_FILE) + + # Create loader with different session (same underlying connection) + + with Session(bind=db.engine) as other_session: + other_loader = StorageKeyLoader(other_session, self.tenant_id) + with pytest.raises(ValueError): + other_loader.load_storage_keys([file]) diff --git a/api/tests/integration_tests/services/__init__.py b/api/tests/integration_tests/services/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/services/test_workflow_draft_variable_service.py b/api/tests/integration_tests/services/test_workflow_draft_variable_service.py new file mode 100644 index 0000000000..30cd2e60cb --- /dev/null +++ b/api/tests/integration_tests/services/test_workflow_draft_variable_service.py @@ -0,0 +1,501 @@ +import json +import unittest +import uuid + +import pytest +from sqlalchemy.orm import Session + +from core.variables.variables import StringVariable +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID +from core.workflow.nodes import NodeType +from factories.variable_factory import build_segment +from libs import datetime_utils +from models import db +from models.workflow import Workflow, WorkflowDraftVariable, WorkflowNodeExecutionModel +from services.workflow_draft_variable_service import DraftVarLoader, VariableResetError, WorkflowDraftVariableService + + +@pytest.mark.usefixtures("flask_req_ctx") +class TestWorkflowDraftVariableService(unittest.TestCase): + _test_app_id: str + _session: Session + _node1_id = "test_node_1" + _node2_id = "test_node_2" + _node_exec_id = str(uuid.uuid4()) + + def setUp(self): + self._test_app_id = str(uuid.uuid4()) + self._session: Session = db.session() + sys_var = WorkflowDraftVariable.new_sys_variable( + app_id=self._test_app_id, + name="sys_var", + value=build_segment("sys_value"), + node_execution_id=self._node_exec_id, + ) + conv_var = WorkflowDraftVariable.new_conversation_variable( + app_id=self._test_app_id, + name="conv_var", + value=build_segment("conv_value"), + ) + node2_vars = [ + WorkflowDraftVariable.new_node_variable( + app_id=self._test_app_id, + node_id=self._node2_id, + name="int_var", + value=build_segment(1), + visible=False, + node_execution_id=self._node_exec_id, + ), + WorkflowDraftVariable.new_node_variable( + app_id=self._test_app_id, + node_id=self._node2_id, + name="str_var", + value=build_segment("str_value"), + visible=True, + node_execution_id=self._node_exec_id, + ), + ] + node1_var = WorkflowDraftVariable.new_node_variable( + app_id=self._test_app_id, + node_id=self._node1_id, + name="str_var", + value=build_segment("str_value"), + visible=True, + node_execution_id=self._node_exec_id, + ) + _variables = list(node2_vars) + _variables.extend( + [ + node1_var, + sys_var, + conv_var, + ] + ) + + db.session.add_all(_variables) + db.session.flush() + self._variable_ids = [v.id for v in _variables] + self._node1_str_var_id = node1_var.id + self._sys_var_id = sys_var.id + self._conv_var_id = conv_var.id + self._node2_var_ids = [v.id for v in node2_vars] + + def _get_test_srv(self) -> WorkflowDraftVariableService: + return WorkflowDraftVariableService(session=self._session) + + def tearDown(self): + self._session.rollback() + + def test_list_variables(self): + srv = self._get_test_srv() + var_list = srv.list_variables_without_values(self._test_app_id, page=1, limit=2) + assert var_list.total == 5 + assert len(var_list.variables) == 2 + page1_var_ids = {v.id for v in var_list.variables} + assert page1_var_ids.issubset(self._variable_ids) + + var_list_2 = srv.list_variables_without_values(self._test_app_id, page=2, limit=2) + assert var_list_2.total is None + assert len(var_list_2.variables) == 2 + page2_var_ids = {v.id for v in var_list_2.variables} + assert page2_var_ids.isdisjoint(page1_var_ids) + assert page2_var_ids.issubset(self._variable_ids) + + def test_get_node_variable(self): + srv = self._get_test_srv() + node_var = srv.get_node_variable(self._test_app_id, self._node1_id, "str_var") + assert node_var is not None + assert node_var.id == self._node1_str_var_id + assert node_var.name == "str_var" + assert node_var.get_value() == build_segment("str_value") + + def test_get_system_variable(self): + srv = self._get_test_srv() + sys_var = srv.get_system_variable(self._test_app_id, "sys_var") + assert sys_var is not None + assert sys_var.id == self._sys_var_id + assert sys_var.name == "sys_var" + assert sys_var.get_value() == build_segment("sys_value") + + def test_get_conversation_variable(self): + srv = self._get_test_srv() + conv_var = srv.get_conversation_variable(self._test_app_id, "conv_var") + assert conv_var is not None + assert conv_var.id == self._conv_var_id + assert conv_var.name == "conv_var" + assert conv_var.get_value() == build_segment("conv_value") + + def test_delete_node_variables(self): + srv = self._get_test_srv() + srv.delete_node_variables(self._test_app_id, self._node2_id) + node2_var_count = ( + self._session.query(WorkflowDraftVariable) + .where( + WorkflowDraftVariable.app_id == self._test_app_id, + WorkflowDraftVariable.node_id == self._node2_id, + ) + .count() + ) + assert node2_var_count == 0 + + def test_delete_variable(self): + srv = self._get_test_srv() + node_1_var = ( + self._session.query(WorkflowDraftVariable).where(WorkflowDraftVariable.id == self._node1_str_var_id).one() + ) + srv.delete_variable(node_1_var) + exists = bool( + self._session.query(WorkflowDraftVariable).where(WorkflowDraftVariable.id == self._node1_str_var_id).first() + ) + assert exists is False + + def test__list_node_variables(self): + srv = self._get_test_srv() + node_vars = srv._list_node_variables(self._test_app_id, self._node2_id) + assert len(node_vars.variables) == 2 + assert {v.id for v in node_vars.variables} == set(self._node2_var_ids) + + def test_get_draft_variables_by_selectors(self): + srv = self._get_test_srv() + selectors = [ + [self._node1_id, "str_var"], + [self._node2_id, "str_var"], + [self._node2_id, "int_var"], + ] + variables = srv.get_draft_variables_by_selectors(self._test_app_id, selectors) + assert len(variables) == 3 + assert {v.id for v in variables} == {self._node1_str_var_id} | set(self._node2_var_ids) + + +@pytest.mark.usefixtures("flask_req_ctx") +class TestDraftVariableLoader(unittest.TestCase): + _test_app_id: str + _test_tenant_id: str + + _node1_id = "test_loader_node_1" + _node_exec_id = str(uuid.uuid4()) + + def setUp(self): + self._test_app_id = str(uuid.uuid4()) + self._test_tenant_id = str(uuid.uuid4()) + sys_var = WorkflowDraftVariable.new_sys_variable( + app_id=self._test_app_id, + name="sys_var", + value=build_segment("sys_value"), + node_execution_id=self._node_exec_id, + ) + conv_var = WorkflowDraftVariable.new_conversation_variable( + app_id=self._test_app_id, + name="conv_var", + value=build_segment("conv_value"), + ) + node_var = WorkflowDraftVariable.new_node_variable( + app_id=self._test_app_id, + node_id=self._node1_id, + name="str_var", + value=build_segment("str_value"), + visible=True, + node_execution_id=self._node_exec_id, + ) + _variables = [ + node_var, + sys_var, + conv_var, + ] + + with Session(bind=db.engine, expire_on_commit=False) as session: + session.add_all(_variables) + session.flush() + session.commit() + self._variable_ids = [v.id for v in _variables] + self._node_var_id = node_var.id + self._sys_var_id = sys_var.id + self._conv_var_id = conv_var.id + + def tearDown(self): + with Session(bind=db.engine, expire_on_commit=False) as session: + session.query(WorkflowDraftVariable).filter(WorkflowDraftVariable.app_id == self._test_app_id).delete( + synchronize_session=False + ) + session.commit() + + def test_variable_loader_with_empty_selector(self): + var_loader = DraftVarLoader(engine=db.engine, app_id=self._test_app_id, tenant_id=self._test_tenant_id) + variables = var_loader.load_variables([]) + assert len(variables) == 0 + + def test_variable_loader_with_non_empty_selector(self): + var_loader = DraftVarLoader(engine=db.engine, app_id=self._test_app_id, tenant_id=self._test_tenant_id) + variables = var_loader.load_variables( + [ + [SYSTEM_VARIABLE_NODE_ID, "sys_var"], + [CONVERSATION_VARIABLE_NODE_ID, "conv_var"], + [self._node1_id, "str_var"], + ] + ) + assert len(variables) == 3 + conv_var = next(v for v in variables if v.selector[0] == CONVERSATION_VARIABLE_NODE_ID) + assert conv_var.id == self._conv_var_id + sys_var = next(v for v in variables if v.selector[0] == SYSTEM_VARIABLE_NODE_ID) + assert sys_var.id == self._sys_var_id + node1_var = next(v for v in variables if v.selector[0] == self._node1_id) + assert node1_var.id == self._node_var_id + + +@pytest.mark.usefixtures("flask_req_ctx") +class TestWorkflowDraftVariableServiceResetVariable(unittest.TestCase): + """Integration tests for reset_variable functionality using real database""" + + _test_app_id: str + _test_tenant_id: str + _test_workflow_id: str + _session: Session + _node_id = "test_reset_node" + _node_exec_id: str + _workflow_node_exec_id: str + + def setUp(self): + self._test_app_id = str(uuid.uuid4()) + self._test_tenant_id = str(uuid.uuid4()) + self._test_workflow_id = str(uuid.uuid4()) + self._node_exec_id = str(uuid.uuid4()) + self._workflow_node_exec_id = str(uuid.uuid4()) + self._session: Session = db.session() + + # Create a workflow node execution record with outputs + # Note: The WorkflowNodeExecutionModel.id should match the node_execution_id in WorkflowDraftVariable + self._workflow_node_execution = WorkflowNodeExecutionModel( + id=self._node_exec_id, # This should match the node_execution_id in the variable + tenant_id=self._test_tenant_id, + app_id=self._test_app_id, + workflow_id=self._test_workflow_id, + triggered_from="workflow-run", + workflow_run_id=str(uuid.uuid4()), + index=1, + node_execution_id=self._node_exec_id, + node_id=self._node_id, + node_type=NodeType.LLM.value, + title="Test Node", + inputs='{"input": "test input"}', + process_data='{"test_var": "process_value", "other_var": "other_process"}', + outputs='{"test_var": "output_value", "other_var": "other_output"}', + status="succeeded", + elapsed_time=1.5, + created_by_role="account", + created_by=str(uuid.uuid4()), + ) + + # Create conversation variables for the workflow + self._conv_variables = [ + StringVariable( + id=str(uuid.uuid4()), + name="conv_var_1", + description="Test conversation variable 1", + value="default_value_1", + ), + StringVariable( + id=str(uuid.uuid4()), + name="conv_var_2", + description="Test conversation variable 2", + value="default_value_2", + ), + ] + + # Create test variables + self._node_var_with_exec = WorkflowDraftVariable.new_node_variable( + app_id=self._test_app_id, + node_id=self._node_id, + name="test_var", + value=build_segment("old_value"), + node_execution_id=self._node_exec_id, + ) + self._node_var_with_exec.last_edited_at = datetime_utils.naive_utc_now() + + self._node_var_without_exec = WorkflowDraftVariable.new_node_variable( + app_id=self._test_app_id, + node_id=self._node_id, + name="no_exec_var", + value=build_segment("some_value"), + node_execution_id="temp_exec_id", + ) + # Manually set node_execution_id to None after creation + self._node_var_without_exec.node_execution_id = None + + self._node_var_missing_exec = WorkflowDraftVariable.new_node_variable( + app_id=self._test_app_id, + node_id=self._node_id, + name="missing_exec_var", + value=build_segment("some_value"), + node_execution_id=str(uuid.uuid4()), # Use a valid UUID that doesn't exist in database + ) + + self._conv_var = WorkflowDraftVariable.new_conversation_variable( + app_id=self._test_app_id, + name="conv_var_1", + value=build_segment("old_conv_value"), + ) + self._conv_var.last_edited_at = datetime_utils.naive_utc_now() + + # Add all to database + db.session.add_all( + [ + self._workflow_node_execution, + self._node_var_with_exec, + self._node_var_without_exec, + self._node_var_missing_exec, + self._conv_var, + ] + ) + db.session.flush() + + # Store IDs for assertions + self._node_var_with_exec_id = self._node_var_with_exec.id + self._node_var_without_exec_id = self._node_var_without_exec.id + self._node_var_missing_exec_id = self._node_var_missing_exec.id + self._conv_var_id = self._conv_var.id + + def _get_test_srv(self) -> WorkflowDraftVariableService: + return WorkflowDraftVariableService(session=self._session) + + def _create_mock_workflow(self) -> Workflow: + """Create a real workflow with conversation variables and graph""" + conversation_vars = self._conv_variables + + # Create a simple graph with the test node + graph = { + "nodes": [{"id": "test_reset_node", "type": "llm", "title": "Test Node", "data": {"type": "llm"}}], + "edges": [], + } + + workflow = Workflow.new( + tenant_id=str(uuid.uuid4()), + app_id=self._test_app_id, + type="workflow", + version="1.0", + graph=json.dumps(graph), + features="{}", + created_by=str(uuid.uuid4()), + environment_variables=[], + conversation_variables=conversation_vars, + ) + return workflow + + def tearDown(self): + self._session.rollback() + + def test_reset_node_variable_with_valid_execution_record(self): + """Test resetting a node variable with valid execution record - should restore from execution""" + srv = self._get_test_srv() + mock_workflow = self._create_mock_workflow() + + # Get the variable before reset + variable = srv.get_variable(self._node_var_with_exec_id) + assert variable is not None + assert variable.get_value().value == "old_value" + assert variable.last_edited_at is not None + + # Reset the variable + result = srv.reset_variable(mock_workflow, variable) + + # Should return the updated variable + assert result is not None + assert result.id == self._node_var_with_exec_id + assert result.node_execution_id == self._workflow_node_execution.id + assert result.last_edited_at is None # Should be reset to None + + # The returned variable should have the updated value from execution record + assert result.get_value().value == "output_value" + + # Verify the variable was updated in database + updated_variable = srv.get_variable(self._node_var_with_exec_id) + assert updated_variable is not None + # The value should be updated from the execution record's outputs + assert updated_variable.get_value().value == "output_value" + assert updated_variable.last_edited_at is None + assert updated_variable.node_execution_id == self._workflow_node_execution.id + + def test_reset_node_variable_with_no_execution_id(self): + """Test resetting a node variable with no execution ID - should delete variable""" + srv = self._get_test_srv() + mock_workflow = self._create_mock_workflow() + + # Get the variable before reset + variable = srv.get_variable(self._node_var_without_exec_id) + assert variable is not None + + # Reset the variable + result = srv.reset_variable(mock_workflow, variable) + + # Should return None (variable deleted) + assert result is None + + # Verify the variable was deleted + deleted_variable = srv.get_variable(self._node_var_without_exec_id) + assert deleted_variable is None + + def test_reset_node_variable_with_missing_execution_record(self): + """Test resetting a node variable when execution record doesn't exist""" + srv = self._get_test_srv() + mock_workflow = self._create_mock_workflow() + + # Get the variable before reset + variable = srv.get_variable(self._node_var_missing_exec_id) + assert variable is not None + + # Reset the variable + result = srv.reset_variable(mock_workflow, variable) + + # Should return None (variable deleted) + assert result is None + + # Verify the variable was deleted + deleted_variable = srv.get_variable(self._node_var_missing_exec_id) + assert deleted_variable is None + + def test_reset_conversation_variable(self): + """Test resetting a conversation variable""" + srv = self._get_test_srv() + mock_workflow = self._create_mock_workflow() + + # Get the variable before reset + variable = srv.get_variable(self._conv_var_id) + assert variable is not None + assert variable.get_value().value == "old_conv_value" + assert variable.last_edited_at is not None + + # Reset the variable + result = srv.reset_variable(mock_workflow, variable) + + # Should return the updated variable + assert result is not None + assert result.id == self._conv_var_id + assert result.last_edited_at is None # Should be reset to None + + # Verify the variable was updated with default value from workflow + updated_variable = srv.get_variable(self._conv_var_id) + assert updated_variable is not None + # The value should be updated from the workflow's conversation variable default + assert updated_variable.get_value().value == "default_value_1" + assert updated_variable.last_edited_at is None + + def test_reset_system_variable_raises_error(self): + """Test that resetting a system variable raises an error""" + srv = self._get_test_srv() + mock_workflow = self._create_mock_workflow() + + # Create a system variable + sys_var = WorkflowDraftVariable.new_sys_variable( + app_id=self._test_app_id, + name="sys_var", + value=build_segment("sys_value"), + node_execution_id=self._node_exec_id, + ) + db.session.add(sys_var) + db.session.flush() + + # Attempt to reset the system variable + with pytest.raises(VariableResetError) as exc_info: + srv.reset_variable(mock_workflow, sys_var) + + assert "cannot reset system variable" in str(exc_info.value) + assert sys_var.id in str(exc_info.value) diff --git a/api/tests/integration_tests/vdb/matrixone/__init__.py b/api/tests/integration_tests/vdb/matrixone/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/vdb/matrixone/test_matrixone.py b/api/tests/integration_tests/vdb/matrixone/test_matrixone.py new file mode 100644 index 0000000000..c8b19ef3ad --- /dev/null +++ b/api/tests/integration_tests/vdb/matrixone/test_matrixone.py @@ -0,0 +1,25 @@ +from core.rag.datasource.vdb.matrixone.matrixone_vector import MatrixoneConfig, MatrixoneVector +from tests.integration_tests.vdb.test_vector_store import ( + AbstractVectorTest, + get_example_text, + setup_mock_redis, +) + + +class MatrixoneVectorTest(AbstractVectorTest): + def __init__(self): + super().__init__() + self.vector = MatrixoneVector( + collection_name=self.collection_name, + config=MatrixoneConfig( + host="localhost", port=6001, user="dump", password="111", database="dify", metric="l2" + ), + ) + + def get_ids_by_metadata_field(self): + ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) + assert len(ids) == 1 + + +def test_matrixone_vector(setup_mock_redis): + MatrixoneVectorTest().run_all_tests() diff --git a/api/tests/integration_tests/vdb/oceanbase/check_oceanbase_ready.py b/api/tests/integration_tests/vdb/oceanbase/check_oceanbase_ready.py deleted file mode 100644 index 94a51292ff..0000000000 --- a/api/tests/integration_tests/vdb/oceanbase/check_oceanbase_ready.py +++ /dev/null @@ -1,49 +0,0 @@ -import time - -import pymysql - - -def check_oceanbase_ready() -> bool: - try: - connection = pymysql.connect( - host="localhost", - port=2881, - user="root", - password="difyai123456", - ) - affected_rows = connection.query("SELECT 1") - return affected_rows == 1 - except Exception as e: - print(f"Oceanbase is not ready. Exception: {e}") - return False - finally: - if connection: - connection.close() - - -def main(): - max_attempts = 50 - retry_interval_seconds = 2 - is_oceanbase_ready = False - for attempt in range(max_attempts): - try: - is_oceanbase_ready = check_oceanbase_ready() - except Exception as e: - print(f"Oceanbase is not ready. Exception: {e}") - is_oceanbase_ready = False - - if is_oceanbase_ready: - break - else: - print(f"Attempt {attempt + 1} failed, retry in {retry_interval_seconds} seconds...") - time.sleep(retry_interval_seconds) - - if is_oceanbase_ready: - print("Oceanbase is ready.") - else: - print(f"Oceanbase is not ready after {max_attempts} attempting checks.") - exit(1) - - -if __name__ == "__main__": - main() diff --git a/api/tests/integration_tests/workflow/nodes/test_llm.py b/api/tests/integration_tests/workflow/nodes/test_llm.py index 6aa48b1cbb..a3b2fdc376 100644 --- a/api/tests/integration_tests/workflow/nodes/test_llm.py +++ b/api/tests/integration_tests/workflow/nodes/test_llm.py @@ -8,8 +8,6 @@ from unittest.mock import MagicMock, patch import pytest -from app_factory import create_app -from configs import dify_config from core.app.entities.app_invoke_entities import InvokeFrom from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage from core.model_runtime.entities.message_entities import AssistantPromptMessage @@ -30,21 +28,6 @@ from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_mod from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock -@pytest.fixture(scope="session") -def app(): - # Set up storage configuration - os.environ["STORAGE_TYPE"] = "opendal" - os.environ["OPENDAL_SCHEME"] = "fs" - os.environ["OPENDAL_FS_ROOT"] = "storage" - - # Ensure storage directory exists - os.makedirs("storage", exist_ok=True) - - app = create_app() - dify_config.LOGIN_DISABLED = True - return app - - def init_llm_node(config: dict) -> LLMNode: graph_config = { "edges": [ @@ -102,197 +85,195 @@ def init_llm_node(config: dict) -> LLMNode: return node -def test_execute_llm(app): - with app.app_context(): - node = init_llm_node( - config={ - "id": "llm", - "data": { - "title": "123", - "type": "llm", - "model": { - "provider": "langgenius/openai/openai", - "name": "gpt-3.5-turbo", - "mode": "chat", - "completion_params": {}, - }, - "prompt_template": [ - { - "role": "system", - "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}.", - }, - {"role": "user", "text": "{{#sys.query#}}"}, - ], - "memory": None, - "context": {"enabled": False}, - "vision": {"enabled": False}, +def test_execute_llm(flask_req_ctx): + node = init_llm_node( + config={ + "id": "llm", + "data": { + "title": "123", + "type": "llm", + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo", + "mode": "chat", + "completion_params": {}, }, + "prompt_template": [ + { + "role": "system", + "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}.", + }, + {"role": "user", "text": "{{#sys.query#}}"}, + ], + "memory": None, + "context": {"enabled": False}, + "vision": {"enabled": False}, }, - ) + }, + ) - credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} + credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} - # Create a proper LLM result with real entities - mock_usage = LLMUsage( - prompt_tokens=30, - prompt_unit_price=Decimal("0.001"), - prompt_price_unit=Decimal("1000"), - prompt_price=Decimal("0.00003"), - completion_tokens=20, - completion_unit_price=Decimal("0.002"), - completion_price_unit=Decimal("1000"), - completion_price=Decimal("0.00004"), - total_tokens=50, - total_price=Decimal("0.00007"), - currency="USD", - latency=0.5, - ) + # Create a proper LLM result with real entities + mock_usage = LLMUsage( + prompt_tokens=30, + prompt_unit_price=Decimal("0.001"), + prompt_price_unit=Decimal("1000"), + prompt_price=Decimal("0.00003"), + completion_tokens=20, + completion_unit_price=Decimal("0.002"), + completion_price_unit=Decimal("1000"), + completion_price=Decimal("0.00004"), + total_tokens=50, + total_price=Decimal("0.00007"), + currency="USD", + latency=0.5, + ) - mock_message = AssistantPromptMessage(content="This is a test response from the mocked LLM.") + mock_message = AssistantPromptMessage(content="This is a test response from the mocked LLM.") - mock_llm_result = LLMResult( - model="gpt-3.5-turbo", - prompt_messages=[], - message=mock_message, - usage=mock_usage, - ) + mock_llm_result = LLMResult( + model="gpt-3.5-turbo", + prompt_messages=[], + message=mock_message, + usage=mock_usage, + ) - # Create a simple mock model instance that doesn't call real providers - mock_model_instance = MagicMock() - mock_model_instance.invoke_llm.return_value = mock_llm_result + # Create a simple mock model instance that doesn't call real providers + mock_model_instance = MagicMock() + mock_model_instance.invoke_llm.return_value = mock_llm_result - # Create a simple mock model config with required attributes - mock_model_config = MagicMock() - mock_model_config.mode = "chat" - mock_model_config.provider = "langgenius/openai/openai" - mock_model_config.model = "gpt-3.5-turbo" - mock_model_config.provider_model_bundle.configuration.tenant_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056b" + # Create a simple mock model config with required attributes + mock_model_config = MagicMock() + mock_model_config.mode = "chat" + mock_model_config.provider = "langgenius/openai/openai" + mock_model_config.model = "gpt-3.5-turbo" + mock_model_config.provider_model_bundle.configuration.tenant_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056b" - # Mock the _fetch_model_config method - def mock_fetch_model_config_func(_node_data_model): - return mock_model_instance, mock_model_config + # Mock the _fetch_model_config method + def mock_fetch_model_config_func(_node_data_model): + return mock_model_instance, mock_model_config - # Also mock ModelManager.get_model_instance to avoid database calls - def mock_get_model_instance(_self, **kwargs): - return mock_model_instance + # Also mock ModelManager.get_model_instance to avoid database calls + def mock_get_model_instance(_self, **kwargs): + return mock_model_instance - with ( - patch.object(node, "_fetch_model_config", mock_fetch_model_config_func), - patch("core.model_manager.ModelManager.get_model_instance", mock_get_model_instance), - ): - # execute node - result = node._run() - assert isinstance(result, Generator) + with ( + patch.object(node, "_fetch_model_config", mock_fetch_model_config_func), + patch("core.model_manager.ModelManager.get_model_instance", mock_get_model_instance), + ): + # execute node + result = node._run() + assert isinstance(result, Generator) - for item in result: - if isinstance(item, RunCompletedEvent): - assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.process_data is not None - assert item.run_result.outputs is not None - assert item.run_result.outputs.get("text") is not None - assert item.run_result.outputs.get("usage", {})["total_tokens"] > 0 + for item in result: + if isinstance(item, RunCompletedEvent): + assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED + assert item.run_result.process_data is not None + assert item.run_result.outputs is not None + assert item.run_result.outputs.get("text") is not None + assert item.run_result.outputs.get("usage", {})["total_tokens"] > 0 @pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True) -def test_execute_llm_with_jinja2(app, setup_code_executor_mock): +def test_execute_llm_with_jinja2(flask_req_ctx, setup_code_executor_mock): """ Test execute LLM node with jinja2 """ - with app.app_context(): - node = init_llm_node( - config={ - "id": "llm", - "data": { - "title": "123", - "type": "llm", - "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, - "prompt_config": { - "jinja2_variables": [ - {"variable": "sys_query", "value_selector": ["sys", "query"]}, - {"variable": "output", "value_selector": ["abc", "output"]}, - ] - }, - "prompt_template": [ - { - "role": "system", - "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}", - "jinja2_text": "you are a helpful assistant.\ntoday's weather is {{output}}.", - "edition_type": "jinja2", - }, - { - "role": "user", - "text": "{{#sys.query#}}", - "jinja2_text": "{{sys_query}}", - "edition_type": "basic", - }, - ], - "memory": None, - "context": {"enabled": False}, - "vision": {"enabled": False}, + node = init_llm_node( + config={ + "id": "llm", + "data": { + "title": "123", + "type": "llm", + "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "prompt_config": { + "jinja2_variables": [ + {"variable": "sys_query", "value_selector": ["sys", "query"]}, + {"variable": "output", "value_selector": ["abc", "output"]}, + ] }, + "prompt_template": [ + { + "role": "system", + "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}", + "jinja2_text": "you are a helpful assistant.\ntoday's weather is {{output}}.", + "edition_type": "jinja2", + }, + { + "role": "user", + "text": "{{#sys.query#}}", + "jinja2_text": "{{sys_query}}", + "edition_type": "basic", + }, + ], + "memory": None, + "context": {"enabled": False}, + "vision": {"enabled": False}, }, - ) + }, + ) - # Mock db.session.close() - db.session.close = MagicMock() + # Mock db.session.close() + db.session.close = MagicMock() - # Create a proper LLM result with real entities - mock_usage = LLMUsage( - prompt_tokens=30, - prompt_unit_price=Decimal("0.001"), - prompt_price_unit=Decimal("1000"), - prompt_price=Decimal("0.00003"), - completion_tokens=20, - completion_unit_price=Decimal("0.002"), - completion_price_unit=Decimal("1000"), - completion_price=Decimal("0.00004"), - total_tokens=50, - total_price=Decimal("0.00007"), - currency="USD", - latency=0.5, - ) + # Create a proper LLM result with real entities + mock_usage = LLMUsage( + prompt_tokens=30, + prompt_unit_price=Decimal("0.001"), + prompt_price_unit=Decimal("1000"), + prompt_price=Decimal("0.00003"), + completion_tokens=20, + completion_unit_price=Decimal("0.002"), + completion_price_unit=Decimal("1000"), + completion_price=Decimal("0.00004"), + total_tokens=50, + total_price=Decimal("0.00007"), + currency="USD", + latency=0.5, + ) - mock_message = AssistantPromptMessage(content="Test response: sunny weather and what's the weather today?") + mock_message = AssistantPromptMessage(content="Test response: sunny weather and what's the weather today?") - mock_llm_result = LLMResult( - model="gpt-3.5-turbo", - prompt_messages=[], - message=mock_message, - usage=mock_usage, - ) + mock_llm_result = LLMResult( + model="gpt-3.5-turbo", + prompt_messages=[], + message=mock_message, + usage=mock_usage, + ) - # Create a simple mock model instance that doesn't call real providers - mock_model_instance = MagicMock() - mock_model_instance.invoke_llm.return_value = mock_llm_result + # Create a simple mock model instance that doesn't call real providers + mock_model_instance = MagicMock() + mock_model_instance.invoke_llm.return_value = mock_llm_result - # Create a simple mock model config with required attributes - mock_model_config = MagicMock() - mock_model_config.mode = "chat" - mock_model_config.provider = "openai" - mock_model_config.model = "gpt-3.5-turbo" - mock_model_config.provider_model_bundle.configuration.tenant_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056b" + # Create a simple mock model config with required attributes + mock_model_config = MagicMock() + mock_model_config.mode = "chat" + mock_model_config.provider = "openai" + mock_model_config.model = "gpt-3.5-turbo" + mock_model_config.provider_model_bundle.configuration.tenant_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056b" - # Mock the _fetch_model_config method - def mock_fetch_model_config_func(_node_data_model): - return mock_model_instance, mock_model_config + # Mock the _fetch_model_config method + def mock_fetch_model_config_func(_node_data_model): + return mock_model_instance, mock_model_config - # Also mock ModelManager.get_model_instance to avoid database calls - def mock_get_model_instance(_self, **kwargs): - return mock_model_instance + # Also mock ModelManager.get_model_instance to avoid database calls + def mock_get_model_instance(_self, **kwargs): + return mock_model_instance - with ( - patch.object(node, "_fetch_model_config", mock_fetch_model_config_func), - patch("core.model_manager.ModelManager.get_model_instance", mock_get_model_instance), - ): - # execute node - result = node._run() + with ( + patch.object(node, "_fetch_model_config", mock_fetch_model_config_func), + patch("core.model_manager.ModelManager.get_model_instance", mock_get_model_instance), + ): + # execute node + result = node._run() - for item in result: - if isinstance(item, RunCompletedEvent): - assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.process_data is not None - assert "sunny" in json.dumps(item.run_result.process_data) - assert "what's the weather today?" in json.dumps(item.run_result.process_data) + for item in result: + if isinstance(item, RunCompletedEvent): + assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED + assert item.run_result.process_data is not None + assert "sunny" in json.dumps(item.run_result.process_data) + assert "what's the weather today?" in json.dumps(item.run_result.process_data) def test_extract_json(): diff --git a/api/tests/unit_tests/conftest.py b/api/tests/unit_tests/conftest.py index e09acc4c39..077ffe3408 100644 --- a/api/tests/unit_tests/conftest.py +++ b/api/tests/unit_tests/conftest.py @@ -1,4 +1,5 @@ import os +from unittest.mock import MagicMock, patch import pytest from flask import Flask @@ -11,6 +12,24 @@ PROJECT_DIR = os.path.abspath(os.path.join(ABS_PATH, os.pardir, os.pardir)) CACHED_APP = Flask(__name__) +# set global mock for Redis client +redis_mock = MagicMock() +redis_mock.get = MagicMock(return_value=None) +redis_mock.setex = MagicMock() +redis_mock.setnx = MagicMock() +redis_mock.delete = MagicMock() +redis_mock.lock = MagicMock() +redis_mock.exists = MagicMock(return_value=False) +redis_mock.set = MagicMock() +redis_mock.expire = MagicMock() +redis_mock.hgetall = MagicMock(return_value={}) +redis_mock.hdel = MagicMock() +redis_mock.incr = MagicMock(return_value=1) + +# apply the mock to the Redis client in the Flask app +redis_patcher = patch("extensions.ext_redis.redis_client", redis_mock) +redis_patcher.start() + @pytest.fixture def app() -> Flask: @@ -21,3 +40,19 @@ def app() -> Flask: def _provide_app_context(app: Flask): with app.app_context(): yield + + +@pytest.fixture(autouse=True) +def reset_redis_mock(): + """reset the Redis mock before each test""" + redis_mock.reset_mock() + redis_mock.get.return_value = None + redis_mock.setex.return_value = None + redis_mock.setnx.return_value = None + redis_mock.delete.return_value = None + redis_mock.exists.return_value = False + redis_mock.set.return_value = None + redis_mock.expire.return_value = None + redis_mock.hgetall.return_value = {} + redis_mock.hdel.return_value = None + redis_mock.incr.return_value = 1 diff --git a/api/tests/unit_tests/controllers/console/app/workflow_draft_variables_test.py b/api/tests/unit_tests/controllers/console/app/workflow_draft_variables_test.py new file mode 100644 index 0000000000..f26be6702a --- /dev/null +++ b/api/tests/unit_tests/controllers/console/app/workflow_draft_variables_test.py @@ -0,0 +1,302 @@ +import datetime +import uuid +from collections import OrderedDict +from typing import Any, NamedTuple + +from flask_restful import marshal + +from controllers.console.app.workflow_draft_variable import ( + _WORKFLOW_DRAFT_VARIABLE_FIELDS, + _WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS, + _WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS, + _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS, +) +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID +from factories.variable_factory import build_segment +from models.workflow import WorkflowDraftVariable +from services.workflow_draft_variable_service import WorkflowDraftVariableList + +_TEST_APP_ID = "test_app_id" +_TEST_NODE_EXEC_ID = str(uuid.uuid4()) + + +class TestWorkflowDraftVariableFields: + def test_conversation_variable(self): + conv_var = WorkflowDraftVariable.new_conversation_variable( + app_id=_TEST_APP_ID, name="conv_var", value=build_segment(1) + ) + + conv_var.id = str(uuid.uuid4()) + conv_var.visible = True + + expected_without_value: OrderedDict[str, Any] = OrderedDict( + { + "id": str(conv_var.id), + "type": conv_var.get_variable_type().value, + "name": "conv_var", + "description": "", + "selector": [CONVERSATION_VARIABLE_NODE_ID, "conv_var"], + "value_type": "number", + "edited": False, + "visible": True, + } + ) + + assert marshal(conv_var, _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS) == expected_without_value + expected_with_value = expected_without_value.copy() + expected_with_value["value"] = 1 + assert marshal(conv_var, _WORKFLOW_DRAFT_VARIABLE_FIELDS) == expected_with_value + + def test_create_sys_variable(self): + sys_var = WorkflowDraftVariable.new_sys_variable( + app_id=_TEST_APP_ID, + name="sys_var", + value=build_segment("a"), + editable=True, + node_execution_id=_TEST_NODE_EXEC_ID, + ) + + sys_var.id = str(uuid.uuid4()) + sys_var.last_edited_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) + sys_var.visible = True + + expected_without_value = OrderedDict( + { + "id": str(sys_var.id), + "type": sys_var.get_variable_type().value, + "name": "sys_var", + "description": "", + "selector": [SYSTEM_VARIABLE_NODE_ID, "sys_var"], + "value_type": "string", + "edited": True, + "visible": True, + } + ) + assert marshal(sys_var, _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS) == expected_without_value + expected_with_value = expected_without_value.copy() + expected_with_value["value"] = "a" + assert marshal(sys_var, _WORKFLOW_DRAFT_VARIABLE_FIELDS) == expected_with_value + + def test_node_variable(self): + node_var = WorkflowDraftVariable.new_node_variable( + app_id=_TEST_APP_ID, + node_id="test_node", + name="node_var", + value=build_segment([1, "a"]), + visible=False, + node_execution_id=_TEST_NODE_EXEC_ID, + ) + + node_var.id = str(uuid.uuid4()) + node_var.last_edited_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) + + expected_without_value: OrderedDict[str, Any] = OrderedDict( + { + "id": str(node_var.id), + "type": node_var.get_variable_type().value, + "name": "node_var", + "description": "", + "selector": ["test_node", "node_var"], + "value_type": "array[any]", + "edited": True, + "visible": False, + } + ) + + assert marshal(node_var, _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS) == expected_without_value + expected_with_value = expected_without_value.copy() + expected_with_value["value"] = [1, "a"] + assert marshal(node_var, _WORKFLOW_DRAFT_VARIABLE_FIELDS) == expected_with_value + + +class TestWorkflowDraftVariableList: + def test_workflow_draft_variable_list(self): + class TestCase(NamedTuple): + name: str + var_list: WorkflowDraftVariableList + expected: dict + + node_var = WorkflowDraftVariable.new_node_variable( + app_id=_TEST_APP_ID, + node_id="test_node", + name="test_var", + value=build_segment("a"), + visible=True, + node_execution_id=_TEST_NODE_EXEC_ID, + ) + node_var.id = str(uuid.uuid4()) + node_var_dict = OrderedDict( + { + "id": str(node_var.id), + "type": node_var.get_variable_type().value, + "name": "test_var", + "description": "", + "selector": ["test_node", "test_var"], + "value_type": "string", + "edited": False, + "visible": True, + } + ) + + cases = [ + TestCase( + name="empty variable list", + var_list=WorkflowDraftVariableList(variables=[]), + expected=OrderedDict( + { + "items": [], + "total": None, + } + ), + ), + TestCase( + name="empty variable list with total", + var_list=WorkflowDraftVariableList(variables=[], total=10), + expected=OrderedDict( + { + "items": [], + "total": 10, + } + ), + ), + TestCase( + name="non-empty variable list", + var_list=WorkflowDraftVariableList(variables=[node_var], total=None), + expected=OrderedDict( + { + "items": [node_var_dict], + "total": None, + } + ), + ), + TestCase( + name="non-empty variable list with total", + var_list=WorkflowDraftVariableList(variables=[node_var], total=10), + expected=OrderedDict( + { + "items": [node_var_dict], + "total": 10, + } + ), + ), + ] + + for idx, case in enumerate(cases, 1): + assert marshal(case.var_list, _WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS) == case.expected, ( + f"Test case {idx} failed, {case.name=}" + ) + + +def test_workflow_node_variables_fields(): + conv_var = WorkflowDraftVariable.new_conversation_variable( + app_id=_TEST_APP_ID, name="conv_var", value=build_segment(1) + ) + resp = marshal(WorkflowDraftVariableList(variables=[conv_var]), _WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS) + assert isinstance(resp, dict) + assert len(resp["items"]) == 1 + item_dict = resp["items"][0] + assert item_dict["name"] == "conv_var" + assert item_dict["value"] == 1 + + +def test_workflow_file_variable_with_signed_url(): + """Test that File type variables include signed URLs in API responses.""" + from core.file.enums import FileTransferMethod, FileType + from core.file.models import File + + # Create a File object with LOCAL_FILE transfer method (which generates signed URLs) + test_file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.LOCAL_FILE, + related_id="test_upload_file_id", + filename="test.jpg", + extension=".jpg", + mime_type="image/jpeg", + size=12345, + ) + + # Create a WorkflowDraftVariable with the File + file_var = WorkflowDraftVariable.new_node_variable( + app_id=_TEST_APP_ID, + node_id="test_node", + name="file_var", + value=build_segment(test_file), + node_execution_id=_TEST_NODE_EXEC_ID, + ) + + # Marshal the variable using the API fields + resp = marshal(WorkflowDraftVariableList(variables=[file_var]), _WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS) + + # Verify the response structure + assert isinstance(resp, dict) + assert len(resp["items"]) == 1 + item_dict = resp["items"][0] + assert item_dict["name"] == "file_var" + + # Verify the value is a dict (File.to_dict() result) and contains expected fields + value = item_dict["value"] + assert isinstance(value, dict) + + # Verify the File fields are preserved + assert value["id"] == test_file.id + assert value["filename"] == test_file.filename + assert value["type"] == test_file.type.value + assert value["transfer_method"] == test_file.transfer_method.value + assert value["size"] == test_file.size + + # Verify the URL is present (it should be a signed URL for LOCAL_FILE transfer method) + remote_url = value["remote_url"] + assert remote_url is not None + + assert isinstance(remote_url, str) + # For LOCAL_FILE, the URL should contain signature parameters + assert "timestamp=" in remote_url + assert "nonce=" in remote_url + assert "sign=" in remote_url + + +def test_workflow_file_variable_remote_url(): + """Test that File type variables with REMOTE_URL transfer method return the remote URL.""" + from core.file.enums import FileTransferMethod, FileType + from core.file.models import File + + # Create a File object with REMOTE_URL transfer method + test_file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://example.com/test.jpg", + filename="test.jpg", + extension=".jpg", + mime_type="image/jpeg", + size=12345, + ) + + # Create a WorkflowDraftVariable with the File + file_var = WorkflowDraftVariable.new_node_variable( + app_id=_TEST_APP_ID, + node_id="test_node", + name="file_var", + value=build_segment(test_file), + node_execution_id=_TEST_NODE_EXEC_ID, + ) + + # Marshal the variable using the API fields + resp = marshal(WorkflowDraftVariableList(variables=[file_var]), _WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS) + + # Verify the response structure + assert isinstance(resp, dict) + assert len(resp["items"]) == 1 + item_dict = resp["items"][0] + assert item_dict["name"] == "file_var" + + # Verify the value is a dict (File.to_dict() result) and contains expected fields + value = item_dict["value"] + assert isinstance(value, dict) + remote_url = value["remote_url"] + + # For REMOTE_URL, the URL should be the original remote URL + assert remote_url == test_file.remote_url diff --git a/api/tests/unit_tests/core/app/segments/test_factory.py b/api/tests/unit_tests/core/app/segments/test_factory.py deleted file mode 100644 index e6e289c12a..0000000000 --- a/api/tests/unit_tests/core/app/segments/test_factory.py +++ /dev/null @@ -1,165 +0,0 @@ -from uuid import uuid4 - -import pytest - -from core.variables import ( - ArrayNumberVariable, - ArrayObjectVariable, - ArrayStringVariable, - FloatVariable, - IntegerVariable, - ObjectSegment, - SecretVariable, - StringVariable, -) -from core.variables.exc import VariableError -from core.variables.segments import ArrayAnySegment -from factories import variable_factory - - -def test_string_variable(): - test_data = {"value_type": "string", "name": "test_text", "value": "Hello, World!"} - result = variable_factory.build_conversation_variable_from_mapping(test_data) - assert isinstance(result, StringVariable) - - -def test_integer_variable(): - test_data = {"value_type": "number", "name": "test_int", "value": 42} - result = variable_factory.build_conversation_variable_from_mapping(test_data) - assert isinstance(result, IntegerVariable) - - -def test_float_variable(): - test_data = {"value_type": "number", "name": "test_float", "value": 3.14} - result = variable_factory.build_conversation_variable_from_mapping(test_data) - assert isinstance(result, FloatVariable) - - -def test_secret_variable(): - test_data = {"value_type": "secret", "name": "test_secret", "value": "secret_value"} - result = variable_factory.build_conversation_variable_from_mapping(test_data) - assert isinstance(result, SecretVariable) - - -def test_invalid_value_type(): - test_data = {"value_type": "unknown", "name": "test_invalid", "value": "value"} - with pytest.raises(VariableError): - variable_factory.build_conversation_variable_from_mapping(test_data) - - -def test_build_a_blank_string(): - result = variable_factory.build_conversation_variable_from_mapping( - { - "value_type": "string", - "name": "blank", - "value": "", - } - ) - assert isinstance(result, StringVariable) - assert result.value == "" - - -def test_build_a_object_variable_with_none_value(): - var = variable_factory.build_segment( - { - "key1": None, - } - ) - assert isinstance(var, ObjectSegment) - assert var.value["key1"] is None - - -def test_object_variable(): - mapping = { - "id": str(uuid4()), - "value_type": "object", - "name": "test_object", - "description": "Description of the variable.", - "value": { - "key1": "text", - "key2": 2, - }, - } - variable = variable_factory.build_conversation_variable_from_mapping(mapping) - assert isinstance(variable, ObjectSegment) - assert isinstance(variable.value["key1"], str) - assert isinstance(variable.value["key2"], int) - - -def test_array_string_variable(): - mapping = { - "id": str(uuid4()), - "value_type": "array[string]", - "name": "test_array", - "description": "Description of the variable.", - "value": [ - "text", - "text", - ], - } - variable = variable_factory.build_conversation_variable_from_mapping(mapping) - assert isinstance(variable, ArrayStringVariable) - assert isinstance(variable.value[0], str) - assert isinstance(variable.value[1], str) - - -def test_array_number_variable(): - mapping = { - "id": str(uuid4()), - "value_type": "array[number]", - "name": "test_array", - "description": "Description of the variable.", - "value": [ - 1, - 2.0, - ], - } - variable = variable_factory.build_conversation_variable_from_mapping(mapping) - assert isinstance(variable, ArrayNumberVariable) - assert isinstance(variable.value[0], int) - assert isinstance(variable.value[1], float) - - -def test_array_object_variable(): - mapping = { - "id": str(uuid4()), - "value_type": "array[object]", - "name": "test_array", - "description": "Description of the variable.", - "value": [ - { - "key1": "text", - "key2": 1, - }, - { - "key1": "text", - "key2": 1, - }, - ], - } - variable = variable_factory.build_conversation_variable_from_mapping(mapping) - assert isinstance(variable, ArrayObjectVariable) - assert isinstance(variable.value[0], dict) - assert isinstance(variable.value[1], dict) - assert isinstance(variable.value[0]["key1"], str) - assert isinstance(variable.value[0]["key2"], int) - assert isinstance(variable.value[1]["key1"], str) - assert isinstance(variable.value[1]["key2"], int) - - -def test_variable_cannot_large_than_200_kb(): - with pytest.raises(VariableError): - variable_factory.build_conversation_variable_from_mapping( - { - "id": str(uuid4()), - "value_type": "string", - "name": "test_text", - "value": "a" * 1024 * 201, - } - ) - - -def test_array_none_variable(): - var = variable_factory.build_segment([None, None, None, None]) - assert isinstance(var, ArrayAnySegment) - assert var.value == [None, None, None, None] diff --git a/api/tests/unit_tests/core/file/test_models.py b/api/tests/unit_tests/core/file/test_models.py new file mode 100644 index 0000000000..3ada2087c6 --- /dev/null +++ b/api/tests/unit_tests/core/file/test_models.py @@ -0,0 +1,25 @@ +from core.file import File, FileTransferMethod, FileType + + +def test_file(): + file = File( + id="test-file", + tenant_id="test-tenant-id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.TOOL_FILE, + related_id="test-related-id", + filename="image.png", + extension=".png", + mime_type="image/png", + size=67, + storage_key="test-storage-key", + url="https://example.com/image.png", + ) + assert file.tenant_id == "test-tenant-id" + assert file.type == FileType.IMAGE + assert file.transfer_method == FileTransferMethod.TOOL_FILE + assert file.related_id == "test-related-id" + assert file.filename == "image.png" + assert file.extension == ".png" + assert file.mime_type == "image/png" + assert file.size == 67 diff --git a/api/tests/unit_tests/core/rag/extractor/test_markdown_extractor.py b/api/tests/unit_tests/core/rag/extractor/test_markdown_extractor.py new file mode 100644 index 0000000000..d4cf534c56 --- /dev/null +++ b/api/tests/unit_tests/core/rag/extractor/test_markdown_extractor.py @@ -0,0 +1,22 @@ +from core.rag.extractor.markdown_extractor import MarkdownExtractor + + +def test_markdown_to_tups(): + markdown = """ +this is some text without header + +# title 1 +this is balabala text + +## title 2 +this is more specific text. + """ + extractor = MarkdownExtractor(file_path="dummy_path") + updated_output = extractor.markdown_to_tups(markdown) + assert len(updated_output) == 3 + key, header_value = updated_output[0] + assert key == None + assert header_value.strip() == "this is some text without header" + title_1, value = updated_output[1] + assert title_1.strip() == "title 1" + assert value.strip() == "this is balabala text" diff --git a/api/tests/unit_tests/core/app/segments/test_segment.py b/api/tests/unit_tests/core/variables/test_segment.py similarity index 100% rename from api/tests/unit_tests/core/app/segments/test_segment.py rename to api/tests/unit_tests/core/variables/test_segment.py diff --git a/api/tests/unit_tests/core/app/segments/test_variables.py b/api/tests/unit_tests/core/variables/test_variables.py similarity index 100% rename from api/tests/unit_tests/core/app/segments/test_variables.py rename to api/tests/unit_tests/core/variables/test_variables.py diff --git a/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py b/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py index 6d854c950d..362072a3db 100644 --- a/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py +++ b/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py @@ -3,6 +3,7 @@ import uuid from unittest.mock import patch from core.app.entities.app_invoke_entities import InvokeFrom +from core.variables.segments import ArrayAnySegment, ArrayStringSegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus @@ -197,7 +198,7 @@ def test_run(): count += 1 if isinstance(item, RunCompletedEvent): assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.outputs == {"output": ["dify 123", "dify 123"]} + assert item.run_result.outputs == {"output": ArrayStringSegment(value=["dify 123", "dify 123"])} assert count == 20 @@ -413,7 +414,7 @@ def test_run_parallel(): count += 1 if isinstance(item, RunCompletedEvent): assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.outputs == {"output": ["dify 123", "dify 123"]} + assert item.run_result.outputs == {"output": ArrayStringSegment(value=["dify 123", "dify 123"])} assert count == 32 @@ -654,7 +655,7 @@ def test_iteration_run_in_parallel_mode(): parallel_arr.append(item) if isinstance(item, RunCompletedEvent): assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.outputs == {"output": ["dify 123", "dify 123"]} + assert item.run_result.outputs == {"output": ArrayStringSegment(value=["dify 123", "dify 123"])} assert count == 32 for item in sequential_result: @@ -662,7 +663,7 @@ def test_iteration_run_in_parallel_mode(): count += 1 if isinstance(item, RunCompletedEvent): assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.outputs == {"output": ["dify 123", "dify 123"]} + assert item.run_result.outputs == {"output": ArrayStringSegment(value=["dify 123", "dify 123"])} assert count == 64 @@ -846,7 +847,7 @@ def test_iteration_run_error_handle(): count += 1 if isinstance(item, RunCompletedEvent): assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.outputs == {"output": [None, None]} + assert item.run_result.outputs == {"output": ArrayAnySegment(value=[None, None])} assert count == 14 # execute remove abnormal output @@ -857,5 +858,5 @@ def test_iteration_run_error_handle(): count += 1 if isinstance(item, RunCompletedEvent): assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.outputs == {"output": []} + assert item.run_result.outputs == {"output": ArrayAnySegment(value=[])} assert count == 14 diff --git a/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py b/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py index 4cb1aa93f9..76bb640d1c 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py @@ -7,6 +7,7 @@ from docx.oxml.text.paragraph import CT_P from core.file import File, FileTransferMethod from core.variables import ArrayFileSegment +from core.variables.segments import ArrayStringSegment from core.variables.variables import StringVariable from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus @@ -69,7 +70,13 @@ def test_run_invalid_variable_type(document_extractor_node, mock_graph_runtime_s @pytest.mark.parametrize( ("mime_type", "file_content", "expected_text", "transfer_method", "extension"), [ - ("text/plain", b"Hello, world!", ["Hello, world!"], FileTransferMethod.LOCAL_FILE, ".txt"), + ( + "text/plain", + b"Hello, world!", + ["Hello, world!"], + FileTransferMethod.LOCAL_FILE, + ".txt", + ), ( "application/pdf", b"%PDF-1.5\n%Test PDF content", @@ -84,7 +91,13 @@ def test_run_invalid_variable_type(document_extractor_node, mock_graph_runtime_s FileTransferMethod.REMOTE_URL, "", ), - ("text/plain", b"Remote content", ["Remote content"], FileTransferMethod.REMOTE_URL, None), + ( + "text/plain", + b"Remote content", + ["Remote content"], + FileTransferMethod.REMOTE_URL, + None, + ), ], ) def test_run_extract_text( @@ -131,7 +144,7 @@ def test_run_extract_text( assert isinstance(result, NodeRunResult) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED, result.error assert result.outputs is not None - assert result.outputs["text"] == expected_text + assert result.outputs["text"] == ArrayStringSegment(value=expected_text) if transfer_method == FileTransferMethod.REMOTE_URL: mock_ssrf_proxy_get.assert_called_once_with("https://example.com/file.txt") diff --git a/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py b/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py index 77d42e2692..7d3a1d6a2d 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py @@ -115,7 +115,7 @@ def test_filter_files_by_type(list_operator_node): }, ] assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - for expected_file, result_file in zip(expected_files, result.outputs["result"]): + for expected_file, result_file in zip(expected_files, result.outputs["result"].value): assert expected_file["filename"] == result_file.filename assert expected_file["type"] == result_file.type assert expected_file["tenant_id"] == result_file.tenant_id diff --git a/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v1/test_variable_assigner_v1.py b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v1/test_variable_assigner_v1.py index 9793da129d..deb3e29b86 100644 --- a/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v1/test_variable_assigner_v1.py +++ b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v1/test_variable_assigner_v1.py @@ -5,6 +5,7 @@ from uuid import uuid4 from core.app.entities.app_invoke_entities import InvokeFrom from core.variables import ArrayStringVariable, StringVariable +from core.workflow.conversation_variable_updater import ConversationVariableUpdater from core.workflow.entities.variable_pool import VariablePool from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph @@ -63,10 +64,11 @@ def test_overwrite_string_variable(): name="test_string_variable", value="the second value", ) + conversation_id = str(uuid.uuid4()) # construct variable pool variable_pool = VariablePool( - system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, + system_variables={SystemVariableKey.CONVERSATION_ID: conversation_id}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], @@ -77,6 +79,9 @@ def test_overwrite_string_variable(): input_variable, ) + mock_conv_var_updater = mock.Mock(spec=ConversationVariableUpdater) + mock_conv_var_updater_factory = mock.Mock(return_value=mock_conv_var_updater) + node = VariableAssignerNode( id=str(uuid.uuid4()), graph_init_params=init_params, @@ -91,11 +96,20 @@ def test_overwrite_string_variable(): "input_variable_selector": [DEFAULT_NODE_ID, input_variable.name], }, }, + conv_var_updater_factory=mock_conv_var_updater_factory, ) - with mock.patch("core.workflow.nodes.variable_assigner.common.helpers.update_conversation_variable") as mock_run: - list(node.run()) - mock_run.assert_called_once() + list(node.run()) + expected_var = StringVariable( + id=conversation_variable.id, + name=conversation_variable.name, + description=conversation_variable.description, + selector=conversation_variable.selector, + value_type=conversation_variable.value_type, + value=input_variable.value, + ) + mock_conv_var_updater.update.assert_called_once_with(conversation_id=conversation_id, variable=expected_var) + mock_conv_var_updater.flush.assert_called_once() got = variable_pool.get(["conversation", conversation_variable.name]) assert got is not None @@ -148,9 +162,10 @@ def test_append_variable_to_array(): name="test_string_variable", value="the second value", ) + conversation_id = str(uuid.uuid4()) variable_pool = VariablePool( - system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, + system_variables={SystemVariableKey.CONVERSATION_ID: conversation_id}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], @@ -160,6 +175,9 @@ def test_append_variable_to_array(): input_variable, ) + mock_conv_var_updater = mock.Mock(spec=ConversationVariableUpdater) + mock_conv_var_updater_factory = mock.Mock(return_value=mock_conv_var_updater) + node = VariableAssignerNode( id=str(uuid.uuid4()), graph_init_params=init_params, @@ -174,11 +192,22 @@ def test_append_variable_to_array(): "input_variable_selector": [DEFAULT_NODE_ID, input_variable.name], }, }, + conv_var_updater_factory=mock_conv_var_updater_factory, ) - with mock.patch("core.workflow.nodes.variable_assigner.common.helpers.update_conversation_variable") as mock_run: - list(node.run()) - mock_run.assert_called_once() + list(node.run()) + expected_value = list(conversation_variable.value) + expected_value.append(input_variable.value) + expected_var = ArrayStringVariable( + id=conversation_variable.id, + name=conversation_variable.name, + description=conversation_variable.description, + selector=conversation_variable.selector, + value_type=conversation_variable.value_type, + value=expected_value, + ) + mock_conv_var_updater.update.assert_called_once_with(conversation_id=conversation_id, variable=expected_var) + mock_conv_var_updater.flush.assert_called_once() got = variable_pool.get(["conversation", conversation_variable.name]) assert got is not None @@ -225,13 +254,17 @@ def test_clear_array(): value=["the first value"], ) + conversation_id = str(uuid.uuid4()) variable_pool = VariablePool( - system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, + system_variables={SystemVariableKey.CONVERSATION_ID: conversation_id}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], ) + mock_conv_var_updater = mock.Mock(spec=ConversationVariableUpdater) + mock_conv_var_updater_factory = mock.Mock(return_value=mock_conv_var_updater) + node = VariableAssignerNode( id=str(uuid.uuid4()), graph_init_params=init_params, @@ -246,11 +279,20 @@ def test_clear_array(): "input_variable_selector": [], }, }, + conv_var_updater_factory=mock_conv_var_updater_factory, ) - with mock.patch("core.workflow.nodes.variable_assigner.common.helpers.update_conversation_variable") as mock_run: - list(node.run()) - mock_run.assert_called_once() + list(node.run()) + expected_var = ArrayStringVariable( + id=conversation_variable.id, + name=conversation_variable.name, + description=conversation_variable.description, + selector=conversation_variable.selector, + value_type=conversation_variable.value_type, + value=[], + ) + mock_conv_var_updater.update.assert_called_once_with(conversation_id=conversation_id, variable=expected_var) + mock_conv_var_updater.flush.assert_called_once() got = variable_pool.get(["conversation", conversation_variable.name]) assert got is not None diff --git a/api/tests/unit_tests/core/workflow/test_variable_pool.py b/api/tests/unit_tests/core/workflow/test_variable_pool.py index efbcdc760c..bb8d34fad5 100644 --- a/api/tests/unit_tests/core/workflow/test_variable_pool.py +++ b/api/tests/unit_tests/core/workflow/test_variable_pool.py @@ -1,8 +1,12 @@ import pytest +from pydantic import ValidationError from core.file import File, FileTransferMethod, FileType from core.variables import FileSegment, StringSegment +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, ENVIRONMENT_VARIABLE_NODE_ID from core.workflow.entities.variable_pool import VariablePool +from core.workflow.enums import SystemVariableKey +from factories.variable_factory import build_segment, segment_to_variable @pytest.fixture @@ -44,3 +48,38 @@ def test_use_long_selector(pool): result = pool.get(("node_1", "part_1", "part_2")) assert result is not None assert result.value == "test_value" + + +class TestVariablePool: + def test_constructor(self): + pool = VariablePool() + pool = VariablePool( + variable_dictionary={}, + user_inputs={}, + system_variables={}, + environment_variables=[], + conversation_variables=[], + ) + + pool = VariablePool( + user_inputs={"key": "value"}, + system_variables={SystemVariableKey.WORKFLOW_ID: "test_workflow_id"}, + environment_variables=[ + segment_to_variable( + segment=build_segment(1), + selector=[ENVIRONMENT_VARIABLE_NODE_ID, "env_var_1"], + name="env_var_1", + ) + ], + conversation_variables=[ + segment_to_variable( + segment=build_segment("1"), + selector=[CONVERSATION_VARIABLE_NODE_ID, "conv_var_1"], + name="conv_var_1", + ) + ], + ) + + def test_constructor_with_invalid_system_variable_key(self): + with pytest.raises(ValidationError): + VariablePool(system_variables={"invalid_key": "value"}) # type: ignore diff --git a/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py b/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py index fddc182594..646de8bf3a 100644 --- a/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py +++ b/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py @@ -163,7 +163,6 @@ def real_workflow_run(): workflow_run.tenant_id = "test-tenant-id" workflow_run.app_id = "test-app-id" workflow_run.workflow_id = "test-workflow-id" - workflow_run.sequence_number = 1 workflow_run.type = "chat" workflow_run.triggered_from = "app-run" workflow_run.version = "1.0" diff --git a/api/tests/unit_tests/core/workflow/utils/test_variable_template_parser.py b/api/tests/unit_tests/core/workflow/utils/test_variable_template_parser.py index 2f90afcf89..28ef05edde 100644 --- a/api/tests/unit_tests/core/workflow/utils/test_variable_template_parser.py +++ b/api/tests/unit_tests/core/workflow/utils/test_variable_template_parser.py @@ -1,22 +1,10 @@ -from core.variables import SecretVariable +import dataclasses + from core.workflow.entities.variable_entities import VariableSelector -from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariableKey from core.workflow.utils import variable_template_parser def test_extract_selectors_from_template(): - variable_pool = VariablePool( - system_variables={ - SystemVariableKey("user_id"): "fake-user-id", - }, - user_inputs={}, - environment_variables=[ - SecretVariable(name="secret_key", value="fake-secret-key"), - ], - conversation_variables=[], - ) - variable_pool.add(("node_id", "custom_query"), "fake-user-query") template = ( "Hello, {{#sys.user_id#}}! Your query is {{#node_id.custom_query#}}. And your key is {{#env.secret_key#}}." ) @@ -26,3 +14,35 @@ def test_extract_selectors_from_template(): VariableSelector(variable="#node_id.custom_query#", value_selector=["node_id", "custom_query"]), VariableSelector(variable="#env.secret_key#", value_selector=["env", "secret_key"]), ] + + +def test_invalid_references(): + @dataclasses.dataclass + class TestCase: + name: str + template: str + + cases = [ + TestCase( + name="lack of closing brace", + template="Hello, {{#sys.user_id#", + ), + TestCase( + name="lack of opening brace", + template="Hello, #sys.user_id#}}", + ), + TestCase( + name="lack selector name", + template="Hello, {{#sys#}}", + ), + TestCase( + name="empty node name part", + template="Hello, {{#.user_id#}}", + ), + ] + for idx, c in enumerate(cases, 1): + fail_msg = f"Test case {c.name} failed, index={idx}" + selectors = variable_template_parser.extract_selectors_from_template(c.template) + assert selectors == [], fail_msg + parser = variable_template_parser.VariableTemplateParser(c.template) + assert parser.extract_variable_selectors() == [], fail_msg diff --git a/api/tests/unit_tests/factories/test_variable_factory.py b/api/tests/unit_tests/factories/test_variable_factory.py new file mode 100644 index 0000000000..481fbdc91a --- /dev/null +++ b/api/tests/unit_tests/factories/test_variable_factory.py @@ -0,0 +1,865 @@ +import math +from dataclasses import dataclass +from typing import Any +from uuid import uuid4 + +import pytest +from hypothesis import given +from hypothesis import strategies as st + +from core.file import File, FileTransferMethod, FileType +from core.variables import ( + ArrayNumberVariable, + ArrayObjectVariable, + ArrayStringVariable, + FloatVariable, + IntegerVariable, + ObjectSegment, + SecretVariable, + SegmentType, + StringVariable, +) +from core.variables.exc import VariableError +from core.variables.segments import ( + ArrayAnySegment, + ArrayFileSegment, + ArrayNumberSegment, + ArrayObjectSegment, + ArrayStringSegment, + FileSegment, + FloatSegment, + IntegerSegment, + NoneSegment, + ObjectSegment, + StringSegment, +) +from core.variables.types import SegmentType +from factories import variable_factory +from factories.variable_factory import TypeMismatchError, build_segment_with_type + + +def test_string_variable(): + test_data = {"value_type": "string", "name": "test_text", "value": "Hello, World!"} + result = variable_factory.build_conversation_variable_from_mapping(test_data) + assert isinstance(result, StringVariable) + + +def test_integer_variable(): + test_data = {"value_type": "number", "name": "test_int", "value": 42} + result = variable_factory.build_conversation_variable_from_mapping(test_data) + assert isinstance(result, IntegerVariable) + + +def test_float_variable(): + test_data = {"value_type": "number", "name": "test_float", "value": 3.14} + result = variable_factory.build_conversation_variable_from_mapping(test_data) + assert isinstance(result, FloatVariable) + + +def test_secret_variable(): + test_data = {"value_type": "secret", "name": "test_secret", "value": "secret_value"} + result = variable_factory.build_conversation_variable_from_mapping(test_data) + assert isinstance(result, SecretVariable) + + +def test_invalid_value_type(): + test_data = {"value_type": "unknown", "name": "test_invalid", "value": "value"} + with pytest.raises(VariableError): + variable_factory.build_conversation_variable_from_mapping(test_data) + + +def test_build_a_blank_string(): + result = variable_factory.build_conversation_variable_from_mapping( + { + "value_type": "string", + "name": "blank", + "value": "", + } + ) + assert isinstance(result, StringVariable) + assert result.value == "" + + +def test_build_a_object_variable_with_none_value(): + var = variable_factory.build_segment( + { + "key1": None, + } + ) + assert isinstance(var, ObjectSegment) + assert var.value["key1"] is None + + +def test_object_variable(): + mapping = { + "id": str(uuid4()), + "value_type": "object", + "name": "test_object", + "description": "Description of the variable.", + "value": { + "key1": "text", + "key2": 2, + }, + } + variable = variable_factory.build_conversation_variable_from_mapping(mapping) + assert isinstance(variable, ObjectSegment) + assert isinstance(variable.value["key1"], str) + assert isinstance(variable.value["key2"], int) + + +def test_array_string_variable(): + mapping = { + "id": str(uuid4()), + "value_type": "array[string]", + "name": "test_array", + "description": "Description of the variable.", + "value": [ + "text", + "text", + ], + } + variable = variable_factory.build_conversation_variable_from_mapping(mapping) + assert isinstance(variable, ArrayStringVariable) + assert isinstance(variable.value[0], str) + assert isinstance(variable.value[1], str) + + +def test_array_number_variable(): + mapping = { + "id": str(uuid4()), + "value_type": "array[number]", + "name": "test_array", + "description": "Description of the variable.", + "value": [ + 1, + 2.0, + ], + } + variable = variable_factory.build_conversation_variable_from_mapping(mapping) + assert isinstance(variable, ArrayNumberVariable) + assert isinstance(variable.value[0], int) + assert isinstance(variable.value[1], float) + + +def test_array_object_variable(): + mapping = { + "id": str(uuid4()), + "value_type": "array[object]", + "name": "test_array", + "description": "Description of the variable.", + "value": [ + { + "key1": "text", + "key2": 1, + }, + { + "key1": "text", + "key2": 1, + }, + ], + } + variable = variable_factory.build_conversation_variable_from_mapping(mapping) + assert isinstance(variable, ArrayObjectVariable) + assert isinstance(variable.value[0], dict) + assert isinstance(variable.value[1], dict) + assert isinstance(variable.value[0]["key1"], str) + assert isinstance(variable.value[0]["key2"], int) + assert isinstance(variable.value[1]["key1"], str) + assert isinstance(variable.value[1]["key2"], int) + + +def test_variable_cannot_large_than_200_kb(): + with pytest.raises(VariableError): + variable_factory.build_conversation_variable_from_mapping( + { + "id": str(uuid4()), + "value_type": "string", + "name": "test_text", + "value": "a" * 1024 * 201, + } + ) + + +def test_array_none_variable(): + var = variable_factory.build_segment([None, None, None, None]) + assert isinstance(var, ArrayAnySegment) + assert var.value == [None, None, None, None] + + +def test_build_segment_none_type(): + """Test building NoneSegment from None value.""" + segment = variable_factory.build_segment(None) + assert isinstance(segment, NoneSegment) + assert segment.value is None + assert segment.value_type == SegmentType.NONE + + +def test_build_segment_none_type_properties(): + """Test NoneSegment properties and methods.""" + segment = variable_factory.build_segment(None) + assert segment.text == "" + assert segment.log == "" + assert segment.markdown == "" + assert segment.to_object() is None + + +def test_build_segment_array_file_single_file(): + """Test building ArrayFileSegment from list with single file.""" + file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/test-file.png", + filename="test-file", + extension=".png", + mime_type="image/png", + size=1000, + ) + segment = variable_factory.build_segment([file]) + assert isinstance(segment, ArrayFileSegment) + assert len(segment.value) == 1 + assert segment.value[0] == file + assert segment.value_type == SegmentType.ARRAY_FILE + + +def test_build_segment_array_file_multiple_files(): + """Test building ArrayFileSegment from list with multiple files.""" + file1 = File( + id="test_file_id_1", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/test-file1.png", + filename="test-file1", + extension=".png", + mime_type="image/png", + size=1000, + ) + file2 = File( + id="test_file_id_2", + tenant_id="test_tenant_id", + type=FileType.DOCUMENT, + transfer_method=FileTransferMethod.LOCAL_FILE, + related_id="test_relation_id", + filename="test-file2", + extension=".txt", + mime_type="text/plain", + size=500, + ) + segment = variable_factory.build_segment([file1, file2]) + assert isinstance(segment, ArrayFileSegment) + assert len(segment.value) == 2 + assert segment.value[0] == file1 + assert segment.value[1] == file2 + assert segment.value_type == SegmentType.ARRAY_FILE + + +def test_build_segment_array_file_empty_list(): + """Test building ArrayFileSegment from empty list should create ArrayAnySegment.""" + segment = variable_factory.build_segment([]) + assert isinstance(segment, ArrayAnySegment) + assert segment.value == [] + assert segment.value_type == SegmentType.ARRAY_ANY + + +def test_build_segment_array_any_mixed_types(): + """Test building ArrayAnySegment from list with mixed types.""" + mixed_values = ["string", 42, 3.14, {"key": "value"}, None] + segment = variable_factory.build_segment(mixed_values) + assert isinstance(segment, ArrayAnySegment) + assert segment.value == mixed_values + assert segment.value_type == SegmentType.ARRAY_ANY + + +def test_build_segment_array_any_with_nested_arrays(): + """Test building ArrayAnySegment from list containing arrays.""" + nested_values = [["nested", "array"], [1, 2, 3], "string"] + segment = variable_factory.build_segment(nested_values) + assert isinstance(segment, ArrayAnySegment) + assert segment.value == nested_values + assert segment.value_type == SegmentType.ARRAY_ANY + + +def test_build_segment_array_any_mixed_with_files(): + """Test building ArrayAnySegment from list with files and other types.""" + file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/test-file.png", + filename="test-file", + extension=".png", + mime_type="image/png", + size=1000, + ) + mixed_values = [file, "string", 42] + segment = variable_factory.build_segment(mixed_values) + assert isinstance(segment, ArrayAnySegment) + assert segment.value == mixed_values + assert segment.value_type == SegmentType.ARRAY_ANY + + +def test_build_segment_array_any_all_none_values(): + """Test building ArrayAnySegment from list with all None values.""" + none_values = [None, None, None] + segment = variable_factory.build_segment(none_values) + assert isinstance(segment, ArrayAnySegment) + assert segment.value == none_values + assert segment.value_type == SegmentType.ARRAY_ANY + + +def test_build_segment_array_file_properties(): + """Test ArrayFileSegment properties and methods.""" + file1 = File( + id="test_file_id_1", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/test-file1.png", + filename="test-file1", + extension=".png", + mime_type="image/png", + size=1000, + ) + file2 = File( + id="test_file_id_2", + tenant_id="test_tenant_id", + type=FileType.DOCUMENT, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/test-file2.txt", + filename="test-file2", + extension=".txt", + mime_type="text/plain", + size=500, + ) + segment = variable_factory.build_segment([file1, file2]) + + # Test properties + assert segment.text == "" # ArrayFileSegment text property returns empty string + assert segment.log == "" # ArrayFileSegment log property returns empty string + assert segment.markdown == f"{file1.markdown}\n{file2.markdown}" + assert segment.to_object() == [file1, file2] + + +def test_build_segment_array_any_properties(): + """Test ArrayAnySegment properties and methods.""" + mixed_values = ["string", 42, None] + segment = variable_factory.build_segment(mixed_values) + + # Test properties + assert segment.text == str(mixed_values) + assert segment.log == str(mixed_values) + assert segment.markdown == "string\n42\nNone" + assert segment.to_object() == mixed_values + + +def test_build_segment_edge_cases(): + """Test edge cases for build_segment function.""" + # Test with complex nested structures + complex_structure = [{"nested": {"deep": [1, 2, 3]}}, [{"inner": "value"}], "mixed"] + segment = variable_factory.build_segment(complex_structure) + assert isinstance(segment, ArrayAnySegment) + assert segment.value == complex_structure + + # Test with single None in list + single_none = [None] + segment = variable_factory.build_segment(single_none) + assert isinstance(segment, ArrayAnySegment) + assert segment.value == single_none + + +def test_build_segment_file_array_with_different_file_types(): + """Test ArrayFileSegment with different file types.""" + image_file = File( + id="image_id", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/image.png", + filename="image", + extension=".png", + mime_type="image/png", + size=1000, + ) + + video_file = File( + id="video_id", + tenant_id="test_tenant_id", + type=FileType.VIDEO, + transfer_method=FileTransferMethod.LOCAL_FILE, + related_id="video_relation_id", + filename="video", + extension=".mp4", + mime_type="video/mp4", + size=5000, + ) + + audio_file = File( + id="audio_id", + tenant_id="test_tenant_id", + type=FileType.AUDIO, + transfer_method=FileTransferMethod.LOCAL_FILE, + related_id="audio_relation_id", + filename="audio", + extension=".mp3", + mime_type="audio/mpeg", + size=3000, + ) + + segment = variable_factory.build_segment([image_file, video_file, audio_file]) + assert isinstance(segment, ArrayFileSegment) + assert len(segment.value) == 3 + assert segment.value[0].type == FileType.IMAGE + assert segment.value[1].type == FileType.VIDEO + assert segment.value[2].type == FileType.AUDIO + + +@st.composite +def _generate_file(draw) -> File: + file_id = draw(st.text(min_size=1, max_size=10)) + tenant_id = draw(st.text(min_size=1, max_size=10)) + file_type, mime_type, extension = draw( + st.sampled_from( + [ + (FileType.IMAGE, "image/png", ".png"), + (FileType.VIDEO, "video/mp4", ".mp4"), + (FileType.DOCUMENT, "text/plain", ".txt"), + (FileType.AUDIO, "audio/mpeg", ".mp3"), + ] + ) + ) + filename = "test-file" + size = draw(st.integers(min_value=0, max_value=1024 * 1024)) + + transfer_method = draw(st.sampled_from(list(FileTransferMethod))) + if transfer_method == FileTransferMethod.REMOTE_URL: + url = "https://test.example.com/test-file" + file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=file_type, + transfer_method=transfer_method, + remote_url=url, + related_id=None, + filename=filename, + extension=extension, + mime_type=mime_type, + size=size, + ) + else: + relation_id = draw(st.uuids(version=4)) + + file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=file_type, + transfer_method=transfer_method, + related_id=str(relation_id), + filename=filename, + extension=extension, + mime_type=mime_type, + size=size, + ) + return file + + +def _scalar_value() -> st.SearchStrategy[int | float | str | File | None]: + return st.one_of( + st.none(), + st.integers(), + st.floats(), + st.text(), + _generate_file(), + ) + + +@given(_scalar_value()) +def test_build_segment_and_extract_values_for_scalar_types(value): + seg = variable_factory.build_segment(value) + # nan == nan yields false, so we need to use `math.isnan` to check `seg.value` here. + if isinstance(value, float) and math.isnan(value): + assert math.isnan(seg.value) + else: + assert seg.value == value + + +@given(st.lists(_scalar_value())) +def test_build_segment_and_extract_values_for_array_types(values): + seg = variable_factory.build_segment(values) + assert seg.value == values + + +def test_build_segment_type_for_scalar(): + @dataclass(frozen=True) + class TestCase: + value: int | float | str | File + expected_type: SegmentType + + file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/test-file.png", + filename="test-file", + extension=".png", + mime_type="image/png", + size=1000, + ) + cases = [ + TestCase(0, SegmentType.NUMBER), + TestCase(0.0, SegmentType.NUMBER), + TestCase("", SegmentType.STRING), + TestCase(file, SegmentType.FILE), + ] + + for idx, c in enumerate(cases, 1): + segment = variable_factory.build_segment(c.value) + assert segment.value_type == c.expected_type, f"test case {idx} failed." + + +class TestBuildSegmentWithType: + """Test cases for build_segment_with_type function.""" + + def test_string_type(self): + """Test building a string segment with correct type.""" + result = build_segment_with_type(SegmentType.STRING, "hello") + assert isinstance(result, StringSegment) + assert result.value == "hello" + assert result.value_type == SegmentType.STRING + + def test_number_type_integer(self): + """Test building a number segment with integer value.""" + result = build_segment_with_type(SegmentType.NUMBER, 42) + assert isinstance(result, IntegerSegment) + assert result.value == 42 + assert result.value_type == SegmentType.NUMBER + + def test_number_type_float(self): + """Test building a number segment with float value.""" + result = build_segment_with_type(SegmentType.NUMBER, 3.14) + assert isinstance(result, FloatSegment) + assert result.value == 3.14 + assert result.value_type == SegmentType.NUMBER + + def test_object_type(self): + """Test building an object segment with correct type.""" + test_obj = {"key": "value", "nested": {"inner": 123}} + result = build_segment_with_type(SegmentType.OBJECT, test_obj) + assert isinstance(result, ObjectSegment) + assert result.value == test_obj + assert result.value_type == SegmentType.OBJECT + + def test_file_type(self): + """Test building a file segment with correct type.""" + test_file = File( + id="test_file_id", + tenant_id="test_tenant_id", + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://test.example.com/test-file.png", + filename="test-file", + extension=".png", + mime_type="image/png", + size=1000, + storage_key="test_storage_key", + ) + result = build_segment_with_type(SegmentType.FILE, test_file) + assert isinstance(result, FileSegment) + assert result.value == test_file + assert result.value_type == SegmentType.FILE + + def test_none_type(self): + """Test building a none segment with None value.""" + result = build_segment_with_type(SegmentType.NONE, None) + assert isinstance(result, NoneSegment) + assert result.value is None + assert result.value_type == SegmentType.NONE + + def test_empty_array_string(self): + """Test building an empty array[string] segment.""" + result = build_segment_with_type(SegmentType.ARRAY_STRING, []) + assert isinstance(result, ArrayStringSegment) + assert result.value == [] + assert result.value_type == SegmentType.ARRAY_STRING + + def test_empty_array_number(self): + """Test building an empty array[number] segment.""" + result = build_segment_with_type(SegmentType.ARRAY_NUMBER, []) + assert isinstance(result, ArrayNumberSegment) + assert result.value == [] + assert result.value_type == SegmentType.ARRAY_NUMBER + + def test_empty_array_object(self): + """Test building an empty array[object] segment.""" + result = build_segment_with_type(SegmentType.ARRAY_OBJECT, []) + assert isinstance(result, ArrayObjectSegment) + assert result.value == [] + assert result.value_type == SegmentType.ARRAY_OBJECT + + def test_empty_array_file(self): + """Test building an empty array[file] segment.""" + result = build_segment_with_type(SegmentType.ARRAY_FILE, []) + assert isinstance(result, ArrayFileSegment) + assert result.value == [] + assert result.value_type == SegmentType.ARRAY_FILE + + def test_empty_array_any(self): + """Test building an empty array[any] segment.""" + result = build_segment_with_type(SegmentType.ARRAY_ANY, []) + assert isinstance(result, ArrayAnySegment) + assert result.value == [] + assert result.value_type == SegmentType.ARRAY_ANY + + def test_array_with_values(self): + """Test building array segments with actual values.""" + # Array of strings + result = build_segment_with_type(SegmentType.ARRAY_STRING, ["hello", "world"]) + assert isinstance(result, ArrayStringSegment) + assert result.value == ["hello", "world"] + assert result.value_type == SegmentType.ARRAY_STRING + + # Array of numbers + result = build_segment_with_type(SegmentType.ARRAY_NUMBER, [1, 2, 3.14]) + assert isinstance(result, ArrayNumberSegment) + assert result.value == [1, 2, 3.14] + assert result.value_type == SegmentType.ARRAY_NUMBER + + # Array of objects + result = build_segment_with_type(SegmentType.ARRAY_OBJECT, [{"a": 1}, {"b": 2}]) + assert isinstance(result, ArrayObjectSegment) + assert result.value == [{"a": 1}, {"b": 2}] + assert result.value_type == SegmentType.ARRAY_OBJECT + + def test_type_mismatch_string_to_number(self): + """Test type mismatch when expecting number but getting string.""" + with pytest.raises(TypeMismatchError) as exc_info: + build_segment_with_type(SegmentType.NUMBER, "not_a_number") + + assert "Type mismatch" in str(exc_info.value) + assert "expected number" in str(exc_info.value) + assert "str" in str(exc_info.value) + + def test_type_mismatch_number_to_string(self): + """Test type mismatch when expecting string but getting number.""" + with pytest.raises(TypeMismatchError) as exc_info: + build_segment_with_type(SegmentType.STRING, 123) + + assert "Type mismatch" in str(exc_info.value) + assert "expected string" in str(exc_info.value) + assert "int" in str(exc_info.value) + + def test_type_mismatch_none_to_string(self): + """Test type mismatch when expecting string but getting None.""" + with pytest.raises(TypeMismatchError) as exc_info: + build_segment_with_type(SegmentType.STRING, None) + + assert "Expected string, but got None" in str(exc_info.value) + + def test_type_mismatch_empty_list_to_non_array(self): + """Test type mismatch when expecting non-array type but getting empty list.""" + with pytest.raises(TypeMismatchError) as exc_info: + build_segment_with_type(SegmentType.STRING, []) + + assert "Expected string, but got empty list" in str(exc_info.value) + + def test_type_mismatch_object_to_array(self): + """Test type mismatch when expecting array but getting object.""" + with pytest.raises(TypeMismatchError) as exc_info: + build_segment_with_type(SegmentType.ARRAY_STRING, {"key": "value"}) + + assert "Type mismatch" in str(exc_info.value) + assert "expected array[string]" in str(exc_info.value) + + def test_compatible_number_types(self): + """Test that int and float are both compatible with NUMBER type.""" + # Integer should work + result_int = build_segment_with_type(SegmentType.NUMBER, 42) + assert isinstance(result_int, IntegerSegment) + assert result_int.value_type == SegmentType.NUMBER + + # Float should work + result_float = build_segment_with_type(SegmentType.NUMBER, 3.14) + assert isinstance(result_float, FloatSegment) + assert result_float.value_type == SegmentType.NUMBER + + @pytest.mark.parametrize( + ("segment_type", "value", "expected_class"), + [ + (SegmentType.STRING, "test", StringSegment), + (SegmentType.NUMBER, 42, IntegerSegment), + (SegmentType.NUMBER, 3.14, FloatSegment), + (SegmentType.OBJECT, {}, ObjectSegment), + (SegmentType.NONE, None, NoneSegment), + (SegmentType.ARRAY_STRING, [], ArrayStringSegment), + (SegmentType.ARRAY_NUMBER, [], ArrayNumberSegment), + (SegmentType.ARRAY_OBJECT, [], ArrayObjectSegment), + (SegmentType.ARRAY_ANY, [], ArrayAnySegment), + ], + ) + def test_parametrized_valid_types(self, segment_type, value, expected_class): + """Parametrized test for valid type combinations.""" + result = build_segment_with_type(segment_type, value) + assert isinstance(result, expected_class) + assert result.value == value + assert result.value_type == segment_type + + @pytest.mark.parametrize( + ("segment_type", "value"), + [ + (SegmentType.STRING, 123), + (SegmentType.NUMBER, "not_a_number"), + (SegmentType.OBJECT, "not_an_object"), + (SegmentType.ARRAY_STRING, "not_an_array"), + (SegmentType.STRING, None), + (SegmentType.NUMBER, None), + ], + ) + def test_parametrized_type_mismatches(self, segment_type, value): + """Parametrized test for type mismatches that should raise TypeMismatchError.""" + with pytest.raises(TypeMismatchError): + build_segment_with_type(segment_type, value) + + +# Test cases for ValueError scenarios in build_segment function +class TestBuildSegmentValueErrors: + """Test cases for ValueError scenarios in the build_segment function.""" + + @dataclass(frozen=True) + class ValueErrorTestCase: + """Test case data for ValueError scenarios.""" + + name: str + description: str + test_value: Any + + def _get_test_cases(self): + """Get all test cases for ValueError scenarios.""" + + # Define inline classes for complex test cases + class CustomType: + pass + + def unsupported_function(): + return "test" + + def gen(): + yield 1 + yield 2 + + return [ + self.ValueErrorTestCase( + name="unsupported_custom_type", + description="custom class that doesn't match any supported type", + test_value=CustomType(), + ), + self.ValueErrorTestCase( + name="unsupported_set_type", + description="set (unsupported collection type)", + test_value={1, 2, 3}, + ), + self.ValueErrorTestCase( + name="unsupported_tuple_type", description="tuple (unsupported type)", test_value=(1, 2, 3) + ), + self.ValueErrorTestCase( + name="unsupported_bytes_type", + description="bytes (unsupported type)", + test_value=b"hello world", + ), + self.ValueErrorTestCase( + name="unsupported_function_type", + description="function (unsupported type)", + test_value=unsupported_function, + ), + self.ValueErrorTestCase( + name="unsupported_module_type", description="module (unsupported type)", test_value=math + ), + self.ValueErrorTestCase( + name="array_with_unsupported_element_types", + description="array with unsupported element types", + test_value=[CustomType()], + ), + self.ValueErrorTestCase( + name="mixed_array_with_unsupported_types", + description="array with mix of supported and unsupported types", + test_value=["valid_string", 42, CustomType()], + ), + self.ValueErrorTestCase( + name="nested_unsupported_types", + description="nested structures containing unsupported types", + test_value=[{"valid": "data"}, CustomType()], + ), + self.ValueErrorTestCase( + name="complex_number_type", + description="complex number (unsupported type)", + test_value=3 + 4j, + ), + self.ValueErrorTestCase( + name="range_type", description="range object (unsupported type)", test_value=range(10) + ), + self.ValueErrorTestCase( + name="generator_type", + description="generator (unsupported type)", + test_value=gen(), + ), + self.ValueErrorTestCase( + name="exception_message_contains_value", + description="set to verify error message contains the actual unsupported value", + test_value={1, 2, 3}, + ), + self.ValueErrorTestCase( + name="array_with_mixed_unsupported_segment_types", + description="array processing with unsupported segment types in match", + test_value=[CustomType()], + ), + self.ValueErrorTestCase( + name="frozenset_type", + description="frozenset (unsupported type)", + test_value=frozenset([1, 2, 3]), + ), + self.ValueErrorTestCase( + name="memoryview_type", + description="memoryview (unsupported type)", + test_value=memoryview(b"hello"), + ), + self.ValueErrorTestCase( + name="slice_type", description="slice object (unsupported type)", test_value=slice(1, 10, 2) + ), + self.ValueErrorTestCase(name="type_object", description="type object (unsupported type)", test_value=type), + self.ValueErrorTestCase( + name="generic_object", description="generic object (unsupported type)", test_value=object() + ), + ] + + def test_build_segment_unsupported_types(self): + """Table-driven test for all ValueError scenarios in build_segment function.""" + test_cases = self._get_test_cases() + + for index, test_case in enumerate(test_cases, 1): + # Use test value directly + test_value = test_case.test_value + + with pytest.raises(ValueError) as exc_info: # noqa: PT012 + segment = variable_factory.build_segment(test_value) + pytest.fail(f"Test case {index} ({test_case.name}) should raise ValueError but not, result={segment}") + + error_message = str(exc_info.value) + assert "not supported value" in error_message, ( + f"Test case {index} ({test_case.name}): Expected 'not supported value' in error message, " + f"but got: {error_message}" + ) + + def test_build_segment_boolean_type_note(self): + """Note: Boolean values are actually handled as integers in Python, so they don't raise ValueError.""" + # Boolean values in Python are subclasses of int, so they get processed as integers + # True becomes IntegerSegment(value=1) and False becomes IntegerSegment(value=0) + true_segment = variable_factory.build_segment(True) + false_segment = variable_factory.build_segment(False) + + # Verify they are processed as integers, not as errors + assert true_segment.value == 1, "Test case 1 (boolean_true): Expected True to be processed as integer 1" + assert false_segment.value == 0, "Test case 2 (boolean_false): Expected False to be processed as integer 0" + assert true_segment.value_type == SegmentType.NUMBER + assert false_segment.value_type == SegmentType.NUMBER diff --git a/api/tests/unit_tests/libs/test_datetime_utils.py b/api/tests/unit_tests/libs/test_datetime_utils.py new file mode 100644 index 0000000000..e7781a5821 --- /dev/null +++ b/api/tests/unit_tests/libs/test_datetime_utils.py @@ -0,0 +1,20 @@ +import datetime + +from libs.datetime_utils import naive_utc_now + + +def test_naive_utc_now(monkeypatch): + tz_aware_utc_now = datetime.datetime.now(tz=datetime.UTC) + + def _now_func(tz: datetime.timezone | None) -> datetime.datetime: + return tz_aware_utc_now.astimezone(tz) + + monkeypatch.setattr("libs.datetime_utils._now_func", _now_func) + + naive_datetime = naive_utc_now() + + assert naive_datetime.tzinfo is None + assert naive_datetime.date() == tz_aware_utc_now.date() + naive_time = naive_datetime.time() + utc_time = tz_aware_utc_now.time() + assert naive_time == utc_time diff --git a/api/tests/unit_tests/libs/test_flask_utils.py b/api/tests/unit_tests/libs/test_flask_utils.py new file mode 100644 index 0000000000..fb46ba50f3 --- /dev/null +++ b/api/tests/unit_tests/libs/test_flask_utils.py @@ -0,0 +1,124 @@ +import contextvars +import threading +from typing import Optional + +import pytest +from flask import Flask +from flask_login import LoginManager, UserMixin, current_user, login_user + +from libs.flask_utils import preserve_flask_contexts + + +class User(UserMixin): + """Simple User class for testing.""" + + def __init__(self, id: str): + self.id = id + + def get_id(self) -> str: + return self.id + + +@pytest.fixture +def login_app(app: Flask) -> Flask: + """Set up a Flask app with flask-login.""" + # Set a secret key for the app + app.config["SECRET_KEY"] = "test-secret-key" + + login_manager = LoginManager() + login_manager.init_app(app) + + @login_manager.user_loader + def load_user(user_id: str) -> Optional[User]: + if user_id == "test_user": + return User("test_user") + return None + + return app + + +@pytest.fixture +def test_user() -> User: + """Create a test user.""" + return User("test_user") + + +def test_current_user_not_accessible_across_threads(login_app: Flask, test_user: User): + """ + Test that current_user is not accessible in a different thread without preserve_flask_contexts. + + This test demonstrates that without the preserve_flask_contexts, we cannot access + current_user in a different thread, even with app_context. + """ + # Log in the user in the main thread + with login_app.test_request_context(): + login_user(test_user) + assert current_user.is_authenticated + assert current_user.id == "test_user" + + # Store the result of the thread execution + result = {"user_accessible": True, "error": None} + + # Define a function to run in a separate thread + def check_user_in_thread(): + try: + # Try to access current_user in a different thread with app_context + with login_app.app_context(): + # This should fail because current_user is not accessible across threads + # without preserve_flask_contexts + result["user_accessible"] = current_user.is_authenticated + except Exception as e: + result["error"] = str(e) # type: ignore + + # Run the function in a separate thread + thread = threading.Thread(target=check_user_in_thread) + thread.start() + thread.join() + + # Verify that we got an error or current_user is not authenticated + assert result["error"] is not None or (result["user_accessible"] is not None and not result["user_accessible"]) + + +def test_current_user_accessible_with_preserve_flask_contexts(login_app: Flask, test_user: User): + """ + Test that current_user is accessible in a different thread with preserve_flask_contexts. + + This test demonstrates that with the preserve_flask_contexts, we can access + current_user in a different thread. + """ + # Log in the user in the main thread + with login_app.test_request_context(): + login_user(test_user) + assert current_user.is_authenticated + assert current_user.id == "test_user" + + # Save the context variables + context_vars = contextvars.copy_context() + + # Store the result of the thread execution + result = {"user_accessible": False, "user_id": None, "error": None} + + # Define a function to run in a separate thread + def check_user_in_thread_with_manager(): + try: + # Use preserve_flask_contexts to access current_user in a different thread + with preserve_flask_contexts(login_app, context_vars): + from flask_login import current_user + + if current_user: + result["user_accessible"] = True + result["user_id"] = current_user.id + else: + result["user_accessible"] = False + except Exception as e: + result["error"] = str(e) # type: ignore + + # Run the function in a separate thread + thread = threading.Thread(target=check_user_in_thread_with_manager) + thread.start() + thread.join() + + # Verify that current_user is accessible and has the correct ID + assert result["error"] is None + assert result["user_accessible"] is True + assert result["user_id"] == "test_user" diff --git a/api/tests/unit_tests/models/__init__.py b/api/tests/unit_tests/models/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/unit_tests/models/test_workflow.py b/api/tests/unit_tests/models/test_workflow.py index b79e95c7ed..69163d48bd 100644 --- a/api/tests/unit_tests/models/test_workflow.py +++ b/api/tests/unit_tests/models/test_workflow.py @@ -1,10 +1,15 @@ +import dataclasses import json from unittest import mock from uuid import uuid4 from constants import HIDDEN_VALUE +from core.file.enums import FileTransferMethod, FileType +from core.file.models import File from core.variables import FloatVariable, IntegerVariable, SecretVariable, StringVariable -from models.workflow import Workflow, WorkflowNodeExecutionModel +from core.variables.segments import IntegerSegment, Segment +from factories.variable_factory import build_segment +from models.workflow import Workflow, WorkflowDraftVariable, WorkflowNodeExecutionModel, is_system_variable_editable def test_environment_variables(): @@ -163,3 +168,147 @@ class TestWorkflowNodeExecution: original = {"a": 1, "b": ["2"]} node_exec.execution_metadata = json.dumps(original) assert node_exec.execution_metadata_dict == original + + +class TestIsSystemVariableEditable: + def test_is_system_variable(self): + cases = [ + ("query", True), + ("files", True), + ("dialogue_count", False), + ("conversation_id", False), + ("user_id", False), + ("app_id", False), + ("workflow_id", False), + ("workflow_run_id", False), + ] + for name, editable in cases: + assert editable == is_system_variable_editable(name) + + assert is_system_variable_editable("invalid_or_new_system_variable") == False + + +class TestWorkflowDraftVariableGetValue: + def test_get_value_by_case(self): + @dataclasses.dataclass + class TestCase: + name: str + value: Segment + + tenant_id = "test_tenant_id" + + test_file = File( + tenant_id=tenant_id, + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://example.com/example.jpg", + filename="example.jpg", + extension=".jpg", + mime_type="image/jpeg", + size=100, + ) + cases: list[TestCase] = [ + TestCase( + name="number/int", + value=build_segment(1), + ), + TestCase( + name="number/float", + value=build_segment(1.0), + ), + TestCase( + name="string", + value=build_segment("a"), + ), + TestCase( + name="object", + value=build_segment({}), + ), + TestCase( + name="file", + value=build_segment(test_file), + ), + TestCase( + name="array[any]", + value=build_segment([1, "a"]), + ), + TestCase( + name="array[string]", + value=build_segment(["a", "b"]), + ), + TestCase( + name="array[number]/int", + value=build_segment([1, 2]), + ), + TestCase( + name="array[number]/float", + value=build_segment([1.0, 2.0]), + ), + TestCase( + name="array[number]/mixed", + value=build_segment([1, 2.0]), + ), + TestCase( + name="array[object]", + value=build_segment([{}, {"a": 1}]), + ), + TestCase( + name="none", + value=build_segment(None), + ), + ] + + for idx, c in enumerate(cases, 1): + fail_msg = f"test case {c.name} failed, index={idx}" + draft_var = WorkflowDraftVariable() + draft_var.set_value(c.value) + assert c.value == draft_var.get_value(), fail_msg + + def test_file_variable_preserves_all_fields(self): + """Test that File type variables preserve all fields during encoding/decoding.""" + tenant_id = "test_tenant_id" + + # Create a File with specific field values + test_file = File( + id="test_file_id", + tenant_id=tenant_id, + type=FileType.IMAGE, + transfer_method=FileTransferMethod.REMOTE_URL, + remote_url="https://example.com/test.jpg", + filename="test.jpg", + extension=".jpg", + mime_type="image/jpeg", + size=12345, # Specific size to test preservation + storage_key="test_storage_key", + ) + + # Create a FileSegment and WorkflowDraftVariable + file_segment = build_segment(test_file) + draft_var = WorkflowDraftVariable() + draft_var.set_value(file_segment) + + # Retrieve the value and verify all fields are preserved + retrieved_segment = draft_var.get_value() + retrieved_file = retrieved_segment.value + + # Verify all important fields are preserved + assert retrieved_file.id == test_file.id + assert retrieved_file.tenant_id == test_file.tenant_id + assert retrieved_file.type == test_file.type + assert retrieved_file.transfer_method == test_file.transfer_method + assert retrieved_file.remote_url == test_file.remote_url + assert retrieved_file.filename == test_file.filename + assert retrieved_file.extension == test_file.extension + assert retrieved_file.mime_type == test_file.mime_type + assert retrieved_file.size == test_file.size # This was the main issue being fixed + # Note: storage_key is not serialized in model_dump() so it won't be preserved + + # Verify the segments have the same type and the important fields match + assert file_segment.value_type == retrieved_segment.value_type + + def test_get_and_set_value(self): + draft_var = WorkflowDraftVariable() + int_var = IntegerSegment(value=1) + draft_var.set_value(int_var) + value = draft_var.get_value() + assert value == int_var diff --git a/api/tests/unit_tests/services/test_dataset_service.py b/api/tests/unit_tests/services/test_dataset_service.py new file mode 100644 index 0000000000..f22500cfe4 --- /dev/null +++ b/api/tests/unit_tests/services/test_dataset_service.py @@ -0,0 +1,1238 @@ +import datetime +import unittest + +# Mock redis_client before importing dataset_service +from unittest.mock import Mock, call, patch + +import pytest + +from models.dataset import Dataset, Document +from services.dataset_service import DocumentService +from services.errors.document import DocumentIndexingError +from tests.unit_tests.conftest import redis_mock + + +class TestDatasetServiceBatchUpdateDocumentStatus(unittest.TestCase): + """ + Comprehensive unit tests for DocumentService.batch_update_document_status method. + + This test suite covers all supported actions (enable, disable, archive, un_archive), + error conditions, edge cases, and validates proper interaction with Redis cache, + database operations, and async task triggers. + """ + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_enable_documents_success(self, mock_datetime, mock_get_doc, mock_add_task, mock_db): + """ + Test successful enabling of disabled documents. + + Verifies that: + 1. Only disabled documents are processed (already enabled documents are skipped) + 2. Document attributes are updated correctly (enabled=True, metadata cleared) + 3. Database changes are committed for each document + 4. Redis cache keys are set to prevent concurrent indexing + 5. Async indexing task is triggered for each enabled document + 6. Timestamp fields are properly updated + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock disabled document + mock_disabled_doc_1 = Mock(spec=Document) + mock_disabled_doc_1.id = "doc-1" + mock_disabled_doc_1.name = "disabled_document.pdf" + mock_disabled_doc_1.enabled = False + mock_disabled_doc_1.archived = False + mock_disabled_doc_1.indexing_status = "completed" + mock_disabled_doc_1.completed_at = datetime.datetime.now() + + mock_disabled_doc_2 = Mock(spec=Document) + mock_disabled_doc_2.id = "doc-2" + mock_disabled_doc_2.name = "disabled_document.pdf" + mock_disabled_doc_2.enabled = False + mock_disabled_doc_2.archived = False + mock_disabled_doc_2.indexing_status = "completed" + mock_disabled_doc_2.completed_at = datetime.datetime.now() + + # Set up mock return values + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + # Mock document retrieval to return disabled documents + mock_get_doc.side_effect = [mock_disabled_doc_1, mock_disabled_doc_2] + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Call the method to enable documents + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1", "doc-2"], action="enable", user=mock_user + ) + + # Verify document attributes were updated correctly + for mock_doc in [mock_disabled_doc_1, mock_disabled_doc_2]: + # Check that document was enabled + assert mock_doc.enabled == True + # Check that disable metadata was cleared + assert mock_doc.disabled_at is None + assert mock_doc.disabled_by is None + # Check that update timestamp was set + assert mock_doc.updated_at == current_time.replace(tzinfo=None) + + # Verify Redis cache operations + expected_cache_calls = [call("document_doc-1_indexing"), call("document_doc-2_indexing")] + redis_mock.get.assert_has_calls(expected_cache_calls) + + # Verify Redis cache was set to prevent concurrent indexing (600 seconds) + expected_setex_calls = [call("document_doc-1_indexing", 600, 1), call("document_doc-2_indexing", 600, 1)] + redis_mock.setex.assert_has_calls(expected_setex_calls) + + # Verify async tasks were triggered for indexing + expected_task_calls = [call("doc-1"), call("doc-2")] + mock_add_task.delay.assert_has_calls(expected_task_calls) + + # Verify database add counts (one add for one document) + assert mock_db.add.call_count == 2 + # Verify database commits (one commit for the batch operation) + assert mock_db.commit.call_count == 1 + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.remove_document_from_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_disable_documents_success(self, mock_datetime, mock_get_doc, mock_remove_task, mock_db): + """ + Test successful disabling of enabled and completed documents. + + Verifies that: + 1. Only completed and enabled documents can be disabled + 2. Document attributes are updated correctly (enabled=False, disable metadata set) + 3. User ID is recorded in disabled_by field + 4. Database changes are committed for each document + 5. Redis cache keys are set to prevent concurrent indexing + 6. Async task is triggered to remove documents from index + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock enabled document + mock_enabled_doc_1 = Mock(spec=Document) + mock_enabled_doc_1.id = "doc-1" + mock_enabled_doc_1.name = "enabled_document.pdf" + mock_enabled_doc_1.enabled = True + mock_enabled_doc_1.archived = False + mock_enabled_doc_1.indexing_status = "completed" + mock_enabled_doc_1.completed_at = datetime.datetime.now() + + mock_enabled_doc_2 = Mock(spec=Document) + mock_enabled_doc_2.id = "doc-2" + mock_enabled_doc_2.name = "enabled_document.pdf" + mock_enabled_doc_2.enabled = True + mock_enabled_doc_2.archived = False + mock_enabled_doc_2.indexing_status = "completed" + mock_enabled_doc_2.completed_at = datetime.datetime.now() + + # Set up mock return values + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + # Mock document retrieval to return enabled, completed documents + mock_get_doc.side_effect = [mock_enabled_doc_1, mock_enabled_doc_2] + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Call the method to disable documents + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1", "doc-2"], action="disable", user=mock_user + ) + + # Verify document attributes were updated correctly + for mock_doc in [mock_enabled_doc_1, mock_enabled_doc_2]: + # Check that document was disabled + assert mock_doc.enabled == False + # Check that disable metadata was set correctly + assert mock_doc.disabled_at == current_time.replace(tzinfo=None) + assert mock_doc.disabled_by == mock_user.id + # Check that update timestamp was set + assert mock_doc.updated_at == current_time.replace(tzinfo=None) + + # Verify Redis cache operations for indexing prevention + expected_setex_calls = [call("document_doc-1_indexing", 600, 1), call("document_doc-2_indexing", 600, 1)] + redis_mock.setex.assert_has_calls(expected_setex_calls) + + # Verify async tasks were triggered to remove from index + expected_task_calls = [call("doc-1"), call("doc-2")] + mock_remove_task.delay.assert_has_calls(expected_task_calls) + + # Verify database add counts (one add for one document) + assert mock_db.add.call_count == 2 + # Verify database commits (totally 1 for any batch operation) + assert mock_db.commit.call_count == 1 + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.remove_document_from_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_archive_documents_success(self, mock_datetime, mock_get_doc, mock_remove_task, mock_db): + """ + Test successful archiving of unarchived documents. + + Verifies that: + 1. Only unarchived documents are processed (already archived are skipped) + 2. Document attributes are updated correctly (archived=True, archive metadata set) + 3. User ID is recorded in archived_by field + 4. If documents are enabled, they are removed from the index + 5. Redis cache keys are set only for enabled documents being archived + 6. Database changes are committed for each document + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create unarchived enabled document + unarchived_doc = Mock(spec=Document) + # Manually set attributes to ensure they can be modified + unarchived_doc.id = "doc-1" + unarchived_doc.name = "unarchived_document.pdf" + unarchived_doc.enabled = True + unarchived_doc.archived = False + + # Set up mock return values + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + mock_get_doc.return_value = unarchived_doc + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Call the method to archive documents + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="archive", user=mock_user + ) + + # Verify document attributes were updated correctly + assert unarchived_doc.archived == True + assert unarchived_doc.archived_at == current_time.replace(tzinfo=None) + assert unarchived_doc.archived_by == mock_user.id + assert unarchived_doc.updated_at == current_time.replace(tzinfo=None) + + # Verify Redis cache was set (because document was enabled) + redis_mock.setex.assert_called_once_with("document_doc-1_indexing", 600, 1) + + # Verify async task was triggered to remove from index (because enabled) + mock_remove_task.delay.assert_called_once_with("doc-1") + + # Verify database add + mock_db.add.assert_called_once() + # Verify database commit + mock_db.commit.assert_called_once() + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_unarchive_documents_success(self, mock_datetime, mock_get_doc, mock_add_task, mock_db): + """ + Test successful unarchiving of archived documents. + + Verifies that: + 1. Only archived documents are processed (already unarchived are skipped) + 2. Document attributes are updated correctly (archived=False, archive metadata cleared) + 3. If documents are enabled, they are added back to the index + 4. Redis cache keys are set only for enabled documents being unarchived + 5. Database changes are committed for each document + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock archived document + mock_archived_doc = Mock(spec=Document) + mock_archived_doc.id = "doc-3" + mock_archived_doc.name = "archived_document.pdf" + mock_archived_doc.enabled = True + mock_archived_doc.archived = True + mock_archived_doc.indexing_status = "completed" + mock_archived_doc.completed_at = datetime.datetime.now() + + # Set up mock return values + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + mock_get_doc.return_value = mock_archived_doc + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Call the method to unarchive documents + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-3"], action="un_archive", user=mock_user + ) + + # Verify document attributes were updated correctly + assert mock_archived_doc.archived == False + assert mock_archived_doc.archived_at is None + assert mock_archived_doc.archived_by is None + assert mock_archived_doc.updated_at == current_time.replace(tzinfo=None) + + # Verify Redis cache was set (because document is enabled) + redis_mock.setex.assert_called_once_with("document_doc-3_indexing", 600, 1) + + # Verify async task was triggered to add back to index (because enabled) + mock_add_task.delay.assert_called_once_with("doc-3") + + # Verify database add + mock_db.add.assert_called_once() + # Verify database commit + mock_db.commit.assert_called_once() + + @patch("services.dataset_service.DocumentService.get_document") + def test_batch_update_document_indexing_error_redis_cache_hit(self, mock_get_doc): + """ + Test that DocumentIndexingError is raised when documents are currently being indexed. + + Verifies that: + 1. The method checks Redis cache for active indexing operations + 2. DocumentIndexingError is raised if any document is being indexed + 3. Error message includes the document name for user feedback + 4. No further processing occurs when indexing is detected + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock enabled document + mock_enabled_doc = Mock(spec=Document) + mock_enabled_doc.id = "doc-1" + mock_enabled_doc.name = "enabled_document.pdf" + mock_enabled_doc.enabled = True + mock_enabled_doc.archived = False + mock_enabled_doc.indexing_status = "completed" + mock_enabled_doc.completed_at = datetime.datetime.now() + + # Set up mock to indicate document is being indexed + mock_get_doc.return_value = mock_enabled_doc + + # Reset module-level Redis mock, set to indexing status + redis_mock.reset_mock() + redis_mock.get.return_value = "indexing" + + # Verify that DocumentIndexingError is raised + with pytest.raises(DocumentIndexingError) as exc_info: + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="enable", user=mock_user + ) + + # Verify error message contains document name + assert "enabled_document.pdf" in str(exc_info.value) + assert "is being indexed" in str(exc_info.value) + + # Verify Redis cache was checked + redis_mock.get.assert_called_once_with("document_doc-1_indexing") + + @patch("services.dataset_service.DocumentService.get_document") + def test_batch_update_disable_non_completed_document_error(self, mock_get_doc): + """ + Test that DocumentIndexingError is raised when trying to disable non-completed documents. + + Verifies that: + 1. Only completed documents can be disabled + 2. DocumentIndexingError is raised for non-completed documents + 3. Error message indicates the document is not completed + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create a document that's not completed + non_completed_doc = Mock(spec=Document) + # Manually set attributes to ensure they can be modified + non_completed_doc.id = "doc-1" + non_completed_doc.name = "indexing_document.pdf" + non_completed_doc.enabled = True + non_completed_doc.indexing_status = "indexing" # Not completed + non_completed_doc.completed_at = None # Not completed + + mock_get_doc.return_value = non_completed_doc + + # Verify that DocumentIndexingError is raised + with pytest.raises(DocumentIndexingError) as exc_info: + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="disable", user=mock_user + ) + + # Verify error message indicates document is not completed + assert "is not completed" in str(exc_info.value) + + @patch("services.dataset_service.DocumentService.get_document") + def test_batch_update_empty_document_list(self, mock_get_doc): + """ + Test batch operations with an empty document ID list. + + Verifies that: + 1. The method handles empty input gracefully + 2. No document operations are performed with empty input + 3. No errors are raised with empty input + 4. Method returns early without processing + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Call method with empty document list + result = DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=[], action="enable", user=mock_user + ) + + # Verify no document lookups were performed + mock_get_doc.assert_not_called() + + # Verify method returns None (early return) + assert result is None + + @patch("services.dataset_service.DocumentService.get_document") + def test_batch_update_document_not_found_skipped(self, mock_get_doc): + """ + Test behavior when some documents don't exist in the database. + + Verifies that: + 1. Non-existent documents are gracefully skipped + 2. Processing continues for existing documents + 3. No errors are raised for missing document IDs + 4. Method completes successfully despite missing documents + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Mock document service to return None (document not found) + mock_get_doc.return_value = None + + # Call method with non-existent document ID + # This should not raise an error, just skip the missing document + try: + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["non-existent-doc"], action="enable", user=mock_user + ) + except Exception as e: + pytest.fail(f"Method should not raise exception for missing documents: {e}") + + # Verify document lookup was attempted + mock_get_doc.assert_called_once_with(mock_dataset.id, "non-existent-doc") + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.DocumentService.get_document") + def test_batch_update_enable_already_enabled_document_skipped(self, mock_get_doc, mock_db): + """ + Test enabling documents that are already enabled. + + Verifies that: + 1. Already enabled documents are skipped (no unnecessary operations) + 2. No database commits occur for already enabled documents + 3. No Redis cache operations occur for skipped documents + 4. No async tasks are triggered for skipped documents + 5. Method completes successfully + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock enabled document + mock_enabled_doc = Mock(spec=Document) + mock_enabled_doc.id = "doc-1" + mock_enabled_doc.name = "enabled_document.pdf" + mock_enabled_doc.enabled = True + mock_enabled_doc.archived = False + mock_enabled_doc.indexing_status = "completed" + mock_enabled_doc.completed_at = datetime.datetime.now() + + # Mock document that is already enabled + mock_get_doc.return_value = mock_enabled_doc # Already enabled + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Attempt to enable already enabled document + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="enable", user=mock_user + ) + + # Verify no database operations occurred (document was skipped) + mock_db.commit.assert_not_called() + + # Verify no Redis setex operations occurred (document was skipped) + redis_mock.setex.assert_not_called() + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.DocumentService.get_document") + def test_batch_update_archive_already_archived_document_skipped(self, mock_get_doc, mock_db): + """ + Test archiving documents that are already archived. + + Verifies that: + 1. Already archived documents are skipped (no unnecessary operations) + 2. No database commits occur for already archived documents + 3. No Redis cache operations occur for skipped documents + 4. No async tasks are triggered for skipped documents + 5. Method completes successfully + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock archived document + mock_archived_doc = Mock(spec=Document) + mock_archived_doc.id = "doc-3" + mock_archived_doc.name = "archived_document.pdf" + mock_archived_doc.enabled = True + mock_archived_doc.archived = True + mock_archived_doc.indexing_status = "completed" + mock_archived_doc.completed_at = datetime.datetime.now() + + # Mock document that is already archived + mock_get_doc.return_value = mock_archived_doc # Already archived + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Attempt to archive already archived document + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-3"], action="archive", user=mock_user + ) + + # Verify no database operations occurred (document was skipped) + mock_db.commit.assert_not_called() + + # Verify no Redis setex operations occurred (document was skipped) + redis_mock.setex.assert_not_called() + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.remove_document_from_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_mixed_document_states_and_actions( + self, mock_datetime, mock_get_doc, mock_remove_task, mock_add_task, mock_db + ): + """ + Test batch operations on documents with mixed states and various scenarios. + + Verifies that: + 1. Each document is processed according to its current state + 2. Some documents may be skipped while others are processed + 3. Different async tasks are triggered based on document states + 4. Method handles mixed scenarios gracefully + 5. Database commits occur only for documents that were actually modified + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock documents with different states + mock_disabled_doc = Mock(spec=Document) + mock_disabled_doc.id = "doc-1" + mock_disabled_doc.name = "disabled_document.pdf" + mock_disabled_doc.enabled = False + mock_disabled_doc.archived = False + mock_disabled_doc.indexing_status = "completed" + mock_disabled_doc.completed_at = datetime.datetime.now() + + mock_enabled_doc = Mock(spec=Document) + mock_enabled_doc.id = "doc-2" + mock_enabled_doc.name = "enabled_document.pdf" + mock_enabled_doc.enabled = True + mock_enabled_doc.archived = False + mock_enabled_doc.indexing_status = "completed" + mock_enabled_doc.completed_at = datetime.datetime.now() + + mock_archived_doc = Mock(spec=Document) + mock_archived_doc.id = "doc-3" + mock_archived_doc.name = "archived_document.pdf" + mock_archived_doc.enabled = True + mock_archived_doc.archived = True + mock_archived_doc.indexing_status = "completed" + mock_archived_doc.completed_at = datetime.datetime.now() + + # Set up mixed document states + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + # Mix of different document states + documents = [ + mock_disabled_doc, # Will be enabled + mock_enabled_doc, # Already enabled, will be skipped + mock_archived_doc, # Archived but enabled, will be skipped for enable action + ] + + mock_get_doc.side_effect = documents + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Perform enable operation on mixed state documents + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1", "doc-2", "doc-3"], action="enable", user=mock_user + ) + + # Verify only the disabled document was processed + # (enabled and archived documents should be skipped for enable action) + + # Only one add should occur (for the disabled document that was enabled) + mock_db.add.assert_called_once() + # Only one commit should occur + mock_db.commit.assert_called_once() + + # Only one Redis setex should occur (for the document that was enabled) + redis_mock.setex.assert_called_once_with("document_doc-1_indexing", 600, 1) + + # Only one async task should be triggered (for the document that was enabled) + mock_add_task.delay.assert_called_once_with("doc-1") + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.remove_document_from_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_archive_disabled_document_no_index_removal( + self, mock_datetime, mock_get_doc, mock_remove_task, mock_db + ): + """ + Test archiving disabled documents (should not trigger index removal). + + Verifies that: + 1. Disabled documents can be archived + 2. Archive metadata is set correctly + 3. No index removal task is triggered (because document is disabled) + 4. No Redis cache key is set (because document is disabled) + 5. Database commit still occurs + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Set up disabled, unarchived document + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + disabled_unarchived_doc = Mock(spec=Document) + # Manually set attributes to ensure they can be modified + disabled_unarchived_doc.id = "doc-1" + disabled_unarchived_doc.name = "disabled_document.pdf" + disabled_unarchived_doc.enabled = False # Disabled + disabled_unarchived_doc.archived = False # Not archived + + mock_get_doc.return_value = disabled_unarchived_doc + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Archive the disabled document + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="archive", user=mock_user + ) + + # Verify document was archived + assert disabled_unarchived_doc.archived == True + assert disabled_unarchived_doc.archived_at == current_time.replace(tzinfo=None) + assert disabled_unarchived_doc.archived_by == mock_user.id + + # Verify no Redis cache was set (document is disabled) + redis_mock.setex.assert_not_called() + + # Verify no index removal task was triggered (document is disabled) + mock_remove_task.delay.assert_not_called() + + # Verify database add still occurred + mock_db.add.assert_called_once() + # Verify database commit still occurred + mock_db.commit.assert_called_once() + + @patch("services.dataset_service.DocumentService.get_document") + def test_batch_update_invalid_action_error(self, mock_get_doc): + """ + Test that ValueError is raised when an invalid action is provided. + + Verifies that: + 1. Invalid actions are rejected with ValueError + 2. Error message includes the invalid action name + 3. No document processing occurs with invalid actions + 4. Method fails fast on invalid input + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock document + mock_doc = Mock(spec=Document) + mock_doc.id = "doc-1" + mock_doc.name = "test_document.pdf" + mock_doc.enabled = True + mock_doc.archived = False + + mock_get_doc.return_value = mock_doc + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Test with invalid action + invalid_action = "invalid_action" + with pytest.raises(ValueError) as exc_info: + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action=invalid_action, user=mock_user + ) + + # Verify error message contains the invalid action + assert invalid_action in str(exc_info.value) + assert "Invalid action" in str(exc_info.value) + + # Verify no Redis operations occurred + redis_mock.setex.assert_not_called() + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_disable_already_disabled_document_skipped( + self, mock_datetime, mock_get_doc, mock_add_task, mock_db + ): + """ + Test disabling documents that are already disabled. + + Verifies that: + 1. Already disabled documents are skipped (no unnecessary operations) + 2. No database commits occur for already disabled documents + 3. No Redis cache operations occur for skipped documents + 4. No async tasks are triggered for skipped documents + 5. Method completes successfully + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock disabled document + mock_disabled_doc = Mock(spec=Document) + mock_disabled_doc.id = "doc-1" + mock_disabled_doc.name = "disabled_document.pdf" + mock_disabled_doc.enabled = False # Already disabled + mock_disabled_doc.archived = False + mock_disabled_doc.indexing_status = "completed" + mock_disabled_doc.completed_at = datetime.datetime.now() + + # Mock document that is already disabled + mock_get_doc.return_value = mock_disabled_doc + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Attempt to disable already disabled document + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="disable", user=mock_user + ) + + # Verify no database operations occurred (document was skipped) + mock_db.commit.assert_not_called() + + # Verify no Redis setex operations occurred (document was skipped) + redis_mock.setex.assert_not_called() + + # Verify no async tasks were triggered (document was skipped) + mock_add_task.delay.assert_not_called() + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_unarchive_already_unarchived_document_skipped( + self, mock_datetime, mock_get_doc, mock_add_task, mock_db + ): + """ + Test unarchiving documents that are already unarchived. + + Verifies that: + 1. Already unarchived documents are skipped (no unnecessary operations) + 2. No database commits occur for already unarchived documents + 3. No Redis cache operations occur for skipped documents + 4. No async tasks are triggered for skipped documents + 5. Method completes successfully + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock unarchived document + mock_unarchived_doc = Mock(spec=Document) + mock_unarchived_doc.id = "doc-1" + mock_unarchived_doc.name = "unarchived_document.pdf" + mock_unarchived_doc.enabled = True + mock_unarchived_doc.archived = False # Already unarchived + mock_unarchived_doc.indexing_status = "completed" + mock_unarchived_doc.completed_at = datetime.datetime.now() + + # Mock document that is already unarchived + mock_get_doc.return_value = mock_unarchived_doc + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Attempt to unarchive already unarchived document + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="un_archive", user=mock_user + ) + + # Verify no database operations occurred (document was skipped) + mock_db.commit.assert_not_called() + + # Verify no Redis setex operations occurred (document was skipped) + redis_mock.setex.assert_not_called() + + # Verify no async tasks were triggered (document was skipped) + mock_add_task.delay.assert_not_called() + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_unarchive_disabled_document_no_index_addition( + self, mock_datetime, mock_get_doc, mock_add_task, mock_db + ): + """ + Test unarchiving disabled documents (should not trigger index addition). + + Verifies that: + 1. Disabled documents can be unarchived + 2. Unarchive metadata is cleared correctly + 3. No index addition task is triggered (because document is disabled) + 4. No Redis cache key is set (because document is disabled) + 5. Database commit still occurs + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock archived but disabled document + mock_archived_disabled_doc = Mock(spec=Document) + mock_archived_disabled_doc.id = "doc-1" + mock_archived_disabled_doc.name = "archived_disabled_document.pdf" + mock_archived_disabled_doc.enabled = False # Disabled + mock_archived_disabled_doc.archived = True # Archived + mock_archived_disabled_doc.indexing_status = "completed" + mock_archived_disabled_doc.completed_at = datetime.datetime.now() + + # Set up mock return values + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + mock_get_doc.return_value = mock_archived_disabled_doc + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Unarchive the disabled document + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="un_archive", user=mock_user + ) + + # Verify document was unarchived + assert mock_archived_disabled_doc.archived == False + assert mock_archived_disabled_doc.archived_at is None + assert mock_archived_disabled_doc.archived_by is None + assert mock_archived_disabled_doc.updated_at == current_time.replace(tzinfo=None) + + # Verify no Redis cache was set (document is disabled) + redis_mock.setex.assert_not_called() + + # Verify no index addition task was triggered (document is disabled) + mock_add_task.delay.assert_not_called() + + # Verify database add still occurred + mock_db.add.assert_called_once() + # Verify database commit still occurred + mock_db.commit.assert_called_once() + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_async_task_error_handling(self, mock_datetime, mock_get_doc, mock_add_task, mock_db): + """ + Test handling of async task errors during batch operations. + + Verifies that: + 1. Async task errors are properly handled + 2. Database operations complete successfully + 3. Redis cache operations complete successfully + 4. Method continues processing despite async task errors + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create mock disabled document + mock_disabled_doc = Mock(spec=Document) + mock_disabled_doc.id = "doc-1" + mock_disabled_doc.name = "disabled_document.pdf" + mock_disabled_doc.enabled = False + mock_disabled_doc.archived = False + mock_disabled_doc.indexing_status = "completed" + mock_disabled_doc.completed_at = datetime.datetime.now() + + # Set up mock return values + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + mock_get_doc.return_value = mock_disabled_doc + + # Mock async task to raise an exception + mock_add_task.delay.side_effect = Exception("Celery task error") + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Verify that async task error is propagated + with pytest.raises(Exception) as exc_info: + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=["doc-1"], action="enable", user=mock_user + ) + + # Verify error message + assert "Celery task error" in str(exc_info.value) + + # Verify database operations completed successfully + mock_db.add.assert_called_once() + mock_db.commit.assert_called_once() + + # Verify Redis cache was set successfully + redis_mock.setex.assert_called_once_with("document_doc-1_indexing", 600, 1) + + # Verify document was updated + assert mock_disabled_doc.enabled == True + assert mock_disabled_doc.disabled_at is None + assert mock_disabled_doc.disabled_by is None + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_large_document_list_performance(self, mock_datetime, mock_get_doc, mock_add_task, mock_db): + """ + Test batch operations with a large number of documents. + + Verifies that: + 1. Method can handle large document lists efficiently + 2. All documents are processed correctly + 3. Database commits occur for each document + 4. Redis cache operations occur for each document + 5. Async tasks are triggered for each document + 6. Performance remains consistent with large inputs + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create large list of document IDs + document_ids = [f"doc-{i}" for i in range(1, 101)] # 100 documents + + # Create mock documents + mock_documents = [] + for i in range(1, 101): + mock_doc = Mock(spec=Document) + mock_doc.id = f"doc-{i}" + mock_doc.name = f"document_{i}.pdf" + mock_doc.enabled = False # All disabled, will be enabled + mock_doc.archived = False + mock_doc.indexing_status = "completed" + mock_doc.completed_at = datetime.datetime.now() + mock_documents.append(mock_doc) + + # Set up mock return values + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + mock_get_doc.side_effect = mock_documents + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Perform batch enable operation + DocumentService.batch_update_document_status( + dataset=mock_dataset, document_ids=document_ids, action="enable", user=mock_user + ) + + # Verify all documents were processed + assert mock_get_doc.call_count == 100 + + # Verify all documents were updated + for mock_doc in mock_documents: + assert mock_doc.enabled == True + assert mock_doc.disabled_at is None + assert mock_doc.disabled_by is None + assert mock_doc.updated_at == current_time.replace(tzinfo=None) + + # Verify database commits, one add for one document + assert mock_db.add.call_count == 100 + # Verify database commits, one commit for the batch operation + assert mock_db.commit.call_count == 1 + + # Verify Redis cache operations occurred for each document + assert redis_mock.setex.call_count == 100 + + # Verify async tasks were triggered for each document + assert mock_add_task.delay.call_count == 100 + + # Verify correct Redis cache keys were set + expected_redis_calls = [call(f"document_doc-{i}_indexing", 600, 1) for i in range(1, 101)] + redis_mock.setex.assert_has_calls(expected_redis_calls) + + # Verify correct async task calls + expected_task_calls = [call(f"doc-{i}") for i in range(1, 101)] + mock_add_task.delay.assert_has_calls(expected_task_calls) + + @patch("extensions.ext_database.db.session") + @patch("services.dataset_service.add_document_to_index_task") + @patch("services.dataset_service.DocumentService.get_document") + @patch("services.dataset_service.datetime") + def test_batch_update_mixed_document_states_complex_scenario( + self, mock_datetime, mock_get_doc, mock_add_task, mock_db + ): + """ + Test complex batch operations with documents in various states. + + Verifies that: + 1. Each document is processed according to its current state + 2. Some documents are skipped while others are processed + 3. Different actions trigger different async tasks + 4. Database commits occur only for modified documents + 5. Redis cache operations occur only for relevant documents + 6. Method handles complex mixed scenarios correctly + """ + # Create mock dataset + mock_dataset = Mock(spec=Dataset) + mock_dataset.id = "dataset-123" + mock_dataset.tenant_id = "tenant-456" + + # Create mock user + mock_user = Mock() + mock_user.id = "user-789" + + # Create documents in various states + current_time = datetime.datetime(2023, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = current_time + mock_datetime.UTC = datetime.UTC + + # Document 1: Disabled, will be enabled + doc1 = Mock(spec=Document) + doc1.id = "doc-1" + doc1.name = "disabled_doc.pdf" + doc1.enabled = False + doc1.archived = False + doc1.indexing_status = "completed" + doc1.completed_at = datetime.datetime.now() + + # Document 2: Already enabled, will be skipped + doc2 = Mock(spec=Document) + doc2.id = "doc-2" + doc2.name = "enabled_doc.pdf" + doc2.enabled = True + doc2.archived = False + doc2.indexing_status = "completed" + doc2.completed_at = datetime.datetime.now() + + # Document 3: Enabled and completed, will be disabled + doc3 = Mock(spec=Document) + doc3.id = "doc-3" + doc3.name = "enabled_completed_doc.pdf" + doc3.enabled = True + doc3.archived = False + doc3.indexing_status = "completed" + doc3.completed_at = datetime.datetime.now() + + # Document 4: Unarchived, will be archived + doc4 = Mock(spec=Document) + doc4.id = "doc-4" + doc4.name = "unarchived_doc.pdf" + doc4.enabled = True + doc4.archived = False + doc4.indexing_status = "completed" + doc4.completed_at = datetime.datetime.now() + + # Document 5: Archived, will be unarchived + doc5 = Mock(spec=Document) + doc5.id = "doc-5" + doc5.name = "archived_doc.pdf" + doc5.enabled = True + doc5.archived = True + doc5.indexing_status = "completed" + doc5.completed_at = datetime.datetime.now() + + # Document 6: Non-existent, will be skipped + doc6 = None + + mock_get_doc.side_effect = [doc1, doc2, doc3, doc4, doc5, doc6] + + # Reset module-level Redis mock + redis_mock.reset_mock() + redis_mock.get.return_value = None + + # Perform mixed batch operations + DocumentService.batch_update_document_status( + dataset=mock_dataset, + document_ids=["doc-1", "doc-2", "doc-3", "doc-4", "doc-5", "doc-6"], + action="enable", # This will only affect doc1 and doc3 (doc3 will be enabled then disabled) + user=mock_user, + ) + + # Verify document 1 was enabled + assert doc1.enabled == True + assert doc1.disabled_at is None + assert doc1.disabled_by is None + + # Verify document 2 was skipped (already enabled) + assert doc2.enabled == True # No change + + # Verify document 3 was skipped (already enabled) + assert doc3.enabled == True + + # Verify document 4 was skipped (not affected by enable action) + assert doc4.enabled == True # No change + + # Verify document 5 was skipped (not affected by enable action) + assert doc5.enabled == True # No change + + # Verify database commits occurred for processed documents + # Only doc1 should be added (doc2, doc3, doc4, doc5 were skipped, doc6 doesn't exist) + assert mock_db.add.call_count == 1 + assert mock_db.commit.call_count == 1 + + # Verify Redis cache operations occurred for processed documents + # Only doc1 should have Redis operations + assert redis_mock.setex.call_count == 1 + + # Verify async tasks were triggered for processed documents + # Only doc1 should trigger tasks + assert mock_add_task.delay.call_count == 1 + + # Verify correct Redis cache keys were set + expected_redis_calls = [call("document_doc-1_indexing", 600, 1)] + redis_mock.setex.assert_has_calls(expected_redis_calls) + + # Verify correct async task calls + expected_task_calls = [call("doc-1")] + mock_add_task.delay.assert_has_calls(expected_task_calls) diff --git a/api/tests/unit_tests/services/workflow/test_workflow_draft_variable_service.py b/api/tests/unit_tests/services/workflow/test_workflow_draft_variable_service.py new file mode 100644 index 0000000000..8ae69c8d64 --- /dev/null +++ b/api/tests/unit_tests/services/workflow/test_workflow_draft_variable_service.py @@ -0,0 +1,222 @@ +import dataclasses +import secrets +from unittest import mock +from unittest.mock import Mock, patch + +import pytest +from sqlalchemy.orm import Session + +from core.app.entities.app_invoke_entities import InvokeFrom +from core.variables.types import SegmentType +from core.workflow.constants import SYSTEM_VARIABLE_NODE_ID +from core.workflow.nodes import NodeType +from models.enums import DraftVariableType +from models.workflow import Workflow, WorkflowDraftVariable, WorkflowNodeExecutionModel +from services.workflow_draft_variable_service import ( + DraftVariableSaver, + VariableResetError, + WorkflowDraftVariableService, +) + + +class TestDraftVariableSaver: + def _get_test_app_id(self): + suffix = secrets.token_hex(6) + return f"test_app_id_{suffix}" + + def test__should_variable_be_visible(self): + mock_session = mock.MagicMock(spec=Session) + test_app_id = self._get_test_app_id() + saver = DraftVariableSaver( + session=mock_session, + app_id=test_app_id, + node_id="test_node_id", + node_type=NodeType.START, + invoke_from=InvokeFrom.DEBUGGER, + node_execution_id="test_execution_id", + ) + assert saver._should_variable_be_visible("123_456", NodeType.IF_ELSE, "output") == False + assert saver._should_variable_be_visible("123", NodeType.START, "output") == True + + def test__normalize_variable_for_start_node(self): + @dataclasses.dataclass(frozen=True) + class TestCase: + name: str + input_node_id: str + input_name: str + expected_node_id: str + expected_name: str + + _NODE_ID = "1747228642872" + cases = [ + TestCase( + name="name with `sys.` prefix should return the system node_id", + input_node_id=_NODE_ID, + input_name="sys.workflow_id", + expected_node_id=SYSTEM_VARIABLE_NODE_ID, + expected_name="workflow_id", + ), + TestCase( + name="name without `sys.` prefix should return the original input node_id", + input_node_id=_NODE_ID, + input_name="start_input", + expected_node_id=_NODE_ID, + expected_name="start_input", + ), + TestCase( + name="dummy_variable should return the original input node_id", + input_node_id=_NODE_ID, + input_name="__dummy__", + expected_node_id=_NODE_ID, + expected_name="__dummy__", + ), + ] + + mock_session = mock.MagicMock(spec=Session) + test_app_id = self._get_test_app_id() + saver = DraftVariableSaver( + session=mock_session, + app_id=test_app_id, + node_id=_NODE_ID, + node_type=NodeType.START, + invoke_from=InvokeFrom.DEBUGGER, + node_execution_id="test_execution_id", + ) + for idx, c in enumerate(cases, 1): + fail_msg = f"Test case {c.name} failed, index={idx}" + node_id, name = saver._normalize_variable_for_start_node(c.input_name) + assert node_id == c.expected_node_id, fail_msg + assert name == c.expected_name, fail_msg + + +class TestWorkflowDraftVariableService: + def _get_test_app_id(self): + suffix = secrets.token_hex(6) + return f"test_app_id_{suffix}" + + def test_reset_conversation_variable(self): + """Test resetting a conversation variable""" + mock_session = Mock(spec=Session) + service = WorkflowDraftVariableService(mock_session) + mock_workflow = Mock(spec=Workflow) + mock_workflow.app_id = self._get_test_app_id() + + # Create mock variable + mock_variable = Mock(spec=WorkflowDraftVariable) + mock_variable.get_variable_type.return_value = DraftVariableType.CONVERSATION + mock_variable.id = "var-id" + mock_variable.name = "test_var" + + # Mock the _reset_conv_var method + expected_result = Mock(spec=WorkflowDraftVariable) + with patch.object(service, "_reset_conv_var", return_value=expected_result) as mock_reset_conv: + result = service.reset_variable(mock_workflow, mock_variable) + + mock_reset_conv.assert_called_once_with(mock_workflow, mock_variable) + assert result == expected_result + + def test_reset_node_variable_with_no_execution_id(self): + """Test resetting a node variable with no execution ID - should delete variable""" + mock_session = Mock(spec=Session) + service = WorkflowDraftVariableService(mock_session) + mock_workflow = Mock(spec=Workflow) + mock_workflow.app_id = self._get_test_app_id() + + # Create mock variable with no execution ID + mock_variable = Mock(spec=WorkflowDraftVariable) + mock_variable.get_variable_type.return_value = DraftVariableType.NODE + mock_variable.node_execution_id = None + mock_variable.id = "var-id" + mock_variable.name = "test_var" + + result = service._reset_node_var(mock_workflow, mock_variable) + + # Should delete the variable and return None + mock_session.delete.assert_called_once_with(instance=mock_variable) + mock_session.flush.assert_called_once() + assert result is None + + def test_reset_node_variable_with_missing_execution_record(self): + """Test resetting a node variable when execution record doesn't exist""" + mock_session = Mock(spec=Session) + service = WorkflowDraftVariableService(mock_session) + mock_workflow = Mock(spec=Workflow) + mock_workflow.app_id = self._get_test_app_id() + + # Create mock variable with execution ID + mock_variable = Mock(spec=WorkflowDraftVariable) + mock_variable.get_variable_type.return_value = DraftVariableType.NODE + mock_variable.node_execution_id = "exec-id" + mock_variable.id = "var-id" + mock_variable.name = "test_var" + + # Mock session.scalars to return None (no execution record found) + mock_scalars = Mock() + mock_scalars.first.return_value = None + mock_session.scalars.return_value = mock_scalars + + result = service._reset_node_var(mock_workflow, mock_variable) + + # Should delete the variable and return None + mock_session.delete.assert_called_once_with(instance=mock_variable) + mock_session.flush.assert_called_once() + assert result is None + + def test_reset_node_variable_with_valid_execution_record(self): + """Test resetting a node variable with valid execution record - should restore from execution""" + mock_session = Mock(spec=Session) + service = WorkflowDraftVariableService(mock_session) + mock_workflow = Mock(spec=Workflow) + mock_workflow.app_id = self._get_test_app_id() + + # Create mock variable with execution ID + mock_variable = Mock(spec=WorkflowDraftVariable) + mock_variable.get_variable_type.return_value = DraftVariableType.NODE + mock_variable.node_execution_id = "exec-id" + mock_variable.id = "var-id" + mock_variable.name = "test_var" + mock_variable.node_id = "node-id" + mock_variable.value_type = SegmentType.STRING + + # Create mock execution record + mock_execution = Mock(spec=WorkflowNodeExecutionModel) + mock_execution.process_data_dict = {"test_var": "process_value"} + mock_execution.outputs_dict = {"test_var": "output_value"} + + # Mock session.scalars to return the execution record + mock_scalars = Mock() + mock_scalars.first.return_value = mock_execution + mock_session.scalars.return_value = mock_scalars + + # Mock workflow methods + mock_node_config = {"type": "test_node"} + mock_workflow.get_node_config_by_id.return_value = mock_node_config + mock_workflow.get_node_type_from_node_config.return_value = NodeType.LLM + + result = service._reset_node_var(mock_workflow, mock_variable) + + # Verify variable.set_value was called with the correct value + mock_variable.set_value.assert_called_once() + # Verify last_edited_at was reset + assert mock_variable.last_edited_at is None + # Verify session.flush was called + mock_session.flush.assert_called() + + # Should return the updated variable + assert result == mock_variable + + def test_reset_system_variable_raises_error(self): + """Test that resetting a system variable raises an error""" + mock_session = Mock(spec=Session) + service = WorkflowDraftVariableService(mock_session) + mock_workflow = Mock(spec=Workflow) + mock_workflow.app_id = self._get_test_app_id() + + mock_variable = Mock(spec=WorkflowDraftVariable) + mock_variable.get_variable_type.return_value = DraftVariableType.SYS # Not a valid enum value for this test + mock_variable.id = "var-id" + + with pytest.raises(VariableResetError) as exc_info: + service.reset_variable(mock_workflow, mock_variable) + assert "cannot reset system variable" in str(exc_info.value) + assert "variable_id=var-id" in str(exc_info.value) diff --git a/api/uv.lock b/api/uv.lock index c900191ceb..66bfdcef36 100644 --- a/api/uv.lock +++ b/api/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 1 requires-python = ">=3.11, <3.13" resolution-markers = [ "python_full_version >= '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'", @@ -20,23 +20,23 @@ resolution-markers = [ name = "aiofiles" version = "24.1.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" } +sdist = { url = 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d4d59936eb..275da8e2e4 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -399,7 +399,7 @@ SUPABASE_URL=your-server-url # ------------------------------ # The type of vector store to use. -# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`, `oceanbase`, `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`. +# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`, `oceanbase`, `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`. VECTOR_STORE=weaviate # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`. @@ -490,6 +490,13 @@ TIDB_VECTOR_USER= TIDB_VECTOR_PASSWORD= TIDB_VECTOR_DATABASE=dify +# Matrixone vector configurations. +MATRIXONE_HOST=matrixone +MATRIXONE_PORT=6001 +MATRIXONE_USER=dump +MATRIXONE_PASSWORD=111 +MATRIXONE_DATABASE=dify + # Tidb on qdrant configuration, only available when VECTOR_STORE is `tidb_on_qdrant` TIDB_ON_QDRANT_URL=http://127.0.0.1 TIDB_ON_QDRANT_API_KEY=dify @@ -719,10 +726,11 @@ NOTION_INTERNAL_SECRET= # Mail related configuration # ------------------------------ -# Mail type, support: resend, smtp +# Mail type, support: resend, smtp, sendgrid MAIL_TYPE=resend # Default send from email address, if not specified +# If using SendGrid, use the 'from' field for authentication if necessary. MAIL_DEFAULT_SEND_FROM= # API-Key for the Resend email provider, used when MAIL_TYPE is `resend`. @@ -738,6 +746,9 @@ SMTP_PASSWORD= SMTP_USE_TLS=true SMTP_OPPORTUNISTIC_TLS=false +# Sendgid configuration +SENDGRID_API_KEY= + # ------------------------------ # Others Configuration # ------------------------------ @@ -787,6 +798,9 @@ HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760 HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 HTTP_REQUEST_NODE_SSL_VERIFY=True +# Respect X-* headers to redirect clients +RESPECT_XFORWARD_HEADERS_ENABLED=false + # SSRF Proxy server HTTP URL SSRF_PROXY_HTTP_URL=http://ssrf_proxy:3128 # SSRF Proxy server HTTPS URL @@ -815,7 +829,8 @@ TEXT_GENERATION_TIMEOUT_MS=60000 # Environment Variables for db Service # ------------------------------ -PGUSER=${DB_USERNAME} +# The name of the default postgres user. +POSTGRES_USER=${DB_USERNAME} # The password for the default postgres user. POSTGRES_PASSWORD=${DB_PASSWORD} # The name of the default postgres database. @@ -1067,7 +1082,7 @@ PLUGIN_MEDIA_CACHE_PATH=assets # Plugin oss bucket PLUGIN_STORAGE_OSS_BUCKET= # Plugin oss s3 credentials -PLUGIN_S3_USE_AWS= +PLUGIN_S3_USE_AWS=false PLUGIN_S3_USE_AWS_MANAGED_IAM=false PLUGIN_S3_ENDPOINT= PLUGIN_S3_USE_PATH_STYLE=false diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml index 1462957a92..f370934a3a 100644 --- a/docker/docker-compose-template.yaml +++ b/docker/docker-compose-template.yaml @@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env services: # API service api: - image: langgenius/dify-api:1.4.2 + image: langgenius/dify-api:1.4.3 restart: always environment: # Use the shared environment variables. @@ -31,7 +31,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:1.4.2 + image: langgenius/dify-api:1.4.3 restart: always environment: # Use the shared environment variables. @@ -57,7 +57,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:1.4.2 + image: langgenius/dify-web:1.4.3 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -84,7 +84,7 @@ services: image: postgres:15-alpine restart: always environment: - PGUSER: ${PGUSER:-postgres} + POSTGRES_USER: ${POSTGRES_USER:-postgres} POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-difyai123456} POSTGRES_DB: ${POSTGRES_DB:-dify} PGDATA: ${PGDATA:-/var/lib/postgresql/data/pgdata} @@ -451,6 +451,14 @@ services: OB_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai} OB_SERVER_IP: 127.0.0.1 MODE: mini + ports: + - "${OCEANBASE_VECTOR_PORT:-2881}:2881" + healthcheck: + test: [ 'CMD-SHELL', 'obclient -h127.0.0.1 -P2881 -uroot@test -p$${OB_TENANT_PASSWORD} -e "SELECT 1;"' ] + interval: 10s + retries: 30 + start_period: 30s + timeout: 10s # Oracle vector database oracle: @@ -609,6 +617,18 @@ services: ports: - ${MYSCALE_PORT:-8123}:${MYSCALE_PORT:-8123} + # Matrixone vector store. + matrixone: + hostname: matrixone + image: matrixorigin/matrixone:2.1.1 + profiles: + - matrixone + restart: always + volumes: + - ./volumes/matrixone/data:/mo-data + ports: + - ${MATRIXONE_PORT:-6001}:${MATRIXONE_PORT:-6001} + # https://www.elastic.co/guide/en/elasticsearch/reference/current/settings.html # https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html#docker-prod-prerequisites elasticsearch: diff --git a/docker/docker-compose.middleware.yaml b/docker/docker-compose.middleware.yaml index 4081bfd818..5308a1f978 100644 --- a/docker/docker-compose.middleware.yaml +++ b/docker/docker-compose.middleware.yaml @@ -104,7 +104,7 @@ services: PLUGIN_PACKAGE_CACHE_PATH: ${PLUGIN_PACKAGE_CACHE_PATH:-plugin_packages} PLUGIN_MEDIA_CACHE_PATH: ${PLUGIN_MEDIA_CACHE_PATH:-assets} PLUGIN_STORAGE_OSS_BUCKET: ${PLUGIN_STORAGE_OSS_BUCKET:-} - S3_USE_AWS: ${PLUGIN_S3_USE_AWS:-} + S3_USE_AWS: ${PLUGIN_S3_USE_AWS:-false} S3_USE_AWS_MANAGED_IAM: ${PLUGIN_S3_USE_AWS_MANAGED_IAM:-false} S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 1f66017340..335bda89f4 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -195,6 +195,11 @@ x-shared-env: &shared-api-worker-env TIDB_VECTOR_USER: ${TIDB_VECTOR_USER:-} TIDB_VECTOR_PASSWORD: ${TIDB_VECTOR_PASSWORD:-} TIDB_VECTOR_DATABASE: ${TIDB_VECTOR_DATABASE:-dify} + MATRIXONE_HOST: ${MATRIXONE_HOST:-matrixone} + MATRIXONE_PORT: ${MATRIXONE_PORT:-6001} + MATRIXONE_USER: ${MATRIXONE_USER:-dump} + MATRIXONE_PASSWORD: ${MATRIXONE_PASSWORD:-111} + MATRIXONE_DATABASE: ${MATRIXONE_DATABASE:-dify} TIDB_ON_QDRANT_URL: ${TIDB_ON_QDRANT_URL:-http://127.0.0.1} TIDB_ON_QDRANT_API_KEY: ${TIDB_ON_QDRANT_API_KEY:-dify} TIDB_ON_QDRANT_CLIENT_TIMEOUT: ${TIDB_ON_QDRANT_CLIENT_TIMEOUT:-20} @@ -322,6 +327,7 @@ x-shared-env: &shared-api-worker-env SMTP_PASSWORD: ${SMTP_PASSWORD:-} SMTP_USE_TLS: ${SMTP_USE_TLS:-true} SMTP_OPPORTUNISTIC_TLS: ${SMTP_OPPORTUNISTIC_TLS:-false} + SENDGRID_API_KEY: ${SENDGRID_API_KEY:-} INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-4000} INVITE_EXPIRY_HOURS: ${INVITE_EXPIRY_HOURS:-72} RESET_PASSWORD_TOKEN_EXPIRY_MINUTES: ${RESET_PASSWORD_TOKEN_EXPIRY_MINUTES:-5} @@ -349,6 +355,7 @@ x-shared-env: &shared-api-worker-env HTTP_REQUEST_NODE_MAX_BINARY_SIZE: ${HTTP_REQUEST_NODE_MAX_BINARY_SIZE:-10485760} HTTP_REQUEST_NODE_MAX_TEXT_SIZE: ${HTTP_REQUEST_NODE_MAX_TEXT_SIZE:-1048576} HTTP_REQUEST_NODE_SSL_VERIFY: ${HTTP_REQUEST_NODE_SSL_VERIFY:-True} + RESPECT_XFORWARD_HEADERS_ENABLED: ${RESPECT_XFORWARD_HEADERS_ENABLED:-false} SSRF_PROXY_HTTP_URL: ${SSRF_PROXY_HTTP_URL:-http://ssrf_proxy:3128} SSRF_PROXY_HTTPS_URL: ${SSRF_PROXY_HTTPS_URL:-http://ssrf_proxy:3128} LOOP_NODE_MAX_COUNT: ${LOOP_NODE_MAX_COUNT:-100} @@ -356,7 +363,7 @@ x-shared-env: &shared-api-worker-env MAX_PARALLEL_LIMIT: ${MAX_PARALLEL_LIMIT:-10} MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-99} TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} - PGUSER: ${PGUSER:-${DB_USERNAME}} + POSTGRES_USER: ${POSTGRES_USER:-${DB_USERNAME}} POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-${DB_PASSWORD}} POSTGRES_DB: ${POSTGRES_DB:-${DB_DATABASE}} PGDATA: ${PGDATA:-/var/lib/postgresql/data/pgdata} @@ -467,7 +474,7 @@ x-shared-env: &shared-api-worker-env PLUGIN_PACKAGE_CACHE_PATH: ${PLUGIN_PACKAGE_CACHE_PATH:-plugin_packages} PLUGIN_MEDIA_CACHE_PATH: ${PLUGIN_MEDIA_CACHE_PATH:-assets} PLUGIN_STORAGE_OSS_BUCKET: ${PLUGIN_STORAGE_OSS_BUCKET:-} - PLUGIN_S3_USE_AWS: ${PLUGIN_S3_USE_AWS:-} + PLUGIN_S3_USE_AWS: ${PLUGIN_S3_USE_AWS:-false} PLUGIN_S3_USE_AWS_MANAGED_IAM: ${PLUGIN_S3_USE_AWS_MANAGED_IAM:-false} PLUGIN_S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} PLUGIN_S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} @@ -509,7 +516,7 @@ x-shared-env: &shared-api-worker-env services: # API service api: - image: langgenius/dify-api:1.4.2 + image: langgenius/dify-api:1.4.3 restart: always environment: # Use the shared environment variables. @@ -538,7 +545,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:1.4.2 + image: langgenius/dify-api:1.4.3 restart: always environment: # Use the shared environment variables. @@ -564,7 +571,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:1.4.2 + image: langgenius/dify-web:1.4.3 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -591,7 +598,7 @@ services: image: postgres:15-alpine restart: always environment: - PGUSER: ${PGUSER:-postgres} + POSTGRES_USER: ${POSTGRES_USER:-postgres} POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-difyai123456} POSTGRES_DB: ${POSTGRES_DB:-dify} PGDATA: ${PGDATA:-/var/lib/postgresql/data/pgdata} @@ -958,6 +965,14 @@ services: OB_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai} OB_SERVER_IP: 127.0.0.1 MODE: mini + ports: + - "${OCEANBASE_VECTOR_PORT:-2881}:2881" + healthcheck: + test: [ 'CMD-SHELL', 'obclient -h127.0.0.1 -P2881 -uroot@test -p$${OB_TENANT_PASSWORD} -e "SELECT 1;"' ] + interval: 10s + retries: 30 + start_period: 30s + timeout: 10s # Oracle vector database oracle: @@ -1116,6 +1131,18 @@ services: ports: - ${MYSCALE_PORT:-8123}:${MYSCALE_PORT:-8123} + # Matrixone vector store. + matrixone: + hostname: matrixone + image: matrixorigin/matrixone:2.1.1 + profiles: + - matrixone + restart: always + volumes: + - ./volumes/matrixone/data:/mo-data + ports: + - ${MATRIXONE_PORT:-6001}:${MATRIXONE_PORT:-6001} + # https://www.elastic.co/guide/en/elasticsearch/reference/current/settings.html # https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html#docker-prod-prerequisites elasticsearch: diff --git a/docker/middleware.env.example b/docker/middleware.env.example index 338b057ae8..2eba62f594 100644 --- a/docker/middleware.env.example +++ b/docker/middleware.env.example @@ -1,7 +1,7 @@ # ------------------------------ # Environment Variables for db Service # ------------------------------ -PGUSER=postgres +POSTGRES_USER=postgres # The password for the default postgres user. POSTGRES_PASSWORD=difyai123456 # The name of the default postgres database. @@ -133,7 +133,7 @@ PLUGIN_MEDIA_CACHE_PATH=assets PLUGIN_STORAGE_OSS_BUCKET= # Plugin oss s3 credentials PLUGIN_S3_USE_AWS_MANAGED_IAM=false -PLUGIN_S3_USE_AWS= +PLUGIN_S3_USE_AWS=false PLUGIN_S3_ENDPOINT= PLUGIN_S3_USE_PATH_STYLE=false PLUGIN_AWS_ACCESS_KEY= diff --git a/web/.env.example b/web/.env.example index 78b4f33e8c..c30064ffed 100644 --- a/web/.env.example +++ b/web/.env.example @@ -56,3 +56,5 @@ NEXT_PUBLIC_ENABLE_WEBSITE_JINAREADER=true NEXT_PUBLIC_ENABLE_WEBSITE_FIRECRAWL=true NEXT_PUBLIC_ENABLE_WEBSITE_WATERCRAWL=true +# The maximum number of tree node depth for workflow +NEXT_PUBLIC_MAX_TREE_DEPTH=50 diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx index fc97f5e669..e0c09e739e 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx @@ -15,7 +15,7 @@ const Overview = async (props: IDevelopProps) => { } = params return ( -
+
{ const [tagFilterValue, setTagFilterValue] = useState(tagIDs) const [searchKeywords, setSearchKeywords] = useState(keywords) const newAppCardRef = useRef(null) + const containerRef = useRef(null) + const [showCreateFromDSLModal, setShowCreateFromDSLModal] = useState(false) + const [droppedDSLFile, setDroppedDSLFile] = useState() const setKeywords = useCallback((keywords: string) => { setQuery(prev => ({ ...prev, keywords })) }, [setQuery]) @@ -74,6 +80,17 @@ const Apps = () => { setQuery(prev => ({ ...prev, tagIDs })) }, [setQuery]) + const handleDSLFileDropped = useCallback((file: File) => { + setDroppedDSLFile(file) + setShowCreateFromDSLModal(true) + }, []) + + const { dragging } = useDSLDragDrop({ + onDSLFileDropped: handleDSLFileDropped, + containerRef, + enabled: isCurrentWorkspaceEditor, + }) + const { data, isLoading, error, setSize, mutate } = useSWRInfinite( (pageIndex: number, previousPageData: AppListResponse) => getKey(pageIndex, previousPageData, activeTab, isCreatedByMe, tagIDs, searchKeywords), fetchAppList, @@ -151,47 +168,81 @@ const Apps = () => { return ( <> -
- -
- - - handleKeywordsChange(e.target.value)} - onClear={() => handleKeywordsChange('')} +
+ {dragging && ( +
+
+ )} + +
+ +
+ + + handleKeywordsChange(e.target.value)} + onClear={() => handleKeywordsChange('')} + /> +
+ {(data && data[0].total > 0) + ?
+ {isCurrentWorkspaceEditor + && } + {data.map(({ data: apps }) => apps.map(app => ( + + )))} +
+ :
+ {isCurrentWorkspaceEditor + && } + +
} + + {isCurrentWorkspaceEditor && ( +
+ + {t('app.newApp.dropDSLToCreateApp')} +
+ )} + +
+ {showTagManagementModal && ( + + )}
- {(data && data[0].total > 0) - ?
- {isCurrentWorkspaceEditor - && } - {data.map(({ data: apps }) => apps.map(app => ( - - )))} -
- :
- {isCurrentWorkspaceEditor - && } - -
} - -
- {showTagManagementModal && ( - + + {showCreateFromDSLModal && ( + { + setShowCreateFromDSLModal(false) + setDroppedDSLFile(undefined) + }} + onSuccess={() => { + setShowCreateFromDSLModal(false) + setDroppedDSLFile(undefined) + mutate() + }} + droppedFile={droppedDSLFile} + /> )} ) diff --git a/web/app/(commonLayout)/apps/hooks/useAppsQueryState.ts b/web/app/(commonLayout)/apps/hooks/use-apps-query-state.ts similarity index 100% rename from web/app/(commonLayout)/apps/hooks/useAppsQueryState.ts rename to web/app/(commonLayout)/apps/hooks/use-apps-query-state.ts diff --git a/web/app/(commonLayout)/apps/hooks/use-dsl-drag-drop.ts b/web/app/(commonLayout)/apps/hooks/use-dsl-drag-drop.ts new file mode 100644 index 0000000000..96942ec54e --- /dev/null +++ b/web/app/(commonLayout)/apps/hooks/use-dsl-drag-drop.ts @@ -0,0 +1,72 @@ +import { useEffect, useState } from 'react' + +type DSLDragDropHookProps = { + onDSLFileDropped: (file: File) => void + containerRef: React.RefObject + enabled?: boolean +} + +export const useDSLDragDrop = ({ onDSLFileDropped, containerRef, enabled = true }: DSLDragDropHookProps) => { + const [dragging, setDragging] = useState(false) + + const handleDragEnter = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + if (e.dataTransfer?.types.includes('Files')) + setDragging(true) + } + + const handleDragOver = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + } + + const handleDragLeave = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + if (e.relatedTarget === null || !containerRef.current?.contains(e.relatedTarget as Node)) + setDragging(false) + } + + const handleDrop = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + setDragging(false) + + if (!e.dataTransfer) + return + + const files = [...e.dataTransfer.files] + if (files.length === 0) + return + + const file = files[0] + if (file.name.toLowerCase().endsWith('.yaml') || file.name.toLowerCase().endsWith('.yml')) + onDSLFileDropped(file) + } + + useEffect(() => { + if (!enabled) + return + + const current = containerRef.current + if (current) { + current.addEventListener('dragenter', handleDragEnter) + current.addEventListener('dragover', handleDragOver) + current.addEventListener('dragleave', handleDragLeave) + current.addEventListener('drop', handleDrop) + } + return () => { + if (current) { + current.removeEventListener('dragenter', handleDragEnter) + current.removeEventListener('dragover', handleDragOver) + current.removeEventListener('dragleave', handleDragLeave) + current.removeEventListener('drop', handleDrop) + } + } + }, [containerRef, enabled]) + + return { + dragging: enabled ? dragging : false, + } +} diff --git a/web/app/(commonLayout)/datasets/Datasets.tsx b/web/app/(commonLayout)/datasets/Datasets.tsx index 28461e8617..2d4848e92e 100644 --- a/web/app/(commonLayout)/datasets/Datasets.tsx +++ b/web/app/(commonLayout)/datasets/Datasets.tsx @@ -81,7 +81,7 @@ const Datasets = ({ currentContainer?.removeEventListener('scroll', onScroll) onScroll.cancel() } - }, [onScroll]) + }, [containerRef, onScroll]) return (