diff --git a/.env.example b/.env.example new file mode 100644 index 0000000000..3e95f2e982 --- /dev/null +++ b/.env.example @@ -0,0 +1,1197 @@ +# ------------------------------ +# Environment Variables for API service & worker +# ------------------------------ + +# ------------------------------ +# Common Variables +# ------------------------------ + +# The backend URL of the console API, +# used to concatenate the authorization callback. +# If empty, it is the same domain. +# Example: https://api.console.dify.ai +CONSOLE_API_URL= + +# The front-end URL of the console web, +# used to concatenate some front-end addresses and for CORS configuration use. +# If empty, it is the same domain. +# Example: https://console.dify.ai +CONSOLE_WEB_URL= + +# Service API Url, +# used to display Service API Base Url to the front-end. +# If empty, it is the same domain. +# Example: https://api.dify.ai +SERVICE_API_URL= + +# WebApp API backend Url, +# used to declare the back-end URL for the front-end API. +# If empty, it is the same domain. +# Example: https://api.app.dify.ai +APP_API_URL= + +# WebApp Url, +# used to display WebAPP API Base Url to the front-end. +# If empty, it is the same domain. +# Example: https://app.dify.ai +APP_WEB_URL= + +# File preview or download Url prefix. +# used to display File preview or download Url to the front-end or as Multi-model inputs; +# Url is signed and has expiration time. +# Setting FILES_URL is required for file processing plugins. +# - For https://example.com, use FILES_URL=https://example.com +# - For http://example.com, use FILES_URL=http://example.com +# Recommendation: use a dedicated domain (e.g., https://upload.example.com). +# Alternatively, use http://:5001 or http://api:5001, +# ensuring port 5001 is externally accessible (see docker-compose.yaml). +FILES_URL= + +# INTERNAL_FILES_URL is used for plugin daemon communication within Docker network. +# Set this to the internal Docker service URL for proper plugin file access. +# Example: INTERNAL_FILES_URL=http://api:5001 +INTERNAL_FILES_URL= + +# ------------------------------ +# Server Configuration +# ------------------------------ + +# The log level for the application. +# Supported values are `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL` +LOG_LEVEL=INFO +# Log file path +LOG_FILE=/app/logs/server.log +# 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 + +# Debug mode, default is false. +# It is recommended to turn on this configuration for local development +# to prevent some problems caused by monkey patch. +DEBUG=false + +# Flask debug mode, it can output trace information at the interface when turned on, +# which is convenient for debugging. +FLASK_DEBUG=false + +# Enable request logging, which will log the request and response information. +# And the log level is DEBUG +ENABLE_REQUEST_LOGGING=False + +# A secret key that is used for securely signing the session cookie +# and encrypting sensitive information on the database. +# You can generate a strong key using `openssl rand -base64 42`. +SECRET_KEY=sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U + +# Password for admin user initialization. +# If left unset, admin user will not be prompted for a password +# when creating the initial admin account. +# The length of the password cannot exceed 30 characters. +INIT_PASSWORD= + +# Deployment environment. +# Supported values are `PRODUCTION`, `TESTING`. Default is `PRODUCTION`. +# Testing environment. There will be a distinct color label on the front-end page, +# indicating that this environment is a testing environment. +DEPLOY_ENV=PRODUCTION + +# Whether to enable the version check policy. +# If set to empty, https://updates.dify.ai will be called for version check. +CHECK_UPDATE_URL=https://updates.dify.ai + +# Used to change the OpenAI base address, default is https://api.openai.com/v1. +# When OpenAI cannot be accessed in China, replace it with a domestic mirror address, +# or when a local model provides OpenAI compatible API, it can be replaced. +OPENAI_API_BASE=https://api.openai.com/v1 + +# When enabled, migrations will be executed prior to application startup +# and the application will start after the migrations have completed. +MIGRATION_ENABLED=true + +# File Access Time specifies a time interval in seconds for the file to be accessed. +# The default value is 300 seconds. +FILES_ACCESS_TIMEOUT=300 + +# Access token expiration time in minutes +ACCESS_TOKEN_EXPIRE_MINUTES=60 + +# Refresh token expiration time in days +REFRESH_TOKEN_EXPIRE_DAYS=30 + +# The maximum number of active requests for the application, where 0 means unlimited, should be a non-negative integer. +APP_MAX_ACTIVE_REQUESTS=0 +APP_MAX_EXECUTION_TIME=1200 + +# ------------------------------ +# Container Startup Related Configuration +# Only effective when starting with docker image or docker-compose. +# ------------------------------ + +# API service binding address, default: 0.0.0.0, i.e., all addresses can be accessed. +DIFY_BIND_ADDRESS=0.0.0.0 + +# API service binding port number, default 5001. +DIFY_PORT=5001 + +# The number of API server workers, i.e., the number of workers. +# Formula: number of cpu cores x 2 + 1 for sync, 1 for Gevent +# Reference: https://docs.gunicorn.org/en/stable/design.html#how-many-workers +SERVER_WORKER_AMOUNT=1 + +# Defaults to gevent. If using windows, it can be switched to sync or solo. +SERVER_WORKER_CLASS=gevent + +# Default number of worker connections, the default is 10. +SERVER_WORKER_CONNECTIONS=10 + +# Similar to SERVER_WORKER_CLASS. +# If using windows, it can be switched to sync or solo. +CELERY_WORKER_CLASS= + +# Request handling timeout. The default is 200, +# it is recommended to set it to 360 to support a longer sse connection time. +GUNICORN_TIMEOUT=360 + +# The number of Celery workers. The default is 1, and can be set as needed. +CELERY_WORKER_AMOUNT= + +# Flag indicating whether to enable autoscaling of Celery workers. +# +# Autoscaling is useful when tasks are CPU intensive and can be dynamically +# allocated and deallocated based on the workload. +# +# When autoscaling is enabled, the maximum and minimum number of workers can +# be specified. The autoscaling algorithm will dynamically adjust the number +# of workers within the specified range. +# +# Default is false (i.e., autoscaling is disabled). +# +# Example: +# CELERY_AUTO_SCALE=true +CELERY_AUTO_SCALE=false + +# The maximum number of Celery workers that can be autoscaled. +# This is optional and only used when autoscaling is enabled. +# Default is not set. +CELERY_MAX_WORKERS= + +# The minimum number of Celery workers that can be autoscaled. +# This is optional and only used when autoscaling is enabled. +# Default is not set. +CELERY_MIN_WORKERS= + +# API Tool configuration +API_TOOL_DEFAULT_CONNECT_TIMEOUT=10 +API_TOOL_DEFAULT_READ_TIMEOUT=60 + +# ------------------------------- +# Datasource Configuration +# -------------------------------- +ENABLE_WEBSITE_JINAREADER=true +ENABLE_WEBSITE_FIRECRAWL=true +ENABLE_WEBSITE_WATERCRAWL=true + +# ------------------------------ +# Database Configuration +# The database uses PostgreSQL. Please use the public schema. +# It is consistent with the configuration in the 'db' service below. +# ------------------------------ + +DB_USERNAME=postgres +DB_PASSWORD=difyai123456 +DB_HOST=db +DB_PORT=5432 +DB_DATABASE=dify +# The size of the database connection pool. +# The default is 30 connections, which can be appropriately increased. +SQLALCHEMY_POOL_SIZE=30 +# Database connection pool recycling time, the default is 3600 seconds. +SQLALCHEMY_POOL_RECYCLE=3600 +# Whether to print SQL, default is false. +SQLALCHEMY_ECHO=false +# If True, will test connections for liveness upon each checkout +SQLALCHEMY_POOL_PRE_PING=false +# Whether to enable the Last in first out option or use default FIFO queue if is false +SQLALCHEMY_POOL_USE_LIFO=false + +# Maximum number of connections to the database +# Default is 100 +# +# Reference: https://www.postgresql.org/docs/current/runtime-config-connection.html#GUC-MAX-CONNECTIONS +POSTGRES_MAX_CONNECTIONS=100 + +# Sets the amount of shared memory used for postgres's shared buffers. +# Default is 128MB +# Recommended value: 25% of available memory +# Reference: https://www.postgresql.org/docs/current/runtime-config-resource.html#GUC-SHARED-BUFFERS +POSTGRES_SHARED_BUFFERS=128MB + +# Sets the amount of memory used by each database worker for working space. +# Default is 4MB +# +# Reference: https://www.postgresql.org/docs/current/runtime-config-resource.html#GUC-WORK-MEM +POSTGRES_WORK_MEM=4MB + +# Sets the amount of memory reserved for maintenance activities. +# Default is 64MB +# +# Reference: https://www.postgresql.org/docs/current/runtime-config-resource.html#GUC-MAINTENANCE-WORK-MEM +POSTGRES_MAINTENANCE_WORK_MEM=64MB + +# Sets the planner's assumption about the effective cache size. +# Default is 4096MB +# +# Reference: https://www.postgresql.org/docs/current/runtime-config-query.html#GUC-EFFECTIVE-CACHE-SIZE +POSTGRES_EFFECTIVE_CACHE_SIZE=4096MB + +# ------------------------------ +# Redis Configuration +# This Redis configuration is used for caching and for pub/sub during conversation. +# ------------------------------ + +REDIS_HOST=redis +REDIS_PORT=6379 +REDIS_USERNAME= +REDIS_PASSWORD=difyai123456 +REDIS_USE_SSL=false +REDIS_DB=0 + +# Whether to use Redis Sentinel mode. +# If set to true, the application will automatically discover and connect to the master node through Sentinel. +REDIS_USE_SENTINEL=false + +# List of Redis Sentinel nodes. If Sentinel mode is enabled, provide at least one Sentinel IP and port. +# Format: `:,:,:` +REDIS_SENTINELS= +REDIS_SENTINEL_SERVICE_NAME= +REDIS_SENTINEL_USERNAME= +REDIS_SENTINEL_PASSWORD= +REDIS_SENTINEL_SOCKET_TIMEOUT=0.1 + +# List of Redis Cluster nodes. If Cluster mode is enabled, provide at least one Cluster IP and port. +# Format: `:,:,:` +REDIS_USE_CLUSTERS=false +REDIS_CLUSTERS= +REDIS_CLUSTERS_PASSWORD= + +# ------------------------------ +# Celery Configuration +# ------------------------------ + +# Use redis as the broker, and redis db 1 for celery broker. +# Format as follows: `redis://:@:/` +# Example: redis://:difyai123456@redis:6379/1 +# If use Redis Sentinel, format as follows: `sentinel://:@:/` +# Example: sentinel://localhost:26379/1;sentinel://localhost:26380/1;sentinel://localhost:26381/1 +CELERY_BROKER_URL=redis://:difyai123456@redis:6379/1 +BROKER_USE_SSL=false + +# If you are using Redis Sentinel for high availability, configure the following settings. +CELERY_USE_SENTINEL=false +CELERY_SENTINEL_MASTER_NAME= +CELERY_SENTINEL_PASSWORD= +CELERY_SENTINEL_SOCKET_TIMEOUT=0.1 + +# ------------------------------ +# CORS Configuration +# Used to set the front-end cross-domain access policy. +# ------------------------------ + +# Specifies the allowed origins for cross-origin requests to the Web API, +# e.g. https://dify.app or * for all origins. +WEB_API_CORS_ALLOW_ORIGINS=* + +# Specifies the allowed origins for cross-origin requests to the console API, +# e.g. https://cloud.dify.ai or * for all origins. +CONSOLE_CORS_ALLOW_ORIGINS=* + +# ------------------------------ +# File Storage Configuration +# ------------------------------ + +# The type of storage to use for storing user files. +STORAGE_TYPE=opendal + +# Apache OpenDAL Configuration +# The configuration for OpenDAL consists of the following format: OPENDAL__. +# You can find all the service configurations (CONFIG_NAME) in the repository at: https://github.com/apache/opendal/tree/main/core/src/services. +# Dify will scan configurations starting with OPENDAL_ and automatically apply them. +# The scheme name for the OpenDAL storage. +OPENDAL_SCHEME=fs +# Configurations for OpenDAL Local File System. +OPENDAL_FS_ROOT=storage + +# ClickZetta Volume Configuration (for storage backend) +# To use ClickZetta Volume as storage backend, set STORAGE_TYPE=clickzetta-volume +# Note: ClickZetta Volume will reuse the existing CLICKZETTA_* connection parameters + +# Volume type selection (three types available): +# - user: Personal/small team use, simple config, user-level permissions +# - table: Enterprise multi-tenant, smart routing, table-level + user-level permissions +# - external: Data lake integration, external storage connection, volume-level + storage-level permissions +CLICKZETTA_VOLUME_TYPE=user + +# External Volume name (required only when TYPE=external) +CLICKZETTA_VOLUME_NAME= + +# Table Volume table prefix (used only when TYPE=table) +CLICKZETTA_VOLUME_TABLE_PREFIX=dataset_ + +# Dify file directory prefix (isolates from other apps, recommended to keep default) +CLICKZETTA_VOLUME_DIFY_PREFIX=dify_km + +# S3 Configuration +# +S3_ENDPOINT= +S3_REGION=us-east-1 +S3_BUCKET_NAME=difyai +S3_ACCESS_KEY= +S3_SECRET_KEY= +# Whether to use AWS managed IAM roles for authenticating with the S3 service. +# If set to false, the access key and secret key must be provided. +S3_USE_AWS_MANAGED_IAM=false + +# Azure Blob Configuration +# +AZURE_BLOB_ACCOUNT_NAME=difyai +AZURE_BLOB_ACCOUNT_KEY=difyai +AZURE_BLOB_CONTAINER_NAME=difyai-container +AZURE_BLOB_ACCOUNT_URL=https://.blob.core.windows.net + +# Google Storage Configuration +# +GOOGLE_STORAGE_BUCKET_NAME=your-bucket-name +GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64= + +# The Alibaba Cloud OSS configurations, +# +ALIYUN_OSS_BUCKET_NAME=your-bucket-name +ALIYUN_OSS_ACCESS_KEY=your-access-key +ALIYUN_OSS_SECRET_KEY=your-secret-key +ALIYUN_OSS_ENDPOINT=https://oss-ap-southeast-1-internal.aliyuncs.com +ALIYUN_OSS_REGION=ap-southeast-1 +ALIYUN_OSS_AUTH_VERSION=v4 +# Don't start with '/'. OSS doesn't support leading slash in object names. +ALIYUN_OSS_PATH=your-path + +# Tencent COS Configuration +# +TENCENT_COS_BUCKET_NAME=your-bucket-name +TENCENT_COS_SECRET_KEY=your-secret-key +TENCENT_COS_SECRET_ID=your-secret-id +TENCENT_COS_REGION=your-region +TENCENT_COS_SCHEME=your-scheme + +# Oracle Storage Configuration +# +OCI_ENDPOINT=https://your-object-storage-namespace.compat.objectstorage.us-ashburn-1.oraclecloud.com +OCI_BUCKET_NAME=your-bucket-name +OCI_ACCESS_KEY=your-access-key +OCI_SECRET_KEY=your-secret-key +OCI_REGION=us-ashburn-1 + +# Huawei OBS Configuration +# +HUAWEI_OBS_BUCKET_NAME=your-bucket-name +HUAWEI_OBS_SECRET_KEY=your-secret-key +HUAWEI_OBS_ACCESS_KEY=your-access-key +HUAWEI_OBS_SERVER=your-server-url + +# Volcengine TOS Configuration +# +VOLCENGINE_TOS_BUCKET_NAME=your-bucket-name +VOLCENGINE_TOS_SECRET_KEY=your-secret-key +VOLCENGINE_TOS_ACCESS_KEY=your-access-key +VOLCENGINE_TOS_ENDPOINT=your-server-url +VOLCENGINE_TOS_REGION=your-region + +# Baidu OBS Storage Configuration +# +BAIDU_OBS_BUCKET_NAME=your-bucket-name +BAIDU_OBS_SECRET_KEY=your-secret-key +BAIDU_OBS_ACCESS_KEY=your-access-key +BAIDU_OBS_ENDPOINT=your-server-url + +# Supabase Storage Configuration +# +SUPABASE_BUCKET_NAME=your-bucket-name +SUPABASE_API_KEY=your-access-key +SUPABASE_URL=your-server-url + +# ------------------------------ +# Vector Database Configuration +# ------------------------------ + +# 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`, `matrixone`. +VECTOR_STORE=weaviate + +# The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`. +WEAVIATE_ENDPOINT=http://weaviate:8080 +WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih + +# The Qdrant endpoint URL. Only available when VECTOR_STORE is `qdrant`. +QDRANT_URL=http://qdrant:6333 +QDRANT_API_KEY=difyai123456 +QDRANT_CLIENT_TIMEOUT=20 +QDRANT_GRPC_ENABLED=false +QDRANT_GRPC_PORT=6334 +QDRANT_REPLICATION_FACTOR=1 + +# Milvus configuration. Only available when VECTOR_STORE is `milvus`. +# The milvus uri. +MILVUS_URI=http://host.docker.internal:19530 +MILVUS_DATABASE= +MILVUS_TOKEN= +MILVUS_USER= +MILVUS_PASSWORD= +MILVUS_ENABLE_HYBRID_SEARCH=False +MILVUS_ANALYZER_PARAMS= + +# MyScale configuration, only available when VECTOR_STORE is `myscale` +# For multi-language support, please set MYSCALE_FTS_PARAMS with referring to: +# https://myscale.com/docs/en/text-search/#understanding-fts-index-parameters +MYSCALE_HOST=myscale +MYSCALE_PORT=8123 +MYSCALE_USER=default +MYSCALE_PASSWORD= +MYSCALE_DATABASE=dify +MYSCALE_FTS_PARAMS= + +# Couchbase configurations, only available when VECTOR_STORE is `couchbase` +# The connection string must include hostname defined in the docker-compose file (couchbase-server in this case) +COUCHBASE_CONNECTION_STRING=couchbase://couchbase-server +COUCHBASE_USER=Administrator +COUCHBASE_PASSWORD=password +COUCHBASE_BUCKET_NAME=Embeddings +COUCHBASE_SCOPE_NAME=_default + +# pgvector configurations, only available when VECTOR_STORE is `pgvector` +PGVECTOR_HOST=pgvector +PGVECTOR_PORT=5432 +PGVECTOR_USER=postgres +PGVECTOR_PASSWORD=difyai123456 +PGVECTOR_DATABASE=dify +PGVECTOR_MIN_CONNECTION=1 +PGVECTOR_MAX_CONNECTION=5 +PGVECTOR_PG_BIGM=false +PGVECTOR_PG_BIGM_VERSION=1.2-20240606 + +# vastbase configurations, only available when VECTOR_STORE is `vastbase` +VASTBASE_HOST=vastbase +VASTBASE_PORT=5432 +VASTBASE_USER=dify +VASTBASE_PASSWORD=Difyai123456 +VASTBASE_DATABASE=dify +VASTBASE_MIN_CONNECTION=1 +VASTBASE_MAX_CONNECTION=5 + +# pgvecto-rs configurations, only available when VECTOR_STORE is `pgvecto-rs` +PGVECTO_RS_HOST=pgvecto-rs +PGVECTO_RS_PORT=5432 +PGVECTO_RS_USER=postgres +PGVECTO_RS_PASSWORD=difyai123456 +PGVECTO_RS_DATABASE=dify + +# analyticdb configurations, only available when VECTOR_STORE is `analyticdb` +ANALYTICDB_KEY_ID=your-ak +ANALYTICDB_KEY_SECRET=your-sk +ANALYTICDB_REGION_ID=cn-hangzhou +ANALYTICDB_INSTANCE_ID=gp-ab123456 +ANALYTICDB_ACCOUNT=testaccount +ANALYTICDB_PASSWORD=testpassword +ANALYTICDB_NAMESPACE=dify +ANALYTICDB_NAMESPACE_PASSWORD=difypassword +ANALYTICDB_HOST=gp-test.aliyuncs.com +ANALYTICDB_PORT=5432 +ANALYTICDB_MIN_CONNECTION=1 +ANALYTICDB_MAX_CONNECTION=5 + +# TiDB vector configurations, only available when VECTOR_STORE is `tidb_vector` +TIDB_VECTOR_HOST=tidb +TIDB_VECTOR_PORT=4000 +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 +TIDB_ON_QDRANT_CLIENT_TIMEOUT=20 +TIDB_ON_QDRANT_GRPC_ENABLED=false +TIDB_ON_QDRANT_GRPC_PORT=6334 +TIDB_PUBLIC_KEY=dify +TIDB_PRIVATE_KEY=dify +TIDB_API_URL=http://127.0.0.1 +TIDB_IAM_API_URL=http://127.0.0.1 +TIDB_REGION=regions/aws-us-east-1 +TIDB_PROJECT_ID=dify +TIDB_SPEND_LIMIT=100 + +# Chroma configuration, only available when VECTOR_STORE is `chroma` +CHROMA_HOST=127.0.0.1 +CHROMA_PORT=8000 +CHROMA_TENANT=default_tenant +CHROMA_DATABASE=default_database +CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthClientProvider +CHROMA_AUTH_CREDENTIALS= + +# Oracle configuration, only available when VECTOR_STORE is `oracle` +ORACLE_USER=dify +ORACLE_PASSWORD=dify +ORACLE_DSN=oracle:1521/FREEPDB1 +ORACLE_CONFIG_DIR=/app/api/storage/wallet +ORACLE_WALLET_LOCATION=/app/api/storage/wallet +ORACLE_WALLET_PASSWORD=dify +ORACLE_IS_AUTONOMOUS=false + +# relyt configurations, only available when VECTOR_STORE is `relyt` +RELYT_HOST=db +RELYT_PORT=5432 +RELYT_USER=postgres +RELYT_PASSWORD=difyai123456 +RELYT_DATABASE=postgres + +# open search configuration, only available when VECTOR_STORE is `opensearch` +OPENSEARCH_HOST=opensearch +OPENSEARCH_PORT=9200 +OPENSEARCH_SECURE=true +OPENSEARCH_VERIFY_CERTS=true +OPENSEARCH_AUTH_METHOD=basic +OPENSEARCH_USER=admin +OPENSEARCH_PASSWORD=admin +# If using AWS managed IAM, e.g. Managed Cluster or OpenSearch Serverless +OPENSEARCH_AWS_REGION=ap-southeast-1 +OPENSEARCH_AWS_SERVICE=aoss + +# tencent vector configurations, only available when VECTOR_STORE is `tencent` +TENCENT_VECTOR_DB_URL=http://127.0.0.1 +TENCENT_VECTOR_DB_API_KEY=dify +TENCENT_VECTOR_DB_TIMEOUT=30 +TENCENT_VECTOR_DB_USERNAME=dify +TENCENT_VECTOR_DB_DATABASE=dify +TENCENT_VECTOR_DB_SHARD=1 +TENCENT_VECTOR_DB_REPLICAS=2 +TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH=false + +# ElasticSearch configuration, only available when VECTOR_STORE is `elasticsearch` +ELASTICSEARCH_HOST=0.0.0.0 +ELASTICSEARCH_PORT=9200 +ELASTICSEARCH_USERNAME=elastic +ELASTICSEARCH_PASSWORD=elastic +KIBANA_PORT=5601 + +# baidu vector configurations, only available when VECTOR_STORE is `baidu` +BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287 +BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS=30000 +BAIDU_VECTOR_DB_ACCOUNT=root +BAIDU_VECTOR_DB_API_KEY=dify +BAIDU_VECTOR_DB_DATABASE=dify +BAIDU_VECTOR_DB_SHARD=1 +BAIDU_VECTOR_DB_REPLICAS=3 + +# VikingDB configurations, only available when VECTOR_STORE is `vikingdb` +VIKINGDB_ACCESS_KEY=your-ak +VIKINGDB_SECRET_KEY=your-sk +VIKINGDB_REGION=cn-shanghai +VIKINGDB_HOST=api-vikingdb.xxx.volces.com +VIKINGDB_SCHEMA=http +VIKINGDB_CONNECTION_TIMEOUT=30 +VIKINGDB_SOCKET_TIMEOUT=30 + +# Lindorm configuration, only available when VECTOR_STORE is `lindorm` +LINDORM_URL=http://lindorm:30070 +LINDORM_USERNAME=lindorm +LINDORM_PASSWORD=lindorm +LINDORM_QUERY_TIMEOUT=1 + +# OceanBase Vector configuration, only available when VECTOR_STORE is `oceanbase` +OCEANBASE_VECTOR_HOST=oceanbase +OCEANBASE_VECTOR_PORT=2881 +OCEANBASE_VECTOR_USER=root@test +OCEANBASE_VECTOR_PASSWORD=difyai123456 +OCEANBASE_VECTOR_DATABASE=test +OCEANBASE_CLUSTER_NAME=difyai +OCEANBASE_MEMORY_LIMIT=6G +OCEANBASE_ENABLE_HYBRID_SEARCH=false + +# opengauss configurations, only available when VECTOR_STORE is `opengauss` +OPENGAUSS_HOST=opengauss +OPENGAUSS_PORT=6600 +OPENGAUSS_USER=postgres +OPENGAUSS_PASSWORD=Dify@123 +OPENGAUSS_DATABASE=dify +OPENGAUSS_MIN_CONNECTION=1 +OPENGAUSS_MAX_CONNECTION=5 +OPENGAUSS_ENABLE_PQ=false + +# huawei cloud search service vector configurations, only available when VECTOR_STORE is `huawei_cloud` +HUAWEI_CLOUD_HOSTS=https://127.0.0.1:9200 +HUAWEI_CLOUD_USER=admin +HUAWEI_CLOUD_PASSWORD=admin + +# Upstash Vector configuration, only available when VECTOR_STORE is `upstash` +UPSTASH_VECTOR_URL=https://xxx-vector.upstash.io +UPSTASH_VECTOR_TOKEN=dify + +# TableStore Vector configuration +# (only used when VECTOR_STORE is tablestore) +TABLESTORE_ENDPOINT=https://instance-name.cn-hangzhou.ots.aliyuncs.com +TABLESTORE_INSTANCE_NAME=instance-name +TABLESTORE_ACCESS_KEY_ID=xxx +TABLESTORE_ACCESS_KEY_SECRET=xxx + +# Clickzetta configuration, only available when VECTOR_STORE is `clickzetta` +CLICKZETTA_USERNAME= +CLICKZETTA_PASSWORD= +CLICKZETTA_INSTANCE= +CLICKZETTA_SERVICE=api.clickzetta.com +CLICKZETTA_WORKSPACE=quick_start +CLICKZETTA_VCLUSTER=default_ap +CLICKZETTA_SCHEMA=dify +CLICKZETTA_BATCH_SIZE=100 +CLICKZETTA_ENABLE_INVERTED_INDEX=true +CLICKZETTA_ANALYZER_TYPE=chinese +CLICKZETTA_ANALYZER_MODE=smart +CLICKZETTA_VECTOR_DISTANCE_FUNCTION=cosine_distance + +# ------------------------------ +# Knowledge Configuration +# ------------------------------ + +# Upload file size limit, default 15M. +UPLOAD_FILE_SIZE_LIMIT=15 + +# The maximum number of files that can be uploaded at a time, default 5. +UPLOAD_FILE_BATCH_LIMIT=5 + +# ETL type, support: `dify`, `Unstructured` +# `dify` Dify's proprietary file extraction scheme +# `Unstructured` Unstructured.io file extraction scheme +ETL_TYPE=dify + +# Unstructured API path and API key, needs to be configured when ETL_TYPE is Unstructured +# Or using Unstructured for document extractor node for pptx. +# For example: http://unstructured:8000/general/v0/general +UNSTRUCTURED_API_URL= +UNSTRUCTURED_API_KEY= +SCARF_NO_ANALYTICS=true + +# ------------------------------ +# Model Configuration +# ------------------------------ + +# The maximum number of tokens allowed for prompt generation. +# This setting controls the upper limit of tokens that can be used by the LLM +# when generating a prompt in the prompt generation tool. +# Default: 512 tokens. +PROMPT_GENERATION_MAX_TOKENS=512 + +# The maximum number of tokens allowed for code generation. +# This setting controls the upper limit of tokens that can be used by the LLM +# when generating code in the code generation tool. +# Default: 1024 tokens. +CODE_GENERATION_MAX_TOKENS=1024 + +# Enable or disable plugin based token counting. If disabled, token counting will return 0. +# This can improve performance by skipping token counting operations. +# Default: false (disabled). +PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false + +# ------------------------------ +# Multi-modal Configuration +# ------------------------------ + +# The format of the image/video/audio/document sent when the multi-modal model is input, +# the default is base64, optional url. +# The delay of the call in url mode will be lower than that in base64 mode. +# It is generally recommended to use the more compatible base64 mode. +# If configured as url, you need to configure FILES_URL as an externally accessible address so that the multi-modal model can access the image/video/audio/document. +MULTIMODAL_SEND_FORMAT=base64 +# Upload image file size limit, default 10M. +UPLOAD_IMAGE_FILE_SIZE_LIMIT=10 +# Upload video file size limit, default 100M. +UPLOAD_VIDEO_FILE_SIZE_LIMIT=100 +# Upload audio file size limit, default 50M. +UPLOAD_AUDIO_FILE_SIZE_LIMIT=50 + +# ------------------------------ +# Sentry Configuration +# Used for application monitoring and error log tracking. +# ------------------------------ +SENTRY_DSN= + +# API Service Sentry DSN address, default is empty, when empty, +# all monitoring information is not reported to Sentry. +# If not set, Sentry error reporting will be disabled. +API_SENTRY_DSN= +# API Service The reporting ratio of Sentry events, if it is 0.01, it is 1%. +API_SENTRY_TRACES_SAMPLE_RATE=1.0 +# API Service The reporting ratio of Sentry profiles, if it is 0.01, it is 1%. +API_SENTRY_PROFILES_SAMPLE_RATE=1.0 + +# Web Service Sentry DSN address, default is empty, when empty, +# all monitoring information is not reported to Sentry. +# If not set, Sentry error reporting will be disabled. +WEB_SENTRY_DSN= + +# ------------------------------ +# Notion Integration Configuration +# Variables can be obtained by applying for Notion integration: https://www.notion.so/my-integrations +# ------------------------------ + +# Configure as "public" or "internal". +# Since Notion's OAuth redirect URL only supports HTTPS, +# if deploying locally, please use Notion's internal integration. +NOTION_INTEGRATION_TYPE=public +# Notion OAuth client secret (used for public integration type) +NOTION_CLIENT_SECRET= +# Notion OAuth client id (used for public integration type) +NOTION_CLIENT_ID= +# Notion internal integration secret. +# If the value of NOTION_INTEGRATION_TYPE is "internal", +# you need to configure this variable. +NOTION_INTERNAL_SECRET= + +# ------------------------------ +# Mail related configuration +# ------------------------------ + +# 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`. +RESEND_API_URL=https://api.resend.com +RESEND_API_KEY=your-resend-api-key + + +# SMTP server configuration, used when MAIL_TYPE is `smtp` +SMTP_SERVER= +SMTP_PORT=465 +SMTP_USERNAME= +SMTP_PASSWORD= +SMTP_USE_TLS=true +SMTP_OPPORTUNISTIC_TLS=false + +# Sendgid configuration +SENDGRID_API_KEY= + +# ------------------------------ +# Others Configuration +# ------------------------------ + +# Maximum length of segmentation tokens for indexing +INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000 + +# Member invitation link valid time (hours), +# Default: 72. +INVITE_EXPIRY_HOURS=72 + +# Reset password token valid time (minutes), +RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5 + +# The sandbox service endpoint. +CODE_EXECUTION_ENDPOINT=http://sandbox:8194 +CODE_EXECUTION_API_KEY=dify-sandbox +CODE_MAX_NUMBER=9223372036854775807 +CODE_MIN_NUMBER=-9223372036854775808 +CODE_MAX_DEPTH=5 +CODE_MAX_PRECISION=20 +CODE_MAX_STRING_LENGTH=80000 +CODE_MAX_STRING_ARRAY_LENGTH=30 +CODE_MAX_OBJECT_ARRAY_LENGTH=30 +CODE_MAX_NUMBER_ARRAY_LENGTH=1000 +CODE_EXECUTION_CONNECT_TIMEOUT=10 +CODE_EXECUTION_READ_TIMEOUT=60 +CODE_EXECUTION_WRITE_TIMEOUT=10 +TEMPLATE_TRANSFORM_MAX_LENGTH=80000 + +# Workflow runtime configuration +WORKFLOW_MAX_EXECUTION_STEPS=500 +WORKFLOW_MAX_EXECUTION_TIME=1200 +WORKFLOW_CALL_MAX_DEPTH=5 +MAX_VARIABLE_SIZE=204800 +WORKFLOW_PARALLEL_DEPTH_LIMIT=3 +WORKFLOW_FILE_UPLOAD_LIMIT=10 + +# Workflow storage configuration +# Options: rdbms, hybrid +# rdbms: Use only the relational database (default) +# hybrid: Save new data to object storage, read from both object storage and RDBMS +WORKFLOW_NODE_EXECUTION_STORAGE=rdbms + +# Repository configuration +# Core workflow execution repository implementation +CORE_WORKFLOW_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository + +# Core workflow node execution repository implementation +CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository + +# API workflow node execution repository implementation +API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository + +# API workflow run repository implementation +API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository + +# HTTP request node in workflow configuration +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 +SSRF_PROXY_HTTPS_URL=http://ssrf_proxy:3128 + +# Maximum loop count in the workflow +LOOP_NODE_MAX_COUNT=100 + +# The maximum number of tools that can be used in the agent. +MAX_TOOLS_NUM=10 + +# Maximum number of Parallelism branches in the workflow +MAX_PARALLEL_LIMIT=10 + +# The maximum number of iterations for agent setting +MAX_ITERATIONS_NUM=99 + +# ------------------------------ +# Environment Variables for web Service +# ------------------------------ + +# The timeout for the text generation in millisecond +TEXT_GENERATION_TIMEOUT_MS=60000 + +# Allow rendering unsafe URLs which have "data:" scheme. +ALLOW_UNSAFE_DATA_SCHEME=false + +# ------------------------------ +# Environment Variables for db Service +# ------------------------------ + +# 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. +POSTGRES_DB=${DB_DATABASE} +# postgres data directory +PGDATA=/var/lib/postgresql/data/pgdata + +# ------------------------------ +# Environment Variables for sandbox Service +# ------------------------------ + +# The API key for the sandbox service +SANDBOX_API_KEY=dify-sandbox +# The mode in which the Gin framework runs +SANDBOX_GIN_MODE=release +# The timeout for the worker in seconds +SANDBOX_WORKER_TIMEOUT=15 +# Enable network for the sandbox service +SANDBOX_ENABLE_NETWORK=true +# HTTP proxy URL for SSRF protection +SANDBOX_HTTP_PROXY=http://ssrf_proxy:3128 +# HTTPS proxy URL for SSRF protection +SANDBOX_HTTPS_PROXY=http://ssrf_proxy:3128 +# The port on which the sandbox service runs +SANDBOX_PORT=8194 + +# ------------------------------ +# Environment Variables for weaviate Service +# (only used when VECTOR_STORE is weaviate) +# ------------------------------ +WEAVIATE_PERSISTENCE_DATA_PATH=/var/lib/weaviate +WEAVIATE_QUERY_DEFAULTS_LIMIT=25 +WEAVIATE_AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED=true +WEAVIATE_DEFAULT_VECTORIZER_MODULE=none +WEAVIATE_CLUSTER_HOSTNAME=node1 +WEAVIATE_AUTHENTICATION_APIKEY_ENABLED=true +WEAVIATE_AUTHENTICATION_APIKEY_ALLOWED_KEYS=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih +WEAVIATE_AUTHENTICATION_APIKEY_USERS=hello@dify.ai +WEAVIATE_AUTHORIZATION_ADMINLIST_ENABLED=true +WEAVIATE_AUTHORIZATION_ADMINLIST_USERS=hello@dify.ai + +# ------------------------------ +# Environment Variables for Chroma +# (only used when VECTOR_STORE is chroma) +# ------------------------------ + +# Authentication credentials for Chroma server +CHROMA_SERVER_AUTHN_CREDENTIALS=difyai123456 +# Authentication provider for Chroma server +CHROMA_SERVER_AUTHN_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider +# Persistence setting for Chroma server +CHROMA_IS_PERSISTENT=TRUE + +# ------------------------------ +# Environment Variables for Oracle Service +# (only used when VECTOR_STORE is oracle) +# ------------------------------ +ORACLE_PWD=Dify123456 +ORACLE_CHARACTERSET=AL32UTF8 + +# ------------------------------ +# Environment Variables for milvus Service +# (only used when VECTOR_STORE is milvus) +# ------------------------------ +# ETCD configuration for auto compaction mode +ETCD_AUTO_COMPACTION_MODE=revision +# ETCD configuration for auto compaction retention in terms of number of revisions +ETCD_AUTO_COMPACTION_RETENTION=1000 +# ETCD configuration for backend quota in bytes +ETCD_QUOTA_BACKEND_BYTES=4294967296 +# ETCD configuration for the number of changes before triggering a snapshot +ETCD_SNAPSHOT_COUNT=50000 +# MinIO access key for authentication +MINIO_ACCESS_KEY=minioadmin +# MinIO secret key for authentication +MINIO_SECRET_KEY=minioadmin +# ETCD service endpoints +ETCD_ENDPOINTS=etcd:2379 +# MinIO service address +MINIO_ADDRESS=minio:9000 +# Enable or disable security authorization +MILVUS_AUTHORIZATION_ENABLED=true + +# ------------------------------ +# Environment Variables for pgvector / pgvector-rs Service +# (only used when VECTOR_STORE is pgvector / pgvector-rs) +# ------------------------------ +PGVECTOR_PGUSER=postgres +# The password for the default postgres user. +PGVECTOR_POSTGRES_PASSWORD=difyai123456 +# The name of the default postgres database. +PGVECTOR_POSTGRES_DB=dify +# postgres data directory +PGVECTOR_PGDATA=/var/lib/postgresql/data/pgdata + +# ------------------------------ +# Environment Variables for opensearch +# (only used when VECTOR_STORE is opensearch) +# ------------------------------ +OPENSEARCH_DISCOVERY_TYPE=single-node +OPENSEARCH_BOOTSTRAP_MEMORY_LOCK=true +OPENSEARCH_JAVA_OPTS_MIN=512m +OPENSEARCH_JAVA_OPTS_MAX=1024m +OPENSEARCH_INITIAL_ADMIN_PASSWORD=Qazwsxedc!@#123 +OPENSEARCH_MEMLOCK_SOFT=-1 +OPENSEARCH_MEMLOCK_HARD=-1 +OPENSEARCH_NOFILE_SOFT=65536 +OPENSEARCH_NOFILE_HARD=65536 + +# ------------------------------ +# Environment Variables for Nginx reverse proxy +# ------------------------------ +NGINX_SERVER_NAME=_ +NGINX_HTTPS_ENABLED=false +# HTTP port +NGINX_PORT=80 +# SSL settings are only applied when HTTPS_ENABLED is true +NGINX_SSL_PORT=443 +# if HTTPS_ENABLED is true, you're required to add your own SSL certificates/keys to the `./nginx/ssl` directory +# and modify the env vars below accordingly. +NGINX_SSL_CERT_FILENAME=dify.crt +NGINX_SSL_CERT_KEY_FILENAME=dify.key +NGINX_SSL_PROTOCOLS=TLSv1.1 TLSv1.2 TLSv1.3 + +# Nginx performance tuning +NGINX_WORKER_PROCESSES=auto +NGINX_CLIENT_MAX_BODY_SIZE=100M +NGINX_KEEPALIVE_TIMEOUT=65 + +# Proxy settings +NGINX_PROXY_READ_TIMEOUT=3600s +NGINX_PROXY_SEND_TIMEOUT=3600s + +# Set true to accept requests for /.well-known/acme-challenge/ +NGINX_ENABLE_CERTBOT_CHALLENGE=false + +# ------------------------------ +# Certbot Configuration +# ------------------------------ + +# Email address (required to get certificates from Let's Encrypt) +CERTBOT_EMAIL=your_email@example.com + +# Domain name +CERTBOT_DOMAIN=your_domain.com + +# certbot command options +# i.e: --force-renewal --dry-run --test-cert --debug +CERTBOT_OPTIONS= + +# ------------------------------ +# Environment Variables for SSRF Proxy +# ------------------------------ +SSRF_HTTP_PORT=3128 +SSRF_COREDUMP_DIR=/var/spool/squid +SSRF_REVERSE_PROXY_PORT=8194 +SSRF_SANDBOX_HOST=sandbox +SSRF_DEFAULT_TIME_OUT=5 +SSRF_DEFAULT_CONNECT_TIME_OUT=5 +SSRF_DEFAULT_READ_TIME_OUT=5 +SSRF_DEFAULT_WRITE_TIME_OUT=5 + +# ------------------------------ +# docker env var for specifying vector db type at startup +# (based on the vector db type, the corresponding docker +# compose profile will be used) +# if you want to use unstructured, add ',unstructured' to the end +# ------------------------------ +COMPOSE_PROFILES=${VECTOR_STORE:-weaviate} + +# ------------------------------ +# Docker Compose Service Expose Host Port Configurations +# ------------------------------ +EXPOSE_NGINX_PORT=80 +EXPOSE_NGINX_SSL_PORT=443 + +# ---------------------------------------------------------------------------- +# ModelProvider & Tool Position Configuration +# Used to specify the model providers and tools that can be used in the app. +# ---------------------------------------------------------------------------- + +# Pin, include, and exclude tools +# Use comma-separated values with no spaces between items. +# Example: POSITION_TOOL_PINS=bing,google +POSITION_TOOL_PINS= +POSITION_TOOL_INCLUDES= +POSITION_TOOL_EXCLUDES= + +# Pin, include, and exclude model providers +# Use comma-separated values with no spaces between items. +# Example: POSITION_PROVIDER_PINS=openai,openllm +POSITION_PROVIDER_PINS= +POSITION_PROVIDER_INCLUDES= +POSITION_PROVIDER_EXCLUDES= + +# CSP https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP +CSP_WHITELIST= + +# Enable or disable create tidb service job +CREATE_TIDB_SERVICE_JOB_ENABLED=false + +# Maximum number of submitted thread count in a ThreadPool for parallel node execution +MAX_SUBMIT_COUNT=100 + +# The maximum number of top-k value for RAG. +TOP_K_MAX_VALUE=10 + +# ------------------------------ +# Plugin Daemon Configuration +# ------------------------------ + +DB_PLUGIN_DATABASE=dify_plugin +EXPOSE_PLUGIN_DAEMON_PORT=5002 +PLUGIN_DAEMON_PORT=5002 +PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi +PLUGIN_DAEMON_URL=http://plugin_daemon:5002 +PLUGIN_MAX_PACKAGE_SIZE=52428800 +PLUGIN_PPROF_ENABLED=false + +PLUGIN_DEBUGGING_HOST=0.0.0.0 +PLUGIN_DEBUGGING_PORT=5003 +EXPOSE_PLUGIN_DEBUGGING_HOST=localhost +EXPOSE_PLUGIN_DEBUGGING_PORT=5003 + +# If this key is changed, DIFY_INNER_API_KEY in plugin_daemon service must also be updated or agent node will fail. +PLUGIN_DIFY_INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 +PLUGIN_DIFY_INNER_API_URL=http://api:5001 + +ENDPOINT_URL_TEMPLATE=http://localhost/e/{hook_id} + +MARKETPLACE_ENABLED=true +MARKETPLACE_API_URL=https://marketplace.dify.ai + +FORCE_VERIFYING_SIGNATURE=true + +PLUGIN_PYTHON_ENV_INIT_TIMEOUT=120 +PLUGIN_MAX_EXECUTION_TIMEOUT=600 +# PIP_MIRROR_URL=https://pypi.tuna.tsinghua.edu.cn/simple +PIP_MIRROR_URL= + +# https://github.com/langgenius/dify-plugin-daemon/blob/main/.env.example +# Plugin storage type, local aws_s3 tencent_cos azure_blob aliyun_oss volcengine_tos +PLUGIN_STORAGE_TYPE=local +PLUGIN_STORAGE_LOCAL_ROOT=/app/storage +PLUGIN_WORKING_PATH=/app/storage/cwd +PLUGIN_INSTALLED_PATH=plugin +PLUGIN_PACKAGE_CACHE_PATH=plugin_packages +PLUGIN_MEDIA_CACHE_PATH=assets +# Plugin oss bucket +PLUGIN_STORAGE_OSS_BUCKET= +# Plugin oss s3 credentials +PLUGIN_S3_USE_AWS=false +PLUGIN_S3_USE_AWS_MANAGED_IAM=false +PLUGIN_S3_ENDPOINT= +PLUGIN_S3_USE_PATH_STYLE=false +PLUGIN_AWS_ACCESS_KEY= +PLUGIN_AWS_SECRET_KEY= +PLUGIN_AWS_REGION= +# Plugin oss azure blob +PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME= +PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING= +# Plugin oss tencent cos +PLUGIN_TENCENT_COS_SECRET_KEY= +PLUGIN_TENCENT_COS_SECRET_ID= +PLUGIN_TENCENT_COS_REGION= +# Plugin oss aliyun oss +PLUGIN_ALIYUN_OSS_REGION= +PLUGIN_ALIYUN_OSS_ENDPOINT= +PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID= +PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET= +PLUGIN_ALIYUN_OSS_AUTH_VERSION=v4 +PLUGIN_ALIYUN_OSS_PATH= +# Plugin oss volcengine tos +PLUGIN_VOLCENGINE_TOS_ENDPOINT= +PLUGIN_VOLCENGINE_TOS_ACCESS_KEY= +PLUGIN_VOLCENGINE_TOS_SECRET_KEY= +PLUGIN_VOLCENGINE_TOS_REGION= + +# ------------------------------ +# OTLP Collector Configuration +# ------------------------------ +ENABLE_OTEL=false +OTLP_TRACE_ENDPOINT= +OTLP_METRIC_ENDPOINT= +OTLP_BASE_ENDPOINT=http://localhost:4318 +OTLP_API_KEY= +OTEL_EXPORTER_OTLP_PROTOCOL= +OTEL_EXPORTER_TYPE=otlp +OTEL_SAMPLING_RATE=0.1 +OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000 +OTEL_MAX_QUEUE_SIZE=2048 +OTEL_MAX_EXPORT_BATCH_SIZE=512 +OTEL_METRIC_EXPORT_INTERVAL=60000 +OTEL_BATCH_EXPORT_TIMEOUT=10000 +OTEL_METRIC_EXPORT_TIMEOUT=30000 + +# Prevent Clickjacking +ALLOW_EMBED=false + +# Dataset queue monitor configuration +QUEUE_MONITOR_THRESHOLD=200 +# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai +QUEUE_MONITOR_ALERT_EMAILS= +# Monitor interval in minutes, default is 30 minutes +QUEUE_MONITOR_INTERVAL=30 diff --git a/.github/ISSUE_TEMPLATE/chore.yaml b/.github/ISSUE_TEMPLATE/chore.yaml index 43449ef942..cf74dcc546 100644 --- a/.github/ISSUE_TEMPLATE/chore.yaml +++ b/.github/ISSUE_TEMPLATE/chore.yaml @@ -4,6 +4,23 @@ title: "[Chore/Refactor] " labels: - refactor body: + - type: checkboxes + attributes: + label: Self Checks + description: "To make sure we get to you in time, please check the following :)" + options: + - label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542). + required: true + - label: This is only for refactoring, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general). + required: true + - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. + required: true + - label: I confirm that I am using English to submit this report, otherwise it will be closed. + required: true + - label: 【中文用户 & Non English User】请使用英语提交，否则会被关闭 ：） + required: true + - label: "Please do not modify this template :) and fill in all the required fields." + required: true - type: textarea id: description attributes: diff --git a/.github/workflows/translate-i18n-base-on-english.yml b/.github/workflows/translate-i18n-base-on-english.yml index c79d58563f..1cb9c0967b 100644 --- a/.github/workflows/translate-i18n-base-on-english.yml +++ b/.github/workflows/translate-i18n-base-on-english.yml @@ -5,6 +5,10 @@ on: types: [closed] branches: [main] +permissions: + contents: write + pull-requests: write + jobs: check-and-update: if: github.event.pull_request.merged == true @@ -16,7 +20,7 @@ jobs: - uses: actions/checkout@v4 with: fetch-depth: 2 # last 2 commits - persist-credentials: false + token: ${{ secrets.GITHUB_TOKEN }} - name: Check for file changes in i18n/en-US id: check_files @@ -49,7 +53,7 @@ jobs: if: env.FILES_CHANGED == 'true' run: pnpm install --frozen-lockfile - - name: Run npm script + - name: Generate i18n translations if: env.FILES_CHANGED == 'true' run: pnpm run auto-gen-i18n @@ -57,6 +61,7 @@ jobs: if: env.FILES_CHANGED == 'true' uses: peter-evans/create-pull-request@v6 with: + token: ${{ secrets.GITHUB_TOKEN }} commit-message: Update i18n files based on en-US changes title: 'chore: translate i18n files' body: This PR was automatically created to update i18n files based on changes in en-US locale. diff --git a/.gitignore b/.gitignore index dd4673a3d2..c60957db72 100644 --- a/.gitignore +++ b/.gitignore @@ -215,3 +215,10 @@ mise.toml # AI Assistant .roo/ api/.env.backup + +# Clickzetta test credentials +.env.clickzetta +.env.clickzetta.test + +# Clickzetta plugin development folder (keep local, ignore for PR) +clickzetta/ diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py index ff290ff99d..4e228ab932 100644 --- a/api/configs/middleware/__init__.py +++ b/api/configs/middleware/__init__.py @@ -10,6 +10,7 @@ from .storage.aliyun_oss_storage_config import AliyunOSSStorageConfig from .storage.amazon_s3_storage_config import S3StorageConfig from .storage.azure_blob_storage_config import AzureBlobStorageConfig from .storage.baidu_obs_storage_config import BaiduOBSStorageConfig +from .storage.clickzetta_volume_storage_config import ClickZettaVolumeStorageConfig from .storage.google_cloud_storage_config import GoogleCloudStorageConfig from .storage.huawei_obs_storage_config import HuaweiCloudOBSStorageConfig from .storage.oci_storage_config import OCIStorageConfig @@ -20,6 +21,7 @@ from .storage.volcengine_tos_storage_config import VolcengineTOSStorageConfig from .vdb.analyticdb_config import AnalyticdbConfig from .vdb.baidu_vector_config import BaiduVectorDBConfig from .vdb.chroma_config import ChromaConfig +from .vdb.clickzetta_config import ClickzettaConfig from .vdb.couchbase_config import CouchbaseConfig from .vdb.elasticsearch_config import ElasticsearchConfig from .vdb.huawei_cloud_config import HuaweiCloudConfig @@ -52,6 +54,7 @@ class StorageConfig(BaseSettings): "aliyun-oss", "azure-blob", "baidu-obs", + "clickzetta-volume", "google-storage", "huawei-obs", "oci-storage", @@ -61,8 +64,9 @@ class StorageConfig(BaseSettings): "local", ] = Field( description="Type of storage to use." - " Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', 'google-storage', " - "'huawei-obs', 'oci-storage', 'tencent-cos', 'volcengine-tos', 'supabase'. Default is 'opendal'.", + " Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', " + "'clickzetta-volume', 'google-storage', 'huawei-obs', 'oci-storage', 'tencent-cos', " + "'volcengine-tos', 'supabase'. Default is 'opendal'.", default="opendal", ) @@ -303,6 +307,7 @@ class MiddlewareConfig( AliyunOSSStorageConfig, AzureBlobStorageConfig, BaiduOBSStorageConfig, + ClickZettaVolumeStorageConfig, GoogleCloudStorageConfig, HuaweiCloudOBSStorageConfig, OCIStorageConfig, @@ -315,6 +320,7 @@ class MiddlewareConfig( VectorStoreConfig, AnalyticdbConfig, ChromaConfig, + ClickzettaConfig, HuaweiCloudConfig, MilvusConfig, MyScaleConfig, diff --git a/api/configs/middleware/storage/clickzetta_volume_storage_config.py b/api/configs/middleware/storage/clickzetta_volume_storage_config.py new file mode 100644 index 0000000000..56e1b6a957 --- /dev/null +++ b/api/configs/middleware/storage/clickzetta_volume_storage_config.py @@ -0,0 +1,65 @@ +"""ClickZetta Volume Storage Configuration""" + +from typing import Optional + +from pydantic import Field +from pydantic_settings import BaseSettings + + +class ClickZettaVolumeStorageConfig(BaseSettings): + """Configuration for ClickZetta Volume storage.""" + + CLICKZETTA_VOLUME_USERNAME: Optional[str] = Field( + description="Username for ClickZetta Volume authentication", + default=None, + ) + + CLICKZETTA_VOLUME_PASSWORD: Optional[str] = Field( + description="Password for ClickZetta Volume authentication", + default=None, + ) + + CLICKZETTA_VOLUME_INSTANCE: Optional[str] = Field( + description="ClickZetta instance identifier", + default=None, + ) + + CLICKZETTA_VOLUME_SERVICE: str = Field( + description="ClickZetta service endpoint", + default="api.clickzetta.com", + ) + + CLICKZETTA_VOLUME_WORKSPACE: str = Field( + description="ClickZetta workspace name", + default="quick_start", + ) + + CLICKZETTA_VOLUME_VCLUSTER: str = Field( + description="ClickZetta virtual cluster name", + default="default_ap", + ) + + CLICKZETTA_VOLUME_SCHEMA: str = Field( + description="ClickZetta schema name", + default="dify", + ) + + CLICKZETTA_VOLUME_TYPE: str = Field( + description="ClickZetta volume type (table|user|external)", + default="user", + ) + + CLICKZETTA_VOLUME_NAME: Optional[str] = Field( + description="ClickZetta volume name for external volumes", + default=None, + ) + + CLICKZETTA_VOLUME_TABLE_PREFIX: str = Field( + description="Prefix for ClickZetta volume table names", + default="dataset_", + ) + + CLICKZETTA_VOLUME_DIFY_PREFIX: str = Field( + description="Directory prefix for User Volume to organize Dify files", + default="dify_km", + ) diff --git a/api/configs/middleware/vdb/clickzetta_config.py b/api/configs/middleware/vdb/clickzetta_config.py new file mode 100644 index 0000000000..04f81e25fc --- /dev/null +++ b/api/configs/middleware/vdb/clickzetta_config.py @@ -0,0 +1,69 @@ +from typing import Optional + +from pydantic import BaseModel, Field + + +class ClickzettaConfig(BaseModel): + """ + Clickzetta Lakehouse vector database configuration + """ + + CLICKZETTA_USERNAME: Optional[str] = Field( + description="Username for authenticating with Clickzetta Lakehouse", + default=None, + ) + + CLICKZETTA_PASSWORD: Optional[str] = Field( + description="Password for authenticating with Clickzetta Lakehouse", + default=None, + ) + + CLICKZETTA_INSTANCE: Optional[str] = Field( + description="Clickzetta Lakehouse instance ID", + default=None, + ) + + CLICKZETTA_SERVICE: Optional[str] = Field( + description="Clickzetta API service endpoint (e.g., 'api.clickzetta.com')", + default="api.clickzetta.com", + ) + + CLICKZETTA_WORKSPACE: Optional[str] = Field( + description="Clickzetta workspace name", + default="default", + ) + + CLICKZETTA_VCLUSTER: Optional[str] = Field( + description="Clickzetta virtual cluster name", + default="default_ap", + ) + + CLICKZETTA_SCHEMA: Optional[str] = Field( + description="Database schema name in Clickzetta", + default="public", + ) + + CLICKZETTA_BATCH_SIZE: Optional[int] = Field( + description="Batch size for bulk insert operations", + default=100, + ) + + CLICKZETTA_ENABLE_INVERTED_INDEX: Optional[bool] = Field( + description="Enable inverted index for full-text search capabilities", + default=True, + ) + + CLICKZETTA_ANALYZER_TYPE: Optional[str] = Field( + description="Analyzer type for full-text search: keyword, english, chinese, unicode", + default="chinese", + ) + + CLICKZETTA_ANALYZER_MODE: Optional[str] = Field( + description="Analyzer mode for tokenization: max_word (fine-grained) or smart (intelligent)", + default="smart", + ) + + CLICKZETTA_VECTOR_DISTANCE_FUNCTION: Optional[str] = Field( + description="Distance function for vector similarity: l2_distance or cosine_distance", + default="cosine_distance", + ) diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 09c3984356..13eab40476 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -694,6 +694,7 @@ class DatasetRetrievalSettingApi(Resource): | VectorType.HUAWEI_CLOUD | VectorType.TENCENT | VectorType.MATRIXONE + | VectorType.CLICKZETTA ): return { "retrieval_method": [ @@ -742,6 +743,7 @@ class DatasetRetrievalSettingMockApi(Resource): | VectorType.TENCENT | VectorType.HUAWEI_CLOUD | VectorType.MATRIXONE + | VectorType.CLICKZETTA ): return { "retrieval_method": [ diff --git a/api/controllers/console/files.py b/api/controllers/console/files.py index 66b6214f82..256ff24b3b 100644 --- a/api/controllers/console/files.py +++ b/api/controllers/console/files.py @@ -49,7 +49,6 @@ class FileApi(Resource): @marshal_with(file_fields) @cloud_edition_billing_resource_check("documents") def post(self): - file = request.files["file"] source_str = request.form.get("source") source: Literal["datasets"] | None = "datasets" if source_str == "datasets" else None @@ -58,6 +57,7 @@ class FileApi(Resource): if len(request.files) > 1: raise TooManyFilesError() + file = request.files["file"] if not file.filename: raise FilenameNotExistsError diff --git a/api/controllers/console/workspace/workspace.py b/api/controllers/console/workspace/workspace.py index 19999e7361..6012c9ecc8 100644 --- a/api/controllers/console/workspace/workspace.py +++ b/api/controllers/console/workspace/workspace.py @@ -191,9 +191,6 @@ class WebappLogoWorkspaceApi(Resource): @account_initialization_required @cloud_edition_billing_resource_check("workspace_custom") def post(self): - # get file from request - file = request.files["file"] - # check file if "file" not in request.files: raise NoFileUploadedError() @@ -201,6 +198,8 @@ class WebappLogoWorkspaceApi(Resource): if len(request.files) > 1: raise TooManyFilesError() + # get file from request + file = request.files["file"] if not file.filename: raise FilenameNotExistsError diff --git a/api/controllers/service_api/app/file.py b/api/controllers/service_api/app/file.py index b0fd8e65ef..f09d07bcb6 100644 --- a/api/controllers/service_api/app/file.py +++ b/api/controllers/service_api/app/file.py @@ -20,18 +20,17 @@ class FileApi(Resource): @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.FORM)) @marshal_with(file_fields) def post(self, app_model: App, end_user: EndUser): - file = request.files["file"] - # check file if "file" not in request.files: raise NoFileUploadedError() - if not file.mimetype: - raise UnsupportedFileTypeError() - if len(request.files) > 1: raise TooManyFilesError() + file = request.files["file"] + if not file.mimetype: + raise UnsupportedFileTypeError() + if not file.filename: raise FilenameNotExistsError diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py index 77600aa18c..2955d5d20d 100644 --- a/api/controllers/service_api/dataset/document.py +++ b/api/controllers/service_api/dataset/document.py @@ -234,8 +234,6 @@ class DocumentAddByFileApi(DatasetApiResource): args["retrieval_model"].get("reranking_model").get("reranking_model_name"), ) - # save file info - file = request.files["file"] # check file if "file" not in request.files: raise NoFileUploadedError() @@ -243,6 +241,8 @@ class DocumentAddByFileApi(DatasetApiResource): if len(request.files) > 1: raise TooManyFilesError() + # save file info + file = request.files["file"] if not file.filename: raise FilenameNotExistsError diff --git a/api/controllers/web/files.py b/api/controllers/web/files.py index df06a73a85..8e9317606e 100644 --- a/api/controllers/web/files.py +++ b/api/controllers/web/files.py @@ -12,18 +12,17 @@ from services.file_service import FileService class FileApi(WebApiResource): @marshal_with(file_fields) def post(self, app_model, end_user): - file = request.files["file"] - source = request.form.get("source") - if "file" not in request.files: raise NoFileUploadedError() if len(request.files) > 1: raise TooManyFilesError() + file = request.files["file"] if not file.filename: raise FilenameNotExistsError + source = request.form.get("source") if source not in ("datasets", None): source = None diff --git a/api/core/memory/token_buffer_memory.py b/api/core/memory/token_buffer_memory.py index 7ce124594a..91f17568b6 100644 --- a/api/core/memory/token_buffer_memory.py +++ b/api/core/memory/token_buffer_memory.py @@ -121,9 +121,8 @@ class TokenBufferMemory: curr_message_tokens = self.model_instance.get_llm_num_tokens(prompt_messages) if curr_message_tokens > max_token_limit: - pruned_memory = [] while curr_message_tokens > max_token_limit and len(prompt_messages) > 1: - pruned_memory.append(prompt_messages.pop(0)) + prompt_messages.pop(0) curr_message_tokens = self.model_instance.get_llm_num_tokens(prompt_messages) return prompt_messages diff --git a/api/core/rag/datasource/vdb/clickzetta/README.md b/api/core/rag/datasource/vdb/clickzetta/README.md new file mode 100644 index 0000000000..40229f8d44 --- /dev/null +++ b/api/core/rag/datasource/vdb/clickzetta/README.md @@ -0,0 +1,190 @@ +# Clickzetta Vector Database Integration + +This module provides integration with Clickzetta Lakehouse as a vector database for Dify. + +## Features + +- **Vector Storage**: Store and retrieve high-dimensional vectors using Clickzetta's native VECTOR type +- **Vector Search**: Efficient similarity search using HNSW algorithm +- **Full-Text Search**: Leverage Clickzetta's inverted index for powerful text search capabilities +- **Hybrid Search**: Combine vector similarity and full-text search for better results +- **Multi-language Support**: Built-in support for Chinese, English, and Unicode text processing +- **Scalable**: Leverage Clickzetta's distributed architecture for large-scale deployments + +## Configuration + +### Required Environment Variables + +All seven configuration parameters are required: + +```bash +# Authentication +CLICKZETTA_USERNAME=your_username +CLICKZETTA_PASSWORD=your_password + +# Instance configuration +CLICKZETTA_INSTANCE=your_instance_id +CLICKZETTA_SERVICE=api.clickzetta.com +CLICKZETTA_WORKSPACE=your_workspace +CLICKZETTA_VCLUSTER=your_vcluster +CLICKZETTA_SCHEMA=your_schema +``` + +### Optional Configuration + +```bash +# Batch processing +CLICKZETTA_BATCH_SIZE=100 + +# Full-text search configuration +CLICKZETTA_ENABLE_INVERTED_INDEX=true +CLICKZETTA_ANALYZER_TYPE=chinese # Options: keyword, english, chinese, unicode +CLICKZETTA_ANALYZER_MODE=smart # Options: max_word, smart + +# Vector search configuration +CLICKZETTA_VECTOR_DISTANCE_FUNCTION=cosine_distance # Options: l2_distance, cosine_distance +``` + +## Usage + +### 1. Set Clickzetta as the Vector Store + +In your Dify configuration, set: + +```bash +VECTOR_STORE=clickzetta +``` + +### 2. Table Structure + +Clickzetta will automatically create tables with the following structure: + +```sql +CREATE TABLE ( + id STRING NOT NULL, + content STRING NOT NULL, + metadata JSON, + vector VECTOR(FLOAT, ) NOT NULL, + PRIMARY KEY (id) +); + +-- Vector index for similarity search +CREATE VECTOR INDEX idx__vec +ON TABLE .(vector) +PROPERTIES ( + "distance.function" = "cosine_distance", + "scalar.type" = "f32" +); + +-- Inverted index for full-text search (if enabled) +CREATE INVERTED INDEX idx__text +ON .(content) +PROPERTIES ( + "analyzer" = "chinese", + "mode" = "smart" +); +``` + +## Full-Text Search Capabilities + +Clickzetta supports advanced full-text search with multiple analyzers: + +### Analyzer Types + +1. **keyword**: No tokenization, treats the entire string as a single token + - Best for: Exact matching, IDs, codes + +2. **english**: Designed for English text + - Features: Recognizes ASCII letters and numbers, converts to lowercase + - Best for: English content + +3. **chinese**: Chinese text tokenizer + - Features: Recognizes Chinese and English characters, removes punctuation + - Best for: Chinese or mixed Chinese-English content + +4. **unicode**: Multi-language tokenizer based on Unicode + - Features: Recognizes text boundaries in multiple languages + - Best for: Multi-language content + +### Analyzer Modes + +- **max_word**: Fine-grained tokenization (more tokens) +- **smart**: Intelligent tokenization (balanced) + +### Full-Text Search Functions + +- `MATCH_ALL(column, query)`: All terms must be present +- `MATCH_ANY(column, query)`: At least one term must be present +- `MATCH_PHRASE(column, query)`: Exact phrase matching +- `MATCH_PHRASE_PREFIX(column, query)`: Phrase prefix matching +- `MATCH_REGEXP(column, pattern)`: Regular expression matching + +## Performance Optimization + +### Vector Search + +1. **Adjust exploration factor** for accuracy vs speed trade-off: + ```sql + SET cz.vector.index.search.ef=64; + ``` + +2. **Use appropriate distance functions**: + - `cosine_distance`: Best for normalized embeddings (e.g., from language models) + - `l2_distance`: Best for raw feature vectors + +### Full-Text Search + +1. **Choose the right analyzer**: + - Use `keyword` for exact matching + - Use language-specific analyzers for better tokenization + +2. **Combine with vector search**: + - Pre-filter with full-text search for better performance + - Use hybrid search for improved relevance + +## Troubleshooting + +### Connection Issues + +1. Verify all 7 required configuration parameters are set +2. Check network connectivity to Clickzetta service +3. Ensure the user has proper permissions on the schema + +### Search Performance + +1. Verify vector index exists: + ```sql + SHOW INDEX FROM .; + ``` + +2. Check if vector index is being used: + ```sql + EXPLAIN SELECT ... WHERE l2_distance(...) < threshold; + ``` + Look for `vector_index_search_type` in the execution plan. + +### Full-Text Search Not Working + +1. Verify inverted index is created +2. Check analyzer configuration matches your content language +3. Use `TOKENIZE()` function to test tokenization: + ```sql + SELECT TOKENIZE('your text', map('analyzer', 'chinese', 'mode', 'smart')); + ``` + +## Limitations + +1. Vector operations don't support `ORDER BY` or `GROUP BY` directly on vector columns +2. Full-text search relevance scores are not provided by Clickzetta +3. Inverted index creation may fail for very large existing tables (continue without error) +4. Index naming constraints: + - Index names must be unique within a schema + - Only one vector index can be created per column + - The implementation uses timestamps to ensure unique index names +5. A column can only have one vector index at a time + +## References + +- [Clickzetta Vector Search Documentation](../../../../../../../yunqidoc/cn_markdown_20250526/vector-search.md) +- [Clickzetta Inverted Index Documentation](../../../../../../../yunqidoc/cn_markdown_20250526/inverted-index.md) +- [Clickzetta SQL Functions](../../../../../../../yunqidoc/cn_markdown_20250526/sql_functions/) diff --git a/api/core/rag/datasource/vdb/clickzetta/__init__.py b/api/core/rag/datasource/vdb/clickzetta/__init__.py new file mode 100644 index 0000000000..9d41c5a57d --- /dev/null +++ b/api/core/rag/datasource/vdb/clickzetta/__init__.py @@ -0,0 +1 @@ +# Clickzetta Vector Database Integration for Dify diff --git a/api/core/rag/datasource/vdb/clickzetta/clickzetta_vector.py b/api/core/rag/datasource/vdb/clickzetta/clickzetta_vector.py new file mode 100644 index 0000000000..d295bab5aa --- /dev/null +++ b/api/core/rag/datasource/vdb/clickzetta/clickzetta_vector.py @@ -0,0 +1,834 @@ +import json +import logging +import queue +import threading +import uuid +from typing import Any, Optional, TYPE_CHECKING + +import clickzetta # type: ignore +from pydantic import BaseModel, model_validator + +if TYPE_CHECKING: + from clickzetta import Connection + +from configs import dify_config +from core.rag.datasource.vdb.field import Field +from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.embedding.embedding_base import Embeddings +from core.rag.models.document import Document +from models.dataset import Dataset + +logger = logging.getLogger(__name__) + + +# ClickZetta Lakehouse Vector Database Configuration + + +class ClickzettaConfig(BaseModel): + """ + Configuration class for Clickzetta connection. + """ + + username: str + password: str + instance: str + service: str = "api.clickzetta.com" + workspace: str = "quick_start" + vcluster: str = "default_ap" + schema_name: str = "dify" # Renamed to avoid shadowing BaseModel.schema + # Advanced settings + batch_size: int = 20 # Reduced batch size to avoid large SQL statements + enable_inverted_index: bool = True # Enable inverted index for full-text search + analyzer_type: str = "chinese" # Analyzer type for full-text search: keyword, english, chinese, unicode + analyzer_mode: str = "smart" # Analyzer mode: max_word, smart + vector_distance_function: str = "cosine_distance" # l2_distance or cosine_distance + + @model_validator(mode="before") + @classmethod + def validate_config(cls, values: dict) -> dict: + """ + Validate the configuration values. + """ + if not values.get("username"): + raise ValueError("config CLICKZETTA_USERNAME is required") + if not values.get("password"): + raise ValueError("config CLICKZETTA_PASSWORD is required") + if not values.get("instance"): + raise ValueError("config CLICKZETTA_INSTANCE is required") + if not values.get("service"): + raise ValueError("config CLICKZETTA_SERVICE is required") + if not values.get("workspace"): + raise ValueError("config CLICKZETTA_WORKSPACE is required") + if not values.get("vcluster"): + raise ValueError("config CLICKZETTA_VCLUSTER is required") + if not values.get("schema_name"): + raise ValueError("config CLICKZETTA_SCHEMA is required") + return values + + +class ClickzettaVector(BaseVector): + """ + Clickzetta vector storage implementation. + """ + + # Class-level write queue and lock for serializing writes + _write_queue: Optional[queue.Queue] = None + _write_thread: Optional[threading.Thread] = None + _write_lock = threading.Lock() + _shutdown = False + + def __init__(self, collection_name: str, config: ClickzettaConfig): + super().__init__(collection_name) + self._config = config + self._table_name = collection_name.replace("-", "_").lower() # Ensure valid table name + self._connection: Optional["Connection"] = None + self._init_connection() + self._init_write_queue() + + def _init_connection(self): + """Initialize Clickzetta connection.""" + self._connection = clickzetta.connect( + username=self._config.username, + password=self._config.password, + instance=self._config.instance, + service=self._config.service, + workspace=self._config.workspace, + vcluster=self._config.vcluster, + schema=self._config.schema_name + ) + + # Set session parameters for better string handling and performance optimization + if self._connection is not None: + with self._connection.cursor() as cursor: + # Use quote mode for string literal escaping to handle quotes better + cursor.execute("SET cz.sql.string.literal.escape.mode = 'quote'") + logger.info("Set string literal escape mode to 'quote' for better quote handling") + + # Performance optimization hints for vector operations + self._set_performance_hints(cursor) + + def _set_performance_hints(self, cursor): + """Set ClickZetta performance optimization hints for vector operations.""" + try: + # Performance optimization hints for vector operations and query processing + performance_hints = [ + # Vector index optimization + "SET cz.storage.parquet.vector.index.read.memory.cache = true", + "SET cz.storage.parquet.vector.index.read.local.cache = false", + + # Query optimization + "SET cz.sql.table.scan.push.down.filter = true", + "SET cz.sql.table.scan.enable.ensure.filter = true", + "SET cz.storage.always.prefetch.internal = true", + "SET cz.optimizer.generate.columns.always.valid = true", + "SET cz.sql.index.prewhere.enabled = true", + + # Storage optimization + "SET cz.storage.parquet.enable.io.prefetch = false", + "SET cz.optimizer.enable.mv.rewrite = false", + "SET cz.sql.dump.as.lz4 = true", + "SET cz.optimizer.limited.optimization.naive.query = true", + "SET cz.sql.table.scan.enable.push.down.log = false", + "SET cz.storage.use.file.format.local.stats = false", + "SET cz.storage.local.file.object.cache.level = all", + + # Job execution optimization + "SET cz.sql.job.fast.mode = true", + "SET cz.storage.parquet.non.contiguous.read = true", + "SET cz.sql.compaction.after.commit = true" + ] + + for hint in performance_hints: + cursor.execute(hint) + + logger.info("Applied %d performance optimization hints for ClickZetta vector operations", len(performance_hints)) + + except Exception: + # Catch any errors setting performance hints but continue with defaults + logger.exception("Failed to set some performance hints, continuing with default settings") + + @classmethod + def _init_write_queue(cls): + """Initialize the write queue and worker thread.""" + with cls._write_lock: + if cls._write_queue is None: + cls._write_queue = queue.Queue() + cls._write_thread = threading.Thread(target=cls._write_worker, daemon=True) + cls._write_thread.start() + logger.info("Started Clickzetta write worker thread") + + @classmethod + def _write_worker(cls): + """Worker thread that processes write tasks sequentially.""" + while not cls._shutdown: + try: + # Get task from queue with timeout + if cls._write_queue is not None: + task = cls._write_queue.get(timeout=1) + if task is None: # Shutdown signal + break + + # Execute the write task + func, args, kwargs, result_queue = task + try: + result = func(*args, **kwargs) + result_queue.put((True, result)) + except (RuntimeError, ValueError, TypeError, ConnectionError) as e: + logger.exception("Write task failed") + result_queue.put((False, e)) + finally: + cls._write_queue.task_done() + else: + break + except queue.Empty: + continue + except (RuntimeError, ValueError, TypeError, ConnectionError) as e: + logger.exception("Write worker error") + + def _execute_write(self, func, *args, **kwargs): + """Execute a write operation through the queue.""" + if ClickzettaVector._write_queue is None: + raise RuntimeError("Write queue not initialized") + + result_queue: queue.Queue[tuple[bool, Any]] = queue.Queue() + ClickzettaVector._write_queue.put((func, args, kwargs, result_queue)) + + # Wait for result + success, result = result_queue.get() + if not success: + raise result + return result + + def get_type(self) -> str: + """Return the vector database type.""" + return "clickzetta" + + def _ensure_connection(self) -> "Connection": + """Ensure connection is available and return it.""" + if self._connection is None: + raise RuntimeError("Database connection not initialized") + return self._connection + + def _table_exists(self) -> bool: + """Check if the table exists.""" + try: + connection = self._ensure_connection() + with connection.cursor() as cursor: + cursor.execute(f"DESC {self._config.schema_name}.{self._table_name}") + return True + except (RuntimeError, ValueError) as e: + if "table or view not found" in str(e).lower(): + return False + else: + # Re-raise if it's a different error + raise + + def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): + """Create the collection and add initial documents.""" + # Execute table creation through write queue to avoid concurrent conflicts + self._execute_write(self._create_table_and_indexes, embeddings) + + # Add initial texts + if texts: + self.add_texts(texts, embeddings, **kwargs) + + def _create_table_and_indexes(self, embeddings: list[list[float]]): + """Create table and indexes (executed in write worker thread).""" + # Check if table already exists to avoid unnecessary index creation + if self._table_exists(): + logger.info("Table %s.%s already exists, skipping creation", self._config.schema_name, self._table_name) + return + + # Create table with vector and metadata columns + dimension = len(embeddings[0]) if embeddings else 768 + + create_table_sql = f""" + CREATE TABLE IF NOT EXISTS {self._config.schema_name}.{self._table_name} ( + id STRING NOT NULL COMMENT 'Unique document identifier', + {Field.CONTENT_KEY.value} STRING NOT NULL COMMENT 'Document text content for search and retrieval', + {Field.METADATA_KEY.value} JSON COMMENT 'Document metadata including source, type, and other attributes', + {Field.VECTOR.value} VECTOR(FLOAT, {dimension}) NOT NULL COMMENT + 'High-dimensional embedding vector for semantic similarity search', + PRIMARY KEY (id) + ) COMMENT 'Dify RAG knowledge base vector storage table for document embeddings and content' + """ + + connection = self._ensure_connection() + with connection.cursor() as cursor: + cursor.execute(create_table_sql) + logger.info("Created table %s.%s", self._config.schema_name, self._table_name) + + # Create vector index + self._create_vector_index(cursor) + + # Create inverted index for full-text search if enabled + if self._config.enable_inverted_index: + self._create_inverted_index(cursor) + + def _create_vector_index(self, cursor): + """Create HNSW vector index for similarity search.""" + # Use a fixed index name based on table and column name + index_name = f"idx_{self._table_name}_vector" + + # First check if an index already exists on this column + try: + cursor.execute(f"SHOW INDEX FROM {self._config.schema_name}.{self._table_name}") + existing_indexes = cursor.fetchall() + for idx in existing_indexes: + # Check if vector index already exists on the embedding column + if Field.VECTOR.value in str(idx).lower(): + logger.info("Vector index already exists on column %s", Field.VECTOR.value) + return + except (RuntimeError, ValueError) as e: + logger.warning("Failed to check existing indexes: %s", e) + + index_sql = f""" + CREATE VECTOR INDEX IF NOT EXISTS {index_name} + ON TABLE {self._config.schema_name}.{self._table_name}({Field.VECTOR.value}) + PROPERTIES ( + "distance.function" = "{self._config.vector_distance_function}", + "scalar.type" = "f32", + "m" = "16", + "ef.construction" = "128" + ) + """ + try: + cursor.execute(index_sql) + logger.info("Created vector index: %s", index_name) + except (RuntimeError, ValueError) as e: + error_msg = str(e).lower() + if ("already exists" in error_msg or + "already has index" in error_msg or + "with the same type" in error_msg): + logger.info("Vector index already exists: %s", e) + else: + logger.exception("Failed to create vector index") + raise + + def _create_inverted_index(self, cursor): + """Create inverted index for full-text search.""" + # Use a fixed index name based on table name to avoid duplicates + index_name = f"idx_{self._table_name}_text" + + # Check if an inverted index already exists on this column + try: + cursor.execute(f"SHOW INDEX FROM {self._config.schema_name}.{self._table_name}") + existing_indexes = cursor.fetchall() + for idx in existing_indexes: + idx_str = str(idx).lower() + # More precise check: look for inverted index specifically on the content column + if ("inverted" in idx_str and + Field.CONTENT_KEY.value.lower() in idx_str and + (index_name.lower() in idx_str or f"idx_{self._table_name}_text" in idx_str)): + logger.info("Inverted index already exists on column %s: %s", Field.CONTENT_KEY.value, idx) + return + except (RuntimeError, ValueError) as e: + logger.warning("Failed to check existing indexes: %s", e) + + index_sql = f""" + CREATE INVERTED INDEX IF NOT EXISTS {index_name} + ON TABLE {self._config.schema_name}.{self._table_name} ({Field.CONTENT_KEY.value}) + PROPERTIES ( + "analyzer" = "{self._config.analyzer_type}", + "mode" = "{self._config.analyzer_mode}" + ) + """ + try: + cursor.execute(index_sql) + logger.info("Created inverted index: %s", index_name) + except (RuntimeError, ValueError) as e: + error_msg = str(e).lower() + # Handle ClickZetta specific error messages + if (("already exists" in error_msg or + "already has index" in error_msg or + "with the same type" in error_msg or + "cannot create inverted index" in error_msg) and + "already has index" in error_msg): + logger.info("Inverted index already exists on column %s", Field.CONTENT_KEY.value) + # Try to get the existing index name for logging + try: + cursor.execute(f"SHOW INDEX FROM {self._config.schema_name}.{self._table_name}") + existing_indexes = cursor.fetchall() + for idx in existing_indexes: + if "inverted" in str(idx).lower() and Field.CONTENT_KEY.value.lower() in str(idx).lower(): + logger.info("Found existing inverted index: %s", idx) + break + except (RuntimeError, ValueError): + pass + else: + logger.warning("Failed to create inverted index: %s", e) + # Continue without inverted index - full-text search will fall back to LIKE + + + def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): + """Add documents with embeddings to the collection.""" + if not documents: + return + + batch_size = self._config.batch_size + total_batches = (len(documents) + batch_size - 1) // batch_size + + for i in range(0, len(documents), batch_size): + batch_docs = documents[i:i + batch_size] + batch_embeddings = embeddings[i:i + batch_size] + + # Execute batch insert through write queue + self._execute_write(self._insert_batch, batch_docs, batch_embeddings, i, batch_size, total_batches) + + def _insert_batch(self, batch_docs: list[Document], batch_embeddings: list[list[float]], + batch_index: int, batch_size: int, total_batches: int): + """Insert a batch of documents using parameterized queries (executed in write worker thread).""" + if not batch_docs or not batch_embeddings: + logger.warning("Empty batch provided, skipping insertion") + return + + if len(batch_docs) != len(batch_embeddings): + logger.error("Mismatch between docs (%d) and embeddings (%d)", len(batch_docs), len(batch_embeddings)) + return + + # Prepare data for parameterized insertion + data_rows = [] + vector_dimension = len(batch_embeddings[0]) if batch_embeddings and batch_embeddings[0] else 768 + + for doc, embedding in zip(batch_docs, batch_embeddings): + # Optimized: minimal checks for common case, fallback for edge cases + metadata = doc.metadata if doc.metadata else {} + + if not isinstance(metadata, dict): + metadata = {} + + doc_id = self._safe_doc_id(metadata.get("doc_id", str(uuid.uuid4()))) + + # Fast path for JSON serialization + try: + metadata_json = json.dumps(metadata, ensure_ascii=True) + except (TypeError, ValueError): + logger.warning("JSON serialization failed, using empty dict") + metadata_json = "{}" + + content = doc.page_content or "" + + # According to ClickZetta docs, vector should be formatted as array string + # for external systems: '[1.0, 2.0, 3.0]' + vector_str = '[' + ','.join(map(str, embedding)) + ']' + data_rows.append([doc_id, content, metadata_json, vector_str]) + + # Check if we have any valid data to insert + if not data_rows: + logger.warning("No valid documents to insert in batch %d/%d", batch_index // batch_size + 1, total_batches) + return + + # Use parameterized INSERT with executemany for better performance and security + # Cast JSON and VECTOR in SQL, pass raw data as parameters + columns = f"id, {Field.CONTENT_KEY.value}, {Field.METADATA_KEY.value}, {Field.VECTOR.value}" + insert_sql = ( + f"INSERT INTO {self._config.schema_name}.{self._table_name} ({columns}) " + f"VALUES (?, ?, CAST(? AS JSON), CAST(? AS VECTOR({vector_dimension})))" + ) + + connection = self._ensure_connection() + with connection.cursor() as cursor: + try: + # Set session-level hints for batch insert operations + # Note: executemany doesn't support hints parameter, so we set them as session variables + cursor.execute("SET cz.sql.job.fast.mode = true") + cursor.execute("SET cz.sql.compaction.after.commit = true") + cursor.execute("SET cz.storage.always.prefetch.internal = true") + + cursor.executemany(insert_sql, data_rows) + logger.info( + f"Inserted batch {batch_index // batch_size + 1}/{total_batches} " + f"({len(data_rows)} valid docs using parameterized query with VECTOR({vector_dimension}) cast)" + ) + except (RuntimeError, ValueError, TypeError, ConnectionError) as e: + logger.exception("Parameterized SQL execution failed for %d documents: %s", len(data_rows), e) + logger.exception("SQL template: %s", insert_sql) + logger.exception("Sample data row: %s", data_rows[0] if data_rows else 'None') + raise + + def text_exists(self, id: str) -> bool: + """Check if a document exists by ID.""" + safe_id = self._safe_doc_id(id) + connection = self._ensure_connection() + with connection.cursor() as cursor: + cursor.execute( + f"SELECT COUNT(*) FROM {self._config.schema_name}.{self._table_name} WHERE id = ?", + [safe_id] + ) + result = cursor.fetchone() + return result[0] > 0 if result else False + + def delete_by_ids(self, ids: list[str]) -> None: + """Delete documents by IDs.""" + if not ids: + return + + # Check if table exists before attempting delete + if not self._table_exists(): + logger.warning("Table %s.%s does not exist, skipping delete", self._config.schema_name, self._table_name) + return + + # Execute delete through write queue + self._execute_write(self._delete_by_ids_impl, ids) + + def _delete_by_ids_impl(self, ids: list[str]) -> None: + """Implementation of delete by IDs (executed in write worker thread).""" + safe_ids = [self._safe_doc_id(id) for id in ids] + # Create properly escaped string literals for SQL + id_list = ",".join(f"'{id}'" for id in safe_ids) + sql = f"DELETE FROM {self._config.schema_name}.{self._table_name} WHERE id IN ({id_list})" + + connection = self._ensure_connection() + with connection.cursor() as cursor: + cursor.execute(sql) + + def delete_by_metadata_field(self, key: str, value: str) -> None: + """Delete documents by metadata field.""" + # Check if table exists before attempting delete + if not self._table_exists(): + logger.warning("Table %s.%s does not exist, skipping delete", self._config.schema_name, self._table_name) + return + + # Execute delete through write queue + self._execute_write(self._delete_by_metadata_field_impl, key, value) + + def _delete_by_metadata_field_impl(self, key: str, value: str) -> None: + """Implementation of delete by metadata field (executed in write worker thread).""" + connection = self._ensure_connection() + with connection.cursor() as cursor: + # Using JSON path to filter with parameterized query + # Note: JSON path requires literal key name, cannot be parameterized + # Use json_extract_string function for ClickZetta compatibility + sql = (f"DELETE FROM {self._config.schema_name}.{self._table_name} " + f"WHERE json_extract_string({Field.METADATA_KEY.value}, '$.{key}') = ?") + cursor.execute(sql, [value]) + + def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: + """Search for documents by vector similarity.""" + top_k = kwargs.get("top_k", 10) + score_threshold = kwargs.get("score_threshold", 0.0) + document_ids_filter = kwargs.get("document_ids_filter") + + # Handle filter parameter from canvas (workflow) + filter_param = kwargs.get("filter", {}) + + # Build filter clause + filter_clauses = [] + if document_ids_filter: + safe_doc_ids = [str(id).replace("'", "''") for id in document_ids_filter] + doc_ids_str = ",".join(f"'{id}'" for id in safe_doc_ids) + # Use json_extract_string function for ClickZetta compatibility + filter_clauses.append( + f"json_extract_string({Field.METADATA_KEY.value}, '$.document_id') IN ({doc_ids_str})" + ) + + # No need for dataset_id filter since each dataset has its own table + + # Add distance threshold based on distance function + vector_dimension = len(query_vector) + if self._config.vector_distance_function == "cosine_distance": + # For cosine distance, smaller is better (0 = identical, 2 = opposite) + distance_func = "COSINE_DISTANCE" + if score_threshold > 0: + query_vector_str = f"CAST('[{self._format_vector_simple(query_vector)}]' AS VECTOR({vector_dimension}))" + filter_clauses.append(f"{distance_func}({Field.VECTOR.value}, " + f"{query_vector_str}) < {2 - score_threshold}") + else: + # For L2 distance, smaller is better + distance_func = "L2_DISTANCE" + if score_threshold > 0: + query_vector_str = f"CAST('[{self._format_vector_simple(query_vector)}]' AS VECTOR({vector_dimension}))" + filter_clauses.append(f"{distance_func}({Field.VECTOR.value}, " + f"{query_vector_str}) < {score_threshold}") + + where_clause = " AND ".join(filter_clauses) if filter_clauses else "1=1" + + # Execute vector search query + query_vector_str = f"CAST('[{self._format_vector_simple(query_vector)}]' AS VECTOR({vector_dimension}))" + search_sql = f""" + SELECT id, {Field.CONTENT_KEY.value}, {Field.METADATA_KEY.value}, + {distance_func}({Field.VECTOR.value}, {query_vector_str}) AS distance + FROM {self._config.schema_name}.{self._table_name} + WHERE {where_clause} + ORDER BY distance + LIMIT {top_k} + """ + + documents = [] + connection = self._ensure_connection() + with connection.cursor() as cursor: + # Use hints parameter for vector search optimization + search_hints = { + 'hints': { + 'sdk.job.timeout': 60, # Increase timeout for vector search + 'cz.sql.job.fast.mode': True, + 'cz.storage.parquet.vector.index.read.memory.cache': True + } + } + cursor.execute(search_sql, parameters=search_hints) + results = cursor.fetchall() + + for row in results: + # Parse metadata from JSON string (may be double-encoded) + try: + if row[2]: + metadata = json.loads(row[2]) + + # If result is a string, it's double-encoded JSON - parse again + if isinstance(metadata, str): + metadata = json.loads(metadata) + + if not isinstance(metadata, dict): + metadata = {} + else: + metadata = {} + except (json.JSONDecodeError, TypeError) as e: + logger.error("JSON parsing failed: %s", e) + # Fallback: extract document_id with regex + import re + doc_id_match = re.search(r'"document_id":\s*"([^"]+)"', str(row[2] or '')) + metadata = {"document_id": doc_id_match.group(1)} if doc_id_match else {} + + # Ensure required fields are set + metadata["doc_id"] = row[0] # segment id + + # Ensure document_id exists (critical for Dify's format_retrieval_documents) + if "document_id" not in metadata: + metadata["document_id"] = row[0] # fallback to segment id + + # Add score based on distance + if self._config.vector_distance_function == "cosine_distance": + metadata["score"] = 1 - (row[3] / 2) + else: + metadata["score"] = 1 / (1 + row[3]) + + doc = Document(page_content=row[1], metadata=metadata) + documents.append(doc) + + return documents + + def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: + """Search for documents using full-text search with inverted index.""" + if not self._config.enable_inverted_index: + logger.warning("Full-text search is not enabled. Enable inverted index in config.") + return [] + + top_k = kwargs.get("top_k", 10) + document_ids_filter = kwargs.get("document_ids_filter") + + # Handle filter parameter from canvas (workflow) + filter_param = kwargs.get("filter", {}) + + # Build filter clause + filter_clauses = [] + if document_ids_filter: + safe_doc_ids = [str(id).replace("'", "''") for id in document_ids_filter] + doc_ids_str = ",".join(f"'{id}'" for id in safe_doc_ids) + # Use json_extract_string function for ClickZetta compatibility + filter_clauses.append( + f"json_extract_string({Field.METADATA_KEY.value}, '$.document_id') IN ({doc_ids_str})" + ) + + # No need for dataset_id filter since each dataset has its own table + + # Use match_all function for full-text search + # match_all requires all terms to be present + # Use simple quote escaping for MATCH_ALL since it needs to be in the WHERE clause + escaped_query = query.replace("'", "''") + filter_clauses.append(f"MATCH_ALL({Field.CONTENT_KEY.value}, '{escaped_query}')") + + where_clause = " AND ".join(filter_clauses) + + # Execute full-text search query + search_sql = f""" + SELECT id, {Field.CONTENT_KEY.value}, {Field.METADATA_KEY.value} + FROM {self._config.schema_name}.{self._table_name} + WHERE {where_clause} + LIMIT {top_k} + """ + + documents = [] + connection = self._ensure_connection() + with connection.cursor() as cursor: + try: + # Use hints parameter for full-text search optimization + fulltext_hints = { + 'hints': { + 'sdk.job.timeout': 30, # Timeout for full-text search + 'cz.sql.job.fast.mode': True, + 'cz.sql.index.prewhere.enabled': True + } + } + cursor.execute(search_sql, parameters=fulltext_hints) + results = cursor.fetchall() + + for row in results: + # Parse metadata from JSON string (may be double-encoded) + try: + if row[2]: + metadata = json.loads(row[2]) + + # If result is a string, it's double-encoded JSON - parse again + if isinstance(metadata, str): + metadata = json.loads(metadata) + + if not isinstance(metadata, dict): + metadata = {} + else: + metadata = {} + except (json.JSONDecodeError, TypeError) as e: + logger.error("JSON parsing failed: %s", e) + # Fallback: extract document_id with regex + import re + doc_id_match = re.search(r'"document_id":\s*"([^"]+)"', str(row[2] or '')) + metadata = {"document_id": doc_id_match.group(1)} if doc_id_match else {} + + # Ensure required fields are set + metadata["doc_id"] = row[0] # segment id + + # Ensure document_id exists (critical for Dify's format_retrieval_documents) + if "document_id" not in metadata: + metadata["document_id"] = row[0] # fallback to segment id + + # Add a relevance score for full-text search + metadata["score"] = 1.0 # Clickzetta doesn't provide relevance scores + doc = Document(page_content=row[1], metadata=metadata) + documents.append(doc) + except (RuntimeError, ValueError, TypeError, ConnectionError) as e: + logger.exception("Full-text search failed") + # Fallback to LIKE search if full-text search fails + return self._search_by_like(query, **kwargs) + + return documents + + def _search_by_like(self, query: str, **kwargs: Any) -> list[Document]: + """Fallback search using LIKE operator.""" + top_k = kwargs.get("top_k", 10) + document_ids_filter = kwargs.get("document_ids_filter") + + # Handle filter parameter from canvas (workflow) + filter_param = kwargs.get("filter", {}) + + # Build filter clause + filter_clauses = [] + if document_ids_filter: + safe_doc_ids = [str(id).replace("'", "''") for id in document_ids_filter] + doc_ids_str = ",".join(f"'{id}'" for id in safe_doc_ids) + # Use json_extract_string function for ClickZetta compatibility + filter_clauses.append( + f"json_extract_string({Field.METADATA_KEY.value}, '$.document_id') IN ({doc_ids_str})" + ) + + # No need for dataset_id filter since each dataset has its own table + + # Use simple quote escaping for LIKE clause + escaped_query = query.replace("'", "''") + filter_clauses.append(f"{Field.CONTENT_KEY.value} LIKE '%{escaped_query}%'") + where_clause = " AND ".join(filter_clauses) + + search_sql = f""" + SELECT id, {Field.CONTENT_KEY.value}, {Field.METADATA_KEY.value} + FROM {self._config.schema_name}.{self._table_name} + WHERE {where_clause} + LIMIT {top_k} + """ + + documents = [] + connection = self._ensure_connection() + with connection.cursor() as cursor: + # Use hints parameter for LIKE search optimization + like_hints = { + 'hints': { + 'sdk.job.timeout': 20, # Timeout for LIKE search + 'cz.sql.job.fast.mode': True + } + } + cursor.execute(search_sql, parameters=like_hints) + results = cursor.fetchall() + + for row in results: + # Parse metadata from JSON string (may be double-encoded) + try: + if row[2]: + metadata = json.loads(row[2]) + + # If result is a string, it's double-encoded JSON - parse again + if isinstance(metadata, str): + metadata = json.loads(metadata) + + if not isinstance(metadata, dict): + metadata = {} + else: + metadata = {} + except (json.JSONDecodeError, TypeError) as e: + logger.error("JSON parsing failed: %s", e) + # Fallback: extract document_id with regex + import re + doc_id_match = re.search(r'"document_id":\s*"([^"]+)"', str(row[2] or '')) + metadata = {"document_id": doc_id_match.group(1)} if doc_id_match else {} + + # Ensure required fields are set + metadata["doc_id"] = row[0] # segment id + + # Ensure document_id exists (critical for Dify's format_retrieval_documents) + if "document_id" not in metadata: + metadata["document_id"] = row[0] # fallback to segment id + + metadata["score"] = 0.5 # Lower score for LIKE search + doc = Document(page_content=row[1], metadata=metadata) + documents.append(doc) + + return documents + + def delete(self) -> None: + """Delete the entire collection.""" + connection = self._ensure_connection() + with connection.cursor() as cursor: + cursor.execute(f"DROP TABLE IF EXISTS {self._config.schema_name}.{self._table_name}") + + + def _format_vector_simple(self, vector: list[float]) -> str: + """Simple vector formatting for SQL queries.""" + return ','.join(map(str, vector)) + + def _safe_doc_id(self, doc_id: str) -> str: + """Ensure doc_id is safe for SQL and doesn't contain special characters.""" + if not doc_id: + return str(uuid.uuid4()) + # Remove or replace potentially problematic characters + safe_id = str(doc_id) + # Only allow alphanumeric, hyphens, underscores + safe_id = ''.join(c for c in safe_id if c.isalnum() or c in '-_') + if not safe_id: # If all characters were removed + return str(uuid.uuid4()) + return safe_id[:255] # Limit length + + + +class ClickzettaVectorFactory(AbstractVectorFactory): + """Factory for creating Clickzetta vector instances.""" + + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> BaseVector: + """Initialize a Clickzetta vector instance.""" + # Get configuration from environment variables or dataset config + config = ClickzettaConfig( + username=dify_config.CLICKZETTA_USERNAME or "", + password=dify_config.CLICKZETTA_PASSWORD or "", + instance=dify_config.CLICKZETTA_INSTANCE or "", + service=dify_config.CLICKZETTA_SERVICE or "api.clickzetta.com", + workspace=dify_config.CLICKZETTA_WORKSPACE or "quick_start", + vcluster=dify_config.CLICKZETTA_VCLUSTER or "default_ap", + schema_name=dify_config.CLICKZETTA_SCHEMA or "dify", + batch_size=dify_config.CLICKZETTA_BATCH_SIZE or 100, + enable_inverted_index=dify_config.CLICKZETTA_ENABLE_INVERTED_INDEX or True, + analyzer_type=dify_config.CLICKZETTA_ANALYZER_TYPE or "chinese", + analyzer_mode=dify_config.CLICKZETTA_ANALYZER_MODE or "smart", + vector_distance_function=dify_config.CLICKZETTA_VECTOR_DISTANCE_FUNCTION or "cosine_distance", + ) + + # Use dataset collection name as table name + collection_name = Dataset.gen_collection_name_by_id(dataset.id).lower() + + return ClickzettaVector(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 43c49ed4b3..eef03ce412 100644 --- a/api/core/rag/datasource/vdb/vector_factory.py +++ b/api/core/rag/datasource/vdb/vector_factory.py @@ -172,6 +172,10 @@ class Vector: from core.rag.datasource.vdb.matrixone.matrixone_vector import MatrixoneVectorFactory return MatrixoneVectorFactory + case VectorType.CLICKZETTA: + from core.rag.datasource.vdb.clickzetta.clickzetta_vector import ClickzettaVectorFactory + + return ClickzettaVectorFactory 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 0d70947b72..a415142196 100644 --- a/api/core/rag/datasource/vdb/vector_type.py +++ b/api/core/rag/datasource/vdb/vector_type.py @@ -30,3 +30,4 @@ class VectorType(StrEnum): TABLESTORE = "tablestore" HUAWEI_CLOUD = "huawei_cloud" MATRIXONE = "matrixone" + CLICKZETTA = "clickzetta" diff --git a/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py index 1639dd687f..a8fd6ec2cd 100644 --- a/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py +++ b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py @@ -37,12 +37,12 @@ class LocaltimeToTimestampTool(BuiltinTool): @staticmethod def localtime_to_timestamp(localtime: str, time_format: str, local_tz=None) -> int | None: try: - if local_tz is None: - local_tz = datetime.now().astimezone().tzinfo - if isinstance(local_tz, str): - local_tz = pytz.timezone(local_tz) local_time = datetime.strptime(localtime, time_format) - localtime = local_tz.localize(local_time) # type: ignore + if local_tz is None: + localtime = local_time.astimezone() # type: ignore + elif isinstance(local_tz, str): + local_tz = pytz.timezone(local_tz) + localtime = local_tz.localize(local_time) # type: ignore timestamp = int(localtime.timestamp()) # type: ignore return timestamp except Exception as e: diff --git a/api/core/tools/custom_tool/tool.py b/api/core/tools/custom_tool/tool.py index 333ef2834c..e112de9578 100644 --- a/api/core/tools/custom_tool/tool.py +++ b/api/core/tools/custom_tool/tool.py @@ -1,7 +1,8 @@ import json from collections.abc import Generator +from dataclasses import dataclass from os import getenv -from typing import Any, Optional +from typing import Any, Optional, Union from urllib.parse import urlencode import httpx @@ -20,6 +21,20 @@ API_TOOL_DEFAULT_TIMEOUT = ( ) +@dataclass +class ParsedResponse: + """Represents a parsed HTTP response with type information""" + + content: Union[str, dict] + is_json: bool + + def to_string(self) -> str: + """Convert response to string format for credential validation""" + if isinstance(self.content, dict): + return json.dumps(self.content, ensure_ascii=False) + return str(self.content) + + class ApiTool(Tool): """ Api tool @@ -58,7 +73,9 @@ class ApiTool(Tool): response = self.do_http_request(self.api_bundle.server_url, self.api_bundle.method, headers, parameters) # validate response - return self.validate_and_parse_response(response) + parsed_response = self.validate_and_parse_response(response) + # For credential validation, always return as string + return parsed_response.to_string() def tool_provider_type(self) -> ToolProviderType: return ToolProviderType.API @@ -112,23 +129,36 @@ class ApiTool(Tool): return headers - def validate_and_parse_response(self, response: httpx.Response) -> str: + def validate_and_parse_response(self, response: httpx.Response) -> ParsedResponse: """ - validate the response + validate the response and return parsed content with type information + + :return: ParsedResponse with content and is_json flag """ if isinstance(response, httpx.Response): if response.status_code >= 400: raise ToolInvokeError(f"Request failed with status code {response.status_code} and {response.text}") if not response.content: - return "Empty response from the tool, please check your parameters and try again." + return ParsedResponse( + "Empty response from the tool, please check your parameters and try again.", False + ) + + # Check content type + content_type = response.headers.get("content-type", "").lower() + is_json_content_type = "application/json" in content_type + + # Try to parse as JSON try: - response = response.json() - try: - return json.dumps(response, ensure_ascii=False) - except Exception: - return json.dumps(response) + json_response = response.json() + # If content-type indicates JSON, return as JSON object + if is_json_content_type: + return ParsedResponse(json_response, True) + else: + # If content-type doesn't indicate JSON, treat as text regardless of content + return ParsedResponse(response.text, False) except Exception: - return response.text + # Not valid JSON, return as text + return ParsedResponse(response.text, False) else: raise ValueError(f"Invalid response type {type(response)}") @@ -369,7 +399,14 @@ class ApiTool(Tool): response = self.do_http_request(self.api_bundle.server_url, self.api_bundle.method, headers, tool_parameters) # validate response - response = self.validate_and_parse_response(response) + parsed_response = self.validate_and_parse_response(response) - # assemble invoke message - yield self.create_text_message(response) + # assemble invoke message based on response type + if parsed_response.is_json and isinstance(parsed_response.content, dict): + yield self.create_json_message(parsed_response.content) + else: + # Convert to string if needed and create text message + text_response = ( + parsed_response.content if isinstance(parsed_response.content, str) else str(parsed_response.content) + ) + yield self.create_text_message(text_response) diff --git a/api/core/workflow/nodes/http_request/executor.py b/api/core/workflow/nodes/http_request/executor.py index 2106369bd6..e45f63bbec 100644 --- a/api/core/workflow/nodes/http_request/executor.py +++ b/api/core/workflow/nodes/http_request/executor.py @@ -91,7 +91,7 @@ class Executor: self.auth = node_data.authorization self.timeout = timeout self.ssl_verify = node_data.ssl_verify - self.params = [] + self.params = None self.headers = {} self.content = None self.files = None @@ -139,7 +139,8 @@ class Executor: (self.variable_pool.convert_template(key).text, self.variable_pool.convert_template(value_str).text) ) - self.params = result + if result: + self.params = result def _init_headers(self): """ diff --git a/api/extensions/ext_storage.py b/api/extensions/ext_storage.py index bd35278544..d13393dd14 100644 --- a/api/extensions/ext_storage.py +++ b/api/extensions/ext_storage.py @@ -69,6 +69,19 @@ class Storage: from extensions.storage.supabase_storage import SupabaseStorage return SupabaseStorage + case StorageType.CLICKZETTA_VOLUME: + from extensions.storage.clickzetta_volume.clickzetta_volume_storage import ( + ClickZettaVolumeConfig, + ClickZettaVolumeStorage, + ) + + def create_clickzetta_volume_storage(): + # ClickZettaVolumeConfig will automatically read from environment variables + # and fallback to CLICKZETTA_* config if CLICKZETTA_VOLUME_* is not set + volume_config = ClickZettaVolumeConfig() + return ClickZettaVolumeStorage(volume_config) + + return create_clickzetta_volume_storage case _: raise ValueError(f"unsupported storage type {storage_type}") diff --git a/api/extensions/storage/clickzetta_volume/__init__.py b/api/extensions/storage/clickzetta_volume/__init__.py new file mode 100644 index 0000000000..8a1588034b --- /dev/null +++ b/api/extensions/storage/clickzetta_volume/__init__.py @@ -0,0 +1,5 @@ +"""ClickZetta Volume storage implementation.""" + +from .clickzetta_volume_storage import ClickZettaVolumeStorage + +__all__ = ["ClickZettaVolumeStorage"] diff --git a/api/extensions/storage/clickzetta_volume/clickzetta_volume_storage.py b/api/extensions/storage/clickzetta_volume/clickzetta_volume_storage.py new file mode 100644 index 0000000000..09ab37f42e --- /dev/null +++ b/api/extensions/storage/clickzetta_volume/clickzetta_volume_storage.py @@ -0,0 +1,530 @@ +"""ClickZetta Volume Storage Implementation + +This module provides storage backend using ClickZetta Volume functionality. +Supports Table Volume, User Volume, and External Volume types. +""" + +import logging +import os +import tempfile +from collections.abc import Generator +from io import BytesIO +from pathlib import Path +from typing import Optional + +import clickzetta # type: ignore[import] +from pydantic import BaseModel, model_validator + +from extensions.storage.base_storage import BaseStorage + +from .volume_permissions import VolumePermissionManager, check_volume_permission + +logger = logging.getLogger(__name__) + + +class ClickZettaVolumeConfig(BaseModel): + """Configuration for ClickZetta Volume storage.""" + + username: str = "" + password: str = "" + instance: str = "" + service: str = "api.clickzetta.com" + workspace: str = "quick_start" + vcluster: str = "default_ap" + schema_name: str = "dify" + volume_type: str = "table" # table|user|external + volume_name: Optional[str] = None # For external volumes + table_prefix: str = "dataset_" # Prefix for table volume names + dify_prefix: str = "dify_km" # Directory prefix for User Volume + permission_check: bool = True # Enable/disable permission checking + + @model_validator(mode="before") + @classmethod + def validate_config(cls, values: dict) -> dict: + """Validate the configuration values. + + This method will first try to use CLICKZETTA_VOLUME_* environment variables, + then fall back to CLICKZETTA_* environment variables (for vector DB config). + """ + import os + + # Helper function to get environment variable with fallback + def get_env_with_fallback(volume_key: str, fallback_key: str, default: str | None = None) -> str: + # First try CLICKZETTA_VOLUME_* specific config + volume_value = values.get(volume_key.lower().replace("clickzetta_volume_", "")) + if volume_value: + return str(volume_value) + + # Then try environment variables + volume_env = os.getenv(volume_key) + if volume_env: + return volume_env + + # Fall back to existing CLICKZETTA_* config + fallback_env = os.getenv(fallback_key) + if fallback_env: + return fallback_env + + return default or "" + + # Apply environment variables with fallback to existing CLICKZETTA_* config + values.setdefault("username", get_env_with_fallback("CLICKZETTA_VOLUME_USERNAME", "CLICKZETTA_USERNAME")) + values.setdefault("password", get_env_with_fallback("CLICKZETTA_VOLUME_PASSWORD", "CLICKZETTA_PASSWORD")) + values.setdefault("instance", get_env_with_fallback("CLICKZETTA_VOLUME_INSTANCE", "CLICKZETTA_INSTANCE")) + values.setdefault( + "service", get_env_with_fallback("CLICKZETTA_VOLUME_SERVICE", "CLICKZETTA_SERVICE", "api.clickzetta.com") + ) + values.setdefault( + "workspace", get_env_with_fallback("CLICKZETTA_VOLUME_WORKSPACE", "CLICKZETTA_WORKSPACE", "quick_start") + ) + values.setdefault( + "vcluster", get_env_with_fallback("CLICKZETTA_VOLUME_VCLUSTER", "CLICKZETTA_VCLUSTER", "default_ap") + ) + values.setdefault("schema_name", get_env_with_fallback("CLICKZETTA_VOLUME_SCHEMA", "CLICKZETTA_SCHEMA", "dify")) + + # Volume-specific configurations (no fallback to vector DB config) + values.setdefault("volume_type", os.getenv("CLICKZETTA_VOLUME_TYPE", "table")) + values.setdefault("volume_name", os.getenv("CLICKZETTA_VOLUME_NAME")) + values.setdefault("table_prefix", os.getenv("CLICKZETTA_VOLUME_TABLE_PREFIX", "dataset_")) + values.setdefault("dify_prefix", os.getenv("CLICKZETTA_VOLUME_DIFY_PREFIX", "dify_km")) + # 暂时禁用权限检查功能，直接设置为false + values.setdefault("permission_check", False) + + # Validate required fields + if not values.get("username"): + raise ValueError("CLICKZETTA_VOLUME_USERNAME or CLICKZETTA_USERNAME is required") + if not values.get("password"): + raise ValueError("CLICKZETTA_VOLUME_PASSWORD or CLICKZETTA_PASSWORD is required") + if not values.get("instance"): + raise ValueError("CLICKZETTA_VOLUME_INSTANCE or CLICKZETTA_INSTANCE is required") + + # Validate volume type + volume_type = values["volume_type"] + if volume_type not in ["table", "user", "external"]: + raise ValueError("CLICKZETTA_VOLUME_TYPE must be one of: table, user, external") + + if volume_type == "external" and not values.get("volume_name"): + raise ValueError("CLICKZETTA_VOLUME_NAME is required for external volume type") + + return values + + +class ClickZettaVolumeStorage(BaseStorage): + """ClickZetta Volume storage implementation.""" + + def __init__(self, config: ClickZettaVolumeConfig): + """Initialize ClickZetta Volume storage. + + Args: + config: ClickZetta Volume configuration + """ + self._config = config + self._connection = None + self._permission_manager: VolumePermissionManager | None = None + self._init_connection() + self._init_permission_manager() + + logger.info("ClickZetta Volume storage initialized with type: %s", config.volume_type) + + def _init_connection(self): + """Initialize ClickZetta connection.""" + try: + self._connection = clickzetta.connect( + username=self._config.username, + password=self._config.password, + instance=self._config.instance, + service=self._config.service, + workspace=self._config.workspace, + vcluster=self._config.vcluster, + schema=self._config.schema_name, + ) + logger.debug("ClickZetta connection established") + except Exception as e: + logger.exception("Failed to connect to ClickZetta") + raise + + def _init_permission_manager(self): + """Initialize permission manager.""" + try: + self._permission_manager = VolumePermissionManager( + self._connection, self._config.volume_type, self._config.volume_name + ) + logger.debug("Permission manager initialized") + except Exception as e: + logger.exception("Failed to initialize permission manager") + raise + + def _get_volume_path(self, filename: str, dataset_id: Optional[str] = None) -> str: + """Get the appropriate volume path based on volume type.""" + if self._config.volume_type == "user": + # Add dify prefix for User Volume to organize files + return f"{self._config.dify_prefix}/{filename}" + elif self._config.volume_type == "table": + # Check if this should use User Volume (special directories) + if dataset_id in ["upload_files", "temp", "cache", "tools", "website_files", "privkeys"]: + # Use User Volume with dify prefix for special directories + return f"{self._config.dify_prefix}/{filename}" + + if dataset_id: + return f"{self._config.table_prefix}{dataset_id}/{filename}" + else: + # Extract dataset_id from filename if not provided + # Format: dataset_id/filename + if "/" in filename: + return filename + else: + raise ValueError("dataset_id is required for table volume or filename must include dataset_id/") + elif self._config.volume_type == "external": + return filename + else: + raise ValueError(f"Unsupported volume type: {self._config.volume_type}") + + def _get_volume_sql_prefix(self, dataset_id: Optional[str] = None) -> str: + """Get SQL prefix for volume operations.""" + if self._config.volume_type == "user": + return "USER VOLUME" + elif self._config.volume_type == "table": + # For Dify's current file storage pattern, most files are stored in + # paths like "upload_files/tenant_id/uuid.ext", "tools/tenant_id/uuid.ext" + # These should use USER VOLUME for better compatibility + if dataset_id in ["upload_files", "temp", "cache", "tools", "website_files", "privkeys"]: + return "USER VOLUME" + + # Only use TABLE VOLUME for actual dataset-specific paths + # like "dataset_12345/file.pdf" or paths with dataset_ prefix + if dataset_id: + table_name = f"{self._config.table_prefix}{dataset_id}" + else: + # Default table name for generic operations + table_name = "default_dataset" + return f"TABLE VOLUME {table_name}" + elif self._config.volume_type == "external": + return f"VOLUME {self._config.volume_name}" + else: + raise ValueError(f"Unsupported volume type: {self._config.volume_type}") + + def _execute_sql(self, sql: str, fetch: bool = False): + """Execute SQL command.""" + try: + if self._connection is None: + raise RuntimeError("Connection not initialized") + with self._connection.cursor() as cursor: + cursor.execute(sql) + if fetch: + return cursor.fetchall() + return None + except Exception as e: + logger.exception("SQL execution failed: %s", sql) + raise + + def _ensure_table_volume_exists(self, dataset_id: str) -> None: + """Ensure table volume exists for the given dataset_id.""" + if self._config.volume_type != "table" or not dataset_id: + return + + # Skip for upload_files and other special directories that use USER VOLUME + if dataset_id in ["upload_files", "temp", "cache", "tools", "website_files", "privkeys"]: + return + + table_name = f"{self._config.table_prefix}{dataset_id}" + + try: + # Check if table exists + check_sql = f"SHOW TABLES LIKE '{table_name}'" + result = self._execute_sql(check_sql, fetch=True) + + if not result: + # Create table with volume + create_sql = f""" + CREATE TABLE {table_name} ( + id INT PRIMARY KEY AUTO_INCREMENT, + filename VARCHAR(255) NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + INDEX idx_filename (filename) + ) WITH VOLUME + """ + self._execute_sql(create_sql) + logger.info("Created table volume: %s", table_name) + + except Exception as e: + logger.warning("Failed to create table volume %s: %s", table_name, e) + # Don't raise exception, let the operation continue + # The table might exist but not be visible due to permissions + + def save(self, filename: str, data: bytes) -> None: + """Save data to ClickZetta Volume. + + Args: + filename: File path in volume + data: File content as bytes + """ + # Extract dataset_id from filename if present + dataset_id = None + if "/" in filename and self._config.volume_type == "table": + parts = filename.split("/", 1) + if parts[0].startswith(self._config.table_prefix): + dataset_id = parts[0][len(self._config.table_prefix) :] + filename = parts[1] + else: + dataset_id = parts[0] + filename = parts[1] + + # Ensure table volume exists (for table volumes) + if dataset_id: + self._ensure_table_volume_exists(dataset_id) + + # Check permissions (if enabled) + if self._config.permission_check: + # Skip permission check for special directories that use USER VOLUME + if dataset_id not in ["upload_files", "temp", "cache", "tools", "website_files", "privkeys"]: + if self._permission_manager is not None: + check_volume_permission(self._permission_manager, "save", dataset_id) + + # Write data to temporary file + with tempfile.NamedTemporaryFile(delete=False) as temp_file: + temp_file.write(data) + temp_file_path = temp_file.name + + try: + # Upload to volume + volume_prefix = self._get_volume_sql_prefix(dataset_id) + + # Get the actual volume path (may include dify_km prefix) + volume_path = self._get_volume_path(filename, dataset_id) + actual_filename = volume_path.split("/")[-1] if "/" in volume_path else volume_path + + # For User Volume, use the full path with dify_km prefix + if volume_prefix == "USER VOLUME": + sql = f"PUT '{temp_file_path}' TO {volume_prefix} FILE '{volume_path}'" + else: + sql = f"PUT '{temp_file_path}' TO {volume_prefix} FILE '{filename}'" + + self._execute_sql(sql) + logger.debug("File %s saved to ClickZetta Volume at path %s", filename, volume_path) + finally: + # Clean up temporary file + Path(temp_file_path).unlink(missing_ok=True) + + def load_once(self, filename: str) -> bytes: + """Load file content from ClickZetta Volume. + + Args: + filename: File path in volume + + Returns: + File content as bytes + """ + # Extract dataset_id from filename if present + dataset_id = None + if "/" in filename and self._config.volume_type == "table": + parts = filename.split("/", 1) + if parts[0].startswith(self._config.table_prefix): + dataset_id = parts[0][len(self._config.table_prefix) :] + filename = parts[1] + else: + dataset_id = parts[0] + filename = parts[1] + + # Check permissions (if enabled) + if self._config.permission_check: + # Skip permission check for special directories that use USER VOLUME + if dataset_id not in ["upload_files", "temp", "cache", "tools", "website_files", "privkeys"]: + if self._permission_manager is not None: + check_volume_permission(self._permission_manager, "load_once", dataset_id) + + # Download to temporary directory + with tempfile.TemporaryDirectory() as temp_dir: + volume_prefix = self._get_volume_sql_prefix(dataset_id) + + # Get the actual volume path (may include dify_km prefix) + volume_path = self._get_volume_path(filename, dataset_id) + + # For User Volume, use the full path with dify_km prefix + if volume_prefix == "USER VOLUME": + sql = f"GET {volume_prefix} FILE '{volume_path}' TO '{temp_dir}'" + else: + sql = f"GET {volume_prefix} FILE '{filename}' TO '{temp_dir}'" + + self._execute_sql(sql) + + # Find the downloaded file (may be in subdirectories) + downloaded_file = None + for root, dirs, files in os.walk(temp_dir): + for file in files: + if file == filename or file == os.path.basename(filename): + downloaded_file = Path(root) / file + break + if downloaded_file: + break + + if not downloaded_file or not downloaded_file.exists(): + raise FileNotFoundError(f"Downloaded file not found: {filename}") + + content = downloaded_file.read_bytes() + + logger.debug("File %s loaded from ClickZetta Volume", filename) + return content + + def load_stream(self, filename: str) -> Generator: + """Load file as stream from ClickZetta Volume. + + Args: + filename: File path in volume + + Yields: + File content chunks + """ + content = self.load_once(filename) + batch_size = 4096 + stream = BytesIO(content) + + while chunk := stream.read(batch_size): + yield chunk + + logger.debug("File %s loaded as stream from ClickZetta Volume", filename) + + def download(self, filename: str, target_filepath: str): + """Download file from ClickZetta Volume to local path. + + Args: + filename: File path in volume + target_filepath: Local target file path + """ + content = self.load_once(filename) + + with Path(target_filepath).open("wb") as f: + f.write(content) + + logger.debug("File %s downloaded from ClickZetta Volume to %s", filename, target_filepath) + + def exists(self, filename: str) -> bool: + """Check if file exists in ClickZetta Volume. + + Args: + filename: File path in volume + + Returns: + True if file exists, False otherwise + """ + try: + # Extract dataset_id from filename if present + dataset_id = None + if "/" in filename and self._config.volume_type == "table": + parts = filename.split("/", 1) + if parts[0].startswith(self._config.table_prefix): + dataset_id = parts[0][len(self._config.table_prefix) :] + filename = parts[1] + else: + dataset_id = parts[0] + filename = parts[1] + + volume_prefix = self._get_volume_sql_prefix(dataset_id) + + # Get the actual volume path (may include dify_km prefix) + volume_path = self._get_volume_path(filename, dataset_id) + + # For User Volume, use the full path with dify_km prefix + if volume_prefix == "USER VOLUME": + sql = f"LIST {volume_prefix} REGEXP = '^{volume_path}$'" + else: + sql = f"LIST {volume_prefix} REGEXP = '^{filename}$'" + + rows = self._execute_sql(sql, fetch=True) + + exists = len(rows) > 0 + logger.debug("File %s exists check: %s", filename, exists) + return exists + except Exception as e: + logger.warning("Error checking file existence for %s: %s", filename, e) + return False + + def delete(self, filename: str): + """Delete file from ClickZetta Volume. + + Args: + filename: File path in volume + """ + if not self.exists(filename): + logger.debug("File %s not found, skip delete", filename) + return + + # Extract dataset_id from filename if present + dataset_id = None + if "/" in filename and self._config.volume_type == "table": + parts = filename.split("/", 1) + if parts[0].startswith(self._config.table_prefix): + dataset_id = parts[0][len(self._config.table_prefix) :] + filename = parts[1] + else: + dataset_id = parts[0] + filename = parts[1] + + volume_prefix = self._get_volume_sql_prefix(dataset_id) + + # Get the actual volume path (may include dify_km prefix) + volume_path = self._get_volume_path(filename, dataset_id) + + # For User Volume, use the full path with dify_km prefix + if volume_prefix == "USER VOLUME": + sql = f"REMOVE {volume_prefix} FILE '{volume_path}'" + else: + sql = f"REMOVE {volume_prefix} FILE '{filename}'" + + self._execute_sql(sql) + + logger.debug("File %s deleted from ClickZetta Volume", filename) + + def scan(self, path: str, files: bool = True, directories: bool = False) -> list[str]: + """Scan files and directories in ClickZetta Volume. + + Args: + path: Path to scan (dataset_id for table volumes) + files: Include files in results + directories: Include directories in results + + Returns: + List of file/directory paths + """ + try: + # For table volumes, path is treated as dataset_id + dataset_id = None + if self._config.volume_type == "table": + dataset_id = path + path = "" # Root of the table volume + + volume_prefix = self._get_volume_sql_prefix(dataset_id) + + # For User Volume, add dify prefix to path + if volume_prefix == "USER VOLUME": + if path: + scan_path = f"{self._config.dify_prefix}/{path}" + sql = f"LIST {volume_prefix} SUBDIRECTORY '{scan_path}'" + else: + sql = f"LIST {volume_prefix} SUBDIRECTORY '{self._config.dify_prefix}'" + else: + if path: + sql = f"LIST {volume_prefix} SUBDIRECTORY '{path}'" + else: + sql = f"LIST {volume_prefix}" + + rows = self._execute_sql(sql, fetch=True) + + result = [] + for row in rows: + file_path = row[0] # relative_path column + + # For User Volume, remove dify prefix from results + dify_prefix_with_slash = f"{self._config.dify_prefix}/" + if volume_prefix == "USER VOLUME" and file_path.startswith(dify_prefix_with_slash): + file_path = file_path[len(dify_prefix_with_slash) :] # Remove prefix + + if files and not file_path.endswith("/") or directories and file_path.endswith("/"): + result.append(file_path) + + logger.debug("Scanned %d items in path %s", len(result), path) + return result + + except Exception as e: + logger.exception("Error scanning path %s", path) + return [] diff --git a/api/extensions/storage/clickzetta_volume/file_lifecycle.py b/api/extensions/storage/clickzetta_volume/file_lifecycle.py new file mode 100644 index 0000000000..d5d04f121b --- /dev/null +++ b/api/extensions/storage/clickzetta_volume/file_lifecycle.py @@ -0,0 +1,516 @@ +"""ClickZetta Volume文件生命周期管理 + +该模块提供文件版本控制、自动清理、备份和恢复等生命周期管理功能。 +支持知识库文件的完整生命周期管理。 +""" + +import json +import logging +from dataclasses import asdict, dataclass +from datetime import datetime, timedelta +from enum import Enum +from typing import Any, Optional + +logger = logging.getLogger(__name__) + + +class FileStatus(Enum): + """文件状态枚举""" + + ACTIVE = "active" # 活跃状态 + ARCHIVED = "archived" # 已归档 + DELETED = "deleted" # 已删除（软删除） + BACKUP = "backup" # 备份文件 + + +@dataclass +class FileMetadata: + """文件元数据""" + + filename: str + size: int | None + created_at: datetime + modified_at: datetime + version: int | None + status: FileStatus + checksum: Optional[str] = None + tags: Optional[dict[str, str]] = None + parent_version: Optional[int] = None + + def to_dict(self) -> dict: + """转换为字典格式""" + data = asdict(self) + data["created_at"] = self.created_at.isoformat() + data["modified_at"] = self.modified_at.isoformat() + data["status"] = self.status.value + return data + + @classmethod + def from_dict(cls, data: dict) -> "FileMetadata": + """从字典创建实例""" + data = data.copy() + data["created_at"] = datetime.fromisoformat(data["created_at"]) + data["modified_at"] = datetime.fromisoformat(data["modified_at"]) + data["status"] = FileStatus(data["status"]) + return cls(**data) + + +class FileLifecycleManager: + """文件生命周期管理器""" + + def __init__(self, storage, dataset_id: Optional[str] = None): + """初始化生命周期管理器 + + Args: + storage: ClickZetta Volume存储实例 + dataset_id: 数据集ID（用于Table Volume） + """ + self._storage = storage + self._dataset_id = dataset_id + self._metadata_file = ".dify_file_metadata.json" + self._version_prefix = ".versions/" + self._backup_prefix = ".backups/" + self._deleted_prefix = ".deleted/" + + # 获取权限管理器（如果存在） + self._permission_manager: Optional[Any] = getattr(storage, "_permission_manager", None) + + def save_with_lifecycle(self, filename: str, data: bytes, tags: Optional[dict[str, str]] = None) -> FileMetadata: + """保存文件并管理生命周期 + + Args: + filename: 文件名 + data: 文件内容 + tags: 文件标签 + + Returns: + 文件元数据 + """ + # 权限检查 + if not self._check_permission(filename, "save"): + from .volume_permissions import VolumePermissionError + + raise VolumePermissionError( + f"Permission denied for lifecycle save operation on file: {filename}", + operation="save", + volume_type=getattr(self._storage, "_config", {}).get("volume_type", "unknown"), + dataset_id=self._dataset_id, + ) + + try: + # 1. 检查是否存在旧版本 + metadata_dict = self._load_metadata() + current_metadata = metadata_dict.get(filename) + + # 2. 如果存在旧版本，创建版本备份 + if current_metadata: + self._create_version_backup(filename, current_metadata) + + # 3. 计算文件信息 + now = datetime.now() + checksum = self._calculate_checksum(data) + new_version = (current_metadata["version"] + 1) if current_metadata else 1 + + # 4. 保存新文件 + self._storage.save(filename, data) + + # 5. 创建元数据 + created_at = now + parent_version = None + + if current_metadata: + # 如果created_at是字符串，转换为datetime + if isinstance(current_metadata["created_at"], str): + created_at = datetime.fromisoformat(current_metadata["created_at"]) + else: + created_at = current_metadata["created_at"] + parent_version = current_metadata["version"] + + file_metadata = FileMetadata( + filename=filename, + size=len(data), + created_at=created_at, + modified_at=now, + version=new_version, + status=FileStatus.ACTIVE, + checksum=checksum, + tags=tags or {}, + parent_version=parent_version, + ) + + # 6. 更新元数据 + metadata_dict[filename] = file_metadata.to_dict() + self._save_metadata(metadata_dict) + + logger.info("File %s saved with lifecycle management, version %s", filename, new_version) + return file_metadata + + except Exception as e: + logger.exception("Failed to save file with lifecycle") + raise + + def get_file_metadata(self, filename: str) -> Optional[FileMetadata]: + """获取文件元数据 + + Args: + filename: 文件名 + + Returns: + 文件元数据，如果不存在返回None + """ + try: + metadata_dict = self._load_metadata() + if filename in metadata_dict: + return FileMetadata.from_dict(metadata_dict[filename]) + return None + except Exception as e: + logger.exception("Failed to get file metadata for %s", filename) + return None + + def list_file_versions(self, filename: str) -> list[FileMetadata]: + """列出文件的所有版本 + + Args: + filename: 文件名 + + Returns: + 文件版本列表，按版本号排序 + """ + try: + versions = [] + + # 获取当前版本 + current_metadata = self.get_file_metadata(filename) + if current_metadata: + versions.append(current_metadata) + + # 获取历史版本 + version_pattern = f"{self._version_prefix}{filename}.v*" + try: + version_files = self._storage.scan(self._dataset_id or "", files=True) + for file_path in version_files: + if file_path.startswith(f"{self._version_prefix}{filename}.v"): + # 解析版本号 + version_str = file_path.split(".v")[-1].split(".")[0] + try: + version_num = int(version_str) + # 这里简化处理，实际应该从版本文件中读取元数据 + # 暂时创建基本的元数据信息 + except ValueError: + continue + except: + # 如果无法扫描版本文件，只返回当前版本 + pass + + return sorted(versions, key=lambda x: x.version or 0, reverse=True) + + except Exception as e: + logger.exception("Failed to list file versions for %s", filename) + return [] + + def restore_version(self, filename: str, version: int) -> bool: + """恢复文件到指定版本 + + Args: + filename: 文件名 + version: 要恢复的版本号 + + Returns: + 恢复是否成功 + """ + try: + version_filename = f"{self._version_prefix}{filename}.v{version}" + + # 检查版本文件是否存在 + if not self._storage.exists(version_filename): + logger.warning("Version %s of %s not found", version, filename) + return False + + # 读取版本文件内容 + version_data = self._storage.load_once(version_filename) + + # 保存当前版本为备份 + current_metadata = self.get_file_metadata(filename) + if current_metadata: + self._create_version_backup(filename, current_metadata.to_dict()) + + # 恢复文件 + self.save_with_lifecycle(filename, version_data, {"restored_from": str(version)}) + return True + + except Exception as e: + logger.exception("Failed to restore %s to version %s", filename, version) + return False + + def archive_file(self, filename: str) -> bool: + """归档文件 + + Args: + filename: 文件名 + + Returns: + 归档是否成功 + """ + # 权限检查 + if not self._check_permission(filename, "archive"): + logger.warning("Permission denied for archive operation on file: %s", filename) + return False + + try: + # 更新文件状态为归档 + metadata_dict = self._load_metadata() + if filename not in metadata_dict: + logger.warning("File %s not found in metadata", filename) + return False + + metadata_dict[filename]["status"] = FileStatus.ARCHIVED.value + metadata_dict[filename]["modified_at"] = datetime.now().isoformat() + + self._save_metadata(metadata_dict) + + logger.info("File %s archived successfully", filename) + return True + + except Exception as e: + logger.exception("Failed to archive file %s", filename) + return False + + def soft_delete_file(self, filename: str) -> bool: + """软删除文件（移动到删除目录） + + Args: + filename: 文件名 + + Returns: + 删除是否成功 + """ + # 权限检查 + if not self._check_permission(filename, "delete"): + logger.warning("Permission denied for soft delete operation on file: %s", filename) + return False + + try: + # 检查文件是否存在 + if not self._storage.exists(filename): + logger.warning("File %s not found", filename) + return False + + # 读取文件内容 + file_data = self._storage.load_once(filename) + + # 移动到删除目录 + deleted_filename = f"{self._deleted_prefix}{filename}.{datetime.now().strftime('%Y%m%d_%H%M%S')}" + self._storage.save(deleted_filename, file_data) + + # 删除原文件 + self._storage.delete(filename) + + # 更新元数据 + metadata_dict = self._load_metadata() + if filename in metadata_dict: + metadata_dict[filename]["status"] = FileStatus.DELETED.value + metadata_dict[filename]["modified_at"] = datetime.now().isoformat() + self._save_metadata(metadata_dict) + + logger.info("File %s soft deleted successfully", filename) + return True + + except Exception as e: + logger.exception("Failed to soft delete file %s", filename) + return False + + def cleanup_old_versions(self, max_versions: int = 5, max_age_days: int = 30) -> int: + """清理旧版本文件 + + Args: + max_versions: 保留的最大版本数 + max_age_days: 版本文件的最大保留天数 + + Returns: + 清理的文件数量 + """ + try: + cleaned_count = 0 + cutoff_date = datetime.now() - timedelta(days=max_age_days) + + # 获取所有版本文件 + try: + all_files = self._storage.scan(self._dataset_id or "", files=True) + version_files = [f for f in all_files if f.startswith(self._version_prefix)] + + # 按文件分组 + file_versions: dict[str, list[tuple[int, str]]] = {} + for version_file in version_files: + # 解析文件名和版本 + parts = version_file[len(self._version_prefix) :].split(".v") + if len(parts) >= 2: + base_filename = parts[0] + version_part = parts[1].split(".")[0] + try: + version_num = int(version_part) + if base_filename not in file_versions: + file_versions[base_filename] = [] + file_versions[base_filename].append((version_num, version_file)) + except ValueError: + continue + + # 清理每个文件的旧版本 + for base_filename, versions in file_versions.items(): + # 按版本号排序 + versions.sort(key=lambda x: x[0], reverse=True) + + # 保留最新的max_versions个版本，删除其余的 + if len(versions) > max_versions: + to_delete = versions[max_versions:] + for version_num, version_file in to_delete: + self._storage.delete(version_file) + cleaned_count += 1 + logger.debug("Cleaned old version: %s", version_file) + + logger.info("Cleaned %d old version files", cleaned_count) + + except Exception as e: + logger.warning("Could not scan for version files: %s", e) + + return cleaned_count + + except Exception as e: + logger.exception("Failed to cleanup old versions") + return 0 + + def get_storage_statistics(self) -> dict[str, Any]: + """获取存储统计信息 + + Returns: + 存储统计字典 + """ + try: + metadata_dict = self._load_metadata() + + stats: dict[str, Any] = { + "total_files": len(metadata_dict), + "active_files": 0, + "archived_files": 0, + "deleted_files": 0, + "total_size": 0, + "versions_count": 0, + "oldest_file": None, + "newest_file": None, + } + + oldest_date = None + newest_date = None + + for filename, metadata in metadata_dict.items(): + file_meta = FileMetadata.from_dict(metadata) + + # 统计文件状态 + if file_meta.status == FileStatus.ACTIVE: + stats["active_files"] = (stats["active_files"] or 0) + 1 + elif file_meta.status == FileStatus.ARCHIVED: + stats["archived_files"] = (stats["archived_files"] or 0) + 1 + elif file_meta.status == FileStatus.DELETED: + stats["deleted_files"] = (stats["deleted_files"] or 0) + 1 + + # 统计大小 + stats["total_size"] = (stats["total_size"] or 0) + (file_meta.size or 0) + + # 统计版本 + stats["versions_count"] = (stats["versions_count"] or 0) + (file_meta.version or 0) + + # 找出最新和最旧的文件 + if oldest_date is None or file_meta.created_at < oldest_date: + oldest_date = file_meta.created_at + stats["oldest_file"] = filename + + if newest_date is None or file_meta.modified_at > newest_date: + newest_date = file_meta.modified_at + stats["newest_file"] = filename + + return stats + + except Exception as e: + logger.exception("Failed to get storage statistics") + return {} + + def _create_version_backup(self, filename: str, metadata: dict): + """创建版本备份""" + try: + # 读取当前文件内容 + current_data = self._storage.load_once(filename) + + # 保存为版本文件 + version_filename = f"{self._version_prefix}{filename}.v{metadata['version']}" + self._storage.save(version_filename, current_data) + + logger.debug("Created version backup: %s", version_filename) + + except Exception as e: + logger.warning("Failed to create version backup for %s: %s", filename, e) + + def _load_metadata(self) -> dict[str, Any]: + """加载元数据文件""" + try: + if self._storage.exists(self._metadata_file): + metadata_content = self._storage.load_once(self._metadata_file) + result = json.loads(metadata_content.decode("utf-8")) + return dict(result) if result else {} + else: + return {} + except Exception as e: + logger.warning("Failed to load metadata: %s", e) + return {} + + def _save_metadata(self, metadata_dict: dict): + """保存元数据文件""" + try: + metadata_content = json.dumps(metadata_dict, indent=2, ensure_ascii=False) + self._storage.save(self._metadata_file, metadata_content.encode("utf-8")) + logger.debug("Metadata saved successfully") + except Exception as e: + logger.exception("Failed to save metadata") + raise + + def _calculate_checksum(self, data: bytes) -> str: + """计算文件校验和""" + import hashlib + + return hashlib.md5(data).hexdigest() + + def _check_permission(self, filename: str, operation: str) -> bool: + """检查文件操作权限 + + Args: + filename: 文件名 + operation: 操作类型 + + Returns: + True if permission granted, False otherwise + """ + # 如果没有权限管理器，默认允许 + if not self._permission_manager: + return True + + try: + # 根据操作类型映射到权限 + operation_mapping = { + "save": "save", + "load": "load_once", + "delete": "delete", + "archive": "delete", # 归档需要删除权限 + "restore": "save", # 恢复需要写权限 + "cleanup": "delete", # 清理需要删除权限 + "read": "load_once", + "write": "save", + } + + mapped_operation = operation_mapping.get(operation, operation) + + # 检查权限 + result = self._permission_manager.validate_operation(mapped_operation, self._dataset_id) + return bool(result) + + except Exception as e: + logger.exception("Permission check failed for %s operation %s", filename, operation) + # 安全默认：权限检查失败时拒绝访问 + return False diff --git a/api/extensions/storage/clickzetta_volume/volume_permissions.py b/api/extensions/storage/clickzetta_volume/volume_permissions.py new file mode 100644 index 0000000000..4801df5102 --- /dev/null +++ b/api/extensions/storage/clickzetta_volume/volume_permissions.py @@ -0,0 +1,646 @@ +"""ClickZetta Volume权限管理机制 + +该模块提供Volume权限检查、验证和管理功能。 +根据ClickZetta的权限模型，不同Volume类型有不同的权限要求。 +""" + +import logging +from enum import Enum +from typing import Optional + +logger = logging.getLogger(__name__) + + +class VolumePermission(Enum): + """Volume权限类型枚举""" + + READ = "SELECT" # 对应ClickZetta的SELECT权限 + WRITE = "INSERT,UPDATE,DELETE" # 对应ClickZetta的写权限 + LIST = "SELECT" # 列出文件需要SELECT权限 + DELETE = "INSERT,UPDATE,DELETE" # 删除文件需要写权限 + USAGE = "USAGE" # External Volume需要的基本权限 + + +class VolumePermissionManager: + """Volume权限管理器""" + + def __init__(self, connection_or_config, volume_type: str | None = None, volume_name: Optional[str] = None): + """初始化权限管理器 + + Args: + connection_or_config: ClickZetta连接对象或配置字典 + volume_type: Volume类型 (user|table|external) + volume_name: Volume名称 (用于external volume) + """ + # 支持两种初始化方式：连接对象或配置字典 + if isinstance(connection_or_config, dict): + # 从配置字典创建连接 + import clickzetta # type: ignore[import-untyped] + + config = connection_or_config + self._connection = clickzetta.connect( + username=config.get("username"), + password=config.get("password"), + instance=config.get("instance"), + service=config.get("service"), + workspace=config.get("workspace"), + vcluster=config.get("vcluster"), + schema=config.get("schema") or config.get("database"), + ) + self._volume_type = config.get("volume_type", volume_type) + self._volume_name = config.get("volume_name", volume_name) + else: + # 直接使用连接对象 + self._connection = connection_or_config + self._volume_type = volume_type + self._volume_name = volume_name + + if not self._connection: + raise ValueError("Valid connection or config is required") + if not self._volume_type: + raise ValueError("volume_type is required") + + self._permission_cache: dict[str, set[str]] = {} + self._current_username = None # 将从连接中获取当前用户名 + + def check_permission(self, operation: VolumePermission, dataset_id: Optional[str] = None) -> bool: + """检查用户是否有执行特定操作的权限 + + Args: + operation: 要执行的操作类型 + dataset_id: 数据集ID (用于table volume) + + Returns: + True if user has permission, False otherwise + """ + try: + if self._volume_type == "user": + return self._check_user_volume_permission(operation) + elif self._volume_type == "table": + return self._check_table_volume_permission(operation, dataset_id) + elif self._volume_type == "external": + return self._check_external_volume_permission(operation) + else: + logger.warning("Unknown volume type: %s", self._volume_type) + return False + + except Exception as e: + logger.exception("Permission check failed") + return False + + def _check_user_volume_permission(self, operation: VolumePermission) -> bool: + """检查User Volume权限 + + User Volume权限规则: + - 用户对自己的User Volume有全部权限 + - 只要用户能够连接到ClickZetta，就默认具有User Volume的基本权限 + - 更注重连接身份验证，而不是复杂的权限检查 + """ + try: + # 获取当前用户名 + current_user = self._get_current_username() + + # 检查基本连接状态 + with self._connection.cursor() as cursor: + # 简单的连接测试，如果能执行查询说明用户有基本权限 + cursor.execute("SELECT 1") + result = cursor.fetchone() + + if result: + logger.debug( + "User Volume permission check for %s, operation %s: granted (basic connection verified)", + current_user, + operation.name, + ) + return True + else: + logger.warning( + "User Volume permission check failed: cannot verify basic connection for %s", current_user + ) + return False + + except Exception as e: + logger.exception("User Volume permission check failed") + # 对于User Volume，如果权限检查失败，可能是配置问题，给出更友好的错误提示 + logger.info("User Volume permission check failed, but permission checking is disabled in this version") + return False + + def _check_table_volume_permission(self, operation: VolumePermission, dataset_id: Optional[str]) -> bool: + """检查Table Volume权限 + + Table Volume权限规则: + - Table Volume权限继承对应表的权限 + - SELECT权限 -> 可以READ/LIST文件 + - INSERT,UPDATE,DELETE权限 -> 可以WRITE/DELETE文件 + """ + if not dataset_id: + logger.warning("dataset_id is required for table volume permission check") + return False + + table_name = f"dataset_{dataset_id}" if not dataset_id.startswith("dataset_") else dataset_id + + try: + # 检查表权限 + permissions = self._get_table_permissions(table_name) + required_permissions = set(operation.value.split(",")) + + # 检查是否有所需的所有权限 + has_permission = required_permissions.issubset(permissions) + + logger.debug( + "Table Volume permission check for %s, operation %s: required=%s, has=%s, granted=%s", + table_name, + operation.name, + required_permissions, + permissions, + has_permission, + ) + + return has_permission + + except Exception as e: + logger.exception("Table volume permission check failed for %s", table_name) + return False + + def _check_external_volume_permission(self, operation: VolumePermission) -> bool: + """检查External Volume权限 + + External Volume权限规则: + - 尝试获取对External Volume的权限 + - 如果权限检查失败，进行备选验证 + - 对于开发环境，提供更宽松的权限检查 + """ + if not self._volume_name: + logger.warning("volume_name is required for external volume permission check") + return False + + try: + # 检查External Volume权限 + permissions = self._get_external_volume_permissions(self._volume_name) + + # External Volume权限映射：根据操作类型确定所需权限 + required_permissions = set() + + if operation in [VolumePermission.READ, VolumePermission.LIST]: + required_permissions.add("read") + elif operation in [VolumePermission.WRITE, VolumePermission.DELETE]: + required_permissions.add("write") + + # 检查是否有所需的所有权限 + has_permission = required_permissions.issubset(permissions) + + logger.debug( + "External Volume permission check for %s, operation %s: required=%s, has=%s, granted=%s", + self._volume_name, + operation.name, + required_permissions, + permissions, + has_permission, + ) + + # 如果权限检查失败，尝试备选验证 + if not has_permission: + logger.info("Direct permission check failed for %s, trying fallback verification", self._volume_name) + + # 备选验证：尝试列出Volume来验证基本访问权限 + try: + with self._connection.cursor() as cursor: + cursor.execute("SHOW VOLUMES") + volumes = cursor.fetchall() + for volume in volumes: + if len(volume) > 0 and volume[0] == self._volume_name: + logger.info("Fallback verification successful for %s", self._volume_name) + return True + except Exception as fallback_e: + logger.warning("Fallback verification failed for %s: %s", self._volume_name, fallback_e) + + return has_permission + + except Exception as e: + logger.exception("External volume permission check failed for %s", self._volume_name) + logger.info("External Volume permission check failed, but permission checking is disabled in this version") + return False + + def _get_table_permissions(self, table_name: str) -> set[str]: + """获取用户对指定表的权限 + + Args: + table_name: 表名 + + Returns: + 用户对该表的权限集合 + """ + cache_key = f"table:{table_name}" + + if cache_key in self._permission_cache: + return self._permission_cache[cache_key] + + permissions = set() + + try: + with self._connection.cursor() as cursor: + # 使用正确的ClickZetta语法检查当前用户权限 + cursor.execute("SHOW GRANTS") + grants = cursor.fetchall() + + # 解析权限结果，查找对该表的权限 + for grant in grants: + if len(grant) >= 3: # 典型格式: (privilege, object_type, object_name, ...) + privilege = grant[0].upper() + object_type = grant[1].upper() if len(grant) > 1 else "" + object_name = grant[2] if len(grant) > 2 else "" + + # 检查是否是对该表的权限 + if ( + object_type == "TABLE" + and object_name == table_name + or object_type == "SCHEMA" + and object_name in table_name + ): + if privilege in ["SELECT", "INSERT", "UPDATE", "DELETE", "ALL"]: + if privilege == "ALL": + permissions.update(["SELECT", "INSERT", "UPDATE", "DELETE"]) + else: + permissions.add(privilege) + + # 如果没有找到明确的权限，尝试执行一个简单的查询来验证权限 + if not permissions: + try: + cursor.execute(f"SELECT COUNT(*) FROM {table_name} LIMIT 1") + permissions.add("SELECT") + except Exception: + logger.debug("Cannot query table %s, no SELECT permission", table_name) + + except Exception as e: + logger.warning("Could not check table permissions for %s: %s", table_name, e) + # 安全默认：权限检查失败时拒绝访问 + pass + + # 缓存权限信息 + self._permission_cache[cache_key] = permissions + return permissions + + def _get_current_username(self) -> str: + """获取当前用户名""" + if self._current_username: + return self._current_username + + try: + with self._connection.cursor() as cursor: + cursor.execute("SELECT CURRENT_USER()") + result = cursor.fetchone() + if result: + self._current_username = result[0] + return str(self._current_username) + except Exception as e: + logger.exception("Failed to get current username") + + return "unknown" + + def _get_user_permissions(self, username: str) -> set[str]: + """获取用户的基本权限集合""" + cache_key = f"user_permissions:{username}" + + if cache_key in self._permission_cache: + return self._permission_cache[cache_key] + + permissions = set() + + try: + with self._connection.cursor() as cursor: + # 使用正确的ClickZetta语法检查当前用户权限 + cursor.execute("SHOW GRANTS") + grants = cursor.fetchall() + + # 解析权限结果，查找用户的基本权限 + for grant in grants: + if len(grant) >= 3: # 典型格式: (privilege, object_type, object_name, ...) + privilege = grant[0].upper() + object_type = grant[1].upper() if len(grant) > 1 else "" + + # 收集所有相关权限 + if privilege in ["SELECT", "INSERT", "UPDATE", "DELETE", "ALL"]: + if privilege == "ALL": + permissions.update(["SELECT", "INSERT", "UPDATE", "DELETE"]) + else: + permissions.add(privilege) + + except Exception as e: + logger.warning("Could not check user permissions for %s: %s", username, e) + # 安全默认：权限检查失败时拒绝访问 + pass + + # 缓存权限信息 + self._permission_cache[cache_key] = permissions + return permissions + + def _get_external_volume_permissions(self, volume_name: str) -> set[str]: + """获取用户对指定External Volume的权限 + + Args: + volume_name: External Volume名称 + + Returns: + 用户对该Volume的权限集合 + """ + cache_key = f"external_volume:{volume_name}" + + if cache_key in self._permission_cache: + return self._permission_cache[cache_key] + + permissions = set() + + try: + with self._connection.cursor() as cursor: + # 使用正确的ClickZetta语法检查Volume权限 + logger.info("Checking permissions for volume: %s", volume_name) + cursor.execute(f"SHOW GRANTS ON VOLUME {volume_name}") + grants = cursor.fetchall() + + logger.info("Raw grants result for %s: %s", volume_name, grants) + + # 解析权限结果 + # 格式: (granted_type, privilege, conditions, granted_on, object_name, granted_to, + # grantee_name, grantor_name, grant_option, granted_time) + for grant in grants: + logger.info("Processing grant: %s", grant) + if len(grant) >= 5: + granted_type = grant[0] + privilege = grant[1].upper() + granted_on = grant[3] + object_name = grant[4] + + logger.info( + "Grant details - type: %s, privilege: %s, granted_on: %s, object_name: %s", + granted_type, + privilege, + granted_on, + object_name, + ) + + # 检查是否是对该Volume的权限或者是层级权限 + if ( + granted_type == "PRIVILEGE" and granted_on == "VOLUME" and object_name.endswith(volume_name) + ) or (granted_type == "OBJECT_HIERARCHY" and granted_on == "VOLUME"): + logger.info("Matching grant found for %s", volume_name) + + if "READ" in privilege: + permissions.add("read") + logger.info("Added READ permission for %s", volume_name) + if "WRITE" in privilege: + permissions.add("write") + logger.info("Added WRITE permission for %s", volume_name) + if "ALTER" in privilege: + permissions.add("alter") + logger.info("Added ALTER permission for %s", volume_name) + if privilege == "ALL": + permissions.update(["read", "write", "alter"]) + logger.info("Added ALL permissions for %s", volume_name) + + logger.info("Final permissions for %s: %s", volume_name, permissions) + + # 如果没有找到明确的权限，尝试查看Volume列表来验证基本权限 + if not permissions: + try: + cursor.execute("SHOW VOLUMES") + volumes = cursor.fetchall() + for volume in volumes: + if len(volume) > 0 and volume[0] == volume_name: + permissions.add("read") # 至少有读权限 + logger.debug("Volume %s found in SHOW VOLUMES, assuming read permission", volume_name) + break + except Exception: + logger.debug("Cannot access volume %s, no basic permission", volume_name) + + except Exception as e: + logger.warning("Could not check external volume permissions for %s: %s", volume_name, e) + # 在权限检查失败时，尝试基本的Volume访问验证 + try: + with self._connection.cursor() as cursor: + cursor.execute("SHOW VOLUMES") + volumes = cursor.fetchall() + for volume in volumes: + if len(volume) > 0 and volume[0] == volume_name: + logger.info("Basic volume access verified for %s", volume_name) + permissions.add("read") + permissions.add("write") # 假设有写权限 + break + except Exception as basic_e: + logger.warning("Basic volume access check failed for %s: %s", volume_name, basic_e) + # 最后的备选方案：假设有基本权限 + permissions.add("read") + + # 缓存权限信息 + self._permission_cache[cache_key] = permissions + return permissions + + def clear_permission_cache(self): + """清空权限缓存""" + self._permission_cache.clear() + logger.debug("Permission cache cleared") + + def get_permission_summary(self, dataset_id: Optional[str] = None) -> dict[str, bool]: + """获取权限摘要 + + Args: + dataset_id: 数据集ID (用于table volume) + + Returns: + 权限摘要字典 + """ + summary = {} + + for operation in VolumePermission: + summary[operation.name.lower()] = self.check_permission(operation, dataset_id) + + return summary + + def check_inherited_permission(self, file_path: str, operation: VolumePermission) -> bool: + """检查文件路径的权限继承 + + Args: + file_path: 文件路径 + operation: 要执行的操作 + + Returns: + True if user has permission, False otherwise + """ + try: + # 解析文件路径 + path_parts = file_path.strip("/").split("/") + + if not path_parts: + logger.warning("Invalid file path for permission inheritance check") + return False + + # 对于Table Volume，第一层是dataset_id + if self._volume_type == "table": + if len(path_parts) < 1: + return False + + dataset_id = path_parts[0] + + # 检查对dataset的权限 + has_dataset_permission = self.check_permission(operation, dataset_id) + + if not has_dataset_permission: + logger.debug("Permission denied for dataset %s", dataset_id) + return False + + # 检查路径遍历攻击 + if self._contains_path_traversal(file_path): + logger.warning("Path traversal attack detected: %s", file_path) + return False + + # 检查是否访问敏感目录 + if self._is_sensitive_path(file_path): + logger.warning("Access to sensitive path denied: %s", file_path) + return False + + logger.debug("Permission inherited for path %s", file_path) + return True + + elif self._volume_type == "user": + # User Volume的权限继承 + current_user = self._get_current_username() + + # 检查是否试图访问其他用户的目录 + if len(path_parts) > 1 and path_parts[0] != current_user: + logger.warning("User %s attempted to access %s's directory", current_user, path_parts[0]) + return False + + # 检查基本权限 + return self.check_permission(operation) + + elif self._volume_type == "external": + # External Volume的权限继承 + # 检查对External Volume的权限 + return self.check_permission(operation) + + else: + logger.warning("Unknown volume type for permission inheritance: %s", self._volume_type) + return False + + except Exception as e: + logger.exception("Permission inheritance check failed") + return False + + def _contains_path_traversal(self, file_path: str) -> bool: + """检查路径是否包含路径遍历攻击""" + # 检查常见的路径遍历模式 + traversal_patterns = [ + "../", + "..\\", + "..%2f", + "..%2F", + "..%5c", + "..%5C", + "%2e%2e%2f", + "%2e%2e%5c", + "....//", + "....\\\\", + ] + + file_path_lower = file_path.lower() + + for pattern in traversal_patterns: + if pattern in file_path_lower: + return True + + # 检查绝对路径 + if file_path.startswith("/") or file_path.startswith("\\"): + return True + + # 检查Windows驱动器路径 + if len(file_path) >= 2 and file_path[1] == ":": + return True + + return False + + def _is_sensitive_path(self, file_path: str) -> bool: + """检查路径是否为敏感路径""" + sensitive_patterns = [ + "passwd", + "shadow", + "hosts", + "config", + "secrets", + "private", + "key", + "certificate", + "cert", + "ssl", + "database", + "backup", + "dump", + "log", + "tmp", + ] + + file_path_lower = file_path.lower() + + return any(pattern in file_path_lower for pattern in sensitive_patterns) + + def validate_operation(self, operation: str, dataset_id: Optional[str] = None) -> bool: + """验证操作权限 + + Args: + operation: 操作名称 (save|load|exists|delete|scan) + dataset_id: 数据集ID + + Returns: + True if operation is allowed, False otherwise + """ + operation_mapping = { + "save": VolumePermission.WRITE, + "load": VolumePermission.READ, + "load_once": VolumePermission.READ, + "load_stream": VolumePermission.READ, + "download": VolumePermission.READ, + "exists": VolumePermission.READ, + "delete": VolumePermission.DELETE, + "scan": VolumePermission.LIST, + } + + if operation not in operation_mapping: + logger.warning("Unknown operation: %s", operation) + return False + + volume_permission = operation_mapping[operation] + return self.check_permission(volume_permission, dataset_id) + + +class VolumePermissionError(Exception): + """Volume权限错误异常""" + + def __init__(self, message: str, operation: str, volume_type: str, dataset_id: Optional[str] = None): + self.operation = operation + self.volume_type = volume_type + self.dataset_id = dataset_id + super().__init__(message) + + +def check_volume_permission( + permission_manager: VolumePermissionManager, operation: str, dataset_id: Optional[str] = None +) -> None: + """权限检查装饰器函数 + + Args: + permission_manager: 权限管理器 + operation: 操作名称 + dataset_id: 数据集ID + + Raises: + VolumePermissionError: 如果没有权限 + """ + if not permission_manager.validate_operation(operation, dataset_id): + error_message = f"Permission denied for operation '{operation}' on {permission_manager._volume_type} volume" + if dataset_id: + error_message += f" (dataset: {dataset_id})" + + raise VolumePermissionError( + error_message, + operation=operation, + volume_type=permission_manager._volume_type or "unknown", + dataset_id=dataset_id, + ) diff --git a/api/extensions/storage/storage_type.py b/api/extensions/storage/storage_type.py index 0a891e36cf..bc2d632159 100644 --- a/api/extensions/storage/storage_type.py +++ b/api/extensions/storage/storage_type.py @@ -5,6 +5,7 @@ class StorageType(StrEnum): ALIYUN_OSS = "aliyun-oss" AZURE_BLOB = "azure-blob" BAIDU_OBS = "baidu-obs" + CLICKZETTA_VOLUME = "clickzetta-volume" GOOGLE_STORAGE = "google-storage" HUAWEI_OBS = "huawei-obs" LOCAL = "local" diff --git a/api/pyproject.toml b/api/pyproject.toml index 9d979eca1c..a86ec7ee6b 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -194,6 +194,7 @@ vdb = [ "alibabacloud_tea_openapi~=0.3.9", "chromadb==0.5.20", "clickhouse-connect~=0.7.16", + "clickzetta-connector-python>=0.8.102", "couchbase~=4.3.0", "elasticsearch==8.14.0", "opensearch-py==2.4.0", @@ -213,3 +214,4 @@ vdb = [ "xinference-client~=1.2.2", "mo-vector~=0.1.13", ] + diff --git a/api/tests/integration_tests/storage/test_clickzetta_volume.py b/api/tests/integration_tests/storage/test_clickzetta_volume.py new file mode 100644 index 0000000000..293b469ef3 --- /dev/null +++ b/api/tests/integration_tests/storage/test_clickzetta_volume.py @@ -0,0 +1,168 @@ +"""Integration tests for ClickZetta Volume Storage.""" + +import os +import tempfile +import unittest + +import pytest + +from extensions.storage.clickzetta_volume.clickzetta_volume_storage import ( + ClickZettaVolumeConfig, + ClickZettaVolumeStorage, +) + + +class TestClickZettaVolumeStorage(unittest.TestCase): + """Test cases for ClickZetta Volume Storage.""" + + def setUp(self): + """Set up test environment.""" + self.config = ClickZettaVolumeConfig( + username=os.getenv("CLICKZETTA_USERNAME", "test_user"), + password=os.getenv("CLICKZETTA_PASSWORD", "test_pass"), + instance=os.getenv("CLICKZETTA_INSTANCE", "test_instance"), + service=os.getenv("CLICKZETTA_SERVICE", "uat-api.clickzetta.com"), + workspace=os.getenv("CLICKZETTA_WORKSPACE", "quick_start"), + vcluster=os.getenv("CLICKZETTA_VCLUSTER", "default_ap"), + schema_name=os.getenv("CLICKZETTA_SCHEMA", "dify"), + volume_type="table", + table_prefix="test_dataset_", + ) + + @pytest.mark.skipif(not os.getenv("CLICKZETTA_USERNAME"), reason="ClickZetta credentials not provided") + def test_user_volume_operations(self): + """Test basic operations with User Volume.""" + config = self.config + config.volume_type = "user" + + storage = ClickZettaVolumeStorage(config) + + # Test file operations + test_filename = "test_file.txt" + test_content = b"Hello, ClickZetta Volume!" + + # Save file + storage.save(test_filename, test_content) + + # Check if file exists + assert storage.exists(test_filename) + + # Load file + loaded_content = storage.load_once(test_filename) + assert loaded_content == test_content + + # Test streaming + stream_content = b"" + for chunk in storage.load_stream(test_filename): + stream_content += chunk + assert stream_content == test_content + + # Test download + with tempfile.NamedTemporaryFile() as temp_file: + storage.download(test_filename, temp_file.name) + with open(temp_file.name, "rb") as f: + downloaded_content = f.read() + assert downloaded_content == test_content + + # Test scan + files = storage.scan("", files=True, directories=False) + assert test_filename in files + + # Delete file + storage.delete(test_filename) + assert not storage.exists(test_filename) + + @pytest.mark.skipif(not os.getenv("CLICKZETTA_USERNAME"), reason="ClickZetta credentials not provided") + def test_table_volume_operations(self): + """Test basic operations with Table Volume.""" + config = self.config + config.volume_type = "table" + + storage = ClickZettaVolumeStorage(config) + + # Test file operations with dataset_id + dataset_id = "12345" + test_filename = f"{dataset_id}/test_file.txt" + test_content = b"Hello, Table Volume!" + + # Save file + storage.save(test_filename, test_content) + + # Check if file exists + assert storage.exists(test_filename) + + # Load file + loaded_content = storage.load_once(test_filename) + assert loaded_content == test_content + + # Test scan for dataset + files = storage.scan(dataset_id, files=True, directories=False) + assert "test_file.txt" in files + + # Delete file + storage.delete(test_filename) + assert not storage.exists(test_filename) + + def test_config_validation(self): + """Test configuration validation.""" + # Test missing required fields + with pytest.raises(ValueError): + ClickZettaVolumeConfig( + username="", # Empty username should fail + password="pass", + instance="instance", + ) + + # Test invalid volume type + with pytest.raises(ValueError): + ClickZettaVolumeConfig(username="user", password="pass", instance="instance", volume_type="invalid_type") + + # Test external volume without volume_name + with pytest.raises(ValueError): + ClickZettaVolumeConfig( + username="user", + password="pass", + instance="instance", + volume_type="external", + # Missing volume_name + ) + + def test_volume_path_generation(self): + """Test volume path generation for different types.""" + storage = ClickZettaVolumeStorage(self.config) + + # Test table volume path + path = storage._get_volume_path("test.txt", "12345") + assert path == "test_dataset_12345/test.txt" + + # Test path with existing dataset_id prefix + path = storage._get_volume_path("12345/test.txt") + assert path == "12345/test.txt" + + # Test user volume + storage._config.volume_type = "user" + path = storage._get_volume_path("test.txt") + assert path == "test.txt" + + def test_sql_prefix_generation(self): + """Test SQL prefix generation for different volume types.""" + storage = ClickZettaVolumeStorage(self.config) + + # Test table volume SQL prefix + prefix = storage._get_volume_sql_prefix("12345") + assert prefix == "TABLE VOLUME test_dataset_12345" + + # Test user volume SQL prefix + storage._config.volume_type = "user" + prefix = storage._get_volume_sql_prefix() + assert prefix == "USER VOLUME" + + # Test external volume SQL prefix + storage._config.volume_type = "external" + storage._config.volume_name = "my_external_volume" + prefix = storage._get_volume_sql_prefix() + assert prefix == "VOLUME my_external_volume" + + +if __name__ == "__main__": + unittest.main() diff --git a/api/tests/integration_tests/vdb/clickzetta/README.md b/api/tests/integration_tests/vdb/clickzetta/README.md new file mode 100644 index 0000000000..c16dca8018 --- /dev/null +++ b/api/tests/integration_tests/vdb/clickzetta/README.md @@ -0,0 +1,25 @@ +# Clickzetta Integration Tests + +## Running Tests + +To run the Clickzetta integration tests, you need to set the following environment variables: + +```bash +export CLICKZETTA_USERNAME=your_username +export CLICKZETTA_PASSWORD=your_password +export CLICKZETTA_INSTANCE=your_instance +export CLICKZETTA_SERVICE=api.clickzetta.com +export CLICKZETTA_WORKSPACE=your_workspace +export CLICKZETTA_VCLUSTER=your_vcluster +export CLICKZETTA_SCHEMA=dify +``` + +Then run the tests: + +```bash +pytest api/tests/integration_tests/vdb/clickzetta/ +``` + +## Security Note + +Never commit credentials to the repository. Always use environment variables or secure credential management systems. diff --git a/api/tests/integration_tests/vdb/clickzetta/test_clickzetta.py b/api/tests/integration_tests/vdb/clickzetta/test_clickzetta.py new file mode 100644 index 0000000000..0aa92bc84a --- /dev/null +++ b/api/tests/integration_tests/vdb/clickzetta/test_clickzetta.py @@ -0,0 +1,237 @@ +import os + +import pytest + +from core.rag.datasource.vdb.clickzetta.clickzetta_vector import ClickzettaConfig, ClickzettaVector +from core.rag.models.document import Document +from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, get_example_text, setup_mock_redis + + +class TestClickzettaVector(AbstractVectorTest): + """ + Test cases for Clickzetta vector database integration. + """ + + @pytest.fixture + def vector_store(self): + """Create a Clickzetta vector store instance for testing.""" + # Skip test if Clickzetta credentials are not configured + if not os.getenv("CLICKZETTA_USERNAME"): + pytest.skip("CLICKZETTA_USERNAME is not configured") + if not os.getenv("CLICKZETTA_PASSWORD"): + pytest.skip("CLICKZETTA_PASSWORD is not configured") + if not os.getenv("CLICKZETTA_INSTANCE"): + pytest.skip("CLICKZETTA_INSTANCE is not configured") + + config = ClickzettaConfig( + username=os.getenv("CLICKZETTA_USERNAME", ""), + password=os.getenv("CLICKZETTA_PASSWORD", ""), + instance=os.getenv("CLICKZETTA_INSTANCE", ""), + service=os.getenv("CLICKZETTA_SERVICE", "api.clickzetta.com"), + workspace=os.getenv("CLICKZETTA_WORKSPACE", "quick_start"), + vcluster=os.getenv("CLICKZETTA_VCLUSTER", "default_ap"), + schema=os.getenv("CLICKZETTA_SCHEMA", "dify_test"), + batch_size=10, # Small batch size for testing + enable_inverted_index=True, + analyzer_type="chinese", + analyzer_mode="smart", + vector_distance_function="cosine_distance", + ) + + with setup_mock_redis(): + vector = ClickzettaVector( + collection_name="test_collection_" + str(os.getpid()), + config=config + ) + + yield vector + + # Cleanup: delete the test collection + try: + vector.delete() + except Exception: + pass + + def test_clickzetta_vector_basic_operations(self, vector_store): + """Test basic CRUD operations on Clickzetta vector store.""" + # Prepare test data + texts = [ + "这是第一个测试文档，包含一些中文内容。", + "This is the second test document with English content.", + "第三个文档混合了English和中文内容。", + ] + embeddings = [ + [0.1, 0.2, 0.3, 0.4], + [0.5, 0.6, 0.7, 0.8], + [0.9, 1.0, 1.1, 1.2], + ] + documents = [ + Document(page_content=text, metadata={"doc_id": f"doc_{i}", "source": "test"}) + for i, text in enumerate(texts) + ] + + # Test create (initial insert) + vector_store.create(texts=documents, embeddings=embeddings) + + # Test text_exists + assert vector_store.text_exists("doc_0") + assert not vector_store.text_exists("doc_999") + + # Test search_by_vector + query_vector = [0.1, 0.2, 0.3, 0.4] + results = vector_store.search_by_vector(query_vector, top_k=2) + assert len(results) > 0 + assert results[0].page_content == texts[0] # Should match the first document + + # Test search_by_full_text (Chinese) + results = vector_store.search_by_full_text("中文", top_k=3) + assert len(results) >= 2 # Should find documents with Chinese content + + # Test search_by_full_text (English) + results = vector_store.search_by_full_text("English", top_k=3) + assert len(results) >= 2 # Should find documents with English content + + # Test delete_by_ids + vector_store.delete_by_ids(["doc_0"]) + assert not vector_store.text_exists("doc_0") + assert vector_store.text_exists("doc_1") + + # Test delete_by_metadata_field + vector_store.delete_by_metadata_field("source", "test") + assert not vector_store.text_exists("doc_1") + assert not vector_store.text_exists("doc_2") + + def test_clickzetta_vector_advanced_search(self, vector_store): + """Test advanced search features of Clickzetta vector store.""" + # Prepare test data with more complex metadata + documents = [] + embeddings = [] + for i in range(10): + doc = Document( + page_content=f"Document {i}: " + get_example_text(), + metadata={ + "doc_id": f"adv_doc_{i}", + "category": "technical" if i % 2 == 0 else "general", + "document_id": f"doc_{i // 3}", # Group documents + "importance": i, + } + ) + documents.append(doc) + # Create varied embeddings + embeddings.append([0.1 * i, 0.2 * i, 0.3 * i, 0.4 * i]) + + vector_store.create(texts=documents, embeddings=embeddings) + + # Test vector search with document filter + query_vector = [0.5, 1.0, 1.5, 2.0] + results = vector_store.search_by_vector( + query_vector, + top_k=5, + document_ids_filter=["doc_0", "doc_1"] + ) + assert len(results) > 0 + # All results should belong to doc_0 or doc_1 groups + for result in results: + assert result.metadata["document_id"] in ["doc_0", "doc_1"] + + # Test score threshold + results = vector_store.search_by_vector( + query_vector, + top_k=10, + score_threshold=0.5 + ) + # Check that all results have a score above threshold + for result in results: + assert result.metadata.get("score", 0) >= 0.5 + + def test_clickzetta_batch_operations(self, vector_store): + """Test batch insertion operations.""" + # Prepare large batch of documents + batch_size = 25 + documents = [] + embeddings = [] + + for i in range(batch_size): + doc = Document( + page_content=f"Batch document {i}: This is a test document for batch processing.", + metadata={"doc_id": f"batch_doc_{i}", "batch": "test_batch"} + ) + documents.append(doc) + embeddings.append([0.1 * (i % 10), 0.2 * (i % 10), 0.3 * (i % 10), 0.4 * (i % 10)]) + + # Test batch insert + vector_store.add_texts(documents=documents, embeddings=embeddings) + + # Verify all documents were inserted + for i in range(batch_size): + assert vector_store.text_exists(f"batch_doc_{i}") + + # Clean up + vector_store.delete_by_metadata_field("batch", "test_batch") + + def test_clickzetta_edge_cases(self, vector_store): + """Test edge cases and error handling.""" + # Test empty operations + vector_store.create(texts=[], embeddings=[]) + vector_store.add_texts(documents=[], embeddings=[]) + vector_store.delete_by_ids([]) + + # Test special characters in content + special_doc = Document( + page_content="Special chars: 'quotes', \"double\", \\backslash, \n newline", + metadata={"doc_id": "special_doc", "test": "edge_case"} + ) + embeddings = [[0.1, 0.2, 0.3, 0.4]] + + vector_store.add_texts(documents=[special_doc], embeddings=embeddings) + assert vector_store.text_exists("special_doc") + + # Test search with special characters + results = vector_store.search_by_full_text("quotes", top_k=1) + if results: # Full-text search might not be available + assert len(results) > 0 + + # Clean up + vector_store.delete_by_ids(["special_doc"]) + + def test_clickzetta_full_text_search_modes(self, vector_store): + """Test different full-text search capabilities.""" + # Prepare documents with various language content + documents = [ + Document( + page_content="云器科技提供强大的Lakehouse解决方案", + metadata={"doc_id": "cn_doc_1", "lang": "chinese"} + ), + Document( + page_content="Clickzetta provides powerful Lakehouse solutions", + metadata={"doc_id": "en_doc_1", "lang": "english"} + ), + Document( + page_content="Lakehouse是现代数据架构的重要组成部分", + metadata={"doc_id": "cn_doc_2", "lang": "chinese"} + ), + Document( + page_content="Modern data architecture includes Lakehouse technology", + metadata={"doc_id": "en_doc_2", "lang": "english"} + ), + ] + + embeddings = [[0.1, 0.2, 0.3, 0.4] for _ in documents] + + vector_store.create(texts=documents, embeddings=embeddings) + + # Test Chinese full-text search + results = vector_store.search_by_full_text("Lakehouse", top_k=4) + assert len(results) >= 2 # Should find at least documents with "Lakehouse" + + # Test English full-text search + results = vector_store.search_by_full_text("solutions", top_k=2) + assert len(results) >= 1 # Should find English documents with "solutions" + + # Test mixed search + results = vector_store.search_by_full_text("数据架构", top_k=2) + assert len(results) >= 1 # Should find Chinese documents with this phrase + + # Clean up + vector_store.delete_by_metadata_field("lang", "chinese") + vector_store.delete_by_metadata_field("lang", "english") diff --git a/api/tests/integration_tests/vdb/clickzetta/test_docker_integration.py b/api/tests/integration_tests/vdb/clickzetta/test_docker_integration.py new file mode 100644 index 0000000000..5f2e290ad4 --- /dev/null +++ b/api/tests/integration_tests/vdb/clickzetta/test_docker_integration.py @@ -0,0 +1,165 @@ +#!/usr/bin/env python3 +""" +Test Clickzetta integration in Docker environment +""" +import os +import time + +import requests +from clickzetta import connect + + +def test_clickzetta_connection(): + """Test direct connection to Clickzetta""" + print("=== Testing direct Clickzetta connection ===") + try: + conn = connect( + username=os.getenv("CLICKZETTA_USERNAME", "test_user"), + password=os.getenv("CLICKZETTA_PASSWORD", "test_password"), + instance=os.getenv("CLICKZETTA_INSTANCE", "test_instance"), + service=os.getenv("CLICKZETTA_SERVICE", "api.clickzetta.com"), + workspace=os.getenv("CLICKZETTA_WORKSPACE", "test_workspace"), + vcluster=os.getenv("CLICKZETTA_VCLUSTER", "default"), + database=os.getenv("CLICKZETTA_SCHEMA", "dify") + ) + + with conn.cursor() as cursor: + # Test basic connectivity + cursor.execute("SELECT 1 as test") + result = cursor.fetchone() + print(f"✓ Connection test: {result}") + + # Check if our test table exists + cursor.execute("SHOW TABLES IN dify") + tables = cursor.fetchall() + print(f"✓ Existing tables: {[t[1] for t in tables if t[0] == 'dify']}") + + # Check if test collection exists + test_collection = "collection_test_dataset" + if test_collection in [t[1] for t in tables if t[0] == 'dify']: + cursor.execute(f"DESCRIBE dify.{test_collection}") + columns = cursor.fetchall() + print(f"✓ Table structure for {test_collection}:") + for col in columns: + print(f" - {col[0]}: {col[1]}") + + # Check for indexes + cursor.execute(f"SHOW INDEXES IN dify.{test_collection}") + indexes = cursor.fetchall() + print(f"✓ Indexes on {test_collection}:") + for idx in indexes: + print(f" - {idx}") + + return True + except Exception as e: + print(f"✗ Connection test failed: {e}") + return False + +def test_dify_api(): + """Test Dify API with Clickzetta backend""" + print("\n=== Testing Dify API ===") + base_url = "http://localhost:5001" + + # Wait for API to be ready + max_retries = 30 + for i in range(max_retries): + try: + response = requests.get(f"{base_url}/console/api/health") + if response.status_code == 200: + print("✓ Dify API is ready") + break + except: + if i == max_retries - 1: + print("✗ Dify API is not responding") + return False + time.sleep(2) + + # Check vector store configuration + try: + # This is a simplified check - in production, you'd use proper auth + print("✓ Dify is configured to use Clickzetta as vector store") + return True + except Exception as e: + print(f"✗ API test failed: {e}") + return False + +def verify_table_structure(): + """Verify the table structure meets Dify requirements""" + print("\n=== Verifying Table Structure ===") + + expected_columns = { + "id": "VARCHAR", + "page_content": "VARCHAR", + "metadata": "VARCHAR", # JSON stored as VARCHAR in Clickzetta + "vector": "ARRAY" + } + + expected_metadata_fields = [ + "doc_id", + "doc_hash", + "document_id", + "dataset_id" + ] + + print("✓ Expected table structure:") + for col, dtype in expected_columns.items(): + print(f" - {col}: {dtype}") + + print("\n✓ Required metadata fields:") + for field in expected_metadata_fields: + print(f" - {field}") + + print("\n✓ Index requirements:") + print(" - Vector index (HNSW) on 'vector' column") + print(" - Full-text index on 'page_content' (optional)") + print(" - Functional index on metadata->>'$.doc_id' (recommended)") + print(" - Functional index on metadata->>'$.document_id' (recommended)") + + return True + +def main(): + """Run all tests""" + print("Starting Clickzetta integration tests for Dify Docker\n") + + tests = [ + ("Direct Clickzetta Connection", test_clickzetta_connection), + ("Dify API Status", test_dify_api), + ("Table Structure Verification", verify_table_structure), + ] + + results = [] + for test_name, test_func in tests: + try: + success = test_func() + results.append((test_name, success)) + except Exception as e: + print(f"\n✗ {test_name} crashed: {e}") + results.append((test_name, False)) + + # Summary + print("\n" + "="*50) + print("Test Summary:") + print("="*50) + + passed = sum(1 for _, success in results if success) + total = len(results) + + for test_name, success in results: + status = "✅ PASSED" if success else "❌ FAILED" + print(f"{test_name}: {status}") + + print(f"\nTotal: {passed}/{total} tests passed") + + if passed == total: + print("\n🎉 All tests passed! Clickzetta is ready for Dify Docker deployment.") + print("\nNext steps:") + print("1. Run: cd docker && docker-compose -f docker-compose.yaml -f docker-compose.clickzetta.yaml up -d") + print("2. Access Dify at http://localhost:3000") + print("3. Create a dataset and test vector storage with Clickzetta") + return 0 + else: + print("\n⚠️ Some tests failed. Please check the errors above.") + return 1 + +if __name__ == "__main__": + exit(main()) diff --git a/api/tests/test_containers_integration_tests/services/test_app_service.py b/api/tests/test_containers_integration_tests/services/test_app_service.py new file mode 100644 index 0000000000..69cd9fafee --- /dev/null +++ b/api/tests/test_containers_integration_tests/services/test_app_service.py @@ -0,0 +1,928 @@ +from unittest.mock import patch + +import pytest +from faker import Faker + +from constants.model_template import default_app_templates +from models.model import App, Site +from services.account_service import AccountService, TenantService +from services.app_service import AppService + + +class TestAppService: + """Integration tests for AppService using testcontainers.""" + + @pytest.fixture + def mock_external_service_dependencies(self): + """Mock setup for external service dependencies.""" + with ( + patch("services.app_service.FeatureService") as mock_feature_service, + patch("services.app_service.EnterpriseService") as mock_enterprise_service, + patch("services.app_service.ModelManager") as mock_model_manager, + patch("services.account_service.FeatureService") as mock_account_feature_service, + ): + # Setup default mock returns for app service + mock_feature_service.get_system_features.return_value.webapp_auth.enabled = False + mock_enterprise_service.WebAppAuth.update_app_access_mode.return_value = None + mock_enterprise_service.WebAppAuth.cleanup_webapp.return_value = None + + # Setup default mock returns for account service + mock_account_feature_service.get_system_features.return_value.is_allow_register = True + + # Mock ModelManager for model configuration + mock_model_instance = mock_model_manager.return_value + mock_model_instance.get_default_model_instance.return_value = None + mock_model_instance.get_default_provider_model_name.return_value = ("openai", "gpt-3.5-turbo") + + yield { + "feature_service": mock_feature_service, + "enterprise_service": mock_enterprise_service, + "model_manager": mock_model_manager, + "account_feature_service": mock_account_feature_service, + } + + def test_create_app_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app creation with basic parameters. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Setup app creation arguments + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🤖", + "icon_background": "#FF6B6B", + "api_rph": 100, + "api_rpm": 10, + } + + # Create app + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Verify app was created correctly + assert app.name == app_args["name"] + assert app.description == app_args["description"] + assert app.mode == app_args["mode"] + assert app.icon_type == app_args["icon_type"] + assert app.icon == app_args["icon"] + assert app.icon_background == app_args["icon_background"] + assert app.tenant_id == tenant.id + assert app.api_rph == app_args["api_rph"] + assert app.api_rpm == app_args["api_rpm"] + assert app.created_by == account.id + assert app.updated_by == account.id + assert app.status == "normal" + assert app.enable_site is True + assert app.enable_api is True + assert app.is_demo is False + assert app.is_public is False + assert app.is_universal is False + + def test_create_app_with_different_modes(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test app creation with different app modes. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + app_service = AppService() + + # Test different app modes + # from AppMode enum in default_app_model_template + app_modes = [v.value for v in default_app_templates] + + for mode in app_modes: + app_args = { + "name": f"{fake.company()} {mode}", + "description": f"Test app for {mode} mode", + "mode": mode, + "icon_type": "emoji", + "icon": "🚀", + "icon_background": "#4ECDC4", + } + + app = app_service.create_app(tenant.id, app_args, account) + + # Verify app mode was set correctly + assert app.mode == mode + assert app.name == app_args["name"] + assert app.tenant_id == tenant.id + assert app.created_by == account.id + + def test_get_app_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app retrieval. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🎯", + "icon_background": "#45B7D1", + } + + app_service = AppService() + created_app = app_service.create_app(tenant.id, app_args, account) + + # Get app using the service + retrieved_app = app_service.get_app(created_app) + + # Verify retrieved app matches created app + assert retrieved_app.id == created_app.id + assert retrieved_app.name == created_app.name + assert retrieved_app.description == created_app.description + assert retrieved_app.mode == created_app.mode + assert retrieved_app.tenant_id == created_app.tenant_id + assert retrieved_app.created_by == created_app.created_by + + def test_get_paginate_apps_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful paginated app list retrieval. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + app_service = AppService() + + # Create multiple apps + app_names = [fake.company() for _ in range(5)] + for name in app_names: + app_args = { + "name": name, + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "📱", + "icon_background": "#96CEB4", + } + app_service.create_app(tenant.id, app_args, account) + + # Get paginated apps + args = { + "page": 1, + "limit": 10, + "mode": "chat", + } + + paginated_apps = app_service.get_paginate_apps(account.id, tenant.id, args) + + # Verify pagination results + assert paginated_apps is not None + assert len(paginated_apps.items) >= 5 # Should have at least 5 apps + assert paginated_apps.page == 1 + assert paginated_apps.per_page == 10 + + # Verify all apps belong to the correct tenant + for app in paginated_apps.items: + assert app.tenant_id == tenant.id + assert app.mode == "chat" + + def test_get_paginate_apps_with_filters(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test paginated app list with various filters. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + app_service = AppService() + + # Create apps with different modes + chat_app_args = { + "name": "Chat App", + "description": "A chat application", + "mode": "chat", + "icon_type": "emoji", + "icon": "💬", + "icon_background": "#FF6B6B", + } + completion_app_args = { + "name": "Completion App", + "description": "A completion application", + "mode": "completion", + "icon_type": "emoji", + "icon": "✍️", + "icon_background": "#4ECDC4", + } + + chat_app = app_service.create_app(tenant.id, chat_app_args, account) + completion_app = app_service.create_app(tenant.id, completion_app_args, account) + + # Test filter by mode + chat_args = { + "page": 1, + "limit": 10, + "mode": "chat", + } + chat_apps = app_service.get_paginate_apps(account.id, tenant.id, chat_args) + assert len(chat_apps.items) == 1 + assert chat_apps.items[0].mode == "chat" + + # Test filter by name + name_args = { + "page": 1, + "limit": 10, + "mode": "chat", + "name": "Chat", + } + filtered_apps = app_service.get_paginate_apps(account.id, tenant.id, name_args) + assert len(filtered_apps.items) == 1 + assert "Chat" in filtered_apps.items[0].name + + # Test filter by created_by_me + created_by_me_args = { + "page": 1, + "limit": 10, + "mode": "completion", + "is_created_by_me": True, + } + my_apps = app_service.get_paginate_apps(account.id, tenant.id, created_by_me_args) + assert len(my_apps.items) == 1 + + def test_get_paginate_apps_with_tag_filters(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test paginated app list with tag filters. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + app_service = AppService() + + # Create an app + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🏷️", + "icon_background": "#FFEAA7", + } + app = app_service.create_app(tenant.id, app_args, account) + + # Mock TagService to return the app ID for tag filtering + with patch("services.app_service.TagService.get_target_ids_by_tag_ids") as mock_tag_service: + mock_tag_service.return_value = [app.id] + + # Test with tag filter + args = { + "page": 1, + "limit": 10, + "mode": "chat", + "tag_ids": ["tag1", "tag2"], + } + + paginated_apps = app_service.get_paginate_apps(account.id, tenant.id, args) + + # Verify tag service was called + mock_tag_service.assert_called_once_with("app", tenant.id, ["tag1", "tag2"]) + + # Verify results + assert paginated_apps is not None + assert len(paginated_apps.items) == 1 + assert paginated_apps.items[0].id == app.id + + # Test with tag filter that returns no results + with patch("services.app_service.TagService.get_target_ids_by_tag_ids") as mock_tag_service: + mock_tag_service.return_value = [] + + args = { + "page": 1, + "limit": 10, + "mode": "chat", + "tag_ids": ["nonexistent_tag"], + } + + paginated_apps = app_service.get_paginate_apps(account.id, tenant.id, args) + + # Should return None when no apps match tag filter + assert paginated_apps is None + + def test_update_app_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app update with all fields. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🎯", + "icon_background": "#45B7D1", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store original values + original_name = app.name + original_description = app.description + original_icon = app.icon + original_icon_background = app.icon_background + original_use_icon_as_answer_icon = app.use_icon_as_answer_icon + + # Update app + update_args = { + "name": "Updated App Name", + "description": "Updated app description", + "icon_type": "emoji", + "icon": "🔄", + "icon_background": "#FF8C42", + "use_icon_as_answer_icon": True, + } + + with patch("flask_login.utils._get_user", return_value=account): + updated_app = app_service.update_app(app, update_args) + + # Verify updated fields + assert updated_app.name == update_args["name"] + assert updated_app.description == update_args["description"] + assert updated_app.icon == update_args["icon"] + assert updated_app.icon_background == update_args["icon_background"] + assert updated_app.use_icon_as_answer_icon is True + assert updated_app.updated_by == account.id + + # Verify other fields remain unchanged + assert updated_app.mode == app.mode + assert updated_app.tenant_id == app.tenant_id + assert updated_app.created_by == app.created_by + + def test_update_app_name_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app name update. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🎯", + "icon_background": "#45B7D1", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store original name + original_name = app.name + + # Update app name + new_name = "New App Name" + with patch("flask_login.utils._get_user", return_value=account): + updated_app = app_service.update_app_name(app, new_name) + + assert updated_app.name == new_name + assert updated_app.updated_by == account.id + + # Verify other fields remain unchanged + assert updated_app.description == app.description + assert updated_app.mode == app.mode + assert updated_app.tenant_id == app.tenant_id + assert updated_app.created_by == app.created_by + + def test_update_app_icon_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app icon update. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🎯", + "icon_background": "#45B7D1", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store original values + original_icon = app.icon + original_icon_background = app.icon_background + + # Update app icon + new_icon = "🌟" + new_icon_background = "#FFD93D" + with patch("flask_login.utils._get_user", return_value=account): + updated_app = app_service.update_app_icon(app, new_icon, new_icon_background) + + assert updated_app.icon == new_icon + assert updated_app.icon_background == new_icon_background + assert updated_app.updated_by == account.id + + # Verify other fields remain unchanged + assert updated_app.name == app.name + assert updated_app.description == app.description + assert updated_app.mode == app.mode + assert updated_app.tenant_id == app.tenant_id + assert updated_app.created_by == app.created_by + + def test_update_app_site_status_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app site status update. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🌐", + "icon_background": "#74B9FF", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store original site status + original_site_status = app.enable_site + + # Update site status to disabled + with patch("flask_login.utils._get_user", return_value=account): + updated_app = app_service.update_app_site_status(app, False) + assert updated_app.enable_site is False + assert updated_app.updated_by == account.id + + # Update site status back to enabled + with patch("flask_login.utils._get_user", return_value=account): + updated_app = app_service.update_app_site_status(updated_app, True) + assert updated_app.enable_site is True + assert updated_app.updated_by == account.id + + # Verify other fields remain unchanged + assert updated_app.name == app.name + assert updated_app.description == app.description + assert updated_app.mode == app.mode + assert updated_app.tenant_id == app.tenant_id + assert updated_app.created_by == app.created_by + + def test_update_app_api_status_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app API status update. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🔌", + "icon_background": "#A29BFE", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store original API status + original_api_status = app.enable_api + + # Update API status to disabled + with patch("flask_login.utils._get_user", return_value=account): + updated_app = app_service.update_app_api_status(app, False) + assert updated_app.enable_api is False + assert updated_app.updated_by == account.id + + # Update API status back to enabled + with patch("flask_login.utils._get_user", return_value=account): + updated_app = app_service.update_app_api_status(updated_app, True) + assert updated_app.enable_api is True + assert updated_app.updated_by == account.id + + # Verify other fields remain unchanged + assert updated_app.name == app.name + assert updated_app.description == app.description + assert updated_app.mode == app.mode + assert updated_app.tenant_id == app.tenant_id + assert updated_app.created_by == app.created_by + + def test_update_app_site_status_no_change(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test app site status update when status doesn't change. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🔄", + "icon_background": "#FD79A8", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store original values + original_site_status = app.enable_site + original_updated_at = app.updated_at + + # Update site status to the same value (no change) + updated_app = app_service.update_app_site_status(app, original_site_status) + + # Verify app is returned unchanged + assert updated_app.id == app.id + assert updated_app.enable_site == original_site_status + assert updated_app.updated_at == original_updated_at + + # Verify other fields remain unchanged + assert updated_app.name == app.name + assert updated_app.description == app.description + assert updated_app.mode == app.mode + assert updated_app.tenant_id == app.tenant_id + assert updated_app.created_by == app.created_by + + def test_delete_app_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app deletion. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🗑️", + "icon_background": "#E17055", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store app ID for verification + app_id = app.id + + # Mock the async deletion task + with patch("services.app_service.remove_app_and_related_data_task") as mock_delete_task: + mock_delete_task.delay.return_value = None + + # Delete app + app_service.delete_app(app) + + # Verify async deletion task was called + mock_delete_task.delay.assert_called_once_with(tenant_id=tenant.id, app_id=app_id) + + # Verify app was deleted from database + from extensions.ext_database import db + + deleted_app = db.session.query(App).filter_by(id=app_id).first() + assert deleted_app is None + + def test_delete_app_with_related_data(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test app deletion with related data cleanup. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🧹", + "icon_background": "#00B894", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Store app ID for verification + app_id = app.id + + # Mock webapp auth cleanup + mock_external_service_dependencies[ + "feature_service" + ].get_system_features.return_value.webapp_auth.enabled = True + + # Mock the async deletion task + with patch("services.app_service.remove_app_and_related_data_task") as mock_delete_task: + mock_delete_task.delay.return_value = None + + # Delete app + app_service.delete_app(app) + + # Verify webapp auth cleanup was called + mock_external_service_dependencies["enterprise_service"].WebAppAuth.cleanup_webapp.assert_called_once_with( + app_id + ) + + # Verify async deletion task was called + mock_delete_task.delay.assert_called_once_with(tenant_id=tenant.id, app_id=app_id) + + # Verify app was deleted from database + from extensions.ext_database import db + + deleted_app = db.session.query(App).filter_by(id=app_id).first() + assert deleted_app is None + + def test_get_app_meta_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app metadata retrieval. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "📊", + "icon_background": "#6C5CE7", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Get app metadata + app_meta = app_service.get_app_meta(app) + + # Verify metadata contains expected fields + assert "tool_icons" in app_meta + # Note: get_app_meta currently only returns tool_icons + + def test_get_app_code_by_id_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app code retrieval by app ID. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🔗", + "icon_background": "#FDCB6E", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Get app code by ID + app_code = AppService.get_app_code_by_id(app.id) + + # Verify app code was retrieved correctly + # Note: Site would be created when App is created, site.code is auto-generated + assert app_code is not None + assert len(app_code) > 0 + + def test_get_app_id_by_code_success(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test successful app ID retrieval by app code. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Create app first + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "chat", + "icon_type": "emoji", + "icon": "🆔", + "icon_background": "#E84393", + } + + app_service = AppService() + app = app_service.create_app(tenant.id, app_args, account) + + # Create a site for the app + site = Site() + site.app_id = app.id + site.code = fake.postalcode() + site.title = fake.company() + site.status = "normal" + site.default_language = "en-US" + site.customize_token_strategy = "uuid" + from extensions.ext_database import db + + db.session.add(site) + db.session.commit() + + # Get app ID by code + app_id = AppService.get_app_id_by_code(site.code) + + # Verify app ID was retrieved correctly + assert app_id == app.id + + def test_create_app_invalid_mode(self, db_session_with_containers, mock_external_service_dependencies): + """ + Test app creation with invalid mode. + """ + fake = Faker() + + # Create account and tenant first + account = AccountService.create_account( + email=fake.email(), + name=fake.name(), + interface_language="en-US", + password=fake.password(length=12), + ) + TenantService.create_owner_tenant_if_not_exist(account, name=fake.company()) + tenant = account.current_tenant + + # Setup app creation arguments with invalid mode + app_args = { + "name": fake.company(), + "description": fake.text(max_nb_chars=100), + "mode": "invalid_mode", # Invalid mode + "icon_type": "emoji", + "icon": "❌", + "icon_background": "#D63031", + } + + app_service = AppService() + + # Attempt to create app with invalid mode + with pytest.raises(ValueError, match="invalid mode value"): + app_service.create_app(tenant.id, app_args, account) diff --git a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py index bb6d72f51e..3101f7dd34 100644 --- a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py +++ b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py @@ -49,7 +49,7 @@ def test_executor_with_json_body_and_number_variable(): assert executor.method == "post" assert executor.url == "https://api.example.com/data" assert executor.headers == {"Content-Type": "application/json"} - assert executor.params == [] + assert executor.params is None assert executor.json == {"number": 42} assert executor.data is None assert executor.files is None @@ -102,7 +102,7 @@ def test_executor_with_json_body_and_object_variable(): assert executor.method == "post" assert executor.url == "https://api.example.com/data" assert executor.headers == {"Content-Type": "application/json"} - assert executor.params == [] + assert executor.params is None assert executor.json == {"name": "John Doe", "age": 30, "email": "john@example.com"} assert executor.data is None assert executor.files is None @@ -157,7 +157,7 @@ def test_executor_with_json_body_and_nested_object_variable(): assert executor.method == "post" assert executor.url == "https://api.example.com/data" assert executor.headers == {"Content-Type": "application/json"} - assert executor.params == [] + assert executor.params is None assert executor.json == {"object": {"name": "John Doe", "age": 30, "email": "john@example.com"}} assert executor.data is None assert executor.files is None @@ -245,7 +245,7 @@ def test_executor_with_form_data(): assert executor.url == "https://api.example.com/upload" assert "Content-Type" in executor.headers assert "multipart/form-data" in 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OPENDAL_FS_ROOT=storage +# ClickZetta Volume Configuration (for storage backend) +# To use ClickZetta Volume as storage backend, set STORAGE_TYPE=clickzetta-volume +# Note: ClickZetta Volume will reuse the existing CLICKZETTA_* connection parameters + +# Volume type selection (three types available): +# - user: Personal/small team use, simple config, user-level permissions +# - table: Enterprise multi-tenant, smart routing, table-level + user-level permissions +# - external: Data lake integration, external storage connection, volume-level + storage-level permissions +CLICKZETTA_VOLUME_TYPE=user + +# External Volume name (required only when TYPE=external) +CLICKZETTA_VOLUME_NAME= + +# Table Volume table prefix (used only when TYPE=table) +CLICKZETTA_VOLUME_TABLE_PREFIX=dataset_ + +# Dify file directory prefix (isolates from other apps, recommended to keep default) +CLICKZETTA_VOLUME_DIFY_PREFIX=dify_km + # S3 Configuration # S3_ENDPOINT= @@ -416,7 +435,7 @@ 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`, `matrixone`. +# 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`, `clickzetta`. VECTOR_STORE=weaviate # Prefix used to create collection name in vector database VECTOR_INDEX_NAME_PREFIX=Vector_index @@ -655,6 +674,20 @@ TABLESTORE_ACCESS_KEY_ID=xxx TABLESTORE_ACCESS_KEY_SECRET=xxx TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE=false +# Clickzetta configuration, only available when VECTOR_STORE is `clickzetta` +CLICKZETTA_USERNAME= +CLICKZETTA_PASSWORD= +CLICKZETTA_INSTANCE= +CLICKZETTA_SERVICE=api.clickzetta.com +CLICKZETTA_WORKSPACE=quick_start +CLICKZETTA_VCLUSTER=default_ap +CLICKZETTA_SCHEMA=dify +CLICKZETTA_BATCH_SIZE=100 +CLICKZETTA_ENABLE_INVERTED_INDEX=true +CLICKZETTA_ANALYZER_TYPE=chinese +CLICKZETTA_ANALYZER_MODE=smart +CLICKZETTA_VECTOR_DISTANCE_FUNCTION=cosine_distance + # ------------------------------ # Knowledge Configuration # ------------------------------ diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 19910cca6f..8e2d40883d 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -93,6 +93,10 @@ x-shared-env: &shared-api-worker-env STORAGE_TYPE: ${STORAGE_TYPE:-opendal} OPENDAL_SCHEME: ${OPENDAL_SCHEME:-fs} OPENDAL_FS_ROOT: ${OPENDAL_FS_ROOT:-storage} + CLICKZETTA_VOLUME_TYPE: ${CLICKZETTA_VOLUME_TYPE:-user} + CLICKZETTA_VOLUME_NAME: ${CLICKZETTA_VOLUME_NAME:-} + CLICKZETTA_VOLUME_TABLE_PREFIX: ${CLICKZETTA_VOLUME_TABLE_PREFIX:-dataset_} + CLICKZETTA_VOLUME_DIFY_PREFIX: ${CLICKZETTA_VOLUME_DIFY_PREFIX:-dify_km} S3_ENDPOINT: ${S3_ENDPOINT:-} S3_REGION: ${S3_REGION:-us-east-1} S3_BUCKET_NAME: ${S3_BUCKET_NAME:-difyai} @@ -313,6 +317,18 @@ x-shared-env: &shared-api-worker-env TABLESTORE_ACCESS_KEY_ID: ${TABLESTORE_ACCESS_KEY_ID:-xxx} TABLESTORE_ACCESS_KEY_SECRET: ${TABLESTORE_ACCESS_KEY_SECRET:-xxx} TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE: ${TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE:-false} + CLICKZETTA_USERNAME: ${CLICKZETTA_USERNAME:-} + CLICKZETTA_PASSWORD: ${CLICKZETTA_PASSWORD:-} + CLICKZETTA_INSTANCE: ${CLICKZETTA_INSTANCE:-} + CLICKZETTA_SERVICE: ${CLICKZETTA_SERVICE:-api.clickzetta.com} + CLICKZETTA_WORKSPACE: ${CLICKZETTA_WORKSPACE:-quick_start} + CLICKZETTA_VCLUSTER: ${CLICKZETTA_VCLUSTER:-default_ap} + CLICKZETTA_SCHEMA: ${CLICKZETTA_SCHEMA:-dify} + CLICKZETTA_BATCH_SIZE: ${CLICKZETTA_BATCH_SIZE:-100} + CLICKZETTA_ENABLE_INVERTED_INDEX: ${CLICKZETTA_ENABLE_INVERTED_INDEX:-true} + CLICKZETTA_ANALYZER_TYPE: ${CLICKZETTA_ANALYZER_TYPE:-chinese} + CLICKZETTA_ANALYZER_MODE: ${CLICKZETTA_ANALYZER_MODE:-smart} + CLICKZETTA_VECTOR_DISTANCE_FUNCTION: ${CLICKZETTA_VECTOR_DISTANCE_FUNCTION:-cosine_distance} UPLOAD_FILE_SIZE_LIMIT: ${UPLOAD_FILE_SIZE_LIMIT:-15} UPLOAD_FILE_BATCH_LIMIT: ${UPLOAD_FILE_BATCH_LIMIT:-5} ETL_TYPE: ${ETL_TYPE:-dify} diff --git a/web/app/(commonLayout)/datasets/NewDatasetCard.tsx b/web/app/(commonLayout)/datasets/NewDatasetCard.tsx deleted file mode 100644 index 62f6a34be0..0000000000 --- a/web/app/(commonLayout)/datasets/NewDatasetCard.tsx +++ /dev/null @@ -1,41 +0,0 @@ -'use client' -import { useTranslation } from 'react-i18next' -import { - RiAddLine, - RiArrowRightLine, -} from '@remixicon/react' -import Link from 'next/link' - -type CreateAppCardProps = { - ref?: React.Ref -} - -const CreateAppCard = ({ ref }: CreateAppCardProps) => { - const { t } = useTranslation() - - return ( -
- -
-
- -
-
{t('dataset.createDataset')}
-
- -
{t('dataset.createDatasetIntro')}
- -
{t('dataset.connectDataset')}
- - -
- ) -} - -CreateAppCard.displayName = 'CreateAppCard' - -export default CreateAppCard diff --git a/web/app/components/app/create-from-dsl-modal/uploader.tsx b/web/app/components/app/create-from-dsl-modal/uploader.tsx index 6ad4116dd6..3ab54733dc 100644 --- a/web/app/components/app/create-from-dsl-modal/uploader.tsx +++ b/web/app/components/app/create-from-dsl-modal/uploader.tsx @@ -106,8 +106,8 @@ const Uploader: FC = ({
- {t('datasetCreation.stepOne.uploader.button')} - {t('datasetDocuments.list.batchModal.browse')} + {t('app.dslUploader.button')} + {t('app.dslUploader.browse')}
{dragging &&
} diff --git a/web/app/components/apps/app-card.tsx b/web/app/components/apps/app-card.tsx index 603b5922c5..a91c2edf1e 100644 --- a/web/app/components/apps/app-card.tsx +++ b/web/app/components/apps/app-card.tsx @@ -370,20 +370,14 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { {app.description}
-
+
{isCurrentWorkspaceEditor && ( <>
{ e.stopPropagation() e.preventDefault() }}> -
+
{ />
-
+
} diff --git a/web/app/components/base/chat/chat/index.tsx b/web/app/components/base/chat/chat/index.tsx index 16717c53f9..bee37cf2cd 100644 --- a/web/app/components/base/chat/chat/index.tsx +++ b/web/app/components/base/chat/chat/index.tsx @@ -284,9 +284,9 @@ const Chat: FC = ({ { !noStopResponding && isResponding && (
-
) diff --git a/web/app/components/datasets/create/file-uploader/index.tsx b/web/app/components/datasets/create/file-uploader/index.tsx index 2a87962329..4dfdbc4e96 100644 --- a/web/app/components/datasets/create/file-uploader/index.tsx +++ b/web/app/components/datasets/create/file-uploader/index.tsx @@ -313,7 +313,7 @@ const FileUploader = ({ - {t('datasetCreation.stepOne.uploader.button')} + {notSupportBatchUpload ? t('datasetCreation.stepOne.uploader.buttonSingleFile') : t('datasetCreation.stepOne.uploader.button')} {supportTypes.length > 0 && ( )} diff --git a/web/app/components/develop/doc.tsx b/web/app/components/develop/doc.tsx index 806ee72725..ef5e7022c1 100644 --- a/web/app/components/develop/doc.tsx +++ b/web/app/components/develop/doc.tsx @@ -1,8 +1,8 @@ 'use client' -import { useEffect, useState } from 'react' +import { useEffect, useMemo, useState } from 'react' import { useContext } from 'use-context-selector' import { useTranslation } from 'react-i18next' -import { RiListUnordered } from '@remixicon/react' +import { RiCloseLine, RiListUnordered } from '@remixicon/react' import TemplateEn from './template/template.en.mdx' import TemplateZh from './template/template.zh.mdx' import TemplateJa from './template/template.ja.mdx' @@ -30,6 +30,7 @@ const Doc = ({ appDetail }: IDocProps) => { const { t } = useTranslation() const [toc, setToc] = useState>([]) const [isTocExpanded, setIsTocExpanded] = useState(false) + const [activeSection, setActiveSection] = useState('') const { theme } = useTheme() const variables = appDetail?.model_config?.configs?.prompt_variables || [] @@ -59,13 +60,43 @@ const Doc = ({ appDetail }: IDocProps) => { return null }).filter((item): item is { href: string; text: string } => item !== null) setToc(tocItems) + if (tocItems.length > 0) + setActiveSection(tocItems[0].href.replace('#', '')) } } - // Run after component has rendered setTimeout(extractTOC, 0) }, [appDetail, locale]) + useEffect(() => { + const handleScroll = () => { + const scrollContainer = document.querySelector('.overflow-auto') + if (!scrollContainer || toc.length === 0) + return + + let currentSection = '' + toc.forEach((item) => { + const targetId = item.href.replace('#', '') + const element = document.getElementById(targetId) + if (element) { + const rect = element.getBoundingClientRect() + if (rect.top <= window.innerHeight / 2) + currentSection = targetId + } + }) + + if (currentSection && currentSection !== activeSection) + setActiveSection(currentSection) + } + + const scrollContainer = document.querySelector('.overflow-auto') + if (scrollContainer) { + scrollContainer.addEventListener('scroll', handleScroll) + handleScroll() + return () => scrollContainer.removeEventListener('scroll', handleScroll) + } + }, [toc, activeSection]) + const handleTocClick = (e: React.MouseEvent, item: { href: string; text: string }) => { e.preventDefault() const targetId = item.href.replace('#', '') @@ -82,94 +113,128 @@ const Doc = ({ appDetail }: IDocProps) => { } } } + + const Template = useMemo(() => { + if (appDetail?.mode === 'chat' || appDetail?.mode === 'agent-chat') { + switch (locale) { + case LanguagesSupported[1]: + return + case LanguagesSupported[7]: + return + default: + return + } + } + if (appDetail?.mode === 'advanced-chat') { + switch (locale) { + case LanguagesSupported[1]: + return + case LanguagesSupported[7]: + return + default: + return + } + } + if (appDetail?.mode === 'workflow') { + switch (locale) { + case LanguagesSupported[1]: + return + case LanguagesSupported[7]: + return + default: + return + } + } + if (appDetail?.mode === 'completion') { + switch (locale) { + case LanguagesSupported[1]: + return + case LanguagesSupported[7]: + return + default: + return + } + } + return null + }, [appDetail, locale, variables, inputs]) + return (
-
+
{isTocExpanded ? ( -
) diff --git a/web/app/components/develop/template/template.ja.mdx b/web/app/components/develop/template/template.ja.mdx index 238a921fb5..15f6c4255e 100755 --- a/web/app/components/develop/template/template.ja.mdx +++ b/web/app/components/develop/template/template.ja.mdx @@ -448,7 +448,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from url='/text-to-audio' method='POST' title='テキストから音声' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/develop/template/template.zh.mdx b/web/app/components/develop/template/template.zh.mdx index a5eea3d193..bdb54458e0 100755 --- a/web/app/components/develop/template/template.zh.mdx +++ b/web/app/components/develop/template/template.zh.mdx @@ -423,7 +423,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' url='/text-to-audio' method='POST' title='文字转语音' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/develop/template/template_advanced_chat.en.mdx b/web/app/components/develop/template/template_advanced_chat.en.mdx index 66c45b6e4f..c534c3d6b7 100644 --- a/web/app/components/develop/template/template_advanced_chat.en.mdx +++ b/web/app/components/develop/template/template_advanced_chat.en.mdx @@ -1136,7 +1136,7 @@ Chat applications support session persistence, allowing previous chat history to url='/audio-to-text' method='POST' title='Speech to Text' - name='#audio' + name='#audio-to-text' /> @@ -1187,7 +1187,7 @@ Chat applications support session persistence, allowing previous chat history to url='/text-to-audio' method='POST' title='Text to Audio' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/develop/template/template_advanced_chat.ja.mdx b/web/app/components/develop/template/template_advanced_chat.ja.mdx index 849b58129e..28698d3e12 100644 --- a/web/app/components/develop/template/template_advanced_chat.ja.mdx +++ b/web/app/components/develop/template/template_advanced_chat.ja.mdx @@ -1136,7 +1136,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from url='/audio-to-text' method='POST' title='音声からテキストへ' - name='#audio' + name='#audio-to-text' /> @@ -1187,7 +1187,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from url='/text-to-audio' method='POST' title='テキストから音声へ' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/develop/template/template_advanced_chat.zh.mdx b/web/app/components/develop/template/template_advanced_chat.zh.mdx index 47c88bda90..08d8d54017 100755 --- a/web/app/components/develop/template/template_advanced_chat.zh.mdx +++ b/web/app/components/develop/template/template_advanced_chat.zh.mdx @@ -1174,7 +1174,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' url='/audio-to-text' method='POST' title='语音转文字' - name='#audio' + name='#audio-to-text' /> @@ -1222,7 +1222,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' url='/text-to-audio' method='POST' title='文字转语音' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/develop/template/template_chat.en.mdx b/web/app/components/develop/template/template_chat.en.mdx index 24efe62fda..1bdb884958 100644 --- a/web/app/components/develop/template/template_chat.en.mdx +++ b/web/app/components/develop/template/template_chat.en.mdx @@ -1170,7 +1170,7 @@ Chat applications support session persistence, allowing previous chat history to url='/audio-to-text' method='POST' title='Speech to Text' - name='#audio' + name='#audio-to-text' /> @@ -1221,7 +1221,7 @@ Chat applications support session persistence, allowing previous chat history to url='/text-to-audio' method='POST' title='Text to Audio' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/develop/template/template_chat.ja.mdx b/web/app/components/develop/template/template_chat.ja.mdx index d251bcd5cd..d82703944a 100644 --- a/web/app/components/develop/template/template_chat.ja.mdx +++ b/web/app/components/develop/template/template_chat.ja.mdx @@ -1169,7 +1169,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from url='/audio-to-text' method='POST' title='音声からテキストへ' - name='#audio' + name='#audio-to-text' /> @@ -1220,7 +1220,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from url='/text-to-audio' method='POST' title='テキストから音声へ' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/develop/template/template_chat.zh.mdx b/web/app/components/develop/template/template_chat.zh.mdx index 998d524b55..abfc718909 100644 --- a/web/app/components/develop/template/template_chat.zh.mdx +++ b/web/app/components/develop/template/template_chat.zh.mdx @@ -1185,7 +1185,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' url='/audio-to-text' method='POST' title='语音转文字' - name='#audio' + name='#audio-to-text' /> @@ -1233,7 +1233,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' url='/text-to-audio' method='POST' title='文字转语音' - name='#audio' + name='#text-to-audio' /> diff --git a/web/app/components/workflow/panel/debug-and-preview/index.tsx b/web/app/components/workflow/panel/debug-and-preview/index.tsx index baf4c21dcd..ed3f29e871 100644 --- a/web/app/components/workflow/panel/debug-and-preview/index.tsx +++ b/web/app/components/workflow/panel/debug-and-preview/index.tsx @@ -90,7 +90,7 @@ const DebugAndPreview = () => {
diff --git a/web/app/components/workflow/shortcuts-name.tsx b/web/app/components/workflow/shortcuts-name.tsx index 8d96bdfe6e..e7122c5ad5 100644 --- a/web/app/components/workflow/shortcuts-name.tsx +++ b/web/app/components/workflow/shortcuts-name.tsx @@ -19,7 +19,7 @@ const ShortcutsName = ({ keys.map(key => (
{getKeyboardKeyNameBySystem(key)}
diff --git a/web/app/styles/markdown.scss b/web/app/styles/markdown.scss index bd9c7343f3..005685f0e8 100644 --- a/web/app/styles/markdown.scss +++ b/web/app/styles/markdown.scss @@ -1,5 +1,3 @@ -@use '../../themes/light'; -@use '../../themes/dark'; @use '../../themes/markdown-light'; @use '../../themes/markdown-dark'; diff --git a/web/i18n/de-DE/app-debug.ts b/web/i18n/de-DE/app-debug.ts index 68f674b76a..7f8b27c0d0 100644 --- a/web/i18n/de-DE/app-debug.ts +++ b/web/i18n/de-DE/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Moderater Inhalt aktiviert', + contentEnableLabel: 'Inhaltsmoderation aktiviert', }, fileUpload: { title: 'Datei-Upload', diff --git a/web/i18n/de-DE/app.ts b/web/i18n/de-DE/app.ts index 0013a89561..c3826e658e 100644 --- a/web/i18n/de-DE/app.ts +++ b/web/i18n/de-DE/app.ts @@ -166,6 +166,10 @@ const translation = { description: 'Gibt an, ob das web app Symbol zum Ersetzen 🤖 in der freigegebenen Anwendung verwendet werden soll', }, importFromDSLUrlPlaceholder: 'DSL-Link hier einfügen', + dslUploader: { + button: 'Datei per Drag & Drop ablegen oder', + browse: 'Durchsuchen', + }, duplicate: 'Duplikat', importFromDSL: 'Import von DSL', importDSL: 'DSL-Datei importieren', diff --git a/web/i18n/de-DE/dataset-creation.ts b/web/i18n/de-DE/dataset-creation.ts index a26feb314a..bef64c7fb5 100644 --- a/web/i18n/de-DE/dataset-creation.ts +++ b/web/i18n/de-DE/dataset-creation.ts @@ -21,6 +21,7 @@ const translation = { uploader: { title: 'Textdatei hochladen', button: 'Dateien und Ordner hierher ziehen oder klicken', + buttonSingleFile: 'Datei hierher ziehen oder klicken', browse: 'Durchsuchen', tip: 'Unterstützt {{supportTypes}}. Maximal {{size}}MB pro Datei.', validation: { diff --git a/web/i18n/de-DE/workflow.ts b/web/i18n/de-DE/workflow.ts index 79e54b96c0..d9189ad5cc 100644 --- a/web/i18n/de-DE/workflow.ts +++ b/web/i18n/de-DE/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Auf 50% vergrößern', zoomTo100: 'Auf 100% vergrößern', zoomToFit: 'An Bildschirm anpassen', + selectionAlignment: 'Ausrichtung der Auswahl', + alignLeft: 'Links', + alignTop: 'Nach oben', + distributeVertical: 'Vertikaler Raum', + alignBottom: 'Unteres', + distributeHorizontal: 'Horizontaler Raum', + vertical: 'Senkrecht', + alignMiddle: 'Mitte', + alignCenter: 'Mitte', + alignRight: 'Rechts', + alignNodes: 'Knoten ausrichten', + horizontal: 'Horizontal', }, panel: { userInputField: 'Benutzereingabefeld', diff --git a/web/i18n/en-US/app-debug.ts b/web/i18n/en-US/app-debug.ts index a17f58489d..874dca2ede 100644 --- a/web/i18n/en-US/app-debug.ts +++ b/web/i18n/en-US/app-debug.ts @@ -163,7 +163,7 @@ const translation = { moderation: { title: 'Content moderation', description: 'Secure model output by using moderation API or maintaining a sensitive word list.', - contentEnableLabel: 'Enabled moderate content', + contentEnableLabel: 'Content moderation enabled', allEnabled: 'INPUT & OUTPUT', inputEnabled: 'INPUT', outputEnabled: 'OUTPUT', diff --git a/web/i18n/en-US/app.ts b/web/i18n/en-US/app.ts index a6649e418a..fe09f42d08 100644 --- a/web/i18n/en-US/app.ts +++ b/web/i18n/en-US/app.ts @@ -23,6 +23,10 @@ const translation = { importFromDSLFile: 'From DSL file', importFromDSLUrl: 'From URL', importFromDSLUrlPlaceholder: 'Paste DSL link here', + dslUploader: { + button: 'Drag and drop file, or', + browse: 'Browse', + }, deleteAppConfirmTitle: 'Delete this app?', deleteAppConfirmContent: 'Deleting the app is irreversible. Users will no longer be able to access your app, and all prompt configurations and logs will be permanently deleted.', diff --git a/web/i18n/en-US/dataset-creation.ts b/web/i18n/en-US/dataset-creation.ts index 480766e34d..54d5a54fb4 100644 --- a/web/i18n/en-US/dataset-creation.ts +++ b/web/i18n/en-US/dataset-creation.ts @@ -36,6 +36,7 @@ const translation = { uploader: { title: 'Upload file', button: 'Drag and drop file or folder, or', + buttonSingleFile: 'Drag and drop file, or', browse: 'Browse', tip: 'Supports {{supportTypes}}. Max {{batchCount}} in a batch and {{size}} MB each.', validation: { diff --git a/web/i18n/es-ES/app-debug.ts b/web/i18n/es-ES/app-debug.ts index dd670fab04..9c01ecdd56 100644 --- a/web/i18n/es-ES/app-debug.ts +++ b/web/i18n/es-ES/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Contenido moderado habilitado', + contentEnableLabel: 'Moderación de contenido habilitada', }, fileUpload: { title: 'Subida de archivos', diff --git a/web/i18n/es-ES/app.ts b/web/i18n/es-ES/app.ts index d8f6a2cec4..f2df9a45a7 100644 --- a/web/i18n/es-ES/app.ts +++ b/web/i18n/es-ES/app.ts @@ -170,6 +170,10 @@ const translation = { }, importFromDSLUrl: 'URL de origen', importFromDSLUrlPlaceholder: 'Pegar enlace DSL aquí', + dslUploader: { + button: 'Arrastrar y soltar archivo, o', + browse: 'Examinar', + }, importFromDSL: 'Importar desde DSL', importFromDSLFile: 'Desde el archivo DSL', mermaid: { diff --git a/web/i18n/es-ES/dataset-creation.ts b/web/i18n/es-ES/dataset-creation.ts index c361884051..d27dda050b 100644 --- a/web/i18n/es-ES/dataset-creation.ts +++ b/web/i18n/es-ES/dataset-creation.ts @@ -26,6 +26,7 @@ const translation = { uploader: { title: 'Cargar archivo', button: 'Arrastre y suelte archivos o carpetas, o', + buttonSingleFile: 'Arrastre y suelte archivo, o', browse: 'Buscar', tip: 'Soporta {{supportTypes}}. Máximo {{size}}MB cada uno.', validation: { diff --git a/web/i18n/es-ES/workflow.ts b/web/i18n/es-ES/workflow.ts index 5801647611..bac4b9c740 100644 --- a/web/i18n/es-ES/workflow.ts +++ b/web/i18n/es-ES/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Zoom al 50%', zoomTo100: 'Zoom al 100%', zoomToFit: 'Ajustar al tamaño', + alignTop: 'Arriba', + alignBottom: 'Fondo', + alignNodes: 'Alinear nodos', + alignCenter: 'Centro', + selectionAlignment: 'Alineación de selección', + horizontal: 'Horizontal', + distributeHorizontal: 'Espaciar horizontalmente', + vertical: 'Vertical', + distributeVertical: 'Espaciar verticalmente', + alignMiddle: 'medio', + alignLeft: 'izquierdo', + alignRight: 'derecho', }, panel: { userInputField: 'Campo de entrada del usuario', diff --git a/web/i18n/fa-IR/app-debug.ts b/web/i18n/fa-IR/app-debug.ts index 333fb68620..f7953b6b67 100644 --- a/web/i18n/fa-IR/app-debug.ts +++ b/web/i18n/fa-IR/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'محتوای متوسط فعال شده است', + contentEnableLabel: 'مدیریت محتوا فعال شده است', }, generate: { title: 'تولید کننده دستورالعمل', diff --git a/web/i18n/fa-IR/app.ts b/web/i18n/fa-IR/app.ts index e28aa1946c..cd848ec21d 100644 --- a/web/i18n/fa-IR/app.ts +++ b/web/i18n/fa-IR/app.ts @@ -19,6 +19,10 @@ const translation = { importFromDSLFile: 'از فایل DSL', importFromDSLUrl: 'از URL', importFromDSLUrlPlaceholder: 'لینک DSL را اینجا بچسبانید', + dslUploader: { + button: 'فایل را بکشید و رها کنید، یا', + browse: 'مرور', + }, deleteAppConfirmTitle: 'آیا این برنامه حذف شود؟', deleteAppConfirmContent: 'حذف برنامه غیرقابل برگشت است. کاربران دیگر قادر به دسترسی به برنامه شما نخواهند بود و تمام تنظیمات و گزارشات درخواست‌ها به صورت دائم حذف خواهند شد.', diff --git a/web/i18n/fa-IR/dataset-creation.ts b/web/i18n/fa-IR/dataset-creation.ts index bf3a03e0c2..105753a249 100644 --- a/web/i18n/fa-IR/dataset-creation.ts +++ b/web/i18n/fa-IR/dataset-creation.ts @@ -28,6 +28,7 @@ const translation = { uploader: { title: 'بارگذاری فایل', button: 'فایل ها یا پوشه ها را بکشید و رها کنید یا', + buttonSingleFile: 'فایل را بکشید و رها کنید یا', browse: 'مرور', tip: 'پشتیبانی از {{supportTypes}}. حداکثر {{size}}MB هر کدام.', validation: { diff --git a/web/i18n/fa-IR/workflow.ts b/web/i18n/fa-IR/workflow.ts index 55086a1a3b..dde4988dc4 100644 --- a/web/i18n/fa-IR/workflow.ts +++ b/web/i18n/fa-IR/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'بزرگ‌نمایی به 50%', zoomTo100: 'بزرگ‌نمایی به 100%', zoomToFit: 'تناسب با اندازه', + horizontal: 'افقی', + alignBottom: 'پایین', + alignRight: 'راست', + vertical: 'عمودی', + alignCenter: 'مرکز', + alignLeft: 'چپ', + distributeVertical: 'فضا عمودی', + distributeHorizontal: 'فضا به صورت افقی', + alignTop: 'بالا', + alignNodes: 'تراز کردن گره ها', + selectionAlignment: 'تراز انتخاب', + alignMiddle: 'میانه', }, panel: { userInputField: 'فیلد ورودی کاربر', diff --git a/web/i18n/fr-FR/app-debug.ts b/web/i18n/fr-FR/app-debug.ts index 9bd08087df..3a1d094006 100644 --- a/web/i18n/fr-FR/app-debug.ts +++ b/web/i18n/fr-FR/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: 'Sorry, but you didn\'t provide a text to translate. Could you please provide the text?', }, }, - contentEnableLabel: 'Activation du contenu modéré', + contentEnableLabel: 'Modération de contenu activée', }, fileUpload: { title: 'Téléchargement de fichier', @@ -242,7 +242,7 @@ const translation = { 'Veuillez attendre que la réponse à la tâche en lot soit terminée.', notSelectModel: 'Veuillez choisir un modèle', waitForImgUpload: 'Veuillez attendre que l\'image soit téléchargée', - waitForFileUpload: 'Veuillez patienter jusqu’à ce que le(s) fichier(s) soit/les fichiers à télécharger', + waitForFileUpload: 'Veuillez patienter pendant le téléchargement du/des fichier(s)', }, chatSubTitle: 'Instructions', completionSubTitle: 'Indicatif de Prompt', diff --git a/web/i18n/fr-FR/app.ts b/web/i18n/fr-FR/app.ts index a34d6a31da..8c0e0f516c 100644 --- a/web/i18n/fr-FR/app.ts +++ b/web/i18n/fr-FR/app.ts @@ -169,7 +169,11 @@ const translation = { descriptionInExplore: 'Utilisation de l’icône web app pour remplacer 🤖 dans Explore', }, importFromDSLUrlPlaceholder: 'Collez le lien DSL ici', - importFromDSL: 'Importation à partir d’une DSL', + dslUploader: { + button: 'Glisser-déposer un fichier, ou', + browse: 'Parcourir', + }, + importFromDSL: 'Importation à partir d\'une DSL', importFromDSLUrl: 'À partir de l’URL', importFromDSLFile: 'À partir d’un fichier DSL', mermaid: { diff --git a/web/i18n/fr-FR/dataset-creation.ts b/web/i18n/fr-FR/dataset-creation.ts index e1a5a85a8b..e306589989 100644 --- a/web/i18n/fr-FR/dataset-creation.ts +++ b/web/i18n/fr-FR/dataset-creation.ts @@ -23,6 +23,7 @@ const translation = { uploader: { title: 'Télécharger le fichier texte', button: 'Faites glisser et déposez des fichiers ou des dossiers, ou', + buttonSingleFile: 'Faites glisser et déposez un fichier, ou', browse: 'Parcourir', tip: 'Prend en charge {{supportTypes}}. Max {{size}}MB chacun.', validation: { diff --git a/web/i18n/fr-FR/workflow.ts b/web/i18n/fr-FR/workflow.ts index 20d5d23cee..bd801fb841 100644 --- a/web/i18n/fr-FR/workflow.ts +++ b/web/i18n/fr-FR/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Zoomer à 50%', zoomTo100: 'Zoomer à 100%', zoomToFit: 'Zoomer pour ajuster', + alignBottom: 'Fond', + alignLeft: 'Gauche', + alignCenter: 'Centre', + alignTop: 'Retour au début', + alignNodes: 'Aligner les nœuds', + distributeHorizontal: 'Espace horizontal', + alignMiddle: 'Milieu', + horizontal: 'Horizontal', + selectionAlignment: 'Alignement de la sélection', + alignRight: 'Droite', + vertical: 'Vertical', + distributeVertical: 'Espace vertical', }, panel: { userInputField: 'Champ de saisie de l\'utilisateur', diff --git a/web/i18n/hi-IN/app-debug.ts b/web/i18n/hi-IN/app-debug.ts index 04b50da9ed..b67c164afe 100644 --- a/web/i18n/hi-IN/app-debug.ts +++ b/web/i18n/hi-IN/app-debug.ts @@ -213,7 +213,7 @@ const translation = { after: 'में कॉन्फ़िगर किए गए ओपनएआई एपीआई कुंजी की आवश्यकता होती है।', }, }, - contentEnableLabel: 'मध्य स्तर की सामग्री सक्षम की गई', + contentEnableLabel: 'सामग्री मॉडरेशन सक्षम है', }, fileUpload: { numberLimit: 'मैक्स अपलोड करता है', diff --git a/web/i18n/hi-IN/app.ts b/web/i18n/hi-IN/app.ts index fc60901452..cce3fe1f4d 100644 --- a/web/i18n/hi-IN/app.ts +++ b/web/i18n/hi-IN/app.ts @@ -172,6 +172,10 @@ const translation = { importFromDSLUrl: 'यूआरएल से', importFromDSL: 'DSL से आयात करें', importFromDSLUrlPlaceholder: 'डीएसएल लिंक यहां पेस्ट करें', + dslUploader: { + button: 'फ़ाइल खींचकर छोड़ें, या', + browse: 'ब्राउज़ करें', + }, mermaid: { handDrawn: 'हाथ खींचा', classic: 'क्लासिक', diff --git a/web/i18n/hi-IN/dataset-creation.ts b/web/i18n/hi-IN/dataset-creation.ts index 64aff7193f..c91946302c 100644 --- a/web/i18n/hi-IN/dataset-creation.ts +++ b/web/i18n/hi-IN/dataset-creation.ts @@ -28,6 +28,7 @@ const translation = { uploader: { title: 'फ़ाइल अपलोड करें', button: 'फ़ाइलों या फ़ोल्डरों को खींचें और छोड़ें, या', + buttonSingleFile: 'फ़ाइल को खींचें और छोड़ें, या', browse: 'ब्राउज़ करें', tip: 'समर्थित {{supportTypes}}। प्रत्येक अधिकतम {{size}}MB।', validation: { diff --git a/web/i18n/hi-IN/workflow.ts b/web/i18n/hi-IN/workflow.ts index 74c5e04097..baeed41d31 100644 --- a/web/i18n/hi-IN/workflow.ts +++ b/web/i18n/hi-IN/workflow.ts @@ -298,6 +298,18 @@ const translation = { zoomTo50: '50% पर ज़ूम करें', zoomTo100: '100% पर ज़ूम करें', zoomToFit: 'फिट करने के लिए ज़ूम करें', + alignRight: 'सही', + alignLeft: 'बाईं ओर', + alignTop: 'शीर्ष', + horizontal: 'क्षैतिज', + alignNodes: 'नोड्स को संरेखित करें', + selectionAlignment: 'चयन संरेखण', + alignCenter: 'केंद्र', + vertical: 'ऊर्ध्वाधर', + distributeHorizontal: 'क्षैतिज स्पेस', + alignBottom: 'तल', + distributeVertical: 'अंतरिक्ष को वर्टिकल रूप से', + alignMiddle: 'मध्य', }, panel: { userInputField: 'उपयोगकर्ता इनपुट फ़ील्ड', diff --git a/web/i18n/it-IT/app-debug.ts b/web/i18n/it-IT/app-debug.ts index 9344c88976..0d00641d99 100644 --- a/web/i18n/it-IT/app-debug.ts +++ b/web/i18n/it-IT/app-debug.ts @@ -215,7 +215,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Abilitato il contenuto moderato', + contentEnableLabel: 'Moderazione dei contenuti abilitata', }, fileUpload: { title: 'Caricamento File', diff --git a/web/i18n/it-IT/app.ts b/web/i18n/it-IT/app.ts index 01ee29423e..9c58c5e803 100644 --- a/web/i18n/it-IT/app.ts +++ b/web/i18n/it-IT/app.ts @@ -178,6 +178,10 @@ const translation = { importFromDSLFile: 'Da file DSL', importFromDSL: 'Importazione da DSL', importFromDSLUrlPlaceholder: 'Incolla qui il link DSL', + dslUploader: { + button: 'Trascina e rilascia il file, o', + browse: 'Sfoglia', + }, mermaid: { handDrawn: 'Disegnato a mano', classic: 'Classico', diff --git a/web/i18n/it-IT/dataset-creation.ts b/web/i18n/it-IT/dataset-creation.ts index 18df6a505f..89b739a0ce 100644 --- a/web/i18n/it-IT/dataset-creation.ts +++ b/web/i18n/it-IT/dataset-creation.ts @@ -28,6 +28,7 @@ const translation = { uploader: { title: 'Carica file', button: 'Trascina e rilascia file o cartelle, oppure', + buttonSingleFile: 'Trascina e rilascia un file, oppure', browse: 'Sfoglia', tip: 'Supporta {{supportTypes}}. Max {{size}}MB ciascuno.', validation: { diff --git a/web/i18n/it-IT/workflow.ts b/web/i18n/it-IT/workflow.ts index d006eba2be..f1fdf5c3fb 100644 --- a/web/i18n/it-IT/workflow.ts +++ b/web/i18n/it-IT/workflow.ts @@ -301,6 +301,18 @@ const translation = { zoomTo50: 'Zoom al 50%', zoomTo100: 'Zoom al 100%', zoomToFit: 'Zoom per Adattare', + alignRight: 'A destra', + selectionAlignment: 'Allineamento della selezione', + alignBottom: 'Fondoschiena', + alignTop: 'In alto', + vertical: 'Verticale', + alignCenter: 'Centro', + alignLeft: 'A sinistra', + alignMiddle: 'Mezzo', + horizontal: 'Orizzontale', + alignNodes: 'Allinea nodi', + distributeHorizontal: 'Spazia orizzontalmente', + distributeVertical: 'Spazia verticalmente', }, panel: { userInputField: 'Campo di Input Utente', diff --git a/web/i18n/ja-JP/app-debug.ts b/web/i18n/ja-JP/app-debug.ts index 66e06950f5..40447ac4e2 100644 --- a/web/i18n/ja-JP/app-debug.ts +++ b/web/i18n/ja-JP/app-debug.ts @@ -163,7 +163,7 @@ const translation = { moderation: { title: 'コンテンツのモデレーション', description: 'モデレーション API を使用するか、機密語リストを維持することで、モデルの出力を安全にします。', - contentEnableLabel: 'モデレート・コンテンツを有効にする', + contentEnableLabel: 'コンテンツモデレーションが有効', allEnabled: '入力/出力コンテンツが有効になっています', inputEnabled: '入力コンテンツが有効になっています', outputEnabled: '出力コンテンツが有効になっています', diff --git a/web/i18n/ja-JP/app.ts b/web/i18n/ja-JP/app.ts index d05bf6c353..3e399debc1 100644 --- a/web/i18n/ja-JP/app.ts +++ b/web/i18n/ja-JP/app.ts @@ -23,6 +23,10 @@ const translation = { importFromDSLFile: 'DSL ファイルから', importFromDSLUrl: 'URL から', importFromDSLUrlPlaceholder: 'DSL リンクをここに貼り付けます', + dslUploader: { + button: 'ファイルをドラッグ＆ドロップするか、', + browse: '参照', + }, deleteAppConfirmTitle: 'このアプリを削除しますか？', deleteAppConfirmContent: 'アプリを削除すると、元に戻すことはできません。他のユーザーはもはやこのアプリにアクセスできず、すべてのプロンプトの設定とログが永久に削除されます。', diff --git a/web/i18n/ja-JP/dataset-creation.ts b/web/i18n/ja-JP/dataset-creation.ts index 262f0cf8d9..439dd75371 100644 --- a/web/i18n/ja-JP/dataset-creation.ts +++ b/web/i18n/ja-JP/dataset-creation.ts @@ -31,6 +31,7 @@ const translation = { uploader: { title: 'テキストファイルをアップロード', button: 'ファイルまたはフォルダをドラッグアンドドロップする', + buttonSingleFile: 'ファイルをドラッグアンドドロップする', browse: '参照', tip: '{{supportTypes}}をサポートしています。1 つあたりの最大サイズは{{size}}MB です。', validation: { diff --git a/web/i18n/ja-JP/workflow.ts b/web/i18n/ja-JP/workflow.ts index a987efdfb1..fa53075585 100644 --- a/web/i18n/ja-JP/workflow.ts +++ b/web/i18n/ja-JP/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: '50% サイズ', zoomTo100: '等倍表示', zoomToFit: '画面に合わせる', + horizontal: '横', + alignBottom: '底', + alignNodes: 'ノードを整列させる', + vertical: '垂直', + alignLeft: '左', + alignTop: 'トップ', + alignRight: '右', + alignMiddle: '中間', + distributeVertical: '垂直にスペースを', + alignCenter: 'センター', + selectionAlignment: '選択の整列', + distributeHorizontal: '空間を水平方向に', }, variableReference: { noAvailableVars: '利用可能な変数がありません', diff --git a/web/i18n/ko-KR/app-debug.ts b/web/i18n/ko-KR/app-debug.ts index 8bf509ae12..63561ddb8f 100644 --- a/web/i18n/ko-KR/app-debug.ts +++ b/web/i18n/ko-KR/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '에 OpenAI API 키가 설정되어 있어야 합니다.', }, }, - contentEnableLabel: '중간 콘텐츠 사용', + contentEnableLabel: '콘텐츠 모더레이션이 활성화됨', }, fileUpload: { title: '파일 업로드', diff --git a/web/i18n/ko-KR/app.ts b/web/i18n/ko-KR/app.ts index f0d666301a..5ddb823998 100644 --- a/web/i18n/ko-KR/app.ts +++ b/web/i18n/ko-KR/app.ts @@ -189,6 +189,10 @@ const translation = { importFromDSLFile: 'DSL 파일에서', importFromDSLUrl: 'URL 에서', importFromDSLUrlPlaceholder: '여기에 DSL 링크 붙여 넣기', + dslUploader: { + button: '파일을 드래그 앤 드롭하거나', + browse: '찾아보기', + }, mermaid: { handDrawn: '손으로 그린', classic: '고전', diff --git a/web/i18n/ko-KR/dataset-creation.ts b/web/i18n/ko-KR/dataset-creation.ts index 1c03b0ae7d..ffc00c48ea 100644 --- a/web/i18n/ko-KR/dataset-creation.ts +++ b/web/i18n/ko-KR/dataset-creation.ts @@ -21,6 +21,7 @@ const translation = { uploader: { title: '텍스트 파일 업로드', button: '파일이나 폴더를 끌어서 놓기', + buttonSingleFile: '파일을 끌어서 놓기', browse: '찾아보기', tip: '{{supportTypes}}을 (를) 지원합니다. 파일당 최대 크기는 {{size}}MB 입니다.', validation: { diff --git a/web/i18n/ko-KR/workflow.ts b/web/i18n/ko-KR/workflow.ts index bc3ed580b6..ca83ae3b10 100644 --- a/web/i18n/ko-KR/workflow.ts +++ b/web/i18n/ko-KR/workflow.ts @@ -308,6 +308,18 @@ const translation = { zoomTo50: '50% 로 확대', zoomTo100: '100% 로 확대', zoomToFit: '화면에 맞게 확대', + alignCenter: '중', + alignRight: '오른쪽', + alignLeft: '왼쪽', + vertical: '세로', + alignTop: '맨 위로', + alignMiddle: '중간', + alignNodes: '노드 정렬', + distributeVertical: '수직 공간', + horizontal: '가로', + selectionAlignment: '선택 정렬', + alignBottom: '밑바닥', + distributeHorizontal: '수평 공간', }, panel: { userInputField: '사용자 입력 필드', diff --git a/web/i18n/pl-PL/app.ts b/web/i18n/pl-PL/app.ts index 8751dedc99..0a5e6a56d1 100644 --- a/web/i18n/pl-PL/app.ts +++ b/web/i18n/pl-PL/app.ts @@ -173,6 +173,10 @@ const translation = { importFromDSLUrl: 'Z adresu URL', importFromDSLFile: 'Z pliku DSL', importFromDSLUrlPlaceholder: 'Wklej tutaj link DSL', + dslUploader: { + button: 'Przeciągnij i upuść plik, lub', + browse: 'Przeglądaj', + }, mermaid: { handDrawn: 'Ręcznie rysowane', classic: 'Klasyczny', diff --git a/web/i18n/pl-PL/dataset-creation.ts b/web/i18n/pl-PL/dataset-creation.ts index 83e6eab96b..28e400fd22 100644 --- a/web/i18n/pl-PL/dataset-creation.ts +++ b/web/i18n/pl-PL/dataset-creation.ts @@ -23,6 +23,7 @@ const translation = { uploader: { title: 'Prześlij plik tekstowy', button: 'Przeciągnij i upuść pliki lub foldery lub', + buttonSingleFile: 'Przeciągnij i upuść plik lub', browse: 'Przeglądaj', tip: 'Obsługuje {{supportTypes}}. Maksymalnie {{size}}MB każdy.', validation: { diff --git a/web/i18n/pl-PL/workflow.ts b/web/i18n/pl-PL/workflow.ts index 29ab3ff182..132d050868 100644 --- a/web/i18n/pl-PL/workflow.ts +++ b/web/i18n/pl-PL/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Powiększ do 50%', zoomTo100: 'Powiększ do 100%', zoomToFit: 'Dopasuj do ekranu', + alignMiddle: 'Środek', + alignTop: 'Do góry', + distributeHorizontal: 'Odstęp w poziomie', + alignCenter: 'Centrum', + alignRight: 'Prawy', + alignNodes: 'Wyrównywanie węzłów', + selectionAlignment: 'Wyrównanie zaznaczenia', + horizontal: 'Poziomy', + distributeVertical: 'Przestrzeń w pionie', + alignBottom: 'Dno', + alignLeft: 'Lewy', + vertical: 'Pionowy', }, panel: { userInputField: 'Pole wprowadzania użytkownika', diff --git a/web/i18n/pt-BR/app-debug.ts b/web/i18n/pt-BR/app-debug.ts index fd158acdc8..cd955fe7da 100644 --- a/web/i18n/pt-BR/app-debug.ts +++ b/web/i18n/pt-BR/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Conteúdo moderado habilitado', + contentEnableLabel: 'Moderação de conteúdo habilitada', }, fileUpload: { title: 'Upload de Arquivo', diff --git a/web/i18n/pt-BR/app.ts b/web/i18n/pt-BR/app.ts index 1f44ae9e5a..bbb420351c 100644 --- a/web/i18n/pt-BR/app.ts +++ b/web/i18n/pt-BR/app.ts @@ -169,6 +169,10 @@ const translation = { title: 'Use o ícone do web app para substituir 🤖', }, importFromDSLUrlPlaceholder: 'Cole o link DSL aqui', + dslUploader: { + button: 'Arraste e solte o arquivo, ou', + browse: 'Navegar', + }, importFromDSLUrl: 'Do URL', importFromDSLFile: 'Do arquivo DSL', importFromDSL: 'Importar de DSL', diff --git a/web/i18n/pt-BR/dataset-creation.ts b/web/i18n/pt-BR/dataset-creation.ts index db3b5af302..e2668c818f 100644 --- a/web/i18n/pt-BR/dataset-creation.ts +++ b/web/i18n/pt-BR/dataset-creation.ts @@ -23,6 +23,7 @@ const translation = { uploader: { title: 'Enviar arquivo de texto', button: 'Arraste e solte arquivos ou pastas, ou', + buttonSingleFile: 'Arraste e solte um arquivo, ou', browse: 'Navegar', tip: 'Suporta {{supportTypes}}. Máximo de {{size}}MB cada.', validation: { diff --git a/web/i18n/pt-BR/workflow.ts b/web/i18n/pt-BR/workflow.ts index 8c6c3df90a..e705641666 100644 --- a/web/i18n/pt-BR/workflow.ts +++ b/web/i18n/pt-BR/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Aproximar para 50%', zoomTo100: 'Aproximar para 100%', zoomToFit: 'Aproximar para ajustar', + vertical: 'Vertical', + alignNodes: 'Alinhar nós', + selectionAlignment: 'Alinhamento de seleção', + alignLeft: 'Esquerda', + alignBottom: 'Fundo', + distributeHorizontal: 'Espaço horizontalmente', + alignMiddle: 'Meio', + alignRight: 'Certo', + horizontal: 'Horizontal', + distributeVertical: 'Espaço Verticalmente', + alignCenter: 'Centro', + alignTop: 'Início', }, panel: { userInputField: 'Campo de entrada do usuário', diff --git a/web/i18n/ro-RO/app-debug.ts b/web/i18n/ro-RO/app-debug.ts index d8b455e4e0..fd56179a04 100644 --- a/web/i18n/ro-RO/app-debug.ts +++ b/web/i18n/ro-RO/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Conținut moderat activat', + contentEnableLabel: 'Moderarea conținutului activată', }, fileUpload: { title: 'Încărcare fișier', diff --git a/web/i18n/ro-RO/app.ts b/web/i18n/ro-RO/app.ts index 2559eea20f..73b01ac704 100644 --- a/web/i18n/ro-RO/app.ts +++ b/web/i18n/ro-RO/app.ts @@ -171,6 +171,10 @@ const translation = { importFromDSL: 'Import din DSL', importFromDSLUrl: 'De la URL', importFromDSLUrlPlaceholder: 'Lipiți linkul DSL aici', + dslUploader: { + button: 'Trageți și plasați fișierul, sau', + browse: 'Răsfoiți', + }, importFromDSLFile: 'Din fișierul DSL', mermaid: { handDrawn: 'Desenat de mână', diff --git a/web/i18n/ro-RO/dataset-creation.ts b/web/i18n/ro-RO/dataset-creation.ts index 77c3bce88a..0849d4dc87 100644 --- a/web/i18n/ro-RO/dataset-creation.ts +++ b/web/i18n/ro-RO/dataset-creation.ts @@ -23,6 +23,7 @@ const translation = { uploader: { title: 'Încărcați fișier text', button: 'Trageți și plasați fișiere sau foldere sau', + buttonSingleFile: 'Trageți și plasați un fișier sau', browse: 'Răsfoire', tip: 'Acceptă {{supportTypes}}. Maxim {{size}}MB fiecare.', validation: { diff --git a/web/i18n/ro-RO/workflow.ts b/web/i18n/ro-RO/workflow.ts index a994edd78f..5b90ce5abc 100644 --- a/web/i18n/ro-RO/workflow.ts +++ b/web/i18n/ro-RO/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Mărește la 50%', zoomTo100: 'Mărește la 100%', zoomToFit: 'Mărește pentru a se potrivi', + horizontal: 'Orizontal', + selectionAlignment: 'Alinierea selecției', + vertical: 'Vertical', + alignRight: 'Dreapta', + alignLeft: 'Stânga', + alignMiddle: 'Mijloc', + distributeVertical: 'Spațiu vertical', + alignCenter: 'Centru', + distributeHorizontal: 'Spațiu orizontal', + alignBottom: 'Fund', + alignTop: 'Culme', + alignNodes: 'Alinierea nodurilor', }, panel: { userInputField: 'Câmp de introducere utilizator', diff --git a/web/i18n/ru-RU/app-debug.ts b/web/i18n/ru-RU/app-debug.ts index 0ff97c6cca..b56f7c443d 100644 --- a/web/i18n/ru-RU/app-debug.ts +++ b/web/i18n/ru-RU/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Включен модерируемый контент', + contentEnableLabel: 'Модерация контента включена', }, fileUpload: { title: 'Загрузка файлов', diff --git a/web/i18n/ru-RU/app.ts b/web/i18n/ru-RU/app.ts index bc15d16ee1..fa7b79a377 100644 --- a/web/i18n/ru-RU/app.ts +++ b/web/i18n/ru-RU/app.ts @@ -19,6 +19,10 @@ const translation = { importFromDSLFile: 'Из файла DSL', importFromDSLUrl: 'Из URL', importFromDSLUrlPlaceholder: 'Вставьте ссылку DSL сюда', + dslUploader: { + button: 'Перетащите файл, или', + browse: 'Обзор', + }, deleteAppConfirmTitle: 'Удалить это приложение?', deleteAppConfirmContent: 'Удаление приложения необратимо. Пользователи больше не смогут получить доступ к вашему приложению, и все настройки подсказок и журналы будут безвозвратно удалены.', diff --git a/web/i18n/ru-RU/dataset-creation.ts b/web/i18n/ru-RU/dataset-creation.ts index 49b2f2087c..bf2532836c 100644 --- a/web/i18n/ru-RU/dataset-creation.ts +++ b/web/i18n/ru-RU/dataset-creation.ts @@ -28,6 +28,7 @@ const translation = { uploader: { title: 'Загрузить файл', button: 'Перетащите файлы или папки или', + buttonSingleFile: 'Перетащите файл или', browse: 'Обзор', tip: 'Поддерживаются {{supportTypes}}. Максимум {{size}} МБ каждый.', validation: { diff --git a/web/i18n/ru-RU/workflow.ts b/web/i18n/ru-RU/workflow.ts index 81534334b4..0fff591b50 100644 --- a/web/i18n/ru-RU/workflow.ts +++ b/web/i18n/ru-RU/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Масштаб 50%', zoomTo100: 'Масштаб 100%', zoomToFit: 'По размеру', + alignTop: 'Вверх', + alignBottom: 'Дно', + alignRight: 'Правильно', + distributeHorizontal: 'Пространство по горизонтали', + alignMiddle: 'Середина', + vertical: 'Вертикальный', + alignCenter: 'Центр', + alignLeft: 'Налево', + selectionAlignment: 'Выравнивание выделения', + horizontal: 'Горизонтальный', + alignNodes: 'Выравнивание узлов', + distributeVertical: 'Пространство по вертикали', }, panel: { userInputField: 'Поле ввода пользователя', diff --git a/web/i18n/sl-SI/app-debug.ts b/web/i18n/sl-SI/app-debug.ts index 6e02a0d586..428a5d106c 100644 --- a/web/i18n/sl-SI/app-debug.ts +++ b/web/i18n/sl-SI/app-debug.ts @@ -197,7 +197,7 @@ const translation = { before: 'Za moderiranje OpenAI potrebujete ključ OpenAI API, konfiguriran v', }, }, - contentEnableLabel: 'Omogočena zmerna vsebina', + contentEnableLabel: 'Moderiranje vsebine omogočeno', }, debug: { title: 'Odpravljanje napak', diff --git a/web/i18n/sl-SI/app.ts b/web/i18n/sl-SI/app.ts index 61c479e65f..0d286b4c13 100644 --- a/web/i18n/sl-SI/app.ts +++ b/web/i18n/sl-SI/app.ts @@ -19,6 +19,10 @@ const translation = { importFromDSLFile: 'Iz datoteke DSL', importFromDSLUrl: 'Iz URL-ja', importFromDSLUrlPlaceholder: 'Tukaj prilepi povezavo DSL', + dslUploader: { + button: 'Povlecite in spustite datoteko, ali', + browse: 'Prebrskaj', + }, deleteAppConfirmTitle: 'Izbrišem to aplikacijo?', deleteAppConfirmContent: 'Brisanje aplikacije je nepopravljivo. Uporabniki ne bodo več imeli dostopa do vaše aplikacije, vse konfiguracije in dnevniki pa bodo trajno izbrisani.', diff --git a/web/i18n/sl-SI/dataset-creation.ts b/web/i18n/sl-SI/dataset-creation.ts index bbe98799d2..08e65c2437 100644 --- a/web/i18n/sl-SI/dataset-creation.ts +++ b/web/i18n/sl-SI/dataset-creation.ts @@ -33,6 +33,7 @@ const translation = { uploader: { title: 'Naloži datoteko', button: 'Povleci in spusti datoteke ali mape oz', + buttonSingleFile: 'Povleci in spusti datoteko oz', browse: 'Prebrskaj', tip: 'Podprti tipi datotek: {{supportTypes}}. Največ {{size}}MB na datoteko.', validation: { diff --git a/web/i18n/sl-SI/workflow.ts b/web/i18n/sl-SI/workflow.ts index da8d19aa06..c544a9a35c 100644 --- a/web/i18n/sl-SI/workflow.ts +++ b/web/i18n/sl-SI/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomIn: 'Zoom in', zoomTo50: 'Povečaj na 50%', zoomTo100: 'Povečaj na 100%', + alignMiddle: 'Srednji', + alignBottom: 'Dno', + alignCenter: 'Center', + distributeVertical: 'Razmik navpično', + alignRight: 'Desno', + alignTop: 'Vrh', + vertical: 'Navpičen', + distributeHorizontal: 'Razmik vodoravno', + selectionAlignment: 'Poravnava izbora', + alignNodes: 'Poravnava vozlišč', + horizontal: 'Vodoraven', + alignLeft: 'Levo', }, variableReference: { conversationVars: 'pogovorne spremenljivke', diff --git a/web/i18n/th-TH/app-debug.ts b/web/i18n/th-TH/app-debug.ts index 303b91353a..9517fc919b 100644 --- a/web/i18n/th-TH/app-debug.ts +++ b/web/i18n/th-TH/app-debug.ts @@ -173,7 +173,7 @@ const translation = { }, title: 'การตั้งค่าการกลั่นกรองเนื้อหา', }, - contentEnableLabel: 'เปิดใช้งานเนื้อหากลั่นกรอง', + contentEnableLabel: 'การกลั่นกรองเนื้อหาเปิดใช้งานแล้ว', outputEnabled: 'ผลิตภัณฑ์', title: 'การกลั่นกรองเนื้อหา', allEnabled: 'อินพุต & เอาต์พุต', diff --git a/web/i18n/th-TH/app.ts b/web/i18n/th-TH/app.ts index d0e3394ff8..adb377d6fc 100644 --- a/web/i18n/th-TH/app.ts +++ b/web/i18n/th-TH/app.ts @@ -19,6 +19,10 @@ const translation = { importFromDSLFile: 'จากไฟล์ DSL', importFromDSLUrl: 'จาก URL', importFromDSLUrlPlaceholder: 'วางลิงค์ DSL ที่นี่', + dslUploader: { + button: 'ลากและวางไฟล์ หรือ', + browse: 'เรียกดู', + }, deleteAppConfirmTitle: 'ลบโปรเจกต์นี้?', deleteAppConfirmContent: 'การลบโปรเจกนั้นไม่สามารถย้อนกลับได้ ผู้ใช้จะไม่สามารถเข้าถึงโปรเจกต์ของคุณอีกต่อไป และการกําหนดค่าต่างๆและบันทึกทั้งหมดจะถูกลบอย่างถาวร', appDeleted: 'โปรเจกต์ถูกลบ', diff --git a/web/i18n/th-TH/dataset-creation.ts b/web/i18n/th-TH/dataset-creation.ts index cd318984b1..795444cfab 100644 --- a/web/i18n/th-TH/dataset-creation.ts +++ b/web/i18n/th-TH/dataset-creation.ts @@ -33,6 +33,7 @@ const translation = { uploader: { title: 'อัปโหลดไฟล์', button: 'ลากและวางไฟล์หรือโฟลเดอร์หรือ', + buttonSingleFile: 'ลากและวางไฟล์หรือ', browse: 'เล็ม', tip: 'รองรับ {{supportTypes}} สูงสุด {{size}}MB แต่ละตัว', validation: { diff --git a/web/i18n/th-TH/workflow.ts b/web/i18n/th-TH/workflow.ts index 78a49716b0..bcab73d7c4 100644 --- a/web/i18n/th-TH/workflow.ts +++ b/web/i18n/th-TH/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'ซูมไปที่ 50%', zoomTo100: 'ซูมไปที่ 100%', zoomToFit: 'ซูมให้พอดี', + alignBottom: 'ก้น', + alignCenter: 'ศูนย์กลาง', + alignMiddle: 'กลาง', + horizontal: 'แนวราบ', + vertical: 'ซึ่งตั้งตรง', + alignTop: 'ด้านบน', + distributeVertical: 'พื้นที่ในแนวตั้ง', + alignLeft: 'ซ้าย', + selectionAlignment: 'การจัดตําแหน่งการเลือก', + distributeHorizontal: 'ช่องว่างในแนวนอน', + alignRight: 'ขวา', + alignNodes: 'จัดตําแหน่งโหนด', }, panel: { userInputField: 'ฟิลด์ป้อนข้อมูลของผู้ใช้', diff --git a/web/i18n/tr-TR/app-debug.ts b/web/i18n/tr-TR/app-debug.ts index 152a00e428..bec24745c0 100644 --- a/web/i18n/tr-TR/app-debug.ts +++ b/web/i18n/tr-TR/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Etkin modere içerik', + contentEnableLabel: 'İçerik denetimi etkin', }, fileUpload: { title: 'Dosya Yükleme', diff --git a/web/i18n/tr-TR/app.ts b/web/i18n/tr-TR/app.ts index 1852ee29d2..61a7eb926e 100644 --- a/web/i18n/tr-TR/app.ts +++ b/web/i18n/tr-TR/app.ts @@ -19,6 +19,10 @@ const translation = { importFromDSLFile: 'DSL dosyasından', importFromDSLUrl: 'URL\'den', importFromDSLUrlPlaceholder: 'DSL bağlantısını buraya yapıştır', + dslUploader: { + button: 'Dosyayı sürükleyip bırakın veya', + browse: 'Gözat', + }, deleteAppConfirmTitle: 'Bu uygulamayı silmek istiyor musunuz?', deleteAppConfirmContent: 'Uygulamanın silinmesi geri alınamaz. Kullanıcılar artık uygulamanıza erişemeyecek ve tüm prompt yapılandırmaları ile loglar kalıcı olarak silinecektir.', appDeleted: 'Uygulama silindi', diff --git a/web/i18n/tr-TR/dataset-creation.ts b/web/i18n/tr-TR/dataset-creation.ts index 41dc49b7ca..32fb8165eb 100644 --- a/web/i18n/tr-TR/dataset-creation.ts +++ b/web/i18n/tr-TR/dataset-creation.ts @@ -28,6 +28,7 @@ const translation = { uploader: { title: 'Dosya yükle', button: 'Dosyaları veya klasörleri sürükleyip bırakın veya', + buttonSingleFile: 'Dosyayı sürükleyip bırakın veya', browse: 'Göz atın', tip: 'Destekler {{supportTypes}}. Her biri en fazla {{size}}MB.', validation: { diff --git a/web/i18n/tr-TR/workflow.ts b/web/i18n/tr-TR/workflow.ts index 00310524de..379c2c30e1 100644 --- a/web/i18n/tr-TR/workflow.ts +++ b/web/i18n/tr-TR/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: '%50 Yakınlaştır', zoomTo100: '%100 Yakınlaştır', zoomToFit: 'Sığdıracak Şekilde Yakınlaştır', + alignCenter: 'Orta', + alignMiddle: 'Orta', + alignLeft: 'Sol', + alignNodes: 'Düğümleri Hizala', + vertical: 'Dikey', + alignRight: 'Sağ', + alignTop: 'Sayfanın Üstü', + alignBottom: 'Dip', + selectionAlignment: 'Seçim Hizalama', + distributeHorizontal: 'Yatay Boşluk', + horizontal: 'Yatay', + distributeVertical: 'Dikey Boşluk', }, panel: { userInputField: 'Kullanıcı Giriş Alanı', diff --git a/web/i18n/uk-UA/app-debug.ts b/web/i18n/uk-UA/app-debug.ts index 4a9d77b761..309aedf62e 100644 --- a/web/i18n/uk-UA/app-debug.ts +++ b/web/i18n/uk-UA/app-debug.ts @@ -202,7 +202,7 @@ const translation = { after: '', }, }, - contentEnableLabel: 'Увімкнено помірний контент', + contentEnableLabel: 'Модерація контенту увімкнена', }, fileUpload: { title: 'Завантаження файлу', diff --git a/web/i18n/uk-UA/app.ts b/web/i18n/uk-UA/app.ts index 77b98beebe..aab4498acb 100644 --- a/web/i18n/uk-UA/app.ts +++ b/web/i18n/uk-UA/app.ts @@ -171,6 +171,10 @@ const translation = { importFromDSLUrl: 'З URL', importFromDSL: 'Імпорт з DSL', importFromDSLUrlPlaceholder: 'Вставте посилання на DSL тут', + dslUploader: { + button: 'Перетягніть файл, або', + browse: 'Огляд', + }, importFromDSLFile: 'З DSL-файлу', mermaid: { handDrawn: 'Намальовані від руки', diff --git a/web/i18n/uk-UA/dataset-creation.ts b/web/i18n/uk-UA/dataset-creation.ts index 72b7a8c05c..8ea32c0d81 100644 --- a/web/i18n/uk-UA/dataset-creation.ts +++ b/web/i18n/uk-UA/dataset-creation.ts @@ -23,6 +23,7 @@ const translation = { uploader: { title: 'Завантажити текстовий файл', button: 'Перетягніть файли або папки або', + buttonSingleFile: 'Перетягніть файл або', browse: 'Оберіть', tip: 'Підтримуються {{supportTypes}}. Максимум {{size}} МБ кожен.', validation: { diff --git a/web/i18n/uk-UA/workflow.ts b/web/i18n/uk-UA/workflow.ts index fd6e71adf4..e174b0f103 100644 --- a/web/i18n/uk-UA/workflow.ts +++ b/web/i18n/uk-UA/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Збільшити до 50%', zoomTo100: 'Збільшити до 100%', zoomToFit: 'Збільшити для підгонки', + alignCenter: 'Центр', + alignRight: 'Праворуч', + vertical: 'Вертикальні', + alignBottom: 'Низ', + alignLeft: 'Ліворуч', + alignTop: 'Верх', + horizontal: 'Горизонтальні', + alignMiddle: 'Середній', + distributeVertical: 'Простір по вертикалі', + distributeHorizontal: 'Простір по горизонталі', + selectionAlignment: 'Вирівнювання вибору', + alignNodes: 'Вирівнювання вузлів', }, panel: { userInputField: 'Поле введення користувача', diff --git a/web/i18n/vi-VN/app.ts b/web/i18n/vi-VN/app.ts index 7a992bef77..00e1a0bd5a 100644 --- a/web/i18n/vi-VN/app.ts +++ b/web/i18n/vi-VN/app.ts @@ -171,6 +171,10 @@ const translation = { importFromDSLFile: 'Từ tệp DSL', importFromDSL: 'Nhập từ DSL', importFromDSLUrlPlaceholder: 'Dán liên kết DSL vào đây', + dslUploader: { + button: 'Kéo và thả tệp, hoặc', + browse: 'Duyệt', + }, importFromDSLUrl: 'Từ URL', mermaid: { handDrawn: 'Vẽ tay', diff --git a/web/i18n/vi-VN/dataset-creation.ts b/web/i18n/vi-VN/dataset-creation.ts index 34ef374500..39215fde68 100644 --- a/web/i18n/vi-VN/dataset-creation.ts +++ b/web/i18n/vi-VN/dataset-creation.ts @@ -23,6 +23,7 @@ const translation = { uploader: { title: 'Tải lên tệp văn bản', button: 'Kéo và thả các tập tin hoặc thư mục, hoặc', + buttonSingleFile: 'Kéo và thả tệp hoặc', browse: 'Chọn tệp', tip: 'Hỗ trợ {{supportTypes}}. Tối đa {{size}}MB mỗi tệp.', validation: { diff --git a/web/i18n/vi-VN/workflow.ts b/web/i18n/vi-VN/workflow.ts index 6898ec9a88..79265c3f72 100644 --- a/web/i18n/vi-VN/workflow.ts +++ b/web/i18n/vi-VN/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: 'Phóng to 50%', zoomTo100: 'Phóng to 100%', zoomToFit: 'Phóng to vừa màn hình', + alignBottom: 'Đáy', + alignMiddle: 'Trung', + alignRight: 'Bên phải', + alignNodes: 'Căn chỉnh các nút', + alignLeft: 'Bên trái', + horizontal: 'Ngang', + alignCenter: 'Trung tâm', + alignTop: 'Đỉnh', + distributeVertical: 'Không gian theo chiều dọc', + selectionAlignment: 'Căn chỉnh lựa chọn', + distributeHorizontal: 'Không gian theo chiều ngang', + vertical: 'Thẳng đứng', }, panel: { userInputField: 'Trường đầu vào của người dùng', diff --git a/web/i18n/zh-Hans/app-debug.ts b/web/i18n/zh-Hans/app-debug.ts index a8c8ff4406..2f5943578f 100644 --- a/web/i18n/zh-Hans/app-debug.ts +++ b/web/i18n/zh-Hans/app-debug.ts @@ -163,7 +163,7 @@ const translation = { moderation: { title: '内容审查', description: '您可以调用审查 API 或者维护敏感词库来使模型更安全地输出。', - contentEnableLabel: '启用审查内容', + contentEnableLabel: '内容审查已启用', allEnabled: '输入内容和输出内容', inputEnabled: '输入内容', outputEnabled: '输出内容', diff --git a/web/i18n/zh-Hans/app.ts b/web/i18n/zh-Hans/app.ts index 1366c06a9a..539c6409c8 100644 --- a/web/i18n/zh-Hans/app.ts +++ b/web/i18n/zh-Hans/app.ts @@ -23,6 +23,10 @@ const translation = { importFromDSLFile: '文件', importFromDSLUrl: 'URL', importFromDSLUrlPlaceholder: '输入 DSL 文件的 URL', + dslUploader: { + button: '拖拽文件至此，或者', + browse: '选择文件', + }, deleteAppConfirmTitle: '确认删除应用？', deleteAppConfirmContent: '删除应用将无法撤销。用户将不能访问你的应用，所有 Prompt 编排配置和日志均将一并被删除。', diff --git a/web/i18n/zh-Hans/dataset-creation.ts b/web/i18n/zh-Hans/dataset-creation.ts index 310cb9dff3..5b1ff2435c 100644 --- a/web/i18n/zh-Hans/dataset-creation.ts +++ b/web/i18n/zh-Hans/dataset-creation.ts @@ -36,6 +36,7 @@ const translation = { uploader: { title: '上传文本文件', button: '拖拽文件或文件夹至此，或者', + buttonSingleFile: '拖拽文件至此，或者', browse: '选择文件', tip: '已支持 {{supportTypes}}，每批最多 {{batchCount}} 个文件，每个文件不超过 {{size}} MB。', validation: { diff --git a/web/i18n/zh-Hant/app-debug.ts b/web/i18n/zh-Hant/app-debug.ts index 5309f03da3..dc559acc37 100644 --- a/web/i18n/zh-Hant/app-debug.ts +++ b/web/i18n/zh-Hant/app-debug.ts @@ -197,7 +197,7 @@ const translation = { after: '中配置 OpenAI API 金鑰。', }, }, - contentEnableLabel: '啟用了中等內容', + contentEnableLabel: '內容審查已啟用', }, fileUpload: { title: '檔案上傳', @@ -239,7 +239,7 @@ const translation = { waitForBatchResponse: '請等待批次任務完成', notSelectModel: '請選擇模型', waitForImgUpload: '請等待圖片上傳完成', - waitForFileUpload: '請等待檔上傳', + waitForFileUpload: '請等待檔案上傳完成', }, chatSubTitle: '提示詞', completionSubTitle: '字首提示詞', diff --git a/web/i18n/zh-Hant/app.ts b/web/i18n/zh-Hant/app.ts index 0bf99d5067..8d1cc69f2a 100644 --- a/web/i18n/zh-Hant/app.ts +++ b/web/i18n/zh-Hant/app.ts @@ -171,6 +171,10 @@ const translation = { importFromDSL: '從 DSL 導入', importFromDSLFile: '從 DSL 檔', importFromDSLUrlPlaceholder: '在此處貼上 DSL 連結', + dslUploader: { + button: '拖拽檔案至此，或者', + browse: '選擇檔案', + }, mermaid: { handDrawn: '手繪', classic: '經典', diff --git a/web/i18n/zh-Hant/dataset-creation.ts b/web/i18n/zh-Hant/dataset-creation.ts index e99fb0c320..3f39691e0b 100644 --- a/web/i18n/zh-Hant/dataset-creation.ts +++ b/web/i18n/zh-Hant/dataset-creation.ts @@ -21,6 +21,7 @@ const translation = { uploader: { title: '上傳文字檔案', button: '拖拽檔案或檔案夾至此，或者', + buttonSingleFile: '拖拽檔案至此，或者', browse: '選擇檔案', tip: '已支援 {{supportTypes}}，每個檔案不超過 {{size}}MB。', validation: { diff --git a/web/i18n/zh-Hant/workflow.ts b/web/i18n/zh-Hant/workflow.ts index ce10ad387f..41d64f14d7 100644 --- a/web/i18n/zh-Hant/workflow.ts +++ b/web/i18n/zh-Hant/workflow.ts @@ -287,6 +287,18 @@ const translation = { zoomTo50: '縮放到 50%', zoomTo100: '放大到 100%', zoomToFit: '自適應視圖', + alignNodes: '對齊節點（Align Nodes）', + distributeVertical: '垂直空間', + alignLeft: '左', + distributeHorizontal: '水平空間', + vertical: '垂直', + alignTop: '返回頁首', + alignCenter: '中心', + horizontal: '水準', + selectionAlignment: '選擇對齊', + alignRight: '右', + alignBottom: '底', + alignMiddle: '中間', }, panel: { userInputField: '用戶輸入字段', diff --git a/web/service/access-control.ts b/web/service/access-control.ts index d4cc9eb792..18dc9e0001 100644 --- a/web/service/access-control.ts +++ b/web/service/access-control.ts @@ -70,7 +70,7 @@ export const useUpdateAccessMode = () => { }) } -export const useGetUserCanAccessApp = ({ appId, isInstalledApp = true }: { appId?: string; isInstalledApp?: boolean; }) => { +export const useGetUserCanAccessApp = ({ appId, isInstalledApp = true, enabled }: { appId?: string; isInstalledApp?: boolean; enabled?: boolean }) => { const systemFeatures = useGlobalPublicStore(s => s.systemFeatures) return useQuery({ queryKey: [NAME_SPACE, 'user-can-access-app', appId], @@ -80,7 +80,7 @@ export const useGetUserCanAccessApp = ({ appId, isInstalledApp = true }: { appId else return { result: true } }, - enabled: !!appId, + enabled: enabled !== undefined ? enabled : !!appId, staleTime: 0, gcTime: 0, })