Every document-processing failure surfaced as "the document could not be processed", and every data-source failure as "the source could not be read", because the root cause was erased at three points: the compilation classifier collapsed any coded-but-non-retryable error into DOCUMENT_COMPILATION_FAILED, datasource runtime errors were reduced to per-operation constants, and the console mapped dozens of codes onto a handful of generic sentences without the stage or a support reference. - knowledge-fs: keep the specific public code for any coded error in the compilation classifier (retry follows the error or the catalog policy), tag previously uncoded failures (semantic chunking output, embedding dimension, PDF rendering, lease loss, generation model, unsupported file type) with public codes, give embedding provider errors their own codes instead of the parser's, alias datasource runtime codes, and register 17 catalog entries (model response invalid, parser unsupported type, PDF render, crawl page not found, provider timeout/unavailable/rejected, content too large, ...). - api: extend the public error-code enum (including the missing DOCUMENT_PARSER_TIMEOUT) and regenerate the contracts. - web: per-code copy that says what happened and what to do, in all 24 locales, plus a "failed while <stage> · reference <id>" line under each failed task in the background-task drawer and the document task list. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015zw5G5SX3HmVfnZof6YWAc |
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|---|---|---|
| .. | ||
| .idea | ||
| .vscode | ||
| clients | ||
| commands | ||
| configs | ||
| constants | ||
| context | ||
| contexts | ||
| controllers | ||
| core | ||
| dev | ||
| docker | ||
| enterprise | ||
| enums | ||
| events | ||
| extensions | ||
| factories | ||
| fields | ||
| libs | ||
| machinery | ||
| migrations | ||
| models | ||
| openapi/markdown | ||
| providers | ||
| repositories | ||
| schedule | ||
| services | ||
| tasks | ||
| templates | ||
| tests | ||
| .dockerignore | ||
| .env.example | ||
| .importlinter | ||
| .ruff.toml | ||
| AGENTS.md | ||
| app_factory.py | ||
| app.py | ||
| celery_entrypoint.py | ||
| celery_healthcheck.py | ||
| cnt_base.sh | ||
| conftest.py | ||
| dify_app.py | ||
| Dockerfile | ||
| Dockerfile.dockerignore | ||
| gunicorn.conf.py | ||
| knowledge-fs-contract.lock.json | ||
| knowledge-fs-product-operation-gaps.json | ||
| knowledge-fs-product-operations.json | ||
| pyproject.toml | ||
| pyrefly-local-excludes.txt | ||
| pytest.ini | ||
| README.md | ||
| uv.lock | ||
Dify Backend API
Setup and Run
Important
In the v1.3.0 release,
poetryhas been replaced withuvas the package manager for Dify API backend service.
uv and pnpm are required to run the setup and development commands below.
Using scripts (recommended)
The scripts resolve paths relative to their location, so you can run them from anywhere.
-
Run setup (copies env files and installs dependencies).
./dev/setup -
Review
api/.env,web/.env.local, anddocker/middleware.envvalues (see theSECRET_KEYnote below). -
Start middleware (PostgreSQL/Redis/Weaviate).
./dev/start-docker-compose -
Start backend (runs migrations first).
./dev/start-api -
Start Dify web service.
./dev/start-web./dev/setupand./dev/start-webinstall JavaScript dependencies through the repository root workspace, so you do not need a separatecd web && pnpm installstep. -
Set up your application by visiting
http://localhost:3000. -
Start the worker service (async and scheduler tasks, runs from
api)../dev/start-worker -
Start Celery Beat when scheduled tasks are needed. This is required when
KNOWLEDGE_FS_LIFECYCLE_WORKER_ENABLED=trueso provisioning and deletion outbox commands are dispatched to the lifecycle worker../dev/start-beat
Environment notes
Important
When the frontend and backend run on different subdomains, set COOKIE_DOMAIN to the site’s top-level domain (e.g.,
example.com). The frontend and backend must be under the same top-level domain in order to share authentication cookies.
-
Generate a
SECRET_KEYin the.envfile.bash for Linux
sed -i "/^SECRET_KEY=/c\\SECRET_KEY=$(openssl rand -base64 42)" .envbash for Mac
secret_key=$(openssl rand -base64 42) sed -i '' "/^SECRET_KEY=/c\\ SECRET_KEY=${secret_key}" .env
Testing
-
Install dependencies for both the backend and the test environment
cd api uv sync --group dev -
Run the tests locally with mocked system environment variables in
tool.pytest_envsection inpyproject.toml, more can check Claude.mdcd api uv run pytest # Run all tests uv run pytest tests/unit_tests/ # Unit tests only uv run pytest tests/integration_tests/ # Integration tests # Code quality ./dev/reformat # Run all formatters and linters uv run ruff check --fix ./ # Fix linting issues uv run ruff format ./ # Format code uv run pyrefly check # Type checking
Generate TS stub
uv run dev/generate_swagger_specs.py --output-dir openapi
use https://jsontotable.org/openapi-to-typescript to convert to typescript