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greatmengqi e75a2ff29a feat(auth): release-validation pass for 2.0-rc — 12 blockers + simplify follow-ups (#2008)
* feat(auth): introduce backend auth module

Port RFC-001 authentication core from PR #1728:
- JWT token handling (create_access_token, decode_token, TokenPayload)
- Password hashing (bcrypt) with verify_password
- SQLite UserRepository with base interface
- Provider Factory pattern (LocalAuthProvider)
- CLI reset_admin tool
- Auth-specific errors (AuthErrorCode, TokenError, AuthErrorResponse)

Deps:
- bcrypt>=4.0.0
- pyjwt>=2.9.0
- email-validator>=2.0.0
- backend/uv.toml pins public PyPI index

Tests: 12 pure unit tests (test_auth_config.py, test_auth_errors.py).

Scope note: authz.py, test_auth.py, and test_auth_type_system.py are
deferred to commit 2 because they depend on middleware and deps wiring
that is not yet in place. Commit 1 stays "pure new files only" as the
spec mandates.

* feat(auth): wire auth end-to-end (middleware + frontend replacement)

Backend:
- Port auth_middleware, csrf_middleware, langgraph_auth, routers/auth
- Port authz decorator (owner_filter_key defaults to 'owner_id')
- Merge app.py: register AuthMiddleware + CSRFMiddleware + CORS, add
  _ensure_admin_user lifespan hook, _migrate_orphaned_threads helper,
  register auth router
- Merge deps.py: add get_local_provider, get_current_user_from_request,
  get_optional_user_from_request; keep get_current_user as thin str|None
  adapter for feedback router
- langgraph.json: add auth path pointing to langgraph_auth.py:auth
- Rename metadata['user_id'] -> metadata['owner_id'] in langgraph_auth
  (both metadata write and LangGraph filter dict) + test fixtures

Frontend:
- Delete better-auth library and api catch-all route
- Remove better-auth npm dependency and env vars (BETTER_AUTH_SECRET,
  BETTER_AUTH_GITHUB_*) from env.js
- Port frontend/src/core/auth/* (AuthProvider, gateway-config,
  proxy-policy, server-side getServerSideUser, types)
- Port frontend/src/core/api/fetcher.ts
- Port (auth)/layout, (auth)/login, (auth)/setup pages
- Rewrite workspace/layout.tsx as server component that calls
  getServerSideUser and wraps in AuthProvider
- Port workspace/workspace-content.tsx for the client-side sidebar logic

Tests:
- Port 5 auth test files (test_auth, test_auth_middleware,
  test_auth_type_system, test_ensure_admin, test_langgraph_auth)
- 176 auth tests PASS

After this commit: login/logout/registration flow works, but persistence
layer does not yet filter by owner_id. Commit 4 closes that gap.

* feat(auth): account settings page + i18n

- Port account-settings-page.tsx (change password, change email, logout)
- Wire into settings-dialog.tsx as new "account" section with UserIcon,
  rendered first in the section list
- Add i18n keys:
  - en-US/zh-CN: settings.sections.account ("Account" / "账号")
  - en-US/zh-CN: button.logout ("Log out" / "退出登录")
  - types.ts: matching type declarations

* feat(auth): enforce owner_id across 2.0-rc persistence layer

Add request-scoped contextvar-based owner filtering to threads_meta,
runs, run_events, and feedback repositories. Router code is unchanged
— isolation is enforced at the storage layer so that any caller that
forgets to pass owner_id still gets filtered results, and new routes
cannot accidentally leak data.

Core infrastructure
-------------------
- deerflow/runtime/user_context.py (new):
  - ContextVar[CurrentUser | None] with default None
  - runtime_checkable CurrentUser Protocol (structural subtype with .id)
  - set/reset/get/require helpers
  - AUTO sentinel + resolve_owner_id(value, method_name) for sentinel
    three-state resolution: AUTO reads contextvar, explicit str
    overrides, explicit None bypasses the filter (for migration/CLI)

Repository changes
------------------
- ThreadMetaRepository: create/get/search/update_*/delete gain
  owner_id=AUTO kwarg; read paths filter by owner, writes stamp it,
  mutations check ownership before applying
- RunRepository: put/get/list_by_thread/delete gain owner_id=AUTO kwarg
- FeedbackRepository: create/get/list_by_run/list_by_thread/delete
  gain owner_id=AUTO kwarg
- DbRunEventStore: list_messages/list_events/list_messages_by_run/
  count_messages/delete_by_thread/delete_by_run gain owner_id=AUTO
  kwarg. Write paths (put/put_batch) read contextvar softly: when a
  request-scoped user is available, owner_id is stamped; background
  worker writes without a user context pass None which is valid
  (orphan row to be bound by migration)

Schema
------
- persistence/models/run_event.py: RunEventRow.owner_id = Mapped[
  str | None] = mapped_column(String(64), nullable=True, index=True)
- No alembic migration needed: 2.0 ships fresh, Base.metadata.create_all
  picks up the new column automatically

Middleware
----------
- auth_middleware.py: after cookie check, call get_optional_user_from_
  request to load the real User, stamp it into request.state.user AND
  the contextvar via set_current_user, reset in a try/finally. Public
  paths and unauthenticated requests continue without contextvar, and
  @require_auth handles the strict 401 path

Test infrastructure
-------------------
- tests/conftest.py: @pytest.fixture(autouse=True) _auto_user_context
  sets a default SimpleNamespace(id="test-user-autouse") on every test
  unless marked @pytest.mark.no_auto_user. Keeps existing 20+
  persistence tests passing without modification
- pyproject.toml [tool.pytest.ini_options]: register no_auto_user
  marker so pytest does not emit warnings for opt-out tests
- tests/test_user_context.py: 6 tests covering three-state semantics,
  Protocol duck typing, and require/optional APIs
- tests/test_thread_meta_repo.py: one test updated to pass owner_id=
  None explicitly where it was previously relying on the old default

Test results
------------
- test_user_context.py: 6 passed
- test_auth*.py + test_langgraph_auth.py + test_ensure_admin.py: 127
- test_run_event_store / test_run_repository / test_thread_meta_repo
  / test_feedback: 92 passed
- Full backend suite: 1905 passed, 2 failed (both @requires_llm flaky
  integration tests unrelated to auth), 1 skipped

* feat(auth): extend orphan migration to 2.0-rc persistence tables

_ensure_admin_user now runs a three-step pipeline on every boot:

  Step 1 (fatal):     admin user exists / is created / password is reset
  Step 2 (non-fatal): LangGraph store orphan threads → admin
  Step 3 (non-fatal): SQL persistence tables → admin
    - threads_meta
    - runs
    - run_events
    - feedback

Each step is idempotent. The fatal/non-fatal split mirrors PR #1728's
original philosophy: admin creation failure blocks startup (the system
is unusable without an admin), whereas migration failures log a warning
and let the service proceed (a partial migration is recoverable; a
missing admin is not).

Key helpers
-----------
- _iter_store_items(store, namespace, *, page_size=500):
  async generator that cursor-paginates across LangGraph store pages.
  Fixes PR #1728's hardcoded limit=1000 bug that would silently lose
  orphans beyond the first page.

- _migrate_orphaned_threads(store, admin_user_id):
  Rewritten to use _iter_store_items. Returns the migrated count so the
  caller can log it; raises only on unhandled exceptions.

- _migrate_orphan_sql_tables(admin_user_id):
  Imports the 4 ORM models lazily, grabs the shared session factory,
  runs one UPDATE per table in a single transaction, commits once.
  No-op when no persistence backend is configured (in-memory dev).

Tests: test_ensure_admin.py (8 passed)

* test(auth): port AUTH test plan docs + lint/format pass

- Port backend/docs/AUTH_TEST_PLAN.md and AUTH_UPGRADE.md from PR #1728
- Rename metadata.user_id → metadata.owner_id in AUTH_TEST_PLAN.md
  (4 occurrences from the original PR doc)
- ruff auto-fix UP037 in sentinel type annotations: drop quotes around
  "str | None | _AutoSentinel" now that from __future__ import
  annotations makes them implicit string forms
- ruff format: 2 files (app/gateway/app.py, runtime/user_context.py)

Note on test coverage additions:
- conftest.py autouse fixture was already added in commit 4 (had to
  be co-located with the repository changes to keep pre-existing
  persistence tests passing)
- cross-user isolation E2E tests (test_owner_isolation.py) deferred
  — enforcement is already proven by the 98-test repository suite
  via the autouse fixture + explicit _AUTO sentinel exercises
- New test cases (TC-API-17..20, TC-ATK-13, TC-MIG-01..07) listed
  in AUTH_TEST_PLAN.md are deferred to a follow-up PR — they are
  manual-QA test cases rather than pytest code, and the spec-level
  coverage is already met by test_user_context.py + the 98-test
  repository suite.

Final test results:
- Auth suite (test_auth*, test_langgraph_auth, test_ensure_admin,
  test_user_context): 186 passed
- Persistence suite (test_run_event_store, test_run_repository,
  test_thread_meta_repo, test_feedback): 98 passed
- Lint: ruff check + ruff format both clean

* test(auth): add cross-user isolation test suite

10 tests exercising the storage-layer owner filter by manually
switching the user_context contextvar between two users. Verifies
the safety invariant:

  After a repository write with owner_id=A, a subsequent read with
  owner_id=B must not return the row, and vice versa.

Covers all 4 tables that own user-scoped data:

TC-API-17  threads_meta  — read, search, update, delete cross-user
TC-API-18  runs          — get, list_by_thread, delete cross-user
TC-API-19  run_events    — list_messages, list_events, count_messages,
                           delete_by_thread (CRITICAL: raw conversation
                           content leak vector)
TC-API-20  feedback      — get, list_by_run, delete cross-user

Plus two meta-tests verifying the sentinel pattern itself:
- AUTO + unset contextvar raises RuntimeError
- explicit owner_id=None bypasses the filter (migration escape hatch)

Architecture note
-----------------
These tests bypass the HTTP layer by design. The full chain
(cookie → middleware → contextvar → repository) is covered piecewise:

- test_auth_middleware.py: middleware sets contextvar from cookies
- test_owner_isolation.py: repositories enforce isolation when
  contextvar is set to different users

Together they prove the end-to-end safety property without the
ceremony of spinning up a full TestClient + in-memory DB for every
router endpoint.

Tests pass: 231 (full auth + persistence + isolation suite)
Lint: clean

* refactor(auth): migrate user repository to SQLAlchemy ORM

Move the users table into the shared persistence engine so auth
matches the pattern of threads_meta, runs, run_events, and feedback —
one engine, one session factory, one schema init codepath.

New files
---------
- persistence/user/__init__.py, persistence/user/model.py: UserRow
  ORM class with partial unique index on (oauth_provider, oauth_id)
- Registered in persistence/models/__init__.py so
  Base.metadata.create_all() picks it up

Modified
--------
- auth/repositories/sqlite.py: rewritten as async SQLAlchemy,
  identical constructor pattern to the other four repositories
  (def __init__(self, session_factory) + self._sf = session_factory)
- auth/config.py: drop users_db_path field — storage is configured
  through config.database like every other table
- deps.py/get_local_provider: construct SQLiteUserRepository with
  the shared session factory, fail fast if engine is not initialised
- tests/test_auth.py: rewrite test_sqlite_round_trip_new_fields to
  use the shared engine (init_engine + close_engine in a tempdir)
- tests/test_auth_type_system.py: add per-test autouse fixture that
  spins up a scratch engine and resets deps._cached_* singletons

* refactor(auth): remove SQL orphan migration (unused in supported scenarios)

The _migrate_orphan_sql_tables helper existed to bind NULL owner_id
rows in threads_meta, runs, run_events, and feedback to the admin on
first boot. But in every supported upgrade path, it's a no-op:

  1. Fresh install: create_all builds fresh tables, no legacy rows
  2. No-auth → with-auth (no existing persistence DB): persistence
     tables are created fresh by create_all, no legacy rows
  3. No-auth → with-auth (has existing persistence DB from #1930):
     NOT a supported upgrade path — "有 DB 到有 DB" schema evolution
     is out of scope; users wipe DB or run manual ALTER

So the SQL orphan migration never has anything to do in the
supported matrix. Delete the function, simplify _ensure_admin_user
from a 3-step pipeline to a 2-step one (admin creation + LangGraph
store orphan migration only).

LangGraph store orphan migration stays: it serves the real
"no-auth → with-auth" upgrade path where a user's existing LangGraph
thread metadata has no owner_id field and needs to be stamped with
the newly-created admin's id.

Tests: 284 passed (auth + persistence + isolation)
Lint: clean

* security(auth): write initial admin password to 0600 file instead of logs

CodeQL py/clear-text-logging-sensitive-data flagged 3 call sites that
logged the auto-generated admin password to stdout via logger.info().
Production log aggregators (ELK/Splunk/etc) would have captured those
cleartext secrets. Replace with a shared helper that writes to
.deer-flow/admin_initial_credentials.txt with mode 0600, and log only
the path.

New file
--------
- app/gateway/auth/credential_file.py: write_initial_credentials()
  helper. Takes email, password, and a "initial"/"reset" label.
  Creates .deer-flow/ if missing, writes a header comment plus the
  email+password, chmods 0o600, returns the absolute Path.

Modified
--------
- app/gateway/app.py: both _ensure_admin_user paths (fresh creation
  + needs_setup password reset) now write to file and log the path
- app/gateway/auth/reset_admin.py: rewritten to use the shared ORM
  repo (SQLiteUserRepository with session_factory) and the
  credential_file helper. The previous implementation was broken
  after the earlier ORM refactor — it still imported _get_users_conn
  and constructed SQLiteUserRepository() without a session factory.

No tests changed — the three password-log sites are all exercised
via existing test_ensure_admin.py which checks that startup
succeeds, not that a specific string appears in logs.

CodeQL alerts 272, 283, 284: all resolved.

* security(auth): strict JWT validation in middleware (fix junk cookie bypass)

AUTH_TEST_PLAN test 7.5.8 expects junk cookies to be rejected with
401. The previous middleware behaviour was "presence-only": check
that some access_token cookie exists, then pass through. In
combination with my Task-12 decision to skip @require_auth
decorators on routes, this created a gap where a request with any
cookie-shaped string (e.g. access_token=not-a-jwt) would bypass
authentication on routes that do not touch the repository
(/api/models, /api/mcp/config, /api/memory, /api/skills, …).

Fix: middleware now calls get_current_user_from_request() strictly
and catches the resulting HTTPException to render a 401 with the
proper fine-grained error code (token_invalid, token_expired,
user_not_found, …). On success it stamps request.state.user and
the contextvar so repository-layer owner filters work downstream.

The 4 old "_with_cookie_passes" tests in test_auth_middleware.py
were written for the presence-only behaviour; they asserted that
a junk cookie would make the handler return 200. They are renamed
to "_with_junk_cookie_rejected" and their assertions flipped to
401. The negative path (no cookie → 401 not_authenticated)
is unchanged.

Verified:
  no cookie       → 401 not_authenticated
  junk cookie     → 401 token_invalid     (the fixed bug)
  expired cookie  → 401 token_expired

Tests: 284 passed (auth + persistence + isolation)
Lint: clean

* security(auth): wire @require_permission(owner_check=True) on isolation routes

Apply the require_permission decorator to all 28 routes that take a
{thread_id} path parameter. Combined with the strict middleware
(previous commit), this gives the double-layer protection that
AUTH_TEST_PLAN test 7.5.9 documents:

  Layer 1 (AuthMiddleware): cookie + JWT validation, rejects junk
                            cookies and stamps request.state.user
  Layer 2 (@require_permission with owner_check=True): per-resource
                            ownership verification via
                            ThreadMetaStore.check_access — returns
                            404 if a different user owns the thread

The decorator's owner_check branch is rewritten to use the SQL
thread_meta_repo (the 2.0-rc persistence layer) instead of the
LangGraph store path that PR #1728 used (_store_get / get_store
in routers/threads.py). The inject_record convenience is dropped
— no caller in 2.0 needs the LangGraph blob, and the SQL repo has
a different shape.

Routes decorated (28 total):
- threads.py: delete, patch, get, get-state, post-state, post-history
- thread_runs.py: post-runs, post-runs-stream, post-runs-wait,
  list_runs, get_run, cancel_run, join_run, stream_existing_run,
  list_thread_messages, list_run_messages, list_run_events,
  thread_token_usage
- feedback.py: create, list, stats, delete
- uploads.py: upload (added Request param), list, delete
- artifacts.py: get_artifact
- suggestions.py: generate (renamed body parameter to avoid
  conflict with FastAPI Request)

Test fixes:
- test_suggestions_router.py: bypass the decorator via __wrapped__
  (the unit tests cover parsing logic, not auth — no point spinning
  up a thread_meta_repo just to test JSON unwrapping)
- test_auth_middleware.py 4 fake-cookie tests: already updated in
  the previous commit (745bf432)

Tests: 293 passed (auth + persistence + isolation + suggestions)
Lint: clean

* security(auth): defense-in-depth fixes from release validation pass

Eight findings caught while running the AUTH_TEST_PLAN end-to-end against
the deployed sg_dev stack. Each is a pre-condition for shipping
release/2.0-rc that the previous PRs missed.

Backend hardening
- routers/auth.py: rate limiter X-Real-IP now requires AUTH_TRUSTED_PROXIES
  whitelist (CIDR/IP allowlist). Without nginx in front, the previous code
  honored arbitrary X-Real-IP, letting an attacker rotate the header to
  fully bypass the per-IP login lockout.
- routers/auth.py: 36-entry common-password blocklist via Pydantic
  field_validator on RegisterRequest + ChangePasswordRequest. The shared
  _validate_strong_password helper keeps the constraint in one place.
- routers/threads.py: ThreadCreateRequest + ThreadPatchRequest strip
  server-reserved metadata keys (owner_id, user_id) via Pydantic
  field_validator so a forged value can never round-trip back to other
  clients reading the same thread. The actual ownership invariant stays
  on the threads_meta row; this closes the metadata-blob echo gap.
- authz.py + thread_meta/sql.py: require_permission gains a require_existing
  flag plumbed through check_access(require_existing=True). Destructive
  routes (DELETE/PATCH/state-update/runs/feedback) now treat a missing
  thread_meta row as 404 instead of "untracked legacy thread, allow",
  closing the cross-user delete-idempotence gap where any user could
  successfully DELETE another user's deleted thread.
- repositories/sqlite.py + base.py: update_user raises UserNotFoundError
  on a vanished row instead of silently returning the input. Concurrent
  delete during password reset can no longer look like a successful update.
- runtime/user_context.py: resolve_owner_id() coerces User.id (UUID) to
  str at the contextvar boundary so SQLAlchemy String(64) columns can
  bind it. The whole 2.0-rc isolation pipeline was previously broken
  end-to-end (POST /api/threads → 500 "type 'UUID' is not supported").
- persistence/engine.py: SQLAlchemy listener enables PRAGMA journal_mode=WAL,
  synchronous=NORMAL, foreign_keys=ON on every new SQLite connection.
  TC-UPG-06 in the test plan expects WAL; previous code shipped with the
  default 'delete' journal.
- auth_middleware.py: stamp request.state.auth = AuthContext(...) so
  @require_permission's short-circuit fires; previously every isolation
  request did a duplicate JWT decode + users SELECT. Also unifies the
  401 payload through AuthErrorResponse(...).model_dump().
- app.py: _ensure_admin_user restructure removes the noqa F821 scoping
  bug where 'password' was referenced outside the branch that defined it.
  New _announce_credentials helper absorbs the duplicate log block in
  the fresh-admin and reset-admin branches.

* fix(frontend+nginx): rollout CSRF on every state-changing client path

The frontend was 100% broken in gateway-pro mode for any user trying to
open a specific chat thread. Three cumulative bugs each silently
masked the next.

LangGraph SDK CSRF gap (api-client.ts)
- The Client constructor took only apiUrl, no defaultHeaders, no fetch
  interceptor. The SDK's internal fetch never sent X-CSRF-Token, so
  every state-changing /api/langgraph-compat/* call (runs/stream,
  threads/search, threads/{tid}/history, ...) hit CSRFMiddleware and
  got 403 before reaching the auth check. UI symptom: empty thread page
  with no error message; the SPA's hooks swallowed the rejection.
- Fix: pass an onRequest hook that injects X-CSRF-Token from the
  csrf_token cookie per request. Reading the cookie per call (not at
  construction time) handles login / logout / password-change cookie
  rotation transparently. The SDK's prepareFetchOptions calls
  onRequest for both regular requests AND streaming/SSE/reconnect, so
  the same hook covers runs.stream and runs.joinStream.

Raw fetch CSRF gap (7 files)
- Audit: 11 frontend fetch sites, only 2 included CSRF (login/setup +
  account-settings change-password). The other 7 routed through raw
  fetch() with no header — suggestions, memory, agents, mcp, skills,
  uploads, and the local thread cleanup hook all 403'd silently.
- Fix: enhance fetcher.ts:fetchWithAuth to auto-inject X-CSRF-Token on
  POST/PUT/DELETE/PATCH from a single shared readCsrfCookie() helper.
  Convert all 7 raw fetch() callers to fetchWithAuth so the contract
  is centrally enforced. api-client.ts and fetcher.ts share
  readCsrfCookie + STATE_CHANGING_METHODS to avoid drift.

nginx routing + buffering (nginx.local.conf)
- The auth feature shipped without updating the nginx config: per-API
  explicit location blocks but no /api/v1/auth/, /api/feedback, /api/runs.
  The frontend's client-side fetches to /api/v1/auth/login/local 404'd
  from the Next.js side because nginx routed /api/* to the frontend.
- Fix: add catch-all `location /api/` that proxies to the gateway.
  nginx longest-prefix matching keeps the explicit blocks (/api/models,
  /api/threads regex, /api/langgraph/, ...) winning for their paths.
- Fix: disable proxy_buffering + proxy_request_buffering for the
  frontend `location /` block. Without it, nginx tries to spool large
  Next.js chunks into /var/lib/nginx/proxy (root-owned) and fails with
  Permission denied → ERR_INCOMPLETE_CHUNKED_ENCODING → ChunkLoadError.

* test(auth): release-validation test infra and new coverage

Test fixtures and unit tests added during the validation pass.

Router test helpers (NEW: tests/_router_auth_helpers.py)
- make_authed_test_app(): builds a FastAPI test app with a stub
  middleware that stamps request.state.user + request.state.auth and a
  permissive thread_meta_repo mock. TestClient-based router tests
  (test_artifacts_router, test_threads_router) use it instead of bare
  FastAPI() so the new @require_permission(owner_check=True) decorators
  short-circuit cleanly.
- call_unwrapped(): walks the __wrapped__ chain to invoke the underlying
  handler without going through the authz wrappers. Direct-call tests
  (test_uploads_router) use it. Typed with ParamSpec so the wrapped
  signature flows through.

Backend test additions
- test_auth.py: 7 tests for the new _get_client_ip trust model (no
  proxy / trusted proxy / untrusted peer / XFF rejection / invalid
  CIDR / no client). 5 tests for the password blocklist (literal,
  case-insensitive, strong password accepted, change-password binding,
  short-password length-check still fires before blocklist).
  test_update_user_raises_when_row_concurrently_deleted: closes a
  shipped-without-coverage gap on the new UserNotFoundError contract.
- test_thread_meta_repo.py: 4 tests for check_access(require_existing=True)
  — strict missing-row denial, strict owner match, strict owner mismatch,
  strict null-owner still allowed (shared rows survive the tightening).
- test_ensure_admin.py: 3 tests for _migrate_orphaned_threads /
  _iter_store_items pagination, covering the TC-UPG-02 upgrade story
  end-to-end via mock store. Closes the gap where the cursor pagination
  was untested even though the previous PR rewrote it.
- test_threads_router.py: 5 tests for _strip_reserved_metadata
  (owner_id removal, user_id removal, safe-keys passthrough, empty
  input, both-stripped).
- test_auth_type_system.py: replace "password123" fixtures with
  Tr0ub4dor3a / AnotherStr0ngPwd! so the new password blocklist
  doesn't reject the test data.

* docs(auth): refresh TC-DOCKER-05 + document Docker validation gap

- AUTH_TEST_PLAN.md TC-DOCKER-05: the previous expectation
  ("admin password visible in docker logs") was stale after the simplify
  pass that moved credentials to a 0600 file. The grep "Password:" check
  would have silently failed and given a false sense of coverage. New
  expectation matches the actual file-based path: 0600 file in
  DEER_FLOW_HOME, log shows the path (not the secret), reverse-grep
  asserts no leaked password in container logs.
- NEW: docs/AUTH_TEST_DOCKER_GAP.md documents the only un-executed
  block in the test plan (TC-DOCKER-01..06). Reason: sg_dev validation
  host has no Docker daemon installed. The doc maps each Docker case
  to an already-validated bare-metal equivalent (TC-1.1, TC-REENT-01,
  TC-API-02 etc.) so the gap is auditable, and includes pre-flight
  reproduction steps for whoever has Docker available.

---------

Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com>
2026-04-11 11:25:38 +08:00
rayhpeng 185f5649dd feat(persistence): add unified persistence layer with event store, token tracking, and feedback (#1930)
* feat(persistence): add SQLAlchemy 2.0 async ORM scaffold

Introduce a unified database configuration (DatabaseConfig) that
controls both the LangGraph checkpointer and the DeerFlow application
persistence layer from a single `database:` config section.

New modules:
- deerflow.config.database_config — Pydantic config with memory/sqlite/postgres backends
- deerflow.persistence — async engine lifecycle, DeclarativeBase with to_dict mixin, Alembic skeleton
- deerflow.runtime.runs.store — RunStore ABC + MemoryRunStore implementation

Gateway integration initializes/tears down the persistence engine in
the existing langgraph_runtime() context manager. Legacy checkpointer
config is preserved for backward compatibility.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(persistence): add RunEventStore ABC + MemoryRunEventStore

Phase 2-A prerequisite for event storage: adds the unified run event
stream interface (RunEventStore) with an in-memory implementation,
RunEventsConfig, gateway integration, and comprehensive tests (27 cases).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(persistence): add ORM models, repositories, DB/JSONL event stores, RunJournal, and API endpoints

Phase 2-B: run persistence + event storage + token tracking.

- ORM models: RunRow (with token fields), ThreadMetaRow, RunEventRow
- RunRepository implements RunStore ABC via SQLAlchemy ORM
- ThreadMetaRepository with owner access control
- DbRunEventStore with trace content truncation and cursor pagination
- JsonlRunEventStore with per-run files and seq recovery from disk
- RunJournal (BaseCallbackHandler) captures LLM/tool/lifecycle events,
  accumulates token usage by caller type, buffers and flushes to store
- RunManager now accepts optional RunStore for persistent backing
- Worker creates RunJournal, writes human_message, injects callbacks
- Gateway deps use factory functions (RunRepository when DB available)
- New endpoints: messages, run messages, run events, token-usage
- ThreadCreateRequest gains assistant_id field
- 92 tests pass (33 new), zero regressions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(persistence): add user feedback + follow-up run association

Phase 2-C: feedback and follow-up tracking.

- FeedbackRow ORM model (rating +1/-1, optional message_id, comment)
- FeedbackRepository with CRUD, list_by_run/thread, aggregate stats
- Feedback API endpoints: create, list, stats, delete
- follow_up_to_run_id in RunCreateRequest (explicit or auto-detected
  from latest successful run on the thread)
- Worker writes follow_up_to_run_id into human_message event metadata
- Gateway deps: feedback_repo factory + getter
- 17 new tests (14 FeedbackRepository + 3 follow-up association)
- 109 total tests pass, zero regressions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* test+config: comprehensive Phase 2 test coverage + deprecate checkpointer config

- config.example.yaml: deprecate standalone checkpointer section, activate
  unified database:sqlite as default (drives both checkpointer + app data)
- New: test_thread_meta_repo.py (14 tests) — full ThreadMetaRepository coverage
  including check_access owner logic, list_by_owner pagination
- Extended test_run_repository.py (+4 tests) — completion preserves fields,
  list ordering desc, limit, owner_none returns all
- Extended test_run_journal.py (+8 tests) — on_chain_error, track_tokens=false,
  middleware no ai_message, unknown caller tokens, convenience fields,
  tool_error, non-summarization custom event
- Extended test_run_event_store.py (+7 tests) — DB batch seq continuity,
  make_run_event_store factory (memory/db/jsonl/fallback/unknown)
- Extended test_phase2b_integration.py (+4 tests) — create_or_reject persists,
  follow-up metadata, summarization in history, full DB-backed lifecycle
- Fixed DB integration test to use proper fake objects (not MagicMock)
  for JSON-serializable metadata
- 157 total Phase 2 tests pass, zero regressions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* config: move default sqlite_dir to .deer-flow/data

Keep SQLite databases alongside other DeerFlow-managed data
(threads, memory) under the .deer-flow/ directory instead of a
top-level ./data folder.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor(persistence): remove UTFJSON, use engine-level json_serializer + datetime.now()

- Replace custom UTFJSON type with standard sqlalchemy.JSON in all ORM
  models. Add json_serializer=json.dumps(ensure_ascii=False) to all
  create_async_engine calls so non-ASCII text (Chinese etc.) is stored
  as-is in both SQLite and Postgres.
- Change ORM datetime defaults from datetime.now(UTC) to datetime.now(),
  remove UTC imports.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor(gateway): simplify deps.py with getter factory + inline repos

- Replace 6 identical getter functions with _require() factory.
- Inline 3 _make_*_repo() factories into langgraph_runtime(), call
  get_session_factory() once instead of 3 times.
- Add thread_meta upsert in start_run (services.py).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(docker): add UV_EXTRAS build arg for optional dependencies

Support installing optional dependency groups (e.g. postgres) at
Docker build time via UV_EXTRAS build arg:
  UV_EXTRAS=postgres docker compose build

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor(journal): fix flush, token tracking, and consolidate tests

RunJournal fixes:
- _flush_sync: retain events in buffer when no event loop instead of
  dropping them; worker's finally block flushes via async flush().
- on_llm_end: add tool_calls filter and caller=="lead_agent" guard for
  ai_message events; mark message IDs for dedup with record_llm_usage.
- worker.py: persist completion data (tokens, message count) to RunStore
  in finally block.

Model factory:
- Auto-inject stream_usage=True for BaseChatOpenAI subclasses with
  custom api_base, so usage_metadata is populated in streaming responses.

Test consolidation:
- Delete test_phase2b_integration.py (redundant with existing tests).
- Move DB-backed lifecycle test into test_run_journal.py.
- Add tests for stream_usage injection in test_model_factory.py.
- Clean up executor/task_tool dead journal references.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(events): widen content type to str|dict in all store backends

Allow event content to be a dict (for structured OpenAI-format messages)
in addition to plain strings. Dict values are JSON-serialized for the DB
backend and deserialized on read; memory and JSONL backends handle dicts
natively. Trace truncation now serializes dicts to JSON before measuring.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(events): use metadata flag instead of heuristic for dict content detection

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(converters): add LangChain-to-OpenAI message format converters

Pure functions langchain_to_openai_message, langchain_to_openai_completion,
langchain_messages_to_openai, and _infer_finish_reason for converting
LangChain BaseMessage objects to OpenAI Chat Completions format, used by
RunJournal for event storage. 15 unit tests added.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(converters): handle empty list content as null, clean up test

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(events): human_message content uses OpenAI user message format

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat(events): ai_message uses OpenAI format, add ai_tool_call message event

- ai_message content now uses {"role": "assistant", "content": "..."} format
- New ai_tool_call message event emitted when lead_agent LLM responds with tool_calls
- ai_tool_call uses langchain_to_openai_message converter for consistent format
- Both events include finish_reason in metadata ("stop" or "tool_calls")

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(events): add tool_result message event with OpenAI tool message format

Cache tool_call_id from on_tool_start keyed by run_id as fallback for on_tool_end,
then emit a tool_result message event (role=tool, tool_call_id, content) after each
successful tool completion.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat(events): summary content uses OpenAI system message format

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(events): replace llm_start/llm_end with llm_request/llm_response in OpenAI format

Add on_chat_model_start to capture structured prompt messages as llm_request events.
Replace llm_end trace events with llm_response using OpenAI Chat Completions format.
Track llm_call_index to pair request/response events.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(events): add record_middleware method for middleware trace events

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* test(events): add full run sequence integration test for OpenAI content format

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat(events): align message events with checkpoint format and add middleware tag injection

- Message events (ai_message, ai_tool_call, tool_result, human_message) now use
  BaseMessage.model_dump() format, matching LangGraph checkpoint values.messages
- on_tool_end extracts tool_call_id/name/status from ToolMessage objects
- on_tool_error now emits tool_result message events with error status
- record_middleware uses middleware:{tag} event_type and middleware category
- Summarization custom events use middleware:summarize category
- TitleMiddleware injects middleware:title tag via get_config() inheritance
- SummarizationMiddleware model bound with middleware:summarize tag
- Worker writes human_message using HumanMessage.model_dump()

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(threads): switch search endpoint to threads_meta table and sync title

- POST /api/threads/search now queries threads_meta table directly,
  removing the two-phase Store + Checkpointer scan approach
- Add ThreadMetaRepository.search() with metadata/status filters
- Add ThreadMetaRepository.update_display_name() for title sync
- Worker syncs checkpoint title to threads_meta.display_name on run completion
- Map display_name to values.title in search response for API compatibility

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(threads): history endpoint reads messages from event store

- POST /api/threads/{thread_id}/history now combines two data sources:
  checkpointer for checkpoint_id, metadata, title, thread_data;
  event store for messages (complete history, not truncated by summarization)
- Strip internal LangGraph metadata keys from response
- Remove full channel_values serialization in favor of selective fields

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: remove duplicate optional-dependencies header in pyproject.toml

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(middleware): pass tagged config to TitleMiddleware ainvoke call

Without the config, the middleware:title tag was not injected,
causing the LLM response to be recorded as a lead_agent ai_message
in run_events.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: resolve merge conflict in .env.example

Keep both DATABASE_URL (from persistence-scaffold) and WECOM
credentials (from main) after the merge.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(persistence): address review feedback on PR #1851

- Fix naive datetime.now() → datetime.now(UTC) in all ORM models
- Fix seq race condition in DbRunEventStore.put() with FOR UPDATE
  and UNIQUE(thread_id, seq) constraint
- Encapsulate _store access in RunManager.update_run_completion()
- Deduplicate _store.put() logic in RunManager via _persist_to_store()
- Add update_run_completion to RunStore ABC + MemoryRunStore
- Wire follow_up_to_run_id through the full create path
- Add error recovery to RunJournal._flush_sync() lost-event scenario
- Add migration note for search_threads breaking change
- Fix test_checkpointer_none_fix mock to set database=None

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: update uv.lock

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(persistence): address 22 review comments from CodeQL, Copilot, and Code Quality

Bug fixes:
- Sanitize log params to prevent log injection (CodeQL)
- Reset threads_meta.status to idle/error when run completes
- Attach messages only to latest checkpoint in /history response
- Write threads_meta on POST /threads so new threads appear in search

Lint fixes:
- Remove unused imports (journal.py, migrations/env.py, test_converters.py)
- Convert lambda to named function (engine.py, Ruff E731)
- Remove unused logger definitions in repos (Ruff F841)
- Add logging to JSONL decode errors and empty except blocks
- Separate assert side-effects in tests (CodeQL)
- Remove unused local variables in tests (Ruff F841)
- Fix max_trace_content truncation to use byte length, not char length

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* style: apply ruff format to persistence and runtime files

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Potential fix for pull request finding 'Statement has no effect'

Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>

* refactor(runtime): introduce RunContext to reduce run_agent parameter bloat

Extract checkpointer, store, event_store, run_events_config, thread_meta_repo,
and follow_up_to_run_id into a frozen RunContext dataclass. Add get_run_context()
in deps.py to build the base context from app.state singletons. start_run() uses
dataclasses.replace() to enrich per-run fields before passing ctx to run_agent.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor(gateway): move sanitize_log_param to app/gateway/utils.py

Extract the log-injection sanitizer from routers/threads.py into a shared
utils module and rename to sanitize_log_param (public API). Eliminates the
reverse service → router import in services.py.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* perf: use SQL aggregation for feedback stats and thread token usage

Replace Python-side counting in FeedbackRepository.aggregate_by_run with
a single SELECT COUNT/SUM query. Add RunStore.aggregate_tokens_by_thread
abstract method with SQL GROUP BY implementation in RunRepository and
Python fallback in MemoryRunStore. Simplify the thread_token_usage
endpoint to delegate to the new method, eliminating the limit=10000
truncation risk.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* docs: annotate DbRunEventStore.put() as low-frequency path

Add docstring clarifying that put() opens a per-call transaction with
FOR UPDATE and should only be used for infrequent writes (currently
just the initial human_message event). High-throughput callers should
use put_batch() instead.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(threads): fall back to Store search when ThreadMetaRepository is unavailable

When database.backend=memory (default) or no SQL session factory is
configured, search_threads now queries the LangGraph Store instead of
returning 503. Returns empty list if neither Store nor repo is available.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor(persistence): introduce ThreadMetaStore ABC for backend-agnostic thread metadata

Add ThreadMetaStore abstract base class with create/get/search/update/delete
interface. ThreadMetaRepository (SQL) now inherits from it. New
MemoryThreadMetaStore wraps LangGraph BaseStore for memory-mode deployments.

deps.py now always provides a non-None thread_meta_repo, eliminating all
`if thread_meta_repo is not None` guards in services.py, worker.py, and
routers/threads.py. search_threads no longer needs a Store fallback branch.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor(history): read messages from checkpointer instead of RunEventStore

The /history endpoint now reads messages directly from the
checkpointer's channel_values (the authoritative source) instead of
querying RunEventStore.list_messages(). The RunEventStore API is
preserved for other consumers.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(persistence): address new Copilot review comments

- feedback.py: validate thread_id/run_id before deleting feedback
- jsonl.py: add path traversal protection with ID validation
- run_repo.py: parse `before` to datetime for PostgreSQL compat
- thread_meta_repo.py: fix pagination when metadata filter is active
- database_config.py: use resolve_path for sqlite_dir consistency

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Implement skill self-evolution and skill_manage flow (#1874)

* chore: ignore .worktrees directory

* Add skill_manage self-evolution flow

* Fix CI regressions for skill_manage

* Address PR review feedback for skill evolution

* fix(skill-evolution): preserve history on delete

* fix(skill-evolution): tighten scanner fallbacks

* docs: add skill_manage e2e evidence screenshot

* fix(skill-manage): avoid blocking fs ops in session runtime

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>

* fix(config): resolve sqlite_dir relative to CWD, not Paths.base_dir

resolve_path() resolves relative to Paths.base_dir (.deer-flow),
which double-nested the path to .deer-flow/.deer-flow/data/app.db.
Use Path.resolve() (CWD-relative) instead.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Feature/feishu receive file (#1608)

* feat(feishu): add channel file materialization hook for inbound messages

- Introduce Channel.receive_file(msg, thread_id) as a base method for file materialization; default is no-op.
- Implement FeishuChannel.receive_file to download files/images from Feishu messages, save to sandbox, and inject virtual paths into msg.text.
- Update ChannelManager to call receive_file for any channel if msg.files is present, enabling downstream model access to user-uploaded files.
- No impact on Slack/Telegram or other channels (they inherit the default no-op).

* style(backend): format code with ruff for lint compliance

- Auto-formatted packages/harness/deerflow/agents/factory.py and tests/test_create_deerflow_agent.py using `ruff format`
- Ensured both files conform to project linting standards
- Fixes CI lint check failures caused by code style issues

* fix(feishu): handle file write operation asynchronously to prevent blocking

* fix(feishu): rename GetMessageResourceRequest to _GetMessageResourceRequest and remove redundant code

* test(feishu): add tests for receive_file method and placeholder replacement

* fix(manager): remove unnecessary type casting for channel retrieval

* fix(feishu): update logging messages to reflect resource handling instead of image

* fix(feishu): sanitize filename by replacing invalid characters in file uploads

* fix(feishu): improve filename sanitization and reorder image key handling in message processing

* fix(feishu): add thread lock to prevent filename conflicts during file downloads

* fix(test): correct bad merge in test_feishu_parser.py

* chore: run ruff and apply formatting cleanup
fix(feishu): preserve rich-text attachment order and improve fallback filename handling

* fix(docker): restore gateway env vars and fix langgraph empty arg issue (#1915)

Two production docker-compose.yaml bugs prevent `make up` from working:

1. Gateway missing DEER_FLOW_CONFIG_PATH and DEER_FLOW_EXTENSIONS_CONFIG_PATH
   environment overrides. Added in fb2d99f (#1836) but accidentally reverted
   by ca2fb95 (#1847). Without them, gateway reads host paths from .env via
   env_file, causing FileNotFoundError inside the container.

2. Langgraph command fails when LANGGRAPH_ALLOW_BLOCKING is unset (default).
   Empty $${allow_blocking} inserts a bare space between flags, causing
   ' --no-reload' to be parsed as unexpected extra argument. Fix by building
   args string first and conditionally appending --allow-blocking.

Co-authored-by: cooper <cooperfu@tencent.com>

* fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities (#1904)

* fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities

Fix `<button>` inside `<a>` invalid HTML in artifact components and add
missing `noopener,noreferrer` to `window.open` calls to prevent reverse
tabnabbing.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix(frontend): address Copilot review on tabnabbing and double-tab-open

Remove redundant parent onClick on web_fetch ChainOfThoughtStep to
prevent opening two tabs on link click, and explicitly null out
window.opener after window.open() for defensive tabnabbing hardening.

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

* refactor(persistence): organize entities into per-entity directories

Restructure the persistence layer from horizontal "models/ + repositories/"
split into vertical entity-aligned directories. Each entity (thread_meta,
run, feedback) now owns its ORM model, abstract interface (where applicable),
and concrete implementations under a single directory with an aggregating
__init__.py for one-line imports.

Layout:
  persistence/thread_meta/{base,model,sql,memory}.py
  persistence/run/{model,sql}.py
  persistence/feedback/{model,sql}.py

models/__init__.py is kept as a facade so Alembic autogenerate continues to
discover all ORM tables via Base.metadata. RunEventRow remains under
models/run_event.py because its storage implementation lives in
runtime/events/store/db.py and has no matching repository directory.

The repositories/ directory is removed entirely. All call sites in
gateway/deps.py and tests are updated to import from the new entity
packages, e.g.:

    from deerflow.persistence.thread_meta import ThreadMetaRepository
    from deerflow.persistence.run import RunRepository
    from deerflow.persistence.feedback import FeedbackRepository

Full test suite passes (1690 passed, 14 skipped).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(gateway): sync thread rename and delete through ThreadMetaStore

The POST /threads/{id}/state endpoint previously synced title changes
only to the LangGraph Store via _store_upsert. In sqlite mode the search
endpoint reads from the ThreadMetaRepository SQL table, so renames never
appeared in /threads/search until the next agent run completed (worker.py
syncs title from checkpoint to thread_meta in its finally block).

Likewise the DELETE /threads/{id} endpoint cleaned up the filesystem,
Store, and checkpointer but left the threads_meta row orphaned in sqlite,
so deleted threads kept appearing in /threads/search.

Fix both endpoints by routing through the ThreadMetaStore abstraction
which already has the correct sqlite/memory implementations wired up by
deps.py. The rename path now calls update_display_name() and the delete
path calls delete() — both work uniformly across backends.

Verified end-to-end with curl in gateway mode against sqlite backend.
Existing test suite (1690 passed) and focused router/repo tests pass.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* refactor(gateway): route all thread metadata access through ThreadMetaStore

Following the rename/delete bug fix in PR1, migrate the remaining direct
LangGraph Store reads/writes in the threads router and services to the
ThreadMetaStore abstraction so that the sqlite and memory backends behave
identically and the legacy dual-write paths can be removed.

Migrated endpoints (threads.py):
- create_thread: idempotency check + write now use thread_meta_repo.get/create
  instead of dual-writing the LangGraph Store and the SQL row.
- get_thread: reads from thread_meta_repo.get; the checkpoint-only fallback
  for legacy threads is preserved.
- patch_thread: replaced _store_get/_store_put with thread_meta_repo.update_metadata.
- delete_thread_data: dropped the legacy store.adelete; thread_meta_repo.delete
  already covers it.

Removed dead code (services.py):
- _upsert_thread_in_store — redundant with the immediately following
  thread_meta_repo.create() call.
- _sync_thread_title_after_run — worker.py's finally block already syncs
  the title via thread_meta_repo.update_display_name() after each run.

Removed dead code (threads.py):
- _store_get / _store_put / _store_upsert helpers (no remaining callers).
- THREADS_NS constant.
- get_store import (router no longer touches the LangGraph Store directly).

New abstract method:
- ThreadMetaStore.update_metadata(thread_id, metadata) merges metadata into
  the thread's metadata field. Implemented in both ThreadMetaRepository (SQL,
  read-modify-write inside one session) and MemoryThreadMetaStore. Three new
  unit tests cover merge / empty / nonexistent behaviour.

Net change: -134 lines. Full test suite: 1693 passed, 14 skipped.
Verified end-to-end with curl in gateway mode against sqlite backend
(create / patch / get / rename / search / delete).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: JilongSun <965640067@qq.com>
Co-authored-by: jie <49781832+stan-fu@users.noreply.github.com>
Co-authored-by: cooper <cooperfu@tencent.com>
Co-authored-by: yangzheli <43645580+yangzheli@users.noreply.github.com>
2026-04-11 11:23:39 +08:00
143 changed files with 15556 additions and 805 deletions
+4
View File
@@ -33,5 +33,9 @@ INFOQUEST_API_KEY=your-infoquest-api-key
# GitHub API Token
# GITHUB_TOKEN=your-github-token
# Database (only needed when config.yaml has database.backend: postgres)
# DATABASE_URL=postgresql://deerflow:password@localhost:5432/deerflow
#
# WECOM_BOT_ID=your-wecom-bot-id
# WECOM_BOT_SECRET=your-wecom-bot-secret
+5 -1
View File
@@ -13,6 +13,9 @@ FROM python:3.12-slim-bookworm AS builder
ARG NODE_MAJOR=22
ARG APT_MIRROR
ARG UV_INDEX_URL
# Optional extras to install (e.g. "postgres" for PostgreSQL support)
# Usage: docker build --build-arg UV_EXTRAS=postgres ...
ARG UV_EXTRAS
# Optionally override apt mirror for restricted networks (e.g. APT_MIRROR=mirrors.aliyun.com)
RUN if [ -n "${APT_MIRROR}" ]; then \
@@ -43,8 +46,9 @@ WORKDIR /app
COPY backend ./backend
# Install dependencies with cache mount
# When UV_EXTRAS is set (e.g. "postgres"), installs optional dependencies.
RUN --mount=type=cache,target=/root/.cache/uv \
sh -c "cd backend && UV_INDEX_URL=${UV_INDEX_URL:-https://pypi.org/simple} uv sync"
sh -c "cd backend && UV_INDEX_URL=${UV_INDEX_URL:-https://pypi.org/simple} uv sync ${UV_EXTRAS:+--extra $UV_EXTRAS}"
# ── Stage 2: Dev ──────────────────────────────────────────────────────────────
# Retains compiler toolchain from builder so startup-time `uv sync` can build
+161 -1
View File
@@ -1,16 +1,23 @@
import logging
import os
from collections.abc import AsyncGenerator
from contextlib import asynccontextmanager
from datetime import UTC
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.gateway.auth_middleware import AuthMiddleware
from app.gateway.config import get_gateway_config
from app.gateway.csrf_middleware import CSRFMiddleware
from app.gateway.deps import langgraph_runtime
from app.gateway.routers import (
agents,
artifacts,
assistants_compat,
auth,
channels,
feedback,
mcp,
memory,
models,
@@ -33,6 +40,125 @@ logging.basicConfig(
logger = logging.getLogger(__name__)
async def _ensure_admin_user(app: FastAPI) -> None:
"""Auto-create the admin user on first boot if no users exist.
After admin creation, migrate orphan threads from the LangGraph
store (metadata.owner_id unset) to the admin account. This is the
"no-auth → with-auth" upgrade path: users who ran DeerFlow without
authentication have existing LangGraph thread data that needs an
owner assigned.
No SQL persistence migration is needed: the four owner_id columns
(threads_meta, runs, run_events, feedback) only come into existence
alongside the auth module via create_all, so freshly created tables
never contain NULL-owner rows. "Existing persistence DB + new auth"
is not a supported upgrade path — fresh install or wipe-and-retry.
Multi-worker safe: relies on SQLite UNIQUE constraint to resolve
races during admin creation. Only the worker that successfully
creates/updates the admin prints the password; losers silently skip.
"""
import secrets
from app.gateway.auth.credential_file import write_initial_credentials
from app.gateway.deps import get_local_provider
def _announce_credentials(email: str, password: str, *, label: str, headline: str) -> None:
"""Write the password to a 0600 file and log the path (never the secret)."""
cred_path = write_initial_credentials(email, password, label=label)
logger.info("=" * 60)
logger.info(" %s", headline)
logger.info(" Credentials written to: %s (mode 0600)", cred_path)
logger.info(" Change it after login: Settings -> Account")
logger.info("=" * 60)
provider = get_local_provider()
user_count = await provider.count_users()
admin = None
if user_count == 0:
password = secrets.token_urlsafe(16)
try:
admin = await provider.create_user(email="admin@deerflow.dev", password=password, system_role="admin", needs_setup=True)
except ValueError:
return # Another worker already created the admin.
_announce_credentials(admin.email, password, label="initial", headline="Admin account created on first boot")
else:
# Admin exists but setup never completed — reset password so operator
# can always find it in the console without needing the CLI.
# Multi-worker guard: if admin was created less than 30s ago, another
# worker just created it and will print the password — skip reset.
admin = await provider.get_user_by_email("admin@deerflow.dev")
if admin and admin.needs_setup:
import time
age = time.time() - admin.created_at.replace(tzinfo=UTC).timestamp()
if age >= 30:
from app.gateway.auth.password import hash_password_async
password = secrets.token_urlsafe(16)
admin.password_hash = await hash_password_async(password)
admin.token_version += 1
await provider.update_user(admin)
_announce_credentials(admin.email, password, label="reset", headline="Admin account setup incomplete — password reset")
if admin is None:
return # Nothing to bind orphans to.
admin_id = str(admin.id)
# LangGraph store orphan migration — non-fatal.
# This covers the "no-auth → with-auth" upgrade path for users
# whose existing LangGraph thread metadata has no owner_id set.
store = getattr(app.state, "store", None)
if store is not None:
try:
migrated = await _migrate_orphaned_threads(store, admin_id)
if migrated:
logger.info("Migrated %d orphan LangGraph thread(s) to admin", migrated)
except Exception:
logger.exception("LangGraph thread migration failed (non-fatal)")
async def _iter_store_items(store, namespace, *, page_size: int = 500):
"""Paginated async iterator over a LangGraph store namespace.
Replaces the old hardcoded ``limit=1000`` call with a cursor-style
loop so that environments with more than one page of orphans do
not silently lose data. Terminates when a page is empty OR when a
short page arrives (indicating the last page).
"""
offset = 0
while True:
batch = await store.asearch(namespace, limit=page_size, offset=offset)
if not batch:
return
for item in batch:
yield item
if len(batch) < page_size:
return
offset += page_size
async def _migrate_orphaned_threads(store, admin_user_id: str) -> int:
"""Migrate LangGraph store threads with no owner_id to the given admin.
Uses cursor pagination so all orphans are migrated regardless of
count. Returns the number of rows migrated.
"""
migrated = 0
async for item in _iter_store_items(store, ("threads",)):
metadata = item.value.get("metadata", {})
if not metadata.get("owner_id"):
metadata["owner_id"] = admin_user_id
item.value["metadata"] = metadata
await store.aput(("threads",), item.key, item.value)
migrated += 1
return migrated
@asynccontextmanager
async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
"""Application lifespan handler."""
@@ -52,6 +178,10 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
async with langgraph_runtime(app):
logger.info("LangGraph runtime initialised")
# Ensure admin user exists (auto-create on first boot)
# Must run AFTER langgraph_runtime so app.state.store is available for thread migration
await _ensure_admin_user(app)
# Start IM channel service if any channels are configured
try:
from app.channels.service import start_channel_service
@@ -163,7 +293,31 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
],
)
# CORS is handled by nginx - no need for FastAPI middleware
# Auth: reject unauthenticated requests to non-public paths (fail-closed safety net)
app.add_middleware(AuthMiddleware)
# CSRF: Double Submit Cookie pattern for state-changing requests
app.add_middleware(CSRFMiddleware)
# CORS: when GATEWAY_CORS_ORIGINS is set (dev without nginx), add CORS middleware.
# In production, nginx handles CORS and no middleware is needed.
cors_origins_env = os.environ.get("GATEWAY_CORS_ORIGINS", "")
if cors_origins_env:
cors_origins = [o.strip() for o in cors_origins_env.split(",") if o.strip()]
# Validate: wildcard origin with credentials is a security misconfiguration
for origin in cors_origins:
if origin == "*":
logger.error("GATEWAY_CORS_ORIGINS contains wildcard '*' with allow_credentials=True. This is a security misconfiguration — browsers will reject the response. Use explicit scheme://host:port origins instead.")
cors_origins = [o for o in cors_origins if o != "*"]
break
if cors_origins:
app.add_middleware(
CORSMiddleware,
allow_origins=cors_origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include routers
# Models API is mounted at /api/models
@@ -199,6 +353,12 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
# Assistants compatibility API (LangGraph Platform stub)
app.include_router(assistants_compat.router)
# Auth API is mounted at /api/v1/auth
app.include_router(auth.router)
# Feedback API is mounted at /api/threads/{thread_id}/runs/{run_id}/feedback
app.include_router(feedback.router)
# Thread Runs API (LangGraph Platform-compatible runs lifecycle)
app.include_router(thread_runs.router)
+42
View File
@@ -0,0 +1,42 @@
"""Authentication module for DeerFlow.
This module provides:
- JWT-based authentication
- Provider Factory pattern for extensible auth methods
- UserRepository interface for storage backends (SQLite)
"""
from app.gateway.auth.config import AuthConfig, get_auth_config, set_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError
from app.gateway.auth.jwt import TokenPayload, create_access_token, decode_token
from app.gateway.auth.local_provider import LocalAuthProvider
from app.gateway.auth.models import User, UserResponse
from app.gateway.auth.password import hash_password, verify_password
from app.gateway.auth.providers import AuthProvider
from app.gateway.auth.repositories.base import UserRepository
__all__ = [
# Config
"AuthConfig",
"get_auth_config",
"set_auth_config",
# Errors
"AuthErrorCode",
"AuthErrorResponse",
"TokenError",
# JWT
"TokenPayload",
"create_access_token",
"decode_token",
# Password
"hash_password",
"verify_password",
# Models
"User",
"UserResponse",
# Providers
"AuthProvider",
"LocalAuthProvider",
# Repository
"UserRepository",
]
+57
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@@ -0,0 +1,57 @@
"""Authentication configuration for DeerFlow."""
import logging
import os
import secrets
from dotenv import load_dotenv
from pydantic import BaseModel, Field
load_dotenv()
logger = logging.getLogger(__name__)
class AuthConfig(BaseModel):
"""JWT and auth-related configuration. Parsed once at startup.
Note: the ``users`` table now lives in the shared persistence
database managed by ``deerflow.persistence.engine``. The old
``users_db_path`` config key has been removed — user storage is
configured through ``config.database`` like every other table.
"""
jwt_secret: str = Field(
...,
description="Secret key for JWT signing. MUST be set via AUTH_JWT_SECRET.",
)
token_expiry_days: int = Field(default=7, ge=1, le=30)
oauth_github_client_id: str | None = Field(default=None)
oauth_github_client_secret: str | None = Field(default=None)
_auth_config: AuthConfig | None = None
def get_auth_config() -> AuthConfig:
"""Get the global AuthConfig instance. Parses from env on first call."""
global _auth_config
if _auth_config is None:
jwt_secret = os.environ.get("AUTH_JWT_SECRET")
if not jwt_secret:
jwt_secret = secrets.token_urlsafe(32)
os.environ["AUTH_JWT_SECRET"] = jwt_secret
logger.warning(
"⚠ AUTH_JWT_SECRET is not set — using an auto-generated ephemeral secret. "
"Sessions will be invalidated on restart. "
"For production, add AUTH_JWT_SECRET to your .env file: "
'python -c "import secrets; print(secrets.token_urlsafe(32))"'
)
_auth_config = AuthConfig(jwt_secret=jwt_secret)
return _auth_config
def set_auth_config(config: AuthConfig) -> None:
"""Set the global AuthConfig instance (for testing)."""
global _auth_config
_auth_config = config
@@ -0,0 +1,48 @@
"""Write initial admin credentials to a restricted file instead of logs.
Logging secrets to stdout/stderr is a well-known CodeQL finding
(py/clear-text-logging-sensitive-data) — in production those logs
get collected into ELK/Splunk/etc and become a secret sprawl
source. This helper writes the credential to a 0600 file that only
the process user can read, and returns the path so the caller can
log **the path** (not the password) for the operator to pick up.
"""
from __future__ import annotations
import os
from pathlib import Path
from deerflow.config.paths import get_paths
_CREDENTIAL_FILENAME = "admin_initial_credentials.txt"
def write_initial_credentials(email: str, password: str, *, label: str = "initial") -> Path:
"""Write the admin email + password to ``{base_dir}/admin_initial_credentials.txt``.
The file is created **atomically** with mode 0600 via ``os.open``
so the password is never world-readable, even for the single syscall
window between ``write_text`` and ``chmod``.
``label`` distinguishes "initial" (fresh creation) from "reset"
(password reset) in the file header so an operator picking up the
file after a restart can tell which event produced it.
Returns the absolute :class:`Path` to the file.
"""
target = get_paths().base_dir / _CREDENTIAL_FILENAME
target.parent.mkdir(parents=True, exist_ok=True)
content = (
f"# DeerFlow admin {label} credentials\n# This file is generated on first boot or password reset.\n# Change the password after login via Settings -> Account,\n# then delete this file.\n#\nemail: {email}\npassword: {password}\n"
)
# Atomic 0600 create-or-truncate. O_TRUNC (not O_EXCL) so the
# reset-password path can rewrite an existing file without a
# separate unlink-then-create dance.
fd = os.open(target, os.O_WRONLY | os.O_CREAT | os.O_TRUNC, 0o600)
with os.fdopen(fd, "w", encoding="utf-8") as fh:
fh.write(content)
return target.resolve()
+44
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@@ -0,0 +1,44 @@
"""Typed error definitions for auth module.
AuthErrorCode: exhaustive enum of all auth failure conditions.
TokenError: exhaustive enum of JWT decode failures.
AuthErrorResponse: structured error payload for HTTP responses.
"""
from enum import StrEnum
from pydantic import BaseModel
class AuthErrorCode(StrEnum):
"""Exhaustive list of auth error conditions."""
INVALID_CREDENTIALS = "invalid_credentials"
TOKEN_EXPIRED = "token_expired"
TOKEN_INVALID = "token_invalid"
USER_NOT_FOUND = "user_not_found"
EMAIL_ALREADY_EXISTS = "email_already_exists"
PROVIDER_NOT_FOUND = "provider_not_found"
NOT_AUTHENTICATED = "not_authenticated"
class TokenError(StrEnum):
"""Exhaustive list of JWT decode failure reasons."""
EXPIRED = "expired"
INVALID_SIGNATURE = "invalid_signature"
MALFORMED = "malformed"
class AuthErrorResponse(BaseModel):
"""Structured error response — replaces bare `detail` strings."""
code: AuthErrorCode
message: str
def token_error_to_code(err: TokenError) -> AuthErrorCode:
"""Map TokenError to AuthErrorCode — single source of truth."""
if err == TokenError.EXPIRED:
return AuthErrorCode.TOKEN_EXPIRED
return AuthErrorCode.TOKEN_INVALID
+55
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@@ -0,0 +1,55 @@
"""JWT token creation and verification."""
from datetime import UTC, datetime, timedelta
import jwt
from pydantic import BaseModel
from app.gateway.auth.config import get_auth_config
from app.gateway.auth.errors import TokenError
class TokenPayload(BaseModel):
"""JWT token payload."""
sub: str # user_id
exp: datetime
iat: datetime | None = None
ver: int = 0 # token_version — must match User.token_version
def create_access_token(user_id: str, expires_delta: timedelta | None = None, token_version: int = 0) -> str:
"""Create a JWT access token.
Args:
user_id: The user's UUID as string
expires_delta: Optional custom expiry, defaults to 7 days
token_version: User's current token_version for invalidation
Returns:
Encoded JWT string
"""
config = get_auth_config()
expiry = expires_delta or timedelta(days=config.token_expiry_days)
now = datetime.now(UTC)
payload = {"sub": user_id, "exp": now + expiry, "iat": now, "ver": token_version}
return jwt.encode(payload, config.jwt_secret, algorithm="HS256")
def decode_token(token: str) -> TokenPayload | TokenError:
"""Decode and validate a JWT token.
Returns:
TokenPayload if valid, or a specific TokenError variant.
"""
config = get_auth_config()
try:
payload = jwt.decode(token, config.jwt_secret, algorithms=["HS256"])
return TokenPayload(**payload)
except jwt.ExpiredSignatureError:
return TokenError.EXPIRED
except jwt.InvalidSignatureError:
return TokenError.INVALID_SIGNATURE
except jwt.PyJWTError:
return TokenError.MALFORMED
@@ -0,0 +1,87 @@
"""Local email/password authentication provider."""
from app.gateway.auth.models import User
from app.gateway.auth.password import hash_password_async, verify_password_async
from app.gateway.auth.providers import AuthProvider
from app.gateway.auth.repositories.base import UserRepository
class LocalAuthProvider(AuthProvider):
"""Email/password authentication provider using local database."""
def __init__(self, repository: UserRepository):
"""Initialize with a UserRepository.
Args:
repository: UserRepository implementation (SQLite)
"""
self._repo = repository
async def authenticate(self, credentials: dict) -> User | None:
"""Authenticate with email and password.
Args:
credentials: dict with 'email' and 'password' keys
Returns:
User if authentication succeeds, None otherwise
"""
email = credentials.get("email")
password = credentials.get("password")
if not email or not password:
return None
user = await self._repo.get_user_by_email(email)
if user is None:
return None
if user.password_hash is None:
# OAuth user without local password
return None
if not await verify_password_async(password, user.password_hash):
return None
return user
async def get_user(self, user_id: str) -> User | None:
"""Get user by ID."""
return await self._repo.get_user_by_id(user_id)
async def create_user(self, email: str, password: str | None = None, system_role: str = "user", needs_setup: bool = False) -> User:
"""Create a new local user.
Args:
email: User email address
password: Plain text password (will be hashed)
system_role: Role to assign ("admin" or "user")
needs_setup: If True, user must complete setup on first login
Returns:
Created User instance
"""
password_hash = await hash_password_async(password) if password else None
user = User(
email=email,
password_hash=password_hash,
system_role=system_role,
needs_setup=needs_setup,
)
return await self._repo.create_user(user)
async def get_user_by_oauth(self, provider: str, oauth_id: str) -> User | None:
"""Get user by OAuth provider and ID."""
return await self._repo.get_user_by_oauth(provider, oauth_id)
async def count_users(self) -> int:
"""Return total number of registered users."""
return await self._repo.count_users()
async def update_user(self, user: User) -> User:
"""Update an existing user."""
return await self._repo.update_user(user)
async def get_user_by_email(self, email: str) -> User | None:
"""Get user by email."""
return await self._repo.get_user_by_email(email)
+41
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@@ -0,0 +1,41 @@
"""User Pydantic models for authentication."""
from datetime import UTC, datetime
from typing import Literal
from uuid import UUID, uuid4
from pydantic import BaseModel, ConfigDict, EmailStr, Field
def _utc_now() -> datetime:
"""Return current UTC time (timezone-aware)."""
return datetime.now(UTC)
class User(BaseModel):
"""Internal user representation."""
model_config = ConfigDict(from_attributes=True)
id: UUID = Field(default_factory=uuid4, description="Primary key")
email: EmailStr = Field(..., description="Unique email address")
password_hash: str | None = Field(None, description="bcrypt hash, nullable for OAuth users")
system_role: Literal["admin", "user"] = Field(default="user")
created_at: datetime = Field(default_factory=_utc_now)
# OAuth linkage (optional)
oauth_provider: str | None = Field(None, description="e.g. 'github', 'google'")
oauth_id: str | None = Field(None, description="User ID from OAuth provider")
# Auth lifecycle
needs_setup: bool = Field(default=False, description="True for auto-created admin until setup completes")
token_version: int = Field(default=0, description="Incremented on password change to invalidate old JWTs")
class UserResponse(BaseModel):
"""Response model for user info endpoint."""
id: str
email: str
system_role: Literal["admin", "user"]
needs_setup: bool = False
+33
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@@ -0,0 +1,33 @@
"""Password hashing utilities using bcrypt directly."""
import asyncio
import bcrypt
def hash_password(password: str) -> str:
"""Hash a password using bcrypt."""
return bcrypt.hashpw(password.encode("utf-8"), bcrypt.gensalt()).decode("utf-8")
def verify_password(plain_password: str, hashed_password: str) -> bool:
"""Verify a password against its hash."""
return bcrypt.checkpw(plain_password.encode("utf-8"), hashed_password.encode("utf-8"))
async def hash_password_async(password: str) -> str:
"""Hash a password using bcrypt (non-blocking).
Wraps the blocking bcrypt operation in a thread pool to avoid
blocking the event loop during password hashing.
"""
return await asyncio.to_thread(hash_password, password)
async def verify_password_async(plain_password: str, hashed_password: str) -> bool:
"""Verify a password against its hash (non-blocking).
Wraps the blocking bcrypt operation in a thread pool to avoid
blocking the event loop during password verification.
"""
return await asyncio.to_thread(verify_password, plain_password, hashed_password)
+24
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@@ -0,0 +1,24 @@
"""Auth provider abstraction."""
from abc import ABC, abstractmethod
class AuthProvider(ABC):
"""Abstract base class for authentication providers."""
@abstractmethod
async def authenticate(self, credentials: dict) -> "User | None":
"""Authenticate user with given credentials.
Returns User if authentication succeeds, None otherwise.
"""
...
@abstractmethod
async def get_user(self, user_id: str) -> "User | None":
"""Retrieve user by ID."""
...
# Import User at runtime to avoid circular imports
from app.gateway.auth.models import User # noqa: E402
@@ -0,0 +1,97 @@
"""User repository interface for abstracting database operations."""
from abc import ABC, abstractmethod
from app.gateway.auth.models import User
class UserNotFoundError(LookupError):
"""Raised when a user repository operation targets a non-existent row.
Subclass of :class:`LookupError` so callers that already catch
``LookupError`` for "missing entity" can keep working unchanged,
while specific call sites can pin to this class to distinguish
"concurrent delete during update" from other lookups.
"""
class UserRepository(ABC):
"""Abstract interface for user data storage.
Implement this interface to support different storage backends
(SQLite)
"""
@abstractmethod
async def create_user(self, user: User) -> User:
"""Create a new user.
Args:
user: User object to create
Returns:
Created User with ID assigned
Raises:
ValueError: If email already exists
"""
...
@abstractmethod
async def get_user_by_id(self, user_id: str) -> User | None:
"""Get user by ID.
Args:
user_id: User UUID as string
Returns:
User if found, None otherwise
"""
...
@abstractmethod
async def get_user_by_email(self, email: str) -> User | None:
"""Get user by email.
Args:
email: User email address
Returns:
User if found, None otherwise
"""
...
@abstractmethod
async def update_user(self, user: User) -> User:
"""Update an existing user.
Args:
user: User object with updated fields
Returns:
Updated User
Raises:
UserNotFoundError: If no row exists for ``user.id``. This is
a hard failure (not a no-op) so callers cannot mistake a
concurrent-delete race for a successful update.
"""
...
@abstractmethod
async def count_users(self) -> int:
"""Return total number of registered users."""
...
@abstractmethod
async def get_user_by_oauth(self, provider: str, oauth_id: str) -> User | None:
"""Get user by OAuth provider and ID.
Args:
provider: OAuth provider name (e.g. 'github', 'google')
oauth_id: User ID from the OAuth provider
Returns:
User if found, None otherwise
"""
...
@@ -0,0 +1,122 @@
"""SQLAlchemy-backed UserRepository implementation.
Uses the shared async session factory from
``deerflow.persistence.engine`` — the ``users`` table lives in the
same database as ``threads_meta``, ``runs``, ``run_events``, and
``feedback``.
Constructor takes the session factory directly (same pattern as the
other four repositories in ``deerflow.persistence.*``). Callers
construct this after ``init_engine_from_config()`` has run.
"""
from __future__ import annotations
from datetime import UTC
from uuid import UUID
from sqlalchemy import func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from app.gateway.auth.models import User
from app.gateway.auth.repositories.base import UserNotFoundError, UserRepository
from deerflow.persistence.user.model import UserRow
class SQLiteUserRepository(UserRepository):
"""Async user repository backed by the shared SQLAlchemy engine."""
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
# ── Converters ────────────────────────────────────────────────────
@staticmethod
def _row_to_user(row: UserRow) -> User:
return User(
id=UUID(row.id),
email=row.email,
password_hash=row.password_hash,
system_role=row.system_role, # type: ignore[arg-type]
# SQLite loses tzinfo on read; reattach UTC so downstream
# code can compare timestamps reliably.
created_at=row.created_at if row.created_at.tzinfo else row.created_at.replace(tzinfo=UTC),
oauth_provider=row.oauth_provider,
oauth_id=row.oauth_id,
needs_setup=row.needs_setup,
token_version=row.token_version,
)
@staticmethod
def _user_to_row(user: User) -> UserRow:
return UserRow(
id=str(user.id),
email=user.email,
password_hash=user.password_hash,
system_role=user.system_role,
created_at=user.created_at,
oauth_provider=user.oauth_provider,
oauth_id=user.oauth_id,
needs_setup=user.needs_setup,
token_version=user.token_version,
)
# ── CRUD ──────────────────────────────────────────────────────────
async def create_user(self, user: User) -> User:
"""Insert a new user. Raises ``ValueError`` on duplicate email."""
row = self._user_to_row(user)
async with self._sf() as session:
session.add(row)
try:
await session.commit()
except IntegrityError as exc:
await session.rollback()
raise ValueError(f"Email already registered: {user.email}") from exc
return user
async def get_user_by_id(self, user_id: str) -> User | None:
async with self._sf() as session:
row = await session.get(UserRow, user_id)
return self._row_to_user(row) if row is not None else None
async def get_user_by_email(self, email: str) -> User | None:
stmt = select(UserRow).where(UserRow.email == email)
async with self._sf() as session:
result = await session.execute(stmt)
row = result.scalar_one_or_none()
return self._row_to_user(row) if row is not None else None
async def update_user(self, user: User) -> User:
async with self._sf() as session:
row = await session.get(UserRow, str(user.id))
if row is None:
# Hard fail on concurrent delete: callers (reset_admin,
# password change handlers, _ensure_admin_user) all
# fetched the user just before this call, so a missing
# row here means the row vanished underneath us. Silent
# success would let the caller log "password reset" for
# a row that no longer exists.
raise UserNotFoundError(f"User {user.id} no longer exists")
row.email = user.email
row.password_hash = user.password_hash
row.system_role = user.system_role
row.oauth_provider = user.oauth_provider
row.oauth_id = user.oauth_id
row.needs_setup = user.needs_setup
row.token_version = user.token_version
await session.commit()
return user
async def count_users(self) -> int:
stmt = select(func.count()).select_from(UserRow)
async with self._sf() as session:
return await session.scalar(stmt) or 0
async def get_user_by_oauth(self, provider: str, oauth_id: str) -> User | None:
stmt = select(UserRow).where(UserRow.oauth_provider == provider, UserRow.oauth_id == oauth_id)
async with self._sf() as session:
result = await session.execute(stmt)
row = result.scalar_one_or_none()
return self._row_to_user(row) if row is not None else None
+91
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@@ -0,0 +1,91 @@
"""CLI tool to reset an admin password.
Usage:
python -m app.gateway.auth.reset_admin
python -m app.gateway.auth.reset_admin --email admin@example.com
Writes the new password to ``.deer-flow/admin_initial_credentials.txt``
(mode 0600) instead of printing it, so CI / log aggregators never see
the cleartext secret.
"""
from __future__ import annotations
import argparse
import asyncio
import secrets
import sys
from sqlalchemy import select
from app.gateway.auth.credential_file import write_initial_credentials
from app.gateway.auth.password import hash_password
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
from deerflow.persistence.user.model import UserRow
async def _run(email: str | None) -> int:
from deerflow.config import get_app_config
from deerflow.persistence.engine import (
close_engine,
get_session_factory,
init_engine_from_config,
)
config = get_app_config()
await init_engine_from_config(config.database)
try:
sf = get_session_factory()
if sf is None:
print("Error: persistence engine not available (check config.database).", file=sys.stderr)
return 1
repo = SQLiteUserRepository(sf)
if email:
user = await repo.get_user_by_email(email)
else:
# Find first admin via direct SELECT — repository does not
# expose a "first admin" helper and we do not want to add
# one just for this CLI.
async with sf() as session:
stmt = select(UserRow).where(UserRow.system_role == "admin").limit(1)
row = (await session.execute(stmt)).scalar_one_or_none()
if row is None:
user = None
else:
user = await repo.get_user_by_id(row.id)
if user is None:
if email:
print(f"Error: user '{email}' not found.", file=sys.stderr)
else:
print("Error: no admin user found.", file=sys.stderr)
return 1
new_password = secrets.token_urlsafe(16)
user.password_hash = hash_password(new_password)
user.token_version += 1
user.needs_setup = True
await repo.update_user(user)
cred_path = write_initial_credentials(user.email, new_password, label="reset")
print(f"Password reset for: {user.email}")
print(f"Credentials written to: {cred_path} (mode 0600)")
print("Next login will require setup (new email + password).")
return 0
finally:
await close_engine()
def main() -> None:
parser = argparse.ArgumentParser(description="Reset admin password")
parser.add_argument("--email", help="Admin email (default: first admin found)")
args = parser.parse_args()
exit_code = asyncio.run(_run(args.email))
sys.exit(exit_code)
if __name__ == "__main__":
main()
+117
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@@ -0,0 +1,117 @@
"""Global authentication middleware — fail-closed safety net.
Rejects unauthenticated requests to non-public paths with 401. When a
request passes the cookie check, resolves the JWT payload to a real
``User`` object and stamps it into both ``request.state.user`` and the
``deerflow.runtime.user_context`` contextvar so that repository-layer
owner filtering works automatically via the sentinel pattern.
Fine-grained permission checks remain in authz.py decorators.
"""
from collections.abc import Callable
from fastapi import HTTPException, Request, Response
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.responses import JSONResponse
from starlette.types import ASGIApp
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse
from app.gateway.authz import _ALL_PERMISSIONS, AuthContext
from deerflow.runtime.user_context import reset_current_user, set_current_user
# Paths that never require authentication.
_PUBLIC_PATH_PREFIXES: tuple[str, ...] = (
"/health",
"/docs",
"/redoc",
"/openapi.json",
)
# Exact auth paths that are public (login/register/status check).
# /api/v1/auth/me, /api/v1/auth/change-password etc. are NOT public.
_PUBLIC_EXACT_PATHS: frozenset[str] = frozenset(
{
"/api/v1/auth/login/local",
"/api/v1/auth/register",
"/api/v1/auth/logout",
"/api/v1/auth/setup-status",
}
)
def _is_public(path: str) -> bool:
stripped = path.rstrip("/")
if stripped in _PUBLIC_EXACT_PATHS:
return True
return any(path.startswith(prefix) for prefix in _PUBLIC_PATH_PREFIXES)
class AuthMiddleware(BaseHTTPMiddleware):
"""Strict auth gate: reject requests without a valid session.
Two-stage check for non-public paths:
1. Cookie presence — return 401 NOT_AUTHENTICATED if missing
2. JWT validation via ``get_optional_user_from_request`` — return 401
TOKEN_INVALID if the token is absent, malformed, expired, or the
signed user does not exist / is stale
On success, stamps ``request.state.user`` and the
``deerflow.runtime.user_context`` contextvar so that repository-layer
owner filters work downstream without every route needing a
``@require_auth`` decorator. Routes that need per-resource
authorization (e.g. "user A cannot read user B's thread by guessing
the URL") should additionally use ``@require_permission(...,
owner_check=True)`` for explicit enforcement — but authentication
itself is fully handled here.
"""
def __init__(self, app: ASGIApp) -> None:
super().__init__(app)
async def dispatch(self, request: Request, call_next: Callable) -> Response:
if _is_public(request.url.path):
return await call_next(request)
# Non-public path: require session cookie
if not request.cookies.get("access_token"):
return JSONResponse(
status_code=401,
content={
"detail": AuthErrorResponse(
code=AuthErrorCode.NOT_AUTHENTICATED,
message="Authentication required",
).model_dump()
},
)
# Strict JWT validation: reject junk/expired tokens with 401
# right here instead of silently passing through. This closes
# the "junk cookie bypass" gap (AUTH_TEST_PLAN test 7.5.8):
# without this, non-isolation routes like /api/models would
# accept any cookie-shaped string as authentication.
#
# We call the *strict* resolver so that fine-grained error
# codes (token_expired, token_invalid, user_not_found, …)
# propagate from AuthErrorCode, not get flattened into one
# generic code. BaseHTTPMiddleware doesn't let HTTPException
# bubble up, so we catch and render it as JSONResponse here.
from app.gateway.deps import get_current_user_from_request
try:
user = await get_current_user_from_request(request)
except HTTPException as exc:
return JSONResponse(status_code=exc.status_code, content={"detail": exc.detail})
# Stamp both request.state.user (for the contextvar pattern)
# and request.state.auth (so @require_permission's "auth is
# None" branch short-circuits instead of running the entire
# JWT-decode + DB-lookup pipeline a second time per request).
request.state.user = user
request.state.auth = AuthContext(user=user, permissions=_ALL_PERMISSIONS)
token = set_current_user(user)
try:
return await call_next(request)
finally:
reset_current_user(token)
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"""Authorization decorators and context for DeerFlow.
Inspired by LangGraph Auth system: https://github.com/langchain-ai/langgraph/blob/main/libs/sdk-py/langgraph_sdk/auth/__init__.py
**Usage:**
1. Use ``@require_auth`` on routes that need authentication
2. Use ``@require_permission("resource", "action", filter_key=...)`` for permission checks
3. The decorator chain processes from bottom to top
**Example:**
@router.get("/{thread_id}")
@require_auth
@require_permission("threads", "read", owner_check=True)
async def get_thread(thread_id: str, request: Request):
# User is authenticated and has threads:read permission
...
**Permission Model:**
- threads:read - View thread
- threads:write - Create/update thread
- threads:delete - Delete thread
- runs:create - Run agent
- runs:read - View run
- runs:cancel - Cancel run
"""
from __future__ import annotations
import functools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any, ParamSpec, TypeVar
from fastapi import HTTPException, Request
if TYPE_CHECKING:
from app.gateway.auth.models import User
P = ParamSpec("P")
T = TypeVar("T")
# Permission constants
class Permissions:
"""Permission constants for resource:action format."""
# Threads
THREADS_READ = "threads:read"
THREADS_WRITE = "threads:write"
THREADS_DELETE = "threads:delete"
# Runs
RUNS_CREATE = "runs:create"
RUNS_READ = "runs:read"
RUNS_CANCEL = "runs:cancel"
class AuthContext:
"""Authentication context for the current request.
Stored in request.state.auth after require_auth decoration.
Attributes:
user: The authenticated user, or None if anonymous
permissions: List of permission strings (e.g., "threads:read")
"""
__slots__ = ("user", "permissions")
def __init__(self, user: User | None = None, permissions: list[str] | None = None):
self.user = user
self.permissions = permissions or []
@property
def is_authenticated(self) -> bool:
"""Check if user is authenticated."""
return self.user is not None
def has_permission(self, resource: str, action: str) -> bool:
"""Check if context has permission for resource:action.
Args:
resource: Resource name (e.g., "threads")
action: Action name (e.g., "read")
Returns:
True if user has permission
"""
permission = f"{resource}:{action}"
return permission in self.permissions
def require_user(self) -> User:
"""Get user or raise 401.
Raises:
HTTPException 401 if not authenticated
"""
if not self.user:
raise HTTPException(status_code=401, detail="Authentication required")
return self.user
def get_auth_context(request: Request) -> AuthContext | None:
"""Get AuthContext from request state."""
return getattr(request.state, "auth", None)
_ALL_PERMISSIONS: list[str] = [
Permissions.THREADS_READ,
Permissions.THREADS_WRITE,
Permissions.THREADS_DELETE,
Permissions.RUNS_CREATE,
Permissions.RUNS_READ,
Permissions.RUNS_CANCEL,
]
async def _authenticate(request: Request) -> AuthContext:
"""Authenticate request and return AuthContext.
Delegates to deps.get_optional_user_from_request() for the JWT→User pipeline.
Returns AuthContext with user=None for anonymous requests.
"""
from app.gateway.deps import get_optional_user_from_request
user = await get_optional_user_from_request(request)
if user is None:
return AuthContext(user=None, permissions=[])
# In future, permissions could be stored in user record
return AuthContext(user=user, permissions=_ALL_PERMISSIONS)
def require_auth[**P, T](func: Callable[P, T]) -> Callable[P, T]:
"""Decorator that authenticates the request and sets AuthContext.
Must be placed ABOVE other decorators (executes after them).
Usage:
@router.get("/{thread_id}")
@require_auth # Bottom decorator (executes first after permission check)
@require_permission("threads", "read")
async def get_thread(thread_id: str, request: Request):
auth: AuthContext = request.state.auth
...
Raises:
ValueError: If 'request' parameter is missing
"""
@functools.wraps(func)
async def wrapper(*args: Any, **kwargs: Any) -> Any:
request = kwargs.get("request")
if request is None:
raise ValueError("require_auth decorator requires 'request' parameter")
# Authenticate and set context
auth_context = await _authenticate(request)
request.state.auth = auth_context
return await func(*args, **kwargs)
return wrapper
def require_permission(
resource: str,
action: str,
owner_check: bool = False,
require_existing: bool = False,
) -> Callable[[Callable[P, T]], Callable[P, T]]:
"""Decorator that checks permission for resource:action.
Must be used AFTER @require_auth.
Args:
resource: Resource name (e.g., "threads", "runs")
action: Action name (e.g., "read", "write", "delete")
owner_check: If True, validates that the current user owns the resource.
Requires 'thread_id' path parameter and performs ownership check.
require_existing: Only meaningful with ``owner_check=True``. If True, a
missing ``threads_meta`` row counts as a denial (404)
instead of "untracked legacy thread, allow". Use on
**destructive / mutating** routes (DELETE, PATCH,
state-update) so a deleted thread can't be re-targeted
by another user via the missing-row code path.
Usage:
# Read-style: legacy untracked threads are allowed
@require_permission("threads", "read", owner_check=True)
async def get_thread(thread_id: str, request: Request):
...
# Destructive: thread row MUST exist and be owned by caller
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_thread(thread_id: str, request: Request):
...
Raises:
HTTPException 401: If authentication required but user is anonymous
HTTPException 403: If user lacks permission
HTTPException 404: If owner_check=True but user doesn't own the thread
ValueError: If owner_check=True but 'thread_id' parameter is missing
"""
def decorator(func: Callable[P, T]) -> Callable[P, T]:
@functools.wraps(func)
async def wrapper(*args: Any, **kwargs: Any) -> Any:
request = kwargs.get("request")
if request is None:
raise ValueError("require_permission decorator requires 'request' parameter")
auth: AuthContext = getattr(request.state, "auth", None)
if auth is None:
auth = await _authenticate(request)
request.state.auth = auth
if not auth.is_authenticated:
raise HTTPException(status_code=401, detail="Authentication required")
# Check permission
if not auth.has_permission(resource, action):
raise HTTPException(
status_code=403,
detail=f"Permission denied: {resource}:{action}",
)
# Owner check for thread-specific resources.
#
# 2.0-rc moved thread metadata into the SQL persistence layer
# (``threads_meta`` table). We verify ownership via
# ``ThreadMetaStore.check_access``: it returns True for
# missing rows (untracked legacy thread) and for rows whose
# ``owner_id`` is NULL (shared / pre-auth data), so this is
# strict-deny rather than strict-allow — only an *existing*
# row with a *different* owner_id triggers 404.
if owner_check:
thread_id = kwargs.get("thread_id")
if thread_id is None:
raise ValueError("require_permission with owner_check=True requires 'thread_id' parameter")
from app.gateway.deps import get_thread_meta_repo
thread_meta_repo = get_thread_meta_repo(request)
allowed = await thread_meta_repo.check_access(
thread_id,
str(auth.user.id),
require_existing=require_existing,
)
if not allowed:
raise HTTPException(
status_code=404,
detail=f"Thread {thread_id} not found",
)
return await func(*args, **kwargs)
return wrapper
return decorator
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@@ -0,0 +1,112 @@
"""CSRF protection middleware for FastAPI.
Per RFC-001:
State-changing operations require CSRF protection.
"""
import secrets
from collections.abc import Callable
from fastapi import Request, Response
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.responses import JSONResponse
from starlette.types import ASGIApp
CSRF_COOKIE_NAME = "csrf_token"
CSRF_HEADER_NAME = "X-CSRF-Token"
CSRF_TOKEN_LENGTH = 64 # bytes
def is_secure_request(request: Request) -> bool:
"""Detect whether the original client request was made over HTTPS."""
return request.headers.get("x-forwarded-proto", request.url.scheme) == "https"
def generate_csrf_token() -> str:
"""Generate a secure random CSRF token."""
return secrets.token_urlsafe(CSRF_TOKEN_LENGTH)
def should_check_csrf(request: Request) -> bool:
"""Determine if a request needs CSRF validation.
CSRF is checked for state-changing methods (POST, PUT, DELETE, PATCH).
GET, HEAD, OPTIONS, and TRACE are exempt per RFC 7231.
"""
if request.method not in ("POST", "PUT", "DELETE", "PATCH"):
return False
path = request.url.path.rstrip("/")
# Exempt /api/v1/auth/me endpoint
if path == "/api/v1/auth/me":
return False
return True
_AUTH_EXEMPT_PATHS: frozenset[str] = frozenset(
{
"/api/v1/auth/login/local",
"/api/v1/auth/logout",
"/api/v1/auth/register",
}
)
def is_auth_endpoint(request: Request) -> bool:
"""Check if the request is to an auth endpoint.
Auth endpoints don't need CSRF validation on first call (no token).
"""
return request.url.path.rstrip("/") in _AUTH_EXEMPT_PATHS
class CSRFMiddleware(BaseHTTPMiddleware):
"""Middleware that implements CSRF protection using Double Submit Cookie pattern."""
def __init__(self, app: ASGIApp) -> None:
super().__init__(app)
async def dispatch(self, request: Request, call_next: Callable) -> Response:
_is_auth = is_auth_endpoint(request)
if should_check_csrf(request) and not _is_auth:
cookie_token = request.cookies.get(CSRF_COOKIE_NAME)
header_token = request.headers.get(CSRF_HEADER_NAME)
if not cookie_token or not header_token:
return JSONResponse(
status_code=403,
content={"detail": "CSRF token missing. Include X-CSRF-Token header."},
)
if not secrets.compare_digest(cookie_token, header_token):
return JSONResponse(
status_code=403,
content={"detail": "CSRF token mismatch."},
)
response = await call_next(request)
# For auth endpoints that set up session, also set CSRF cookie
if _is_auth and request.method == "POST":
# Generate a new CSRF token for the session
csrf_token = generate_csrf_token()
is_https = is_secure_request(request)
response.set_cookie(
key=CSRF_COOKIE_NAME,
value=csrf_token,
httponly=False, # Must be JS-readable for Double Submit Cookie pattern
secure=is_https,
samesite="strict",
)
return response
def get_csrf_token(request: Request) -> str | None:
"""Get the CSRF token from the current request's cookies.
This is useful for server-side rendering where you need to embed
token in forms or headers.
"""
return request.cookies.get(CSRF_COOKIE_NAME)
+180 -25
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@@ -1,7 +1,8 @@
"""Centralized accessors for singleton objects stored on ``app.state``.
**Getters** (used by routers): raise 503 when a required dependency is
missing, except ``get_store`` which returns ``None``.
missing, except ``get_store`` and ``get_thread_meta_repo`` which return
``None``.
Initialization is handled directly in ``app.py`` via :class:`AsyncExitStack`.
"""
@@ -10,10 +11,15 @@ from __future__ import annotations
from collections.abc import AsyncGenerator
from contextlib import AsyncExitStack, asynccontextmanager
from typing import TYPE_CHECKING
from fastapi import FastAPI, HTTPException, Request
from deerflow.runtime import RunManager, StreamBridge
from deerflow.runtime import RunContext, RunManager
if TYPE_CHECKING:
from app.gateway.auth.local_provider import LocalAuthProvider
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
@asynccontextmanager
@@ -26,45 +32,194 @@ async def langgraph_runtime(app: FastAPI) -> AsyncGenerator[None, None]:
yield
"""
from deerflow.agents.checkpointer.async_provider import make_checkpointer
from deerflow.config import get_app_config
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine_from_config
from deerflow.runtime import make_store, make_stream_bridge
from deerflow.runtime.events.store import make_run_event_store
async with AsyncExitStack() as stack:
app.state.stream_bridge = await stack.enter_async_context(make_stream_bridge())
# Initialize persistence engine BEFORE checkpointer so that
# auto-create-database logic runs first (postgres backend).
config = get_app_config()
await init_engine_from_config(config.database)
app.state.checkpointer = await stack.enter_async_context(make_checkpointer())
app.state.store = await stack.enter_async_context(make_store())
app.state.run_manager = RunManager()
yield
# Initialize repositories — one get_session_factory() call for all.
sf = get_session_factory()
if sf is not None:
from deerflow.persistence.feedback import FeedbackRepository
from deerflow.persistence.run import RunRepository
from deerflow.persistence.thread_meta import ThreadMetaRepository
app.state.run_store = RunRepository(sf)
app.state.feedback_repo = FeedbackRepository(sf)
app.state.thread_meta_repo = ThreadMetaRepository(sf)
else:
from deerflow.persistence.thread_meta import MemoryThreadMetaStore
from deerflow.runtime.runs.store.memory import MemoryRunStore
app.state.run_store = MemoryRunStore()
app.state.feedback_repo = None
app.state.thread_meta_repo = MemoryThreadMetaStore(app.state.store)
# Run event store (has its own factory with config-driven backend selection)
run_events_config = getattr(config, "run_events", None)
app.state.run_event_store = make_run_event_store(run_events_config)
# RunManager with store backing for persistence
app.state.run_manager = RunManager(store=app.state.run_store)
try:
yield
finally:
await close_engine()
# ---------------------------------------------------------------------------
# Getters called by routers per-request
# Getters -- called by routers per-request
# ---------------------------------------------------------------------------
def get_stream_bridge(request: Request) -> StreamBridge:
"""Return the global :class:`StreamBridge`, or 503."""
bridge = getattr(request.app.state, "stream_bridge", None)
if bridge is None:
raise HTTPException(status_code=503, detail="Stream bridge not available")
return bridge
def _require(attr: str, label: str):
"""Create a FastAPI dependency that returns ``app.state.<attr>`` or 503."""
def dep(request: Request):
val = getattr(request.app.state, attr, None)
if val is None:
raise HTTPException(status_code=503, detail=f"{label} not available")
return val
dep.__name__ = dep.__qualname__ = f"get_{attr}"
return dep
def get_run_manager(request: Request) -> RunManager:
"""Return the global :class:`RunManager`, or 503."""
mgr = getattr(request.app.state, "run_manager", None)
if mgr is None:
raise HTTPException(status_code=503, detail="Run manager not available")
return mgr
def get_checkpointer(request: Request):
"""Return the global checkpointer, or 503."""
cp = getattr(request.app.state, "checkpointer", None)
if cp is None:
raise HTTPException(status_code=503, detail="Checkpointer not available")
return cp
get_stream_bridge = _require("stream_bridge", "Stream bridge")
get_run_manager = _require("run_manager", "Run manager")
get_checkpointer = _require("checkpointer", "Checkpointer")
get_run_event_store = _require("run_event_store", "Run event store")
get_feedback_repo = _require("feedback_repo", "Feedback")
get_run_store = _require("run_store", "Run store")
def get_store(request: Request):
"""Return the global store (may be ``None`` if not configured)."""
return getattr(request.app.state, "store", None)
get_thread_meta_repo = _require("thread_meta_repo", "Thread metadata store")
def get_run_context(request: Request) -> RunContext:
"""Build a :class:`RunContext` from ``app.state`` singletons.
Returns a *base* context with infrastructure dependencies. Callers that
need per-run fields (e.g. ``follow_up_to_run_id``) should use
``dataclasses.replace(ctx, follow_up_to_run_id=...)`` before passing it
to :func:`run_agent`.
"""
from deerflow.config import get_app_config
return RunContext(
checkpointer=get_checkpointer(request),
store=get_store(request),
event_store=get_run_event_store(request),
run_events_config=getattr(get_app_config(), "run_events", None),
thread_meta_repo=get_thread_meta_repo(request),
)
# ---------------------------------------------------------------------------
# Auth helpers (used by authz.py and auth middleware)
# ---------------------------------------------------------------------------
# Cached singletons to avoid repeated instantiation per request
_cached_local_provider: LocalAuthProvider | None = None
_cached_repo: SQLiteUserRepository | None = None
def get_local_provider() -> LocalAuthProvider:
"""Get or create the cached LocalAuthProvider singleton.
Must be called after ``init_engine_from_config()`` — the shared
session factory is required to construct the user repository.
"""
global _cached_local_provider, _cached_repo
if _cached_repo is None:
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
from deerflow.persistence.engine import get_session_factory
sf = get_session_factory()
if sf is None:
raise RuntimeError("get_local_provider() called before init_engine_from_config(); cannot access users table")
_cached_repo = SQLiteUserRepository(sf)
if _cached_local_provider is None:
from app.gateway.auth.local_provider import LocalAuthProvider
_cached_local_provider = LocalAuthProvider(repository=_cached_repo)
return _cached_local_provider
async def get_current_user_from_request(request: Request):
"""Get the current authenticated user from the request cookie.
Raises HTTPException 401 if not authenticated.
"""
from app.gateway.auth import decode_token
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError, token_error_to_code
access_token = request.cookies.get("access_token")
if not access_token:
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=AuthErrorCode.NOT_AUTHENTICATED, message="Not authenticated").model_dump(),
)
payload = decode_token(access_token)
if isinstance(payload, TokenError):
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=token_error_to_code(payload), message=f"Token error: {payload.value}").model_dump(),
)
provider = get_local_provider()
user = await provider.get_user(payload.sub)
if user is None:
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=AuthErrorCode.USER_NOT_FOUND, message="User not found").model_dump(),
)
# Token version mismatch → password was changed, token is stale
if user.token_version != payload.ver:
raise HTTPException(
status_code=401,
detail=AuthErrorResponse(code=AuthErrorCode.TOKEN_INVALID, message="Token revoked (password changed)").model_dump(),
)
return user
async def get_optional_user_from_request(request: Request):
"""Get optional authenticated user from request.
Returns None if not authenticated.
"""
try:
return await get_current_user_from_request(request)
except HTTPException:
return None
async def get_current_user(request: Request) -> str | None:
"""Extract user_id from request cookie, or None if not authenticated.
Thin adapter that returns the string id for callers that only need
identification (e.g., ``feedback.py``). Full-user callers should use
``get_current_user_from_request`` or ``get_optional_user_from_request``.
"""
user = await get_optional_user_from_request(request)
return str(user.id) if user else None
+106
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@@ -0,0 +1,106 @@
"""LangGraph Server auth handler — shares JWT logic with Gateway.
Loaded by LangGraph Server via langgraph.json ``auth.path``.
Reuses the same ``decode_token`` / ``get_auth_config`` as Gateway,
so both modes validate tokens with the same secret and rules.
Two layers:
1. @auth.authenticate — validates JWT cookie, extracts user_id,
and enforces CSRF on state-changing methods (POST/PUT/DELETE/PATCH)
2. @auth.on — returns metadata filter so each user only sees own threads
"""
import secrets
from langgraph_sdk import Auth
from app.gateway.auth.errors import TokenError
from app.gateway.auth.jwt import decode_token
from app.gateway.deps import get_local_provider
auth = Auth()
# Methods that require CSRF validation (state-changing per RFC 7231).
_CSRF_METHODS = frozenset({"POST", "PUT", "DELETE", "PATCH"})
def _check_csrf(request) -> None:
"""Enforce Double Submit Cookie CSRF check for state-changing requests.
Mirrors Gateway's CSRFMiddleware logic so that LangGraph routes
proxied directly by nginx have the same CSRF protection.
"""
method = getattr(request, "method", "") or ""
if method.upper() not in _CSRF_METHODS:
return
cookie_token = request.cookies.get("csrf_token")
header_token = request.headers.get("x-csrf-token")
if not cookie_token or not header_token:
raise Auth.exceptions.HTTPException(
status_code=403,
detail="CSRF token missing. Include X-CSRF-Token header.",
)
if not secrets.compare_digest(cookie_token, header_token):
raise Auth.exceptions.HTTPException(
status_code=403,
detail="CSRF token mismatch.",
)
@auth.authenticate
async def authenticate(request):
"""Validate the session cookie, decode JWT, and check token_version.
Same validation chain as Gateway's get_current_user_from_request:
cookie → decode JWT → DB lookup → token_version match
Also enforces CSRF on state-changing methods.
"""
# CSRF check before authentication so forged cross-site requests
# are rejected early, even if the cookie carries a valid JWT.
_check_csrf(request)
token = request.cookies.get("access_token")
if not token:
raise Auth.exceptions.HTTPException(
status_code=401,
detail="Not authenticated",
)
payload = decode_token(token)
if isinstance(payload, TokenError):
raise Auth.exceptions.HTTPException(
status_code=401,
detail=f"Token error: {payload.value}",
)
user = await get_local_provider().get_user(payload.sub)
if user is None:
raise Auth.exceptions.HTTPException(
status_code=401,
detail="User not found",
)
if user.token_version != payload.ver:
raise Auth.exceptions.HTTPException(
status_code=401,
detail="Token revoked (password changed)",
)
return payload.sub
@auth.on
async def add_owner_filter(ctx: Auth.types.AuthContext, value: dict):
"""Inject owner_id metadata on writes; filter by owner_id on reads.
Gateway stores thread ownership as ``metadata.owner_id``.
This handler ensures LangGraph Server enforces the same isolation.
"""
# On create/update: stamp owner_id into metadata
metadata = value.setdefault("metadata", {})
metadata["owner_id"] = ctx.user.identity
# Return filter dict — LangGraph applies it to search/read/delete
return {"owner_id": ctx.user.identity}
+2
View File
@@ -7,6 +7,7 @@ from urllib.parse import quote
from fastapi import APIRouter, HTTPException, Request
from fastapi.responses import FileResponse, PlainTextResponse, Response
from app.gateway.authz import require_permission
from app.gateway.path_utils import resolve_thread_virtual_path
logger = logging.getLogger(__name__)
@@ -81,6 +82,7 @@ def _extract_file_from_skill_archive(zip_path: Path, internal_path: str) -> byte
summary="Get Artifact File",
description="Retrieve an artifact file generated by the AI agent. Text and binary files can be viewed inline, while active web content is always downloaded.",
)
@require_permission("threads", "read", owner_check=True)
async def get_artifact(thread_id: str, path: str, request: Request, download: bool = False) -> Response:
"""Get an artifact file by its path.
+418
View File
@@ -0,0 +1,418 @@
"""Authentication endpoints."""
import logging
import os
import time
from ipaddress import ip_address, ip_network
from fastapi import APIRouter, Depends, HTTPException, Request, Response, status
from fastapi.security import OAuth2PasswordRequestForm
from pydantic import BaseModel, EmailStr, Field, field_validator
from app.gateway.auth import (
UserResponse,
create_access_token,
)
from app.gateway.auth.config import get_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse
from app.gateway.csrf_middleware import is_secure_request
from app.gateway.deps import get_current_user_from_request, get_local_provider
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1/auth", tags=["auth"])
# ── Request/Response Models ──────────────────────────────────────────────
class LoginResponse(BaseModel):
"""Response model for login — token only lives in HttpOnly cookie."""
expires_in: int # seconds
needs_setup: bool = False
# Top common-password blocklist. Drawn from the public SecLists "10k worst
# passwords" set, lowercased + length>=8 only (shorter ones already fail
# the min_length check). Kept tight on purpose: this is the **lower bound**
# defense, not a full HIBP / passlib check, and runs in-process per request.
_COMMON_PASSWORDS: frozenset[str] = frozenset(
{
"password",
"password1",
"password12",
"password123",
"password1234",
"12345678",
"123456789",
"1234567890",
"qwerty12",
"qwertyui",
"qwerty123",
"abc12345",
"abcd1234",
"iloveyou",
"letmein1",
"welcome1",
"welcome123",
"admin123",
"administrator",
"passw0rd",
"p@ssw0rd",
"monkey12",
"trustno1",
"sunshine",
"princess",
"football",
"baseball",
"superman",
"batman123",
"starwars",
"dragon123",
"master123",
"shadow12",
"michael1",
"jennifer",
"computer",
}
)
def _password_is_common(password: str) -> bool:
"""Case-insensitive blocklist check.
Lowercases the input so trivial mutations like ``Password`` /
``PASSWORD`` are also rejected. Does not normalize digit substitutions
(``p@ssw0rd`` is included as a literal entry instead) — keeping the
rule cheap and predictable.
"""
return password.lower() in _COMMON_PASSWORDS
def _validate_strong_password(value: str) -> str:
"""Pydantic field-validator body shared by Register + ChangePassword.
Constraint = function, not type-level mixin. The two request models
have no "is-a" relationship; they only share the password-strength
rule. Lifting it into a free function lets each model bind it via
``@field_validator(field_name)`` without inheritance gymnastics.
"""
if _password_is_common(value):
raise ValueError("Password is too common; choose a stronger password.")
return value
class RegisterRequest(BaseModel):
"""Request model for user registration."""
email: EmailStr
password: str = Field(..., min_length=8)
_strong_password = field_validator("password")(classmethod(lambda cls, v: _validate_strong_password(v)))
class ChangePasswordRequest(BaseModel):
"""Request model for password change (also handles setup flow)."""
current_password: str
new_password: str = Field(..., min_length=8)
new_email: EmailStr | None = None
_strong_password = field_validator("new_password")(classmethod(lambda cls, v: _validate_strong_password(v)))
class MessageResponse(BaseModel):
"""Generic message response."""
message: str
# ── Helpers ───────────────────────────────────────────────────────────────
def _set_session_cookie(response: Response, token: str, request: Request) -> None:
"""Set the access_token HttpOnly cookie on the response."""
config = get_auth_config()
is_https = is_secure_request(request)
response.set_cookie(
key="access_token",
value=token,
httponly=True,
secure=is_https,
samesite="lax",
max_age=config.token_expiry_days * 24 * 3600 if is_https else None,
)
# ── Rate Limiting ────────────────────────────────────────────────────────
# In-process dict — not shared across workers. Sufficient for single-worker deployments.
_MAX_LOGIN_ATTEMPTS = 5
_LOCKOUT_SECONDS = 300 # 5 minutes
# ip → (fail_count, lock_until_timestamp)
_login_attempts: dict[str, tuple[int, float]] = {}
def _trusted_proxies() -> list:
"""Parse ``AUTH_TRUSTED_PROXIES`` env var into a list of ip_network objects.
Comma-separated CIDR or single-IP entries. Empty / unset = no proxy is
trusted (direct mode). Invalid entries are skipped with a logger warning.
Read live so env-var overrides take effect immediately and tests can
``monkeypatch.setenv`` without poking a module-level cache.
"""
raw = os.getenv("AUTH_TRUSTED_PROXIES", "").strip()
if not raw:
return []
nets = []
for entry in raw.split(","):
entry = entry.strip()
if not entry:
continue
try:
nets.append(ip_network(entry, strict=False))
except ValueError:
logger.warning("AUTH_TRUSTED_PROXIES: ignoring invalid entry %r", entry)
return nets
def _get_client_ip(request: Request) -> str:
"""Extract the real client IP for rate limiting.
Trust model:
- The TCP peer (``request.client.host``) is always the baseline. It is
whatever the kernel reports as the connecting socket — unforgeable
by the client itself.
- ``X-Real-IP`` is **only** honored if the TCP peer is in the
``AUTH_TRUSTED_PROXIES`` allowlist (set via env var, comma-separated
CIDR or single IPs). When set, the gateway is assumed to be behind a
reverse proxy (nginx, Cloudflare, ALB, …) that overwrites
``X-Real-IP`` with the original client address.
- With no ``AUTH_TRUSTED_PROXIES`` set, ``X-Real-IP`` is silently
ignored — closing the bypass where any client could rotate the
header to dodge per-IP rate limits in dev / direct-gateway mode.
``X-Forwarded-For`` is intentionally NOT used because it is naturally
client-controlled at the *first* hop and the trust chain is harder to
audit per-request.
"""
peer_host = request.client.host if request.client else None
trusted = _trusted_proxies()
if trusted and peer_host:
try:
peer_ip = ip_address(peer_host)
if any(peer_ip in net for net in trusted):
real_ip = request.headers.get("x-real-ip", "").strip()
if real_ip:
return real_ip
except ValueError:
# peer_host wasn't a parseable IP (e.g. "unknown") — fall through
pass
return peer_host or "unknown"
def _check_rate_limit(ip: str) -> None:
"""Raise 429 if the IP is currently locked out."""
record = _login_attempts.get(ip)
if record is None:
return
fail_count, lock_until = record
if fail_count >= _MAX_LOGIN_ATTEMPTS:
if time.time() < lock_until:
raise HTTPException(
status_code=429,
detail="Too many login attempts. Try again later.",
)
del _login_attempts[ip]
_MAX_TRACKED_IPS = 10000
def _record_login_failure(ip: str) -> None:
"""Record a failed login attempt for the given IP."""
# Evict expired lockouts when dict grows too large
if len(_login_attempts) >= _MAX_TRACKED_IPS:
now = time.time()
expired = [k for k, (c, t) in _login_attempts.items() if c >= _MAX_LOGIN_ATTEMPTS and now >= t]
for k in expired:
del _login_attempts[k]
# If still too large, evict cheapest-to-lose half: below-threshold
# IPs (lock_until=0.0) sort first, then earliest-expiring lockouts.
if len(_login_attempts) >= _MAX_TRACKED_IPS:
by_time = sorted(_login_attempts.items(), key=lambda kv: kv[1][1])
for k, _ in by_time[: len(by_time) // 2]:
del _login_attempts[k]
record = _login_attempts.get(ip)
if record is None:
_login_attempts[ip] = (1, 0.0)
else:
new_count = record[0] + 1
lock_until = time.time() + _LOCKOUT_SECONDS if new_count >= _MAX_LOGIN_ATTEMPTS else 0.0
_login_attempts[ip] = (new_count, lock_until)
def _record_login_success(ip: str) -> None:
"""Clear failure counter for the given IP on successful login."""
_login_attempts.pop(ip, None)
# ── Endpoints ─────────────────────────────────────────────────────────────
@router.post("/login/local", response_model=LoginResponse)
async def login_local(
request: Request,
response: Response,
form_data: OAuth2PasswordRequestForm = Depends(),
):
"""Local email/password login."""
client_ip = _get_client_ip(request)
_check_rate_limit(client_ip)
user = await get_local_provider().authenticate({"email": form_data.username, "password": form_data.password})
if user is None:
_record_login_failure(client_ip)
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail=AuthErrorResponse(code=AuthErrorCode.INVALID_CREDENTIALS, message="Incorrect email or password").model_dump(),
)
_record_login_success(client_ip)
token = create_access_token(str(user.id), token_version=user.token_version)
_set_session_cookie(response, token, request)
return LoginResponse(
expires_in=get_auth_config().token_expiry_days * 24 * 3600,
needs_setup=user.needs_setup,
)
@router.post("/register", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def register(request: Request, response: Response, body: RegisterRequest):
"""Register a new user account (always 'user' role).
Admin is auto-created on first boot. This endpoint creates regular users.
Auto-login by setting the session cookie.
"""
try:
user = await get_local_provider().create_user(email=body.email, password=body.password, system_role="user")
except ValueError:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=AuthErrorResponse(code=AuthErrorCode.EMAIL_ALREADY_EXISTS, message="Email already registered").model_dump(),
)
token = create_access_token(str(user.id), token_version=user.token_version)
_set_session_cookie(response, token, request)
return UserResponse(id=str(user.id), email=user.email, system_role=user.system_role)
@router.post("/logout", response_model=MessageResponse)
async def logout(request: Request, response: Response):
"""Logout current user by clearing the cookie."""
response.delete_cookie(key="access_token", secure=is_secure_request(request), samesite="lax")
return MessageResponse(message="Successfully logged out")
@router.post("/change-password", response_model=MessageResponse)
async def change_password(request: Request, response: Response, body: ChangePasswordRequest):
"""Change password for the currently authenticated user.
Also handles the first-boot setup flow:
- If new_email is provided, updates email (checks uniqueness)
- If user.needs_setup is True and new_email is given, clears needs_setup
- Always increments token_version to invalidate old sessions
- Re-issues session cookie with new token_version
"""
from app.gateway.auth.password import hash_password_async, verify_password_async
user = await get_current_user_from_request(request)
if user.password_hash is None:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=AuthErrorResponse(code=AuthErrorCode.INVALID_CREDENTIALS, message="OAuth users cannot change password").model_dump())
if not await verify_password_async(body.current_password, user.password_hash):
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=AuthErrorResponse(code=AuthErrorCode.INVALID_CREDENTIALS, message="Current password is incorrect").model_dump())
provider = get_local_provider()
# Update email if provided
if body.new_email is not None:
existing = await provider.get_user_by_email(body.new_email)
if existing and str(existing.id) != str(user.id):
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=AuthErrorResponse(code=AuthErrorCode.EMAIL_ALREADY_EXISTS, message="Email already in use").model_dump())
user.email = body.new_email
# Update password + bump version
user.password_hash = await hash_password_async(body.new_password)
user.token_version += 1
# Clear setup flag if this is the setup flow
if user.needs_setup and body.new_email is not None:
user.needs_setup = False
await provider.update_user(user)
# Re-issue cookie with new token_version
token = create_access_token(str(user.id), token_version=user.token_version)
_set_session_cookie(response, token, request)
return MessageResponse(message="Password changed successfully")
@router.get("/me", response_model=UserResponse)
async def get_me(request: Request):
"""Get current authenticated user info."""
user = await get_current_user_from_request(request)
return UserResponse(id=str(user.id), email=user.email, system_role=user.system_role, needs_setup=user.needs_setup)
@router.get("/setup-status")
async def setup_status():
"""Check if admin account exists. Always False after first boot."""
user_count = await get_local_provider().count_users()
return {"needs_setup": user_count == 0}
# ── OAuth Endpoints (Future/Placeholder) ─────────────────────────────────
@router.get("/oauth/{provider}")
async def oauth_login(provider: str):
"""Initiate OAuth login flow.
Redirects to the OAuth provider's authorization URL.
Currently a placeholder - requires OAuth provider implementation.
"""
if provider not in ["github", "google"]:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Unsupported OAuth provider: {provider}",
)
raise HTTPException(
status_code=status.HTTP_501_NOT_IMPLEMENTED,
detail="OAuth login not yet implemented",
)
@router.get("/callback/{provider}")
async def oauth_callback(provider: str, code: str, state: str):
"""OAuth callback endpoint.
Handles the OAuth provider's callback after user authorization.
Currently a placeholder.
"""
raise HTTPException(
status_code=status.HTTP_501_NOT_IMPLEMENTED,
detail="OAuth callback not yet implemented",
)
+132
View File
@@ -0,0 +1,132 @@
"""Feedback endpoints — create, list, stats, delete.
Allows users to submit thumbs-up/down feedback on runs,
optionally scoped to a specific message.
"""
from __future__ import annotations
import logging
from typing import Any
from fastapi import APIRouter, HTTPException, Request
from pydantic import BaseModel, Field
from app.gateway.authz import require_permission
from app.gateway.deps import get_current_user, get_feedback_repo, get_run_store
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/threads", tags=["feedback"])
# ---------------------------------------------------------------------------
# Request / response models
# ---------------------------------------------------------------------------
class FeedbackCreateRequest(BaseModel):
rating: int = Field(..., description="Feedback rating: +1 (positive) or -1 (negative)")
comment: str | None = Field(default=None, description="Optional text feedback")
message_id: str | None = Field(default=None, description="Optional: scope feedback to a specific message")
class FeedbackResponse(BaseModel):
feedback_id: str
run_id: str
thread_id: str
owner_id: str | None = None
message_id: str | None = None
rating: int
comment: str | None = None
created_at: str = ""
class FeedbackStatsResponse(BaseModel):
run_id: str
total: int = 0
positive: int = 0
negative: int = 0
# ---------------------------------------------------------------------------
# Endpoints
# ---------------------------------------------------------------------------
@router.post("/{thread_id}/runs/{run_id}/feedback", response_model=FeedbackResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def create_feedback(
thread_id: str,
run_id: str,
body: FeedbackCreateRequest,
request: Request,
) -> dict[str, Any]:
"""Submit feedback (thumbs-up/down) for a run."""
if body.rating not in (1, -1):
raise HTTPException(status_code=400, detail="rating must be +1 or -1")
user_id = await get_current_user(request)
# Validate run exists and belongs to thread
run_store = get_run_store(request)
run = await run_store.get(run_id)
if run is None:
raise HTTPException(status_code=404, detail=f"Run {run_id} not found")
if run.get("thread_id") != thread_id:
raise HTTPException(status_code=404, detail=f"Run {run_id} not found in thread {thread_id}")
feedback_repo = get_feedback_repo(request)
return await feedback_repo.create(
run_id=run_id,
thread_id=thread_id,
rating=body.rating,
owner_id=user_id,
message_id=body.message_id,
comment=body.comment,
)
@router.get("/{thread_id}/runs/{run_id}/feedback", response_model=list[FeedbackResponse])
@require_permission("threads", "read", owner_check=True)
async def list_feedback(
thread_id: str,
run_id: str,
request: Request,
) -> list[dict[str, Any]]:
"""List all feedback for a run."""
feedback_repo = get_feedback_repo(request)
return await feedback_repo.list_by_run(thread_id, run_id)
@router.get("/{thread_id}/runs/{run_id}/feedback/stats", response_model=FeedbackStatsResponse)
@require_permission("threads", "read", owner_check=True)
async def feedback_stats(
thread_id: str,
run_id: str,
request: Request,
) -> dict[str, Any]:
"""Get aggregated feedback stats (positive/negative counts) for a run."""
feedback_repo = get_feedback_repo(request)
return await feedback_repo.aggregate_by_run(thread_id, run_id)
@router.delete("/{thread_id}/runs/{run_id}/feedback/{feedback_id}")
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_feedback(
thread_id: str,
run_id: str,
feedback_id: str,
request: Request,
) -> dict[str, bool]:
"""Delete a feedback record."""
feedback_repo = get_feedback_repo(request)
# Verify feedback belongs to the specified thread/run before deleting
existing = await feedback_repo.get(feedback_id)
if existing is None:
raise HTTPException(status_code=404, detail=f"Feedback {feedback_id} not found")
if existing.get("thread_id") != thread_id or existing.get("run_id") != run_id:
raise HTTPException(status_code=404, detail=f"Feedback {feedback_id} not found in run {run_id}")
deleted = await feedback_repo.delete(feedback_id)
if not deleted:
raise HTTPException(status_code=404, detail=f"Feedback {feedback_id} not found")
return {"success": True}
+8 -6
View File
@@ -1,10 +1,11 @@
import json
import logging
from fastapi import APIRouter
from fastapi import APIRouter, Request
from langchain_core.messages import HumanMessage, SystemMessage
from pydantic import BaseModel, Field
from app.gateway.authz import require_permission
from deerflow.models import create_chat_model
logger = logging.getLogger(__name__)
@@ -98,12 +99,13 @@ def _format_conversation(messages: list[SuggestionMessage]) -> str:
summary="Generate Follow-up Questions",
description="Generate short follow-up questions a user might ask next, based on recent conversation context.",
)
async def generate_suggestions(thread_id: str, request: SuggestionsRequest) -> SuggestionsResponse:
if not request.messages:
@require_permission("threads", "read", owner_check=True)
async def generate_suggestions(thread_id: str, body: SuggestionsRequest, request: Request) -> SuggestionsResponse:
if not body.messages:
return SuggestionsResponse(suggestions=[])
n = request.n
conversation = _format_conversation(request.messages)
n = body.n
conversation = _format_conversation(body.messages)
if not conversation:
return SuggestionsResponse(suggestions=[])
@@ -120,7 +122,7 @@ async def generate_suggestions(thread_id: str, request: SuggestionsRequest) -> S
user_content = f"Conversation Context:\n{conversation}\n\nGenerate {n} follow-up questions"
try:
model = create_chat_model(name=request.model_name, thinking_enabled=False)
model = create_chat_model(name=body.model_name, thinking_enabled=False)
response = await model.ainvoke([SystemMessage(content=system_instruction), HumanMessage(content=user_content)])
raw = _extract_response_text(response.content)
suggestions = _parse_json_string_list(raw) or []
+62 -1
View File
@@ -19,7 +19,8 @@ from fastapi import APIRouter, HTTPException, Query, Request
from fastapi.responses import Response, StreamingResponse
from pydantic import BaseModel, Field
from app.gateway.deps import get_checkpointer, get_run_manager, get_stream_bridge
from app.gateway.authz import require_permission
from app.gateway.deps import get_checkpointer, get_run_event_store, get_run_manager, get_run_store, get_stream_bridge
from app.gateway.services import sse_consumer, start_run
from deerflow.runtime import RunRecord, serialize_channel_values
@@ -53,6 +54,7 @@ class RunCreateRequest(BaseModel):
after_seconds: float | None = Field(default=None, description="Delayed execution")
if_not_exists: Literal["reject", "create"] = Field(default="create", description="Thread creation policy")
feedback_keys: list[str] | None = Field(default=None, description="LangSmith feedback keys")
follow_up_to_run_id: str | None = Field(default=None, description="Run ID this message follows up on. Auto-detected from latest successful run if not provided.")
class RunResponse(BaseModel):
@@ -92,6 +94,7 @@ def _record_to_response(record: RunRecord) -> RunResponse:
@router.post("/{thread_id}/runs", response_model=RunResponse)
@require_permission("runs", "create", owner_check=True, require_existing=True)
async def create_run(thread_id: str, body: RunCreateRequest, request: Request) -> RunResponse:
"""Create a background run (returns immediately)."""
record = await start_run(body, thread_id, request)
@@ -99,6 +102,7 @@ async def create_run(thread_id: str, body: RunCreateRequest, request: Request) -
@router.post("/{thread_id}/runs/stream")
@require_permission("runs", "create", owner_check=True, require_existing=True)
async def stream_run(thread_id: str, body: RunCreateRequest, request: Request) -> StreamingResponse:
"""Create a run and stream events via SSE.
@@ -126,6 +130,7 @@ async def stream_run(thread_id: str, body: RunCreateRequest, request: Request) -
@router.post("/{thread_id}/runs/wait", response_model=dict)
@require_permission("runs", "create", owner_check=True, require_existing=True)
async def wait_run(thread_id: str, body: RunCreateRequest, request: Request) -> dict:
"""Create a run and block until it completes, returning the final state."""
record = await start_run(body, thread_id, request)
@@ -151,6 +156,7 @@ async def wait_run(thread_id: str, body: RunCreateRequest, request: Request) ->
@router.get("/{thread_id}/runs", response_model=list[RunResponse])
@require_permission("runs", "read", owner_check=True)
async def list_runs(thread_id: str, request: Request) -> list[RunResponse]:
"""List all runs for a thread."""
run_mgr = get_run_manager(request)
@@ -159,6 +165,7 @@ async def list_runs(thread_id: str, request: Request) -> list[RunResponse]:
@router.get("/{thread_id}/runs/{run_id}", response_model=RunResponse)
@require_permission("runs", "read", owner_check=True)
async def get_run(thread_id: str, run_id: str, request: Request) -> RunResponse:
"""Get details of a specific run."""
run_mgr = get_run_manager(request)
@@ -169,6 +176,7 @@ async def get_run(thread_id: str, run_id: str, request: Request) -> RunResponse:
@router.post("/{thread_id}/runs/{run_id}/cancel")
@require_permission("runs", "cancel", owner_check=True, require_existing=True)
async def cancel_run(
thread_id: str,
run_id: str,
@@ -206,6 +214,7 @@ async def cancel_run(
@router.get("/{thread_id}/runs/{run_id}/join")
@require_permission("runs", "read", owner_check=True)
async def join_run(thread_id: str, run_id: str, request: Request) -> StreamingResponse:
"""Join an existing run's SSE stream."""
bridge = get_stream_bridge(request)
@@ -226,6 +235,7 @@ async def join_run(thread_id: str, run_id: str, request: Request) -> StreamingRe
@router.api_route("/{thread_id}/runs/{run_id}/stream", methods=["GET", "POST"], response_model=None)
@require_permission("runs", "read", owner_check=True)
async def stream_existing_run(
thread_id: str,
run_id: str,
@@ -265,3 +275,54 @@ async def stream_existing_run(
"X-Accel-Buffering": "no",
},
)
# ---------------------------------------------------------------------------
# Messages / Events / Token usage endpoints
# ---------------------------------------------------------------------------
@router.get("/{thread_id}/messages")
@require_permission("runs", "read", owner_check=True)
async def list_thread_messages(
thread_id: str,
request: Request,
limit: int = Query(default=50, le=200),
before_seq: int | None = Query(default=None),
after_seq: int | None = Query(default=None),
) -> list[dict]:
"""Return displayable messages for a thread (across all runs)."""
event_store = get_run_event_store(request)
return await event_store.list_messages(thread_id, limit=limit, before_seq=before_seq, after_seq=after_seq)
@router.get("/{thread_id}/runs/{run_id}/messages")
@require_permission("runs", "read", owner_check=True)
async def list_run_messages(thread_id: str, run_id: str, request: Request) -> list[dict]:
"""Return displayable messages for a specific run."""
event_store = get_run_event_store(request)
return await event_store.list_messages_by_run(thread_id, run_id)
@router.get("/{thread_id}/runs/{run_id}/events")
@require_permission("runs", "read", owner_check=True)
async def list_run_events(
thread_id: str,
run_id: str,
request: Request,
event_types: str | None = Query(default=None),
limit: int = Query(default=500, le=2000),
) -> list[dict]:
"""Return the full event stream for a run (debug/audit)."""
event_store = get_run_event_store(request)
types = event_types.split(",") if event_types else None
return await event_store.list_events(thread_id, run_id, event_types=types, limit=limit)
@router.get("/{thread_id}/token-usage")
@require_permission("threads", "read", owner_check=True)
async def thread_token_usage(thread_id: str, request: Request) -> dict:
"""Thread-level token usage aggregation."""
run_store = get_run_store(request)
agg = await run_store.aggregate_tokens_by_thread(thread_id)
return {"thread_id": thread_id, **agg}
+171 -237
View File
@@ -18,23 +18,34 @@ import uuid
from typing import Any
from fastapi import APIRouter, HTTPException, Request
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, field_validator
from app.gateway.deps import get_checkpointer, get_store
from app.gateway.authz import require_permission
from app.gateway.deps import get_checkpointer
from app.gateway.utils import sanitize_log_param
from deerflow.config.paths import Paths, get_paths
from deerflow.runtime import serialize_channel_values
# ---------------------------------------------------------------------------
# Store namespace
# ---------------------------------------------------------------------------
THREADS_NS: tuple[str, ...] = ("threads",)
"""Namespace used by the Store for thread metadata records."""
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/threads", tags=["threads"])
# Metadata keys that the server controls; clients are not allowed to set
# them. Pydantic ``@field_validator("metadata")`` strips them on every
# inbound model below so a malicious client cannot reflect a forged
# owner identity through the API surface. Defense-in-depth — the
# row-level invariant is still ``threads_meta.owner_id`` populated from
# the auth contextvar; this list closes the metadata-blob echo gap.
_SERVER_RESERVED_METADATA_KEYS: frozenset[str] = frozenset({"owner_id", "user_id"})
def _strip_reserved_metadata(metadata: dict[str, Any] | None) -> dict[str, Any]:
"""Return ``metadata`` with server-controlled keys removed."""
if not metadata:
return metadata or {}
return {k: v for k, v in metadata.items() if k not in _SERVER_RESERVED_METADATA_KEYS}
# ---------------------------------------------------------------------------
# Response / request models
# ---------------------------------------------------------------------------
@@ -63,8 +74,11 @@ class ThreadCreateRequest(BaseModel):
"""Request body for creating a thread."""
thread_id: str | None = Field(default=None, description="Optional thread ID (auto-generated if omitted)")
assistant_id: str | None = Field(default=None, description="Associate thread with an assistant")
metadata: dict[str, Any] = Field(default_factory=dict, description="Initial metadata")
_strip_reserved = field_validator("metadata")(classmethod(lambda cls, v: _strip_reserved_metadata(v)))
class ThreadSearchRequest(BaseModel):
"""Request body for searching threads."""
@@ -93,6 +107,8 @@ class ThreadPatchRequest(BaseModel):
metadata: dict[str, Any] = Field(default_factory=dict, description="Metadata to merge")
_strip_reserved = field_validator("metadata")(classmethod(lambda cls, v: _strip_reserved_metadata(v)))
class ThreadStateUpdateRequest(BaseModel):
"""Request body for updating thread state (human-in-the-loop resume)."""
@@ -135,61 +151,16 @@ def _delete_thread_data(thread_id: str, paths: Paths | None = None) -> ThreadDel
raise HTTPException(status_code=422, detail=str(exc)) from exc
except FileNotFoundError:
# Not critical — thread data may not exist on disk
logger.debug("No local thread data to delete for %s", thread_id)
logger.debug("No local thread data to delete for %s", sanitize_log_param(thread_id))
return ThreadDeleteResponse(success=True, message=f"No local data for {thread_id}")
except Exception as exc:
logger.exception("Failed to delete thread data for %s", thread_id)
logger.exception("Failed to delete thread data for %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to delete local thread data.") from exc
logger.info("Deleted local thread data for %s", thread_id)
logger.info("Deleted local thread data for %s", sanitize_log_param(thread_id))
return ThreadDeleteResponse(success=True, message=f"Deleted local thread data for {thread_id}")
async def _store_get(store, thread_id: str) -> dict | None:
"""Fetch a thread record from the Store; returns ``None`` if absent."""
item = await store.aget(THREADS_NS, thread_id)
return item.value if item is not None else None
async def _store_put(store, record: dict) -> None:
"""Write a thread record to the Store."""
await store.aput(THREADS_NS, record["thread_id"], record)
async def _store_upsert(store, thread_id: str, *, metadata: dict | None = None, values: dict | None = None) -> None:
"""Create or refresh a thread record in the Store.
On creation the record is written with ``status="idle"``. On update only
``updated_at`` (and optionally ``metadata`` / ``values``) are changed so
that existing fields are preserved.
``values`` carries the agent-state snapshot exposed to the frontend
(currently just ``{"title": "..."}``).
"""
now = time.time()
existing = await _store_get(store, thread_id)
if existing is None:
await _store_put(
store,
{
"thread_id": thread_id,
"status": "idle",
"created_at": now,
"updated_at": now,
"metadata": metadata or {},
"values": values or {},
},
)
else:
val = dict(existing)
val["updated_at"] = now
if metadata:
val.setdefault("metadata", {}).update(metadata)
if values:
val.setdefault("values", {}).update(values)
await _store_put(store, val)
def _derive_thread_status(checkpoint_tuple) -> str:
"""Derive thread status from checkpoint metadata."""
if checkpoint_tuple is None:
@@ -215,23 +186,19 @@ def _derive_thread_status(checkpoint_tuple) -> str:
@router.delete("/{thread_id}", response_model=ThreadDeleteResponse)
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_thread_data(thread_id: str, request: Request) -> ThreadDeleteResponse:
"""Delete local persisted filesystem data for a thread.
Cleans DeerFlow-managed thread directories, removes checkpoint data,
and removes the thread record from the Store.
and removes the thread_meta row from the configured ThreadMetaStore
(sqlite or memory).
"""
from app.gateway.deps import get_thread_meta_repo
# Clean local filesystem
response = _delete_thread_data(thread_id)
# Remove from Store (best-effort)
store = get_store(request)
if store is not None:
try:
await store.adelete(THREADS_NS, thread_id)
except Exception:
logger.debug("Could not delete store record for thread %s (not critical)", thread_id)
# Remove checkpoints (best-effort)
checkpointer = getattr(request.app.state, "checkpointer", None)
if checkpointer is not None:
@@ -239,7 +206,15 @@ async def delete_thread_data(thread_id: str, request: Request) -> ThreadDeleteRe
if hasattr(checkpointer, "adelete_thread"):
await checkpointer.adelete_thread(thread_id)
except Exception:
logger.debug("Could not delete checkpoints for thread %s (not critical)", thread_id)
logger.debug("Could not delete checkpoints for thread %s (not critical)", sanitize_log_param(thread_id))
# Remove thread_meta row (best-effort) — required for sqlite backend
# so the deleted thread no longer appears in /threads/search.
try:
thread_meta_repo = get_thread_meta_repo(request)
await thread_meta_repo.delete(thread_id)
except Exception:
logger.debug("Could not delete thread_meta for %s (not critical)", sanitize_log_param(thread_id))
return response
@@ -248,43 +223,40 @@ async def delete_thread_data(thread_id: str, request: Request) -> ThreadDeleteRe
async def create_thread(body: ThreadCreateRequest, request: Request) -> ThreadResponse:
"""Create a new thread.
The thread record is written to the Store (for fast listing) and an
empty checkpoint is written to the checkpointer (for state reads).
Writes a thread_meta record (so the thread appears in /threads/search)
and an empty checkpoint (so state endpoints work immediately).
Idempotent: returns the existing record when ``thread_id`` already exists.
"""
store = get_store(request)
from app.gateway.deps import get_thread_meta_repo
checkpointer = get_checkpointer(request)
thread_meta_repo = get_thread_meta_repo(request)
thread_id = body.thread_id or str(uuid.uuid4())
now = time.time()
# ``body.metadata`` is already stripped of server-reserved keys by
# ``ThreadCreateRequest._strip_reserved`` — see the model definition.
# Idempotency: return existing record from Store when already present
if store is not None:
existing_record = await _store_get(store, thread_id)
if existing_record is not None:
return ThreadResponse(
thread_id=thread_id,
status=existing_record.get("status", "idle"),
created_at=str(existing_record.get("created_at", "")),
updated_at=str(existing_record.get("updated_at", "")),
metadata=existing_record.get("metadata", {}),
)
# Idempotency: return existing record when already present
existing_record = await thread_meta_repo.get(thread_id)
if existing_record is not None:
return ThreadResponse(
thread_id=thread_id,
status=existing_record.get("status", "idle"),
created_at=str(existing_record.get("created_at", "")),
updated_at=str(existing_record.get("updated_at", "")),
metadata=existing_record.get("metadata", {}),
)
# Write thread record to Store
if store is not None:
try:
await _store_put(
store,
{
"thread_id": thread_id,
"status": "idle",
"created_at": now,
"updated_at": now,
"metadata": body.metadata,
},
)
except Exception:
logger.exception("Failed to write thread %s to store", thread_id)
raise HTTPException(status_code=500, detail="Failed to create thread")
# Write thread_meta so the thread appears in /threads/search immediately
try:
await thread_meta_repo.create(
thread_id,
assistant_id=getattr(body, "assistant_id", None),
metadata=body.metadata,
)
except Exception:
logger.exception("Failed to write thread_meta for %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to create thread")
# Write an empty checkpoint so state endpoints work immediately
config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
@@ -301,10 +273,10 @@ async def create_thread(body: ThreadCreateRequest, request: Request) -> ThreadRe
}
await checkpointer.aput(config, empty_checkpoint(), ckpt_metadata, {})
except Exception:
logger.exception("Failed to create checkpoint for thread %s", thread_id)
logger.exception("Failed to create checkpoint for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to create thread")
logger.info("Thread created: %s", thread_id)
logger.info("Thread created: %s", sanitize_log_param(thread_id))
return ThreadResponse(
thread_id=thread_id,
status="idle",
@@ -318,166 +290,91 @@ async def create_thread(body: ThreadCreateRequest, request: Request) -> ThreadRe
async def search_threads(body: ThreadSearchRequest, request: Request) -> list[ThreadResponse]:
"""Search and list threads.
Two-phase approach:
**Phase 1 — Store (fast path, O(threads))**: returns threads that were
created or run through this Gateway. Store records are tiny metadata
dicts so fetching all of them at once is cheap.
**Phase 2 — Checkpointer supplement (lazy migration)**: threads that
were created directly by LangGraph Server (and therefore absent from the
Store) are discovered here by iterating the shared checkpointer. Any
newly found thread is immediately written to the Store so that the next
search skips Phase 2 for that thread — the Store converges to a full
index over time without a one-shot migration job.
Delegates to the configured ThreadMetaStore implementation
(SQL-backed for sqlite/postgres, Store-backed for memory mode).
"""
store = get_store(request)
checkpointer = get_checkpointer(request)
from app.gateway.deps import get_thread_meta_repo
# -----------------------------------------------------------------------
# Phase 1: Store
# -----------------------------------------------------------------------
merged: dict[str, ThreadResponse] = {}
if store is not None:
try:
items = await store.asearch(THREADS_NS, limit=10_000)
except Exception:
logger.warning("Store search failed — falling back to checkpointer only", exc_info=True)
items = []
for item in items:
val = item.value
merged[val["thread_id"]] = ThreadResponse(
thread_id=val["thread_id"],
status=val.get("status", "idle"),
created_at=str(val.get("created_at", "")),
updated_at=str(val.get("updated_at", "")),
metadata=val.get("metadata", {}),
values=val.get("values", {}),
)
# -----------------------------------------------------------------------
# Phase 2: Checkpointer supplement
# Discovers threads not yet in the Store (e.g. created by LangGraph
# Server) and lazily migrates them so future searches skip this phase.
# -----------------------------------------------------------------------
try:
async for checkpoint_tuple in checkpointer.alist(None):
cfg = getattr(checkpoint_tuple, "config", {})
thread_id = cfg.get("configurable", {}).get("thread_id")
if not thread_id or thread_id in merged:
continue
# Skip sub-graph checkpoints (checkpoint_ns is non-empty for those)
if cfg.get("configurable", {}).get("checkpoint_ns", ""):
continue
ckpt_meta = getattr(checkpoint_tuple, "metadata", {}) or {}
# Strip LangGraph internal keys from the user-visible metadata dict
user_meta = {k: v for k, v in ckpt_meta.items() if k not in ("created_at", "updated_at", "step", "source", "writes", "parents")}
# Extract state values (title) from the checkpoint's channel_values
checkpoint_data = getattr(checkpoint_tuple, "checkpoint", {}) or {}
channel_values = checkpoint_data.get("channel_values", {})
ckpt_values = {}
if title := channel_values.get("title"):
ckpt_values["title"] = title
thread_resp = ThreadResponse(
thread_id=thread_id,
status=_derive_thread_status(checkpoint_tuple),
created_at=str(ckpt_meta.get("created_at", "")),
updated_at=str(ckpt_meta.get("updated_at", ckpt_meta.get("created_at", ""))),
metadata=user_meta,
values=ckpt_values,
)
merged[thread_id] = thread_resp
# Lazy migration — write to Store so the next search finds it there
if store is not None:
try:
await _store_upsert(store, thread_id, metadata=user_meta, values=ckpt_values or None)
except Exception:
logger.debug("Failed to migrate thread %s to store (non-fatal)", thread_id)
except Exception:
logger.exception("Checkpointer scan failed during thread search")
# Don't raise — return whatever was collected from Store + partial scan
# -----------------------------------------------------------------------
# Phase 3: Filter → sort → paginate
# -----------------------------------------------------------------------
results = list(merged.values())
if body.metadata:
results = [r for r in results if all(r.metadata.get(k) == v for k, v in body.metadata.items())]
if body.status:
results = [r for r in results if r.status == body.status]
results.sort(key=lambda r: r.updated_at, reverse=True)
return results[body.offset : body.offset + body.limit]
repo = get_thread_meta_repo(request)
rows = await repo.search(
metadata=body.metadata or None,
status=body.status,
limit=body.limit,
offset=body.offset,
)
return [
ThreadResponse(
thread_id=r["thread_id"],
status=r.get("status", "idle"),
created_at=r.get("created_at", ""),
updated_at=r.get("updated_at", ""),
metadata=r.get("metadata", {}),
values={"title": r["display_name"]} if r.get("display_name") else {},
interrupts={},
)
for r in rows
]
@router.patch("/{thread_id}", response_model=ThreadResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def patch_thread(thread_id: str, body: ThreadPatchRequest, request: Request) -> ThreadResponse:
"""Merge metadata into a thread record."""
store = get_store(request)
if store is None:
raise HTTPException(status_code=503, detail="Store not available")
from app.gateway.deps import get_thread_meta_repo
record = await _store_get(store, thread_id)
thread_meta_repo = get_thread_meta_repo(request)
record = await thread_meta_repo.get(thread_id)
if record is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
now = time.time()
updated = dict(record)
updated.setdefault("metadata", {}).update(body.metadata)
updated["updated_at"] = now
# ``body.metadata`` already stripped by ``ThreadPatchRequest._strip_reserved``.
try:
await _store_put(store, updated)
await thread_meta_repo.update_metadata(thread_id, body.metadata)
except Exception:
logger.exception("Failed to patch thread %s", thread_id)
logger.exception("Failed to patch thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to update thread")
# Re-read to get the merged metadata + refreshed updated_at
record = await thread_meta_repo.get(thread_id) or record
return ThreadResponse(
thread_id=thread_id,
status=updated.get("status", "idle"),
created_at=str(updated.get("created_at", "")),
updated_at=str(now),
metadata=updated.get("metadata", {}),
status=record.get("status", "idle"),
created_at=str(record.get("created_at", "")),
updated_at=str(record.get("updated_at", "")),
metadata=record.get("metadata", {}),
)
@router.get("/{thread_id}", response_model=ThreadResponse)
@require_permission("threads", "read", owner_check=True)
async def get_thread(thread_id: str, request: Request) -> ThreadResponse:
"""Get thread info.
Reads metadata from the Store and derives the accurate execution
status from the checkpointer. Falls back to the checkpointer alone
for threads that pre-date Store adoption (backward compat).
Reads metadata from the ThreadMetaStore and derives the accurate
execution status from the checkpointer. Falls back to the checkpointer
alone for threads that pre-date ThreadMetaStore adoption (backward compat).
"""
store = get_store(request)
from app.gateway.deps import get_thread_meta_repo
thread_meta_repo = get_thread_meta_repo(request)
checkpointer = get_checkpointer(request)
record: dict | None = None
if store is not None:
record = await _store_get(store, thread_id)
record: dict | None = await thread_meta_repo.get(thread_id)
# Derive accurate status from the checkpointer
config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
try:
checkpoint_tuple = await checkpointer.aget_tuple(config)
except Exception:
logger.exception("Failed to get checkpoint for thread %s", thread_id)
logger.exception("Failed to get checkpoint for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread")
if record is None and checkpoint_tuple is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
# If the thread exists in the checkpointer but not the store (e.g. legacy
# data), synthesize a minimal store record from the checkpoint metadata.
# If the thread exists in the checkpointer but not in thread_meta (e.g.
# legacy data created before thread_meta adoption), synthesize a minimal
# record from the checkpoint metadata.
if record is None and checkpoint_tuple is not None:
ckpt_meta = getattr(checkpoint_tuple, "metadata", {}) or {}
record = {
@@ -506,6 +403,7 @@ async def get_thread(thread_id: str, request: Request) -> ThreadResponse:
@router.get("/{thread_id}/state", response_model=ThreadStateResponse)
@require_permission("threads", "read", owner_check=True)
async def get_thread_state(thread_id: str, request: Request) -> ThreadStateResponse:
"""Get the latest state snapshot for a thread.
@@ -518,7 +416,7 @@ async def get_thread_state(thread_id: str, request: Request) -> ThreadStateRespo
try:
checkpoint_tuple = await checkpointer.aget_tuple(config)
except Exception:
logger.exception("Failed to get state for thread %s", thread_id)
logger.exception("Failed to get state for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread state")
if checkpoint_tuple is None:
@@ -555,15 +453,19 @@ async def get_thread_state(thread_id: str, request: Request) -> ThreadStateRespo
@router.post("/{thread_id}/state", response_model=ThreadStateResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, request: Request) -> ThreadStateResponse:
"""Update thread state (e.g. for human-in-the-loop resume or title rename).
Writes a new checkpoint that merges *body.values* into the latest
channel values, then syncs any updated ``title`` field back to the Store
so that ``/threads/search`` reflects the change immediately.
channel values, then syncs any updated ``title`` field through the
ThreadMetaStore abstraction so that ``/threads/search`` reflects the
change immediately in both sqlite and memory backends.
"""
from app.gateway.deps import get_thread_meta_repo
checkpointer = get_checkpointer(request)
store = get_store(request)
thread_meta_repo = get_thread_meta_repo(request)
# checkpoint_ns must be present in the config for aput — default to ""
# (the root graph namespace). checkpoint_id is optional; omitting it
@@ -580,7 +482,7 @@ async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, re
try:
checkpoint_tuple = await checkpointer.aget_tuple(read_config)
except Exception:
logger.exception("Failed to get state for thread %s", thread_id)
logger.exception("Failed to get state for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread state")
if checkpoint_tuple is None:
@@ -614,19 +516,22 @@ async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, re
try:
new_config = await checkpointer.aput(write_config, checkpoint, metadata, {})
except Exception:
logger.exception("Failed to update state for thread %s", thread_id)
logger.exception("Failed to update state for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to update thread state")
new_checkpoint_id: str | None = None
if isinstance(new_config, dict):
new_checkpoint_id = new_config.get("configurable", {}).get("checkpoint_id")
# Sync title changes to the Store so /threads/search reflects them immediately.
if store is not None and body.values and "title" in body.values:
try:
await _store_upsert(store, thread_id, values={"title": body.values["title"]})
except Exception:
logger.debug("Failed to sync title to store for thread %s (non-fatal)", thread_id)
# Sync title changes through the ThreadMetaStore abstraction so /threads/search
# reflects them immediately in both sqlite and memory backends.
if body.values and "title" in body.values:
new_title = body.values["title"]
if new_title: # Skip empty strings and None
try:
await thread_meta_repo.update_display_name(thread_id, new_title)
except Exception:
logger.debug("Failed to sync title to thread_meta for %s (non-fatal)", sanitize_log_param(thread_id))
return ThreadStateResponse(
values=serialize_channel_values(channel_values),
@@ -638,8 +543,16 @@ async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, re
@router.post("/{thread_id}/history", response_model=list[HistoryEntry])
@require_permission("threads", "read", owner_check=True)
async def get_thread_history(thread_id: str, body: ThreadHistoryRequest, request: Request) -> list[HistoryEntry]:
"""Get checkpoint history for a thread."""
"""Get checkpoint history for a thread.
Messages are read from the checkpointer's channel values (the
authoritative source) and serialized via
:func:`~deerflow.runtime.serialization.serialize_channel_values`.
Only the latest (first) checkpoint carries the ``messages`` key to
avoid duplicating them across every entry.
"""
checkpointer = get_checkpointer(request)
config: dict[str, Any] = {"configurable": {"thread_id": thread_id}}
@@ -647,6 +560,7 @@ async def get_thread_history(thread_id: str, body: ThreadHistoryRequest, request
config["configurable"]["checkpoint_id"] = body.before
entries: list[HistoryEntry] = []
is_latest_checkpoint = True
try:
async for checkpoint_tuple in checkpointer.alist(config, limit=body.limit):
ckpt_config = getattr(checkpoint_tuple, "config", {})
@@ -661,22 +575,42 @@ async def get_thread_history(thread_id: str, body: ThreadHistoryRequest, request
channel_values = checkpoint.get("channel_values", {})
# Build values from checkpoint channel_values
values: dict[str, Any] = {}
if title := channel_values.get("title"):
values["title"] = title
if thread_data := channel_values.get("thread_data"):
values["thread_data"] = thread_data
# Attach messages from checkpointer only for the latest checkpoint
if is_latest_checkpoint:
messages = channel_values.get("messages")
if messages:
values["messages"] = serialize_channel_values({"messages": messages}).get("messages", [])
is_latest_checkpoint = False
# Derive next tasks
tasks_raw = getattr(checkpoint_tuple, "tasks", []) or []
next_tasks = [t.name for t in tasks_raw if hasattr(t, "name")]
# Strip LangGraph internal keys from metadata
user_meta = {k: v for k, v in metadata.items() if k not in ("created_at", "updated_at", "step", "source", "writes", "parents")}
# Keep step for ordering context
if "step" in metadata:
user_meta["step"] = metadata["step"]
entries.append(
HistoryEntry(
checkpoint_id=checkpoint_id,
parent_checkpoint_id=parent_id,
metadata=metadata,
values=serialize_channel_values(channel_values),
metadata=user_meta,
values=values,
created_at=str(metadata.get("created_at", "")),
next=next_tasks,
)
)
except Exception:
logger.exception("Failed to get history for thread %s", thread_id)
logger.exception("Failed to get history for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread history")
return entries
+8 -3
View File
@@ -4,9 +4,10 @@ import logging
import os
import stat
from fastapi import APIRouter, File, HTTPException, UploadFile
from fastapi import APIRouter, File, HTTPException, Request, UploadFile
from pydantic import BaseModel
from app.gateway.authz import require_permission
from deerflow.config.paths import get_paths
from deerflow.sandbox.sandbox_provider import get_sandbox_provider
from deerflow.uploads.manager import (
@@ -54,8 +55,10 @@ def _make_file_sandbox_writable(file_path: os.PathLike[str] | str) -> None:
@router.post("", response_model=UploadResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def upload_files(
thread_id: str,
request: Request,
files: list[UploadFile] = File(...),
) -> UploadResponse:
"""Upload multiple files to a thread's uploads directory."""
@@ -133,7 +136,8 @@ async def upload_files(
@router.get("/list", response_model=dict)
async def list_uploaded_files(thread_id: str) -> dict:
@require_permission("threads", "read", owner_check=True)
async def list_uploaded_files(thread_id: str, request: Request) -> dict:
"""List all files in a thread's uploads directory."""
try:
uploads_dir = get_uploads_dir(thread_id)
@@ -151,7 +155,8 @@ async def list_uploaded_files(thread_id: str) -> dict:
@router.delete("/{filename}")
async def delete_uploaded_file(thread_id: str, filename: str) -> dict:
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_uploaded_file(thread_id: str, filename: str, request: Request) -> dict:
"""Delete a file from a thread's uploads directory."""
try:
uploads_dir = get_uploads_dir(thread_id)
+39 -81
View File
@@ -8,16 +8,17 @@ frames, and consuming stream bridge events. Router modules
from __future__ import annotations
import asyncio
import dataclasses
import json
import logging
import re
import time
from typing import Any
from fastapi import HTTPException, Request
from langchain_core.messages import HumanMessage
from app.gateway.deps import get_checkpointer, get_run_manager, get_store, get_stream_bridge
from app.gateway.deps import get_run_context, get_run_manager, get_run_store, get_stream_bridge
from app.gateway.utils import sanitize_log_param
from deerflow.runtime import (
END_SENTINEL,
HEARTBEAT_SENTINEL,
@@ -171,71 +172,6 @@ def build_run_config(
# ---------------------------------------------------------------------------
async def _upsert_thread_in_store(store, thread_id: str, metadata: dict | None) -> None:
"""Create or refresh the thread record in the Store.
Called from :func:`start_run` so that threads created via the stateless
``/runs/stream`` endpoint (which never calls ``POST /threads``) still
appear in ``/threads/search`` results.
"""
# Deferred import to avoid circular import with the threads router module.
from app.gateway.routers.threads import _store_upsert
try:
await _store_upsert(store, thread_id, metadata=metadata)
except Exception:
logger.warning("Failed to upsert thread %s in store (non-fatal)", thread_id)
async def _sync_thread_title_after_run(
run_task: asyncio.Task,
thread_id: str,
checkpointer: Any,
store: Any,
) -> None:
"""Wait for *run_task* to finish, then persist the generated title to the Store.
TitleMiddleware writes the generated title to the LangGraph agent state
(checkpointer) but the Gateway's Store record is not updated automatically.
This coroutine closes that gap by reading the final checkpoint after the
run completes and syncing ``values.title`` into the Store record so that
subsequent ``/threads/search`` responses include the correct title.
Runs as a fire-and-forget :func:`asyncio.create_task`; failures are
logged at DEBUG level and never propagate.
"""
# Wait for the background run task to complete (any outcome).
# asyncio.wait does not propagate task exceptions — it just returns
# when the task is done, cancelled, or failed.
await asyncio.wait({run_task})
# Deferred import to avoid circular import with the threads router module.
from app.gateway.routers.threads import _store_get, _store_put
try:
ckpt_config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
ckpt_tuple = await checkpointer.aget_tuple(ckpt_config)
if ckpt_tuple is None:
return
channel_values = ckpt_tuple.checkpoint.get("channel_values", {})
title = channel_values.get("title")
if not title:
return
existing = await _store_get(store, thread_id)
if existing is None:
return
updated = dict(existing)
updated.setdefault("values", {})["title"] = title
updated["updated_at"] = time.time()
await _store_put(store, updated)
logger.debug("Synced title %r for thread %s", title, thread_id)
except Exception:
logger.debug("Failed to sync title for thread %s (non-fatal)", thread_id, exc_info=True)
async def start_run(
body: Any,
thread_id: str,
@@ -255,11 +191,25 @@ async def start_run(
"""
bridge = get_stream_bridge(request)
run_mgr = get_run_manager(request)
checkpointer = get_checkpointer(request)
store = get_store(request)
run_ctx = get_run_context(request)
disconnect = DisconnectMode.cancel if body.on_disconnect == "cancel" else DisconnectMode.continue_
# Resolve follow_up_to_run_id: explicit from request, or auto-detect from latest successful run
follow_up_to_run_id = getattr(body, "follow_up_to_run_id", None)
if follow_up_to_run_id is None:
run_store = get_run_store(request)
try:
recent_runs = await run_store.list_by_thread(thread_id, limit=1)
if recent_runs and recent_runs[0].get("status") == "success":
follow_up_to_run_id = recent_runs[0]["run_id"]
except Exception:
pass # Don't block run creation
# Enrich base context with per-run field
if follow_up_to_run_id:
run_ctx = dataclasses.replace(run_ctx, follow_up_to_run_id=follow_up_to_run_id)
try:
record = await run_mgr.create_or_reject(
thread_id,
@@ -268,17 +218,28 @@ async def start_run(
metadata=body.metadata or {},
kwargs={"input": body.input, "config": body.config},
multitask_strategy=body.multitask_strategy,
follow_up_to_run_id=follow_up_to_run_id,
)
except ConflictError as exc:
raise HTTPException(status_code=409, detail=str(exc)) from exc
except UnsupportedStrategyError as exc:
raise HTTPException(status_code=501, detail=str(exc)) from exc
# Ensure the thread is visible in /threads/search, even for threads that
# were never explicitly created via POST /threads (e.g. stateless runs).
store = get_store(request)
if store is not None:
await _upsert_thread_in_store(store, thread_id, body.metadata)
# Upsert thread metadata so the thread appears in /threads/search,
# even for threads that were never explicitly created via POST /threads
# (e.g. stateless runs).
try:
existing = await run_ctx.thread_meta_repo.get(thread_id)
if existing is None:
await run_ctx.thread_meta_repo.create(
thread_id,
assistant_id=body.assistant_id,
metadata=body.metadata,
)
else:
await run_ctx.thread_meta_repo.update_status(thread_id, "running")
except Exception:
logger.warning("Failed to upsert thread_meta for %s (non-fatal)", sanitize_log_param(thread_id))
agent_factory = resolve_agent_factory(body.assistant_id)
graph_input = normalize_input(body.input)
@@ -311,8 +272,7 @@ async def start_run(
bridge,
run_mgr,
record,
checkpointer=checkpointer,
store=store,
ctx=run_ctx,
agent_factory=agent_factory,
graph_input=graph_input,
config=config,
@@ -324,11 +284,9 @@ async def start_run(
)
record.task = task
# After the run completes, sync the title generated by TitleMiddleware from
# the checkpointer into the Store record so that /threads/search returns the
# correct title instead of an empty values dict.
if store is not None:
asyncio.create_task(_sync_thread_title_after_run(task, thread_id, checkpointer, store))
# Title sync is handled by worker.py's finally block which reads the
# title from the checkpoint and calls thread_meta_repo.update_display_name
# after the run completes.
return record
+6
View File
@@ -0,0 +1,6 @@
"""Shared utility helpers for the Gateway layer."""
def sanitize_log_param(value: str) -> str:
"""Strip control characters to prevent log injection."""
return value.replace("\n", "").replace("\r", "").replace("\x00", "")
+77
View File
@@ -0,0 +1,77 @@
# Docker Test Gap (Section 七 7.4)
This file documents the only **un-executed** test cases from
`backend/docs/AUTH_TEST_PLAN.md` after the full release validation pass.
## Why this gap exists
The release validation environment (sg_dev: `10.251.229.92`) **does not have
a Docker daemon installed**. The TC-DOCKER cases are container-runtime
behavior tests that need an actual Docker engine to spin up
`docker/docker-compose.yaml` services.
```bash
$ ssh sg_dev "which docker; docker --version"
# (empty)
# bash: docker: command not found
```
All other test plan sections were executed against either:
- The local dev box (Mac, all services running locally), or
- The deployed sg_dev instance (gateway + frontend + nginx via SSH tunnel)
## Cases not executed
| Case | Title | What it covers | Why not run |
|---|---|---|---|
| TC-DOCKER-01 | `users.db` volume persistence | Verify the `DEER_FLOW_HOME` bind mount survives container restart | needs `docker compose up` |
| TC-DOCKER-02 | Session persistence across container restart | `AUTH_JWT_SECRET` env var keeps cookies valid after `docker compose down && up` | needs `docker compose down/up` |
| TC-DOCKER-03 | Per-worker rate limiter divergence | Confirms in-process `_login_attempts` dict doesn't share state across `gunicorn` workers (4 by default in the compose file); known limitation, documented | needs multi-worker container |
| TC-DOCKER-04 | IM channels skip AuthMiddleware | Verify Feishu/Slack/Telegram dispatchers run in-container against `http://langgraph:2024` without going through nginx | needs `docker logs` |
| TC-DOCKER-05 | Admin credentials surfacing | **Updated post-simplify** — was "log scrape", now "0600 credential file in `DEER_FLOW_HOME`". The file-based behavior is already validated by TC-1.1 + TC-UPG-13 on sg_dev (non-Docker), so the only Docker-specific gap is verifying the volume mount carries the file out to the host | needs container + host volume |
| TC-DOCKER-06 | Gateway-mode Docker deploy | `./scripts/deploy.sh --gateway` produces a 3-container topology (no `langgraph` container); same auth flow as standard mode | needs `docker compose --profile gateway` |
## Coverage already provided by non-Docker tests
The **auth-relevant** behavior in each Docker case is already exercised by
the test cases that ran on sg_dev or local:
| Docker case | Auth behavior covered by |
|---|---|
| TC-DOCKER-01 (volume persistence) | TC-REENT-01 on sg_dev (admin row survives gateway restart) — same SQLite file, just no container layer between |
| TC-DOCKER-02 (session persistence) | TC-API-02/03/06 (cookie roundtrip), plus TC-REENT-04 (multi-cookie) — JWT verification is process-state-free, container restart is equivalent to `pkill uvicorn && uv run uvicorn` |
| TC-DOCKER-03 (per-worker rate limit) | TC-GW-04 + TC-REENT-09 (single-worker rate limit + 5min expiry). The cross-worker divergence is an architectural property of the in-memory dict; no auth code path differs |
| TC-DOCKER-04 (IM channels skip auth) | Code-level only: `app/channels/manager.py` uses `langgraph_sdk` directly with no cookie handling. The langgraph_auth handler is bypassed by going through SDK, not HTTP |
| TC-DOCKER-05 (credential surfacing) | TC-1.1 on sg_dev (file at `~/deer-flow/backend/.deer-flow/admin_initial_credentials.txt`, mode 0600, password 22 chars) — the only Docker-unique step is whether the bind mount projects this path onto the host, which is a `docker compose` config check, not a runtime behavior change |
| TC-DOCKER-06 (gateway-mode container) | Section 七 7.2 covered by TC-GW-01..05 + Section 二 (gateway-mode auth flow on sg_dev) — same Gateway code, container is just a packaging change |
## Reproduction steps when Docker becomes available
Anyone with `docker` + `docker compose` installed can reproduce the gap by
running the test plan section verbatim. Pre-flight:
```bash
# Required on the host
docker --version # >=24.x
docker compose version # plugin >=2.x
# Required env var (otherwise sessions reset on every container restart)
echo "AUTH_JWT_SECRET=$(python3 -c 'import secrets; print(secrets.token_urlsafe(32))')" \
>> .env
# Optional: pin DEER_FLOW_HOME to a stable host path
echo "DEER_FLOW_HOME=$HOME/deer-flow-data" >> .env
```
Then run TC-DOCKER-01..06 from the test plan as written.
## Decision log
- **Not blocking the release.** The auth-relevant behavior in every Docker
case has an already-validated equivalent on bare metal. The gap is purely
about *container packaging* details (bind mounts, multi-worker, log
collection), not about whether the auth code paths work.
- **TC-DOCKER-05 was updated in place** in `AUTH_TEST_PLAN.md` to reflect
the post-simplify reality (credentials file → 0600 file, no log leak).
The old "grep 'Password:' in docker logs" expectation would have failed
silently and given a false sense of coverage.
File diff suppressed because it is too large Load Diff
+129
View File
@@ -0,0 +1,129 @@
# Authentication Upgrade Guide
DeerFlow 内置了认证模块。本文档面向从无认证版本升级的用户。
## 核心概念
认证模块采用**始终强制**策略:
- 首次启动时自动创建 admin 账号,随机密码打印到控制台日志
- 认证从一开始就是强制的,无竞争窗口
- 历史对话(升级前创建的 thread)自动迁移到 admin 名下
## 升级步骤
### 1. 更新代码
```bash
git pull origin main
cd backend && make install
```
### 2. 首次启动
```bash
make dev
```
控制台会输出:
```
============================================================
Admin account created on first boot
Email: admin@deerflow.dev
Password: aB3xK9mN_pQ7rT2w
Change it after login: Settings → Account
============================================================
```
如果未登录就重启了服务,不用担心——只要 setup 未完成,每次启动都会重置密码并重新打印到控制台。
### 3. 登录
访问 `http://localhost:2026/login`,使用控制台输出的邮箱和密码登录。
### 4. 修改密码
登录后进入 Settings → Account → Change Password。
### 5. 添加用户(可选)
其他用户通过 `/login` 页面注册,自动获得 **user** 角色。每个用户只能看到自己的对话。
## 安全机制
| 机制 | 说明 |
|------|------|
| JWT HttpOnly Cookie | Token 不暴露给 JavaScript,防止 XSS 窃取 |
| CSRF Double Submit Cookie | 所有 POST/PUT/DELETE 请求需携带 `X-CSRF-Token` |
| bcrypt 密码哈希 | 密码不以明文存储 |
| 多租户隔离 | 用户只能访问自己的 thread |
| HTTPS 自适应 | 检测 `x-forwarded-proto`,自动设置 `Secure` cookie 标志 |
## 常见操作
### 忘记密码
```bash
cd backend
# 重置 admin 密码
python -m app.gateway.auth.reset_admin
# 重置指定用户密码
python -m app.gateway.auth.reset_admin --email user@example.com
```
会输出新的随机密码。
### 完全重置
删除用户数据库,重启后自动创建新 admin:
```bash
rm -f backend/.deer-flow/users.db
# 重启服务,控制台输出新密码
```
## 数据存储
| 文件 | 内容 |
|------|------|
| `.deer-flow/users.db` | SQLite 用户数据库(密码哈希、角色) |
| `.env` 中的 `AUTH_JWT_SECRET` | JWT 签名密钥(未设置时自动生成临时密钥,重启后 session 失效) |
### 生产环境建议
```bash
# 生成持久化 JWT 密钥,避免重启后所有用户需重新登录
python -c "import secrets; print(secrets.token_urlsafe(32))"
# 将输出添加到 .env
# AUTH_JWT_SECRET=<生成的密钥>
```
## API 端点
| 端点 | 方法 | 说明 |
|------|------|------|
| `/api/v1/auth/login/local` | POST | 邮箱密码登录(OAuth2 form |
| `/api/v1/auth/register` | POST | 注册新用户(user 角色) |
| `/api/v1/auth/logout` | POST | 登出(清除 cookie |
| `/api/v1/auth/me` | GET | 获取当前用户信息 |
| `/api/v1/auth/change-password` | POST | 修改密码 |
| `/api/v1/auth/setup-status` | GET | 检查 admin 是否存在 |
## 兼容性
- **标准模式**`make dev`):完全兼容,admin 自动创建
- **Gateway 模式**`make dev-pro`):完全兼容
- **Docker 部署**:完全兼容,`.deer-flow/users.db` 需持久化卷挂载
- **IM 渠道**Feishu/Slack/Telegram):通过 LangGraph SDK 通信,不经过认证层
- **DeerFlowClient**(嵌入式):不经过 HTTP,不受认证影响
## 故障排查
| 症状 | 原因 | 解决 |
|------|------|------|
| 启动后没看到密码 | admin 已存在(非首次启动) | 用 `reset_admin` 重置,或删 `users.db` |
| 登录后 POST 返回 403 | CSRF token 缺失 | 确认前端已更新 |
| 重启后需要重新登录 | `AUTH_JWT_SECRET` 未持久化 | 在 `.env` 中设置固定密钥 |
+3
View File
@@ -8,6 +8,9 @@
"graphs": {
"lead_agent": "deerflow.agents:make_lead_agent"
},
"auth": {
"path": "./app/gateway/langgraph_auth.py:auth"
},
"checkpointer": {
"path": "./packages/harness/deerflow/agents/checkpointer/async_provider.py:make_checkpointer"
}
@@ -84,23 +84,76 @@ async def _async_checkpointer(config) -> AsyncIterator[Checkpointer]:
@contextlib.asynccontextmanager
async def make_checkpointer() -> AsyncIterator[Checkpointer]:
"""Async context manager that yields a checkpointer for the caller's lifetime.
Resources are opened on enter and closed on exit — no global state::
async with make_checkpointer() as checkpointer:
app.state.checkpointer = checkpointer
Yields an ``InMemorySaver`` when no checkpointer is configured in *config.yaml*.
"""
config = get_app_config()
if config.checkpointer is None:
async def _async_checkpointer_from_database(db_config) -> AsyncIterator[Checkpointer]:
"""Async context manager that constructs a checkpointer from unified DatabaseConfig."""
if db_config.backend == "memory":
from langgraph.checkpoint.memory import InMemorySaver
yield InMemorySaver()
return
async with _async_checkpointer(config.checkpointer) as saver:
yield saver
if db_config.backend == "sqlite":
try:
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
except ImportError as exc:
raise ImportError(SQLITE_INSTALL) from exc
conn_str = db_config.checkpointer_sqlite_path
ensure_sqlite_parent_dir(conn_str)
async with AsyncSqliteSaver.from_conn_string(conn_str) as saver:
await saver.setup()
yield saver
return
if db_config.backend == "postgres":
try:
from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
except ImportError as exc:
raise ImportError(POSTGRES_INSTALL) from exc
if not db_config.postgres_url:
raise ValueError("database.postgres_url is required for the postgres backend")
async with AsyncPostgresSaver.from_conn_string(db_config.postgres_url) as saver:
await saver.setup()
yield saver
return
raise ValueError(f"Unknown database backend: {db_config.backend!r}")
@contextlib.asynccontextmanager
async def make_checkpointer() -> AsyncIterator[Checkpointer]:
"""Async context manager that yields a checkpointer for the caller's lifetime.
Resources are opened on enter and closed on exit -- no global state::
async with make_checkpointer() as checkpointer:
app.state.checkpointer = checkpointer
Yields an ``InMemorySaver`` when no checkpointer is configured in *config.yaml*.
Priority:
1. Legacy ``checkpointer:`` config section (backward compatible)
2. Unified ``database:`` config section
3. Default InMemorySaver
"""
config = get_app_config()
# Legacy: standalone checkpointer config takes precedence
if config.checkpointer is not None:
async with _async_checkpointer(config.checkpointer) as saver:
yield saver
return
# Unified database config
db_config = getattr(config, "database", None)
if db_config is not None and db_config.backend != "memory":
async with _async_checkpointer_from_database(db_config) as saver:
yield saver
return
# Default: in-memory
from langgraph.checkpoint.memory import InMemorySaver
yield InMemorySaver()
@@ -56,13 +56,15 @@ def _create_summarization_middleware() -> SummarizationMiddleware | None:
# Prepare keep parameter
keep = config.keep.to_tuple()
# Prepare model parameter
# Prepare model parameter.
# Bind "middleware:summarize" tag so RunJournal identifies these LLM calls
# as middleware rather than lead_agent (SummarizationMiddleware is a
# LangChain built-in, so we tag the model at creation time).
if config.model_name:
model = create_chat_model(name=config.model_name, thinking_enabled=False)
else:
# Use a lightweight model for summarization to save costs
# Falls back to default model if not explicitly specified
model = create_chat_model(thinking_enabled=False)
model = model.with_config(tags=["middleware:summarize"])
# Prepare kwargs
kwargs = {
@@ -164,6 +164,30 @@ Skip simple one-off tasks.
"""
def _skill_mutability_label(category: str) -> str:
return "[custom, editable]" if category == "custom" else "[built-in]"
def clear_skills_system_prompt_cache() -> None:
_get_cached_skills_prompt_section.cache_clear()
def _build_skill_evolution_section(skill_evolution_enabled: bool) -> str:
if not skill_evolution_enabled:
return ""
return """
## Skill Self-Evolution
After completing a task, consider creating or updating a skill when:
- The task required 5+ tool calls to resolve
- You overcame non-obvious errors or pitfalls
- The user corrected your approach and the corrected version worked
- You discovered a non-trivial, recurring workflow
If you used a skill and encountered issues not covered by it, patch it immediately.
Prefer patch over edit. Before creating a new skill, confirm with the user first.
Skip simple one-off tasks.
"""
def _build_subagent_section(max_concurrent: int) -> str:
"""Build the subagent system prompt section with dynamic concurrency limit.
@@ -1,10 +1,11 @@
"""Middleware for automatic thread title generation."""
import logging
from typing import NotRequired, override
from typing import Any, NotRequired, override
from langchain.agents import AgentState
from langchain.agents.middleware import AgentMiddleware
from langgraph.config import get_config
from langgraph.runtime import Runtime
from deerflow.config.title_config import get_title_config
@@ -100,6 +101,20 @@ class TitleMiddleware(AgentMiddleware[TitleMiddlewareState]):
return user_msg[:fallback_chars].rstrip() + "..."
return user_msg if user_msg else "New Conversation"
def _get_runnable_config(self) -> dict[str, Any]:
"""Inherit the parent RunnableConfig and add middleware tag.
This ensures RunJournal identifies LLM calls from this middleware
as ``middleware:title`` instead of ``lead_agent``.
"""
try:
parent = get_config()
except Exception:
parent = {}
config = {**parent}
config["tags"] = [*(config.get("tags") or []), "middleware:title"]
return config
def _generate_title_result(self, state: TitleMiddlewareState) -> dict | None:
"""Generate a local fallback title without blocking on an LLM call."""
if not self._should_generate_title(state):
@@ -121,7 +136,7 @@ class TitleMiddleware(AgentMiddleware[TitleMiddlewareState]):
model = create_chat_model(name=config.model_name, thinking_enabled=False)
else:
model = create_chat_model(thinking_enabled=False)
response = await model.ainvoke(prompt)
response = await model.ainvoke(prompt, config=self._get_runnable_config())
title = self._parse_title(response.content)
if title:
return {"title": title}
@@ -10,10 +10,12 @@ from pydantic import BaseModel, ConfigDict, Field
from deerflow.config.acp_config import load_acp_config_from_dict
from deerflow.config.checkpointer_config import CheckpointerConfig, load_checkpointer_config_from_dict
from deerflow.config.database_config import DatabaseConfig
from deerflow.config.extensions_config import ExtensionsConfig
from deerflow.config.guardrails_config import GuardrailsConfig, load_guardrails_config_from_dict
from deerflow.config.memory_config import MemoryConfig, load_memory_config_from_dict
from deerflow.config.model_config import ModelConfig
from deerflow.config.run_events_config import RunEventsConfig
from deerflow.config.sandbox_config import SandboxConfig
from deerflow.config.skill_evolution_config import SkillEvolutionConfig
from deerflow.config.skills_config import SkillsConfig
@@ -56,6 +58,8 @@ class AppConfig(BaseModel):
subagents: SubagentsAppConfig = Field(default_factory=SubagentsAppConfig, description="Subagent runtime configuration")
guardrails: GuardrailsConfig = Field(default_factory=GuardrailsConfig, description="Guardrail middleware configuration")
model_config = ConfigDict(extra="allow", frozen=False)
database: DatabaseConfig = Field(default_factory=DatabaseConfig, description="Unified database backend configuration")
run_events: RunEventsConfig = Field(default_factory=RunEventsConfig, description="Run event storage configuration")
checkpointer: CheckpointerConfig | None = Field(default=None, description="Checkpointer configuration")
stream_bridge: StreamBridgeConfig | None = Field(default=None, description="Stream bridge configuration")
@@ -0,0 +1,92 @@
"""Unified database backend configuration.
Controls BOTH the LangGraph checkpointer and the DeerFlow application
persistence layer (runs, threads metadata, users, etc.). The user
configures one backend; the system handles physical separation details.
SQLite mode: checkpointer and app use different .db files in the same
directory to avoid write-lock contention. This is automatic.
Postgres mode: both use the same database URL but maintain independent
connection pools with different lifecycles.
Memory mode: checkpointer uses MemorySaver, app uses in-memory stores.
No database is initialized.
Sensitive values (postgres_url) should use $VAR syntax in config.yaml
to reference environment variables from .env:
database:
backend: postgres
postgres_url: $DATABASE_URL
The $VAR resolution is handled by AppConfig.resolve_env_variables()
before this config is instantiated -- DatabaseConfig itself does not
need to do any environment variable processing.
"""
from __future__ import annotations
import os
from typing import Literal
from pydantic import BaseModel, Field
class DatabaseConfig(BaseModel):
backend: Literal["memory", "sqlite", "postgres"] = Field(
default="memory",
description=("Storage backend for both checkpointer and application data. 'memory' for development (no persistence across restarts), 'sqlite' for single-node deployment, 'postgres' for production multi-node deployment."),
)
sqlite_dir: str = Field(
default=".deer-flow/data",
description=("Directory for SQLite database files. Checkpointer uses {sqlite_dir}/checkpoints.db, application data uses {sqlite_dir}/app.db."),
)
postgres_url: str = Field(
default="",
description=(
"PostgreSQL connection URL, shared by checkpointer and app. "
"Use $DATABASE_URL in config.yaml to reference .env. "
"Example: postgresql://user:pass@host:5432/deerflow "
"(the +asyncpg driver suffix is added automatically where needed)."
),
)
echo_sql: bool = Field(
default=False,
description="Echo all SQL statements to log (debug only).",
)
pool_size: int = Field(
default=5,
description="Connection pool size for the app ORM engine (postgres only).",
)
# -- Derived helpers (not user-configured) --
@property
def _resolved_sqlite_dir(self) -> str:
"""Resolve sqlite_dir to an absolute path (relative to CWD)."""
from pathlib import Path
return str(Path(self.sqlite_dir).resolve())
@property
def checkpointer_sqlite_path(self) -> str:
"""SQLite file path for the LangGraph checkpointer."""
return os.path.join(self._resolved_sqlite_dir, "checkpoints.db")
@property
def app_sqlite_path(self) -> str:
"""SQLite file path for application ORM data."""
return os.path.join(self._resolved_sqlite_dir, "app.db")
@property
def app_sqlalchemy_url(self) -> str:
"""SQLAlchemy async URL for the application ORM engine."""
if self.backend == "sqlite":
return f"sqlite+aiosqlite:///{self.app_sqlite_path}"
if self.backend == "postgres":
url = self.postgres_url
if url.startswith("postgresql://"):
url = url.replace("postgresql://", "postgresql+asyncpg://", 1)
return url
raise ValueError(f"No SQLAlchemy URL for backend={self.backend!r}")
@@ -0,0 +1,33 @@
"""Run event storage configuration.
Controls where run events (messages + execution traces) are persisted.
Backends:
- memory: In-memory storage, data lost on restart. Suitable for
development and testing.
- db: SQL database via SQLAlchemy ORM. Provides full query capability.
Suitable for production deployments.
- jsonl: Append-only JSONL files. Lightweight alternative for
single-node deployments that need persistence without a database.
"""
from __future__ import annotations
from typing import Literal
from pydantic import BaseModel, Field
class RunEventsConfig(BaseModel):
backend: Literal["memory", "db", "jsonl"] = Field(
default="memory",
description="Storage backend for run events. 'memory' for development (no persistence), 'db' for production (SQL queries), 'jsonl' for lightweight single-node persistence.",
)
max_trace_content: int = Field(
default=10240,
description="Maximum trace content size in bytes before truncation (db backend only).",
)
track_token_usage: bool = Field(
default=True,
description="Whether RunJournal should accumulate token counts to RunRow.",
)
@@ -113,7 +113,16 @@ def create_chat_model(name: str | None = None, thinking_enabled: bool = False, *
elif "reasoning_effort" not in model_settings_from_config:
model_settings_from_config["reasoning_effort"] = "medium"
model_instance = model_class(**{**model_settings_from_config, **kwargs})
# Ensure stream_usage is enabled so that token usage metadata is available
# in streaming responses. LangChain's BaseChatOpenAI only defaults
# stream_usage=True when no custom base_url/api_base is set, so models
# hitting third-party endpoints (e.g. doubao, deepseek) silently lose
# usage data. We default it to True unless explicitly configured.
if "stream_usage" not in model_settings_from_config and "stream_usage" not in kwargs:
if "stream_usage" in getattr(model_class, "model_fields", {}):
model_settings_from_config["stream_usage"] = True
model_instance = model_class(**kwargs, **model_settings_from_config)
callbacks = build_tracing_callbacks()
if callbacks:
@@ -0,0 +1,13 @@
"""DeerFlow application persistence layer (SQLAlchemy 2.0 async ORM).
This module manages DeerFlow's own application data -- runs metadata,
thread ownership, cron jobs, users. It is completely separate from
LangGraph's checkpointer, which manages graph execution state.
Usage:
from deerflow.persistence import init_engine, close_engine, get_session_factory
"""
from deerflow.persistence.engine import close_engine, get_engine, get_session_factory, init_engine
__all__ = ["close_engine", "get_engine", "get_session_factory", "init_engine"]
@@ -0,0 +1,40 @@
"""SQLAlchemy declarative base with automatic to_dict support.
All DeerFlow ORM models inherit from this Base. It provides a generic
to_dict() method via SQLAlchemy's inspect() so individual models don't
need to write their own serialization logic.
LangGraph's checkpointer tables are NOT managed by this Base.
"""
from __future__ import annotations
from sqlalchemy import inspect as sa_inspect
from sqlalchemy.orm import DeclarativeBase
class Base(DeclarativeBase):
"""Base class for all DeerFlow ORM models.
Provides:
- Automatic to_dict() via SQLAlchemy column inspection.
- Standard __repr__() showing all column values.
"""
def to_dict(self, *, exclude: set[str] | None = None) -> dict:
"""Convert ORM instance to plain dict.
Uses SQLAlchemy's inspect() to iterate mapped column attributes.
Args:
exclude: Optional set of column keys to omit.
Returns:
Dict of {column_key: value} for all mapped columns.
"""
exclude = exclude or set()
return {c.key: getattr(self, c.key) for c in sa_inspect(type(self)).mapper.column_attrs if c.key not in exclude}
def __repr__(self) -> str:
cols = ", ".join(f"{c.key}={getattr(self, c.key)!r}" for c in sa_inspect(type(self)).mapper.column_attrs)
return f"{type(self).__name__}({cols})"
@@ -0,0 +1,185 @@
"""Async SQLAlchemy engine lifecycle management.
Initializes at Gateway startup, provides session factory for
repositories, disposes at shutdown.
When database.backend="memory", init_engine is a no-op and
get_session_factory() returns None. Repositories must check for
None and fall back to in-memory implementations.
"""
from __future__ import annotations
import json
import logging
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, async_sessionmaker, create_async_engine
def _json_serializer(obj: object) -> str:
"""JSON serializer with ensure_ascii=False for Chinese character support."""
return json.dumps(obj, ensure_ascii=False)
logger = logging.getLogger(__name__)
_engine: AsyncEngine | None = None
_session_factory: async_sessionmaker[AsyncSession] | None = None
async def _auto_create_postgres_db(url: str) -> None:
"""Connect to the ``postgres`` maintenance DB and CREATE DATABASE.
The target database name is extracted from *url*. The connection is
made to the default ``postgres`` database on the same server using
``AUTOCOMMIT`` isolation (CREATE DATABASE cannot run inside a
transaction).
"""
from sqlalchemy import text
from sqlalchemy.engine.url import make_url
parsed = make_url(url)
db_name = parsed.database
if not db_name:
raise ValueError("Cannot auto-create database: no database name in URL")
# Connect to the default 'postgres' database to issue CREATE DATABASE
maint_url = parsed.set(database="postgres")
maint_engine = create_async_engine(maint_url, isolation_level="AUTOCOMMIT")
try:
async with maint_engine.connect() as conn:
await conn.execute(text(f'CREATE DATABASE "{db_name}"'))
logger.info("Auto-created PostgreSQL database: %s", db_name)
finally:
await maint_engine.dispose()
async def init_engine(
backend: str,
*,
url: str = "",
echo: bool = False,
pool_size: int = 5,
sqlite_dir: str = "",
) -> None:
"""Create the async engine and session factory, then auto-create tables.
Args:
backend: "memory", "sqlite", or "postgres".
url: SQLAlchemy async URL (for sqlite/postgres).
echo: Echo SQL to log.
pool_size: Postgres connection pool size.
sqlite_dir: Directory to create for SQLite (ensured to exist).
"""
global _engine, _session_factory
if backend == "memory":
logger.info("Persistence backend=memory -- ORM engine not initialized")
return
if backend == "postgres":
try:
import asyncpg # noqa: F401
except ImportError:
raise ImportError("database.backend is set to 'postgres' but asyncpg is not installed.\nInstall it with:\n uv sync --extra postgres\nOr switch to backend: sqlite in config.yaml for single-node deployment.") from None
if backend == "sqlite":
import os
from sqlalchemy import event
os.makedirs(sqlite_dir or ".", exist_ok=True)
_engine = create_async_engine(url, echo=echo, json_serializer=_json_serializer)
# Enable WAL on every new connection. SQLite PRAGMA settings are
# per-connection, so we wire the listener instead of running PRAGMA
# once at startup. WAL gives concurrent reads + writers without
# blocking and is the standard recommendation for any production
# SQLite deployment (TC-UPG-06 in AUTH_TEST_PLAN.md). The companion
# ``synchronous=NORMAL`` is the safe-and-fast pairing — fsync only
# at WAL checkpoint boundaries instead of every commit.
@event.listens_for(_engine.sync_engine, "connect")
def _enable_sqlite_wal(dbapi_conn, _record): # noqa: ARG001 — SQLAlchemy contract
cursor = dbapi_conn.cursor()
try:
cursor.execute("PRAGMA journal_mode=WAL;")
cursor.execute("PRAGMA synchronous=NORMAL;")
cursor.execute("PRAGMA foreign_keys=ON;")
finally:
cursor.close()
elif backend == "postgres":
_engine = create_async_engine(
url,
echo=echo,
pool_size=pool_size,
pool_pre_ping=True,
json_serializer=_json_serializer,
)
else:
raise ValueError(f"Unknown persistence backend: {backend!r}")
_session_factory = async_sessionmaker(_engine, expire_on_commit=False)
# Auto-create tables (dev convenience). Production should use Alembic.
from deerflow.persistence.base import Base
# Import all models so Base.metadata discovers them.
# When no models exist yet (scaffolding phase), this is a no-op.
try:
import deerflow.persistence.models # noqa: F401
except ImportError:
# Models package not yet available — tables won't be auto-created.
# This is expected during initial scaffolding or minimal installs.
logger.debug("deerflow.persistence.models not found; skipping auto-create tables")
try:
async with _engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
except Exception as exc:
if backend == "postgres" and "does not exist" in str(exc):
# Database not yet created — attempt to auto-create it, then retry.
await _auto_create_postgres_db(url)
# Rebuild engine against the now-existing database
await _engine.dispose()
_engine = create_async_engine(url, echo=echo, pool_size=pool_size, pool_pre_ping=True, json_serializer=_json_serializer)
_session_factory = async_sessionmaker(_engine, expire_on_commit=False)
async with _engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
else:
raise
logger.info("Persistence engine initialized: backend=%s", backend)
async def init_engine_from_config(config) -> None:
"""Convenience: init engine from a DatabaseConfig object."""
if config.backend == "memory":
await init_engine("memory")
return
await init_engine(
backend=config.backend,
url=config.app_sqlalchemy_url,
echo=config.echo_sql,
pool_size=config.pool_size,
sqlite_dir=config.sqlite_dir if config.backend == "sqlite" else "",
)
def get_session_factory() -> async_sessionmaker[AsyncSession] | None:
"""Return the async session factory, or None if backend=memory."""
return _session_factory
def get_engine() -> AsyncEngine | None:
"""Return the async engine, or None if not initialized."""
return _engine
async def close_engine() -> None:
"""Dispose the engine, release all connections."""
global _engine, _session_factory
if _engine is not None:
await _engine.dispose()
logger.info("Persistence engine closed")
_engine = None
_session_factory = None
@@ -0,0 +1,6 @@
"""Feedback persistence — ORM and SQL repository."""
from deerflow.persistence.feedback.model import FeedbackRow
from deerflow.persistence.feedback.sql import FeedbackRepository
__all__ = ["FeedbackRepository", "FeedbackRow"]
@@ -0,0 +1,30 @@
"""ORM model for user feedback on runs."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import DateTime, String, Text
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class FeedbackRow(Base):
__tablename__ = "feedback"
feedback_id: Mapped[str] = mapped_column(String(64), primary_key=True)
run_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
thread_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
owner_id: Mapped[str | None] = mapped_column(String(64), index=True)
message_id: Mapped[str | None] = mapped_column(String(64))
# message_id is an optional RunEventStore event identifier —
# allows feedback to target a specific message or the entire run
rating: Mapped[int] = mapped_column(nullable=False)
# +1 (thumbs-up) or -1 (thumbs-down)
comment: Mapped[str | None] = mapped_column(Text)
# Optional text feedback from the user
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
@@ -0,0 +1,139 @@
"""SQLAlchemy-backed feedback storage.
Each method acquires its own short-lived session.
"""
from __future__ import annotations
import uuid
from datetime import UTC, datetime
from sqlalchemy import case, func, select
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.feedback.model import FeedbackRow
from deerflow.runtime.user_context import AUTO, _AutoSentinel, resolve_owner_id
class FeedbackRepository:
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
@staticmethod
def _row_to_dict(row: FeedbackRow) -> dict:
d = row.to_dict()
val = d.get("created_at")
if isinstance(val, datetime):
d["created_at"] = val.isoformat()
return d
async def create(
self,
*,
run_id: str,
thread_id: str,
rating: int,
owner_id: str | None | _AutoSentinel = AUTO,
message_id: str | None = None,
comment: str | None = None,
) -> dict:
"""Create a feedback record. rating must be +1 or -1."""
if rating not in (1, -1):
raise ValueError(f"rating must be +1 or -1, got {rating}")
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.create")
row = FeedbackRow(
feedback_id=str(uuid.uuid4()),
run_id=run_id,
thread_id=thread_id,
owner_id=resolved_owner_id,
message_id=message_id,
rating=rating,
comment=comment,
created_at=datetime.now(UTC),
)
async with self._sf() as session:
session.add(row)
await session.commit()
await session.refresh(row)
return self._row_to_dict(row)
async def get(
self,
feedback_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> dict | None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.get")
async with self._sf() as session:
row = await session.get(FeedbackRow, feedback_id)
if row is None:
return None
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return None
return self._row_to_dict(row)
async def list_by_run(
self,
thread_id: str,
run_id: str,
*,
limit: int = 100,
owner_id: str | None | _AutoSentinel = AUTO,
) -> list[dict]:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.list_by_run")
stmt = select(FeedbackRow).where(FeedbackRow.thread_id == thread_id, FeedbackRow.run_id == run_id)
if resolved_owner_id is not None:
stmt = stmt.where(FeedbackRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(FeedbackRow.created_at.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def list_by_thread(
self,
thread_id: str,
*,
limit: int = 100,
owner_id: str | None | _AutoSentinel = AUTO,
) -> list[dict]:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.list_by_thread")
stmt = select(FeedbackRow).where(FeedbackRow.thread_id == thread_id)
if resolved_owner_id is not None:
stmt = stmt.where(FeedbackRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(FeedbackRow.created_at.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def delete(
self,
feedback_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> bool:
resolved_owner_id = resolve_owner_id(owner_id, method_name="FeedbackRepository.delete")
async with self._sf() as session:
row = await session.get(FeedbackRow, feedback_id)
if row is None:
return False
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return False
await session.delete(row)
await session.commit()
return True
async def aggregate_by_run(self, thread_id: str, run_id: str) -> dict:
"""Aggregate feedback stats for a run using database-side counting."""
stmt = select(
func.count().label("total"),
func.coalesce(func.sum(case((FeedbackRow.rating == 1, 1), else_=0)), 0).label("positive"),
func.coalesce(func.sum(case((FeedbackRow.rating == -1, 1), else_=0)), 0).label("negative"),
).where(FeedbackRow.thread_id == thread_id, FeedbackRow.run_id == run_id)
async with self._sf() as session:
row = (await session.execute(stmt)).one()
return {
"run_id": run_id,
"total": row.total,
"positive": row.positive,
"negative": row.negative,
}
@@ -0,0 +1,38 @@
[alembic]
script_location = %(here)s
# Default URL for offline mode / autogenerate.
# Runtime uses engine from DeerFlow config.
sqlalchemy.url = sqlite+aiosqlite:///./data/app.db
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARN
handlers = console
[logger_sqlalchemy]
level = WARN
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S
@@ -0,0 +1,65 @@
"""Alembic environment for DeerFlow application tables.
ONLY manages DeerFlow's tables (runs, threads_meta, cron_jobs, users).
LangGraph's checkpointer tables are managed by LangGraph itself -- they
have their own schema lifecycle and must not be touched by Alembic.
"""
from __future__ import annotations
import asyncio
import logging
from logging.config import fileConfig
from alembic import context
from sqlalchemy.ext.asyncio import create_async_engine
from deerflow.persistence.base import Base
# Import all models so metadata is populated.
try:
import deerflow.persistence.models # noqa: F401 — register ORM models with Base.metadata
except ImportError:
# Models not available — migration will work with existing metadata only.
logging.getLogger(__name__).warning("Could not import deerflow.persistence.models; Alembic may not detect all tables")
config = context.config
if config.config_file_name is not None:
fileConfig(config.config_file_name)
target_metadata = Base.metadata
def run_migrations_offline() -> None:
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
render_as_batch=True,
)
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection):
context.configure(
connection=connection,
target_metadata=target_metadata,
render_as_batch=True, # Required for SQLite ALTER TABLE support
)
with context.begin_transaction():
context.run_migrations()
async def run_migrations_online() -> None:
connectable = create_async_engine(config.get_main_option("sqlalchemy.url"))
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
await connectable.dispose()
if context.is_offline_mode():
run_migrations_offline()
else:
asyncio.run(run_migrations_online())
@@ -0,0 +1,23 @@
"""ORM model registration entry point.
Importing this module ensures all ORM models are registered with
``Base.metadata`` so Alembic autogenerate detects every table.
The actual ORM classes have moved to entity-specific subpackages:
- ``deerflow.persistence.thread_meta``
- ``deerflow.persistence.run``
- ``deerflow.persistence.feedback``
- ``deerflow.persistence.user``
``RunEventRow`` remains in ``deerflow.persistence.models.run_event`` because
its storage implementation lives in ``deerflow.runtime.events.store.db`` and
there is no matching entity directory.
"""
from deerflow.persistence.feedback.model import FeedbackRow
from deerflow.persistence.models.run_event import RunEventRow
from deerflow.persistence.run.model import RunRow
from deerflow.persistence.thread_meta.model import ThreadMetaRow
from deerflow.persistence.user.model import UserRow
__all__ = ["FeedbackRow", "RunEventRow", "RunRow", "ThreadMetaRow", "UserRow"]
@@ -0,0 +1,35 @@
"""ORM model for run events."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import JSON, DateTime, Index, String, Text, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class RunEventRow(Base):
__tablename__ = "run_events"
id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
thread_id: Mapped[str] = mapped_column(String(64), nullable=False)
run_id: Mapped[str] = mapped_column(String(64), nullable=False)
# Owner of the conversation this event belongs to. Nullable for data
# created before auth was introduced; populated by auth middleware on
# new writes and by the boot-time orphan migration on existing rows.
owner_id: Mapped[str | None] = mapped_column(String(64), nullable=True, index=True)
event_type: Mapped[str] = mapped_column(String(32), nullable=False)
category: Mapped[str] = mapped_column(String(16), nullable=False)
# "message" | "trace" | "lifecycle"
content: Mapped[str] = mapped_column(Text, default="")
event_metadata: Mapped[dict] = mapped_column(JSON, default=dict)
seq: Mapped[int] = mapped_column(nullable=False)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
__table_args__ = (
UniqueConstraint("thread_id", "seq", name="uq_events_thread_seq"),
Index("ix_events_thread_cat_seq", "thread_id", "category", "seq"),
Index("ix_events_run", "thread_id", "run_id", "seq"),
)
@@ -0,0 +1,6 @@
"""Run metadata persistence — ORM and SQL repository."""
from deerflow.persistence.run.model import RunRow
from deerflow.persistence.run.sql import RunRepository
__all__ = ["RunRepository", "RunRow"]
@@ -0,0 +1,49 @@
"""ORM model for run metadata."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import JSON, DateTime, Index, String, Text
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class RunRow(Base):
__tablename__ = "runs"
run_id: Mapped[str] = mapped_column(String(64), primary_key=True)
thread_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
assistant_id: Mapped[str | None] = mapped_column(String(128))
owner_id: Mapped[str | None] = mapped_column(String(64), index=True)
status: Mapped[str] = mapped_column(String(20), default="pending")
# "pending" | "running" | "success" | "error" | "timeout" | "interrupted"
model_name: Mapped[str | None] = mapped_column(String(128))
multitask_strategy: Mapped[str] = mapped_column(String(20), default="reject")
metadata_json: Mapped[dict] = mapped_column(JSON, default=dict)
kwargs_json: Mapped[dict] = mapped_column(JSON, default=dict)
error: Mapped[str | None] = mapped_column(Text)
# Convenience fields (for listing pages without querying RunEventStore)
message_count: Mapped[int] = mapped_column(default=0)
first_human_message: Mapped[str | None] = mapped_column(Text)
last_ai_message: Mapped[str | None] = mapped_column(Text)
# Token usage (accumulated in-memory by RunJournal, written on run completion)
total_input_tokens: Mapped[int] = mapped_column(default=0)
total_output_tokens: Mapped[int] = mapped_column(default=0)
total_tokens: Mapped[int] = mapped_column(default=0)
llm_call_count: Mapped[int] = mapped_column(default=0)
lead_agent_tokens: Mapped[int] = mapped_column(default=0)
subagent_tokens: Mapped[int] = mapped_column(default=0)
middleware_tokens: Mapped[int] = mapped_column(default=0)
# Follow-up association
follow_up_to_run_id: Mapped[str | None] = mapped_column(String(64))
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC))
__table_args__ = (Index("ix_runs_thread_status", "thread_id", "status"),)
@@ -0,0 +1,255 @@
"""SQLAlchemy-backed RunStore implementation.
Each method acquires and releases its own short-lived session.
Run status updates happen from background workers that may live
minutes -- we don't hold connections across long execution.
"""
from __future__ import annotations
import json
from datetime import UTC, datetime
from typing import Any
from sqlalchemy import func, select, update
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.run.model import RunRow
from deerflow.runtime.runs.store.base import RunStore
from deerflow.runtime.user_context import AUTO, _AutoSentinel, resolve_owner_id
class RunRepository(RunStore):
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
@staticmethod
def _safe_json(obj: Any) -> Any:
"""Ensure obj is JSON-serializable. Falls back to model_dump() or str()."""
if obj is None:
return None
if isinstance(obj, (str, int, float, bool)):
return obj
if isinstance(obj, dict):
return {k: RunRepository._safe_json(v) for k, v in obj.items()}
if isinstance(obj, (list, tuple)):
return [RunRepository._safe_json(v) for v in obj]
if hasattr(obj, "model_dump"):
try:
return obj.model_dump()
except Exception:
pass
if hasattr(obj, "dict"):
try:
return obj.dict()
except Exception:
pass
try:
json.dumps(obj)
return obj
except (TypeError, ValueError):
return str(obj)
@staticmethod
def _row_to_dict(row: RunRow) -> dict[str, Any]:
d = row.to_dict()
# Remap JSON columns to match RunStore interface
d["metadata"] = d.pop("metadata_json", {})
d["kwargs"] = d.pop("kwargs_json", {})
# Convert datetime to ISO string for consistency with MemoryRunStore
for key in ("created_at", "updated_at"):
val = d.get(key)
if isinstance(val, datetime):
d[key] = val.isoformat()
return d
async def put(
self,
run_id,
*,
thread_id,
assistant_id=None,
owner_id: str | None | _AutoSentinel = AUTO,
status="pending",
multitask_strategy="reject",
metadata=None,
kwargs=None,
error=None,
created_at=None,
follow_up_to_run_id=None,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.put")
now = datetime.now(UTC)
row = RunRow(
run_id=run_id,
thread_id=thread_id,
assistant_id=assistant_id,
owner_id=resolved_owner_id,
status=status,
multitask_strategy=multitask_strategy,
metadata_json=self._safe_json(metadata) or {},
kwargs_json=self._safe_json(kwargs) or {},
error=error,
follow_up_to_run_id=follow_up_to_run_id,
created_at=datetime.fromisoformat(created_at) if created_at else now,
updated_at=now,
)
async with self._sf() as session:
session.add(row)
await session.commit()
async def get(
self,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.get")
async with self._sf() as session:
row = await session.get(RunRow, run_id)
if row is None:
return None
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return None
return self._row_to_dict(row)
async def list_by_thread(
self,
thread_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
limit=100,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.list_by_thread")
stmt = select(RunRow).where(RunRow.thread_id == thread_id)
if resolved_owner_id is not None:
stmt = stmt.where(RunRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(RunRow.created_at.desc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def update_status(self, run_id, status, *, error=None):
values: dict[str, Any] = {"status": status, "updated_at": datetime.now(UTC)}
if error is not None:
values["error"] = error
async with self._sf() as session:
await session.execute(update(RunRow).where(RunRow.run_id == run_id).values(**values))
await session.commit()
async def delete(
self,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="RunRepository.delete")
async with self._sf() as session:
row = await session.get(RunRow, run_id)
if row is None:
return
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return
await session.delete(row)
await session.commit()
async def list_pending(self, *, before=None):
if before is None:
before_dt = datetime.now(UTC)
elif isinstance(before, datetime):
before_dt = before
else:
before_dt = datetime.fromisoformat(before)
stmt = select(RunRow).where(RunRow.status == "pending", RunRow.created_at <= before_dt).order_by(RunRow.created_at.asc())
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def update_run_completion(
self,
run_id: str,
*,
status: str,
total_input_tokens: int = 0,
total_output_tokens: int = 0,
total_tokens: int = 0,
llm_call_count: int = 0,
lead_agent_tokens: int = 0,
subagent_tokens: int = 0,
middleware_tokens: int = 0,
message_count: int = 0,
last_ai_message: str | None = None,
first_human_message: str | None = None,
error: str | None = None,
) -> None:
"""Update status + token usage + convenience fields on run completion."""
values: dict[str, Any] = {
"status": status,
"total_input_tokens": total_input_tokens,
"total_output_tokens": total_output_tokens,
"total_tokens": total_tokens,
"llm_call_count": llm_call_count,
"lead_agent_tokens": lead_agent_tokens,
"subagent_tokens": subagent_tokens,
"middleware_tokens": middleware_tokens,
"message_count": message_count,
"updated_at": datetime.now(UTC),
}
if last_ai_message is not None:
values["last_ai_message"] = last_ai_message[:2000]
if first_human_message is not None:
values["first_human_message"] = first_human_message[:2000]
if error is not None:
values["error"] = error
async with self._sf() as session:
await session.execute(update(RunRow).where(RunRow.run_id == run_id).values(**values))
await session.commit()
async def aggregate_tokens_by_thread(self, thread_id: str) -> dict[str, Any]:
"""Aggregate token usage via a single SQL GROUP BY query."""
_completed = RunRow.status.in_(("success", "error"))
_thread = RunRow.thread_id == thread_id
stmt = (
select(
func.coalesce(RunRow.model_name, "unknown").label("model"),
func.count().label("runs"),
func.coalesce(func.sum(RunRow.total_tokens), 0).label("total_tokens"),
func.coalesce(func.sum(RunRow.total_input_tokens), 0).label("total_input_tokens"),
func.coalesce(func.sum(RunRow.total_output_tokens), 0).label("total_output_tokens"),
func.coalesce(func.sum(RunRow.lead_agent_tokens), 0).label("lead_agent"),
func.coalesce(func.sum(RunRow.subagent_tokens), 0).label("subagent"),
func.coalesce(func.sum(RunRow.middleware_tokens), 0).label("middleware"),
)
.where(_thread, _completed)
.group_by(func.coalesce(RunRow.model_name, "unknown"))
)
async with self._sf() as session:
rows = (await session.execute(stmt)).all()
total_tokens = total_input = total_output = total_runs = 0
lead_agent = subagent = middleware = 0
by_model: dict[str, dict] = {}
for r in rows:
by_model[r.model] = {"tokens": r.total_tokens, "runs": r.runs}
total_tokens += r.total_tokens
total_input += r.total_input_tokens
total_output += r.total_output_tokens
total_runs += r.runs
lead_agent += r.lead_agent
subagent += r.subagent
middleware += r.middleware
return {
"total_tokens": total_tokens,
"total_input_tokens": total_input,
"total_output_tokens": total_output,
"total_runs": total_runs,
"by_model": by_model,
"by_caller": {
"lead_agent": lead_agent,
"subagent": subagent,
"middleware": middleware,
},
}
@@ -0,0 +1,13 @@
"""Thread metadata persistence — ORM, abstract store, and concrete implementations."""
from deerflow.persistence.thread_meta.base import ThreadMetaStore
from deerflow.persistence.thread_meta.memory import MemoryThreadMetaStore
from deerflow.persistence.thread_meta.model import ThreadMetaRow
from deerflow.persistence.thread_meta.sql import ThreadMetaRepository
__all__ = [
"MemoryThreadMetaStore",
"ThreadMetaRepository",
"ThreadMetaRow",
"ThreadMetaStore",
]
@@ -0,0 +1,60 @@
"""Abstract interface for thread metadata storage.
Implementations:
- ThreadMetaRepository: SQL-backed (sqlite / postgres via SQLAlchemy)
- MemoryThreadMetaStore: wraps LangGraph BaseStore (memory mode)
"""
from __future__ import annotations
import abc
class ThreadMetaStore(abc.ABC):
@abc.abstractmethod
async def create(
self,
thread_id: str,
*,
assistant_id: str | None = None,
owner_id: str | None = None,
display_name: str | None = None,
metadata: dict | None = None,
) -> dict:
pass
@abc.abstractmethod
async def get(self, thread_id: str) -> dict | None:
pass
@abc.abstractmethod
async def search(
self,
*,
metadata: dict | None = None,
status: str | None = None,
limit: int = 100,
offset: int = 0,
) -> list[dict]:
pass
@abc.abstractmethod
async def update_display_name(self, thread_id: str, display_name: str) -> None:
pass
@abc.abstractmethod
async def update_status(self, thread_id: str, status: str) -> None:
pass
@abc.abstractmethod
async def update_metadata(self, thread_id: str, metadata: dict) -> None:
"""Merge ``metadata`` into the thread's metadata field.
Existing keys are overwritten by the new values; keys absent from
``metadata`` are preserved. No-op if the thread does not exist.
"""
pass
@abc.abstractmethod
async def delete(self, thread_id: str) -> None:
pass
@@ -0,0 +1,120 @@
"""In-memory ThreadMetaStore backed by LangGraph BaseStore.
Used when database.backend=memory. Delegates to the LangGraph Store's
``("threads",)`` namespace — the same namespace used by the Gateway
router for thread records.
"""
from __future__ import annotations
import time
from typing import Any
from langgraph.store.base import BaseStore
from deerflow.persistence.thread_meta.base import ThreadMetaStore
THREADS_NS: tuple[str, ...] = ("threads",)
class MemoryThreadMetaStore(ThreadMetaStore):
def __init__(self, store: BaseStore) -> None:
self._store = store
async def create(
self,
thread_id: str,
*,
assistant_id: str | None = None,
owner_id: str | None = None,
display_name: str | None = None,
metadata: dict | None = None,
) -> dict:
now = time.time()
record: dict[str, Any] = {
"thread_id": thread_id,
"assistant_id": assistant_id,
"owner_id": owner_id,
"display_name": display_name,
"status": "idle",
"metadata": metadata or {},
"values": {},
"created_at": now,
"updated_at": now,
}
await self._store.aput(THREADS_NS, thread_id, record)
return record
async def get(self, thread_id: str) -> dict | None:
item = await self._store.aget(THREADS_NS, thread_id)
return item.value if item is not None else None
async def search(
self,
*,
metadata: dict | None = None,
status: str | None = None,
limit: int = 100,
offset: int = 0,
) -> list[dict]:
filter_dict: dict[str, Any] = {}
if metadata:
filter_dict.update(metadata)
if status:
filter_dict["status"] = status
items = await self._store.asearch(
THREADS_NS,
filter=filter_dict or None,
limit=limit,
offset=offset,
)
return [self._item_to_dict(item) for item in items]
async def update_display_name(self, thread_id: str, display_name: str) -> None:
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return
record = dict(item.value)
record["display_name"] = display_name
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def update_status(self, thread_id: str, status: str) -> None:
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return
record = dict(item.value)
record["status"] = status
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def update_metadata(self, thread_id: str, metadata: dict) -> None:
"""Merge ``metadata`` into the in-memory record. No-op if absent."""
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return
record = dict(item.value)
merged = dict(record.get("metadata") or {})
merged.update(metadata)
record["metadata"] = merged
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def delete(self, thread_id: str) -> None:
await self._store.adelete(THREADS_NS, thread_id)
@staticmethod
def _item_to_dict(item) -> dict[str, Any]:
"""Convert a Store SearchItem to the dict format expected by callers."""
val = item.value
return {
"thread_id": item.key,
"assistant_id": val.get("assistant_id"),
"owner_id": val.get("owner_id"),
"display_name": val.get("display_name"),
"status": val.get("status", "idle"),
"metadata": val.get("metadata", {}),
"created_at": str(val.get("created_at", "")),
"updated_at": str(val.get("updated_at", "")),
}
@@ -0,0 +1,23 @@
"""ORM model for thread metadata."""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import JSON, DateTime, String
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class ThreadMetaRow(Base):
__tablename__ = "threads_meta"
thread_id: Mapped[str] = mapped_column(String(64), primary_key=True)
assistant_id: Mapped[str | None] = mapped_column(String(128), index=True)
owner_id: Mapped[str | None] = mapped_column(String(64), index=True)
display_name: Mapped[str | None] = mapped_column(String(256))
status: Mapped[str] = mapped_column(String(20), default="idle")
metadata_json: Mapped[dict] = mapped_column(JSON, default=dict)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC))
@@ -0,0 +1,223 @@
"""SQLAlchemy-backed thread metadata repository."""
from __future__ import annotations
from datetime import UTC, datetime
from typing import Any
from sqlalchemy import select, update
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.thread_meta.base import ThreadMetaStore
from deerflow.persistence.thread_meta.model import ThreadMetaRow
from deerflow.runtime.user_context import AUTO, _AutoSentinel, resolve_owner_id
class ThreadMetaRepository(ThreadMetaStore):
def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
self._sf = session_factory
@staticmethod
def _row_to_dict(row: ThreadMetaRow) -> dict[str, Any]:
d = row.to_dict()
d["metadata"] = d.pop("metadata_json", {})
for key in ("created_at", "updated_at"):
val = d.get(key)
if isinstance(val, datetime):
d[key] = val.isoformat()
return d
async def create(
self,
thread_id: str,
*,
assistant_id: str | None = None,
owner_id: str | None | _AutoSentinel = AUTO,
display_name: str | None = None,
metadata: dict | None = None,
) -> dict:
# Auto-resolve owner_id from contextvar when AUTO; explicit None
# creates an orphan row (used by migration scripts).
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.create")
now = datetime.now(UTC)
row = ThreadMetaRow(
thread_id=thread_id,
assistant_id=assistant_id,
owner_id=resolved_owner_id,
display_name=display_name,
metadata_json=metadata or {},
created_at=now,
updated_at=now,
)
async with self._sf() as session:
session.add(row)
await session.commit()
await session.refresh(row)
return self._row_to_dict(row)
async def get(
self,
thread_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> dict | None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.get")
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return None
# Enforce owner filter unless explicitly bypassed (owner_id=None).
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return None
return self._row_to_dict(row)
async def list_by_owner(self, owner_id: str, *, limit: int = 100, offset: int = 0) -> list[dict]:
stmt = select(ThreadMetaRow).where(ThreadMetaRow.owner_id == owner_id).order_by(ThreadMetaRow.updated_at.desc()).limit(limit).offset(offset)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def check_access(self, thread_id: str, owner_id: str, *, require_existing: bool = False) -> bool:
"""Check if ``owner_id`` has access to ``thread_id``.
Two modes — one row, two distinct semantics depending on what
the caller is about to do:
- ``require_existing=False`` (default, permissive):
Returns True for: row missing (untracked legacy thread),
``row.owner_id`` is None (shared / pre-auth data),
or ``row.owner_id == owner_id``. Use for **read-style**
decorators where treating an untracked thread as accessible
preserves backward-compat.
- ``require_existing=True`` (strict):
Returns True **only** when the row exists AND
(``row.owner_id == owner_id`` OR ``row.owner_id is None``).
Use for **destructive / mutating** decorators (DELETE, PATCH,
state-update) so a thread that has *already been deleted*
cannot be re-targeted by any caller — closing the
delete-idempotence cross-user gap where the row vanishing
made every other user appear to "own" it.
"""
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return not require_existing
if row.owner_id is None:
return True
return row.owner_id == owner_id
async def search(
self,
*,
metadata: dict | None = None,
status: str | None = None,
limit: int = 100,
offset: int = 0,
owner_id: str | None | _AutoSentinel = AUTO,
) -> list[dict]:
"""Search threads with optional metadata and status filters.
Owner filter is enforced by default: caller must be in a user
context. Pass ``owner_id=None`` to bypass (migration/CLI).
"""
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.search")
stmt = select(ThreadMetaRow).order_by(ThreadMetaRow.updated_at.desc())
if resolved_owner_id is not None:
stmt = stmt.where(ThreadMetaRow.owner_id == resolved_owner_id)
if status:
stmt = stmt.where(ThreadMetaRow.status == status)
if metadata:
# When metadata filter is active, fetch a larger window and filter
# in Python. TODO(Phase 2): use JSON DB operators (Postgres @>,
# SQLite json_extract) for server-side filtering.
stmt = stmt.limit(limit * 5 + offset)
async with self._sf() as session:
result = await session.execute(stmt)
rows = [self._row_to_dict(r) for r in result.scalars()]
rows = [r for r in rows if all(r.get("metadata", {}).get(k) == v for k, v in metadata.items())]
return rows[offset : offset + limit]
else:
stmt = stmt.limit(limit).offset(offset)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def _check_ownership(self, session: AsyncSession, thread_id: str, resolved_owner_id: str | None) -> bool:
"""Return True if the row exists and is owned (or filter bypassed)."""
if resolved_owner_id is None:
return True # explicit bypass
row = await session.get(ThreadMetaRow, thread_id)
return row is not None and row.owner_id == resolved_owner_id
async def update_display_name(
self,
thread_id: str,
display_name: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
"""Update the display_name (title) for a thread."""
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.update_display_name")
async with self._sf() as session:
if not await self._check_ownership(session, thread_id, resolved_owner_id):
return
await session.execute(update(ThreadMetaRow).where(ThreadMetaRow.thread_id == thread_id).values(display_name=display_name, updated_at=datetime.now(UTC)))
await session.commit()
async def update_status(
self,
thread_id: str,
status: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.update_status")
async with self._sf() as session:
if not await self._check_ownership(session, thread_id, resolved_owner_id):
return
await session.execute(update(ThreadMetaRow).where(ThreadMetaRow.thread_id == thread_id).values(status=status, updated_at=datetime.now(UTC)))
await session.commit()
async def update_metadata(
self,
thread_id: str,
metadata: dict,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
"""Merge ``metadata`` into ``metadata_json``.
Read-modify-write inside a single session/transaction so concurrent
callers see consistent state. No-op if the row does not exist or
the owner_id check fails.
"""
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.update_metadata")
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return
merged = dict(row.metadata_json or {})
merged.update(metadata)
row.metadata_json = merged
row.updated_at = datetime.now(UTC)
await session.commit()
async def delete(
self,
thread_id: str,
*,
owner_id: str | None | _AutoSentinel = AUTO,
) -> None:
resolved_owner_id = resolve_owner_id(owner_id, method_name="ThreadMetaRepository.delete")
async with self._sf() as session:
row = await session.get(ThreadMetaRow, thread_id)
if row is None:
return
if resolved_owner_id is not None and row.owner_id != resolved_owner_id:
return
await session.delete(row)
await session.commit()
@@ -0,0 +1,12 @@
"""User storage subpackage.
Holds the ORM model for the ``users`` table. The concrete repository
implementation (``SQLiteUserRepository``) lives in the app layer
(``app.gateway.auth.repositories.sqlite``) because it converts
between the ORM row and the auth module's pydantic ``User`` class.
This keeps the harness package free of any dependency on app code.
"""
from deerflow.persistence.user.model import UserRow
__all__ = ["UserRow"]
@@ -0,0 +1,59 @@
"""ORM model for the users table.
Lives in the harness persistence package so it is picked up by
``Base.metadata.create_all()`` alongside ``threads_meta``, ``runs``,
``run_events``, and ``feedback``. Using the shared engine means:
- One SQLite/Postgres database, one connection pool
- One schema initialisation codepath
- Consistent async sessions across auth and persistence reads
"""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import Boolean, DateTime, Index, String, text
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class UserRow(Base):
__tablename__ = "users"
# UUIDs are stored as 36-char strings for cross-backend portability.
id: Mapped[str] = mapped_column(String(36), primary_key=True)
email: Mapped[str] = mapped_column(String(320), unique=True, nullable=False, index=True)
password_hash: Mapped[str | None] = mapped_column(String(128), nullable=True)
# "admin" | "user" — kept as plain string to avoid ALTER TABLE pain
# when new roles are introduced.
system_role: Mapped[str] = mapped_column(String(16), nullable=False, default="user")
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
nullable=False,
default=lambda: datetime.now(UTC),
)
# OAuth linkage (optional). A partial unique index enforces one
# account per (provider, oauth_id) pair, leaving NULL/NULL rows
# unconstrained so plain password accounts can coexist.
oauth_provider: Mapped[str | None] = mapped_column(String(32), nullable=True)
oauth_id: Mapped[str | None] = mapped_column(String(128), nullable=True)
# Auth lifecycle flags
needs_setup: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
token_version: Mapped[int] = mapped_column(nullable=False, default=0)
__table_args__ = (
Index(
"idx_users_oauth_identity",
"oauth_provider",
"oauth_id",
unique=True,
sqlite_where=text("oauth_provider IS NOT NULL AND oauth_id IS NOT NULL"),
),
)
@@ -5,7 +5,7 @@ Re-exports the public API of :mod:`~deerflow.runtime.runs` and
directly from ``deerflow.runtime``.
"""
from .runs import ConflictError, DisconnectMode, RunManager, RunRecord, RunStatus, UnsupportedStrategyError, run_agent
from .runs import ConflictError, DisconnectMode, RunContext, RunManager, RunRecord, RunStatus, UnsupportedStrategyError, run_agent
from .serialization import serialize, serialize_channel_values, serialize_lc_object, serialize_messages_tuple
from .store import get_store, make_store, reset_store, store_context
from .stream_bridge import END_SENTINEL, HEARTBEAT_SENTINEL, MemoryStreamBridge, StreamBridge, StreamEvent, make_stream_bridge
@@ -14,6 +14,7 @@ __all__ = [
# runs
"ConflictError",
"DisconnectMode",
"RunContext",
"RunManager",
"RunRecord",
"RunStatus",
@@ -0,0 +1,134 @@
"""Pure functions to convert LangChain message objects to OpenAI Chat Completions format.
Used by RunJournal to build content dicts for event storage.
"""
from __future__ import annotations
import json
from typing import Any
_ROLE_MAP = {
"human": "user",
"ai": "assistant",
"system": "system",
"tool": "tool",
}
def langchain_to_openai_message(message: Any) -> dict:
"""Convert a single LangChain BaseMessage to an OpenAI message dict.
Handles:
- HumanMessage → {"role": "user", "content": "..."}
- AIMessage (text only) → {"role": "assistant", "content": "..."}
- AIMessage (with tool_calls) → {"role": "assistant", "content": null, "tool_calls": [...]}
- AIMessage (text + tool_calls) → both content and tool_calls present
- AIMessage (list content / multimodal) → content preserved as list
- SystemMessage → {"role": "system", "content": "..."}
- ToolMessage → {"role": "tool", "tool_call_id": "...", "content": "..."}
"""
msg_type = getattr(message, "type", "")
role = _ROLE_MAP.get(msg_type, msg_type)
content = getattr(message, "content", "")
if role == "tool":
return {
"role": "tool",
"tool_call_id": getattr(message, "tool_call_id", ""),
"content": content,
}
if role == "assistant":
tool_calls = getattr(message, "tool_calls", None) or []
result: dict = {"role": "assistant"}
if tool_calls:
openai_tool_calls = []
for tc in tool_calls:
args = tc.get("args", {})
openai_tool_calls.append(
{
"id": tc.get("id", ""),
"type": "function",
"function": {
"name": tc.get("name", ""),
"arguments": json.dumps(args) if not isinstance(args, str) else args,
},
}
)
# If no text content, set content to null per OpenAI spec
result["content"] = content if (isinstance(content, list) and content) or (isinstance(content, str) and content) else None
result["tool_calls"] = openai_tool_calls
else:
result["content"] = content
return result
# user / system / unknown
return {"role": role, "content": content}
def _infer_finish_reason(message: Any) -> str:
"""Infer OpenAI finish_reason from an AIMessage.
Returns "tool_calls" if tool_calls present, else looks in
response_metadata.finish_reason, else returns "stop".
"""
tool_calls = getattr(message, "tool_calls", None) or []
if tool_calls:
return "tool_calls"
resp_meta = getattr(message, "response_metadata", None) or {}
if isinstance(resp_meta, dict):
finish = resp_meta.get("finish_reason")
if finish:
return finish
return "stop"
def langchain_to_openai_completion(message: Any) -> dict:
"""Convert an AIMessage and its metadata to an OpenAI completion response dict.
Returns:
{
"id": message.id,
"model": message.response_metadata.get("model_name"),
"choices": [{"index": 0, "message": <openai_message>, "finish_reason": <inferred>}],
"usage": {"prompt_tokens": ..., "completion_tokens": ..., "total_tokens": ...} or None,
}
"""
resp_meta = getattr(message, "response_metadata", None) or {}
model_name = resp_meta.get("model_name") if isinstance(resp_meta, dict) else None
openai_msg = langchain_to_openai_message(message)
finish_reason = _infer_finish_reason(message)
usage_metadata = getattr(message, "usage_metadata", None)
if usage_metadata is not None:
input_tokens = usage_metadata.get("input_tokens", 0) or 0
output_tokens = usage_metadata.get("output_tokens", 0) or 0
usage: dict | None = {
"prompt_tokens": input_tokens,
"completion_tokens": output_tokens,
"total_tokens": input_tokens + output_tokens,
}
else:
usage = None
return {
"id": getattr(message, "id", None),
"model": model_name,
"choices": [
{
"index": 0,
"message": openai_msg,
"finish_reason": finish_reason,
}
],
"usage": usage,
}
def langchain_messages_to_openai(messages: list) -> list[dict]:
"""Convert a list of LangChain BaseMessages to OpenAI message dicts."""
return [langchain_to_openai_message(m) for m in messages]
@@ -0,0 +1,4 @@
from deerflow.runtime.events.store.base import RunEventStore
from deerflow.runtime.events.store.memory import MemoryRunEventStore
__all__ = ["MemoryRunEventStore", "RunEventStore"]
@@ -0,0 +1,26 @@
from deerflow.runtime.events.store.base import RunEventStore
from deerflow.runtime.events.store.memory import MemoryRunEventStore
def make_run_event_store(config=None) -> RunEventStore:
"""Create a RunEventStore based on run_events.backend configuration."""
if config is None or config.backend == "memory":
return MemoryRunEventStore()
if config.backend == "db":
from deerflow.persistence.engine import get_session_factory
sf = get_session_factory()
if sf is None:
# database.backend=memory but run_events.backend=db -> fallback
return MemoryRunEventStore()
from deerflow.runtime.events.store.db import DbRunEventStore
return DbRunEventStore(sf, max_trace_content=config.max_trace_content)
if config.backend == "jsonl":
from deerflow.runtime.events.store.jsonl import JsonlRunEventStore
return JsonlRunEventStore()
raise ValueError(f"Unknown run_events backend: {config.backend!r}")
__all__ = ["MemoryRunEventStore", "RunEventStore", "make_run_event_store"]
@@ -0,0 +1,99 @@
"""Abstract interface for run event storage.
RunEventStore is the unified storage interface for run event streams.
Messages (frontend display) and execution traces (debugging/audit) go
through the same interface, distinguished by the ``category`` field.
Implementations:
- MemoryRunEventStore: in-memory dict (development, tests)
- Future: DB-backed store (SQLAlchemy ORM), JSONL file store
"""
from __future__ import annotations
import abc
class RunEventStore(abc.ABC):
"""Run event stream storage interface.
All implementations must guarantee:
1. put() events are retrievable in subsequent queries
2. seq is strictly increasing within the same thread
3. list_messages() only returns category="message" events
4. list_events() returns all events for the specified run
5. Returned dicts match the RunEvent field structure
"""
@abc.abstractmethod
async def put(
self,
*,
thread_id: str,
run_id: str,
event_type: str,
category: str,
content: str | dict = "",
metadata: dict | None = None,
created_at: str | None = None,
) -> dict:
"""Write an event, auto-assign seq, return the complete record."""
@abc.abstractmethod
async def put_batch(self, events: list[dict]) -> list[dict]:
"""Batch-write events. Used by RunJournal flush buffer.
Each dict's keys match put()'s keyword arguments.
Returns complete records with seq assigned.
"""
@abc.abstractmethod
async def list_messages(
self,
thread_id: str,
*,
limit: int = 50,
before_seq: int | None = None,
after_seq: int | None = None,
) -> list[dict]:
"""Return displayable messages (category=message) for a thread, ordered by seq ascending.
Supports bidirectional cursor pagination:
- before_seq: return the last ``limit`` records with seq < before_seq (ascending)
- after_seq: return the first ``limit`` records with seq > after_seq (ascending)
- neither: return the latest ``limit`` records (ascending)
"""
@abc.abstractmethod
async def list_events(
self,
thread_id: str,
run_id: str,
*,
event_types: list[str] | None = None,
limit: int = 500,
) -> list[dict]:
"""Return the full event stream for a run, ordered by seq ascending.
Optionally filter by event_types.
"""
@abc.abstractmethod
async def list_messages_by_run(
self,
thread_id: str,
run_id: str,
) -> list[dict]:
"""Return displayable messages (category=message) for a specific run, ordered by seq ascending."""
@abc.abstractmethod
async def count_messages(self, thread_id: str) -> int:
"""Count displayable messages (category=message) in a thread."""
@abc.abstractmethod
async def delete_by_thread(self, thread_id: str) -> int:
"""Delete all events for a thread. Return the number of deleted events."""
@abc.abstractmethod
async def delete_by_run(self, thread_id: str, run_id: str) -> int:
"""Delete all events for a specific run. Return the number of deleted events."""
@@ -0,0 +1,261 @@
"""SQLAlchemy-backed RunEventStore implementation.
Persists events to the ``run_events`` table. Trace content is truncated
at ``max_trace_content`` bytes to avoid bloating the database.
"""
from __future__ import annotations
import json
import logging
from datetime import UTC, datetime
from sqlalchemy import delete, func, select
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
from deerflow.persistence.models.run_event import RunEventRow
from deerflow.runtime.events.store.base import RunEventStore
from deerflow.runtime.user_context import AUTO, _AutoSentinel, get_current_user, resolve_owner_id
logger = logging.getLogger(__name__)
class DbRunEventStore(RunEventStore):
def __init__(self, session_factory: async_sessionmaker[AsyncSession], *, max_trace_content: int = 10240):
self._sf = session_factory
self._max_trace_content = max_trace_content
@staticmethod
def _row_to_dict(row: RunEventRow) -> dict:
d = row.to_dict()
d["metadata"] = d.pop("event_metadata", {})
val = d.get("created_at")
if isinstance(val, datetime):
d["created_at"] = val.isoformat()
d.pop("id", None)
# Restore dict content that was JSON-serialized on write
raw = d.get("content", "")
if isinstance(raw, str) and d.get("metadata", {}).get("content_is_dict"):
try:
d["content"] = json.loads(raw)
except (json.JSONDecodeError, ValueError):
# Content looked like JSON (content_is_dict flag) but failed to parse;
# keep the raw string as-is.
logger.debug("Failed to deserialize content as JSON for event seq=%s", d.get("seq"))
return d
def _truncate_trace(self, category: str, content: str | dict, metadata: dict | None) -> tuple[str | dict, dict]:
if category == "trace":
text = json.dumps(content, default=str, ensure_ascii=False) if isinstance(content, dict) else content
encoded = text.encode("utf-8")
if len(encoded) > self._max_trace_content:
# Truncate by bytes, then decode back (may cut a multi-byte char, so use errors="ignore")
content = encoded[: self._max_trace_content].decode("utf-8", errors="ignore")
metadata = {**(metadata or {}), "content_truncated": True, "original_byte_length": len(encoded)}
return content, metadata or {}
@staticmethod
def _owner_from_context() -> str | None:
"""Soft read of owner_id from contextvar for write paths.
Returns ``None`` (no filter / no stamp) if contextvar is unset,
which is the expected case for background worker writes. HTTP
request writes will have the contextvar set by auth middleware
and get their user_id stamped automatically.
"""
user = get_current_user()
return user.id if user is not None else None
async def put(self, *, thread_id, run_id, event_type, category, content="", metadata=None, created_at=None): # noqa: D401
"""Write a single event — low-frequency path only.
This opens a dedicated transaction with a FOR UPDATE lock to
assign a monotonic *seq*. For high-throughput writes use
:meth:`put_batch`, which acquires the lock once for the whole
batch. Currently the only caller is ``worker.run_agent`` for
the initial ``human_message`` event (once per run).
"""
content, metadata = self._truncate_trace(category, content, metadata)
if isinstance(content, dict):
db_content = json.dumps(content, default=str, ensure_ascii=False)
metadata = {**(metadata or {}), "content_is_dict": True}
else:
db_content = content
owner_id = self._owner_from_context()
async with self._sf() as session:
async with session.begin():
# Use FOR UPDATE to serialize seq assignment within a thread.
# NOTE: with_for_update() on aggregates is a no-op on SQLite;
# the UNIQUE(thread_id, seq) constraint catches races there.
max_seq = await session.scalar(select(func.max(RunEventRow.seq)).where(RunEventRow.thread_id == thread_id).with_for_update())
seq = (max_seq or 0) + 1
row = RunEventRow(
thread_id=thread_id,
run_id=run_id,
owner_id=owner_id,
event_type=event_type,
category=category,
content=db_content,
event_metadata=metadata,
seq=seq,
created_at=datetime.fromisoformat(created_at) if created_at else datetime.now(UTC),
)
session.add(row)
return self._row_to_dict(row)
async def put_batch(self, events):
if not events:
return []
owner_id = self._owner_from_context()
async with self._sf() as session:
async with session.begin():
# Get max seq for the thread (assume all events in batch belong to same thread).
# NOTE: with_for_update() on aggregates is a no-op on SQLite;
# the UNIQUE(thread_id, seq) constraint catches races there.
thread_id = events[0]["thread_id"]
max_seq = await session.scalar(select(func.max(RunEventRow.seq)).where(RunEventRow.thread_id == thread_id).with_for_update())
seq = max_seq or 0
rows = []
for e in events:
seq += 1
content = e.get("content", "")
category = e.get("category", "trace")
metadata = e.get("metadata")
content, metadata = self._truncate_trace(category, content, metadata)
if isinstance(content, dict):
db_content = json.dumps(content, default=str, ensure_ascii=False)
metadata = {**(metadata or {}), "content_is_dict": True}
else:
db_content = content
row = RunEventRow(
thread_id=e["thread_id"],
run_id=e["run_id"],
owner_id=e.get("owner_id", owner_id),
event_type=e["event_type"],
category=category,
content=db_content,
event_metadata=metadata,
seq=seq,
created_at=datetime.fromisoformat(e["created_at"]) if e.get("created_at") else datetime.now(UTC),
)
session.add(row)
rows.append(row)
return [self._row_to_dict(r) for r in rows]
async def list_messages(
self,
thread_id,
*,
limit=50,
before_seq=None,
after_seq=None,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.list_messages")
stmt = select(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.category == "message")
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
if before_seq is not None:
stmt = stmt.where(RunEventRow.seq < before_seq)
if after_seq is not None:
stmt = stmt.where(RunEventRow.seq > after_seq)
if after_seq is not None:
# Forward pagination: first `limit` records after cursor
stmt = stmt.order_by(RunEventRow.seq.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
else:
# before_seq or default (latest): take last `limit` records, return ascending
stmt = stmt.order_by(RunEventRow.seq.desc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
rows = list(result.scalars())
return [self._row_to_dict(r) for r in reversed(rows)]
async def list_events(
self,
thread_id,
run_id,
*,
event_types=None,
limit=500,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.list_events")
stmt = select(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.run_id == run_id)
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
if event_types:
stmt = stmt.where(RunEventRow.event_type.in_(event_types))
stmt = stmt.order_by(RunEventRow.seq.asc()).limit(limit)
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def list_messages_by_run(
self,
thread_id,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.list_messages_by_run")
stmt = select(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.run_id == run_id, RunEventRow.category == "message")
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
stmt = stmt.order_by(RunEventRow.seq.asc())
async with self._sf() as session:
result = await session.execute(stmt)
return [self._row_to_dict(r) for r in result.scalars()]
async def count_messages(
self,
thread_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.count_messages")
stmt = select(func.count()).select_from(RunEventRow).where(RunEventRow.thread_id == thread_id, RunEventRow.category == "message")
if resolved_owner_id is not None:
stmt = stmt.where(RunEventRow.owner_id == resolved_owner_id)
async with self._sf() as session:
return await session.scalar(stmt) or 0
async def delete_by_thread(
self,
thread_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.delete_by_thread")
async with self._sf() as session:
count_conditions = [RunEventRow.thread_id == thread_id]
if resolved_owner_id is not None:
count_conditions.append(RunEventRow.owner_id == resolved_owner_id)
count_stmt = select(func.count()).select_from(RunEventRow).where(*count_conditions)
count = await session.scalar(count_stmt) or 0
if count > 0:
await session.execute(delete(RunEventRow).where(*count_conditions))
await session.commit()
return count
async def delete_by_run(
self,
thread_id,
run_id,
*,
owner_id: str | None | _AutoSentinel = AUTO,
):
resolved_owner_id = resolve_owner_id(owner_id, method_name="DbRunEventStore.delete_by_run")
async with self._sf() as session:
count_conditions = [RunEventRow.thread_id == thread_id, RunEventRow.run_id == run_id]
if resolved_owner_id is not None:
count_conditions.append(RunEventRow.owner_id == resolved_owner_id)
count_stmt = select(func.count()).select_from(RunEventRow).where(*count_conditions)
count = await session.scalar(count_stmt) or 0
if count > 0:
await session.execute(delete(RunEventRow).where(*count_conditions))
await session.commit()
return count
@@ -0,0 +1,179 @@
"""JSONL file-backed RunEventStore implementation.
Each run's events are stored in a single file:
``.deer-flow/threads/{thread_id}/runs/{run_id}.jsonl``
All categories (message, trace, lifecycle) are in the same file.
This backend is suitable for lightweight single-node deployments.
Known trade-off: ``list_messages()`` must scan all run files for a
thread since messages from multiple runs need unified seq ordering.
``list_events()`` reads only one file -- the fast path.
"""
from __future__ import annotations
import json
import logging
import re
from datetime import UTC, datetime
from pathlib import Path
from deerflow.runtime.events.store.base import RunEventStore
logger = logging.getLogger(__name__)
_SAFE_ID_PATTERN = re.compile(r"^[A-Za-z0-9_\-]+$")
class JsonlRunEventStore(RunEventStore):
def __init__(self, base_dir: str | Path | None = None):
self._base_dir = Path(base_dir) if base_dir else Path(".deer-flow")
self._seq_counters: dict[str, int] = {} # thread_id -> current max seq
@staticmethod
def _validate_id(value: str, label: str) -> str:
"""Validate that an ID is safe for use in filesystem paths."""
if not value or not _SAFE_ID_PATTERN.match(value):
raise ValueError(f"Invalid {label}: must be alphanumeric/dash/underscore, got {value!r}")
return value
def _thread_dir(self, thread_id: str) -> Path:
self._validate_id(thread_id, "thread_id")
return self._base_dir / "threads" / thread_id / "runs"
def _run_file(self, thread_id: str, run_id: str) -> Path:
self._validate_id(run_id, "run_id")
return self._thread_dir(thread_id) / f"{run_id}.jsonl"
def _next_seq(self, thread_id: str) -> int:
self._seq_counters[thread_id] = self._seq_counters.get(thread_id, 0) + 1
return self._seq_counters[thread_id]
def _ensure_seq_loaded(self, thread_id: str) -> None:
"""Load max seq from existing files if not yet cached."""
if thread_id in self._seq_counters:
return
max_seq = 0
thread_dir = self._thread_dir(thread_id)
if thread_dir.exists():
for f in thread_dir.glob("*.jsonl"):
for line in f.read_text(encoding="utf-8").strip().splitlines():
try:
record = json.loads(line)
max_seq = max(max_seq, record.get("seq", 0))
except json.JSONDecodeError:
logger.debug("Skipping malformed JSONL line in %s", f)
continue
self._seq_counters[thread_id] = max_seq
def _write_record(self, record: dict) -> None:
path = self._run_file(record["thread_id"], record["run_id"])
path.parent.mkdir(parents=True, exist_ok=True)
with open(path, "a", encoding="utf-8") as f:
f.write(json.dumps(record, default=str, ensure_ascii=False) + "\n")
def _read_thread_events(self, thread_id: str) -> list[dict]:
"""Read all events for a thread, sorted by seq."""
events = []
thread_dir = self._thread_dir(thread_id)
if not thread_dir.exists():
return events
for f in sorted(thread_dir.glob("*.jsonl")):
for line in f.read_text(encoding="utf-8").strip().splitlines():
if not line:
continue
try:
events.append(json.loads(line))
except json.JSONDecodeError:
logger.debug("Skipping malformed JSONL line in %s", f)
continue
events.sort(key=lambda e: e.get("seq", 0))
return events
def _read_run_events(self, thread_id: str, run_id: str) -> list[dict]:
"""Read events for a specific run file."""
path = self._run_file(thread_id, run_id)
if not path.exists():
return []
events = []
for line in path.read_text(encoding="utf-8").strip().splitlines():
if not line:
continue
try:
events.append(json.loads(line))
except json.JSONDecodeError:
logger.debug("Skipping malformed JSONL line in %s", path)
continue
events.sort(key=lambda e: e.get("seq", 0))
return events
async def put(self, *, thread_id, run_id, event_type, category, content="", metadata=None, created_at=None):
self._ensure_seq_loaded(thread_id)
seq = self._next_seq(thread_id)
record = {
"thread_id": thread_id,
"run_id": run_id,
"event_type": event_type,
"category": category,
"content": content,
"metadata": metadata or {},
"seq": seq,
"created_at": created_at or datetime.now(UTC).isoformat(),
}
self._write_record(record)
return record
async def put_batch(self, events):
if not events:
return []
results = []
for ev in events:
record = await self.put(**ev)
results.append(record)
return results
async def list_messages(self, thread_id, *, limit=50, before_seq=None, after_seq=None):
all_events = self._read_thread_events(thread_id)
messages = [e for e in all_events if e.get("category") == "message"]
if before_seq is not None:
messages = [e for e in messages if e["seq"] < before_seq]
return messages[-limit:]
elif after_seq is not None:
messages = [e for e in messages if e["seq"] > after_seq]
return messages[:limit]
else:
return messages[-limit:]
async def list_events(self, thread_id, run_id, *, event_types=None, limit=500):
events = self._read_run_events(thread_id, run_id)
if event_types is not None:
events = [e for e in events if e.get("event_type") in event_types]
return events[:limit]
async def list_messages_by_run(self, thread_id, run_id):
events = self._read_run_events(thread_id, run_id)
return [e for e in events if e.get("category") == "message"]
async def count_messages(self, thread_id):
all_events = self._read_thread_events(thread_id)
return sum(1 for e in all_events if e.get("category") == "message")
async def delete_by_thread(self, thread_id):
all_events = self._read_thread_events(thread_id)
count = len(all_events)
thread_dir = self._thread_dir(thread_id)
if thread_dir.exists():
for f in thread_dir.glob("*.jsonl"):
f.unlink()
self._seq_counters.pop(thread_id, None)
return count
async def delete_by_run(self, thread_id, run_id):
events = self._read_run_events(thread_id, run_id)
count = len(events)
path = self._run_file(thread_id, run_id)
if path.exists():
path.unlink()
return count
@@ -0,0 +1,120 @@
"""In-memory RunEventStore. Used when run_events.backend=memory (default) and in tests.
Thread-safe for single-process async usage (no threading locks needed
since all mutations happen within the same event loop).
"""
from __future__ import annotations
from datetime import UTC, datetime
from deerflow.runtime.events.store.base import RunEventStore
class MemoryRunEventStore(RunEventStore):
def __init__(self) -> None:
self._events: dict[str, list[dict]] = {} # thread_id -> sorted event list
self._seq_counters: dict[str, int] = {} # thread_id -> last assigned seq
def _next_seq(self, thread_id: str) -> int:
current = self._seq_counters.get(thread_id, 0)
next_val = current + 1
self._seq_counters[thread_id] = next_val
return next_val
def _put_one(
self,
*,
thread_id: str,
run_id: str,
event_type: str,
category: str,
content: str | dict = "",
metadata: dict | None = None,
created_at: str | None = None,
) -> dict:
seq = self._next_seq(thread_id)
record = {
"thread_id": thread_id,
"run_id": run_id,
"event_type": event_type,
"category": category,
"content": content,
"metadata": metadata or {},
"seq": seq,
"created_at": created_at or datetime.now(UTC).isoformat(),
}
self._events.setdefault(thread_id, []).append(record)
return record
async def put(
self,
*,
thread_id,
run_id,
event_type,
category,
content="",
metadata=None,
created_at=None,
):
return self._put_one(
thread_id=thread_id,
run_id=run_id,
event_type=event_type,
category=category,
content=content,
metadata=metadata,
created_at=created_at,
)
async def put_batch(self, events):
results = []
for ev in events:
record = self._put_one(**ev)
results.append(record)
return results
async def list_messages(self, thread_id, *, limit=50, before_seq=None, after_seq=None):
all_events = self._events.get(thread_id, [])
messages = [e for e in all_events if e["category"] == "message"]
if before_seq is not None:
messages = [e for e in messages if e["seq"] < before_seq]
# Take the last `limit` records
return messages[-limit:]
elif after_seq is not None:
messages = [e for e in messages if e["seq"] > after_seq]
return messages[:limit]
else:
# Return the latest `limit` records, ascending
return messages[-limit:]
async def list_events(self, thread_id, run_id, *, event_types=None, limit=500):
all_events = self._events.get(thread_id, [])
filtered = [e for e in all_events if e["run_id"] == run_id]
if event_types is not None:
filtered = [e for e in filtered if e["event_type"] in event_types]
return filtered[:limit]
async def list_messages_by_run(self, thread_id, run_id):
all_events = self._events.get(thread_id, [])
return [e for e in all_events if e["run_id"] == run_id and e["category"] == "message"]
async def count_messages(self, thread_id):
all_events = self._events.get(thread_id, [])
return sum(1 for e in all_events if e["category"] == "message")
async def delete_by_thread(self, thread_id):
events = self._events.pop(thread_id, [])
self._seq_counters.pop(thread_id, None)
return len(events)
async def delete_by_run(self, thread_id, run_id):
all_events = self._events.get(thread_id, [])
if not all_events:
return 0
remaining = [e for e in all_events if e["run_id"] != run_id]
removed = len(all_events) - len(remaining)
self._events[thread_id] = remaining
return removed
@@ -0,0 +1,471 @@
"""Run event capture via LangChain callbacks.
RunJournal sits between LangChain's callback mechanism and the pluggable
RunEventStore. It standardizes callback data into RunEvent records and
handles token usage accumulation.
Key design decisions:
- on_llm_new_token is NOT implemented -- only complete messages via on_llm_end
- on_chat_model_start captures structured prompts as llm_request (OpenAI format)
- on_llm_end emits llm_response in OpenAI Chat Completions format
- Token usage accumulated in memory, written to RunRow on run completion
- Caller identification via tags injection (lead_agent / subagent:{name} / middleware:{name})
"""
from __future__ import annotations
import asyncio
import logging
import time
from datetime import UTC, datetime
from typing import TYPE_CHECKING, Any
from uuid import UUID
from langchain_core.callbacks import BaseCallbackHandler
if TYPE_CHECKING:
from deerflow.runtime.events.store.base import RunEventStore
logger = logging.getLogger(__name__)
class RunJournal(BaseCallbackHandler):
"""LangChain callback handler that captures events to RunEventStore."""
def __init__(
self,
run_id: str,
thread_id: str,
event_store: RunEventStore,
*,
track_token_usage: bool = True,
flush_threshold: int = 20,
):
super().__init__()
self.run_id = run_id
self.thread_id = thread_id
self._store = event_store
self._track_tokens = track_token_usage
self._flush_threshold = flush_threshold
# Write buffer
self._buffer: list[dict] = []
# Token accumulators
self._total_input_tokens = 0
self._total_output_tokens = 0
self._total_tokens = 0
self._llm_call_count = 0
self._lead_agent_tokens = 0
self._subagent_tokens = 0
self._middleware_tokens = 0
# Convenience fields
self._last_ai_msg: str | None = None
self._first_human_msg: str | None = None
self._msg_count = 0
# Latency tracking
self._llm_start_times: dict[str, float] = {} # langchain run_id -> start time
# LLM request/response tracking
self._llm_call_index = 0
self._cached_prompts: dict[str, list[dict]] = {} # langchain run_id -> OpenAI messages
self._cached_models: dict[str, str] = {} # langchain run_id -> model name
# Tool call ID cache
self._tool_call_ids: dict[str, str] = {} # langchain run_id -> tool_call_id
# -- Lifecycle callbacks --
def on_chain_start(self, serialized: dict, inputs: Any, *, run_id: UUID, **kwargs: Any) -> None:
if kwargs.get("parent_run_id") is not None:
return
self._put(
event_type="run_start",
category="lifecycle",
metadata={"input_preview": str(inputs)[:500]},
)
def on_chain_end(self, outputs: Any, *, run_id: UUID, **kwargs: Any) -> None:
if kwargs.get("parent_run_id") is not None:
return
self._put(event_type="run_end", category="lifecycle", metadata={"status": "success"})
self._flush_sync()
def on_chain_error(self, error: BaseException, *, run_id: UUID, **kwargs: Any) -> None:
if kwargs.get("parent_run_id") is not None:
return
self._put(
event_type="run_error",
category="lifecycle",
content=str(error),
metadata={"error_type": type(error).__name__},
)
self._flush_sync()
# -- LLM callbacks --
def on_chat_model_start(self, serialized: dict, messages: list[list], *, run_id: UUID, **kwargs: Any) -> None:
"""Capture structured prompt messages for llm_request event."""
from deerflow.runtime.converters import langchain_messages_to_openai
rid = str(run_id)
self._llm_start_times[rid] = time.monotonic()
self._llm_call_index += 1
model_name = serialized.get("name", "")
self._cached_models[rid] = model_name
# Convert the first message list (LangChain passes list-of-lists)
prompt_msgs = messages[0] if messages else []
openai_msgs = langchain_messages_to_openai(prompt_msgs)
self._cached_prompts[rid] = openai_msgs
caller = self._identify_caller(kwargs)
self._put(
event_type="llm_request",
category="trace",
content={"model": model_name, "messages": openai_msgs},
metadata={"caller": caller, "llm_call_index": self._llm_call_index},
)
def on_llm_start(self, serialized: dict, prompts: list[str], *, run_id: UUID, **kwargs: Any) -> None:
# Fallback: on_chat_model_start is preferred. This just tracks latency.
self._llm_start_times[str(run_id)] = time.monotonic()
def on_llm_end(self, response: Any, *, run_id: UUID, **kwargs: Any) -> None:
from deerflow.runtime.converters import langchain_to_openai_completion
try:
message = response.generations[0][0].message
except (IndexError, AttributeError):
logger.debug("on_llm_end: could not extract message from response")
return
caller = self._identify_caller(kwargs)
# Latency
rid = str(run_id)
start = self._llm_start_times.pop(rid, None)
latency_ms = int((time.monotonic() - start) * 1000) if start else None
# Token usage from message
usage = getattr(message, "usage_metadata", None)
usage_dict = dict(usage) if usage else {}
# Resolve call index
call_index = self._llm_call_index
if rid not in self._cached_prompts:
# Fallback: on_chat_model_start was not called
self._llm_call_index += 1
call_index = self._llm_call_index
# Clean up caches
self._cached_prompts.pop(rid, None)
self._cached_models.pop(rid, None)
# Trace event: llm_response (OpenAI completion format)
content = getattr(message, "content", "")
self._put(
event_type="llm_response",
category="trace",
content=langchain_to_openai_completion(message),
metadata={
"caller": caller,
"usage": usage_dict,
"latency_ms": latency_ms,
"llm_call_index": call_index,
},
)
# Message events: only lead_agent gets message-category events.
# Content uses message.model_dump() to align with checkpoint format.
tool_calls = getattr(message, "tool_calls", None) or []
if caller == "lead_agent":
resp_meta = getattr(message, "response_metadata", None) or {}
model_name = resp_meta.get("model_name") if isinstance(resp_meta, dict) else None
if tool_calls:
# ai_tool_call: agent decided to use tools
self._put(
event_type="ai_tool_call",
category="message",
content=message.model_dump(),
metadata={"model_name": model_name, "finish_reason": "tool_calls"},
)
elif isinstance(content, str) and content:
# ai_message: final text reply
self._put(
event_type="ai_message",
category="message",
content=message.model_dump(),
metadata={"model_name": model_name, "finish_reason": "stop"},
)
self._last_ai_msg = content
self._msg_count += 1
# Token accumulation
if self._track_tokens:
input_tk = usage_dict.get("input_tokens", 0) or 0
output_tk = usage_dict.get("output_tokens", 0) or 0
total_tk = usage_dict.get("total_tokens", 0) or 0
if total_tk == 0:
total_tk = input_tk + output_tk
if total_tk > 0:
self._total_input_tokens += input_tk
self._total_output_tokens += output_tk
self._total_tokens += total_tk
self._llm_call_count += 1
if caller.startswith("subagent:"):
self._subagent_tokens += total_tk
elif caller.startswith("middleware:"):
self._middleware_tokens += total_tk
else:
self._lead_agent_tokens += total_tk
def on_llm_error(self, error: BaseException, *, run_id: UUID, **kwargs: Any) -> None:
self._llm_start_times.pop(str(run_id), None)
self._put(event_type="llm_error", category="trace", content=str(error))
# -- Tool callbacks --
def on_tool_start(self, serialized: dict, input_str: str, *, run_id: UUID, **kwargs: Any) -> None:
tool_call_id = kwargs.get("tool_call_id")
if tool_call_id:
self._tool_call_ids[str(run_id)] = tool_call_id
self._put(
event_type="tool_start",
category="trace",
metadata={
"tool_name": serialized.get("name", ""),
"tool_call_id": tool_call_id,
"args": str(input_str)[:2000],
},
)
def on_tool_end(self, output: Any, *, run_id: UUID, **kwargs: Any) -> None:
from langchain_core.messages import ToolMessage
# Extract fields from ToolMessage object when LangChain provides one.
# LangChain's _format_output wraps tool results into a ToolMessage
# with tool_call_id, name, status, and artifact — more complete than
# what kwargs alone provides.
if isinstance(output, ToolMessage):
tool_call_id = output.tool_call_id or kwargs.get("tool_call_id") or self._tool_call_ids.pop(str(run_id), None)
tool_name = output.name or kwargs.get("name", "")
status = getattr(output, "status", "success") or "success"
content_str = output.content if isinstance(output.content, str) else str(output.content)
# Use model_dump() for checkpoint-aligned message content.
# Override tool_call_id if it was resolved from cache.
msg_content = output.model_dump()
if msg_content.get("tool_call_id") != tool_call_id:
msg_content["tool_call_id"] = tool_call_id
else:
tool_call_id = kwargs.get("tool_call_id") or self._tool_call_ids.pop(str(run_id), None)
tool_name = kwargs.get("name", "")
status = "success"
content_str = str(output)
# Construct checkpoint-aligned dict when output is a plain string.
msg_content = ToolMessage(
content=content_str,
tool_call_id=tool_call_id or "",
name=tool_name,
status=status,
).model_dump()
# Trace event (always)
self._put(
event_type="tool_end",
category="trace",
content=content_str,
metadata={
"tool_name": tool_name,
"tool_call_id": tool_call_id,
"status": status,
},
)
# Message event: tool_result (checkpoint-aligned model_dump format)
self._put(
event_type="tool_result",
category="message",
content=msg_content,
metadata={"tool_name": tool_name, "status": status},
)
def on_tool_error(self, error: BaseException, *, run_id: UUID, **kwargs: Any) -> None:
from langchain_core.messages import ToolMessage
tool_call_id = kwargs.get("tool_call_id") or self._tool_call_ids.pop(str(run_id), None)
tool_name = kwargs.get("name", "")
# Trace event
self._put(
event_type="tool_error",
category="trace",
content=str(error),
metadata={
"tool_name": tool_name,
"tool_call_id": tool_call_id,
},
)
# Message event: tool_result with error status (checkpoint-aligned)
msg_content = ToolMessage(
content=str(error),
tool_call_id=tool_call_id or "",
name=tool_name,
status="error",
).model_dump()
self._put(
event_type="tool_result",
category="message",
content=msg_content,
metadata={"tool_name": tool_name, "status": "error"},
)
# -- Custom event callback --
def on_custom_event(self, name: str, data: Any, *, run_id: UUID, **kwargs: Any) -> None:
from deerflow.runtime.serialization import serialize_lc_object
if name == "summarization":
data_dict = data if isinstance(data, dict) else {}
self._put(
event_type="summarization",
category="trace",
content=data_dict.get("summary", ""),
metadata={
"replaced_message_ids": data_dict.get("replaced_message_ids", []),
"replaced_count": data_dict.get("replaced_count", 0),
},
)
self._put(
event_type="middleware:summarize",
category="middleware",
content={"role": "system", "content": data_dict.get("summary", "")},
metadata={"replaced_count": data_dict.get("replaced_count", 0)},
)
else:
event_data = serialize_lc_object(data) if not isinstance(data, dict) else data
self._put(
event_type=name,
category="trace",
metadata=event_data if isinstance(event_data, dict) else {"data": event_data},
)
# -- Internal methods --
def _put(self, *, event_type: str, category: str, content: str | dict = "", metadata: dict | None = None) -> None:
self._buffer.append(
{
"thread_id": self.thread_id,
"run_id": self.run_id,
"event_type": event_type,
"category": category,
"content": content,
"metadata": metadata or {},
"created_at": datetime.now(UTC).isoformat(),
}
)
if len(self._buffer) >= self._flush_threshold:
self._flush_sync()
def _flush_sync(self) -> None:
"""Best-effort flush of buffer to RunEventStore.
BaseCallbackHandler methods are synchronous. If an event loop is
running we schedule an async ``put_batch``; otherwise the events
stay in the buffer and are flushed later by the async ``flush()``
call in the worker's ``finally`` block.
"""
if not self._buffer:
return
try:
loop = asyncio.get_running_loop()
except RuntimeError:
# No event loop — keep events in buffer for later async flush.
return
batch = self._buffer.copy()
self._buffer.clear()
task = loop.create_task(self._flush_async(batch))
task.add_done_callback(self._on_flush_done)
async def _flush_async(self, batch: list[dict]) -> None:
try:
await self._store.put_batch(batch)
except Exception:
logger.warning(
"Failed to flush %d events for run %s — returning to buffer",
len(batch),
self.run_id,
exc_info=True,
)
# Return failed events to buffer for retry on next flush
self._buffer = batch + self._buffer
@staticmethod
def _on_flush_done(task: asyncio.Task) -> None:
if task.cancelled():
return
exc = task.exception()
if exc:
logger.warning("Journal flush task failed: %s", exc)
def _identify_caller(self, kwargs: dict) -> str:
for tag in kwargs.get("tags") or []:
if isinstance(tag, str) and (tag.startswith("subagent:") or tag.startswith("middleware:") or tag == "lead_agent"):
return tag
# Default to lead_agent: the main agent graph does not inject
# callback tags, while subagents and middleware explicitly tag
# themselves.
return "lead_agent"
# -- Public methods (called by worker) --
def set_first_human_message(self, content: str) -> None:
"""Record the first human message for convenience fields."""
self._first_human_msg = content[:2000] if content else None
def record_middleware(self, tag: str, *, name: str, hook: str, action: str, changes: dict) -> None:
"""Record a middleware state-change event.
Called by middleware implementations when they perform a meaningful
state change (e.g., title generation, summarization, HITL approval).
Pure-observation middleware should not call this.
Args:
tag: Short identifier for the middleware (e.g., "title", "summarize",
"guardrail"). Used to form event_type="middleware:{tag}".
name: Full middleware class name.
hook: Lifecycle hook that triggered the action (e.g., "after_model").
action: Specific action performed (e.g., "generate_title").
changes: Dict describing the state changes made.
"""
self._put(
event_type=f"middleware:{tag}",
category="middleware",
content={"name": name, "hook": hook, "action": action, "changes": changes},
)
async def flush(self) -> None:
"""Force flush remaining buffer. Called in worker's finally block."""
if self._buffer:
batch = self._buffer.copy()
self._buffer.clear()
await self._store.put_batch(batch)
def get_completion_data(self) -> dict:
"""Return accumulated token and message data for run completion."""
return {
"total_input_tokens": self._total_input_tokens,
"total_output_tokens": self._total_output_tokens,
"total_tokens": self._total_tokens,
"llm_call_count": self._llm_call_count,
"lead_agent_tokens": self._lead_agent_tokens,
"subagent_tokens": self._subagent_tokens,
"middleware_tokens": self._middleware_tokens,
"message_count": self._msg_count,
"last_ai_message": self._last_ai_msg,
"first_human_message": self._first_human_msg,
}
@@ -2,11 +2,12 @@
from .manager import ConflictError, RunManager, RunRecord, UnsupportedStrategyError
from .schemas import DisconnectMode, RunStatus
from .worker import run_agent
from .worker import RunContext, run_agent
__all__ = [
"ConflictError",
"DisconnectMode",
"RunContext",
"RunManager",
"RunRecord",
"RunStatus",
@@ -1,4 +1,4 @@
"""In-memory run registry."""
"""In-memory run registry with optional persistent RunStore backing."""
from __future__ import annotations
@@ -7,9 +7,13 @@ import logging
import uuid
from dataclasses import dataclass, field
from datetime import UTC, datetime
from typing import TYPE_CHECKING
from .schemas import DisconnectMode, RunStatus
if TYPE_CHECKING:
from deerflow.runtime.runs.store.base import RunStore
logger = logging.getLogger(__name__)
@@ -38,11 +42,44 @@ class RunRecord:
class RunManager:
"""In-memory run registry. All mutations are protected by an asyncio lock."""
"""In-memory run registry with optional persistent RunStore backing.
def __init__(self) -> None:
All mutations are protected by an asyncio lock. When a ``store`` is
provided, serializable metadata is also persisted to the store so
that run history survives process restarts.
"""
def __init__(self, store: RunStore | None = None) -> None:
self._runs: dict[str, RunRecord] = {}
self._lock = asyncio.Lock()
self._store = store
async def _persist_to_store(self, record: RunRecord, *, follow_up_to_run_id: str | None = None) -> None:
"""Best-effort persist run record to backing store."""
if self._store is None:
return
try:
await self._store.put(
record.run_id,
thread_id=record.thread_id,
assistant_id=record.assistant_id,
status=record.status.value,
multitask_strategy=record.multitask_strategy,
metadata=record.metadata or {},
kwargs=record.kwargs or {},
created_at=record.created_at,
follow_up_to_run_id=follow_up_to_run_id,
)
except Exception:
logger.warning("Failed to persist run %s to store", record.run_id, exc_info=True)
async def update_run_completion(self, run_id: str, **kwargs) -> None:
"""Persist token usage and completion data to the backing store."""
if self._store is not None:
try:
await self._store.update_run_completion(run_id, **kwargs)
except Exception:
logger.warning("Failed to persist run completion for %s", run_id, exc_info=True)
async def create(
self,
@@ -53,6 +90,7 @@ class RunManager:
metadata: dict | None = None,
kwargs: dict | None = None,
multitask_strategy: str = "reject",
follow_up_to_run_id: str | None = None,
) -> RunRecord:
"""Create a new pending run and register it."""
run_id = str(uuid.uuid4())
@@ -71,6 +109,7 @@ class RunManager:
)
async with self._lock:
self._runs[run_id] = record
await self._persist_to_store(record, follow_up_to_run_id=follow_up_to_run_id)
logger.info("Run created: run_id=%s thread_id=%s", run_id, thread_id)
return record
@@ -96,6 +135,11 @@ class RunManager:
record.updated_at = _now_iso()
if error is not None:
record.error = error
if self._store is not None:
try:
await self._store.update_status(run_id, status.value, error=error)
except Exception:
logger.warning("Failed to persist status update for run %s", run_id, exc_info=True)
logger.info("Run %s -> %s", run_id, status.value)
async def cancel(self, run_id: str, *, action: str = "interrupt") -> bool:
@@ -132,6 +176,7 @@ class RunManager:
metadata: dict | None = None,
kwargs: dict | None = None,
multitask_strategy: str = "reject",
follow_up_to_run_id: str | None = None,
) -> RunRecord:
"""Atomically check for inflight runs and create a new one.
@@ -185,6 +230,7 @@ class RunManager:
)
self._runs[run_id] = record
await self._persist_to_store(record, follow_up_to_run_id=follow_up_to_run_id)
logger.info("Run created: run_id=%s thread_id=%s", run_id, thread_id)
return record
@@ -0,0 +1,4 @@
from deerflow.runtime.runs.store.base import RunStore
from deerflow.runtime.runs.store.memory import MemoryRunStore
__all__ = ["MemoryRunStore", "RunStore"]
@@ -0,0 +1,96 @@
"""Abstract interface for run metadata storage.
RunManager depends on this interface. Implementations:
- MemoryRunStore: in-memory dict (development, tests)
- Future: RunRepository backed by SQLAlchemy ORM
All methods accept an optional owner_id for user isolation.
When owner_id is None, no user filtering is applied (single-user mode).
"""
from __future__ import annotations
import abc
from typing import Any
class RunStore(abc.ABC):
@abc.abstractmethod
async def put(
self,
run_id: str,
*,
thread_id: str,
assistant_id: str | None = None,
owner_id: str | None = None,
status: str = "pending",
multitask_strategy: str = "reject",
metadata: dict[str, Any] | None = None,
kwargs: dict[str, Any] | None = None,
error: str | None = None,
created_at: str | None = None,
follow_up_to_run_id: str | None = None,
) -> None:
pass
@abc.abstractmethod
async def get(self, run_id: str) -> dict[str, Any] | None:
pass
@abc.abstractmethod
async def list_by_thread(
self,
thread_id: str,
*,
owner_id: str | None = None,
limit: int = 100,
) -> list[dict[str, Any]]:
pass
@abc.abstractmethod
async def update_status(
self,
run_id: str,
status: str,
*,
error: str | None = None,
) -> None:
pass
@abc.abstractmethod
async def delete(self, run_id: str) -> None:
pass
@abc.abstractmethod
async def update_run_completion(
self,
run_id: str,
*,
status: str,
total_input_tokens: int = 0,
total_output_tokens: int = 0,
total_tokens: int = 0,
llm_call_count: int = 0,
lead_agent_tokens: int = 0,
subagent_tokens: int = 0,
middleware_tokens: int = 0,
message_count: int = 0,
last_ai_message: str | None = None,
first_human_message: str | None = None,
error: str | None = None,
) -> None:
pass
@abc.abstractmethod
async def list_pending(self, *, before: str | None = None) -> list[dict[str, Any]]:
pass
@abc.abstractmethod
async def aggregate_tokens_by_thread(self, thread_id: str) -> dict[str, Any]:
"""Aggregate token usage for completed runs in a thread.
Returns a dict with keys: total_tokens, total_input_tokens,
total_output_tokens, total_runs, by_model (model_name {tokens, runs}),
by_caller ({lead_agent, subagent, middleware}).
"""
pass
@@ -0,0 +1,100 @@
"""In-memory RunStore. Used when database.backend=memory (default) and in tests.
Equivalent to the original RunManager._runs dict behavior.
"""
from __future__ import annotations
from datetime import UTC, datetime
from typing import Any
from deerflow.runtime.runs.store.base import RunStore
class MemoryRunStore(RunStore):
def __init__(self) -> None:
self._runs: dict[str, dict[str, Any]] = {}
async def put(
self,
run_id,
*,
thread_id,
assistant_id=None,
owner_id=None,
status="pending",
multitask_strategy="reject",
metadata=None,
kwargs=None,
error=None,
created_at=None,
follow_up_to_run_id=None,
):
now = datetime.now(UTC).isoformat()
self._runs[run_id] = {
"run_id": run_id,
"thread_id": thread_id,
"assistant_id": assistant_id,
"owner_id": owner_id,
"status": status,
"multitask_strategy": multitask_strategy,
"metadata": metadata or {},
"kwargs": kwargs or {},
"error": error,
"follow_up_to_run_id": follow_up_to_run_id,
"created_at": created_at or now,
"updated_at": now,
}
async def get(self, run_id):
return self._runs.get(run_id)
async def list_by_thread(self, thread_id, *, owner_id=None, limit=100):
results = [r for r in self._runs.values() if r["thread_id"] == thread_id and (owner_id is None or r.get("owner_id") == owner_id)]
results.sort(key=lambda r: r["created_at"], reverse=True)
return results[:limit]
async def update_status(self, run_id, status, *, error=None):
if run_id in self._runs:
self._runs[run_id]["status"] = status
if error is not None:
self._runs[run_id]["error"] = error
self._runs[run_id]["updated_at"] = datetime.now(UTC).isoformat()
async def delete(self, run_id):
self._runs.pop(run_id, None)
async def update_run_completion(self, run_id, *, status, **kwargs):
if run_id in self._runs:
self._runs[run_id]["status"] = status
for key, value in kwargs.items():
if value is not None:
self._runs[run_id][key] = value
self._runs[run_id]["updated_at"] = datetime.now(UTC).isoformat()
async def list_pending(self, *, before=None):
now = before or datetime.now(UTC).isoformat()
results = [r for r in self._runs.values() if r["status"] == "pending" and r["created_at"] <= now]
results.sort(key=lambda r: r["created_at"])
return results
async def aggregate_tokens_by_thread(self, thread_id: str) -> dict[str, Any]:
completed = [r for r in self._runs.values() if r["thread_id"] == thread_id and r.get("status") in ("success", "error")]
by_model: dict[str, dict] = {}
for r in completed:
model = r.get("model_name") or "unknown"
entry = by_model.setdefault(model, {"tokens": 0, "runs": 0})
entry["tokens"] += r.get("total_tokens", 0)
entry["runs"] += 1
return {
"total_tokens": sum(r.get("total_tokens", 0) for r in completed),
"total_input_tokens": sum(r.get("total_input_tokens", 0) for r in completed),
"total_output_tokens": sum(r.get("total_output_tokens", 0) for r in completed),
"total_runs": len(completed),
"by_model": by_model,
"by_caller": {
"lead_agent": sum(r.get("lead_agent_tokens", 0) for r in completed),
"subagent": sum(r.get("subagent_tokens", 0) for r in completed),
"middleware": sum(r.get("middleware_tokens", 0) for r in completed),
},
}
@@ -19,7 +19,11 @@ import asyncio
import copy
import inspect
import logging
from typing import Any, Literal
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Literal
if TYPE_CHECKING:
from langchain_core.messages import HumanMessage
from deerflow.runtime.serialization import serialize
from deerflow.runtime.stream_bridge import StreamBridge
@@ -33,13 +37,29 @@ logger = logging.getLogger(__name__)
_VALID_LG_MODES = {"values", "updates", "checkpoints", "tasks", "debug", "messages", "custom"}
@dataclass(frozen=True)
class RunContext:
"""Infrastructure dependencies for a single agent run.
Groups checkpointer, store, and persistence-related singletons so that
``run_agent`` (and any future callers) receive one object instead of a
growing list of keyword arguments.
"""
checkpointer: Any
store: Any | None = field(default=None)
event_store: Any | None = field(default=None)
run_events_config: Any | None = field(default=None)
thread_meta_repo: Any | None = field(default=None)
follow_up_to_run_id: str | None = field(default=None)
async def run_agent(
bridge: StreamBridge,
run_manager: RunManager,
record: RunRecord,
*,
checkpointer: Any,
store: Any | None = None,
ctx: RunContext,
agent_factory: Any,
graph_input: dict,
config: dict,
@@ -50,6 +70,14 @@ async def run_agent(
) -> None:
"""Execute an agent in the background, publishing events to *bridge*."""
# Unpack infrastructure dependencies from RunContext.
checkpointer = ctx.checkpointer
store = ctx.store
event_store = ctx.event_store
run_events_config = ctx.run_events_config
thread_meta_repo = ctx.thread_meta_repo
follow_up_to_run_id = ctx.follow_up_to_run_id
run_id = record.run_id
thread_id = record.thread_id
requested_modes: set[str] = set(stream_modes or ["values"])
@@ -57,6 +85,35 @@ async def run_agent(
pre_run_snapshot: dict[str, Any] | None = None
snapshot_capture_failed = False
# Initialize RunJournal for event capture
journal = None
if event_store is not None:
from deerflow.runtime.journal import RunJournal
journal = RunJournal(
run_id=run_id,
thread_id=thread_id,
event_store=event_store,
track_token_usage=getattr(run_events_config, "track_token_usage", True),
)
# Write human_message event (model_dump format, aligned with checkpoint)
human_msg = _extract_human_message(graph_input)
if human_msg is not None:
msg_metadata = {}
if follow_up_to_run_id:
msg_metadata["follow_up_to_run_id"] = follow_up_to_run_id
await event_store.put(
thread_id=thread_id,
run_id=run_id,
event_type="human_message",
category="message",
content=human_msg.model_dump(),
metadata=msg_metadata or None,
)
content = human_msg.content
journal.set_first_human_message(content if isinstance(content, str) else str(content))
# Track whether "events" was requested but skipped
if "events" in requested_modes:
logger.info(
@@ -110,6 +167,11 @@ async def run_agent(
config["context"].setdefault("thread_id", thread_id)
config.setdefault("configurable", {})["__pregel_runtime"] = runtime
# Inject RunJournal as a LangChain callback handler.
# on_llm_end captures token usage; on_chain_start/end captures lifecycle.
if journal is not None:
config.setdefault("callbacks", []).append(journal)
runnable_config = RunnableConfig(**config)
agent = agent_factory(config=runnable_config)
@@ -236,6 +298,37 @@ async def run_agent(
)
finally:
# Flush any buffered journal events and persist completion data
if journal is not None:
try:
await journal.flush()
except Exception:
logger.warning("Failed to flush journal for run %s", run_id, exc_info=True)
# Persist token usage + convenience fields to RunStore
completion = journal.get_completion_data()
await run_manager.update_run_completion(run_id, status=record.status.value, **completion)
# Sync title from checkpoint to threads_meta.display_name
if checkpointer is not None:
try:
ckpt_config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
ckpt_tuple = await checkpointer.aget_tuple(ckpt_config)
if ckpt_tuple is not None:
ckpt = getattr(ckpt_tuple, "checkpoint", {}) or {}
title = ckpt.get("channel_values", {}).get("title")
if title:
await thread_meta_repo.update_display_name(thread_id, title)
except Exception:
logger.debug("Failed to sync title for thread %s (non-fatal)", thread_id)
# Update threads_meta status based on run outcome
try:
final_status = "idle" if record.status == RunStatus.success else record.status.value
await thread_meta_repo.update_status(thread_id, final_status)
except Exception:
logger.debug("Failed to update thread_meta status for %s (non-fatal)", thread_id)
await bridge.publish_end(run_id)
asyncio.create_task(bridge.cleanup(run_id, delay=60))
@@ -355,6 +448,31 @@ def _lg_mode_to_sse_event(mode: str) -> str:
return mode
def _extract_human_message(graph_input: dict) -> HumanMessage | None:
"""Extract or construct a HumanMessage from graph_input for event recording.
Returns a LangChain HumanMessage so callers can use .model_dump() to get
the checkpoint-aligned serialization format.
"""
from langchain_core.messages import HumanMessage
messages = graph_input.get("messages")
if not messages:
return None
last = messages[-1] if isinstance(messages, list) else messages
if isinstance(last, HumanMessage):
return last
if isinstance(last, str):
return HumanMessage(content=last) if last else None
if hasattr(last, "content"):
content = last.content
return HumanMessage(content=content)
if isinstance(last, dict):
content = last.get("content", "")
return HumanMessage(content=content) if content else None
return None
def _unpack_stream_item(
item: Any,
lg_modes: list[str],
@@ -0,0 +1,148 @@
"""Request-scoped user context for owner-based authorization.
This module holds a :class:`~contextvars.ContextVar` that the gateway's
auth middleware sets after a successful authentication. Repository
methods read the contextvar via a sentinel default parameter, letting
routers stay free of ``owner_id`` boilerplate.
Three-state semantics for the repository ``owner_id`` parameter (the
consumer side of this module lives in ``deerflow.persistence.*``):
- ``_AUTO`` (module-private sentinel, default): read from contextvar;
raise :class:`RuntimeError` if unset.
- Explicit ``str``: use the provided value, overriding contextvar.
- Explicit ``None``: no WHERE clause used only by migration scripts
and admin CLIs that intentionally bypass isolation.
Dependency direction
--------------------
``persistence`` (lower layer) reads from this module; ``gateway.auth``
(higher layer) writes to it. ``CurrentUser`` is defined here as a
:class:`typing.Protocol` so that ``persistence`` never needs to import
the concrete ``User`` class from ``gateway.auth.models``. Any object
with an ``.id: str`` attribute structurally satisfies the protocol.
Asyncio semantics
-----------------
``ContextVar`` is task-local under asyncio, not thread-local. Each
FastAPI request runs in its own task, so the context is naturally
isolated. ``asyncio.create_task`` and ``asyncio.to_thread`` inherit the
parent task's context, which is typically the intended behaviour; if
a background task must *not* see the foreground user, wrap it with
``contextvars.copy_context()`` to get a clean copy.
"""
from __future__ import annotations
from contextvars import ContextVar, Token
from typing import Final, Protocol, runtime_checkable
@runtime_checkable
class CurrentUser(Protocol):
"""Structural type for the current authenticated user.
Any object with an ``.id: str`` attribute satisfies this protocol.
Concrete implementations live in ``app.gateway.auth.models.User``.
"""
id: str
_current_user: Final[ContextVar[CurrentUser | None]] = ContextVar("deerflow_current_user", default=None)
def set_current_user(user: CurrentUser) -> Token[CurrentUser | None]:
"""Set the current user for this async task.
Returns a reset token that should be passed to
:func:`reset_current_user` in a ``finally`` block to restore the
previous context.
"""
return _current_user.set(user)
def reset_current_user(token: Token[CurrentUser | None]) -> None:
"""Restore the context to the state captured by ``token``."""
_current_user.reset(token)
def get_current_user() -> CurrentUser | None:
"""Return the current user, or ``None`` if unset.
Safe to call in any context. Used by code paths that can proceed
without a user (e.g. migration scripts, public endpoints).
"""
return _current_user.get()
def require_current_user() -> CurrentUser:
"""Return the current user, or raise :class:`RuntimeError`.
Used by repository code that must not be called outside a
request-authenticated context. The error message is phrased so
that a caller debugging a stack trace can locate the offending
code path.
"""
user = _current_user.get()
if user is None:
raise RuntimeError("repository accessed without user context")
return user
# ---------------------------------------------------------------------------
# Sentinel-based owner_id resolution
# ---------------------------------------------------------------------------
#
# Repository methods accept an ``owner_id`` keyword-only argument that
# defaults to ``AUTO``. The three possible values drive distinct
# behaviours; see the docstring on :func:`resolve_owner_id`.
class _AutoSentinel:
"""Singleton marker meaning 'resolve owner_id from contextvar'."""
_instance: _AutoSentinel | None = None
def __new__(cls) -> _AutoSentinel:
if cls._instance is None:
cls._instance = super().__new__(cls)
return cls._instance
def __repr__(self) -> str:
return "<AUTO>"
AUTO: Final[_AutoSentinel] = _AutoSentinel()
def resolve_owner_id(
value: str | None | _AutoSentinel,
*,
method_name: str = "repository method",
) -> str | None:
"""Resolve the owner_id parameter passed to a repository method.
Three-state semantics:
- :data:`AUTO` (default): read from contextvar; raise
:class:`RuntimeError` if no user is in context. This is the
common case for request-scoped calls.
- Explicit ``str``: use the provided id verbatim, overriding any
contextvar value. Useful for tests and admin-override flows.
- Explicit ``None``: no filter the repository should skip the
owner_id WHERE clause entirely. Reserved for migration scripts
and CLI tools that intentionally bypass isolation.
"""
if isinstance(value, _AutoSentinel):
user = _current_user.get()
if user is None:
raise RuntimeError(f"{method_name} called with owner_id=AUTO but no user context is set; pass an explicit owner_id, set the contextvar via auth middleware, or opt out with owner_id=None for migration/CLI paths.")
# Coerce to ``str`` at the boundary: ``User.id`` is typed as
# ``UUID`` for the API surface, but the persistence layer
# stores ``owner_id`` as ``String(64)`` and aiosqlite cannot
# bind a raw UUID object to a VARCHAR column ("type 'UUID' is
# not supported"). Honour the documented return type here
# rather than ripple a type change through every caller.
return str(user.id)
return value
+9
View File
@@ -33,10 +33,19 @@ dependencies = [
"langchain-google-genai>=4.2.1",
"langgraph-checkpoint-sqlite>=3.0.3",
"langgraph-sdk>=0.1.51",
"sqlalchemy[asyncio]>=2.0,<3.0",
"aiosqlite>=0.19",
"alembic>=1.13",
]
[project.optional-dependencies]
ollama = ["langchain-ollama>=0.3.0"]
postgres = [
"asyncpg>=0.29",
"langgraph-checkpoint-postgres>=3.0.5",
"psycopg[binary]>=3.3.3",
"psycopg-pool>=3.3.0",
]
pymupdf = ["pymupdf4llm>=0.0.17"]
[build-system]
+13
View File
@@ -17,11 +17,24 @@ dependencies = [
"langgraph-sdk>=0.1.51",
"markdown-to-mrkdwn>=0.3.1",
"wecom-aibot-python-sdk>=0.1.6",
"bcrypt>=4.0.0",
"pyjwt>=2.9.0",
"email-validator>=2.0.0",
]
[project.optional-dependencies]
postgres = [
"deerflow-harness[postgres]",
]
[dependency-groups]
dev = ["pytest>=8.0.0", "ruff>=0.14.11"]
[tool.pytest.ini_options]
markers = [
"no_auto_user: disable the conftest autouse contextvar fixture for this test",
]
[tool.uv.workspace]
members = ["packages/harness"]
+134
View File
@@ -0,0 +1,134 @@
"""Helpers for router-level tests that need a stubbed auth context.
The production gateway runs ``AuthMiddleware`` (validates the JWT cookie)
ahead of every router, plus ``@require_permission(owner_check=True)``
decorators that read ``request.state.auth`` and call
``thread_meta_repo.check_access``. Router-level unit tests construct
**bare** FastAPI apps that include only one router they have neither
the auth middleware nor a real thread_meta_repo, so the decorators raise
401 (TestClient path) or ValueError (direct-call path).
This module provides two surfaces:
1. :func:`make_authed_test_app` wraps ``FastAPI()`` with a tiny
``BaseHTTPMiddleware`` that stamps a fake user / AuthContext on every
request, plus a permissive ``thread_meta_repo`` mock on
``app.state``. Use from TestClient-based router tests.
2. :func:`call_unwrapped` invokes the underlying function bypassing
the ``@require_permission`` decorator chain by walking ``__wrapped__``.
Use from direct-call tests that previously imported the route
function and called it positionally.
Both helpers are deliberately permissive: they never deny a request.
Tests that want to verify the *auth boundary itself* (e.g.
``test_auth_middleware``, ``test_auth_type_system``) build their own
apps with the real middleware those should not use this module.
"""
from __future__ import annotations
from collections.abc import Callable
from typing import ParamSpec, TypeVar
from unittest.mock import AsyncMock, MagicMock
from uuid import uuid4
from fastapi import FastAPI, Request, Response
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.types import ASGIApp
from app.gateway.auth.models import User
from app.gateway.authz import AuthContext, Permissions
# Default permission set granted to the stub user. Mirrors `_ALL_PERMISSIONS`
# in authz.py — kept inline so the tests don't import a private symbol.
_STUB_PERMISSIONS: list[str] = [
Permissions.THREADS_READ,
Permissions.THREADS_WRITE,
Permissions.THREADS_DELETE,
Permissions.RUNS_CREATE,
Permissions.RUNS_READ,
Permissions.RUNS_CANCEL,
]
def _make_stub_user() -> User:
"""A deterministic test user — same shape as production, fresh UUID."""
return User(
email="router-test@example.com",
password_hash="x",
system_role="user",
id=uuid4(),
)
class _StubAuthMiddleware(BaseHTTPMiddleware):
"""Stamp a fake user / AuthContext onto every request.
Mirrors what production ``AuthMiddleware`` does after the JWT decode
+ DB lookup short-circuit, so ``@require_permission`` finds an
authenticated context and skips its own re-authentication path.
"""
def __init__(self, app: ASGIApp, user_factory: Callable[[], User]) -> None:
super().__init__(app)
self._user_factory = user_factory
async def dispatch(self, request: Request, call_next: Callable) -> Response:
user = self._user_factory()
request.state.user = user
request.state.auth = AuthContext(user=user, permissions=list(_STUB_PERMISSIONS))
return await call_next(request)
def make_authed_test_app(
*,
user_factory: Callable[[], User] | None = None,
owner_check_passes: bool = True,
) -> FastAPI:
"""Build a FastAPI test app with stub auth + permissive thread_meta_repo.
Args:
user_factory: Override the default test user. Must return a fully
populated :class:`User`. Useful for cross-user isolation tests
that need a stable id across requests.
owner_check_passes: When True (default), ``thread_meta_repo.check_access``
returns True for every call so ``@require_permission(owner_check=True)``
never blocks the route under test. Pass False to verify that
permission failures surface correctly.
Returns:
A ``FastAPI`` app with the stub middleware installed and
``app.state.thread_meta_repo`` set to a permissive mock. The
caller is still responsible for ``app.include_router(...)``.
"""
factory = user_factory or _make_stub_user
app = FastAPI()
app.add_middleware(_StubAuthMiddleware, user_factory=factory)
repo = MagicMock()
repo.check_access = AsyncMock(return_value=owner_check_passes)
app.state.thread_meta_repo = repo
return app
_P = ParamSpec("_P")
_R = TypeVar("_R")
def call_unwrapped(decorated: Callable[_P, _R], /, *args: _P.args, **kwargs: _P.kwargs) -> _R:
"""Invoke the underlying function of a ``@require_permission``-decorated route.
``functools.wraps`` sets ``__wrapped__`` on each layer; we walk all
the way down to the original handler, bypassing every authz +
require_auth wrapper. Use from tests that need to call route
functions directly (without TestClient) and don't want to construct
a fake ``Request`` just to satisfy the decorator. The ``ParamSpec``
propagates the wrapped route's signature so call sites still get
parameter checking despite the unwrapping.
"""
fn: Callable = decorated
while hasattr(fn, "__wrapped__"):
fn = fn.__wrapped__ # type: ignore[attr-defined]
return fn(*args, **kwargs)
+42
View File
@@ -7,6 +7,7 @@ issues when unit-testing lightweight config/registry code in isolation.
import importlib.util
import sys
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import MagicMock
import pytest
@@ -53,3 +54,44 @@ def provisioner_module():
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
# ---------------------------------------------------------------------------
# Auto-set user context for every test unless marked no_auto_user
# ---------------------------------------------------------------------------
#
# Repository methods read ``owner_id`` from a contextvar by default
# (see ``deerflow.runtime.user_context``). Without this fixture, every
# pre-existing persistence test would raise RuntimeError because the
# contextvar is unset. The fixture sets a default test user on every
# test; tests that explicitly want to verify behaviour *without* a user
# context should mark themselves ``@pytest.mark.no_auto_user``.
@pytest.fixture(autouse=True)
def _auto_user_context(request):
"""Inject a default ``test-user-autouse`` into the contextvar.
Opt-out via ``@pytest.mark.no_auto_user``. Uses lazy import so that
tests which don't touch the persistence layer never pay the cost
of importing runtime.user_context.
"""
if request.node.get_closest_marker("no_auto_user"):
yield
return
try:
from deerflow.runtime.user_context import (
reset_current_user,
set_current_user,
)
except ImportError:
yield
return
user = SimpleNamespace(id="test-user-autouse", email="test@local")
token = set_current_user(user)
try:
yield
finally:
reset_current_user(token)
+6 -6
View File
@@ -3,7 +3,7 @@ import zipfile
from pathlib import Path
import pytest
from fastapi import FastAPI
from _router_auth_helpers import call_unwrapped, make_authed_test_app
from fastapi.testclient import TestClient
from starlette.requests import Request
from starlette.responses import FileResponse
@@ -36,7 +36,7 @@ def test_get_artifact_reads_utf8_text_file_on_windows_locale(tmp_path, monkeypat
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: artifact_path)
request = _make_request()
response = asyncio.run(artifacts_router.get_artifact("thread-1", "mnt/user-data/outputs/note.txt", request))
response = asyncio.run(call_unwrapped(artifacts_router.get_artifact, "thread-1", "mnt/user-data/outputs/note.txt", request))
assert bytes(response.body).decode("utf-8") == text
assert response.media_type == "text/plain"
@@ -49,7 +49,7 @@ def test_get_artifact_forces_download_for_active_content(tmp_path, monkeypatch,
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: artifact_path)
response = asyncio.run(artifacts_router.get_artifact("thread-1", f"mnt/user-data/outputs/{filename}", _make_request()))
response = asyncio.run(call_unwrapped(artifacts_router.get_artifact, "thread-1", f"mnt/user-data/outputs/{filename}", _make_request()))
assert isinstance(response, FileResponse)
assert response.headers.get("content-disposition", "").startswith("attachment;")
@@ -63,7 +63,7 @@ def test_get_artifact_forces_download_for_active_content_in_skill_archive(tmp_pa
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: skill_path)
response = asyncio.run(artifacts_router.get_artifact("thread-1", f"mnt/user-data/outputs/sample.skill/{filename}", _make_request()))
response = asyncio.run(call_unwrapped(artifacts_router.get_artifact, "thread-1", f"mnt/user-data/outputs/sample.skill/{filename}", _make_request()))
assert response.headers.get("content-disposition", "").startswith("attachment;")
assert bytes(response.body) == content.encode("utf-8")
@@ -75,7 +75,7 @@ def test_get_artifact_download_false_does_not_force_attachment(tmp_path, monkeyp
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: artifact_path)
app = FastAPI()
app = make_authed_test_app()
app.include_router(artifacts_router.router)
with TestClient(app) as client:
@@ -93,7 +93,7 @@ def test_get_artifact_download_true_forces_attachment_for_skill_archive(tmp_path
monkeypatch.setattr(artifacts_router, "resolve_thread_virtual_path", lambda _thread_id, _path: skill_path)
app = FastAPI()
app = make_authed_test_app()
app.include_router(artifacts_router.router)
with TestClient(app) as client:
+654
View File
@@ -0,0 +1,654 @@
"""Tests for authentication module: JWT, password hashing, AuthContext, and authz decorators."""
from datetime import timedelta
from unittest.mock import AsyncMock, MagicMock, patch
from uuid import uuid4
import pytest
from fastapi import FastAPI, HTTPException
from fastapi.testclient import TestClient
from app.gateway.auth import create_access_token, decode_token, hash_password, verify_password
from app.gateway.auth.models import User
from app.gateway.authz import (
AuthContext,
Permissions,
get_auth_context,
require_auth,
require_permission,
)
# ── Password Hashing ────────────────────────────────────────────────────────
def test_hash_password_and_verify():
"""Hashing and verification round-trip."""
password = "s3cr3tP@ssw0rd!"
hashed = hash_password(password)
assert hashed != password
assert verify_password(password, hashed) is True
assert verify_password("wrongpassword", hashed) is False
def test_hash_password_different_each_time():
"""bcrypt generates unique salts, so same password has different hashes."""
password = "testpassword"
h1 = hash_password(password)
h2 = hash_password(password)
assert h1 != h2 # Different salts
# But both verify correctly
assert verify_password(password, h1) is True
assert verify_password(password, h2) is True
def test_verify_password_rejects_empty():
"""Empty password should not verify."""
hashed = hash_password("nonempty")
assert verify_password("", hashed) is False
# ── JWT ─────────────────────────────────────────────────────────────────────
def test_create_and_decode_token():
"""JWT creation and decoding round-trip."""
user_id = str(uuid4())
# Set a valid JWT secret for this test
import os
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
token = create_access_token(user_id)
assert isinstance(token, str)
payload = decode_token(token)
assert payload is not None
assert payload.sub == user_id
def test_decode_token_expired():
"""Expired token returns TokenError.EXPIRED."""
from app.gateway.auth.errors import TokenError
user_id = str(uuid4())
# Create token that expires immediately
token = create_access_token(user_id, expires_delta=timedelta(seconds=-1))
payload = decode_token(token)
assert payload == TokenError.EXPIRED
def test_decode_token_invalid():
"""Invalid token returns TokenError."""
from app.gateway.auth.errors import TokenError
assert isinstance(decode_token("not.a.valid.token"), TokenError)
assert isinstance(decode_token(""), TokenError)
assert isinstance(decode_token("completely-wrong"), TokenError)
def test_create_token_custom_expiry():
"""Custom expiry is respected."""
user_id = str(uuid4())
token = create_access_token(user_id, expires_delta=timedelta(hours=1))
payload = decode_token(token)
assert payload is not None
assert payload.sub == user_id
# ── AuthContext ────────────────────────────────────────────────────────────
def test_auth_context_unauthenticated():
"""AuthContext with no user."""
ctx = AuthContext(user=None, permissions=[])
assert ctx.is_authenticated is False
assert ctx.has_permission("threads", "read") is False
def test_auth_context_authenticated_no_perms():
"""AuthContext with user but no permissions."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
ctx = AuthContext(user=user, permissions=[])
assert ctx.is_authenticated is True
assert ctx.has_permission("threads", "read") is False
def test_auth_context_has_permission():
"""AuthContext permission checking."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
perms = [Permissions.THREADS_READ, Permissions.THREADS_WRITE]
ctx = AuthContext(user=user, permissions=perms)
assert ctx.has_permission("threads", "read") is True
assert ctx.has_permission("threads", "write") is True
assert ctx.has_permission("threads", "delete") is False
assert ctx.has_permission("runs", "read") is False
def test_auth_context_require_user_raises():
"""require_user raises 401 when not authenticated."""
ctx = AuthContext(user=None, permissions=[])
with pytest.raises(HTTPException) as exc_info:
ctx.require_user()
assert exc_info.value.status_code == 401
def test_auth_context_require_user_returns_user():
"""require_user returns user when authenticated."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
ctx = AuthContext(user=user, permissions=[])
returned = ctx.require_user()
assert returned == user
# ── get_auth_context helper ─────────────────────────────────────────────────
def test_get_auth_context_not_set():
"""get_auth_context returns None when auth not set on request."""
mock_request = MagicMock()
# Make getattr return None (simulating attribute not set)
mock_request.state = MagicMock()
del mock_request.state.auth
assert get_auth_context(mock_request) is None
def test_get_auth_context_set():
"""get_auth_context returns the AuthContext from request."""
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
ctx = AuthContext(user=user, permissions=[Permissions.THREADS_READ])
mock_request = MagicMock()
mock_request.state.auth = ctx
assert get_auth_context(mock_request) == ctx
# ── require_auth decorator ──────────────────────────────────────────────────
def test_require_auth_sets_auth_context():
"""require_auth sets auth context on request from cookie."""
from fastapi import Request
app = FastAPI()
@app.get("/test")
@require_auth
async def endpoint(request: Request):
ctx = get_auth_context(request)
return {"authenticated": ctx.is_authenticated}
with TestClient(app) as client:
# No cookie → anonymous
response = client.get("/test")
assert response.status_code == 200
assert response.json()["authenticated"] is False
def test_require_auth_requires_request_param():
"""require_auth raises ValueError if request parameter is missing."""
import asyncio
@require_auth
async def bad_endpoint(): # Missing `request` parameter
pass
with pytest.raises(ValueError, match="require_auth decorator requires 'request' parameter"):
asyncio.run(bad_endpoint())
# ── require_permission decorator ─────────────────────────────────────────────
def test_require_permission_requires_auth():
"""require_permission raises 401 when not authenticated."""
from fastapi import Request
app = FastAPI()
@app.get("/test")
@require_permission("threads", "read")
async def endpoint(request: Request):
return {"ok": True}
with TestClient(app) as client:
response = client.get("/test")
assert response.status_code == 401
assert "Authentication required" in response.json()["detail"]
def test_require_permission_denies_wrong_permission():
"""User without required permission gets 403."""
from fastapi import Request
app = FastAPI()
user = User(id=uuid4(), email="test@example.com", password_hash="hash")
@app.get("/test")
@require_permission("threads", "delete")
async def endpoint(request: Request):
return {"ok": True}
mock_auth = AuthContext(user=user, permissions=[Permissions.THREADS_READ])
with patch("app.gateway.authz._authenticate", return_value=mock_auth):
with TestClient(app) as client:
response = client.get("/test")
assert response.status_code == 403
assert "Permission denied" in response.json()["detail"]
# ── Weak JWT secret warning ──────────────────────────────────────────────────
# ── User Model Fields ──────────────────────────────────────────────────────
def test_user_model_has_needs_setup_default_false():
"""New users default to needs_setup=False."""
user = User(email="test@example.com", password_hash="hash")
assert user.needs_setup is False
def test_user_model_has_token_version_default_zero():
"""New users default to token_version=0."""
user = User(email="test@example.com", password_hash="hash")
assert user.token_version == 0
def test_user_model_needs_setup_true():
"""Auto-created admin has needs_setup=True."""
user = User(email="admin@example.com", password_hash="hash", needs_setup=True)
assert user.needs_setup is True
def test_sqlite_round_trip_new_fields():
"""needs_setup and token_version survive create → read round-trip.
Uses the shared persistence engine (same one threads_meta, runs,
run_events, and feedback use). The old separate .deer-flow/users.db
file is gone.
"""
import asyncio
import tempfile
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
async def _run() -> None:
from deerflow.persistence.engine import (
close_engine,
get_session_factory,
init_engine,
)
with tempfile.TemporaryDirectory() as tmpdir:
url = f"sqlite+aiosqlite:///{tmpdir}/scratch.db"
await init_engine("sqlite", url=url, sqlite_dir=tmpdir)
try:
repo = SQLiteUserRepository(get_session_factory())
user = User(
email="setup@test.com",
password_hash="fakehash",
system_role="admin",
needs_setup=True,
token_version=3,
)
created = await repo.create_user(user)
assert created.needs_setup is True
assert created.token_version == 3
fetched = await repo.get_user_by_email("setup@test.com")
assert fetched is not None
assert fetched.needs_setup is True
assert fetched.token_version == 3
fetched.needs_setup = False
fetched.token_version = 4
await repo.update_user(fetched)
refetched = await repo.get_user_by_id(str(fetched.id))
assert refetched is not None
assert refetched.needs_setup is False
assert refetched.token_version == 4
finally:
await close_engine()
asyncio.run(_run())
def test_update_user_raises_when_row_concurrently_deleted(tmp_path):
"""Concurrent-delete during update_user must hard-fail, not silently no-op.
Earlier the SQLite repo returned the input unchanged when the row was
missing, making a phantom success path that admin password reset
callers (`reset_admin`, `_ensure_admin_user`) would happily log as
'password reset'. The new contract: raise ``UserNotFoundError`` so
a vanished row never looks like a successful update.
"""
import asyncio
import tempfile
from app.gateway.auth.repositories.base import UserNotFoundError
from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
async def _run() -> None:
from deerflow.persistence.engine import (
close_engine,
get_session_factory,
init_engine,
)
from deerflow.persistence.user.model import UserRow
with tempfile.TemporaryDirectory() as d:
url = f"sqlite+aiosqlite:///{d}/scratch.db"
await init_engine("sqlite", url=url, sqlite_dir=d)
try:
sf = get_session_factory()
repo = SQLiteUserRepository(sf)
user = User(
email="ghost@test.com",
password_hash="fakehash",
system_role="user",
)
created = await repo.create_user(user)
# Simulate "row vanished underneath us" by deleting the row
# via the raw ORM session, then attempt to update.
async with sf() as session:
row = await session.get(UserRow, str(created.id))
assert row is not None
await session.delete(row)
await session.commit()
created.needs_setup = True
with pytest.raises(UserNotFoundError):
await repo.update_user(created)
finally:
await close_engine()
asyncio.run(_run())
# ── Token Versioning ───────────────────────────────────────────────────────
def test_jwt_encodes_ver():
"""JWT payload includes ver field."""
import os
from app.gateway.auth.errors import TokenError
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
token = create_access_token(str(uuid4()), token_version=3)
payload = decode_token(token)
assert not isinstance(payload, TokenError)
assert payload.ver == 3
def test_jwt_default_ver_zero():
"""JWT ver defaults to 0."""
import os
from app.gateway.auth.errors import TokenError
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
token = create_access_token(str(uuid4()))
payload = decode_token(token)
assert not isinstance(payload, TokenError)
assert payload.ver == 0
def test_token_version_mismatch_rejects():
"""Token with stale ver is rejected by get_current_user_from_request."""
import asyncio
import os
os.environ["AUTH_JWT_SECRET"] = "test-secret-key-for-jwt-testing-minimum-32-chars"
user_id = str(uuid4())
token = create_access_token(user_id, token_version=0)
mock_user = User(id=user_id, email="test@example.com", password_hash="hash", token_version=1)
mock_request = MagicMock()
mock_request.cookies = {"access_token": token}
with patch("app.gateway.deps.get_local_provider") as mock_provider_fn:
mock_provider = MagicMock()
mock_provider.get_user = AsyncMock(return_value=mock_user)
mock_provider_fn.return_value = mock_provider
from app.gateway.deps import get_current_user_from_request
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
assert "revoked" in str(exc_info.value.detail).lower()
# ── change-password extension ──────────────────────────────────────────────
def test_change_password_request_accepts_new_email():
"""ChangePasswordRequest model accepts optional new_email."""
from app.gateway.routers.auth import ChangePasswordRequest
req = ChangePasswordRequest(
current_password="old",
new_password="newpassword",
new_email="new@example.com",
)
assert req.new_email == "new@example.com"
def test_change_password_request_new_email_optional():
"""ChangePasswordRequest model works without new_email."""
from app.gateway.routers.auth import ChangePasswordRequest
req = ChangePasswordRequest(current_password="old", new_password="newpassword")
assert req.new_email is None
def test_login_response_includes_needs_setup():
"""LoginResponse includes needs_setup field."""
from app.gateway.routers.auth import LoginResponse
resp = LoginResponse(expires_in=3600, needs_setup=True)
assert resp.needs_setup is True
resp2 = LoginResponse(expires_in=3600)
assert resp2.needs_setup is False
# ── Rate Limiting ──────────────────────────────────────────────────────────
def test_rate_limiter_allows_under_limit():
"""Requests under the limit are allowed."""
from app.gateway.routers.auth import _check_rate_limit, _login_attempts
_login_attempts.clear()
_check_rate_limit("192.168.1.1") # Should not raise
def test_rate_limiter_blocks_after_max_failures():
"""IP is blocked after 5 consecutive failures."""
from app.gateway.routers.auth import _check_rate_limit, _login_attempts, _record_login_failure
_login_attempts.clear()
ip = "10.0.0.1"
for _ in range(5):
_record_login_failure(ip)
with pytest.raises(HTTPException) as exc_info:
_check_rate_limit(ip)
assert exc_info.value.status_code == 429
def test_rate_limiter_resets_on_success():
"""Successful login clears the failure counter."""
from app.gateway.routers.auth import _check_rate_limit, _login_attempts, _record_login_failure, _record_login_success
_login_attempts.clear()
ip = "10.0.0.2"
for _ in range(4):
_record_login_failure(ip)
_record_login_success(ip)
_check_rate_limit(ip) # Should not raise
# ── Client IP extraction ─────────────────────────────────────────────────
def test_get_client_ip_direct_connection_no_proxy(monkeypatch):
"""Direct mode (no AUTH_TRUSTED_PROXIES): use TCP peer regardless of X-Real-IP."""
monkeypatch.delenv("AUTH_TRUSTED_PROXIES", raising=False)
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "203.0.113.42"
req.headers = {}
assert _get_client_ip(req) == "203.0.113.42"
def test_get_client_ip_x_real_ip_ignored_when_no_trusted_proxy(monkeypatch):
"""X-Real-IP is silently ignored if AUTH_TRUSTED_PROXIES is unset.
This closes the bypass where any client could rotate X-Real-IP per
request to dodge per-IP rate limits in dev / direct mode.
"""
monkeypatch.delenv("AUTH_TRUSTED_PROXIES", raising=False)
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "127.0.0.1"
req.headers = {"x-real-ip": "203.0.113.42"}
assert _get_client_ip(req) == "127.0.0.1"
def test_get_client_ip_x_real_ip_honored_from_trusted_proxy(monkeypatch):
"""X-Real-IP is honored when the TCP peer matches AUTH_TRUSTED_PROXIES."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "10.5.6.7" # in trusted CIDR
req.headers = {"x-real-ip": "203.0.113.42"}
assert _get_client_ip(req) == "203.0.113.42"
def test_get_client_ip_x_real_ip_rejected_from_untrusted_peer(monkeypatch):
"""X-Real-IP is rejected when the TCP peer is NOT in the trusted list."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "8.8.8.8" # NOT in trusted CIDR
req.headers = {"x-real-ip": "203.0.113.42"} # client trying to spoof
assert _get_client_ip(req) == "8.8.8.8"
def test_get_client_ip_xff_never_honored(monkeypatch):
"""X-Forwarded-For is never used; only X-Real-IP from a trusted peer."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "10.0.0.1"
req.headers = {"x-forwarded-for": "198.51.100.5"} # no x-real-ip
assert _get_client_ip(req) == "10.0.0.1"
def test_get_client_ip_invalid_trusted_proxy_entry_skipped(monkeypatch, caplog):
"""Garbage entries in AUTH_TRUSTED_PROXIES are warned and skipped."""
monkeypatch.setenv("AUTH_TRUSTED_PROXIES", "not-an-ip,10.0.0.0/8")
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client.host = "10.5.6.7"
req.headers = {"x-real-ip": "203.0.113.42"}
assert _get_client_ip(req) == "203.0.113.42" # valid entry still works
def test_get_client_ip_no_client_returns_unknown(monkeypatch):
"""No request.client → 'unknown' marker (no crash)."""
monkeypatch.delenv("AUTH_TRUSTED_PROXIES", raising=False)
from app.gateway.routers.auth import _get_client_ip
req = MagicMock()
req.client = None
req.headers = {}
assert _get_client_ip(req) == "unknown"
# ── Common-password blocklist ────────────────────────────────────────────────
def test_register_rejects_literal_password():
"""Pydantic validator rejects 'password' as a registration password."""
from pydantic import ValidationError
from app.gateway.routers.auth import RegisterRequest
with pytest.raises(ValidationError) as exc:
RegisterRequest(email="x@example.com", password="password")
assert "too common" in str(exc.value)
def test_register_rejects_common_password_case_insensitive():
"""Case variants of common passwords are also rejected."""
from pydantic import ValidationError
from app.gateway.routers.auth import RegisterRequest
for variant in ["PASSWORD", "Password1", "qwerty123", "letmein1"]:
with pytest.raises(ValidationError):
RegisterRequest(email="x@example.com", password=variant)
def test_register_accepts_strong_password():
"""A non-blocklisted password of length >=8 is accepted."""
from app.gateway.routers.auth import RegisterRequest
req = RegisterRequest(email="x@example.com", password="Tr0ub4dor&3-Horse")
assert req.password == "Tr0ub4dor&3-Horse"
def test_change_password_rejects_common_password():
"""The same blocklist applies to change-password."""
from pydantic import ValidationError
from app.gateway.routers.auth import ChangePasswordRequest
with pytest.raises(ValidationError):
ChangePasswordRequest(current_password="anything", new_password="iloveyou")
def test_password_blocklist_keeps_short_passwords_for_length_check():
"""Short passwords still fail the min_length check (not the blocklist)."""
from pydantic import ValidationError
from app.gateway.routers.auth import RegisterRequest
with pytest.raises(ValidationError) as exc:
RegisterRequest(email="x@example.com", password="abc")
# the length check should fire, not the blocklist
assert "at least 8 characters" in str(exc.value)
# ── Weak JWT secret warning ──────────────────────────────────────────────────
def test_missing_jwt_secret_generates_ephemeral(monkeypatch, caplog):
"""get_auth_config() auto-generates an ephemeral secret when AUTH_JWT_SECRET is unset."""
import logging
import app.gateway.auth.config as config_module
config_module._auth_config = None
monkeypatch.delenv("AUTH_JWT_SECRET", raising=False)
with caplog.at_level(logging.WARNING):
config = config_module.get_auth_config()
assert config.jwt_secret # non-empty ephemeral secret
assert any("AUTH_JWT_SECRET" in msg for msg in caplog.messages)
# Cleanup
config_module._auth_config = None
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"""Tests for AuthConfig typed configuration."""
import os
from unittest.mock import patch
import pytest
from app.gateway.auth.config import AuthConfig
def test_auth_config_defaults():
config = AuthConfig(jwt_secret="test-secret-key-123")
assert config.token_expiry_days == 7
def test_auth_config_token_expiry_range():
AuthConfig(jwt_secret="s", token_expiry_days=1)
AuthConfig(jwt_secret="s", token_expiry_days=30)
with pytest.raises(Exception):
AuthConfig(jwt_secret="s", token_expiry_days=0)
with pytest.raises(Exception):
AuthConfig(jwt_secret="s", token_expiry_days=31)
def test_auth_config_from_env():
env = {"AUTH_JWT_SECRET": "test-jwt-secret-from-env"}
with patch.dict(os.environ, env, clear=False):
import app.gateway.auth.config as cfg
old = cfg._auth_config
cfg._auth_config = None
try:
config = cfg.get_auth_config()
assert config.jwt_secret == "test-jwt-secret-from-env"
finally:
cfg._auth_config = old
def test_auth_config_missing_secret_generates_ephemeral(caplog):
import logging
import app.gateway.auth.config as cfg
old = cfg._auth_config
cfg._auth_config = None
try:
with patch.dict(os.environ, {}, clear=True):
os.environ.pop("AUTH_JWT_SECRET", None)
with caplog.at_level(logging.WARNING):
config = cfg.get_auth_config()
assert config.jwt_secret
assert any("AUTH_JWT_SECRET" in msg for msg in caplog.messages)
finally:
cfg._auth_config = old
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"""Tests for auth error types and typed decode_token."""
from datetime import UTC, datetime, timedelta
import jwt as pyjwt
from app.gateway.auth.config import AuthConfig, set_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError
from app.gateway.auth.jwt import create_access_token, decode_token
def test_auth_error_code_values():
assert AuthErrorCode.INVALID_CREDENTIALS == "invalid_credentials"
assert AuthErrorCode.TOKEN_EXPIRED == "token_expired"
assert AuthErrorCode.NOT_AUTHENTICATED == "not_authenticated"
def test_token_error_values():
assert TokenError.EXPIRED == "expired"
assert TokenError.INVALID_SIGNATURE == "invalid_signature"
assert TokenError.MALFORMED == "malformed"
def test_auth_error_response_serialization():
err = AuthErrorResponse(
code=AuthErrorCode.TOKEN_EXPIRED,
message="Token has expired",
)
d = err.model_dump()
assert d == {"code": "token_expired", "message": "Token has expired"}
def test_auth_error_response_from_dict():
d = {"code": "invalid_credentials", "message": "Wrong password"}
err = AuthErrorResponse(**d)
assert err.code == AuthErrorCode.INVALID_CREDENTIALS
# ── decode_token typed failure tests ──────────────────────────────
_TEST_SECRET = "test-secret-for-jwt-decode-token-tests"
def _setup_config():
set_auth_config(AuthConfig(jwt_secret=_TEST_SECRET))
def test_decode_token_returns_token_error_on_expired():
_setup_config()
expired_payload = {"sub": "user-1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired_payload, _TEST_SECRET, algorithm="HS256")
result = decode_token(token)
assert result == TokenError.EXPIRED
def test_decode_token_returns_token_error_on_bad_signature():
_setup_config()
payload = {"sub": "user-1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-secret", algorithm="HS256")
result = decode_token(token)
assert result == TokenError.INVALID_SIGNATURE
def test_decode_token_returns_token_error_on_malformed():
_setup_config()
result = decode_token("not-a-jwt")
assert result == TokenError.MALFORMED
def test_decode_token_returns_payload_on_valid():
_setup_config()
token = create_access_token("user-123")
result = decode_token(token)
assert not isinstance(result, TokenError)
assert result.sub == "user-123"
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"""Tests for the global AuthMiddleware (fail-closed safety net)."""
import pytest
from starlette.testclient import TestClient
from app.gateway.auth_middleware import AuthMiddleware, _is_public
# ── _is_public unit tests ─────────────────────────────────────────────────
@pytest.mark.parametrize(
"path",
[
"/health",
"/health/",
"/docs",
"/docs/",
"/redoc",
"/openapi.json",
"/api/v1/auth/login/local",
"/api/v1/auth/register",
"/api/v1/auth/logout",
"/api/v1/auth/setup-status",
],
)
def test_public_paths(path: str):
assert _is_public(path) is True
@pytest.mark.parametrize(
"path",
[
"/api/models",
"/api/mcp/config",
"/api/memory",
"/api/skills",
"/api/threads/123",
"/api/threads/123/uploads",
"/api/agents",
"/api/channels",
"/api/runs/stream",
"/api/threads/123/runs",
"/api/v1/auth/me",
"/api/v1/auth/change-password",
],
)
def test_protected_paths(path: str):
assert _is_public(path) is False
# ── Trailing slash / normalization edge cases ─────────────────────────────
@pytest.mark.parametrize(
"path",
[
"/api/v1/auth/login/local/",
"/api/v1/auth/register/",
"/api/v1/auth/logout/",
"/api/v1/auth/setup-status/",
],
)
def test_public_auth_paths_with_trailing_slash(path: str):
assert _is_public(path) is True
@pytest.mark.parametrize(
"path",
[
"/api/models/",
"/api/v1/auth/me/",
"/api/v1/auth/change-password/",
],
)
def test_protected_paths_with_trailing_slash(path: str):
assert _is_public(path) is False
def test_unknown_api_path_is_protected():
"""Fail-closed: any new /api/* path is protected by default."""
assert _is_public("/api/new-feature") is False
assert _is_public("/api/v2/something") is False
assert _is_public("/api/v1/auth/new-endpoint") is False
# ── Middleware integration tests ──────────────────────────────────────────
def _make_app():
"""Create a minimal FastAPI app with AuthMiddleware for testing."""
from fastapi import FastAPI
app = FastAPI()
app.add_middleware(AuthMiddleware)
@app.get("/health")
async def health():
return {"status": "ok"}
@app.get("/api/v1/auth/me")
async def auth_me():
return {"id": "1", "email": "test@test.com"}
@app.get("/api/v1/auth/setup-status")
async def setup_status():
return {"needs_setup": False}
@app.get("/api/models")
async def models_get():
return {"models": []}
@app.put("/api/mcp/config")
async def mcp_put():
return {"ok": True}
@app.delete("/api/threads/abc")
async def thread_delete():
return {"ok": True}
@app.patch("/api/threads/abc")
async def thread_patch():
return {"ok": True}
@app.post("/api/threads/abc/runs/stream")
async def stream():
return {"ok": True}
@app.get("/api/future-endpoint")
async def future():
return {"ok": True}
return app
@pytest.fixture
def client():
return TestClient(_make_app())
def test_public_path_no_cookie(client):
res = client.get("/health")
assert res.status_code == 200
def test_public_auth_path_no_cookie(client):
"""Public auth endpoints (login/register) pass without cookie."""
res = client.get("/api/v1/auth/setup-status")
assert res.status_code == 200
def test_protected_auth_path_no_cookie(client):
"""/auth/me requires cookie even though it's under /api/v1/auth/."""
res = client.get("/api/v1/auth/me")
assert res.status_code == 401
def test_protected_path_no_cookie_returns_401(client):
res = client.get("/api/models")
assert res.status_code == 401
body = res.json()
assert body["detail"]["code"] == "not_authenticated"
def test_protected_path_with_junk_cookie_rejected(client):
"""Junk cookie → 401. Middleware strictly validates the JWT now
(AUTH_TEST_PLAN test 7.5.8); it no longer silently passes bad
tokens through to the route handler."""
res = client.get("/api/models", cookies={"access_token": "some-token"})
assert res.status_code == 401
def test_protected_post_no_cookie_returns_401(client):
res = client.post("/api/threads/abc/runs/stream")
assert res.status_code == 401
# ── Method matrix: PUT/DELETE/PATCH also protected ────────────────────────
def test_protected_put_no_cookie(client):
res = client.put("/api/mcp/config")
assert res.status_code == 401
def test_protected_delete_no_cookie(client):
res = client.delete("/api/threads/abc")
assert res.status_code == 401
def test_protected_patch_no_cookie(client):
res = client.patch("/api/threads/abc")
assert res.status_code == 401
def test_put_with_junk_cookie_rejected(client):
"""Junk cookie on PUT → 401 (strict JWT validation in middleware)."""
client.cookies.set("access_token", "tok")
res = client.put("/api/mcp/config")
assert res.status_code == 401
def test_delete_with_junk_cookie_rejected(client):
"""Junk cookie on DELETE → 401 (strict JWT validation in middleware)."""
client.cookies.set("access_token", "tok")
res = client.delete("/api/threads/abc")
assert res.status_code == 401
# ── Fail-closed: unknown future endpoints ─────────────────────────────────
def test_unknown_endpoint_no_cookie_returns_401(client):
"""Any new /api/* endpoint is blocked by default without cookie."""
res = client.get("/api/future-endpoint")
assert res.status_code == 401
def test_unknown_endpoint_with_junk_cookie_rejected(client):
"""New endpoints are also protected by strict JWT validation."""
client.cookies.set("access_token", "tok")
res = client.get("/api/future-endpoint")
assert res.status_code == 401
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"""Tests for auth type system hardening.
Covers structured error responses, typed decode_token callers,
CSRF middleware path matching, config-driven cookie security,
and unhappy paths / edge cases for all auth boundaries.
"""
import os
import secrets
from datetime import UTC, datetime, timedelta
from unittest.mock import patch
import jwt as pyjwt
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import ValidationError
from app.gateway.auth.config import AuthConfig, set_auth_config
from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError
from app.gateway.auth.jwt import decode_token
from app.gateway.csrf_middleware import (
CSRF_COOKIE_NAME,
CSRF_HEADER_NAME,
CSRFMiddleware,
is_auth_endpoint,
should_check_csrf,
)
# ── Setup ────────────────────────────────────────────────────────────
_TEST_SECRET = "test-secret-for-auth-type-system-tests-min32"
@pytest.fixture(autouse=True)
def _persistence_engine(tmp_path):
"""Initialise a per-test SQLite engine + reset cached provider singletons.
The auth tests call real HTTP handlers that go through
``SQLiteUserRepository`` ``get_session_factory``. Each test gets
a fresh DB plus a clean ``deps._cached_*`` so the cached provider
does not hold a dangling reference to the previous test's engine.
"""
import asyncio
from app.gateway import deps
from deerflow.persistence.engine import close_engine, init_engine
url = f"sqlite+aiosqlite:///{tmp_path}/auth_types.db"
asyncio.run(init_engine("sqlite", url=url, sqlite_dir=str(tmp_path)))
deps._cached_local_provider = None
deps._cached_repo = None
try:
yield
finally:
deps._cached_local_provider = None
deps._cached_repo = None
asyncio.run(close_engine())
def _setup_config():
set_auth_config(AuthConfig(jwt_secret=_TEST_SECRET))
# ── CSRF Middleware Path Matching ────────────────────────────────────
class _FakeRequest:
"""Minimal request mock for CSRF path matching tests."""
def __init__(self, path: str, method: str = "POST"):
self.method = method
class _URL:
def __init__(self, p):
self.path = p
self.url = _URL(path)
self.cookies = {}
self.headers = {}
def test_csrf_exempts_login_local():
"""login/local (actual route) should be exempt from CSRF."""
req = _FakeRequest("/api/v1/auth/login/local")
assert is_auth_endpoint(req) is True
def test_csrf_exempts_login_local_trailing_slash():
"""Trailing slash should also be exempt."""
req = _FakeRequest("/api/v1/auth/login/local/")
assert is_auth_endpoint(req) is True
def test_csrf_exempts_logout():
req = _FakeRequest("/api/v1/auth/logout")
assert is_auth_endpoint(req) is True
def test_csrf_exempts_register():
req = _FakeRequest("/api/v1/auth/register")
assert is_auth_endpoint(req) is True
def test_csrf_does_not_exempt_old_login_path():
"""Old /api/v1/auth/login (without /local) should NOT be exempt."""
req = _FakeRequest("/api/v1/auth/login")
assert is_auth_endpoint(req) is False
def test_csrf_does_not_exempt_me():
req = _FakeRequest("/api/v1/auth/me")
assert is_auth_endpoint(req) is False
def test_csrf_skips_get_requests():
req = _FakeRequest("/api/v1/auth/me", method="GET")
assert should_check_csrf(req) is False
def test_csrf_checks_post_to_protected():
req = _FakeRequest("/api/v1/some/endpoint", method="POST")
assert should_check_csrf(req) is True
# ── Structured Error Response Format ────────────────────────────────
def test_auth_error_response_has_code_and_message():
"""All auth errors should have structured {code, message} format."""
err = AuthErrorResponse(
code=AuthErrorCode.INVALID_CREDENTIALS,
message="Wrong password",
)
d = err.model_dump()
assert "code" in d
assert "message" in d
assert d["code"] == "invalid_credentials"
def test_auth_error_response_all_codes_serializable():
"""Every AuthErrorCode should be serializable in AuthErrorResponse."""
for code in AuthErrorCode:
err = AuthErrorResponse(code=code, message=f"Test {code.value}")
d = err.model_dump()
assert d["code"] == code.value
# ── decode_token Caller Pattern ──────────────────────────────────────
def test_decode_token_expired_maps_to_token_expired_code():
"""TokenError.EXPIRED should map to AuthErrorCode.TOKEN_EXPIRED."""
_setup_config()
from datetime import UTC, datetime, timedelta
import jwt as pyjwt
expired = {"sub": "u1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired, _TEST_SECRET, algorithm="HS256")
result = decode_token(token)
assert result == TokenError.EXPIRED
# Verify the mapping pattern used in route handlers
code = AuthErrorCode.TOKEN_EXPIRED if result == TokenError.EXPIRED else AuthErrorCode.TOKEN_INVALID
assert code == AuthErrorCode.TOKEN_EXPIRED
def test_decode_token_invalid_sig_maps_to_token_invalid_code():
"""TokenError.INVALID_SIGNATURE should map to AuthErrorCode.TOKEN_INVALID."""
_setup_config()
from datetime import UTC, datetime, timedelta
import jwt as pyjwt
payload = {"sub": "u1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-key", algorithm="HS256")
result = decode_token(token)
assert result == TokenError.INVALID_SIGNATURE
code = AuthErrorCode.TOKEN_EXPIRED if result == TokenError.EXPIRED else AuthErrorCode.TOKEN_INVALID
assert code == AuthErrorCode.TOKEN_INVALID
def test_decode_token_malformed_maps_to_token_invalid_code():
"""TokenError.MALFORMED should map to AuthErrorCode.TOKEN_INVALID."""
_setup_config()
result = decode_token("garbage")
assert result == TokenError.MALFORMED
code = AuthErrorCode.TOKEN_EXPIRED if result == TokenError.EXPIRED else AuthErrorCode.TOKEN_INVALID
assert code == AuthErrorCode.TOKEN_INVALID
# ── Login Response Format ────────────────────────────────────────────
def test_login_response_model_has_no_access_token():
"""LoginResponse should NOT contain access_token field (RFC-001)."""
from app.gateway.routers.auth import LoginResponse
resp = LoginResponse(expires_in=604800)
d = resp.model_dump()
assert "access_token" not in d
assert "expires_in" in d
assert d["expires_in"] == 604800
def test_login_response_model_fields():
"""LoginResponse has expires_in and needs_setup."""
from app.gateway.routers.auth import LoginResponse
fields = set(LoginResponse.model_fields.keys())
assert fields == {"expires_in", "needs_setup"}
# ── AuthConfig in Route ──────────────────────────────────────────────
def test_auth_config_token_expiry_used_in_login_response():
"""LoginResponse.expires_in should come from config.token_expiry_days."""
from app.gateway.routers.auth import LoginResponse
expected_seconds = 14 * 24 * 3600
resp = LoginResponse(expires_in=expected_seconds)
assert resp.expires_in == expected_seconds
# ── UserResponse Type Preservation ───────────────────────────────────
def test_user_response_system_role_literal():
"""UserResponse.system_role should only accept 'admin' or 'user'."""
from app.gateway.auth.models import UserResponse
# Valid roles
resp = UserResponse(id="1", email="a@b.com", system_role="admin")
assert resp.system_role == "admin"
resp = UserResponse(id="1", email="a@b.com", system_role="user")
assert resp.system_role == "user"
def test_user_response_rejects_invalid_role():
"""UserResponse should reject invalid system_role values."""
from app.gateway.auth.models import UserResponse
with pytest.raises(ValidationError):
UserResponse(id="1", email="a@b.com", system_role="superadmin")
# ══════════════════════════════════════════════════════════════════════
# UNHAPPY PATHS / EDGE CASES
# ══════════════════════════════════════════════════════════════════════
# ── get_current_user structured 401 responses ────────────────────────
def test_get_current_user_no_cookie_returns_not_authenticated():
"""No cookie → 401 with code=not_authenticated."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
mock_request = type("MockRequest", (), {"cookies": {}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "not_authenticated"
def test_get_current_user_expired_token_returns_token_expired():
"""Expired token → 401 with code=token_expired."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
_setup_config()
expired = {"sub": "u1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired, _TEST_SECRET, algorithm="HS256")
mock_request = type("MockRequest", (), {"cookies": {"access_token": token}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "token_expired"
def test_get_current_user_invalid_token_returns_token_invalid():
"""Bad signature → 401 with code=token_invalid."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
_setup_config()
payload = {"sub": "u1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-secret", algorithm="HS256")
mock_request = type("MockRequest", (), {"cookies": {"access_token": token}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "token_invalid"
def test_get_current_user_malformed_token_returns_token_invalid():
"""Garbage token → 401 with code=token_invalid."""
import asyncio
from fastapi import HTTPException
from app.gateway.deps import get_current_user_from_request
_setup_config()
mock_request = type("MockRequest", (), {"cookies": {"access_token": "not-a-jwt"}})()
with pytest.raises(HTTPException) as exc_info:
asyncio.run(get_current_user_from_request(mock_request))
assert exc_info.value.status_code == 401
detail = exc_info.value.detail
assert detail["code"] == "token_invalid"
# ── decode_token edge cases ──────────────────────────────────────────
def test_decode_token_empty_string_returns_malformed():
_setup_config()
result = decode_token("")
assert result == TokenError.MALFORMED
def test_decode_token_whitespace_returns_malformed():
_setup_config()
result = decode_token(" ")
assert result == TokenError.MALFORMED
# ── AuthConfig validation edge cases ─────────────────────────────────
def test_auth_config_missing_jwt_secret_raises():
"""AuthConfig requires jwt_secret — no default allowed."""
with pytest.raises(ValidationError):
AuthConfig()
def test_auth_config_token_expiry_zero_raises():
"""token_expiry_days must be >= 1."""
with pytest.raises(ValidationError):
AuthConfig(jwt_secret="secret", token_expiry_days=0)
def test_auth_config_token_expiry_31_raises():
"""token_expiry_days must be <= 30."""
with pytest.raises(ValidationError):
AuthConfig(jwt_secret="secret", token_expiry_days=31)
def test_auth_config_token_expiry_boundary_1_ok():
config = AuthConfig(jwt_secret="secret", token_expiry_days=1)
assert config.token_expiry_days == 1
def test_auth_config_token_expiry_boundary_30_ok():
config = AuthConfig(jwt_secret="secret", token_expiry_days=30)
assert config.token_expiry_days == 30
def test_get_auth_config_missing_env_var_generates_ephemeral(caplog):
"""get_auth_config() auto-generates ephemeral secret when AUTH_JWT_SECRET is unset."""
import logging
import app.gateway.auth.config as cfg
old = cfg._auth_config
cfg._auth_config = None
try:
with patch.dict(os.environ, {}, clear=True):
os.environ.pop("AUTH_JWT_SECRET", None)
with caplog.at_level(logging.WARNING):
config = cfg.get_auth_config()
assert config.jwt_secret
assert any("AUTH_JWT_SECRET" in msg for msg in caplog.messages)
finally:
cfg._auth_config = old
# ── CSRF middleware integration (unhappy paths) ──────────────────────
def _make_csrf_app():
"""Create a minimal FastAPI app with CSRFMiddleware for testing."""
from fastapi import HTTPException as _HTTPException
from fastapi.responses import JSONResponse as _JSONResponse
app = FastAPI()
@app.exception_handler(_HTTPException)
async def _http_exc_handler(request, exc):
return _JSONResponse(status_code=exc.status_code, content={"detail": exc.detail})
app.add_middleware(CSRFMiddleware)
@app.post("/api/v1/test/protected")
async def protected():
return {"ok": True}
@app.post("/api/v1/auth/login/local")
async def login():
return {"ok": True}
@app.get("/api/v1/test/read")
async def read_endpoint():
return {"ok": True}
return app
def test_csrf_middleware_blocks_post_without_token():
"""POST to protected endpoint without CSRF token → 403 with structured detail."""
client = TestClient(_make_csrf_app())
resp = client.post("/api/v1/test/protected")
assert resp.status_code == 403
assert "CSRF" in resp.json()["detail"]
assert "missing" in resp.json()["detail"].lower()
def test_csrf_middleware_blocks_post_with_mismatched_token():
"""POST with mismatched CSRF cookie/header → 403 with mismatch detail."""
client = TestClient(_make_csrf_app())
client.cookies.set(CSRF_COOKIE_NAME, "token-a")
resp = client.post(
"/api/v1/test/protected",
headers={CSRF_HEADER_NAME: "token-b"},
)
assert resp.status_code == 403
assert "mismatch" in resp.json()["detail"].lower()
def test_csrf_middleware_allows_post_with_matching_token():
"""POST with matching CSRF cookie/header → 200."""
client = TestClient(_make_csrf_app())
token = secrets.token_urlsafe(64)
client.cookies.set(CSRF_COOKIE_NAME, token)
resp = client.post(
"/api/v1/test/protected",
headers={CSRF_HEADER_NAME: token},
)
assert resp.status_code == 200
def test_csrf_middleware_allows_get_without_token():
"""GET requests bypass CSRF check."""
client = TestClient(_make_csrf_app())
resp = client.get("/api/v1/test/read")
assert resp.status_code == 200
def test_csrf_middleware_exempts_login_local():
"""POST to login/local is exempt from CSRF (no token yet)."""
client = TestClient(_make_csrf_app())
resp = client.post("/api/v1/auth/login/local")
assert resp.status_code == 200
def test_csrf_middleware_sets_cookie_on_auth_endpoint():
"""Auth endpoints should receive a CSRF cookie in response."""
client = TestClient(_make_csrf_app())
resp = client.post("/api/v1/auth/login/local")
assert CSRF_COOKIE_NAME in resp.cookies
# ── UserResponse edge cases ──────────────────────────────────────────
def test_user_response_missing_required_fields():
"""UserResponse with missing fields → ValidationError."""
from app.gateway.auth.models import UserResponse
with pytest.raises(ValidationError):
UserResponse(id="1") # missing email, system_role
with pytest.raises(ValidationError):
UserResponse(id="1", email="a@b.com") # missing system_role
def test_user_response_empty_string_role_rejected():
"""Empty string is not a valid role."""
from app.gateway.auth.models import UserResponse
with pytest.raises(ValidationError):
UserResponse(id="1", email="a@b.com", system_role="")
# ══════════════════════════════════════════════════════════════════════
# HTTP-LEVEL API CONTRACT TESTS
# ══════════════════════════════════════════════════════════════════════
def _make_auth_app():
"""Create FastAPI app with auth routes for contract testing."""
from app.gateway.app import create_app
return create_app()
def _get_auth_client():
"""Get TestClient for auth API contract tests."""
return TestClient(_make_auth_app())
def test_api_auth_me_no_cookie_returns_structured_401():
"""/api/v1/auth/me without cookie → 401 with {code: 'not_authenticated'}."""
_setup_config()
client = _get_auth_client()
resp = client.get("/api/v1/auth/me")
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "not_authenticated"
assert "message" in body["detail"]
def test_api_auth_me_expired_token_returns_structured_401():
"""/api/v1/auth/me with expired token → 401 with {code: 'token_expired'}."""
_setup_config()
expired = {"sub": "u1", "exp": datetime.now(UTC) - timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(expired, _TEST_SECRET, algorithm="HS256")
client = _get_auth_client()
client.cookies.set("access_token", token)
resp = client.get("/api/v1/auth/me")
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "token_expired"
def test_api_auth_me_invalid_sig_returns_structured_401():
"""/api/v1/auth/me with bad signature → 401 with {code: 'token_invalid'}."""
_setup_config()
payload = {"sub": "u1", "exp": datetime.now(UTC) + timedelta(hours=1), "iat": datetime.now(UTC)}
token = pyjwt.encode(payload, "wrong-key", algorithm="HS256")
client = _get_auth_client()
client.cookies.set("access_token", token)
resp = client.get("/api/v1/auth/me")
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "token_invalid"
def test_api_login_bad_credentials_returns_structured_401():
"""Login with wrong password → 401 with {code: 'invalid_credentials'}."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/login/local",
data={"username": "nonexistent@test.com", "password": "wrongpassword"},
)
assert resp.status_code == 401
body = resp.json()
assert body["detail"]["code"] == "invalid_credentials"
def test_api_login_success_no_token_in_body():
"""Successful login → response body has expires_in but NOT access_token."""
_setup_config()
client = _get_auth_client()
# Register first
client.post(
"/api/v1/auth/register",
json={"email": "contract-test@test.com", "password": "securepassword123"},
)
# Login
resp = client.post(
"/api/v1/auth/login/local",
data={"username": "contract-test@test.com", "password": "securepassword123"},
)
assert resp.status_code == 200
body = resp.json()
assert "expires_in" in body
assert "access_token" not in body
# Token should be in cookie, not body
assert "access_token" in resp.cookies
def test_api_register_duplicate_returns_structured_400():
"""Register with duplicate email → 400 with {code: 'email_already_exists'}."""
_setup_config()
client = _get_auth_client()
email = "dup-contract-test@test.com"
# First register
client.post("/api/v1/auth/register", json={"email": email, "password": "Tr0ub4dor3a"})
# Duplicate
resp = client.post("/api/v1/auth/register", json={"email": email, "password": "AnotherStr0ngPwd!"})
assert resp.status_code == 400
body = resp.json()
assert body["detail"]["code"] == "email_already_exists"
# ── Cookie security: HTTP vs HTTPS ────────────────────────────────────
def _unique_email(prefix: str) -> str:
return f"{prefix}-{secrets.token_hex(4)}@test.com"
def _get_set_cookie_headers(resp) -> list[str]:
"""Extract all set-cookie header values from a TestClient response."""
return [v for k, v in resp.headers.multi_items() if k.lower() == "set-cookie"]
def test_register_http_cookie_httponly_true_secure_false():
"""HTTP register → access_token cookie is httponly=True, secure=False, no max_age."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("http-cookie"), "password": "Tr0ub4dor3a"},
)
assert resp.status_code == 201
cookie_header = resp.headers.get("set-cookie", "")
assert "access_token=" in cookie_header
assert "httponly" in cookie_header.lower()
assert "secure" not in cookie_header.lower().replace("samesite", "")
def test_register_https_cookie_httponly_true_secure_true():
"""HTTPS register (x-forwarded-proto) → access_token cookie is httponly=True, secure=True, has max_age."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("https-cookie"), "password": "Tr0ub4dor3a"},
headers={"x-forwarded-proto": "https"},
)
assert resp.status_code == 201
cookie_header = resp.headers.get("set-cookie", "")
assert "access_token=" in cookie_header
assert "httponly" in cookie_header.lower()
assert "secure" in cookie_header.lower()
assert "max-age" in cookie_header.lower()
def test_login_https_sets_secure_cookie():
"""HTTPS login → access_token cookie has secure flag."""
_setup_config()
client = _get_auth_client()
email = _unique_email("https-login")
client.post("/api/v1/auth/register", json={"email": email, "password": "Tr0ub4dor3a"})
resp = client.post(
"/api/v1/auth/login/local",
data={"username": email, "password": "Tr0ub4dor3a"},
headers={"x-forwarded-proto": "https"},
)
assert resp.status_code == 200
cookie_header = resp.headers.get("set-cookie", "")
assert "access_token=" in cookie_header
assert "httponly" in cookie_header.lower()
assert "secure" in cookie_header.lower()
def test_csrf_cookie_secure_on_https():
"""HTTPS register → csrf_token cookie has secure flag but NOT httponly."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("csrf-https"), "password": "Tr0ub4dor3a"},
headers={"x-forwarded-proto": "https"},
)
assert resp.status_code == 201
csrf_cookies = [h for h in _get_set_cookie_headers(resp) if "csrf_token=" in h]
assert csrf_cookies, "csrf_token cookie not set on HTTPS register"
csrf_header = csrf_cookies[0]
assert "secure" in csrf_header.lower()
assert "httponly" not in csrf_header.lower()
def test_csrf_cookie_not_secure_on_http():
"""HTTP register → csrf_token cookie does NOT have secure flag."""
_setup_config()
client = _get_auth_client()
resp = client.post(
"/api/v1/auth/register",
json={"email": _unique_email("csrf-http"), "password": "Tr0ub4dor3a"},
)
assert resp.status_code == 201
csrf_cookies = [h for h in _get_set_cookie_headers(resp) if "csrf_token=" in h]
assert csrf_cookies, "csrf_token cookie not set on HTTP register"
csrf_header = csrf_cookies[0]
assert "secure" not in csrf_header.lower().replace("samesite", "")
+2 -1
View File
@@ -14,9 +14,10 @@ class TestCheckpointerNoneFix:
"""make_checkpointer should return InMemorySaver when config.checkpointer is None."""
from deerflow.agents.checkpointer.async_provider import make_checkpointer
# Mock get_app_config to return a config with checkpointer=None
# Mock get_app_config to return a config with checkpointer=None and database=None
mock_config = MagicMock()
mock_config.checkpointer = None
mock_config.database = None
with patch("deerflow.agents.checkpointer.async_provider.get_app_config", return_value=mock_config):
async with make_checkpointer() as checkpointer:
+188
View File
@@ -0,0 +1,188 @@
"""Tests for LangChain-to-OpenAI message format converters."""
from __future__ import annotations
import json
from unittest.mock import MagicMock
from deerflow.runtime.converters import (
langchain_messages_to_openai,
langchain_to_openai_completion,
langchain_to_openai_message,
)
def _make_ai_message(content="", tool_calls=None, id="msg-123", usage_metadata=None, response_metadata=None):
msg = MagicMock()
msg.type = "ai"
msg.content = content
msg.tool_calls = tool_calls or []
msg.id = id
msg.usage_metadata = usage_metadata
msg.response_metadata = response_metadata or {}
return msg
def _make_human_message(content="Hello"):
msg = MagicMock()
msg.type = "human"
msg.content = content
return msg
def _make_system_message(content="You are an assistant."):
msg = MagicMock()
msg.type = "system"
msg.content = content
return msg
def _make_tool_message(content="result", tool_call_id="call-abc"):
msg = MagicMock()
msg.type = "tool"
msg.content = content
msg.tool_call_id = tool_call_id
return msg
class TestLangchainToOpenaiMessage:
def test_ai_message_text_only(self):
msg = _make_ai_message(content="Hello world")
result = langchain_to_openai_message(msg)
assert result["role"] == "assistant"
assert result["content"] == "Hello world"
assert "tool_calls" not in result
def test_ai_message_with_tool_calls(self):
tool_calls = [
{"id": "call-1", "name": "bash", "args": {"command": "ls"}},
]
msg = _make_ai_message(content="", tool_calls=tool_calls)
result = langchain_to_openai_message(msg)
assert result["role"] == "assistant"
assert result["content"] is None
assert len(result["tool_calls"]) == 1
tc = result["tool_calls"][0]
assert tc["id"] == "call-1"
assert tc["type"] == "function"
assert tc["function"]["name"] == "bash"
# arguments must be a JSON string
args = json.loads(tc["function"]["arguments"])
assert args == {"command": "ls"}
def test_ai_message_text_and_tool_calls(self):
tool_calls = [
{"id": "call-2", "name": "read_file", "args": {"path": "/tmp/x"}},
]
msg = _make_ai_message(content="Reading the file", tool_calls=tool_calls)
result = langchain_to_openai_message(msg)
assert result["role"] == "assistant"
assert result["content"] == "Reading the file"
assert len(result["tool_calls"]) == 1
def test_ai_message_empty_content_no_tools(self):
msg = _make_ai_message(content="")
result = langchain_to_openai_message(msg)
assert result["role"] == "assistant"
assert result["content"] == ""
assert "tool_calls" not in result
def test_ai_message_list_content(self):
# Multimodal content is preserved as-is
list_content = [
{"type": "text", "text": "Here is an image"},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,abc"}},
]
msg = _make_ai_message(content=list_content)
result = langchain_to_openai_message(msg)
assert result["role"] == "assistant"
assert result["content"] == list_content
def test_human_message(self):
msg = _make_human_message("Tell me a joke")
result = langchain_to_openai_message(msg)
assert result["role"] == "user"
assert result["content"] == "Tell me a joke"
def test_tool_message(self):
msg = _make_tool_message(content="file contents here", tool_call_id="call-xyz")
result = langchain_to_openai_message(msg)
assert result["role"] == "tool"
assert result["tool_call_id"] == "call-xyz"
assert result["content"] == "file contents here"
def test_system_message(self):
msg = _make_system_message("You are a helpful assistant.")
result = langchain_to_openai_message(msg)
assert result["role"] == "system"
assert result["content"] == "You are a helpful assistant."
class TestLangchainToOpenaiCompletion:
def test_basic_completion(self):
usage_metadata = {"input_tokens": 10, "output_tokens": 20}
msg = _make_ai_message(
content="Hello",
id="msg-abc",
usage_metadata=usage_metadata,
response_metadata={"model_name": "gpt-4o", "finish_reason": "stop"},
)
result = langchain_to_openai_completion(msg)
assert result["id"] == "msg-abc"
assert result["model"] == "gpt-4o"
assert len(result["choices"]) == 1
choice = result["choices"][0]
assert choice["index"] == 0
assert choice["finish_reason"] == "stop"
assert choice["message"]["role"] == "assistant"
assert choice["message"]["content"] == "Hello"
assert result["usage"] is not None
assert result["usage"]["prompt_tokens"] == 10
assert result["usage"]["completion_tokens"] == 20
assert result["usage"]["total_tokens"] == 30
def test_completion_with_tool_calls(self):
tool_calls = [{"id": "call-1", "name": "bash", "args": {}}]
msg = _make_ai_message(
content="",
tool_calls=tool_calls,
id="msg-tc",
response_metadata={"model_name": "gpt-4o"},
)
result = langchain_to_openai_completion(msg)
assert result["choices"][0]["finish_reason"] == "tool_calls"
def test_completion_no_usage(self):
msg = _make_ai_message(content="Hi", id="msg-nousage", usage_metadata=None)
result = langchain_to_openai_completion(msg)
assert result["usage"] is None
def test_finish_reason_from_response_metadata(self):
msg = _make_ai_message(
content="Done",
id="msg-fr",
response_metadata={"model_name": "claude-3", "finish_reason": "end_turn"},
)
result = langchain_to_openai_completion(msg)
assert result["choices"][0]["finish_reason"] == "end_turn"
def test_finish_reason_default_stop(self):
msg = _make_ai_message(content="Done", id="msg-defstop", response_metadata={})
result = langchain_to_openai_completion(msg)
assert result["choices"][0]["finish_reason"] == "stop"
class TestMessagesToOpenai:
def test_convert_message_list(self):
human = _make_human_message("Hi")
ai = _make_ai_message(content="Hello!")
tool_msg = _make_tool_message("result", "call-1")
messages = [human, ai, tool_msg]
result = langchain_messages_to_openai(messages)
assert len(result) == 3
assert result[0]["role"] == "user"
assert result[1]["role"] == "assistant"
assert result[2]["role"] == "tool"
def test_empty_list(self):
assert langchain_messages_to_openai([]) == []
+319
View File
@@ -0,0 +1,319 @@
"""Tests for _ensure_admin_user() in app.py.
Covers: first-boot admin creation, auto-reset on needs_setup=True,
no-op on needs_setup=False, migration, and edge cases.
"""
import asyncio
import os
from datetime import UTC, datetime, timedelta
from types import SimpleNamespace
from unittest.mock import AsyncMock, patch
import pytest
os.environ.setdefault("AUTH_JWT_SECRET", "test-secret-key-ensure-admin-testing-min-32")
from app.gateway.auth.config import AuthConfig, set_auth_config
from app.gateway.auth.models import User
_JWT_SECRET = "test-secret-key-ensure-admin-testing-min-32"
@pytest.fixture(autouse=True)
def _setup_auth_config():
set_auth_config(AuthConfig(jwt_secret=_JWT_SECRET))
yield
set_auth_config(AuthConfig(jwt_secret=_JWT_SECRET))
def _make_app_stub(store=None):
"""Minimal app-like object with state.store."""
app = SimpleNamespace()
app.state = SimpleNamespace()
app.state.store = store
return app
def _make_provider(user_count=0, admin_user=None):
p = AsyncMock()
p.count_users = AsyncMock(return_value=user_count)
p.create_user = AsyncMock(
side_effect=lambda **kw: User(
email=kw["email"],
password_hash="hashed",
system_role=kw.get("system_role", "user"),
needs_setup=kw.get("needs_setup", False),
)
)
p.get_user_by_email = AsyncMock(return_value=admin_user)
p.update_user = AsyncMock(side_effect=lambda u: u)
return p
# ── First boot: no users ─────────────────────────────────────────────────
def test_first_boot_creates_admin():
"""count_users==0 → create admin with needs_setup=True."""
provider = _make_provider(user_count=0)
app = _make_app_stub()
with patch("app.gateway.deps.get_local_provider", return_value=provider):
with patch("app.gateway.auth.password.hash_password_async", new_callable=AsyncMock, return_value="hashed"):
from app.gateway.app import _ensure_admin_user
asyncio.run(_ensure_admin_user(app))
provider.create_user.assert_called_once()
call_kwargs = provider.create_user.call_args[1]
assert call_kwargs["email"] == "admin@deerflow.dev"
assert call_kwargs["system_role"] == "admin"
assert call_kwargs["needs_setup"] is True
assert len(call_kwargs["password"]) > 10 # random password generated
def test_first_boot_triggers_migration_if_store_present():
"""First boot with store → _migrate_orphaned_threads called."""
provider = _make_provider(user_count=0)
store = AsyncMock()
store.asearch = AsyncMock(return_value=[])
app = _make_app_stub(store=store)
with patch("app.gateway.deps.get_local_provider", return_value=provider):
with patch("app.gateway.auth.password.hash_password_async", new_callable=AsyncMock, return_value="hashed"):
from app.gateway.app import _ensure_admin_user
asyncio.run(_ensure_admin_user(app))
store.asearch.assert_called_once()
def test_first_boot_no_store_skips_migration():
"""First boot without store → no crash, migration skipped."""
provider = _make_provider(user_count=0)
app = _make_app_stub(store=None)
with patch("app.gateway.deps.get_local_provider", return_value=provider):
with patch("app.gateway.auth.password.hash_password_async", new_callable=AsyncMock, return_value="hashed"):
from app.gateway.app import _ensure_admin_user
asyncio.run(_ensure_admin_user(app))
provider.create_user.assert_called_once()
# ── Subsequent boot: needs_setup=True → auto-reset ───────────────────────
def test_needs_setup_true_resets_password():
"""Existing admin with needs_setup=True → password reset + token_version bumped."""
admin = User(
email="admin@deerflow.dev",
password_hash="old-hash",
system_role="admin",
needs_setup=True,
token_version=0,
created_at=datetime.now(UTC) - timedelta(seconds=30),
)
provider = _make_provider(user_count=1, admin_user=admin)
app = _make_app_stub()
with patch("app.gateway.deps.get_local_provider", return_value=provider):
with patch("app.gateway.auth.password.hash_password_async", new_callable=AsyncMock, return_value="new-hash"):
from app.gateway.app import _ensure_admin_user
asyncio.run(_ensure_admin_user(app))
# Password was reset
provider.update_user.assert_called_once()
updated = provider.update_user.call_args[0][0]
assert updated.password_hash == "new-hash"
assert updated.token_version == 1
def test_needs_setup_true_consecutive_resets_increment_version():
"""Two boots with needs_setup=True → token_version increments each time."""
admin = User(
email="admin@deerflow.dev",
password_hash="hash",
system_role="admin",
needs_setup=True,
token_version=3,
created_at=datetime.now(UTC) - timedelta(seconds=30),
)
provider = _make_provider(user_count=1, admin_user=admin)
app = _make_app_stub()
with patch("app.gateway.deps.get_local_provider", return_value=provider):
with patch("app.gateway.auth.password.hash_password_async", new_callable=AsyncMock, return_value="new-hash"):
from app.gateway.app import _ensure_admin_user
asyncio.run(_ensure_admin_user(app))
updated = provider.update_user.call_args[0][0]
assert updated.token_version == 4
# ── Subsequent boot: needs_setup=False → no-op ──────────────────────────
def test_needs_setup_false_no_reset():
"""Admin with needs_setup=False → no password reset, no update."""
admin = User(
email="admin@deerflow.dev",
password_hash="stable-hash",
system_role="admin",
needs_setup=False,
token_version=2,
)
provider = _make_provider(user_count=1, admin_user=admin)
app = _make_app_stub()
with patch("app.gateway.deps.get_local_provider", return_value=provider):
from app.gateway.app import _ensure_admin_user
asyncio.run(_ensure_admin_user(app))
provider.update_user.assert_not_called()
assert admin.password_hash == "stable-hash"
assert admin.token_version == 2
# ── Edge cases ───────────────────────────────────────────────────────────
def test_no_admin_email_found_no_crash():
"""Users exist but no admin@deerflow.dev → no crash, no reset."""
provider = _make_provider(user_count=3, admin_user=None)
app = _make_app_stub()
with patch("app.gateway.deps.get_local_provider", return_value=provider):
from app.gateway.app import _ensure_admin_user
asyncio.run(_ensure_admin_user(app))
provider.update_user.assert_not_called()
provider.create_user.assert_not_called()
def test_migration_failure_is_non_fatal():
"""_migrate_orphaned_threads exception is caught and logged."""
provider = _make_provider(user_count=0)
store = AsyncMock()
store.asearch = AsyncMock(side_effect=RuntimeError("store crashed"))
app = _make_app_stub(store=store)
with patch("app.gateway.deps.get_local_provider", return_value=provider):
with patch("app.gateway.auth.password.hash_password_async", new_callable=AsyncMock, return_value="hashed"):
from app.gateway.app import _ensure_admin_user
# Should not raise
asyncio.run(_ensure_admin_user(app))
provider.create_user.assert_called_once()
# ── Section 5.1-5.6 upgrade path: orphan thread migration ────────────────
def test_migrate_orphaned_threads_stamps_owner_id_on_unowned_rows():
"""First boot finds Store-only legacy threads → stamps admin's id.
Validates the **TC-UPG-02 upgrade story**: an operator running main
(no auth) accumulates threads in the LangGraph Store namespace
``("threads",)`` with no ``metadata.owner_id``. After upgrading to
feat/auth-on-2.0-rc, the first ``_ensure_admin_user`` boot should
rewrite each unowned item with the freshly created admin's id.
"""
from app.gateway.app import _migrate_orphaned_threads
# Three orphan items + one already-owned item that should be left alone.
items = [
SimpleNamespace(key="t1", value={"metadata": {"title": "old-thread-1"}}),
SimpleNamespace(key="t2", value={"metadata": {"title": "old-thread-2"}}),
SimpleNamespace(key="t3", value={"metadata": {}}),
SimpleNamespace(key="t4", value={"metadata": {"owner_id": "someone-else", "title": "preserved"}}),
]
store = AsyncMock()
# asearch returns the entire batch on first call, then an empty page
# to terminate _iter_store_items.
store.asearch = AsyncMock(side_effect=[items, []])
aput_calls: list[tuple[tuple, str, dict]] = []
async def _record_aput(namespace, key, value):
aput_calls.append((namespace, key, value))
store.aput = AsyncMock(side_effect=_record_aput)
migrated = asyncio.run(_migrate_orphaned_threads(store, "admin-id-42"))
# Three orphan rows migrated, one preserved.
assert migrated == 3
assert len(aput_calls) == 3
rewritten_keys = {call[1] for call in aput_calls}
assert rewritten_keys == {"t1", "t2", "t3"}
# Each rewrite carries the new owner_id; titles preserved where present.
by_key = {call[1]: call[2] for call in aput_calls}
assert by_key["t1"]["metadata"]["owner_id"] == "admin-id-42"
assert by_key["t1"]["metadata"]["title"] == "old-thread-1"
assert by_key["t3"]["metadata"]["owner_id"] == "admin-id-42"
# The pre-owned item must NOT have been rewritten.
assert "t4" not in rewritten_keys
def test_migrate_orphaned_threads_empty_store_is_noop():
"""A store with no threads → migrated == 0, no aput calls."""
from app.gateway.app import _migrate_orphaned_threads
store = AsyncMock()
store.asearch = AsyncMock(return_value=[])
store.aput = AsyncMock()
migrated = asyncio.run(_migrate_orphaned_threads(store, "admin-id-42"))
assert migrated == 0
store.aput.assert_not_called()
def test_iter_store_items_walks_multiple_pages():
"""Cursor-style iterator pulls every page until a short page terminates.
Closes the regression where the old hardcoded ``limit=1000`` could
silently drop orphans on a large pre-upgrade dataset. The migration
code path uses the default ``page_size=500``; this test pins the
iterator with ``page_size=2`` so it stays fast.
"""
from app.gateway.app import _iter_store_items
page_a = [SimpleNamespace(key=f"t{i}", value={"metadata": {}}) for i in range(2)]
page_b = [SimpleNamespace(key=f"t{i + 2}", value={"metadata": {}}) for i in range(2)]
page_c: list = [] # short page → loop terminates
store = AsyncMock()
store.asearch = AsyncMock(side_effect=[page_a, page_b, page_c])
async def _collect():
return [item.key async for item in _iter_store_items(store, ("threads",), page_size=2)]
keys = asyncio.run(_collect())
assert keys == ["t0", "t1", "t2", "t3"]
# Three asearch calls: full batch, full batch, empty terminator
assert store.asearch.await_count == 3
def test_iter_store_items_terminates_on_short_page():
"""A short page (len < page_size) ends the loop without an extra call."""
from app.gateway.app import _iter_store_items
page = [SimpleNamespace(key=f"t{i}", value={}) for i in range(3)]
store = AsyncMock()
store.asearch = AsyncMock(return_value=page)
async def _collect():
return [item.key async for item in _iter_store_items(store, ("threads",), page_size=10)]
keys = asyncio.run(_collect())
assert keys == ["t0", "t1", "t2"]
# Only one call — no terminator probe needed because len(batch) < page_size
assert store.asearch.await_count == 1
+215
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@@ -0,0 +1,215 @@
"""Tests for FeedbackRepository and follow-up association.
Uses temp SQLite DB for ORM tests.
"""
import pytest
from deerflow.persistence.feedback import FeedbackRepository
async def _make_feedback_repo(tmp_path):
from deerflow.persistence.engine import get_session_factory, init_engine
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
return FeedbackRepository(get_session_factory())
async def _cleanup():
from deerflow.persistence.engine import close_engine
await close_engine()
# -- FeedbackRepository --
class TestFeedbackRepository:
@pytest.mark.anyio
async def test_create_positive(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
record = await repo.create(run_id="r1", thread_id="t1", rating=1)
assert record["feedback_id"]
assert record["rating"] == 1
assert record["run_id"] == "r1"
assert record["thread_id"] == "t1"
assert "created_at" in record
await _cleanup()
@pytest.mark.anyio
async def test_create_negative_with_comment(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
record = await repo.create(
run_id="r1",
thread_id="t1",
rating=-1,
comment="Response was inaccurate",
)
assert record["rating"] == -1
assert record["comment"] == "Response was inaccurate"
await _cleanup()
@pytest.mark.anyio
async def test_create_with_message_id(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
record = await repo.create(run_id="r1", thread_id="t1", rating=1, message_id="msg-42")
assert record["message_id"] == "msg-42"
await _cleanup()
@pytest.mark.anyio
async def test_create_with_owner(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
record = await repo.create(run_id="r1", thread_id="t1", rating=1, owner_id="user-1")
assert record["owner_id"] == "user-1"
await _cleanup()
@pytest.mark.anyio
async def test_create_invalid_rating_zero(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
with pytest.raises(ValueError):
await repo.create(run_id="r1", thread_id="t1", rating=0)
await _cleanup()
@pytest.mark.anyio
async def test_create_invalid_rating_five(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
with pytest.raises(ValueError):
await repo.create(run_id="r1", thread_id="t1", rating=5)
await _cleanup()
@pytest.mark.anyio
async def test_get(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
created = await repo.create(run_id="r1", thread_id="t1", rating=1)
fetched = await repo.get(created["feedback_id"])
assert fetched is not None
assert fetched["feedback_id"] == created["feedback_id"]
assert fetched["rating"] == 1
await _cleanup()
@pytest.mark.anyio
async def test_get_nonexistent(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
assert await repo.get("nonexistent") is None
await _cleanup()
@pytest.mark.anyio
async def test_list_by_run(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
await repo.create(run_id="r1", thread_id="t1", rating=1)
await repo.create(run_id="r1", thread_id="t1", rating=-1)
await repo.create(run_id="r2", thread_id="t1", rating=1)
results = await repo.list_by_run("t1", "r1")
assert len(results) == 2
assert all(r["run_id"] == "r1" for r in results)
await _cleanup()
@pytest.mark.anyio
async def test_list_by_thread(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
await repo.create(run_id="r1", thread_id="t1", rating=1)
await repo.create(run_id="r2", thread_id="t1", rating=-1)
await repo.create(run_id="r3", thread_id="t2", rating=1)
results = await repo.list_by_thread("t1")
assert len(results) == 2
assert all(r["thread_id"] == "t1" for r in results)
await _cleanup()
@pytest.mark.anyio
async def test_delete(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
created = await repo.create(run_id="r1", thread_id="t1", rating=1)
deleted = await repo.delete(created["feedback_id"])
assert deleted is True
assert await repo.get(created["feedback_id"]) is None
await _cleanup()
@pytest.mark.anyio
async def test_delete_nonexistent(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
deleted = await repo.delete("nonexistent")
assert deleted is False
await _cleanup()
@pytest.mark.anyio
async def test_aggregate_by_run(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
await repo.create(run_id="r1", thread_id="t1", rating=1)
await repo.create(run_id="r1", thread_id="t1", rating=1)
await repo.create(run_id="r1", thread_id="t1", rating=-1)
stats = await repo.aggregate_by_run("t1", "r1")
assert stats["total"] == 3
assert stats["positive"] == 2
assert stats["negative"] == 1
assert stats["run_id"] == "r1"
await _cleanup()
@pytest.mark.anyio
async def test_aggregate_empty(self, tmp_path):
repo = await _make_feedback_repo(tmp_path)
stats = await repo.aggregate_by_run("t1", "r1")
assert stats["total"] == 0
assert stats["positive"] == 0
assert stats["negative"] == 0
await _cleanup()
# -- Follow-up association --
class TestFollowUpAssociation:
@pytest.mark.anyio
async def test_run_records_follow_up_via_memory_store(self):
"""MemoryRunStore stores follow_up_to_run_id in kwargs."""
from deerflow.runtime.runs.store.memory import MemoryRunStore
store = MemoryRunStore()
await store.put("r1", thread_id="t1", status="success")
# MemoryRunStore doesn't have follow_up_to_run_id as a top-level param,
# but it can be passed via metadata
await store.put("r2", thread_id="t1", metadata={"follow_up_to_run_id": "r1"})
run = await store.get("r2")
assert run["metadata"]["follow_up_to_run_id"] == "r1"
@pytest.mark.anyio
async def test_human_message_has_follow_up_metadata(self):
"""human_message event metadata includes follow_up_to_run_id."""
from deerflow.runtime.events.store.memory import MemoryRunEventStore
event_store = MemoryRunEventStore()
await event_store.put(
thread_id="t1",
run_id="r2",
event_type="human_message",
category="message",
content="Tell me more about that",
metadata={"follow_up_to_run_id": "r1"},
)
messages = await event_store.list_messages("t1")
assert messages[0]["metadata"]["follow_up_to_run_id"] == "r1"
@pytest.mark.anyio
async def test_follow_up_auto_detection_logic(self):
"""Simulate the auto-detection: latest successful run becomes follow_up_to."""
from deerflow.runtime.runs.store.memory import MemoryRunStore
store = MemoryRunStore()
await store.put("r1", thread_id="t1", status="success")
await store.put("r2", thread_id="t1", status="error")
# Auto-detect: list_by_thread returns newest first
recent = await store.list_by_thread("t1", limit=1)
follow_up = None
if recent and recent[0].get("status") == "success":
follow_up = recent[0]["run_id"]
# r2 (error) is newest, so no follow_up detected
assert follow_up is None
# Now add a successful run
await store.put("r3", thread_id="t1", status="success")
recent = await store.list_by_thread("t1", limit=1)
follow_up = None
if recent and recent[0].get("status") == "success":
follow_up = recent[0]["run_id"]
assert follow_up == "r3"
+312
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@@ -0,0 +1,312 @@
"""Tests for LangGraph Server auth handler (langgraph_auth.py).
Validates that the LangGraph auth layer enforces the same rules as Gateway:
cookie JWT decode DB lookup token_version check owner filter
"""
import asyncio
import os
from datetime import timedelta
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import AsyncMock, patch
from uuid import uuid4
import pytest
os.environ.setdefault("AUTH_JWT_SECRET", "test-secret-key-for-langgraph-auth-testing-min-32")
from langgraph_sdk import Auth
from app.gateway.auth.config import AuthConfig, set_auth_config
from app.gateway.auth.jwt import create_access_token, decode_token
from app.gateway.auth.models import User
from app.gateway.langgraph_auth import add_owner_filter, authenticate
# ── Helpers ───────────────────────────────────────────────────────────────
_JWT_SECRET = "test-secret-key-for-langgraph-auth-testing-min-32"
@pytest.fixture(autouse=True)
def _setup_auth_config():
set_auth_config(AuthConfig(jwt_secret=_JWT_SECRET))
yield
set_auth_config(AuthConfig(jwt_secret=_JWT_SECRET))
def _req(cookies=None, method="GET", headers=None):
return SimpleNamespace(cookies=cookies or {}, method=method, headers=headers or {})
def _user(user_id=None, token_version=0):
return User(email="test@example.com", password_hash="fakehash", system_role="user", id=user_id or uuid4(), token_version=token_version)
def _mock_provider(user=None):
p = AsyncMock()
p.get_user = AsyncMock(return_value=user)
return p
# ── @auth.authenticate ───────────────────────────────────────────────────
def test_no_cookie_raises_401():
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req()))
assert exc.value.status_code == 401
assert "Not authenticated" in str(exc.value.detail)
def test_invalid_jwt_raises_401():
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req({"access_token": "garbage"})))
assert exc.value.status_code == 401
assert "Token error" in str(exc.value.detail)
def test_expired_jwt_raises_401():
token = create_access_token("user-1", expires_delta=timedelta(seconds=-1))
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req({"access_token": token})))
assert exc.value.status_code == 401
def test_user_not_found_raises_401():
token = create_access_token("ghost")
with patch("app.gateway.langgraph_auth.get_local_provider", return_value=_mock_provider(None)):
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req({"access_token": token})))
assert exc.value.status_code == 401
assert "User not found" in str(exc.value.detail)
def test_token_version_mismatch_raises_401():
user = _user(token_version=2)
token = create_access_token(str(user.id), token_version=1)
with patch("app.gateway.langgraph_auth.get_local_provider", return_value=_mock_provider(user)):
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req({"access_token": token})))
assert exc.value.status_code == 401
assert "revoked" in str(exc.value.detail).lower()
def test_valid_token_returns_user_id():
user = _user(token_version=0)
token = create_access_token(str(user.id), token_version=0)
with patch("app.gateway.langgraph_auth.get_local_provider", return_value=_mock_provider(user)):
result = asyncio.run(authenticate(_req({"access_token": token})))
assert result == str(user.id)
def test_valid_token_matching_version():
user = _user(token_version=5)
token = create_access_token(str(user.id), token_version=5)
with patch("app.gateway.langgraph_auth.get_local_provider", return_value=_mock_provider(user)):
result = asyncio.run(authenticate(_req({"access_token": token})))
assert result == str(user.id)
# ── @auth.authenticate edge cases ────────────────────────────────────────
def test_provider_exception_propagates():
"""Provider raises → should not be swallowed silently."""
token = create_access_token("user-1")
p = AsyncMock()
p.get_user = AsyncMock(side_effect=RuntimeError("DB down"))
with patch("app.gateway.langgraph_auth.get_local_provider", return_value=p):
with pytest.raises(RuntimeError, match="DB down"):
asyncio.run(authenticate(_req({"access_token": token})))
def test_jwt_missing_ver_defaults_to_zero():
"""JWT without 'ver' claim → decoded as ver=0, matches user with token_version=0."""
import jwt as pyjwt
uid = str(uuid4())
raw = pyjwt.encode({"sub": uid, "exp": 9999999999, "iat": 1000000000}, _JWT_SECRET, algorithm="HS256")
user = _user(user_id=uid, token_version=0)
with patch("app.gateway.langgraph_auth.get_local_provider", return_value=_mock_provider(user)):
result = asyncio.run(authenticate(_req({"access_token": raw})))
assert result == uid
def test_jwt_missing_ver_rejected_when_user_version_nonzero():
"""JWT without 'ver' (defaults 0) vs user with token_version=1 → 401."""
import jwt as pyjwt
uid = str(uuid4())
raw = pyjwt.encode({"sub": uid, "exp": 9999999999, "iat": 1000000000}, _JWT_SECRET, algorithm="HS256")
user = _user(user_id=uid, token_version=1)
with patch("app.gateway.langgraph_auth.get_local_provider", return_value=_mock_provider(user)):
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req({"access_token": raw})))
assert exc.value.status_code == 401
def test_wrong_secret_raises_401():
"""Token signed with different secret → 401."""
import jwt as pyjwt
raw = pyjwt.encode({"sub": "user-1", "exp": 9999999999, "ver": 0}, "wrong-secret-that-is-long-enough-32chars!", algorithm="HS256")
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req({"access_token": raw})))
assert exc.value.status_code == 401
# ── @auth.on (owner filter) ──────────────────────────────────────────────
class _FakeUser:
"""Minimal BaseUser-compatible object without langgraph_api.config dependency."""
def __init__(self, identity: str):
self.identity = identity
self.is_authenticated = True
self.display_name = identity
def _make_ctx(user_id):
return Auth.types.AuthContext(resource="threads", action="create", user=_FakeUser(user_id), permissions=[])
def test_filter_injects_user_id():
value = {}
asyncio.run(add_owner_filter(_make_ctx("user-a"), value))
assert value["metadata"]["owner_id"] == "user-a"
def test_filter_preserves_existing_metadata():
value = {"metadata": {"title": "hello"}}
asyncio.run(add_owner_filter(_make_ctx("user-a"), value))
assert value["metadata"]["owner_id"] == "user-a"
assert value["metadata"]["title"] == "hello"
def test_filter_returns_user_id_dict():
result = asyncio.run(add_owner_filter(_make_ctx("user-x"), {}))
assert result == {"owner_id": "user-x"}
def test_filter_read_write_consistency():
value = {}
filter_dict = asyncio.run(add_owner_filter(_make_ctx("user-1"), value))
assert value["metadata"]["owner_id"] == filter_dict["owner_id"]
def test_different_users_different_filters():
f_a = asyncio.run(add_owner_filter(_make_ctx("a"), {}))
f_b = asyncio.run(add_owner_filter(_make_ctx("b"), {}))
assert f_a["owner_id"] != f_b["owner_id"]
def test_filter_overrides_conflicting_user_id():
"""If value already has a different user_id in metadata, it gets overwritten."""
value = {"metadata": {"owner_id": "attacker"}}
asyncio.run(add_owner_filter(_make_ctx("real-owner"), value))
assert value["metadata"]["owner_id"] == "real-owner"
def test_filter_with_empty_metadata():
"""Explicit empty metadata dict is fine."""
value = {"metadata": {}}
result = asyncio.run(add_owner_filter(_make_ctx("user-z"), value))
assert value["metadata"]["owner_id"] == "user-z"
assert result == {"owner_id": "user-z"}
# ── Gateway parity ───────────────────────────────────────────────────────
def test_shared_jwt_secret():
token = create_access_token("user-1", token_version=3)
payload = decode_token(token)
from app.gateway.auth.errors import TokenError
assert not isinstance(payload, TokenError)
assert payload.sub == "user-1"
assert payload.ver == 3
def test_langgraph_json_has_auth_path():
import json
config = json.loads((Path(__file__).parent.parent / "langgraph.json").read_text())
assert "auth" in config
assert "langgraph_auth" in config["auth"]["path"]
def test_auth_handler_has_both_layers():
from app.gateway.langgraph_auth import auth
assert auth._authenticate_handler is not None
assert len(auth._global_handlers) == 1
# ── CSRF in LangGraph auth ──────────────────────────────────────────────
def test_csrf_get_no_check():
"""GET requests skip CSRF — should proceed to JWT validation."""
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req(method="GET")))
# Rejected by missing cookie, NOT by CSRF
assert exc.value.status_code == 401
assert "Not authenticated" in str(exc.value.detail)
def test_csrf_post_missing_token():
"""POST without CSRF token → 403."""
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req(method="POST", cookies={"access_token": "some-jwt"})))
assert exc.value.status_code == 403
assert "CSRF token missing" in str(exc.value.detail)
def test_csrf_post_mismatched_token():
"""POST with mismatched CSRF tokens → 403."""
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(
authenticate(
_req(
method="POST",
cookies={"access_token": "some-jwt", "csrf_token": "real-token"},
headers={"x-csrf-token": "wrong-token"},
)
)
)
assert exc.value.status_code == 403
assert "mismatch" in str(exc.value.detail)
def test_csrf_post_matching_token_proceeds_to_jwt():
"""POST with matching CSRF tokens passes CSRF check, then fails on JWT."""
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(
authenticate(
_req(
method="POST",
cookies={"access_token": "garbage", "csrf_token": "same-token"},
headers={"x-csrf-token": "same-token"},
)
)
)
# Past CSRF, rejected by JWT decode
assert exc.value.status_code == 401
assert "Token error" in str(exc.value.detail)
def test_csrf_put_requires_token():
"""PUT also requires CSRF."""
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req(method="PUT", cookies={"access_token": "jwt"})))
assert exc.value.status_code == 403
def test_csrf_delete_requires_token():
"""DELETE also requires CSRF."""
with pytest.raises(Auth.exceptions.HTTPException) as exc:
asyncio.run(authenticate(_req(method="DELETE", cookies={"access_token": "jwt"})))
assert exc.value.status_code == 403
@@ -146,8 +146,11 @@ def test_create_summarization_middleware_uses_configured_model_alias(monkeypatch
lambda: SummarizationConfig(enabled=True, model_name="model-masswork"),
)
from unittest.mock import MagicMock
captured: dict[str, object] = {}
fake_model = object()
fake_model = MagicMock()
fake_model.with_config.return_value = fake_model
def _fake_create_chat_model(*, name=None, thinking_enabled, reasoning_effort=None):
captured["name"] = name
@@ -163,3 +166,4 @@ def test_create_summarization_middleware_uses_configured_model_alias(monkeypatch
assert captured["name"] == "model-masswork"
assert captured["thinking_enabled"] is False
assert middleware["model"] is fake_model
fake_model.with_config.assert_called_once_with(tags=["middleware:summarize"])
+78
View File
@@ -793,6 +793,84 @@ def test_thinking_disabled_vllm_enable_thinking_format(monkeypatch):
assert captured.get("reasoning_effort") is None
# ---------------------------------------------------------------------------
# stream_usage injection
# ---------------------------------------------------------------------------
class _FakeWithStreamUsage(FakeChatModel):
"""Fake model that declares stream_usage in model_fields (like BaseChatOpenAI)."""
stream_usage: bool | None = None
def test_stream_usage_injected_for_openai_compatible_model(monkeypatch):
"""Factory should set stream_usage=True for models with stream_usage field."""
cfg = _make_app_config([_make_model("deepseek", use="langchain_deepseek:ChatDeepSeek")])
_patch_factory(monkeypatch, cfg, model_class=_FakeWithStreamUsage)
captured: dict = {}
class CapturingModel(_FakeWithStreamUsage):
def __init__(self, **kwargs):
captured.update(kwargs)
BaseChatModel.__init__(self, **kwargs)
monkeypatch.setattr(factory_module, "resolve_class", lambda path, base: CapturingModel)
factory_module.create_chat_model(name="deepseek")
assert captured.get("stream_usage") is True
def test_stream_usage_not_injected_for_non_openai_model(monkeypatch):
"""Factory should NOT inject stream_usage for models without the field."""
cfg = _make_app_config([_make_model("claude", use="langchain_anthropic:ChatAnthropic")])
_patch_factory(monkeypatch, cfg)
captured: dict = {}
class CapturingModel(FakeChatModel):
def __init__(self, **kwargs):
captured.update(kwargs)
BaseChatModel.__init__(self, **kwargs)
monkeypatch.setattr(factory_module, "resolve_class", lambda path, base: CapturingModel)
factory_module.create_chat_model(name="claude")
assert "stream_usage" not in captured
def test_stream_usage_not_overridden_when_explicitly_set_in_config(monkeypatch):
"""If config dumps stream_usage=False, factory should respect it."""
cfg = _make_app_config([_make_model("deepseek", use="langchain_deepseek:ChatDeepSeek")])
_patch_factory(monkeypatch, cfg, model_class=_FakeWithStreamUsage)
captured: dict = {}
class CapturingModel(_FakeWithStreamUsage):
def __init__(self, **kwargs):
captured.update(kwargs)
BaseChatModel.__init__(self, **kwargs)
monkeypatch.setattr(factory_module, "resolve_class", lambda path, base: CapturingModel)
# Simulate config having stream_usage explicitly set by patching model_dump
original_get_model_config = cfg.get_model_config
def patched_get_model_config(name):
mc = original_get_model_config(name)
mc.stream_usage = False # type: ignore[attr-defined]
return mc
monkeypatch.setattr(cfg, "get_model_config", patched_get_model_config)
factory_module.create_chat_model(name="deepseek")
assert captured.get("stream_usage") is False
def test_openai_responses_api_settings_are_passed_to_chatopenai(monkeypatch):
model = ModelConfig(
name="gpt-5-responses",
+465
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@@ -0,0 +1,465 @@
"""Cross-user isolation tests — non-negotiable safety gate.
Mirrors TC-API-17..20 from backend/docs/AUTH_TEST_PLAN.md. A failure
here means users can see each other's data; PR must not merge.
Architecture note
-----------------
These tests bypass the HTTP layer and exercise the storage-layer
owner filter directly by switching the ``user_context`` contextvar
between two users. The safety property under test is:
After a repository write with owner_id=A, a subsequent read with
owner_id=B must not return the row, and vice versa.
The HTTP layer is covered by test_auth_middleware.py, which proves
that a request cookie reaches the ``set_current_user`` call. Together
the two suites prove the full chain:
cookie middleware contextvar repository isolation
Every test in this file opts out of the autouse contextvar fixture
(``@pytest.mark.no_auto_user``) so it can set the contextvar to the
specific users it cares about.
"""
from __future__ import annotations
from types import SimpleNamespace
import pytest
from deerflow.runtime.user_context import (
reset_current_user,
set_current_user,
)
USER_A = SimpleNamespace(id="user-a", email="a@test.local")
USER_B = SimpleNamespace(id="user-b", email="b@test.local")
async def _make_engines(tmp_path):
"""Initialize the shared engine against a per-test SQLite DB.
Returns a cleanup coroutine the caller should await at the end.
"""
from deerflow.persistence.engine import close_engine, init_engine
url = f"sqlite+aiosqlite:///{tmp_path / 'isolation.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
return close_engine
def _as_user(user):
"""Context manager-like helper that set/reset the contextvar."""
class _Ctx:
def __enter__(self):
self._token = set_current_user(user)
return user
def __exit__(self, *exc):
reset_current_user(self._token)
return _Ctx()
# ── TC-API-17 — threads_meta isolation ────────────────────────────────────
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_thread_meta_cross_user_isolation(tmp_path):
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.thread_meta import ThreadMetaRepository
cleanup = await _make_engines(tmp_path)
try:
repo = ThreadMetaRepository(get_session_factory())
# User A creates a thread.
with _as_user(USER_A):
await repo.create("t-alpha", display_name="A's private thread")
# User B creates a thread.
with _as_user(USER_B):
await repo.create("t-beta", display_name="B's private thread")
# User A must see only A's thread.
with _as_user(USER_A):
a_view = await repo.get("t-alpha")
assert a_view is not None
assert a_view["display_name"] == "A's private thread"
# CRITICAL: User A must NOT see B's thread.
leaked = await repo.get("t-beta")
assert leaked is None, f"User A leaked User B's thread: {leaked}"
# Search should only return A's threads.
results = await repo.search()
assert [r["thread_id"] for r in results] == ["t-alpha"]
# User B must see only B's thread.
with _as_user(USER_B):
b_view = await repo.get("t-beta")
assert b_view is not None
assert b_view["display_name"] == "B's private thread"
leaked = await repo.get("t-alpha")
assert leaked is None, f"User B leaked User A's thread: {leaked}"
results = await repo.search()
assert [r["thread_id"] for r in results] == ["t-beta"]
finally:
await cleanup()
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_thread_meta_cross_user_mutation_denied(tmp_path):
"""User B cannot update or delete a thread owned by User A."""
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.thread_meta import ThreadMetaRepository
cleanup = await _make_engines(tmp_path)
try:
repo = ThreadMetaRepository(get_session_factory())
with _as_user(USER_A):
await repo.create("t-alpha", display_name="original")
# User B tries to rename A's thread — must be a no-op.
with _as_user(USER_B):
await repo.update_display_name("t-alpha", "hacked")
# Verify the row is unchanged from A's perspective.
with _as_user(USER_A):
row = await repo.get("t-alpha")
assert row is not None
assert row["display_name"] == "original"
# User B tries to delete A's thread — must be a no-op.
with _as_user(USER_B):
await repo.delete("t-alpha")
# A's thread still exists.
with _as_user(USER_A):
row = await repo.get("t-alpha")
assert row is not None
finally:
await cleanup()
# ── TC-API-18 — runs isolation ────────────────────────────────────────────
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_runs_cross_user_isolation(tmp_path):
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.run import RunRepository
cleanup = await _make_engines(tmp_path)
try:
repo = RunRepository(get_session_factory())
with _as_user(USER_A):
await repo.put("run-a1", thread_id="t-alpha")
await repo.put("run-a2", thread_id="t-alpha")
with _as_user(USER_B):
await repo.put("run-b1", thread_id="t-beta")
# User A must see only A's runs.
with _as_user(USER_A):
r = await repo.get("run-a1")
assert r is not None
assert r["run_id"] == "run-a1"
leaked = await repo.get("run-b1")
assert leaked is None, "User A leaked User B's run"
a_runs = await repo.list_by_thread("t-alpha")
assert {r["run_id"] for r in a_runs} == {"run-a1", "run-a2"}
# Listing B's thread from A's perspective: empty
empty = await repo.list_by_thread("t-beta")
assert empty == []
# User B must see only B's runs.
with _as_user(USER_B):
leaked = await repo.get("run-a1")
assert leaked is None, "User B leaked User A's run"
b_runs = await repo.list_by_thread("t-beta")
assert [r["run_id"] for r in b_runs] == ["run-b1"]
finally:
await cleanup()
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_runs_cross_user_delete_denied(tmp_path):
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.run import RunRepository
cleanup = await _make_engines(tmp_path)
try:
repo = RunRepository(get_session_factory())
with _as_user(USER_A):
await repo.put("run-a1", thread_id="t-alpha")
# User B tries to delete A's run — no-op.
with _as_user(USER_B):
await repo.delete("run-a1")
# A's run still exists.
with _as_user(USER_A):
row = await repo.get("run-a1")
assert row is not None
finally:
await cleanup()
# ── TC-API-19 — run_events isolation (CRITICAL: content leak) ─────────────
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_run_events_cross_user_isolation(tmp_path):
"""run_events holds raw conversation content — most sensitive leak vector."""
from deerflow.persistence.engine import get_session_factory
from deerflow.runtime.events.store.db import DbRunEventStore
cleanup = await _make_engines(tmp_path)
try:
store = DbRunEventStore(get_session_factory())
with _as_user(USER_A):
await store.put(
thread_id="t-alpha",
run_id="run-a1",
event_type="human_message",
category="message",
content="User A private question",
)
await store.put(
thread_id="t-alpha",
run_id="run-a1",
event_type="ai_message",
category="message",
content="User A private answer",
)
with _as_user(USER_B):
await store.put(
thread_id="t-beta",
run_id="run-b1",
event_type="human_message",
category="message",
content="User B private question",
)
# User A must see only A's events — CRITICAL.
with _as_user(USER_A):
msgs = await store.list_messages("t-alpha")
contents = [m["content"] for m in msgs]
assert "User A private question" in contents
assert "User A private answer" in contents
# CRITICAL: User B's content must not appear.
assert "User B private question" not in contents
# Attempt to read B's thread by guessing thread_id.
leaked = await store.list_messages("t-beta")
assert leaked == [], f"User A leaked User B's messages: {leaked}"
leaked_events = await store.list_events("t-beta", "run-b1")
assert leaked_events == [], "User A leaked User B's events"
# count_messages must also be zero for B's thread from A's view.
count = await store.count_messages("t-beta")
assert count == 0
# User B must see only B's events.
with _as_user(USER_B):
msgs = await store.list_messages("t-beta")
contents = [m["content"] for m in msgs]
assert "User B private question" in contents
assert "User A private question" not in contents
assert "User A private answer" not in contents
count = await store.count_messages("t-alpha")
assert count == 0
finally:
await cleanup()
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_run_events_cross_user_delete_denied(tmp_path):
"""User B cannot delete User A's event stream."""
from deerflow.persistence.engine import get_session_factory
from deerflow.runtime.events.store.db import DbRunEventStore
cleanup = await _make_engines(tmp_path)
try:
store = DbRunEventStore(get_session_factory())
with _as_user(USER_A):
await store.put(
thread_id="t-alpha",
run_id="run-a1",
event_type="human_message",
category="message",
content="hello",
)
# User B tries to wipe A's thread events.
with _as_user(USER_B):
removed = await store.delete_by_thread("t-alpha")
assert removed == 0, f"User B deleted {removed} of User A's events"
# A's events still exist.
with _as_user(USER_A):
count = await store.count_messages("t-alpha")
assert count == 1
finally:
await cleanup()
# ── TC-API-20 — feedback isolation ────────────────────────────────────────
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_feedback_cross_user_isolation(tmp_path):
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.feedback import FeedbackRepository
cleanup = await _make_engines(tmp_path)
try:
repo = FeedbackRepository(get_session_factory())
# User A submits positive feedback.
with _as_user(USER_A):
a_feedback = await repo.create(
run_id="run-a1",
thread_id="t-alpha",
rating=1,
comment="A liked this",
)
# User B submits negative feedback.
with _as_user(USER_B):
b_feedback = await repo.create(
run_id="run-b1",
thread_id="t-beta",
rating=-1,
comment="B disliked this",
)
# User A must see only A's feedback.
with _as_user(USER_A):
retrieved = await repo.get(a_feedback["feedback_id"])
assert retrieved is not None
assert retrieved["comment"] == "A liked this"
# CRITICAL: cannot read B's feedback by id.
leaked = await repo.get(b_feedback["feedback_id"])
assert leaked is None, "User A leaked User B's feedback"
# list_by_run for B's run must be empty.
empty = await repo.list_by_run("t-beta", "run-b1")
assert empty == []
# User B must see only B's feedback.
with _as_user(USER_B):
leaked = await repo.get(a_feedback["feedback_id"])
assert leaked is None, "User B leaked User A's feedback"
b_list = await repo.list_by_run("t-beta", "run-b1")
assert len(b_list) == 1
assert b_list[0]["comment"] == "B disliked this"
finally:
await cleanup()
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_feedback_cross_user_delete_denied(tmp_path):
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.feedback import FeedbackRepository
cleanup = await _make_engines(tmp_path)
try:
repo = FeedbackRepository(get_session_factory())
with _as_user(USER_A):
fb = await repo.create(run_id="run-a1", thread_id="t-alpha", rating=1)
# User B tries to delete A's feedback — must return False (no-op).
with _as_user(USER_B):
deleted = await repo.delete(fb["feedback_id"])
assert deleted is False, "User B deleted User A's feedback"
# A's feedback still retrievable.
with _as_user(USER_A):
row = await repo.get(fb["feedback_id"])
assert row is not None
finally:
await cleanup()
# ── Regression: AUTO sentinel without contextvar must raise ───────────────
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_repository_without_context_raises(tmp_path):
"""Defense-in-depth: calling repo methods without a user context errors."""
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.thread_meta import ThreadMetaRepository
cleanup = await _make_engines(tmp_path)
try:
repo = ThreadMetaRepository(get_session_factory())
# Contextvar is explicitly unset under @pytest.mark.no_auto_user.
with pytest.raises(RuntimeError, match="no user context is set"):
await repo.get("anything")
finally:
await cleanup()
# ── Escape hatch: explicit owner_id=None bypasses filter (for migration) ──
@pytest.mark.anyio
@pytest.mark.no_auto_user
async def test_explicit_none_bypasses_filter(tmp_path):
"""Migration scripts pass owner_id=None to see all rows regardless of owner."""
from deerflow.persistence.engine import get_session_factory
from deerflow.persistence.thread_meta import ThreadMetaRepository
cleanup = await _make_engines(tmp_path)
try:
repo = ThreadMetaRepository(get_session_factory())
# Seed data as two different users.
with _as_user(USER_A):
await repo.create("t-alpha")
with _as_user(USER_B):
await repo.create("t-beta")
# Migration-style read: no contextvar, explicit None bypass.
all_rows = await repo.search(owner_id=None)
thread_ids = {r["thread_id"] for r in all_rows}
assert thread_ids == {"t-alpha", "t-beta"}
# Explicit get with None does not apply the filter either.
row_a = await repo.get("t-alpha", owner_id=None)
assert row_a is not None
row_b = await repo.get("t-beta", owner_id=None)
assert row_b is not None
finally:
await cleanup()
+232
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@@ -0,0 +1,232 @@
"""Tests for the persistence layer scaffolding.
Tests:
1. DatabaseConfig property derivation (paths, URLs)
2. MemoryRunStore CRUD + owner_id filtering
3. Base.to_dict() via inspect mixin
4. Engine init/close lifecycle (memory + SQLite)
5. Postgres missing-dep error message
"""
from datetime import UTC, datetime
import pytest
from deerflow.config.database_config import DatabaseConfig
from deerflow.runtime.runs.store.memory import MemoryRunStore
# -- DatabaseConfig --
class TestDatabaseConfig:
def test_defaults(self):
c = DatabaseConfig()
assert c.backend == "memory"
assert c.pool_size == 5
def test_sqlite_paths_are_different(self):
c = DatabaseConfig(backend="sqlite", sqlite_dir="./mydata")
assert c.checkpointer_sqlite_path.endswith("checkpoints.db")
assert c.app_sqlite_path.endswith("app.db")
assert "mydata" in c.checkpointer_sqlite_path
assert c.checkpointer_sqlite_path != c.app_sqlite_path
def test_app_sqlalchemy_url_sqlite(self):
c = DatabaseConfig(backend="sqlite", sqlite_dir="./data")
url = c.app_sqlalchemy_url
assert url.startswith("sqlite+aiosqlite:///")
assert "app.db" in url
def test_app_sqlalchemy_url_postgres(self):
c = DatabaseConfig(
backend="postgres",
postgres_url="postgresql://u:p@h:5432/db",
)
url = c.app_sqlalchemy_url
assert url.startswith("postgresql+asyncpg://")
assert "u:p@h:5432/db" in url
def test_app_sqlalchemy_url_postgres_already_asyncpg(self):
c = DatabaseConfig(
backend="postgres",
postgres_url="postgresql+asyncpg://u:p@h:5432/db",
)
url = c.app_sqlalchemy_url
assert url.count("asyncpg") == 1
def test_memory_has_no_url(self):
c = DatabaseConfig(backend="memory")
with pytest.raises(ValueError, match="No SQLAlchemy URL"):
_ = c.app_sqlalchemy_url
# -- MemoryRunStore --
class TestMemoryRunStore:
@pytest.fixture
def store(self):
return MemoryRunStore()
@pytest.mark.anyio
async def test_put_and_get(self, store):
await store.put("r1", thread_id="t1", status="pending")
row = await store.get("r1")
assert row is not None
assert row["run_id"] == "r1"
assert row["status"] == "pending"
@pytest.mark.anyio
async def test_get_missing_returns_none(self, store):
assert await store.get("nope") is None
@pytest.mark.anyio
async def test_update_status(self, store):
await store.put("r1", thread_id="t1")
await store.update_status("r1", "running")
assert (await store.get("r1"))["status"] == "running"
@pytest.mark.anyio
async def test_update_status_with_error(self, store):
await store.put("r1", thread_id="t1")
await store.update_status("r1", "error", error="boom")
row = await store.get("r1")
assert row["status"] == "error"
assert row["error"] == "boom"
@pytest.mark.anyio
async def test_list_by_thread(self, store):
await store.put("r1", thread_id="t1")
await store.put("r2", thread_id="t1")
await store.put("r3", thread_id="t2")
rows = await store.list_by_thread("t1")
assert len(rows) == 2
assert all(r["thread_id"] == "t1" for r in rows)
@pytest.mark.anyio
async def test_list_by_thread_owner_filter(self, store):
await store.put("r1", thread_id="t1", owner_id="alice")
await store.put("r2", thread_id="t1", owner_id="bob")
rows = await store.list_by_thread("t1", owner_id="alice")
assert len(rows) == 1
assert rows[0]["owner_id"] == "alice"
@pytest.mark.anyio
async def test_owner_none_returns_all(self, store):
await store.put("r1", thread_id="t1", owner_id="alice")
await store.put("r2", thread_id="t1", owner_id="bob")
rows = await store.list_by_thread("t1", owner_id=None)
assert len(rows) == 2
@pytest.mark.anyio
async def test_delete(self, store):
await store.put("r1", thread_id="t1")
await store.delete("r1")
assert await store.get("r1") is None
@pytest.mark.anyio
async def test_delete_nonexistent_is_noop(self, store):
await store.delete("nope") # should not raise
@pytest.mark.anyio
async def test_list_pending(self, store):
await store.put("r1", thread_id="t1", status="pending")
await store.put("r2", thread_id="t1", status="running")
await store.put("r3", thread_id="t2", status="pending")
pending = await store.list_pending()
assert len(pending) == 2
assert all(r["status"] == "pending" for r in pending)
@pytest.mark.anyio
async def test_list_pending_respects_before(self, store):
past = "2020-01-01T00:00:00+00:00"
future = "2099-01-01T00:00:00+00:00"
await store.put("r1", thread_id="t1", status="pending", created_at=past)
await store.put("r2", thread_id="t1", status="pending", created_at=future)
pending = await store.list_pending(before=datetime.now(UTC).isoformat())
assert len(pending) == 1
assert pending[0]["run_id"] == "r1"
@pytest.mark.anyio
async def test_list_pending_fifo_order(self, store):
await store.put("r2", thread_id="t1", status="pending", created_at="2024-01-02T00:00:00+00:00")
await store.put("r1", thread_id="t1", status="pending", created_at="2024-01-01T00:00:00+00:00")
pending = await store.list_pending()
assert pending[0]["run_id"] == "r1"
# -- Base.to_dict mixin --
class TestBaseToDictMixin:
@pytest.mark.anyio
async def test_to_dict_and_exclude(self, tmp_path):
"""Create a temp SQLite DB with a minimal model, verify to_dict."""
from sqlalchemy import String
from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
class _Tmp(Base):
__tablename__ = "_tmp_test"
id: Mapped[str] = mapped_column(String(64), primary_key=True)
name: Mapped[str] = mapped_column(String(128))
engine = create_async_engine(f"sqlite+aiosqlite:///{tmp_path / 'test.db'}")
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
sf = async_sessionmaker(engine, expire_on_commit=False)
async with sf() as session:
session.add(_Tmp(id="1", name="hello"))
await session.commit()
obj = await session.get(_Tmp, "1")
assert obj.to_dict() == {"id": "1", "name": "hello"}
assert obj.to_dict(exclude={"name"}) == {"id": "1"}
assert "_Tmp" in repr(obj)
await engine.dispose()
# -- Engine lifecycle --
class TestEngineLifecycle:
@pytest.mark.anyio
async def test_memory_is_noop(self):
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine
await init_engine("memory")
assert get_session_factory() is None
await close_engine()
@pytest.mark.anyio
async def test_sqlite_creates_engine(self, tmp_path):
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
sf = get_session_factory()
assert sf is not None
async with sf() as session:
assert session is not None
await close_engine()
assert get_session_factory() is None
@pytest.mark.anyio
async def test_postgres_without_asyncpg_gives_actionable_error(self):
"""If asyncpg is not installed, error message tells user what to do."""
from deerflow.persistence.engine import init_engine
try:
import asyncpg # noqa: F401
pytest.skip("asyncpg is installed -- cannot test missing-dep path")
except ImportError:
# asyncpg is not installed — this is the expected state for this test.
# We proceed to verify that init_engine raises an actionable ImportError.
pass # noqa: S110 — intentionally ignored
with pytest.raises(ImportError, match="uv sync --extra postgres"):
await init_engine("postgres", url="postgresql+asyncpg://x:x@localhost/x")
+500
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"""Tests for RunEventStore contract across all backends.
Uses a helper to create the store for each backend type.
Memory tests run directly; DB and JSONL tests create stores inside each test.
"""
import pytest
from deerflow.runtime.events.store.memory import MemoryRunEventStore
@pytest.fixture
def store():
return MemoryRunEventStore()
# -- Basic write and query --
class TestPutAndSeq:
@pytest.mark.anyio
async def test_put_returns_dict_with_seq(self, store):
record = await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content="hello")
assert "seq" in record
assert record["seq"] == 1
assert record["thread_id"] == "t1"
assert record["run_id"] == "r1"
assert record["event_type"] == "human_message"
assert record["category"] == "message"
assert record["content"] == "hello"
assert "created_at" in record
@pytest.mark.anyio
async def test_seq_strictly_increasing_same_thread(self, store):
r1 = await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
r2 = await store.put(thread_id="t1", run_id="r1", event_type="ai_message", category="message")
r3 = await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace")
assert r1["seq"] == 1
assert r2["seq"] == 2
assert r3["seq"] == 3
@pytest.mark.anyio
async def test_seq_independent_across_threads(self, store):
r1 = await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
r2 = await store.put(thread_id="t2", run_id="r2", event_type="human_message", category="message")
assert r1["seq"] == 1
assert r2["seq"] == 1
@pytest.mark.anyio
async def test_put_respects_provided_created_at(self, store):
ts = "2024-06-01T12:00:00+00:00"
record = await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", created_at=ts)
assert record["created_at"] == ts
@pytest.mark.anyio
async def test_put_metadata_preserved(self, store):
meta = {"model": "gpt-4", "tokens": 100}
record = await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace", metadata=meta)
assert record["metadata"] == meta
# -- list_messages --
class TestListMessages:
@pytest.mark.anyio
async def test_only_returns_message_category(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace")
await store.put(thread_id="t1", run_id="r1", event_type="run_start", category="lifecycle")
messages = await store.list_messages("t1")
assert len(messages) == 1
assert messages[0]["category"] == "message"
@pytest.mark.anyio
async def test_ascending_seq_order(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content="first")
await store.put(thread_id="t1", run_id="r1", event_type="ai_message", category="message", content="second")
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content="third")
messages = await store.list_messages("t1")
seqs = [m["seq"] for m in messages]
assert seqs == sorted(seqs)
@pytest.mark.anyio
async def test_before_seq_pagination(self, store):
for i in range(10):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content=str(i))
messages = await store.list_messages("t1", before_seq=6, limit=3)
assert len(messages) == 3
assert [m["seq"] for m in messages] == [3, 4, 5]
@pytest.mark.anyio
async def test_after_seq_pagination(self, store):
for i in range(10):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content=str(i))
messages = await store.list_messages("t1", after_seq=7, limit=3)
assert len(messages) == 3
assert [m["seq"] for m in messages] == [8, 9, 10]
@pytest.mark.anyio
async def test_limit_restricts_count(self, store):
for _ in range(20):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
messages = await store.list_messages("t1", limit=5)
assert len(messages) == 5
@pytest.mark.anyio
async def test_cross_run_unified_ordering(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r1", event_type="ai_message", category="message")
await store.put(thread_id="t1", run_id="r2", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r2", event_type="ai_message", category="message")
messages = await store.list_messages("t1")
assert [m["seq"] for m in messages] == [1, 2, 3, 4]
assert messages[0]["run_id"] == "r1"
assert messages[2]["run_id"] == "r2"
@pytest.mark.anyio
async def test_default_returns_latest(self, store):
for _ in range(10):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
messages = await store.list_messages("t1", limit=3)
assert [m["seq"] for m in messages] == [8, 9, 10]
# -- list_events --
class TestListEvents:
@pytest.mark.anyio
async def test_returns_all_categories_for_run(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace")
await store.put(thread_id="t1", run_id="r1", event_type="run_start", category="lifecycle")
events = await store.list_events("t1", "r1")
assert len(events) == 3
@pytest.mark.anyio
async def test_event_types_filter(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="llm_start", category="trace")
await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace")
await store.put(thread_id="t1", run_id="r1", event_type="tool_start", category="trace")
events = await store.list_events("t1", "r1", event_types=["llm_end"])
assert len(events) == 1
assert events[0]["event_type"] == "llm_end"
@pytest.mark.anyio
async def test_only_returns_specified_run(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace")
await store.put(thread_id="t1", run_id="r2", event_type="llm_end", category="trace")
events = await store.list_events("t1", "r1")
assert len(events) == 1
assert events[0]["run_id"] == "r1"
# -- list_messages_by_run --
class TestListMessagesByRun:
@pytest.mark.anyio
async def test_only_messages_for_specified_run(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace")
await store.put(thread_id="t1", run_id="r2", event_type="human_message", category="message")
messages = await store.list_messages_by_run("t1", "r1")
assert len(messages) == 1
assert messages[0]["run_id"] == "r1"
assert messages[0]["category"] == "message"
# -- count_messages --
class TestCountMessages:
@pytest.mark.anyio
async def test_counts_only_message_category(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r1", event_type="ai_message", category="message")
await store.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace")
assert await store.count_messages("t1") == 2
# -- put_batch --
class TestPutBatch:
@pytest.mark.anyio
async def test_batch_assigns_seq(self, store):
events = [
{"thread_id": "t1", "run_id": "r1", "event_type": "human_message", "category": "message", "content": "a"},
{"thread_id": "t1", "run_id": "r1", "event_type": "ai_message", "category": "message", "content": "b"},
{"thread_id": "t1", "run_id": "r1", "event_type": "llm_end", "category": "trace"},
]
results = await store.put_batch(events)
assert len(results) == 3
assert all("seq" in r for r in results)
@pytest.mark.anyio
async def test_batch_seq_strictly_increasing(self, store):
events = [
{"thread_id": "t1", "run_id": "r1", "event_type": "human_message", "category": "message"},
{"thread_id": "t1", "run_id": "r1", "event_type": "ai_message", "category": "message"},
]
results = await store.put_batch(events)
assert results[0]["seq"] == 1
assert results[1]["seq"] == 2
# -- delete --
class TestDelete:
@pytest.mark.anyio
async def test_delete_by_thread(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r1", event_type="ai_message", category="message")
await store.put(thread_id="t1", run_id="r2", event_type="llm_end", category="trace")
count = await store.delete_by_thread("t1")
assert count == 3
assert await store.list_messages("t1") == []
assert await store.count_messages("t1") == 0
@pytest.mark.anyio
async def test_delete_by_run(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r2", event_type="human_message", category="message")
await store.put(thread_id="t1", run_id="r2", event_type="llm_end", category="trace")
count = await store.delete_by_run("t1", "r2")
assert count == 2
messages = await store.list_messages("t1")
assert len(messages) == 1
assert messages[0]["run_id"] == "r1"
@pytest.mark.anyio
async def test_delete_nonexistent_thread_returns_zero(self, store):
assert await store.delete_by_thread("nope") == 0
@pytest.mark.anyio
async def test_delete_nonexistent_run_returns_zero(self, store):
await store.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
assert await store.delete_by_run("t1", "nope") == 0
@pytest.mark.anyio
async def test_delete_nonexistent_thread_for_run_returns_zero(self, store):
assert await store.delete_by_run("nope", "r1") == 0
# -- Edge cases --
class TestEdgeCases:
@pytest.mark.anyio
async def test_empty_thread_list_messages(self, store):
assert await store.list_messages("empty") == []
@pytest.mark.anyio
async def test_empty_run_list_events(self, store):
assert await store.list_events("empty", "r1") == []
@pytest.mark.anyio
async def test_empty_thread_count_messages(self, store):
assert await store.count_messages("empty") == 0
# -- DB-specific tests --
class TestDbRunEventStore:
"""Tests for DbRunEventStore with temp SQLite."""
@pytest.mark.anyio
async def test_basic_crud(self, tmp_path):
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine
from deerflow.runtime.events.store.db import DbRunEventStore
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
s = DbRunEventStore(get_session_factory())
r = await s.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content="hi")
assert r["seq"] == 1
r2 = await s.put(thread_id="t1", run_id="r1", event_type="ai_message", category="message", content="hello")
assert r2["seq"] == 2
messages = await s.list_messages("t1")
assert len(messages) == 2
count = await s.count_messages("t1")
assert count == 2
await close_engine()
@pytest.mark.anyio
async def test_trace_content_truncation(self, tmp_path):
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine
from deerflow.runtime.events.store.db import DbRunEventStore
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
s = DbRunEventStore(get_session_factory(), max_trace_content=100)
long = "x" * 200
r = await s.put(thread_id="t1", run_id="r1", event_type="llm_end", category="trace", content=long)
assert len(r["content"]) == 100
assert r["metadata"].get("content_truncated") is True
# message content NOT truncated
m = await s.put(thread_id="t1", run_id="r1", event_type="ai_message", category="message", content=long)
assert len(m["content"]) == 200
await close_engine()
@pytest.mark.anyio
async def test_pagination(self, tmp_path):
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine
from deerflow.runtime.events.store.db import DbRunEventStore
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
s = DbRunEventStore(get_session_factory())
for i in range(10):
await s.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content=str(i))
# before_seq
msgs = await s.list_messages("t1", before_seq=6, limit=3)
assert [m["seq"] for m in msgs] == [3, 4, 5]
# after_seq
msgs = await s.list_messages("t1", after_seq=7, limit=3)
assert [m["seq"] for m in msgs] == [8, 9, 10]
# default (latest)
msgs = await s.list_messages("t1", limit=3)
assert [m["seq"] for m in msgs] == [8, 9, 10]
await close_engine()
@pytest.mark.anyio
async def test_delete(self, tmp_path):
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine
from deerflow.runtime.events.store.db import DbRunEventStore
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
s = DbRunEventStore(get_session_factory())
await s.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await s.put(thread_id="t1", run_id="r2", event_type="ai_message", category="message")
c = await s.delete_by_run("t1", "r2")
assert c == 1
assert await s.count_messages("t1") == 1
c = await s.delete_by_thread("t1")
assert c == 1
assert await s.count_messages("t1") == 0
await close_engine()
@pytest.mark.anyio
async def test_put_batch_seq_continuity(self, tmp_path):
"""Batch write produces continuous seq values with no gaps."""
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine
from deerflow.runtime.events.store.db import DbRunEventStore
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
s = DbRunEventStore(get_session_factory())
events = [{"thread_id": "t1", "run_id": "r1", "event_type": "trace", "category": "trace"} for _ in range(50)]
results = await s.put_batch(events)
seqs = [r["seq"] for r in results]
assert seqs == list(range(1, 51))
await close_engine()
# -- Factory tests --
class TestMakeRunEventStore:
"""Tests for the make_run_event_store factory function."""
@pytest.mark.anyio
async def test_memory_backend_default(self):
from deerflow.runtime.events.store import make_run_event_store
store = make_run_event_store(None)
assert type(store).__name__ == "MemoryRunEventStore"
@pytest.mark.anyio
async def test_memory_backend_explicit(self):
from unittest.mock import MagicMock
from deerflow.runtime.events.store import make_run_event_store
config = MagicMock()
config.backend = "memory"
store = make_run_event_store(config)
assert type(store).__name__ == "MemoryRunEventStore"
@pytest.mark.anyio
async def test_db_backend_with_engine(self, tmp_path):
from unittest.mock import MagicMock
from deerflow.persistence.engine import close_engine, init_engine
from deerflow.runtime.events.store import make_run_event_store
url = f"sqlite+aiosqlite:///{tmp_path / 'test.db'}"
await init_engine("sqlite", url=url, sqlite_dir=str(tmp_path))
config = MagicMock()
config.backend = "db"
config.max_trace_content = 10240
store = make_run_event_store(config)
assert type(store).__name__ == "DbRunEventStore"
await close_engine()
@pytest.mark.anyio
async def test_db_backend_no_engine_falls_back(self):
"""db backend without engine falls back to memory."""
from unittest.mock import MagicMock
from deerflow.persistence.engine import close_engine, init_engine
from deerflow.runtime.events.store import make_run_event_store
await init_engine("memory") # no engine created
config = MagicMock()
config.backend = "db"
store = make_run_event_store(config)
assert type(store).__name__ == "MemoryRunEventStore"
await close_engine()
@pytest.mark.anyio
async def test_jsonl_backend(self):
from unittest.mock import MagicMock
from deerflow.runtime.events.store import make_run_event_store
config = MagicMock()
config.backend = "jsonl"
store = make_run_event_store(config)
assert type(store).__name__ == "JsonlRunEventStore"
@pytest.mark.anyio
async def test_unknown_backend_raises(self):
from unittest.mock import MagicMock
from deerflow.runtime.events.store import make_run_event_store
config = MagicMock()
config.backend = "redis"
with pytest.raises(ValueError, match="Unknown"):
make_run_event_store(config)
# -- JSONL-specific tests --
class TestJsonlRunEventStore:
@pytest.mark.anyio
async def test_basic_crud(self, tmp_path):
from deerflow.runtime.events.store.jsonl import JsonlRunEventStore
s = JsonlRunEventStore(base_dir=tmp_path / "jsonl")
r = await s.put(thread_id="t1", run_id="r1", event_type="human_message", category="message", content="hi")
assert r["seq"] == 1
messages = await s.list_messages("t1")
assert len(messages) == 1
@pytest.mark.anyio
async def test_file_at_correct_path(self, tmp_path):
from deerflow.runtime.events.store.jsonl import JsonlRunEventStore
s = JsonlRunEventStore(base_dir=tmp_path / "jsonl")
await s.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
assert (tmp_path / "jsonl" / "threads" / "t1" / "runs" / "r1.jsonl").exists()
@pytest.mark.anyio
async def test_cross_run_messages(self, tmp_path):
from deerflow.runtime.events.store.jsonl import JsonlRunEventStore
s = JsonlRunEventStore(base_dir=tmp_path / "jsonl")
await s.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await s.put(thread_id="t1", run_id="r2", event_type="human_message", category="message")
messages = await s.list_messages("t1")
assert len(messages) == 2
assert [m["seq"] for m in messages] == [1, 2]
@pytest.mark.anyio
async def test_delete_by_run(self, tmp_path):
from deerflow.runtime.events.store.jsonl import JsonlRunEventStore
s = JsonlRunEventStore(base_dir=tmp_path / "jsonl")
await s.put(thread_id="t1", run_id="r1", event_type="human_message", category="message")
await s.put(thread_id="t1", run_id="r2", event_type="human_message", category="message")
c = await s.delete_by_run("t1", "r2")
assert c == 1
assert not (tmp_path / "jsonl" / "threads" / "t1" / "runs" / "r2.jsonl").exists()
assert await s.count_messages("t1") == 1
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