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### What problem does this PR solve? Closes #15191. RAGFlow shipped a Microsoft Teams connector stub (`common/data_source/teams_connector.py`) whose document-loading methods all returned `[]`, `Teams._generate()` was a `pass`, and Teams was commented out of the data-source settings UI. As a result there was no way to index Teams channel conversations into a knowledge base. This PR implements the connector end to end on top of Microsoft Graph (Office365-REST-Python-Client). It shares the MSAL client-credentials auth shape with the SharePoint connector. **Backend** - `common/data_source/teams_connector.py` - `load_credentials()` now builds the Graph client using an MSAL client-credentials **token callback** — the form `GraphClient` actually expects. (The previous stub passed a raw access-token string to `GraphClient(...)`, which is not how that client is driven.) Token acquisition is lazy, so credential loading performs no network call. - `validate_connector_settings()` lists teams via Graph. - `load_from_checkpoint()` is now a generator that pages teams → channels → messages, flattens each top-level post together with its replies into one blob-based `Document` (`extension` `.txt`/`.html`, `blob`, `size_bytes`, `doc_updated_at`). Incremental syncs are bounded by message `lastModifiedDateTime` (falling back to `createdDateTime`). Per-message errors surface as `ConnectorFailure` instead of aborting the run. - `retrieve_all_slim_docs_perm_sync()` yields id-only `SlimDocument` batches and the checkpoint helpers return proper `TeamsCheckpoint`s. - ACL → `ExternalAccess` mapping is intentionally left best-effort (`load_from_checkpoint_with_perm_sync` delegates to the standard load) because the sync pipeline does not currently persist `ExternalAccess`. - `rag/svr/sync_data_source.py` - Implemented `Teams._generate()` using the existing `CheckpointOutputWrapper` pattern (same shape as Confluence/Jira/Google Drive), supporting full reindex and incremental polling from `poll_range_start`. - `TeamsConnector` is already exported from `common/data_source/__init__.py`. **Frontend (`web/`)** - Enabled the `TEAMS` data-source enum and added its form fields (`tenant_id`, `client_id`, `client_secret`), default values, display metadata, and a Teams icon. - Added `teamsDescription` / `teamsTenantIdTip` to `en.ts` and `zh.ts`. **Tests** - `test/unit_test/data_source/test_teams_connector_unit.py`: mock-based unit tests covering credential loading (incomplete creds raise, happy path sets the Graph client, fetch-without-creds raises), post/reply flattening (incl. the HTML vs text extension), incremental `lastModifiedDateTime` filtering, and slim-doc listing. All 6 pass; `ruff check` is clean. ### Type of change - [x] New Feature (non-breaking change which adds functionality)
(1). Deploy RAGFlow services and images
https://ragflow.io/docs/build_docker_image
(2). Configure the required environment for testing
Install Python dependencies (including test dependencies):
uv sync --python 3.13 --only-group test --no-default-groups --frozen
Activate the environment:
source .venv/bin/activate
Install SDK:
uv pip install sdk/python
Modify the .env file: Add the following code:
COMPOSE_PROFILES=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.25.6 #Replace with the image you are using
Start the container（wait two minutes）:
docker compose -f docker/docker-compose.yml up -d
(3). Test Elasticsearch
a) Run sdk tests against Elasticsearch:
export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380 # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Elasticsearch:
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
(4). Test Infinity
Modify the .env file:
DOC_ENGINE=${DOC_ENGINE:-infinity}
Start the container:
docker compose -f docker/docker-compose.yml down -v
docker compose -f docker/docker-compose.yml up -d
a) Run sdk tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api