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### Summary Port the **QWeather** agent tool to the modern `ToolBase` / `_invoke` interface. It was still written against the removed legacy `ComponentBase` / `_run` / `be_output` API, so it was non-functional as an Agent tool — adding it to an Agent raised `AttributeError` because it had no `get_meta()`. This is the same defect that was fixed for the AkShare tool in #16417. **Changes** - `QWeatherParam` now extends `ToolParamBase` with a `meta` exposing a `query` (location) parameter, and adds `get_input_form()`. Existing config (`web_apikey`, `lang`, `type`, `user_type`, `time_period`) is preserved. - `QWeather` now extends `ToolBase` and implements `_invoke(**kwargs)` with the standard retry loop, cancellation checks, `set_output("formalized_content", ...)`, and `thoughts()`. The weather / indices / air-quality branches and the API error-code messages are kept. - Added `test/unit_test/agent/component/test_qweather.py` covering the restored `meta`, param validation, the weather-now and multi-day and indices branches, the empty-query short-circuit, and the location-lookup error message. **Testing** - `ruff check agent/tools/qweather.py test/unit_test/agent/component/test_qweather.py` — clean - `ruff format --check` — clean - `pytest test/unit_test/agent/component/test_qweather.py`
(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=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.26.4 #Replace with the image you are using
Start the container（wait two minutes）:
docker compose -f docker/docker-compose.yml up -d
(3). Test Elasticsearch
a) Run sdk tests against Elasticsearch:
export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380 # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${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