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b7744e053e
fix: support dense_vector from ES fields response (ES 9.x compatibility) - [x] Bug Fix (non-breaking change which fixes an issue) - [x] Configuration Chore (non-breaking change which updates configuration) ## Summary by CodeRabbit * **Bug Fixes** * More accurate handling and unwrapping of dense-vector fields so returned values have correct shapes. * Field selection reliably limits returned data and falls back to alternate result locations when needed. * Use of consistent result IDs and tolerant handling when score values are missing. * **Chores / Configuration** * Increased build memory and adjusted build-time flags for the frontend build. * Simplified runtime model/GPU checks and removed an automated runtime GPU-install attempt. * **Build Fixes** * `web/vite.config.ts`: make `build.minify` and `build.sourcemap` respect `VITE_MINIFY` and `VITE_BUILD_SOURCEMAP` env vars from Dockerfile instead of hardcoding `terser` and `true`. * **Environment** * Allow stack version override and default the runtime image tag to "latest". <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Bug Fixes** * Correct unwrapping of dense-vector fields and reliable field selection with fallback locations. * Consistent use of hit-level IDs and tolerant handling when score values are missing. * **Chores / Configuration** * Increased frontend build memory and added build-time minify/sourcemap flags; build minification and sourcemap now configurable. * Removed runtime GPU detection for model initialization; force CPU initialization. * **Environment** * Allow stack version override and default runtime image tag to "latest". <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
(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 3.12 --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=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.24.0 #Replace with the image you are using
Start the container（wait two minutes）:
docker compose -f docker/docker-compose.yml up -d
(3). Test Elasticsearch
a) Run sdk tests against Elasticsearch:
export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380 # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${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