mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-05-27 11:15:59 +08:00
853021ff2a
### What problem does this PR solve? Closes #13907 The template catalog had duplicate files (e.g. `*_r.json`) only to place the same template into multiple sidebar groups. This increases maintenance cost and makes template updates error-prone. This PR adds first-class support for multiple template categories in a single file via `canvas_types`, then removes duplicate template files. What changed: - Added `canvas_types` to `CanvasTemplate` model and DB migration. - Added normalization logic when loading templates: - accepts legacy `canvas_type` - accepts new `canvas_types` - merges/deduplicates values - preserves backward compatibility by keeping `canvas_type` as first normalized value. - Updated template import flow to load only `.json` files and in stable sorted order. - Updated frontend template filtering to match on `canvas_types` first, with fallback to legacy `canvas_type`. - Consolidated duplicated template pairs into single files and removed: - `deep_search_r.json` - `reflective_academic_paper_generator_r.json` - `seo_article_writer_r.json` - Added regression/edge-case tests for category normalization and route serialization expectations. ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe):
(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