mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-05-17 23:26:07 +08:00
14c0985182
Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
(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=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.25.4 #Replace with the image you are using
Start the container（wait two minutes）:
docker compose -f docker/docker-compose.yml up -d
(3). Test Elasticsearch
a) Run sdk tests against Elasticsearch:
export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380 # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${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