mirror of
https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
synced 2025-08-11 04:39:52 +08:00
Replace poetry with uv (#4471)
### What problem does this PR solve? Replace poetry with uv ### Type of change - [x] Refactoring
This commit is contained in:
Zhichang Yu
GitHub
parent
fd0bf3adf0
commit
d3c07794b5
2
.github/workflows/release.yml
vendored
2
.github/workflows/release.yml
vendored
@ -113,7 +113,7 @@ jobs:
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if: startsWith(github.ref, 'refs/tags/v')
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run: |
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cd sdk/python && \
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poetry build
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uv build
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- name: Publish package distributions to PyPI
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if: startsWith(github.ref, 'refs/tags/v')
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8
.github/workflows/tests.yml
vendored
8
.github/workflows/tests.yml
vendored
@ -89,7 +89,7 @@ jobs:
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echo "Waiting for service to be available..."
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sleep 5
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done
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cd sdk/python && poetry install && source .venv/bin/activate && cd test/test_sdk_api && pytest -s --tb=short get_email.py t_dataset.py t_chat.py t_session.py t_document.py t_chunk.py
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cd sdk/python && uv sync --python 3.10 --frozen && uv pip install . && source .venv/bin/activate && cd test/test_sdk_api && pytest -s --tb=short get_email.py t_dataset.py t_chat.py t_session.py t_document.py t_chunk.py
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- name: Run frontend api tests against Elasticsearch
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run: |
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@ -99,7 +99,7 @@ jobs:
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echo "Waiting for service to be available..."
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sleep 5
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done
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cd sdk/python && poetry install && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py
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cd sdk/python && uv sync --python 3.10 --frozen && uv pip install . && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py
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- name: Stop ragflow:nightly
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@ -119,7 +119,7 @@ jobs:
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echo "Waiting for service to be available..."
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sleep 5
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done
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cd sdk/python && poetry install && source .venv/bin/activate && cd test/test_sdk_api && pytest -s --tb=short get_email.py t_dataset.py t_chat.py t_session.py t_document.py t_chunk.py
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cd sdk/python && uv sync --python 3.10 --frozen && uv pip install . && source .venv/bin/activate && cd test/test_sdk_api && pytest -s --tb=short get_email.py t_dataset.py t_chat.py t_session.py t_document.py t_chunk.py
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- name: Run frontend api tests against Infinity
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run: |
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@ -129,7 +129,7 @@ jobs:
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echo "Waiting for service to be available..."
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sleep 5
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done
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cd sdk/python && poetry install && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py
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cd sdk/python && uv sync --python 3.10 --frozen && uv pip install . && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py
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- name: Stop ragflow:nightly
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if: always() # always run this step even if previous steps failed
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31
Dockerfile
31
Dockerfile
@ -64,19 +64,15 @@ RUN --mount=type=cache,id=ragflow_apt,target=/var/cache/apt,sharing=locked \
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RUN if [ "$NEED_MIRROR" == "1" ]; then \
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pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
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pip3 config set global.trusted-host pypi.tuna.tsinghua.edu.cn; \
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mkdir -p /etc/uv && \
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echo "[[index]]" > /etc/uv/uv.toml && \
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echo 'url = "https://pypi.tuna.tsinghua.edu.cn/simple"' >> /etc/uv/uv.toml && \
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echo "default = true" >> /etc/uv/uv.toml; \
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fi; \
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pipx install poetry; \
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if [ "$NEED_MIRROR" == "1" ]; then \
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pipx inject poetry poetry-plugin-pypi-mirror; \
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fi
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pipx install uv
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ENV PYTHONDONTWRITEBYTECODE=1 DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1
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ENV PATH=/root/.local/bin:$PATH
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# Configure Poetry
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ENV POETRY_NO_INTERACTION=1
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ENV POETRY_VIRTUALENVS_IN_PROJECT=true
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ENV POETRY_VIRTUALENVS_CREATE=true
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ENV POETRY_REQUESTS_TIMEOUT=15
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# nodejs 12.22 on Ubuntu 22.04 is too old
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RUN --mount=type=cache,id=ragflow_apt,target=/var/cache/apt,sharing=locked \
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@ -85,7 +81,7 @@ RUN --mount=type=cache,id=ragflow_apt,target=/var/cache/apt,sharing=locked \
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apt autoremove && \
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apt update && \
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apt install -y nodejs cargo
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# Add msssql ODBC driver
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# macOS ARM64 environment, install msodbcsql18.
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@ -131,17 +127,14 @@ USER root
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WORKDIR /ragflow
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# install dependencies from poetry.lock file
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COPY pyproject.toml poetry.toml poetry.lock ./
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# install dependencies from uv.lock file
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COPY pyproject.toml uv.lock ./
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RUN --mount=type=cache,id=ragflow_poetry,target=/root/.cache/pypoetry,sharing=locked \
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if [ "$NEED_MIRROR" == "1" ]; then \
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export POETRY_PYPI_MIRROR_URL=https://pypi.tuna.tsinghua.edu.cn/simple/; \
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fi; \
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RUN --mount=type=cache,id=ragflow_uv,target=/root/.cache/uv,sharing=locked \
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if [ "$LIGHTEN" == "1" ]; then \
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poetry install --no-root; \
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uv sync --python 3.10 --frozen; \
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else \
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poetry install --no-root --with=full; \
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uv sync --python 3.10 --frozen --all-extras; \
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fi
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COPY web web
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@ -180,7 +173,7 @@ COPY deepdoc deepdoc
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COPY rag rag
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COPY agent agent
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COPY graphrag graphrag
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COPY pyproject.toml poetry.toml poetry.lock ./
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COPY pyproject.toml uv.lock ./
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COPY docker/service_conf.yaml.template ./conf/service_conf.yaml.template
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COPY docker/entrypoint.sh ./entrypoint.sh
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@ -280,17 +280,16 @@ docker build -f Dockerfile -t infiniflow/ragflow:nightly .
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## 🔨 Launch service from source for development
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1. Install Poetry, or skip this step if it is already installed:
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1. Install uv, or skip this step if it is already installed:
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```bash
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pipx install poetry
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export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
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pipx install uv
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```
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2. Clone the source code and install Python dependencies:
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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~/.local/bin/poetry install --sync --no-root --with=full # install RAGFlow dependent python modules
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uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
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```
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3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
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@ -249,17 +249,16 @@ docker build -f Dockerfile -t infiniflow/ragflow:nightly .
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## 🔨 Menjalankan Aplikasi dari untuk Pengembangan
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1. Instal Poetry, atau lewati langkah ini jika sudah terinstal:
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1. Instal uv, atau lewati langkah ini jika sudah terinstal:
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```bash
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pipx install poetry
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export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
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pipx install uv
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```
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2. Clone kode sumber dan instal dependensi Python:
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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~/.local/bin/poetry install --sync --no-root # install modul python RAGFlow
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uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
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```
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3. Jalankan aplikasi yang diperlukan (MinIO, Elasticsearch, Redis, dan MySQL) menggunakan Docker Compose:
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@ -245,17 +245,16 @@ docker build -f Dockerfile -t infiniflow/ragflow:nightly .
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## 🔨 ソースコードからサービスを起動する方法
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1. Poetry をインストールする。すでにインストールされている場合は、このステップをスキップしてください:
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1. uv をインストールする。すでにインストールされている場合は、このステップをスキップしてください:
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```bash
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pipx install poetry
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export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
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pipx install uv
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```
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2. ソースコードをクローンし、Python の依存関係をインストールする:
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
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uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
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```
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3. Docker Compose を使用して依存サービス（MinIO、Elasticsearch、Redis、MySQL）を起動する:
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@ -247,17 +247,16 @@ docker build -f Dockerfile -t infiniflow/ragflow:nightly .
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## 🔨 소스 코드로 서비스를 시작합니다.
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1. Poetry를 설치하거나 이미 설치된 경우 이 단계를 건너뜁니다:
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1. uv를 설치하거나 이미 설치된 경우 이 단계를 건너뜁니다:
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```bash
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pipx install poetry
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export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
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pipx install uv
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```
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2. 소스 코드를 클론하고 Python 의존성을 설치합니다:
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
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uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
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```
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3. Docker Compose를 사용하여 의존 서비스(MinIO, Elasticsearch, Redis 및 MySQL)를 시작합니다:
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10
README_zh.md
10
README_zh.md
@ -258,19 +258,17 @@ docker build --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:night
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## 🔨 以源代码启动服务
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1. 安装 Poetry。如已经安装，可跳过本步骤：
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1. 安装 uv。如已经安装，可跳过本步骤：
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```bash
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pipx install poetry
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pipx inject poetry poetry-plugin-pypi-mirror
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export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
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export POETRY_PYPI_MIRROR_URL=https://pypi.tuna.tsinghua.edu.cn/simple/
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pipx install uv
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export UV_INDEX=https://pypi.tuna.tsinghua.edu.cn/simple
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```
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2. 下载源代码并安装 Python 依赖：
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
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uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
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```
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3. 通过 Docker Compose 启动依赖的服务（MinIO, Elasticsearch, Redis, and MySQL）：
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@ -35,26 +35,20 @@ cd ragflow/
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### Install Python dependencies
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1. Install Poetry:
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1. Install uv:
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```bash
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pipx install poetry
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pipx install uv
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```
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2. Configure Poetry:
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```bash
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export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
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```
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3. Install Python dependencies:
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2. Install Python dependencies:
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- slim:
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```bash
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~/.local/bin/poetry install --sync --no-root
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uv sync --python 3.10 # install RAGFlow dependent python modules
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```
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- full:
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```bash
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~/.local/bin/poetry install --sync --no-root --with full
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uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
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```
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*A virtual environment named `.venv` is created, and all Python dependencies are installed into the new environment.*
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10768
poetry.lock
generated
10768
poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@ -1,4 +0,0 @@
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[virtualenvs]
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in-project = true
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create = true
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prefer-active-python = true
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264
pyproject.toml
264
pyproject.toml
@ -1,140 +1,134 @@
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[tool.poetry]
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[project]
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name = "ragflow"
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version = "0.15.1"
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description = "[RAGFlow](https://ragflow.io/) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data."
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authors = ["Your Name <you@example.com>"]
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license = "https://github.com/infiniflow/ragflow/blob/main/LICENSE"
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authors = [
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{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }
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]
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license = { file = "LICENSE" }
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readme = "README.md"
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package-mode = false
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requires-python = ">=3.10,<3.13"
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dependencies = [
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"datrie==0.8.2",
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"akshare>=1.14.81,<2.0.0",
|
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"azure-storage-blob==12.22.0",
|
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"azure-identity==1.17.1",
|
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"azure-storage-file-datalake==12.16.0",
|
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"anthropic==0.34.1",
|
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"arxiv==2.1.3",
|
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"aspose-slides>=24.9.0,<25.0.0; platform_machine == 'x86_64' or (sys_platform == 'darwin' and platform_machine == 'arm64')",
|
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"beartype>=0.18.5,<0.19.0",
|
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"bio==1.7.1",
|
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"blinker==1.7.0",
|
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"boto3==1.34.140",
|
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"botocore==1.34.140",
|
||||
"cachetools==5.3.3",
|
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"chardet==5.2.0",
|
||||
"cn2an==0.5.22",
|
||||
"cohere==5.6.2",
|
||||
"Crawl4AI==0.3.8",
|
||||
"dashscope==1.20.11",
|
||||
"deepl==1.18.0",
|
||||
"demjson3==3.0.6",
|
||||
"discord-py==2.3.2",
|
||||
"duckduckgo-search>=7.2.0,<8.0.0",
|
||||
"editdistance==0.8.1",
|
||||
"elastic-transport==8.12.0",
|
||||
"elasticsearch==8.12.1",
|
||||
"elasticsearch-dsl==8.12.0",
|
||||
"fasttext==0.9.3",
|
||||
"filelock==3.15.4",
|
||||
"flask==3.0.3",
|
||||
"flask-cors==5.0.0",
|
||||
"flask-login==0.6.3",
|
||||
"flask-session==0.8.0",
|
||||
"google-search-results==2.4.2",
|
||||
"groq==0.9.0",
|
||||
"hanziconv==0.3.2",
|
||||
"html-text==0.6.2",
|
||||
"httpx==0.27.0",
|
||||
"huggingface-hub>=0.25.0,<0.26.0",
|
||||
"infinity-sdk==0.6.0-dev1",
|
||||
"infinity-emb>=0.0.66,<0.0.67",
|
||||
"itsdangerous==2.1.2",
|
||||
"markdown==3.6",
|
||||
"markdown-to-json==2.1.1",
|
||||
"minio==7.2.4",
|
||||
"mistralai==0.4.2",
|
||||
"nltk==3.9.1",
|
||||
"numpy>=1.26.0,<2.0.0",
|
||||
"ollama==0.2.1",
|
||||
"onnxruntime==1.19.2",
|
||||
"openai==1.45.0",
|
||||
"opencv-python==4.10.0.84",
|
||||
"opencv-python-headless==4.10.0.84",
|
||||
"openpyxl>=3.1.0,<4.0.0",
|
||||
"ormsgpack==1.5.0",
|
||||
"pandas>=2.2.0,<3.0.0",
|
||||
"pdfplumber==0.10.4",
|
||||
"peewee==3.17.1",
|
||||
"pillow==10.4.0",
|
||||
"protobuf==5.27.2",
|
||||
"psycopg2-binary==2.9.9",
|
||||
"pyclipper==1.3.0.post5",
|
||||
"pycryptodomex==3.20.0",
|
||||
"pypdf>=5.0.0,<6.0.0",
|
||||
"pytest>=8.3.0,<9.0.0",
|
||||
"python-dotenv==1.0.1",
|
||||
"python-dateutil==2.8.2",
|
||||
"python-pptx>=1.0.2,<2.0.0",
|
||||
"pywencai==0.12.2",
|
||||
"qianfan==0.4.6",
|
||||
"ranx==0.3.20",
|
||||
"readability-lxml==0.8.1",
|
||||
"valkey==6.0.2",
|
||||
"requests==2.32.2",
|
||||
"replicate==0.31.0",
|
||||
"roman-numbers==1.0.2",
|
||||
"ruamel-base==1.0.0",
|
||||
"scholarly==1.7.11",
|
||||
"scikit-learn==1.5.0",
|
||||
"selenium==4.22.0",
|
||||
"selenium-wire==5.1.0",
|
||||
"setuptools>=75.2.0,<76.0.0",
|
||||
"shapely==2.0.5",
|
||||
"six==1.16.0",
|
||||
"strenum==0.4.15",
|
||||
"tabulate==0.9.0",
|
||||
"tencentcloud-sdk-python==3.0.1215",
|
||||
"tika==2.6.0",
|
||||
"tiktoken==0.7.0",
|
||||
"umap_learn==0.5.6",
|
||||
"vertexai==1.64.0",
|
||||
"volcengine==1.0.146",
|
||||
"voyageai==0.2.3",
|
||||
"webdriver-manager==4.0.1",
|
||||
"werkzeug==3.0.6",
|
||||
"wikipedia==1.4.0",
|
||||
"word2number==1.1",
|
||||
"xgboost==1.5.0",
|
||||
"xpinyin==0.7.6",
|
||||
"yfinance==0.1.96",
|
||||
"zhipuai==2.0.1",
|
||||
"ruamel-yaml>=0.18.6,<0.19.0",
|
||||
"google-generativeai>=0.8.1,<0.9.0",
|
||||
"python-docx>=1.1.2,<2.0.0",
|
||||
"pypdf2>=3.0.1,<4.0.0",
|
||||
"graspologic>=3.4.1,<4.0.0",
|
||||
"pymysql>=1.1.1,<2.0.0",
|
||||
"mini-racer>=0.12.4,<0.13.0",
|
||||
"pyodbc>=5.2.0,<6.0.0",
|
||||
"pyicu>=2.13.1,<3.0.0",
|
||||
"flasgger>=0.9.7.1,<0.10.0",
|
||||
"polars-lts-cpu>=1.9.0,<2.0.0",
|
||||
"xxhash>=3.5.0,<4.0.0"
|
||||
]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.10,<3.13"
|
||||
datrie = "0.8.2"
|
||||
akshare = "^1.14.81"
|
||||
azure-storage-blob = "12.22.0"
|
||||
azure-identity = "1.17.1"
|
||||
azure-storage-file-datalake = "12.16.0"
|
||||
anthropic = "=0.34.1"
|
||||
arxiv = "2.1.3"
|
||||
aspose-slides = { version = "^24.9.0", markers = "platform_machine == 'x86_64' or (sys_platform == 'darwin' and platform_machine == 'arm64') " }
|
||||
beartype = "^0.18.5"
|
||||
bio = "1.7.1"
|
||||
blinker = "1.7.0"
|
||||
boto3 = "1.34.140"
|
||||
botocore = "1.34.140"
|
||||
cachetools = "5.3.3"
|
||||
chardet = "5.2.0"
|
||||
cn2an = "0.5.22"
|
||||
cohere = "5.6.2"
|
||||
Crawl4AI = "0.3.8"
|
||||
dashscope = "1.20.11"
|
||||
deepl = "1.18.0"
|
||||
demjson3 = "3.0.6"
|
||||
discord-py = "2.3.2"
|
||||
duckduckgo-search = "~7.2.0"
|
||||
editdistance = "0.8.1"
|
||||
elastic-transport = "8.12.0"
|
||||
elasticsearch = "8.12.1"
|
||||
elasticsearch-dsl = "8.12.0"
|
||||
fasttext = "0.9.3"
|
||||
filelock = "3.15.4"
|
||||
flask = "3.0.3"
|
||||
flask-cors = "5.0.0"
|
||||
flask-login = "0.6.3"
|
||||
flask-session = "0.8.0"
|
||||
google-search-results = "2.4.2"
|
||||
groq = "0.9.0"
|
||||
hanziconv = "0.3.2"
|
||||
html-text = "0.6.2"
|
||||
httpx = "0.27.0"
|
||||
huggingface-hub = "^0.25.0"
|
||||
infinity-sdk = "0.6.0-dev1"
|
||||
infinity-emb = "^0.0.66"
|
||||
itsdangerous = "2.1.2"
|
||||
markdown = "3.6"
|
||||
markdown-to-json = "2.1.1"
|
||||
minio = "7.2.4"
|
||||
mistralai = "0.4.2"
|
||||
nltk = "3.9.1"
|
||||
numpy = "^1.26.0"
|
||||
ollama = "0.2.1"
|
||||
onnxruntime = "1.19.2"
|
||||
openai = "1.45.0"
|
||||
opencv-python = "4.10.0.84"
|
||||
opencv-python-headless = "4.10.0.84"
|
||||
openpyxl = "^3.1.0"
|
||||
ormsgpack = "1.5.0"
|
||||
pandas = "^2.2.0"
|
||||
pdfplumber = "0.10.4"
|
||||
peewee = "3.17.1"
|
||||
pillow = "10.4.0"
|
||||
protobuf = "5.27.2"
|
||||
psycopg2-binary = "2.9.9"
|
||||
pyclipper = "1.3.0.post5"
|
||||
pycryptodomex = "3.20.0"
|
||||
pypdf = "^5.0.0"
|
||||
pytest = "^8.3.0"
|
||||
python-dotenv = "1.0.1"
|
||||
python-dateutil = "2.8.2"
|
||||
python-pptx = "^1.0.2"
|
||||
pywencai = "0.12.2"
|
||||
qianfan = "0.4.6"
|
||||
ranx = "0.3.20"
|
||||
readability-lxml = "0.8.1"
|
||||
valkey = "6.0.2"
|
||||
requests = "2.32.2"
|
||||
replicate = "0.31.0"
|
||||
roman-numbers = "1.0.2"
|
||||
ruamel-base = "1.0.0"
|
||||
scholarly = "1.7.11"
|
||||
scikit-learn = "1.5.0"
|
||||
selenium = "4.22.0"
|
||||
selenium-wire = "5.1.0"
|
||||
setuptools = "^75.2.0"
|
||||
shapely = "2.0.5"
|
||||
six = "1.16.0"
|
||||
strenum = "0.4.15"
|
||||
tabulate = "0.9.0"
|
||||
tencentcloud-sdk-python = "3.0.1215"
|
||||
tika = "2.6.0"
|
||||
tiktoken = "0.7.0"
|
||||
umap_learn = "0.5.6"
|
||||
vertexai = "1.64.0"
|
||||
volcengine = "1.0.146"
|
||||
voyageai = "0.2.3"
|
||||
webdriver-manager = "4.0.1"
|
||||
werkzeug = "3.0.6"
|
||||
wikipedia = "1.4.0"
|
||||
word2number = "1.1"
|
||||
xgboost = "1.5.0"
|
||||
xpinyin = "0.7.6"
|
||||
yfinance = "0.1.96"
|
||||
zhipuai = "2.0.1"
|
||||
ruamel-yaml = "^0.18.6"
|
||||
google-generativeai = "^0.8.1"
|
||||
python-docx = "^1.1.2"
|
||||
pypdf2 = "^3.0.1"
|
||||
graspologic = "^3.4.1"
|
||||
pymysql = "^1.1.1"
|
||||
mini-racer = "^0.12.4"
|
||||
pyodbc = "^5.2.0"
|
||||
pyicu = "^2.13.1"
|
||||
flasgger = "^0.9.7.1"
|
||||
#polars = { version = "^1.9.0", markers = "platform_machine == 'x86_64'" }
|
||||
polars-lts-cpu = "^1.9.0"
|
||||
xxhash = "^3.5.0"
|
||||
|
||||
|
||||
[tool.poetry.group.full]
|
||||
optional = true
|
||||
|
||||
[tool.poetry.group.full.dependencies]
|
||||
bcembedding = "0.1.3"
|
||||
fastembed = "^0.3.6"
|
||||
flagembedding = "1.2.10"
|
||||
torch = "2.3.0"
|
||||
transformers = "4.38.1"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
[project.optional-dependencies]
|
||||
full = [
|
||||
"bcembedding==0.1.3",
|
||||
"fastembed>=0.3.6,<0.4.0",
|
||||
"flagembedding==1.2.10",
|
||||
"torch==2.3.0",
|
||||
"transformers==4.38.1"
|
||||
]
|
||||
|
||||
@ -3,7 +3,9 @@
|
||||
# build and publish python SDK to pypi.org
|
||||
|
||||
```shell
|
||||
poetry build
|
||||
poetry config pypi-token.pypi $YOUR_PYPI_API_TOKEN
|
||||
poetry publish
|
||||
uv build
|
||||
uv pip install twine
|
||||
export TWINE_USERNAME="__token__"
|
||||
export TWINE_PASSWORD=$YOUR_PYPI_API_TOKEN
|
||||
twine upload dist/*.whl
|
||||
```
|
||||
|
||||
342
sdk/python/poetry.lock
generated
342
sdk/python/poetry.lock
generated
@ -1,342 +0,0 @@
|
||||
# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "beartype"
|
||||
version = "0.18.5"
|
||||
description = "Unbearably fast runtime type checking in pure Python."
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "beartype-0.18.5-py3-none-any.whl", hash = "sha256:5301a14f2a9a5540fe47ec6d34d758e9cd8331d36c4760fc7a5499ab86310089"},
|
||||
{file = "beartype-0.18.5.tar.gz", hash = "sha256:264ddc2f1da9ec94ff639141fbe33d22e12a9f75aa863b83b7046ffff1381927"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
all = ["typing-extensions (>=3.10.0.0)"]
|
||||
dev = ["autoapi (>=0.9.0)", "coverage (>=5.5)", "equinox", "mypy (>=0.800)", "numpy", "pandera", "pydata-sphinx-theme (<=0.7.2)", "pytest (>=4.0.0)", "sphinx", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)", "tox (>=3.20.1)", "typing-extensions (>=3.10.0.0)"]
|
||||
doc-rtd = ["autoapi (>=0.9.0)", "pydata-sphinx-theme (<=0.7.2)", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)"]
|
||||
test-tox = ["equinox", "mypy (>=0.800)", "numpy", "pandera", "pytest (>=4.0.0)", "sphinx", "typing-extensions (>=3.10.0.0)"]
|
||||
test-tox-coverage = ["coverage (>=5.5)"]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.12.14"
|
||||
description = "Python package for providing Mozilla's CA Bundle."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
|
||||
{file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.0"
|
||||
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f683ddc7eedd742e2889d2bfb96d69573fde1d92fcb811979cdb7165bb9c7d3"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f606a1881d2663630ea5b8ce2efe2111740df4b687bd78b34a8131baa007f79b"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79983512b108e4a164b9c8d34de3992f76d48cadc9554c9e60b43f308988aabe"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-win32.whl", hash = "sha256:c94057af19bc953643a33581844649a7fdab902624d2eb739738a30e2b3e60fc"},
|
||||
{file = "charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55f56e2ebd4e3bc50442fbc0888c9d8c94e4e06a933804e2af3e89e2f9c1c749"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c57516e58fd17d03ebe67e181a4e4e2ccab1168f8c2976c6a334d4f819fe5944"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6dba5d19c4dfab08e58d5b36304b3f92f3bd5d42c1a3fa37b5ba5cdf6dfcbcee"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf4475b82be41b07cc5e5ff94810e6a01f276e37c2d55571e3fe175e467a1a1c"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce031db0408e487fd2775d745ce30a7cd2923667cf3b69d48d219f1d8f5ddeb6"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ff4e7cdfdb1ab5698e675ca622e72d58a6fa2a8aa58195de0c0061288e6e3ea"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3710a9751938947e6327ea9f3ea6332a09bf0ba0c09cae9cb1f250bd1f1549bc"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82357d85de703176b5587dbe6ade8ff67f9f69a41c0733cf2425378b49954de5"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47334db71978b23ebcf3c0f9f5ee98b8d65992b65c9c4f2d34c2eaf5bcaf0594"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8ce7fd6767a1cc5a92a639b391891bf1c268b03ec7e021c7d6d902285259685c"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f1a2f519ae173b5b6a2c9d5fa3116ce16e48b3462c8b96dfdded11055e3d6365"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:63bc5c4ae26e4bc6be6469943b8253c0fd4e4186c43ad46e713ea61a0ba49129"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bcb4f8ea87d03bc51ad04add8ceaf9b0f085ac045ab4d74e73bbc2dc033f0236"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-win32.whl", hash = "sha256:9ae4ef0b3f6b41bad6366fb0ea4fc1d7ed051528e113a60fa2a65a9abb5b1d99"},
|
||||
{file = "charset_normalizer-3.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cee4373f4d3ad28f1ab6290684d8e2ebdb9e7a1b74fdc39e4c211995f77bec27"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:de7376c29d95d6719048c194a9cf1a1b0393fbe8488a22008610b0361d834ecf"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a51b48f42d9358460b78725283f04bddaf44a9358197b889657deba38f329db"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b295729485b06c1a0683af02a9e42d2caa9db04a373dc38a6a58cdd1e8abddf1"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee803480535c44e7f5ad00788526da7d85525cfefaf8acf8ab9a310000be4b03"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d59d125ffbd6d552765510e3f31ed75ebac2c7470c7274195b9161a32350284"},
|
||||
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cda06946eac330cbe6598f77bb54e690b4ca93f593dee1568ad22b04f347c15"},
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{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
|
||||
{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
dev = ["pre-commit", "tox"]
|
||||
testing = ["pytest", "pytest-benchmark"]
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "8.3.4"
|
||||
description = "pytest: simple powerful testing with Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"},
|
||||
{file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
colorama = {version = "*", markers = "sys_platform == \"win32\""}
|
||||
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
|
||||
iniconfig = "*"
|
||||
packaging = "*"
|
||||
pluggy = ">=1.5,<2"
|
||||
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
|
||||
|
||||
[package.extras]
|
||||
dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
|
||||
|
||||
[[package]]
|
||||
name = "requests"
|
||||
version = "2.32.3"
|
||||
description = "Python HTTP for Humans."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
|
||||
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
certifi = ">=2017.4.17"
|
||||
charset-normalizer = ">=2,<4"
|
||||
idna = ">=2.5,<4"
|
||||
urllib3 = ">=1.21.1,<3"
|
||||
|
||||
[package.extras]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
||||
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.2.1"
|
||||
description = "A lil' TOML parser"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
markers = "python_version < \"3.11\""
|
||||
files = [
|
||||
{file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-win32.whl", hash = "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-win32.whl", hash = "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98"},
|
||||
{file = "tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec"},
|
||||
{file = "tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69"},
|
||||
{file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
|
||||
{file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.2.3"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
|
||||
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "dbae1304e0358315b27e6165c39e999cb84e0650c0fd71ed32ab2ead6162b5c0"
|
||||
@ -1,19 +1,20 @@
|
||||
[tool.poetry]
|
||||
[project]
|
||||
name = "ragflow-sdk"
|
||||
version = "0.15.1"
|
||||
description = "Python client sdk of [RAGFlow](https://github.com/infiniflow/ragflow). RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding."
|
||||
authors = ["Zhichang Yu <yuzhichang@gmail.com>"]
|
||||
license = "Apache License, Version 2.0"
|
||||
authors = [
|
||||
{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }
|
||||
]
|
||||
license = { text = "Apache License, Version 2.0" }
|
||||
readme = "README.md"
|
||||
package-mode = true
|
||||
requires-python = ">=3.10,<3.13"
|
||||
dependencies = [
|
||||
"requests>=2.30.0,<3.0.0",
|
||||
"beartype>=0.18.5,<0.19.0",
|
||||
"pytest>=8.0.0,<9.0.0"
|
||||
]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.10,<3.13"
|
||||
requests = "^2.30.0"
|
||||
beartype = "^0.18.5"
|
||||
pytest = "^8.0.0"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
[project.optional-dependencies]
|
||||
test = [
|
||||
"pytest>=8.0.0,<9.0.0"
|
||||
]
|
||||
|
||||
215
sdk/python/uv.lock
generated
Normal file
215
sdk/python/uv.lock
generated
Normal file
@ -0,0 +1,215 @@
|
||||
version = 1
|
||||
requires-python = ">=3.10, <3.13"
|
||||
|
||||
[[package]]
|
||||
name = "beartype"
|
||||
version = "0.18.5"
|
||||
source = { registry = "https://mirrors.pku.edu.cn/pypi/web/simple" }
|
||||
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/96/15/4e623478a9628ad4cee2391f19aba0b16c1dd6fedcb2a399f0928097b597/beartype-0.18.5.tar.gz", hash = "sha256:264ddc2f1da9ec94ff639141fbe33d22e12a9f75aa863b83b7046ffff1381927" }
|
||||
wheels = [
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/64/43/7a1259741bd989723272ac7d381a43be932422abcff09a1d9f7ba212cb74/beartype-0.18.5-py3-none-any.whl", hash = "sha256:5301a14f2a9a5540fe47ec6d34d758e9cd8331d36c4760fc7a5499ab86310089" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.12.14"
|
||||
source = { registry = "https://mirrors.pku.edu.cn/pypi/web/simple" }
|
||||
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/0f/bd/1d41ee578ce09523c81a15426705dd20969f5abf006d1afe8aeff0dd776a/certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db" }
|
||||
wheels = [
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/a5/32/8f6669fc4798494966bf446c8c4a162e0b5d893dff088afddf76414f70e1/certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.1"
|
||||
source = { registry = "https://mirrors.pku.edu.cn/pypi/web/simple" }
|
||||
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/16/b0/572805e227f01586461c80e0fd25d65a2115599cc9dad142fee4b747c357/charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3" }
|
||||
wheels = [
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/0d/58/5580c1716040bc89206c77d8f74418caf82ce519aae06450393ca73475d1/charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/d0/11/00341177ae71c6f5159a08168bcb98c6e6d196d372c94511f9f6c9afe0c6/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/01/09/11d684ea5819e5a8f5100fb0b38cf8d02b514746607934134d31233e02c8/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e218488cd232553829be0664c2292d3af2eeeb94b32bea483cf79ac6a694e037" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/08/06/9f5a12939db324d905dc1f70591ae7d7898d030d7662f0d426e2286f68c9/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:80ed5e856eb7f30115aaf94e4a08114ccc8813e6ed1b5efa74f9f82e8509858f" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/93/62/5e89cdfe04584cb7f4d36003ffa2936681b03ecc0754f8e969c2becb7e24/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b010a7a4fd316c3c484d482922d13044979e78d1861f0e0650423144c616a46a" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/a9/ac/ab729a15c516da2ab70a05f8722ecfccc3f04ed7a18e45c75bbbaa347d61/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4532bff1b8421fd0a320463030c7520f56a79c9024a4e88f01c537316019005a" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/03/d2/3f392f23f042615689456e9a274640c1d2e5dd1d52de36ab8f7955f8f050/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d973f03c0cb71c5ed99037b870f2be986c3c05e63622c017ea9816881d2dd247" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/f2/e3/e20aae5e1039a2cd9b08d9205f52142329f887f8cf70da3650326670bddf/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3a3bd0dcd373514dcec91c411ddb9632c0d7d92aed7093b8c3bbb6d69ca74408" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/8d/af/779ad72a4da0aed925e1139d458adc486e61076d7ecdcc09e610ea8678db/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d9c3cdf5390dcd29aa8056d13e8e99526cda0305acc038b96b30352aff5ff2bb" },
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|
||||
{ name = "charset-normalizer" },
|
||||
{ name = "idna" },
|
||||
{ name = "urllib3" },
|
||||
]
|
||||
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/63/70/2bf7780ad2d390a8d301ad0b550f1581eadbd9a20f896afe06353c2a2913/requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760" }
|
||||
wheels = [
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.2.1"
|
||||
source = { registry = "https://mirrors.pku.edu.cn/pypi/web/simple" }
|
||||
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/18/87/302344fed471e44a87289cf4967697d07e532f2421fdaf868a303cbae4ff/tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff" }
|
||||
wheels = [
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/43/ca/75707e6efa2b37c77dadb324ae7d9571cb424e61ea73fad7c56c2d14527f/tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249" },
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{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/c7/16/51ae563a8615d472fdbffc43a3f3d46588c264ac4f024f63f01283becfbb/tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6" },
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{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/f1/dd/4f6cd1e7b160041db83c694abc78e100473c15d54620083dbd5aae7b990e/tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a" },
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||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/a9/6b/c54ede5dc70d648cc6361eaf429304b02f2871a345bbdd51e993d6cdf550/tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee" },
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||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/1f/47/999514fa49cfaf7a92c805a86c3c43f4215621855d151b61c602abb38091/tomli-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/73/41/0a01279a7ae09ee1573b423318e7934674ce06eb33f50936655071d81a24/tomli-2.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/55/18/5d8bc5b0a0362311ce4d18830a5d28943667599a60d20118074ea1b01bb7/tomli-2.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/92/a3/7ade0576d17f3cdf5ff44d61390d4b3febb8a9fc2b480c75c47ea048c646/tomli-2.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/72/6f/fa64ef058ac1446a1e51110c375339b3ec6be245af9d14c87c4a6412dd32/tomli-2.2.1-cp311-cp311-win32.whl", hash = "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/6a/1c/4a2dcde4a51b81be3530565e92eda625d94dafb46dbeb15069df4caffc34/tomli-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/52/e1/f8af4c2fcde17500422858155aeb0d7e93477a0d59a98e56cbfe75070fd0/tomli-2.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/03/b8/152c68bb84fc00396b83e7bbddd5ec0bd3dd409db4195e2a9b3e398ad2e3/tomli-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/c8/d6/fc9267af9166f79ac528ff7e8c55c8181ded34eb4b0e93daa767b8841573/tomli-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/5c/51/51c3f2884d7bab89af25f678447ea7d297b53b5a3b5730a7cb2ef6069f07/tomli-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/ab/df/bfa89627d13a5cc22402e441e8a931ef2108403db390ff3345c05253935e/tomli-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/9e/6e/fa2b916dced65763a5168c6ccb91066f7639bdc88b48adda990db10c8c0b/tomli-2.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/b4/04/885d3b1f650e1153cbb93a6a9782c58a972b94ea4483ae4ac5cedd5e4a09/tomli-2.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/9c/de/6b432d66e986e501586da298e28ebeefd3edc2c780f3ad73d22566034239/tomli-2.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/1c/9a/47c0449b98e6e7d1be6cbac02f93dd79003234ddc4aaab6ba07a9a7482e2/tomli-2.2.1-cp312-cp312-win32.whl", hash = "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/ef/60/9b9638f081c6f1261e2688bd487625cd1e660d0a85bd469e91d8db969734/tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4" },
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/6e/c2/61d3e0f47e2b74ef40a68b9e6ad5984f6241a942f7cd3bbfbdbd03861ea9/tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.3.0"
|
||||
source = { registry = "https://mirrors.pku.edu.cn/pypi/web/simple" }
|
||||
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/aa/63/e53da845320b757bf29ef6a9062f5c669fe997973f966045cb019c3f4b66/urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d" }
|
||||
wheels = [
|
||||
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/c8/19/4ec628951a74043532ca2cf5d97b7b14863931476d117c471e8e2b1eb39f/urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df" },
|
||||
]
|
||||
Loading…
x
Reference in New Issue
Block a user