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Posted to commits@hugegraph.apache.org by ji...@apache.org on 2025/05/22 07:21:35 UTC
(incubator-hugegraph-ai) branch main updated: chore(hg-llm): use uv instead poetry as the deps management tool (#226)
This is an automated email from the ASF dual-hosted git repository.
jin pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/incubator-hugegraph-ai.git
The following commit(s) were added to refs/heads/main by this push:
new 122b124 chore(hg-llm): use uv instead poetry as the deps management tool (#226)
122b124 is described below
commit 122b1248b9b5bdacc6b2a965bdd1894ffdeea7b0
Author: HLOVI <12...@users.noreply.github.com>
AuthorDate: Thu May 22 15:21:30 2025 +0800
chore(hg-llm): use uv instead poetry as the deps management tool (#226)
### 1 Description
This PR migrates the dependency management in the hugegraph-llm project
from Poetry to uv. uv is a high-performance Python package manager
written in Rust that provides 10-100x performance improvement over
Poetry.
### 2 Key Changes
* **Dependency Management:** Removed `[tool.poetry.dependencies]`
section and replaced it with the standard `[project.dependencies]`
format in `pyproject.toml`.
* **Package Index Configuration:** Added `[tool.uv]` section to
configure PyPI sources, including multiple mirror repositories in
`pyproject.toml`.
* **Removed Files:** Deleted the `poetry.lock` lockfile and `setup.py`
(as it's no longer needed with uv configuration).
### 3 Detailed Setup Instructions
To set up the development environment with uv:
1. **Install the uv tool:**
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
2. **Create a virtual environment** in the
`incubator-hugegraph-ai/hugegraph-llm` directory:
```bash
cd incubator-hugegraph-ai/hugegraph-llm
uv venv # The name .venv can be customized
```
3. **Activate the virtual environment** (if the activation script isn't
executable, add execute permission):
```bash
source .venv/bin/activate
```
4. **Install dependencies** in development mode:
```bash
uv pip install -e .
```
This change does not affect project functionality and only optimizes the
dependency management and build process.
More information about Hatch build can be referred to
[Hatch](https://daobook.github.io/hatch/dev/)
More information about uv can be referred to
[uv](https://docs.astral.sh/uv/)
---------
Co-authored-by: imbajin <ji...@apache.org>
---
.github/workflows/hugegraph-python-client.yml | 92 +-
.github/workflows/pylint.yml | 89 +-
hugegraph-llm/MANIFEST.in | 5 +
hugegraph-llm/README.md | 39 +-
hugegraph-llm/poetry.lock | 3448 --------------------
hugegraph-llm/pyproject.toml | 95 +-
hugegraph-llm/setup.py | 47 -
.../src/hugegraph_llm/config/models/base_config.py | 4 +-
.../config/models/base_prompt_config.py | 4 +-
.../hugegraph_llm/demo/rag_demo/configs_block.py | 20 +-
10 files changed, 174 insertions(+), 3669 deletions(-)
diff --git a/.github/workflows/hugegraph-python-client.yml b/.github/workflows/hugegraph-python-client.yml
index 60c84dd..6f2467a 100644
--- a/.github/workflows/hugegraph-python-client.yml
+++ b/.github/workflows/hugegraph-python-client.yml
@@ -13,58 +13,58 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ["3.9", "3.10", "3.11", "3.12"]
+ python-version: ["3.10", "3.11", "3.12"]
steps:
- # TODO: upgrade to HugeGraph 1.5.0 (need to update the test cases)
- - name: Prepare HugeGraph Server Environment
- run: |
- docker run -d --name=graph -p 8080:8080 -e PASSWORD=admin hugegraph/hugegraph:1.3.0
- sleep 10
+ # TODO: upgrade to HugeGraph 1.5.0 (need to update the test cases)
+ - name: Prepare HugeGraph Server Environment
+ run: |
+ docker run -d --name=graph -p 8080:8080 -e PASSWORD=admin hugegraph/hugegraph:1.3.0
+ sleep 10
- - uses: actions/checkout@v4
+ - uses: actions/checkout@v4
- - name: Set up Python ${{ matrix.python-version }}
- uses: actions/setup-python@v5
- with:
- python-version: ${{ matrix.python-version }}
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v5
+ with:
+ python-version: ${{ matrix.python-version }}
- - name: Install uv
- run: |
- curl -LsSf https://astral.sh/uv/install.sh | sh
- echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+ - name: Install uv
+ run: |
+ curl -LsSf https://astral.sh/uv/install.sh | sh
+ echo "$HOME/.cargo/bin" >> $GITHUB_PATH
- - name: Cache dependencies
- id: cache-deps
- uses: actions/cache@v4
- with:
- path: |
- .venv
- ~/.cache/uv
- ~/.cache/pip
- key: ${{ runner.os }}-venv-${{ matrix.python-version }}-${{ hashFiles('hugegraph-python-client/requirements.txt') }}
- restore-keys: |
- ${{ runner.os }}-venv-${{ matrix.python-version }}-
- ${{ runner.os }}-venv-
+ - name: Cache dependencies
+ id: cache-deps
+ uses: actions/cache@v4
+ with:
+ path: |
+ .venv
+ ~/.cache/uv
+ ~/.cache/pip
+ # TODO: switch to pyproject.toml after uv adoption
+ key: ${{ runner.os }}-venv-${{ matrix.python-version }}-${{ hashFiles('hugegraph-python-client/requirements.txt') }}
+ restore-keys: |
+ ${{ runner.os }}-venv-${{ matrix.python-version }}-
+ ${{ runner.os }}-venv-
- # TODO: use pyproject.toml later
- - name: Install dependencies
- if: steps.cache-deps.outputs.cache-hit != 'true'
- run: |
- uv venv
- source .venv/bin/activate
- uv pip install pytest
- uv pip install -r ./hugegraph-python-client/requirements.txt
+ # TODO: use pyproject.toml later
+ - name: Install dependencies
+ if: steps.cache-deps.outputs.cache-hit != 'true'
+ run: |
+ uv venv && source .venv/bin/activate
+ uv pip install pytest
+ uv pip install -r ./hugegraph-python-client/requirements.txt # TODO: use uv pip install ./hugegraph-python-client later
- - name: Test example
- run: |
- ls -al && source .venv/bin/activate
- export PYTHONPATH=$(pwd)/hugegraph-python-client/src
- echo ${PYTHONPATH}
- python hugegraph-python-client/src/pyhugegraph/example/hugegraph_example.py
+ - name: Test example
+ run: |
+ ls -al && source .venv/bin/activate
+ export PYTHONPATH=$(pwd)/hugegraph-python-client/src
+ echo ${PYTHONPATH}
+ python hugegraph-python-client/src/pyhugegraph/example/hugegraph_example.py
- - name: Test with pytest
- run: |
- ls -al ../ && source ../.venv/bin/activate
- pytest
- working-directory: hugegraph-python-client
+ - name: Test with pytest
+ run: |
+ ls -al ../ && source ../.venv/bin/activate
+ pytest
+ working-directory: hugegraph-python-client
diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml
index f3b0a50..5b98daf 100644
--- a/.github/workflows/pylint.yml
+++ b/.github/workflows/pylint.yml
@@ -16,48 +16,47 @@ jobs:
python-version: ["3.10", "3.11"]
steps:
- - uses: actions/checkout@v4
-
- - name: Setup Python ${{ matrix.python-version }}
- uses: actions/setup-python@v5
- with:
- python-version: ${{ matrix.python-version }}
-
- - name: Install uv
- run: |
- curl -LsSf https://astral.sh/uv/install.sh | sh
- echo "$HOME/.cargo/bin" >> $GITHUB_PATH
-
- - name: Cache dependencies
- id: cache-deps
- uses: actions/cache@v4
- with:
- path: |
- .venv
- ~/.cache/uv
- ~/.cache/pip
- key: ${{ runner.os }}-venv-${{ matrix.python-version }}-${{ hashFiles('**/requirements.txt', '**/pyproject.toml') }}
- restore-keys: |
- ${{ runner.os }}-venv-${{ matrix.python-version }}-
- ${{ runner.os }}-venv-
-
- - name: Install dependencies
- if: steps.cache-deps.outputs.cache-hit != 'true'
- run: |
- uv venv
- source .venv/bin/activate
- uv pip install pylint pytest
- # TODO: use pyproject.toml later (unify all projects)
- uv pip install -r ./hugegraph-llm/requirements.txt
- uv pip install -r ./hugegraph-ml/requirements.txt
- uv pip install -r ./hugegraph-python-client/requirements.txt
-
- - name: Check DGL version
- run: |
- source .venv/bin/activate
- python -c "import dgl; print(dgl.__version__)"
-
- - name: Analysing the code with pylint
- run: |
- source .venv/bin/activate
- bash ./style/code_format_and_analysis.sh -p
+ - uses: actions/checkout@v4
+
+ - name: Setup Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v5
+ with:
+ python-version: ${{ matrix.python-version }}
+
+ - name: Install uv
+ run: |
+ curl -LsSf https://astral.sh/uv/install.sh | sh
+ echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+ - name: Cache dependencies
+ id: cache-deps
+ uses: actions/cache@v4
+ with:
+ path: |
+ .venv
+ ~/.cache/uv
+ ~/.cache/pip
+ key: ${{ runner.os }}-venv-${{ matrix.python-version }}-${{ hashFiles('**/requirements.txt', '**/pyproject.toml') }}
+ restore-keys: |
+ ${{ runner.os }}-venv-${{ matrix.python-version }}-
+ ${{ runner.os }}-venv-
+
+ - name: Install dependencies
+ if: steps.cache-deps.outputs.cache-hit != 'true'
+ run: |
+ uv venv && source .venv/bin/activate
+ uv pip install pylint pytest
+ # TODO: use pyproject.toml later (unify all modules)
+ uv pip install -r ./hugegraph-python-client/requirements.txt
+ uv pip install ./hugegraph-llm
+ uv pip install -r ./hugegraph-ml/requirements.txt
+
+ - name: Check DGL version
+ run: |
+ source .venv/bin/activate
+ python -c "import dgl; print(dgl.__version__)"
+
+ - name: Analysing the code with pylint
+ run: |
+ source .venv/bin/activate
+ bash ./style/code_format_and_analysis.sh -p
diff --git a/hugegraph-llm/MANIFEST.in b/hugegraph-llm/MANIFEST.in
index 0eba21c..897d130 100644
--- a/hugegraph-llm/MANIFEST.in
+++ b/hugegraph-llm/MANIFEST.in
@@ -15,4 +15,9 @@
# specific language governing permissions and limitations
# under the License.
+# Note:
+# This MANIFEST.in file ensures that all necessary non-code resource files are included when building the
+# hugegraph-llm Python package distribution. It recursively includes all files under src/hugegraph_llm/resources.
+# Maintenance: When adding or removing resource files, update this file to keep the package contents accurate.
+
recursive-include src/hugegraph_llm/resources *
diff --git a/hugegraph-llm/README.md b/hugegraph-llm/README.md
index a6d865a..8e4d503 100644
--- a/hugegraph-llm/README.md
+++ b/hugegraph-llm/README.md
@@ -19,42 +19,37 @@ graph systems and large language models.
> [!IMPORTANT]
> - python 3.10+ (not tested in 3.12)
> - hugegraph-server 1.3+ (better to use 1.5+)
-> - poetry 2.0+ (`uv` is on the way)
+> - uv 0.7+
## 3. Preparation
-1. Start the HugeGraph database, you can run it via [Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary Package](https://hugegraph.apache.org/docs/download/download/).
- Refer to the detailed [doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev) for more guidance
+1. Start the HugeGraph database, you can run it via [Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary Package](https://hugegraph.apache.org/docs/download/download/).
+ There is a simple method by docker：
+ ```bash
+ docker run -itd --name=server -p 8080:8080 hugegraph/hugegraph
+ ```
+ You can refer to the detailed documents [doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev) for more guidance.
-2. Configuring the poetry environment, Use the official installer to install Poetry, See the [poetry documentation](https://poetry.pythonlang.cn/docs/#installing-with-pipx) for other installation methods
+2. Configuring the uv environment, Use the official installer to install uv, See the [uv documentation](https://docs.astral.sh/uv/configuration/installer/) for other installation methods
```bash
- # You could try pipx or pip to install poetry when meet network issues, refer the poetry doc for more details
- curl -sSL https://install.python-poetry.org | python3 - # install the latest version like 2.0+
+ # You could try pipx or pip to install uv when meet network issues, refer the uv doc for more details
+ curl -LsSf https://astral.sh/uv/install.sh | sh - # install the latest version like 0.7.3+
```
3. Clone this project
```bash
git clone https://github.com/apache/incubator-hugegraph-ai.git
```
-4. Install [hugegraph-python-client](../hugegraph-python-client) and [hugegraph_llm](src/hugegraph_llm), poetry officially recommends using virtual environments
+4. Configuration dependency environment
```bash
- cd ./incubator-hugegraph-ai/hugegraph-llm
- poetry config --list # List/check the current configuration (Optional)
- # e.g: poetry config virtualenvs.in-project true
- # You could update the poetry configs if need
- poetry install
- # (Recommended) If you want to use the shell of the venv, you can run the following command
- poetry self add poetry-plugin-shell # from poetry 2.0+
- poetry shell # use 'exit' to leave the shell
+ cd incubator-hugegraph-ai/hugegraph-llm
+ uv venv && source .venv/bin/activate
+ uv pip install -e .
```
- If `poetry install` fails or too slow due to network issues, it is recommended to modify `tool.poetry.source` of `hugegraph-llm/pyproject.toml`
-5. Enter the project directory(`./incubator-hugegraph-ai/hugegraph-llm/src`)
- ```bash
- cd ./src
- ```
+ If dependency download fails or too slow due to network issues, it is recommended to modify `hugegraph-llm/pyproject.toml`.
6. Start the gradio interactive demo of **Graph RAG**, you can run with the following command and open http://127.0.0.1:8001 after starting
```bash
- python -m hugegraph_llm.demo.rag_demo.app # same as "poetry run xxx"
+ python -m hugegraph_llm.demo.rag_demo.app # same as "uv run xxx"
```
The default host is `0.0.0.0` and the port is `8001`. You can change them by passing command line arguments`--host` and `--port`.
```bash
@@ -77,7 +72,7 @@ graph systems and large language models.
python ./hugegraph_llm/operators/common_op/nltk_helper.py
```
> [!TIP]
-> You can also refer to our [quick-start](./quick_start.md) doc to understand how to use it & the basic query logic 🚧
+> You can also refer to our [quick-start](https://github.com/apache/incubator-hugegraph-ai/blob/main/hugegraph-llm/quick_start.md) doc to understand how to use it & the basic query logic 🚧
## 4 Examples
diff --git a/hugegraph-llm/poetry.lock b/hugegraph-llm/poetry.lock
deleted file mode 100644
index 17019b9..0000000
--- a/hugegraph-llm/poetry.lock
+++ /dev/null
@@ -1,3448 +0,0 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
-
-[[package]]
-name = "aiofiles"
-version = "23.2.1"
-description = "File support for asyncio."
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
- {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"},
- {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
-]
-
-[[package]]
-name = "aiohappyeyeballs"
-version = "2.4.4"
-description = "Happy Eyeballs for asyncio"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
- {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
- {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
-]
-
-[[package]]
-name = "aiohttp"
-version = "3.11.11"
-description = "Async http client/server framework (asyncio)"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
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-[package.dependencies]
-idna = ">=2.0"
-multidict = ">=4.0"
-propcache = ">=0.2.0"
-
-[[package]]
-name = "zipp"
-version = "3.21.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
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-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
-[metadata]
-lock-version = "2.1"
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diff --git a/hugegraph-llm/pyproject.toml b/hugegraph-llm/pyproject.toml
index dfb2681..467aa66 100644
--- a/hugegraph-llm/pyproject.toml
+++ b/hugegraph-llm/pyproject.toml
@@ -29,60 +29,63 @@ maintainers = [
{ name = "Apache HugeGraph Contributors", email = "dev@hugegraph.apache.org" },
]
+
+dependencies = [
+ "openai~=1.61.0",
+ "ollama~=0.4.8",
+ "qianfan~=0.3.18",
+ "retry~=0.9.2",
+ "tiktoken>=0.7.0",
+ "nltk~=3.9.1",
+ "gradio>5.0.0",
+ "jieba>=0.42.1",
+ "numpy~=1.24.4",
+ "python-docx~=1.1.2",
+ "langchain-text-splitters~=0.2.2",
+ "faiss-cpu~=1.8.0",
+ "python-dotenv>=1.0.1",
+ "pyarrow~=17.0.0",
+ "pandas<2.2.2",
+ "openpyxl~=3.1.5",
+ "pydantic-settings~=2.6.1",
+ "decorator~=5.1.1",
+ "requests~=2.32.0",
+ "setuptools~=70.0.0",
+ "urllib3~=2.2.2",
+ "rich~=13.9.4",
+ "apscheduler~=3.10.4",
+ "litellm~=1.61.13",
+ "hugegraph-python"
+]
[project.urls]
homepage = "https://hugegraph.apache.org/"
repository = "https://github.com/apache/incubator-hugegraph-ai"
documentation = "https://hugegraph.apache.org/docs/quickstart/hugegraph-ai/"
"Bug Tracker" = "https://github.com/apache/incubator-hugegraph-ai/issues"
-
-[tool.poetry.dependencies]
-python = "^3.10,<3.12"
-openai = "~1.61.0"
-ollama = "~0.4.8"
-qianfan = "~0.3.18"
-retry = "~0.9.2"
-tiktoken = ">=0.7.0"
-nltk = "~3.9.1"
-gradio = ">5.0.0"
-jieba = ">=0.42.1"
-numpy = "~1.24.4"
-python-docx = "~1.1.2"
-langchain-text-splitters = "~0.2.2"
-faiss-cpu = "~1.8.0"
-python-dotenv = ">=1.0.1"
-pyarrow = "~17.0.0"
-pandas = "<2.2.2"
-openpyxl = "~3.1.5"
-pydantic-settings = "~2.6.1"
-decorator = "~5.1.1"
-requests = "~2.32.0"
-setuptools = "~70.0.0"
-urllib3 = "~2.2.2"
-rich = "~13.9.4"
-apscheduler= "~3.10.4"
-litellm = "~1.61.13"
-hugegraph-python = { path = "../hugegraph-python-client/", develop = true }
-
[build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+#If you want to modify the network configuration file of the project, then you can modify this part
+[[tool.uv.index]]
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+default = true
-[[tool.poetry.source]]
-name = "pypi"
-priority = "primary"
+[tool.hatch.build.targets.wheel]
+packages = ["src/hugegraph_llm"]
-[[tool.poetry.source]]
-name = "aliyun"
-url = "https://mirrors.aliyun.com/pypi/simple/"
-priority = "supplemental"
+[tool.hatch.build.targets.sdist]
+include = [
+ "src/hugegraph_llm",
+ "README.md",
+ "LICENSE",
+ "NOTICE",
+ "MANIFEST.in"
+]
-[[tool.poetry.source]]
-name = "tencent"
-url = "https://mirrors.cloud.tencent.com/pypi/simple/"
-priority = "supplemental"
+[tool.hatch.metadata]
+allow-direct-references = true
-[[tool.poetry.source]]
-name = "tsinghua"
-url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/"
-priority = "supplemental"
+[tool.uv.sources]
+hugegraph-python= {path = "../hugegraph-python-client/",editable = true}
diff --git a/hugegraph-llm/setup.py b/hugegraph-llm/setup.py
deleted file mode 100644
index 0043a2f..0000000
--- a/hugegraph-llm/setup.py
+++ /dev/null
@@ -1,47 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License. You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied. See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-import setuptools
-from pkg_resources import parse_requirements
-
-# TODO: remove this file later (replace by poetry/uv configs)
-with open("README.md", "r", encoding="utf-8") as fh:
- long_description = fh.read()
-
-with open("requirements.txt", encoding="utf-8") as fp:
- install_requires = [str(requirement) for requirement in parse_requirements(fp)]
-
-setuptools.setup(
- name="hugegraph-llm",
- version="1.5.0",
- author="Apache HugeGraph Contributors",
- author_email="dev@hugegraph.apache.org",
- install_requires=install_requires,
- include_package_data=True,
- description="Integrating Apache HugeGraph with LLM.",
- long_description=long_description,
- long_description_content_type="text/markdown",
- url="https://github.com/apache/incubator-hugegraph-ai",
- packages=setuptools.find_packages(where="src", exclude=["tests"]),
- package_dir={"": "src"},
- classifiers=[
- "Programming Language :: Python :: 3",
- "License :: OSI Approved :: Apache Software License",
- "Operating System :: OS Independent",
- ],
- python_requires=">=3.9",
-)
diff --git a/hugegraph-llm/src/hugegraph_llm/config/models/base_config.py b/hugegraph-llm/src/hugegraph_llm/config/models/base_config.py
index 69af55c..dfe9d10 100644
--- a/hugegraph-llm/src/hugegraph_llm/config/models/base_config.py
+++ b/hugegraph-llm/src/hugegraph_llm/config/models/base_config.py
@@ -20,11 +20,11 @@ import os
from dotenv import dotenv_values, set_key
from pydantic_settings import BaseSettings
+
from hugegraph_llm.utils.log import log
dir_name = os.path.dirname
-package_path = dir_name(dir_name(dir_name(dir_name(dir_name(os.path.abspath(__file__))))))
-env_path = os.path.join(package_path, ".env")
+env_path = os.path.join(os.getcwd(), ".env") # Load .env from the current working directory
class BaseConfig(BaseSettings):
diff --git a/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py b/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py
index 1557272..5341fd8 100644
--- a/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py
+++ b/hugegraph-llm/src/hugegraph_llm/config/models/base_prompt_config.py
@@ -16,14 +16,14 @@
# under the License.
import os
+
import yaml
from hugegraph_llm.utils.log import log
dir_name = os.path.dirname
-package_path = dir_name(dir_name(dir_name(dir_name(dir_name(os.path.abspath(__file__))))))
F_NAME = "config_prompt.yaml"
-yaml_file_path = os.path.join(package_path, f"src/hugegraph_llm/resources/demo/{F_NAME}")
+yaml_file_path = os.path.join(os.getcwd(), "src/hugegraph_llm/resources/demo", F_NAME)
class BasePromptConfig:
diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py
index 0a99f3e..cb36777 100644
--- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py
+++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py
@@ -35,10 +35,10 @@ current_llm = "chat"
def test_litellm_embedding(api_key, api_base, model_name) -> int:
llm_client = LiteLLMEmbedding(
- api_key = api_key,
- api_base = api_base,
- model_name = model_name,
- )
+ api_key=api_key,
+ api_base=api_base,
+ model_name=model_name,
+ )
try:
response = llm_client.get_text_embedding("test")
assert len(response) > 0
@@ -143,10 +143,10 @@ def apply_embedding_config(arg1, arg2, arg3, origin_call=None) -> int:
def apply_reranker_config(
- reranker_api_key: Optional[str] = None,
- reranker_model: Optional[str] = None,
- cohere_base_url: Optional[str] = None,
- origin_call=None,
+ reranker_api_key: Optional[str] = None,
+ reranker_model: Optional[str] = None,
+ cohere_base_url: Optional[str] = None,
+ origin_call=None,
) -> int:
status_code = -1
reranker_option = llm_settings.reranker_type
@@ -319,9 +319,7 @@ def create_configs_block() -> list:
llm_config_button = gr.Button("Apply configuration")
llm_config_button.click(apply_llm_config_with_chat_op, inputs=llm_config_input)
# Determine whether there are Settings in the.env file
- dir_name = os.path.dirname
- package_path = dir_name(dir_name(dir_name(dir_name(dir_name(os.path.abspath(__file__))))))
- env_path = os.path.join(package_path, ".env")
+ env_path = os.path.join(os.getcwd(), ".env") # Load .env from the current working directory
env_vars = dotenv_values(env_path)
api_extract_key = env_vars.get("OPENAI_EXTRACT_API_KEY")
api_text2sql_key = env_vars.get("OPENAI_TEXT2GQL_API_KEY")