From a17a1f0d3a6250249fbd760ad803ecf515bc73c0 Mon Sep 17 00:00:00 2001
From: Li Yin
Date: Sat, 6 Jul 2024 15:36:51 -0700
Subject: [PATCH] doc use its own pyproject.toml in deploy
---
.github/workflows/documentation.yml | 16 +-
docs/_dummy/dummy/__init__.py | 0
docs/poetry.lock | 2037 +++++++++++++----
docs/pyproject.toml | 120 +-
.../model_client/anthropic_client.py | 19 +-
.../components/model_client/cohere_client.py | 3 +-
.../components/model_client/google_client.py | 19 +-
.../components/model_client/groq_client.py | 14 +-
.../components/model_client/openai_client.py | 26 +-
.../model_client/transformers_client.py | 26 +-
10 files changed, 1651 insertions(+), 629 deletions(-)
create mode 100644 docs/_dummy/dummy/__init__.py
diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index 3a1b45b5..aecce85b 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -29,22 +29,23 @@ jobs:
curl -sSL https://install.python-poetry.org | python3 -
echo "$HOME/.local/bin" >> $GITHUB_PATH # Ensure Poetry's bin directory is in PATH
- - name: Install dependencies using Poetry
+ - name: Install documentation dependencies using Poetry
run: |
+ cd docs
poetry config virtualenvs.create false # Avoid creating a virtual environment
- poetry install --only doc # Install only the doc dependencies as specified in pyproject.toml
+ poetry install # Install only the doc dependencies as specified in pyproject.toml
- name: Build documentation using Makefile
run: |
echo "Building documentation from: $(pwd)"
ls -l # Debug: List current directory contents
- poetry run make -C docs html # Run Makefile in docs directory to build HTML docs
- working-directory: ${{ github.workspace }}
+ poetry run make html # Run Makefile in docs directory to build HTML docs
+ working-directory: ${{ github.workspace }}/docs
- name: List built documentation
run: |
- find ./build/ -type f # List all files in the build directory
- working-directory: ${{ github.workspace }}/docs
+ find ./docs/build/ -type f # List all files in the build directory
+ working-directory: ${{ github.workspace }}
- name: Create .nojekyll file
run: |
@@ -53,7 +54,8 @@ jobs:
- name: Copy CNAME file
run: |
- cp ${{ github.workspace }}/CNAME ${{ github.workspace }}/docs/build/CNAME
+ cp ${{ github.workspace }}/CNAME ${{ github.workspace }}/docs/build/CNAME || true
+ working-directory: ${{ github.workspace }}
- name: Deploy to GitHub Pages
uses: peaceiris/actions-gh-pages@v3
diff --git a/docs/_dummy/dummy/__init__.py b/docs/_dummy/dummy/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/poetry.lock b/docs/poetry.lock
index 79c85e10..379bae05 100644
--- a/docs/poetry.lock
+++ b/docs/poetry.lock
@@ -1,35 +1,44 @@
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
-name = "annotated-types"
-version = "0.7.0"
-description = "Reusable constraint types to use with typing.Annotated"
+name = "accessible-pygments"
+version = "0.0.5"
+description = "A collection of accessible pygments styles"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
files = [
- {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
- {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+ {file = "accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7"},
+ {file = "accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872"},
]
+[package.dependencies]
+pygments = ">=1.5"
+
+[package.extras]
+dev = ["pillow", "pkginfo (>=1.10)", "playwright", "pre-commit", "setuptools", "twine (>=5.0)"]
+tests = ["hypothesis", "pytest"]
+
[[package]]
-name = "anyio"
-version = "4.4.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
+name = "alabaster"
+version = "0.7.16"
+description = "A light, configurable Sphinx theme"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
files = [
- {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
- {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+ {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
+ {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
]
-[package.dependencies]
-idna = ">=2.8"
-sniffio = ">=1.1"
-
-[package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+ {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
[[package]]
name = "attrs"
@@ -50,6 +59,20 @@ tests = ["attrs[tests-no-zope]", "zope-interface"]
tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+[[package]]
+name = "babel"
+version = "2.15.0"
+description = "Internationalization utilities"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "Babel-2.15.0-py3-none-any.whl", hash = "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb"},
+ {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
+]
+
+[package.extras]
+dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+
[[package]]
name = "backoff"
version = "2.2.1"
@@ -61,17 +84,131 @@ files = [
{file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
]
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.3"
+description = "Screen-scraping library"
+optional = false
+python-versions = ">=3.6.0"
+files = [
+ {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+ {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
+]
+
+[package.dependencies]
+soupsieve = ">1.2"
+
+[package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
+
+[[package]]
+name = "bleach"
+version = "6.1.0"
+description = "An easy safelist-based HTML-sanitizing tool."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"},
+ {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"},
+]
+
+[package.dependencies]
+six = ">=1.9.0"
+webencodings = "*"
+
+[package.extras]
+css = ["tinycss2 (>=1.1.0,<1.3)"]
+
+[[package]]
+name = "cachetools"
+version = "5.3.3"
+description = "Extensible memoizing collections and decorators"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
+ {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
+]
+
[[package]]
name = "certifi"
-version = "2024.6.2"
+version = "2024.7.4"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
- {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
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+]
+
+[[package]]
+name = "cffi"
+version = "1.16.0"
+description = "Foreign Function Interface for Python calling C code."
+optional = false
+python-versions = ">=3.8"
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+mssql-pymssql = ["pymssql"]
+mssql-pyodbc = ["pyodbc"]
+mypy = ["mypy (>=0.910)"]
+mysql = ["mysqlclient (>=1.4.0)"]
+mysql-connector = ["mysql-connector-python"]
+oracle = ["cx_oracle (>=8)"]
+oracle-oracledb = ["oracledb (>=1.0.1)"]
+postgresql = ["psycopg2 (>=2.7)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
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+postgresql-psycopg = ["psycopg (>=3.0.7)"]
+postgresql-psycopg2binary = ["psycopg2-binary"]
+postgresql-psycopg2cffi = ["psycopg2cffi"]
+postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
+pymysql = ["pymysql"]
+sqlcipher = ["sqlcipher3_binary"]
+
[[package]]
name = "tiktoken"
version = "0.7.0"
@@ -1096,58 +2183,42 @@ requests = ">=2.26.0"
blobfile = ["blobfile (>=2)"]
[[package]]
-name = "torch"
-version = "2.3.1"
-description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+name = "tinycss2"
+version = "1.3.0"
+description = "A tiny CSS parser"
optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.8"
files = [
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-nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-sympy = "*"
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-typing-extensions = ">=4.8.0"
+webencodings = ">=0.4"
[package.extras]
-opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["pytest", "ruff"]
+
+[[package]]
+name = "tornado"
+version = "6.4.1"
+description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
[[package]]
name = "tqdm"
@@ -1170,48 +2241,51 @@ slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
-name = "triton"
-version = "2.3.1"
-description = "A language and compiler for custom Deep Learning operations"
+name = "traitlets"
+version = "5.14.3"
+description = "Traitlets Python configuration system"
optional = false
-python-versions = "*"
+python-versions = ">=3.8"
files = [
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-[package.dependencies]
-filelock = "*"
-
[package.extras]
-build = ["cmake (>=3.20)", "lit"]
-tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
-tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
[[package]]
name = "typing-extensions"
-version = "4.12.1"
+version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
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+]
+
+[[package]]
+name = "uritemplate"
+version = "4.1.1"
+description = "Implementation of RFC 6570 URI Templates"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"},
+ {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"},
]
[[package]]
name = "urllib3"
-version = "2.2.1"
+version = "2.2.2"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
- {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
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[package.extras]
@@ -1220,7 +2294,18 @@ h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
+[[package]]
+name = "webencodings"
+version = "0.5.1"
+description = "Character encoding aliases for legacy web content"
+optional = false
+python-versions = "*"
+files = [
+ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
+ {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
+]
+
[metadata]
lock-version = "2.0"
python-versions = ">=3.11, <4.0"
-content-hash = "b7fef2db307a3a920dd787727e0441e4e5c10aba41b3cad4226883d724e8df26"
+content-hash = "ff3d3c46a7b28f8bcecf06db3a9fafc21eccc121793645b340a8e0f3b6fbcbeb"
diff --git a/docs/pyproject.toml b/docs/pyproject.toml
index c50254af..65036c73 100644
--- a/docs/pyproject.toml
+++ b/docs/pyproject.toml
@@ -1,106 +1,40 @@
-# [tool.poetry]
-# name = "lightrag"
-
-# packages = [
-# { include = "core", from = "." },
-# { include = "components", from = "." },
-# { include = "prompts", from = "." },
-# { include = "eval", from = "." },
-# { include = "utils", from = "." },
-# { include = "tracing", from = "." },
-# ]
-# version = "0.1.0"
-# description = "The 'PyTorch' library for LLM applications. RAG=Retriever-Agent-Generator."
-# authors = ["Li Yin "]
-# readme = "README.md"
-# license = "MIT"
-# classifiers = [
-# "Topic :: Software Development :: Build Tools",
-# "Topic :: Software Development :: Libraries :: Python Modules",
-# ]
-
-# # [[tool.poetry.packages]]
-# # include = "lightrag"
-
-# [tool.poetry.dependencies]
-# python = ">=3.11, <4.0"
-# python-dotenv = "^1.0.1"
-# backoff = "^2.2.1"
-# jinja2 = "^3.1.3"
-# # TODO: decide if we need people to install faiss, or openai, or groq separately
-# openai = "^1.12.0"
-# groq = "^0.5.0" # should only be installed if groq client is used
-# faiss-cpu = "^1.8.0"
-# torchviz = "^0.0.2"
-# matplotlib = "^3.8.4"
-# colorama = "^0.4.6"
-# jsonlines = "^4.0.0"
-
-
-# [tool.poetry.group.test.dependencies]
-# pytest = "^8.1.1"
-# pytest-mock = "^3.14.0"
-
-# [tool.poetry.group.typing.dependencies]
-# mypy = "^1"
-
-# [tool.poetry.group.doc.dependencies]
-# datasets = ">=2.14.6, <=2.19.1"
-# sphinx = "^7.3.7"
-# sphinx-rtd-theme = "^2.0.0"
-# pydata-sphinx-theme = "0.15.2"
-# sphinx-design = "^0.6.0"
-
-
-# [tool.poetry.group.dev.dependencies]
-# langchain = "^0.1.16"
-# llama-index = "^0.10.30"
-# pre-commit = "^3.7.0"
-# litellm = "^1.35.34"
-# haystack-ai = "^2.0.1"
-# torchvision = "^0.18.0"
-# torch = "^2.3.0"
-# langsmith = "^0.1.56"
-# langchain-openai = "^0.1.6"
-# pyvis = "^0.3.2"
-# llama-index-llms-ollama = "^0.1.3"
-# anthropic = "^0.26.0"
-# google-generativeai = "^0.5.4"
-# transformers = "^4.41.0"
-# torchmetrics = "^1.4.0.post0"
-# lightning = "^2.2.4"
-# dspy-ai = "^2.4.9"
-# jupyter = "^1.0.0"
-# ipykernel = "^6.29.4"
-# colorama = "^0.4.6"
-
-
-# [tool.ruff]
-# exclude = ["images"]
-
-
-# [build-system]
-# requires = ["poetry-core"]
-# build-backend = "poetry.core.masonry.api"
-
[tool.poetry]
name = "lightrag-docs"
version = "0.1.0"
-description = "A project to develop and test the lightrag library"
+description = "Documentation for the lightrag project"
authors = ["Your Name "]
license = "MIT"
-
-packages = [{ include = "../docs", from = "." }]
-
+packages = [{ from = "_dummy", include = "dummy" }] # empty packages
[tool.poetry.dependencies]
python = ">=3.11, <4.0"
-lightrag = { path = "../lightrag", develop = true }
-
+lightrag = "^0.0.0a13" # Assuming this is the main library you are developing
-[tool.poetry.group.dev.dependencies]
-torch = "^2.3.0"
+# [tool.poetry.group.dev.dependencies]
+# pre-commit = "^3.7.0"
+# anthropic = "^0.26.0"
+# torchmetrics = "^1.4.0.post0"
+# jupyter = "^1.0.0"
+# ipykernel = "^6.29.4"
+# dataclasses-jsonschema = "^2.16.0"
+# groq = "^0.5.0"
+# pgvector = "^0.2.5"
+# cohere = "^5.5.8"
+# pydot = "^2.0.0"
+# matplotlib = "^3.9.0"
+# pyvis = "^0.3.2"
+[tool.poetry.group.doc.dependencies]
+pydata-sphinx-theme = "^0.15.3"
+sphinx-design = "^0.6.0"
+sphinx-copybutton = "^0.5.2"
+sphinx = "^7.3.7"
+nbsphinx = "^0.9.4"
+nbconvert = "^7.16.4"
+pandoc = "^2.3"
+readthedocs-sphinx-search = "^0.3.2"
+sqlalchemy = "^2.0.31"
+google-generativeai = "^0.7.1"
[build-system]
requires = ["poetry-core>=1.0.0"]
diff --git a/lightrag/lightrag/components/model_client/anthropic_client.py b/lightrag/lightrag/components/model_client/anthropic_client.py
index 876ac8e9..53e51c5e 100644
--- a/lightrag/lightrag/components/model_client/anthropic_client.py
+++ b/lightrag/lightrag/components/model_client/anthropic_client.py
@@ -5,7 +5,17 @@
import backoff
import logging
-import anthropic
+
+from lightrag.core.model_client import ModelClient
+from lightrag.core.types import ModelType
+
+# optional import
+from lightrag.utils.lazy_import import safe_import, OptionalPackages
+
+anthropic = safe_import(
+ OptionalPackages.ANTHROPIC.value[0], OptionalPackages.ANTHROPIC.value[1]
+)
+
from anthropic import (
RateLimitError,
APITimeoutError,
@@ -15,15 +25,8 @@
)
from anthropic.types import Message
-
-from lightrag.core.model_client import ModelClient
-from lightrag.core.types import ModelType
-from lightrag.utils.lazy_import import safe_import, OptionalPackages
-
log = logging.getLogger(__name__)
-safe_import(OptionalPackages.ANTHROPIC.value[0], OptionalPackages.ANTHROPIC.value[1])
-
def get_first_message_content(completion: Message) -> str:
r"""When we only need the content of the first message.
diff --git a/lightrag/lightrag/components/model_client/cohere_client.py b/lightrag/lightrag/components/model_client/cohere_client.py
index 22d576a6..2ec3048d 100644
--- a/lightrag/lightrag/components/model_client/cohere_client.py
+++ b/lightrag/lightrag/components/model_client/cohere_client.py
@@ -5,8 +5,7 @@
import backoff
from lightrag.utils.lazy_import import safe_import, OptionalPackages
-safe_import(OptionalPackages.COHERE.value[0], OptionalPackages.COHERE.value[1])
-import cohere
+cohere = safe_import(OptionalPackages.COHERE.value[0], OptionalPackages.COHERE.value[1])
from cohere import (
BadRequestError,
InternalServerError,
diff --git a/lightrag/lightrag/components/model_client/google_client.py b/lightrag/lightrag/components/model_client/google_client.py
index 7e774419..c097a9e6 100644
--- a/lightrag/lightrag/components/model_client/google_client.py
+++ b/lightrag/lightrag/components/model_client/google_client.py
@@ -5,24 +5,23 @@
import backoff
-import google.generativeai as genai
-from google.api_core.exceptions import (
- InternalServerError,
- BadRequest,
- GoogleAPICallError,
-)
-from google.generativeai.types import GenerateContentResponse
-
-
from lightrag.core.model_client import ModelClient
from lightrag.core.types import ModelType
from lightrag.utils.lazy_import import safe_import, OptionalPackages
-safe_import(
+# optional import
+google = safe_import(
OptionalPackages.GOOGLE_GENERATIVEAI.value[0],
OptionalPackages.GOOGLE_GENERATIVEAI.value[1],
)
+import google.generativeai as genai
+from google.api_core.exceptions import (
+ InternalServerError,
+ BadRequest,
+ GoogleAPICallError,
+)
+from google.generativeai.types import GenerateContentResponse
class GoogleGenAIClient(ModelClient):
diff --git a/lightrag/lightrag/components/model_client/groq_client.py b/lightrag/lightrag/components/model_client/groq_client.py
index f383fd04..49b13c9c 100644
--- a/lightrag/lightrag/components/model_client/groq_client.py
+++ b/lightrag/lightrag/components/model_client/groq_client.py
@@ -3,7 +3,14 @@
import os
from typing import Dict, Sequence, Optional, Any
import backoff
+from lightrag.core.model_client import ModelClient
+from lightrag.core.types import ModelType
+
+from lightrag.utils.lazy_import import safe_import, OptionalPackages
+
+# optional import
+groq = safe_import(OptionalPackages.GROQ.value[0], OptionalPackages.GROQ.value[1])
from groq import Groq, AsyncGroq
from groq import (
@@ -14,13 +21,6 @@
)
-from lightrag.core.model_client import ModelClient
-from lightrag.core.types import ModelType
-from lightrag.utils.lazy_import import safe_import, OptionalPackages
-
-safe_import(OptionalPackages.GROQ.value[0], OptionalPackages.GROQ.value[1])
-
-
class GroqAPIClient(ModelClient):
__doc__ = r"""A component wrapper for the Groq API client.
diff --git a/lightrag/lightrag/components/model_client/openai_client.py b/lightrag/lightrag/components/model_client/openai_client.py
index e9d6e76f..8dc4874b 100644
--- a/lightrag/lightrag/components/model_client/openai_client.py
+++ b/lightrag/lightrag/components/model_client/openai_client.py
@@ -4,32 +4,30 @@
from typing import Dict, Sequence, Optional, List, Any, TypeVar, Callable
import logging
-
-from openai import OpenAI, AsyncOpenAI
-from openai import (
- APITimeoutError,
- InternalServerError,
- RateLimitError,
- UnprocessableEntityError,
- BadRequestError,
-)
-
-from lightrag.utils.lazy_import import safe_import, OptionalPackages
+import backoff
from lightrag.core.model_client import ModelClient
from lightrag.core.types import ModelType, EmbedderOutput, TokenLogProb
from lightrag.components.model_client.utils import parse_embedding_response
+# optional import
+from lightrag.utils.lazy_import import safe_import, OptionalPackages
-safe_import(OptionalPackages.OPENAI.value[0], OptionalPackages.OPENAI.value[1])
+openai = safe_import(OptionalPackages.OPENAI.value[0], OptionalPackages.OPENAI.value[1])
+from openai import OpenAI, AsyncOpenAI
+from openai import (
+ APITimeoutError,
+ InternalServerError,
+ RateLimitError,
+ UnprocessableEntityError,
+ BadRequestError,
+)
from openai.types import Completion, CreateEmbeddingResponse
-import backoff
-
log = logging.getLogger(__name__)
T = TypeVar("T")
diff --git a/lightrag/lightrag/components/model_client/transformers_client.py b/lightrag/lightrag/components/model_client/transformers_client.py
index 1d9f72d2..1517a8ad 100644
--- a/lightrag/lightrag/components/model_client/transformers_client.py
+++ b/lightrag/lightrag/components/model_client/transformers_client.py
@@ -4,11 +4,23 @@
import logging
from functools import lru_cache
+
+from lightrag.core.model_client import ModelClient
+from lightrag.core.types import ModelType, Embedding, EmbedderOutput
+from lightrag.core.functional import get_top_k_indices_scores
+
+# optional import
+from lightrag.utils.lazy_import import safe_import, OptionalPackages
+
+
+transformers = safe_import(
+ OptionalPackages.TRANSFORMERS.value[0], OptionalPackages.TRANSFORMERS.value[1]
+)
+torch = safe_import(OptionalPackages.TORCH.value[0], OptionalPackages.TORCH.value[1])
+
import torch.nn.functional as F
-import torch
from torch import Tensor
-
from transformers import (
AutoTokenizer,
AutoModel,
@@ -16,16 +28,6 @@
AutoModelForCausalLM,
)
-from lightrag.core.model_client import ModelClient
-from lightrag.core.types import ModelType, Embedding, EmbedderOutput
-from lightrag.core.functional import get_top_k_indices_scores
-from lightrag.utils.lazy_import import safe_import, OptionalPackages
-
-
-safe_import(
- OptionalPackages.TRANSFORMERS.value[0], OptionalPackages.TRANSFORMERS.value[1]
-)
-safe_import(OptionalPackages.TORCH.value[0], OptionalPackages.TORCH.value[1])
log = logging.getLogger(__name__)