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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "private-gpt"
version = "0.6.2"
description = "Private GPT"
authors = ["Zylon <hi@zylon.ai>"]
[tool.poetry.dependencies]
python = ">=3.11,<3.12"
# PrivateGPT
fastapi = { extras = ["all"], version = "^0.115.0" }
python-multipart = "^0.0.10"
injector = "^0.22.0"
pyyaml = "^6.0.2"
watchdog = "^4.0.1"
transformers = "^4.44.2"
docx2txt = "^0.8"
cryptography = "^3.1"
# LlamaIndex core libs
llama-index-core = ">=0.11.2,<0.12.0"
llama-index-readers-file = "*"
# Optional LlamaIndex integration libs
llama-index-llms-llama-cpp = {version = "*", optional = true}
llama-index-llms-openai = {version ="*", optional = true}
llama-index-llms-openai-like = {version ="*", optional = true}
llama-index-llms-ollama = {version ="*", optional = true}
llama-index-llms-azure-openai = {version ="*", optional = true}
llama-index-llms-gemini = {version ="*", optional = true}
llama-index-embeddings-ollama = {version ="*", optional = true}
llama-index-embeddings-huggingface = {version ="*", optional = true}
llama-index-embeddings-openai = {version ="*", optional = true}
llama-index-embeddings-azure-openai = {version ="*", optional = true}
llama-index-embeddings-gemini = {version ="*", optional = true}
llama-index-embeddings-mistralai = {version ="*", optional = true}
llama-index-vector-stores-qdrant = {version ="*", optional = true}
llama-index-vector-stores-milvus = {version ="*", optional = true}
llama-index-vector-stores-chroma = {version ="*", optional = true}
llama-index-vector-stores-postgres = {version ="*", optional = true}
llama-index-vector-stores-clickhouse = {version ="*", optional = true}
llama-index-storage-docstore-postgres = {version ="*", optional = true}
llama-index-storage-index-store-postgres = {version ="*", optional = true}
# Postgres
psycopg2-binary = {version ="^2.9.9", optional = true}
asyncpg = {version="^0.29.0", optional = true}
# ClickHouse
clickhouse-connect = {version = "^0.7.19", optional = true}
# Optional Sagemaker dependency
boto3 = {version ="^1.35.26", optional = true}
# Optional Reranker dependencies
torch = {version ="^2.4.1", optional = true}
sentence-transformers = {version ="^3.1.1", optional = true}
# Optional UI
gradio = {version ="^4.44.0", optional = true}
ffmpy = {version ="^0.4.0", optional = true}
# Optional HF Transformers
einops = {version = "^0.8.0", optional = true}
retry-async = "^0.1.4"
[tool.poetry.extras]
ui = ["gradio", "ffmpy"]
llms-llama-cpp = ["llama-index-llms-llama-cpp"]
llms-openai = ["llama-index-llms-openai"]
llms-openai-like = ["llama-index-llms-openai-like"]
llms-ollama = ["llama-index-llms-ollama"]
llms-sagemaker = ["boto3"]
llms-azopenai = ["llama-index-llms-azure-openai"]
llms-gemini = ["llama-index-llms-gemini"]
embeddings-ollama = ["llama-index-embeddings-ollama"]
embeddings-huggingface = ["llama-index-embeddings-huggingface", "einops"]
embeddings-openai = ["llama-index-embeddings-openai"]
embeddings-sagemaker = ["boto3"]
embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
embeddings-gemini = ["llama-index-embeddings-gemini"]
embeddings-mistral = ["llama-index-embeddings-mistralai"]
vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
vector-stores-clickhouse = ["llama-index-vector-stores-clickhouse", "clickhouse_connect"]
vector-stores-chroma = ["llama-index-vector-stores-chroma"]
vector-stores-postgres = ["llama-index-vector-stores-postgres"]
vector-stores-milvus = ["llama-index-vector-stores-milvus"]
storage-nodestore-postgres = ["llama-index-storage-docstore-postgres","llama-index-storage-index-store-postgres","psycopg2-binary","asyncpg"]
rerank-sentence-transformers = ["torch", "sentence-transformers"]
[tool.poetry.group.dev.dependencies]
black = "^24"
mypy = "^1.11"
pre-commit = "^3"
pytest = "^8"
pytest-cov = "^5"
ruff = "^0"
pytest-asyncio = "^0.24.0"
types-pyyaml = "^6.0.12.20240917"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
# Packages configs
## coverage
[tool.coverage.run]
branch = true
[tool.coverage.report]
skip_empty = true
precision = 2
## black
[tool.black]
target-version = ['py311']
## ruff
# Recommended ruff config for now, to be updated as we go along.
[tool.ruff]
target-version = 'py311'
# See all rules at https://beta.ruff.rs/docs/rules/
lint.select = [
"E", # pycodestyle
"W", # pycodestyle
"F", # Pyflakes
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"D", # pydocstyle
"I", # isort
"SIM", # flake8-simplify
"TCH", # flake8-type-checking
"TID", # flake8-tidy-imports
"Q", # flake8-quotes
"UP", # pyupgrade
"PT", # flake8-pytest-style
"RUF", # Ruff-specific rules
]
lint.ignore = [
"E501", # "Line too long"
# -> line length already regulated by black
"PT011", # "pytest.raises() should specify expected exception"
# -> would imply to update tests every time you update exception message
"SIM102", # "Use a single `if` statement instead of nested `if` statements"
# -> too restrictive,
"D100",
"D101",
"D102",
"D103",
"D104",
"D105",
"D106",
"D107"
# -> "Missing docstring in public function too restrictive"
]
[tool.ruff.lint.pydocstyle]
# Automatically disable rules that are incompatible with Google docstring convention
convention = "google"
[tool.ruff.lint.pycodestyle]
max-doc-length = 88
[tool.ruff.lint.flake8-tidy-imports]
ban-relative-imports = "all"
[tool.ruff.lint.flake8-type-checking]
strict = true
runtime-evaluated-base-classes = ["pydantic.BaseModel"]
# Pydantic needs to be able to evaluate types at runtime
# see https://pypi.org/project/flake8-type-checking/ for flake8-type-checking documentation
# see https://beta.ruff.rs/docs/settings/#flake8-type-checking-runtime-evaluated-base-classes for ruff documentation
[tool.ruff.lint.per-file-ignores]
# Allow missing docstrings for tests
"tests/**/*.py" = ["D1"]
## mypy
[tool.mypy]
python_version = "3.11"
strict = true
check_untyped_defs = false
explicit_package_bases = true
warn_unused_ignores = false
exclude = ["tests"]
[tool.mypy-llama-index]
ignore_missing_imports = true
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
addopts = [
"--import-mode=importlib",
]