Spaces:
Runtime error
Runtime error
File size: 5,396 Bytes
4bdb245 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 |
[tool.poetry]
name = "private-gpt"
version = "0.5.0"
description = "Private GPT"
authors = ["Zylon <hi@zylon.ai>"]
[tool.poetry.dependencies]
python = ">=3.11,<3.12"
# PrivateGPT
fastapi = { extras = ["all"], version = "^0.110.0" }
python-multipart = "^0.0.9"
injector = "^0.21.0"
pyyaml = "^6.0.1"
watchdog = "^4.0.0"
transformers = "^4.38.2"
docx2txt = "^0.8"
cryptography = "^3.1"
# LlamaIndex core libs
llama-index-core = "^0.10.14"
llama-index-readers-file = "^0.1.6"
# Optional LlamaIndex integration libs
llama-index-llms-llama-cpp = {version = "^0.1.3", optional = true}
llama-index-llms-openai = {version = "^0.1.6", optional = true}
llama-index-llms-openai-like = {version ="^0.1.3", optional = true}
llama-index-llms-ollama = {version ="^0.1.2", optional = true}
llama-index-llms-azure-openai = {version ="^0.1.5", optional = true}
llama-index-embeddings-ollama = {version ="^0.1.2", optional = true}
llama-index-embeddings-huggingface = {version ="^0.1.4", optional = true}
llama-index-embeddings-openai = {version ="^0.1.6", optional = true}
llama-index-embeddings-azure-openai = {version ="^0.1.6", optional = true}
llama-index-vector-stores-qdrant = {version ="^0.1.3", optional = true}
llama-index-vector-stores-chroma = {version ="^0.1.4", optional = true}
llama-index-vector-stores-postgres = {version ="^0.1.2", optional = true}
llama-index-storage-docstore-postgres = {version ="^0.1.2", optional = true}
llama-index-storage-index-store-postgres = {version ="^0.1.2", optional = true}
# Postgres
psycopg2-binary = {version ="^2.9.9", optional = true}
asyncpg = {version="^0.29.0", optional = true}
# Optional Sagemaker dependency
boto3 = {version ="^1.34.51", optional = true}
# Optional Reranker dependencies
torch = {version ="^2.1.2", optional = true}
sentence-transformers = {version ="^2.6.1", optional = true}
# Optional UI
gradio = {version ="^4.19.2", optional = true}
[tool.poetry.extras]
ui = ["gradio"]
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"]
embeddings-ollama = ["llama-index-embeddings-ollama"]
embeddings-huggingface = ["llama-index-embeddings-huggingface"]
embeddings-openai = ["llama-index-embeddings-openai"]
embeddings-sagemaker = ["boto3"]
embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
vector-stores-chroma = ["llama-index-vector-stores-chroma"]
vector-stores-postgres = ["llama-index-vector-stores-postgres"]
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 = "^22"
mypy = "^1.2"
pre-commit = "^2"
pytest = "^7"
pytest-cov = "^3"
ruff = "^0"
pytest-asyncio = "^0.21.1"
types-pyyaml = "^6.0.12.12"
[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/
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
]
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.pydocstyle]
# Automatically disable rules that are incompatible with Google docstring convention
convention = "google"
[tool.ruff.pycodestyle]
max-doc-length = 88
[tool.ruff.flake8-tidy-imports]
ban-relative-imports = "all"
[tool.ruff.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.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",
]
|