private-gpt/pyproject.toml
lopagela 64c5ae214a
feat: Drop loguru and use builtin logging (#1133)
* Configure simple builtin logging

Changed the 2 existing `print` in the `private_gpt` code base into actual python logging, stop using loguru (dependency will be dropped in a later commit).
Try to use the `key=value` logging convention in logs (to indicate what dynamic values represents, and what is dynamic vs not).
Using `%s` log style, so that the string formatting is pushed inside the logger, giving the ability to the logger to determine if the string need to be formatted or not (i.e. strings from debug logs might not be formatted if the log level is not debug)
The (basic) builtin log configuration have been placed in `private_gpt/__init__.py` in order to initialize the logging system even before we start to launch any python code in `private_gpt` package (ensuring we get any initialization log formatted as we want to)
Disabled `uvicorn` custom logging format, resulting in having uvicorn logs being outputted in our formatted.

Some more concise format could be used if we want to, especially:
```
COMPACT_LOG_FORMAT = '%(asctime)s.%(msecs)03d [%(levelname)s] %(name)s - %(message)s'
```

Python documentation and cookbook on logging for reference:
* https://docs.python.org/3/library/logging.html
* https://docs.python.org/3/howto/logging.html

* Removing loguru from the dependencies

Result of `poetry remove loguru`

* PR feedback: using `logger` variable name instead of `log`

---------

Co-authored-by: Louis Melchior <louis@jaris.io>
2023-10-29 19:11:02 +01:00

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TOML

[tool.poetry]
name = "private-gpt"
version = "0.1.0"
description = "Private GPT"
authors = ["Zylon <hi@zylon.ai>"]
[tool.poetry.dependencies]
python = ">=3.11,<3.12"
fastapi = { extras = ["all"], version = "^0.103.1" }
boto3 = "^1.28.56"
injector = "^0.21.0"
pyyaml = "^6.0.1"
python-multipart = "^0.0.6"
pypdf = "^3.16.2"
llama-index = "0.8.47"
chromadb = "^0.4.13"
watchdog = "^3.0.0"
transformers = "^4.34.0"
# https://stackoverflow.com/questions/76327419/valueerror-libcublas-so-0-9-not-found-in-the-system-path
torch = ">=2.0.0, !=2.0.1, !=2.1.0"
[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"
# Dependencies for gradio UI
[tool.poetry.group.ui]
optional = true
[tool.poetry.group.ui.dependencies]
gradio = "^3.45.2"
[tool.poetry.group.local]
optional = true
[tool.poetry.group.local.dependencies]
sentence-transformers = "^2.2.2"
numpy = "1.26.0"
llama-cpp-python = "^0.2.11"
[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
exclude = ["tests"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
addopts = [
"--import-mode=importlib",
]