pyproject.toml

[tool.poetry]
name = "pxtextmining"
version = "1.0.1"
description = "Text classification of patient experience feedback."
authors = ['CDU Data Science <phudatascience@nottshc.nhs.uk>',
'YiWen Hon <yiwen.hon1@nhs.net>']
readme = "README.md"
license = "MIT"
repository = "https://github.com/the-strategy-unit/pxtextmining"
documentation = "https://the-strategy-unit.github.io/pxtextmining"

[tool.poetry.dependencies]
python = ">3.8, <3.11"
joblib = "^1.2.0"
matplotlib = "^3.3.2"
numpy = ">=1.22"
pandas = "^1.4.0"
scikit-learn = "1.0.2"
tensorflow = "2.12.0"
transformers = "^4.26.1"
scipy = "^1.10.1"
xgboost = "^1.7.5"

[tool.poetry.group.dev]
optional = true

[tool.poetry.group.dev.dependencies]
uvicorn = "^0.20.0"
pydantic = "^1.10.4"
pytest = "^7.2.2"
fastapi = "^0.101.0"
httpx = "^0.23.3"
pytest-cov = "^4.0.0"
pytest-mock = "^3.10.0"
requests = "^2.31.0"
ruff = "^0.0.272"
pre-commit = "^3.3.3"
tornado = "^6.3.3"

[tool.poetry.group.docs]
optional = true

[tool.poetry.group.docs.dependencies]
mkdocs = "^1.4.2"
mkdocstrings-python = "^0.8.2"
mkdocstrings = "^0.19.1"

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["api"]

[tool.ruff]
select = ["E", "F", "B"]
ignore = ["E501"]

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"