[tool.poetry]
name = "image-classification-service"
version = "2.17.0"
description = ""
authors = ["Team Research <research@knecon.com>"]
readme = "README.md"
packages = [{ include = "image_prediction", from = "src" }]

[tool.poetry.dependencies]
python = ">=3.10,<3.11"
# FIXME: This should be recent pyinfra, but the recent protobuf packages are not compatible with tensorflow 2.9.0, also
#  see RED-9948.
pyinfra = { version = "3.4.2", source = "gitlab-research" }
kn-utils = { version = ">=0.4.0", source = "gitlab-research" }
dvc = "^2.34.0"
dvc-ssh = "^2.20.0"
dvc-azure = "^2.21.2"
Flask = "^2.1.1"
requests = "^2.27.1"
iteration-utilities = "^0.11.0"
waitress = "^2.1.1"
envyaml = "^1.10.211231"
dependency-check = "^0.6.0"
mlflow = "^1.24.0"
numpy = "^1.22.3"
tqdm = "^4.64.0"
pandas = "^1.4.2"
# FIXME: Our current model significantly changes the prediction behaviour when using newer tensorflow (/ protobuf)
#  versions which is introduuced by pyinfra updates using newer protobuf versions, see RED-9948.
tensorflow = "2.9.0"
protobuf = "^3.20"
pytest = "^7.1.0"
funcy = "^2"
PyMuPDF = "^1.19.6"
fpdf = "^1.7.2"
coverage = "^6.3.2"
Pillow = "^9.1.0"
pdf2image = "^1.16.0"
frozendict = "^2.3.0"
fsspec = "^2022.11.0"
PyMonad = "^2.4.0"
pdfnetpython3 = "9.4.2"
loguru = "^0.7.0"
cyclonedx-bom = "^4.5.0"

[tool.poetry.group.dev.dependencies]
pytest = "^7.0.1"
pymonad = "^2.4.0"
pylint = "^2.17.4"
ipykernel = "^6.23.2"

[tool.pytest.ini_options]
testpaths = ["test"]
addopts = "--ignore=data"
filterwarnings = ["ignore:.*:DeprecationWarning"]

[[tool.poetry.source]]
name = "PyPI"
priority = "primary"

[[tool.poetry.source]]
name = "gitlab-research"
url = "https://gitlab.knecon.com/api/v4/groups/19/-/packages/pypi/simple"
priority = "explicit"

[[tool.poetry.source]]
name = "gitlab-red"
url = "https://gitlab.knecon.com/api/v4/groups/12/-/packages/pypi/simple"
priority = "explicit"

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