pyproject.toml

[build-system]
requires = ["setuptools>=46.4.0", "wheel>=0.36.2"]
build-backend = "setuptools.build_meta"

[project]
name = "aigear"
version = "0.0.1"
#dynamic = ["version"]
description = "Machine learning microservices based on gRPC"
keywords = ["MLOps", "AI", "ML", "Model Serving", "Model Deployment", "Model Training"]
authors = [{ name = "Retail AI Groups Inc." }]
readme = "README.md"
license = { file = 'LICENSE' }
requires-python = ">=3.8"
classifiers = [
    "Intended Audience :: Science/Research",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3 :: Only",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "License :: OSI Approved :: MIT License",
    "Operating System :: Microsoft :: Windows",
    "Operating System :: Unix",
    "Operating System :: MacOS",
]
dependencies = [
    "aigear[common]",
    "aigear[docker]",
    "aigear[msgrpc]",
]

[project.urls]
Homepage = "https://github.com/retail-ai-inc/gear"
Repository = "https://github.com/retail-ai-inc/aigear.git"
Issues = "https://github.com/retail-ai-inc/aigear/issues"

[project.optional-dependencies]
common = [
    "tabulate >= 0.9",
    "cloudpickle >= 2.0.0",
]
docker = [
    "docker >= 6.13",
]
msgrpc = [
    "grpcio >= 1.54.2",
    "protobuf >= 4.23.3",
    "grpcio-health-checking >= 1.56.0",
    "sentry-sdk >= 1.29.2",
]

[project.scripts]
aigear-msgrpc = "aigear.microservices.grpc.service:main"
aigear-init = "aigear.cli.project_cli:project_init"
aigear-workflow = "aigear.cli.workflow:run_workflow"

[tool.setuptools.packages.find]
where = ["src"]
include = [
    "aigear*",
]