Federated-Learning/pyproject.toml at develop · MalakaRodrigo/Federated-Learning · GitHub

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[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "sqs-fl-framework"
version = "1.3.0"
description = "Model-agnostic Federated Learning framework with Amazon SQS event bus"
readme = "README.md"
license = "MIT"
requires-python = ">=3.10"
authors = [{ name = "Randini_Maliksha", email = "maliksharandini@gmail.com" }]
keywords = ["federated-learning", "sqs", "machine-learning", "distributed"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "numpy>=1.24.0",
    "pandas>=2.0.0",
    "boto3>=1.34.0",
    "python-dotenv>=1.0.0",
    "pymongo>=4.6.0",
]

[project.optional-dependencies]
http = [
    "requests>=2.31.0",   # only needed when use_mongodb=False (HTTP/backend mode)
]
dev = [
    "pytest>=8.0",
    "pytest-cov>=5.0",
    "moto[sqs]>=5.0",     # SQS mocking for tests
    "black>=24.0",
    "ruff>=0.4",
    "mypy>=1.9",
]

[tool.setuptools.packages.find]
where = ["."]
include = ["fl_framework*"]

[tool.mypy]
python_version = "3.10"
strict = false
ignore_missing_imports = true

[tool.ruff]
line-length = 100
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "I", "UP"]

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-v --tb=short"