RecSys2019_DeepLearning_Evaluation/pyproject.toml at ffced8eb58d4bec7e0d5e5c2aa472628b6f7d8ac · MaurizioFD/RecSys2019_DeepLearning_Evaluation · GitHub

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[tool.poetry]
name = "recommender-systems-evaluation"
version = "0.1.0"
description = "A comprehensive evaluation framework for deep learning-based recommender systems"
authors = ["Your Name <you@example.com>"]
readme = "README.md"
license = "LICENSE"
packages = [{include = "*", from = "."}]

[tool.poetry.dependencies]
python = ">=3.7,<3.12"
# Core dependencies - versions updated for compatibility
numpy = ">=1.16.2"
pandas = ">=0.24.2"
scipy = ">=1.2.1"
scikit-learn = ">=0.20.3"
matplotlib = ">=3.0.3"
seaborn = ">=0.9.0"
tqdm = ">=4.31.1"
h5py = ">=2.9.0"
# Note: TensorFlow 1.x and related packages would need to be installed separately
# as they have specific version requirements and compatibility issues

[tool.poetry.group.dev.dependencies]
pytest = "^7.4.0"
pytest-cov = "^4.1.0"
pytest-mock = "^3.11.0"

[tool.poetry.scripts]
test = "pytest:main"
tests = "pytest:main"

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py", "tests.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = [
    "--strict-markers",
    "--tb=short",
    "--cov=.",
    "--cov-branch",
    "--cov-report=term-missing:skip-covered",
    "--cov-report=html",
    "--cov-report=xml",
    "--cov-fail-under=80",
    "-v"
]
markers = [
    "unit: marks tests as unit tests (fast, isolated)",
    "integration: marks tests as integration tests (may require external resources)",
    "slow: marks tests as slow running"
]
filterwarnings = [
    "ignore::DeprecationWarning",
    "ignore::PendingDeprecationWarning"
]

[tool.coverage.run]
source = ["."]
omit = [
    "*/tests/*",
    "*/test_*.py",
    "*_test.py",
    "*/CythonCompiler/*",
    "*/setup.py",
    "*/conf.py",
    "*/__pycache__/*",
    "*/venv/*",
    "*/virtualenv/*",
    "*/.venv/*",
    "*/site-packages/*"
]

[tool.coverage.report]
precision = 2
show_missing = true
skip_covered = false
fail_under = 80
exclude_lines = [
    "pragma: no cover",
    "def __repr__",
    "if TYPE_CHECKING:",
    "raise AssertionError",
    "raise NotImplementedError",
    "if __name__ == .__main__.:",
    "if 0:",
    "class .*\\bProtocol\\):",
    "@(abc\\.)?abstractmethod"
]

[tool.coverage.html]
directory = "htmlcov"

[tool.coverage.xml]
output = "coverage.xml"

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

# Note: The original requirements.txt contains legacy dependencies that may need special handling:
# - tensorflow==1.13.1 (requires Python <=3.7)
# - keras==2.2.4 (old version, now part of TensorFlow)
# - dm-sonnet==1.29 (DeepMind library, may have specific requirements)
# - Other ML libraries with specific version constraints
#
# For development requiring these specific versions, consider:
# 1. Using a Python 3.7 virtual environment
# 2. Installing from requirements.txt directly: pip install -r requirements.txt
# 3. Using Docker containers with appropriate base images