207 lines
4.2 KiB
TOML
207 lines
4.2 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "learn-sql-model"
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description = 'learning sql model'
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readme = "README.md"
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requires-python = ">=3.7"
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license = "MIT"
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keywords = []
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authors = [
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{ name = "Waylon S. Walker", email = "waylon@waylonwalker.com" },
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]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Programming Language :: Python",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: Implementation :: CPython",
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"Programming Language :: Python :: Implementation :: PyPy",
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]
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dependencies = [
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"black",
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"python-socketio[client]",
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"anyconfig",
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"copier",
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"engorgio",
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"fastapi",
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"httpx",
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"pydantic[dotenv]",
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"pyflyby",
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"pyinstaller",
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"rich",
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"sqlmodel",
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"textual",
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"toml",
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"trogon",
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"typer",
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]
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dynamic = ["version"]
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[project.optional-dependencies]
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game = [
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"noise",
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"pygame",
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"polyfactory",
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"faker",
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]
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api = [
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"fastapi-socketio",
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"passlib[bcrypt]",
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"psycopg2",
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"psycopg2-binary",
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"python-jose[cryptography]",
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"python-multipart",
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"uvicorn[standard]",
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]
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manage = [
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"alembic",
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"polyfactory",
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"faker",
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]
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all = [
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"learn_sql_model[game, api, manage]",
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]
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[project.urls]
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Documentation = "https://github.com/waylonwalker/learn-sql-model#readme"
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Issues = "https://github.com/waylonwalker/learn-sql-model/issues"
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Source = "https://github.com/waylonwalker/learn-sql-model"
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Changelog = "https://github.com/waylonwalker/learn-sql-model"
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[project.scripts]
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learn-sql-model = "learn_sql_model.cli.app:app"
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lsm = "learn_sql_model.cli.app:app"
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[tool.hatch.version]
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path = "learn_sql_model/__about__.py"
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[tool.hatch.envs.default]
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dependencies = [
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"black",
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"ipython",
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"coverage[toml]",
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"coverage-rich",
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"markata",
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"mypy",
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"pyflyby",
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"pytest",
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"pytest-mock",
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"ruff",
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"alembic",
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]
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[tool.hatch.envs.default.scripts]
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test = "coverage run -m pytest"
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cov = "coverage-rich report"
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cov-erase = "coverage erase"
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lint = "ruff learn_sql_model"
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format = "black learn_sql_model"
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format-check = "black --check learn_sql_model"
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fix_ruff = "ruff --fix learn_sql_model"
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fix = ['format', 'fix_ruff']
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build = "pyinstaller --onefile --name learn_sql_model --clean --noconsole learn_sql_model/game/game.py"
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build-docs = "markata build"
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lint-test = [
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"lint",
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"format-check",
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"cov-erase",
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"test",
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"cov",
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]
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test-lint = "lint-test"
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api = "learn-sql-model api run"
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[[tool.hatch.envs.test.matrix]]
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python = ["37", "38", "39", "310", "311"]
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[tool.coverage.run]
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source=["learn_sql_model"]
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branch = true
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parallel = true
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omit = [
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"learn_sql_model/__about__.py",
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]
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[tool.coverage.report]
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exclude_lines = [
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"no cov",
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"if __name__ == .__main__.:",
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"if TYPE_CHECKING:",
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]
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[tool.pytest.ini_options]
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addopts = "-ra -q"
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testpaths = ["tests"]
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[tool.coverage_rich]
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fail-under=80
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[tool.ruff]
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ignore = ["E501"]
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target-version = "py37"
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[tool.ruff.per-file-ignores]
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'tests/**/*.py' = ['S101']
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select = [
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"F", # Pyflakes
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"E", # Error
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"W", # Warning
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"C90", # mccabe
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"I", # isort
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"N", # pep8-naming
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# "D", # pydocstyle
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"UP", # pyupgrade
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"YTT", # flake8-2020
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"ANN", # flake8-annotations
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"S", # flake8-bandit
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"BLE", # flake8-blind-except
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"FBT", # flake8-boolean-trap
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"B", # flake8-bugbear
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"A", # flake8-builtins
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"COM", # flake8-commas
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"C4", # flake8-comprehensions
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"DTZ", # flake8-datetimez
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"T10", # flake8-debugger
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"DJ", # flake8-django
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"EM", # flake8-errmsg
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"EXE", # flake8-executable
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"ISC", # flake8-implicit-str-concat
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"ICN", # flake8-import-conventions
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"G", # flake8-logging-format
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"INP", # flake8-no-pep420
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"PIE", # flake8-pie
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"T20", # flake8-print
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"PYI", # flake8-pyi
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"PT", # flake8-pytest-style
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"Q", # flake8-quotes
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"RSE", # flake8-raise
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"RET", # flake8-return
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"SLF", # flake8-self
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"SIM", # flake8-simplify
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"TID", # flake8-tidy-imports
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"TCH", # flake8-type-checking
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# "INT", # flake8-gettext
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"ARG", # flake8-unused-arguments
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"PTH", # flake8-use-pathlib
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"ERA", # eradicate
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"PD", # pandas-vet
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"PGH", # pygrep-hooks
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"PL", # Pylint
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"PLC", # Convention
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"PLE", # Error
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"PLR", # Refactor
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"PLW", # Warning
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"TRY", # tryceratops
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"NPY", # NumPy-specific rules
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"RUF", # Ruff-specific rules
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]
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