pyproject.toml

[project]
name = "text2vector"
version = "1.0.0"
description = "API to call an embedding model"
readme = "README.md"
requires-python = ">=3.12"

dependencies = [
    "black>=25.9.0",
    "fastapi>=0.119.0",
    "httpx>=0.28.1",
    "mypy>=1.18.2",
    "pydantic>=2.12.0",
    "pytest>=8.4.2",
    "ruff>=0.14.0",
    "torch>=2.8.0",
    "transformers>=4.57.0",
    "uvicorn>=0.37.0",
]

# https://quantlane.com/blog/type-checking-large-codebase/
[tool.mypy]
# Ensure full coverage
disallow_untyped_calls = false
disallow_untyped_defs = true
disallow_incomplete_defs = true
disallow_untyped_decorators = false
check_untyped_defs = true

# Restrict dynamic typing
disallow_any_generics = false
disallow_subclassing_any = false
warn_return_any = false

# Know exactly what you're doing
warn_redundant_casts = true
warn_unused_ignores = false
warn_unused_configs = true
warn_unreachable = true
show_error_codes = true

# Explicit is better than implicit
no_implicit_optional = true