[project]
name = "knowledge-pipeline"
version = "0.1.0"
description = "RAG Pipeline for document chunking, embedding, and vector search"
readme = "README.md"
requires-python = ">=3.12"
authors = [
    { name = "Anibal Angulo", email = "A8065384@banorte.com" }
]

dependencies = [
    # Core dependencies
    "google-cloud-aiplatform>=1.106.0",
    "google-cloud-storage>=2.19.0",
    "pydantic>=2.11.7",
    "pydantic-settings[yaml]>=2.10.1",
    # Chunking
    "chonkie>=1.1.2",
    "tiktoken>=0.7.0",
    "langchain>=0.3.0",
    "langchain-core>=0.3.0",
    # Document processing
    "markitdown[pdf]>=0.1.2",
    "pypdf>=6.1.2",
    "pdf2image>=1.17.0",
    # Utils
    "typer>=0.16.1",
    "pydantic-ai>=0.0.5",
]

[build-system]
requires = ["uv_build>=0.8.3,<0.9.0"]
build-backend = "uv_build"

[dependency-groups]
dev = [
    "pytest>=8.4.1",
    "ruff>=0.12.10",
    "ty>=0.0.18",
]

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

[tool.pytest.ini_options]
addopts = [
    "--strict-markers",
    "--tb=short",
    "--disable-warnings",
]
markers = [
    "unit: Unit tests",
    "integration: Integration tests",
    "slow: Slow running tests",
]