[project]
name = "second-brain"
version = "0.1.0"
description = "Personal knowledge system: video/article extraction pipeline + LLM-maintained wiki"
requires-python = ">=3.12"
dependencies = [
    "alembic>=1.13.0",
    "click>=8.1.0",
    "embedding-chunking",
    "fastapi>=0.115.0",
    "httpx>=0.28.0",
    "jinja2>=3.1.0",
    "psycopg[binary]>=3.2",
    "psycopg-pool>=3.2",
    "pydantic>=2.0.0",
    "python-dotenv>=1.0.0",
    "python-multipart>=0.0.20",
    "sqlalchemy>=2.0.0",
    "tomli>=2.0.0",
    "trafilatura>=1.9.0",
    "uvicorn[standard]>=0.30.0",
    "yt-dlp>=2024.1.0",
]

[project.optional-dependencies]
# Only required when extractor.backend = "api" in settings.toml.
# The default "cli" backend shells out to the Claude Code CLI under your
# Max OAuth subscription and has no Python-side Anthropic dependency.
api = ["anthropic>=0.40.0"]

# Tower-only: faster-whisper (CTranslate2) + the matched CUDA-12 runtime
# pulled in as wheels. Arch/EndeavourOS now ships CUDA 13 (libcublas.so.13)
# which ctranslate2 4.7+ cannot load — it wants libcublas.so.12 + cuDNN 9.
# Pinning the CUDA-12 runtime via pip wheels in the venv sidesteps the
# system CUDA mismatch entirely. sys_platform marker keeps these out of
# any non-Linux resolve (the nvidia wheels are Linux-only anyway, but the
# marker makes that explicit). Install with `uv sync --extra tower`; do
# not install on dev.
tower = [
    "faster-whisper>=1.0.0",
    "nvidia-cublas-cu12; sys_platform == 'linux'",
    "nvidia-cudnn-cu12>=9,<10; sys_platform == 'linux'",
]

[dependency-groups]
dev = [
    "pytest>=8.0",
    "pytest-cov>=5.0",
    "ruff>=0.8",
]

[tool.uv.sources]
# Shared chunker that vault-mcp / ob1-enricher / ob1-reflector also pin.
# Same source so the 512/64 chunking stays in lockstep across services.
embedding-chunking = { git = "https://gitea.plantbasedsoutherner.com/petal-power/embedding-chunking.git", tag = "v0.1.0" }

[project.scripts]
second-brain = "second_brain.main:cli"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["src/second_brain"]