[build-system]
requires = ["setuptools>=64", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "commander-ai-lab"
version = "1.0.0"
description = "Commander AI Lab — EDH deck simulation, collection management, and analysis tools"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT"}

dependencies = [
    "fastapi>=0.100.0",
    "uvicorn[standard]>=0.23.0",
    "pydantic>=2.0.0",
    "httpx>=0.24.0",
    "websockets>=11.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "pytest-asyncio>=0.21",
    "httpx>=0.24.0",
    "ruff>=0.1.0",
]
# RAG Phase 2: ChromaDB vector store + Ollama embedding support
# Install with:  pip install ".[rag]"
rag = [
    "chromadb>=0.5.0",
]
# Local coach embeddings (sentence-transformers, no Ollama required)
# Install with:  pip install ".[coach-embeddings]"
coach-embeddings = [
    "sentence-transformers>=3.0.0",
    "torch>=2.0.0",
    "pandas>=1.5.0",
    "pyarrow>=12.0.0",
]
# Full local AI stack (RAG + coach embeddings)
# Install with:  pip install ".[all]"
all = [
    "chromadb>=0.5.0",
    "sentence-transformers>=3.0.0",
    "torch>=2.0.0",
    "pandas>=1.5.0",
    "pyarrow>=12.0.0",
]

[tool.setuptools.packages.find]
where = ["src"]

[project.scripts]
commander-sim = "commander_ai_lab.lab.experiments:_cli_main"

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = [".", "src"]

[tool.ruff]
line-length = 120
target-version = "py310"