pyproject.toml

[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "slop-farmer"
version = "0.1.0"
description = "GitHub-to-Hub data pipeline for transformers issue and PR triage research."
readme = "README.md"
requires-python = ">=3.13.5"
dependencies = [
  "duckdb>=1.2.2",
  "pyarrow>=18.0.0",
  "fastapi>=0.115.0",
  "huggingface_hub>=0.30.0",
  "pydantic>=2.11",
  "PyYAML>=6.0.2",
  "rank-bm25>=0.2.2",
  "fast-agent-mcp>=0.6.17",
  "uvicorn>=0.34.0",
]

[project.optional-dependencies]
dev = [
  "httpx>=0.28.0",
  "pytest>=8.3.0",
  "ruff>=0.11",
  "ty>=0.0.23",
]
llm = [
  "fast-agent-mcp>=0.6.16; python_full_version >= '3.13.5'",
]

[project.scripts]
slop-farmer = "slop_farmer.app.cli:main"

[tool.setuptools]
package-dir = {"" = "src"}

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

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

[tool.ruff]
line-length = 100
target-version = "py311"

[tool.ruff.lint]
select = [
  "B",
  "E",
  "F",
  "I",
  "RUF",
  "SIM",
  "UP",
]
ignore = ["E501"]

[tool.slop-farmer.analyze]
output-dir = "eval_data"
hf-repo-id = "evalstate/transformers-pr"
ranking-backend = "hybrid"
model = "gpt-5.4-mini"
max-clusters = 10

[tool.slop-farmer.dashboard-data]
output-dir = "web/public/data"
window-days = 14