pixi.toml

[workspace]
name = "codameter"
version = "0.1.0"
description = "Operational six-phase workflow for interpreting seismic velocity changes (dv/v) as stress and strain meters"
channels = ["conda-forge"]
platforms = ["osx-arm64", "osx-64", "linux-64"]

# ── Core runtime deps (conda-forge) ─────────────────────────────────────────
[dependencies]
python     = ">=3.10,<3.13"
numpy      = ">=1.24"
scipy      = ">=1.10"
pandas     = ">=2.0"
pyarrow    = ">=12.0"
matplotlib = ">=3.7"
pyyaml     = ">=6.0"
xarray     = ">=2023.6"
netcdf4 = ">=1.7.4,<2"

# codameter itself – editable install via pip
[pypi-dependencies]
codameter = { path = ".", editable = true }
disba = ">=0.7,<0.8"

# ── Features ────────────────────────────────────────────────────────────────

[feature.notebooks.dependencies]
jupyterlab = ">=4.0"
ipywidgets = ">=8.1"
ipykernel  = ">=6.0"
nbformat   = ">=5.9"

[feature.kernels.pypi-dependencies]
disba = ">=0.7,<0.8"

[feature.test.dependencies]
pytest     = ">=7.4"
pytest-cov = ">=4.1"
hypothesis = ">=6.80"

[feature.test.pypi-dependencies]
nbval     = ">=0.11"    # for notebook-based pytest
codameter = { path = ".", editable = true }
disba     = ">=0.7,<0.8"


[feature.dev.dependencies]
black      = ">=23.10"
ruff       = ">=0.1"
mypy       = ">=1.6"
pre-commit = ">=3.5"

# ── Environments ─────────────────────────────────────────────────────────────
[environments]
# `pixi install` / `pixi run` uses this by default
default  = { features = ["notebooks"],                            solve-group = "main" }
test     = { features = ["test"],                                 solve-group = "main" }
dev      = { features = ["dev", "test", "notebooks", "kernels"], solve-group = "main" }

# ── Tasks ────────────────────────────────────────────────────────────────────
[tasks]
# Start JupyterLab
lab = { cmd = "jupyter lab", description = "Launch JupyterLab" }

# Run the full test suite
test = { cmd = "pytest -ra --cov=src/codameter --cov-report=term", description = "Run pytest" }

# Regenerate the golden synthetic-CCF manifest (recipes + expected metrics)
golden = { cmd = "python -m codameter.golden", description = "Regenerate tests/data/golden/manifest.json" }

# Export the golden dv/v datasets as FrugalMind-compatible JSONL + manifest
frugalmind-export = { cmd = "python -m codameter.frugalmind --out datasets", description = "Export dv/v benchmark rows as JSONL (FrugalMind format)" }

# Shardable config-sweep benchmark (plan / sweep / aggregate); scales to Fargate
bench = { cmd = "python -m codameter.bench", description = "Config-sweep benchmark over case x config grids" }

# Run only the Parkfield notebook-friendly example
parkfield = { cmd = "python examples/01_parkfield_synthetic.py", description = "Synthetic Parkfield demo" }

# Optional California CVM support via SCEC's Docker image.
install-ucvm-query = { cmd = "python scripts/install_ucvm_query_docker.py", description = "Create a local ucvm_query wrapper backed by Docker/SCEC UCVM" }