feat(eda): render de models en markdown + PDF DB-level para profile_database (H4,H9)

- H4: render_eda_markdown anade seccion Modelos (PCA/KMeans/normalidad/outliers);
  render_eda_pdf formatea models/series/caveats como tablas (no str(dict) crudo)
- H9: profile_database gana flag emit_pdf -> PDF movil DB-level (resumen tablas +
  join graph) via render_eda_pdf_relational; clave report_pdf_path
- aditivos y retrocompatibles (flags default False). 38 tests verdes

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Egutierrez
2026-06-29 04:05:38 +02:00
parent caf8c25d99
commit c4cff5ed5b
7 changed files with 706 additions and 15 deletions
@@ -173,3 +173,62 @@ def test_tolerates_empty_profile():
def test_tolerates_none_profile():
md = render_eda_markdown(None)
assert "# EDA — (unnamed)" in md
def _sample_models():
"""Bloque `models` como el que produce run_eda_models (PCA/KMeans/...)."""
return {
"n_numeric_cols": 3,
"pca": {
"n_components": 2,
"n_rows_used": 1000,
"n_features": 3,
"explained_variance_ratio": [0.62, 0.21],
"cumulative": [0.62, 0.83],
"top_loadings": [
{"component": 0, "feature": "price", "loading": 0.71},
{"component": 1, "feature": "qty", "loading": -0.55},
],
},
"kmeans": {
"best_k": 3,
"silhouette": 0.48,
"cluster_sizes": [500, 300, 200],
"scores_by_k": [
{"k": 2, "silhouette": 0.41, "inertia": 1200.0},
{"k": 3, "silhouette": 0.48, "inertia": 900.0},
],
},
"outliers": {
"n_outliers": 35,
"outlier_pct": 3.5,
"threshold": -0.51,
},
"normality": {
"price": {"jarque_bera": {"p": 0.0001}, "is_normal": False},
},
"note": "",
}
def test_models_section_rendered():
# H4: el bloque models antes se omitía en markdown; ahora tiene formatter.
profile = _sample_profile()
profile["models"] = _sample_models()
md = render_eda_markdown(profile)
assert "## Modelos" in md
assert "### PCA" in md
assert "### KMeans" in md
assert "### Outliers multivariante (Isolation Forest)" in md
assert "### Normalidad" in md
# Datos reales del PCA renderizados (varianza explicada ×100) y KMeans.
assert "62.0" in md # explained_variance_ratio 0.62 -> 62.00%
assert "mejor k = 3" in md
# outlier_pct del modelo ya viene en escala 0-100: 3.5 -> "3.5%", no "350".
assert "3.5%" in md
def test_models_absent_when_none():
# Edge: profile sin models (None) no produce sección Modelos ni rompe.
md = render_eda_markdown(_sample_profile()) # models=None en el sample
assert "## Modelos" not in md