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fn_registry/python/functions/datascience/automatic_eda/chapters_registry.py
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egutierrez fc5bc334c8 feat(eda): capítulo ANÁLISIS LLM para AutomaticEDA, junto al overview
Nuevo capítulo `analisis_llm` del motor AutomaticEDA. Consume el bloque `llm`
que `eda_llm_insights` (grupo eda) ya deja en el TableProfile —no llama al LLM
ni recalcula— y lo convierte en bloques del modelo de documento para que se
renderice sin cortarse en PDF ni PPTX:

- Resumen de la tabla y significado de una fila -> bloques Markdown (el
  renderer los envuelve a líneas completas, nunca pierde texto).
- Diccionario de datos y PII -> DataTable (el paginador parte por filas
  repitiendo cabecera y envuelve celdas largas dentro de su columna).
- Análisis sugeridos y limpieza sugerida -> listas de viñetas Markdown; cada
  entrada es una línea completa que el renderer envuelve, nunca trunca.

Lectura defensiva (.get) en todo; devuelve None si el profile no trae bloque
`llm` (p.ej. profile_table sin run_llm) para omitir el capítulo.

MUST-3.2 (report 2043): se mueve `analisis_llm` en CHAPTER_ORDER a la posición
inmediatamente posterior a `overview`, como pidió el usuario ("va junto al
overview").

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 15:01:26 +02:00

90 lines
3.6 KiB
Python

"""Chapter registry — the canonical order of an AutomaticEDA document.
``CHAPTER_ORDER`` declares every chapter the engine will *ever* place, in the
order they appear in the document. Each id maps by convention to a module
``automatic_eda/chapters/<id>.py`` exposing ``build_<id>(profile, ctx) ->
Chapter | None`` and a ``CHAPTER_VERSION`` constant.
This pre-declared order is what lets many agents add chapters in parallel
without contention: an agent only creates its own ``chapters/<id>.py`` module —
it never edits this file. ``build_document`` imports each chapter lazily; a
chapter whose module does not exist yet (not implemented) is simply skipped, so
the document is always renderable with whatever chapters are present today.
``build_document`` never raises: a chapter that errors out is dropped with a
note, and a chapter that returns ``None`` (does not apply to this dataset, e.g.
time series on a dataset with no date column) is omitted.
"""
from __future__ import annotations
import importlib
from . import model
# Canonical document order. Implemented today: portada, overview. The rest are
# placeholders other agents will fill by creating chapters/<id>.py — they will
# appear in this exact position automatically once their module exists.
CHAPTER_ORDER = [
"portada", # cover
"overview", # df.head + columns/types/nulls/examples + describe
"analisis_llm", # LLM interpretation — sits next to overview (user request)
"num_distr", # numeric distributions
"cat_distr", # categorical distributions
"calidad", # data quality
"correlacion", # correlations / associations
"modelos", # cheap models (PCA/KMeans/outliers)
"timeseries", # time-series analysis
"geospatial", # geospatial
"agregacion", # aggregations / pivots
]
def build_chapter(chapter_id: str, profile: dict, ctx: dict):
"""Build a single chapter by id, or None if absent/not-applicable/error.
Looks up ``automatic_eda.chapters.<chapter_id>`` and calls its
``build_<chapter_id>(profile, ctx)``. Returns a normalized Chapter, or None
when the module is missing, the builder returns None, or anything raises.
"""
mod_name = f"{__package__}.chapters.{chapter_id}"
try:
mod = importlib.import_module(mod_name)
except Exception: # noqa: BLE001 — chapter not implemented yet → skip.
return None
builder = getattr(mod, f"build_{chapter_id}", None)
if builder is None:
return None
try:
result = builder(profile or {}, ctx or {})
except Exception: # noqa: BLE001 — a broken chapter never aborts the doc.
return None
return model.as_chapter(result)
def build_document(profile: dict, ctx: dict = None) -> list:
"""Build the full ordered list of chapters for a TableProfile.
Args:
profile: the ``eda`` group TableProfile dict (may be None/empty).
ctx: optional context dict carrying presentation metadata not present in
the profile (dataset_name, source_origin, storage, generated_at,
description, granularity, quality_criteria, head_rows, ...).
Returns:
list[Chapter] in canonical order, containing only the chapters that are
implemented and applicable. Never raises.
"""
if profile is None:
profile = {}
if not isinstance(profile, dict):
profile = {}
if ctx is None:
ctx = {}
chapters = []
for cid in CHAPTER_ORDER:
ch = build_chapter(cid, profile, ctx)
if ch is not None and ch.blocks:
chapters.append(ch)
return chapters