chore: auto-commit (95 archivos)

- cmd/fn/doctor.go
- cmd/fn/main.go
- cpp/apps/primitives_gallery/playground/tables/CMakeLists.txt
- cpp/apps/primitives_gallery/playground/tables/data_table.cpp
- cpp/apps/primitives_gallery/playground/tables/data_table_logic.cpp
- cpp/apps/primitives_gallery/playground/tables/data_table_logic.h
- cpp/apps/primitives_gallery/playground/tables/self_test.cpp
- cpp/apps/primitives_gallery/playground/tables/tql.cpp
- cpp/apps/primitives_gallery/playground/tables/viz.cpp
- cpp/apps/primitives_gallery/playground/tables/viz.h
- ...

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

python/functions/datascience/vault_csv_profile.md

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+---
+name: vault_csv_profile
+kind: function
+lang: py
+domain: datascience
+version: "1.0.0"
+purity: impure
+signature: "def vault_csv_profile(vault_path: str, rel_path: str, db_path: str | None = None) -> dict"
+description: "Perfila un CSV del vault: detecta encoding, lee schema con polars, extrae n_rows y columnas de fecha; persiste en csv_profiles y actualiza files_fts para búsqueda por contenido."
+tags: [vault, csv, profiling, polars, encoding, datascience, fts]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: "error_go_core"
+imports: [sqlite3, time, pathlib, json, polars, chardet]
+params:
+  - name: vault_path
+    desc: "Ruta absoluta a la raiz del vault donde vive el CSV y vault_index.db."
+  - name: rel_path
+    desc: "Ruta relativa al CSV dentro del vault (ej. 'data/raw/ventas.csv')."
+  - name: db_path
+    desc: "Override opcional de la ruta a vault_index.db. Por defecto <vault_path>/vault_index.db."
+output: "Dict con: rel_path (str), cols (list de {name, dtype}), n_rows (int), encoding (str), date_min/date_max (ISO yyyy-mm-dd o None), persisted (bool)."
+tested: true
+tests:
+  - "test_csv_basic"
+  - "test_csv_date_detection"
+  - "test_csv_encoding_latin1"
+  - "test_csv_empty"
+  - "test_csv_persists_fts"
+test_file_path: "python/functions/datascience/tests/test_vault_csv_profile.py"
+file_path: "python/functions/datascience/vault_csv_profile.py"
+---
+
+## Ejemplo
+
+```python
+from vault_csv_profile import vault_csv_profile
+
+result = vault_csv_profile("/vaults/mi_vault", "data/raw/ventas.csv")
+# {
+#   "rel_path": "data/raw/ventas.csv",
+#   "cols": [{"name": "fecha", "dtype": "String"}, {"name": "importe", "dtype": "Float64"}],
+#   "n_rows": 1500,
+#   "encoding": "utf-8",
+#   "date_min": "2023-01-01",
+#   "date_max": "2023-12-31",
+#   "persisted": True
+# }
+```
+
+## Notas
+
+- Usa polars (lazy scan) como motor principal; pandas como fallback.
+- Detección de encoding: chardet con confianza >= 0.6, luego intentos utf-8-sig → utf-8 → latin-1 → cp1252.
+- Detección de fechas: columnas Date/Datetime nativas de polars, o columnas String con ≥80% de valores parseables como fecha.
+- El FTS text incluye nombres de columnas + primeras 5 filas concatenadas.
+- Upsert en csv_profiles por rel_path; el rowid de files_fts se ancla al rowid de la tabla files para que vault_search funcione correctamente.
+- Si vault_index.db no existe, la función retorna el dict sin intentar persistir (persisted=False).
+- Dependencias: polars, chardet (ambas instaladas en python/.venv con uv add).