feat: Introduce bot-digitador service for automated data entry in Integración Total. Add CLI and GUI interfaces for CSV processing, implement auto-start functionality on Windows, and enhance README with setup instructions and usage details. Include necessary configurations in docker-compose for service integration.

services/cleaning/domain/csv_cleaning/apply.py

@@ -49,6 +49,11 @@ def apply_rules(
     if col not in result.columns:
       log.append(f"[WARN] Columna no encontrada: {col}")
       return
+    # Eliminar columna: no tiene sentido transformar y luego borrar.
+    if "drop_column" in rule_ids:
+      result.drop(columns=[col], inplace=True)
+      log.append(f"[OK] '{col}' <- {get_rule_name('drop_column')}")
+      return
     split_has_homologation = (
       "doc_id_split_tipo_numero" in rule_ids and "doc_type_homologate" in rule_ids
     )

services/cleaning/domain/csv_cleaning/rules/builtins.py

@@ -140,5 +140,14 @@ register_rule(
   ),
   fn=special._rule_passthrough_series,
 )
+register_rule(
+  "drop_column",
+  name="Eliminar columna",
+  description=(
+    "Quita por completo esta columna del resultado limpio. "
+    "Útil para campos que no se necesitan en el export o en pasos posteriores."
+  ),
+  fn=special._rule_passthrough_series,
+)
 
 rebuild_cleaning_rules()

services/cleaning/domain/csv_cleaning/type_inference.py

@@ -99,7 +99,12 @@ def _infer_column_type(
 
 def _applicable_rules_for_type(inferred_type: str) -> list[str]:
   """Identificadores de reglas a mostrar según el tipo inferido (sin redundancias)."""
-  base = ["strip_special_spaces", "strip_special_keep_date_seps", "strip_spaces"]
+  base = [
+    "strip_special_spaces",
+    "strip_special_keep_date_seps",
+    "strip_spaces",
+    "drop_column",
+  ]
   if inferred_type == TYPE_INTEGER:
     return base + ["cop_mod_split", "cop_mod_bruto_neto"]
   if inferred_type == TYPE_DECIMAL: