417 lines
18 KiB
Python
417 lines
18 KiB
Python
"""
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Tareas Celery para importación CSV de Pedimentos.
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Flujo: scan_file (validación) → insert_valid_rows (commit).
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Usa layouts_csv.common (storage, normalize, meta, responses, csv_reader), fk_loader, validators, mappers.
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Create/update delegan en PedimentosService; defaults de fechas (pedimento_dates) y merge vs replace
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están alineados con el servicio para paridad con el flujo API.
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"""
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import json
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import logging
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import os
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from datetime import datetime
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from typing import Dict, Any, Optional, List
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from core.celery_app import celery_app
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from core.database import CoreSessionLocal
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from ..common import storage as common_storage
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from ..common import normalize as common_normalize
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from ..common import meta as common_meta
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from ..common import responses as common_responses
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from ..common import csv_reader as common_csv_reader
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from .template_config import (
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row_from_template,
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is_clarion_layout,
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parse_pedimento_col_a,
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detect_headers_or_data,
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)
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from .validators import validate_row_pedimento
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from .common.mappers import row_to_pedimento_data, row_to_pedimento_data_merge_existing
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from .common.fk_loader import load_pedimentos_fk_sets, pedimento_key_from_parsed
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logger = logging.getLogger(__name__)
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JOB_TYPE = "ped"
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TEMPLATE_ID = "pedimentos"
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# Para routes.py
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PED_IMPORT_FILE_PREFIX = "ped_import_file:"
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PED_IMPORT_META_PREFIX = "ped_import_meta:"
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PED_IMPORT_ERROR_LINES_PREFIX = "ped_import_error_lines:"
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PED_IMPORT_REDIS_TTL = common_storage.IMPORT_REDIS_TTL
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def _norm_row(row: Dict[str, Any]) -> Dict[str, Any]:
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return row_from_template(row, common_normalize.normalize_header, TEMPLATE_ID)
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def _do_scan(job_id: str, progress_callback: Optional[Any] = None) -> Dict[str, Any]:
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file_path = common_storage.ensure_file_from_redis(JOB_TYPE, job_id, "Pedimentos import")
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if not file_path:
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return {"status": "failed", "error": "Archivo no encontrado (expirado o no subido). Sube de nuevo."}
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if os.path.getsize(file_path) == 0:
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return {"status": "failed", "error": "El archivo está vacío. Verifica que el CSV tenga contenido."}
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common_storage.ensure_meta_from_redis(JOB_TYPE, job_id, file_path, "Pedimentos import")
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error_path = common_storage.error_path_for_job(JOB_TYPE, job_id)
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fieldnames, has_header = detect_headers_or_data(
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file_path,
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common_normalize.normalize_header,
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parse_pedimento_col_a,
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)
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try:
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total_rows = common_csv_reader.count_csv_rows(file_path, has_header=has_header)
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except Exception as e:
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return {"status": "failed", "error": str(e)}
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try:
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tenant_id, company_id = common_meta.require_tenant_context(file_path)
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except ValueError as e:
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return {"status": "failed", "error": str(e)}
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meta = common_meta.load_meta(file_path) or {}
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actualizar = meta.get("actualizar", False)
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date_format_preference = meta.get("dateFormat") or meta.get("date_format")
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try:
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with CoreSessionLocal() as session:
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(
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valid_client_ids,
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valid_regimes,
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valid_pedimento_codes,
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valid_clave_regimen_tipo,
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valid_aduana_seccion,
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existing_pedimento_keys,
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valid_anexo22_claves,
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valid_patentes,
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short_name_to_id,
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) = load_pedimentos_fk_sets(session, tenant_id, company_id)
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except Exception as e:
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logger.error("Pedimentos import: failed to load FK sets: %s", e)
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return {"status": "failed", "error": "No se pudo cargar catálogos"}
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error_count = 0
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processed_rows = 0
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errors_detail: List[Dict[str, Any]] = []
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error_lines_list: List[int] = []
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try:
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with open(error_path, "w", encoding="utf-8") as f_err:
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for i, row in common_csv_reader.iter_csv_rows(file_path, fieldnames=fieldnames):
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if progress_callback and i % 500 == 0:
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progress_callback(i, total_rows, error_count)
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row_norm = _norm_row(row)
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err = validate_row_pedimento(
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row_norm,
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i,
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short_name_to_id,
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valid_regimes,
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valid_pedimento_codes,
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valid_clave_regimen_tipo,
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valid_aduana_seccion,
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existing_pedimento_keys,
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valid_anexo22_claves,
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valid_patentes,
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actualizar=actualizar,
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raw_row=row,
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date_format_preference=date_format_preference,
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)
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if err:
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error_count += 1
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error_lines_list.append(err["line"])
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f_err.write(json.dumps(err) + "\n")
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if len(errors_detail) < 500:
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errors_detail.append({
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"line": err["line"],
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"col": err.get("col", ""),
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"msg": err.get("msg", ""),
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})
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processed_rows += 1
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if error_lines_list:
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common_storage.store_error_lines(JOB_TYPE, job_id, error_lines_list)
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except Exception as e:
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logger.error("Pedimentos import scan failed: %s", e)
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return {"status": "failed", "error": str(e)}
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return common_responses.scan_result(job_id, processed_rows, error_count, errors_detail)
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@celery_app.task(bind=True)
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def scan_file(self, job_id: str, config: str = None):
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logger.info("Pedimentos import: starting scan for job %s", job_id)
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def on_progress(current: int, total: int, errors: int) -> None:
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self.update_state(state="PROGRESS", meta={"current": current, "total": total, "errors": errors})
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return _do_scan(job_id, progress_callback=on_progress)
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def _do_commit(job_id: str) -> Dict[str, Any]:
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file_path = common_storage.ensure_file_from_redis(JOB_TYPE, job_id, "Pedimentos import")
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if not file_path:
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alt_path = common_storage.file_path_for_job(JOB_TYPE, job_id)
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if not os.path.exists(alt_path):
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return {"status": "failed", "error": "Archivo no encontrado (expirado). Sube y confirma de nuevo."}
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file_path = alt_path
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common_storage.ensure_meta_from_redis(JOB_TYPE, job_id, file_path, "Pedimentos import")
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error_path = common_storage.error_path_for_job(JOB_TYPE, job_id)
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error_lines = common_storage.get_error_lines(JOB_TYPE, job_id, error_path)
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try:
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tenant_id, company_id = common_meta.require_tenant_context(file_path)
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except ValueError as e:
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return {"status": "failed", "error": str(e)}
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meta = common_meta.load_meta(file_path) or {}
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actualizar = meta.get("actualizar", False)
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date_format_preference = meta.get("dateFormat") or meta.get("date_format")
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try:
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with CoreSessionLocal() as session:
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(
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valid_client_ids,
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valid_regimes,
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valid_pedimento_codes,
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valid_clave_regimen_tipo,
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valid_aduana_seccion,
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existing_pedimento_keys,
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valid_anexo22_claves,
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valid_patentes,
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short_name_to_id,
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) = load_pedimentos_fk_sets(session, tenant_id, company_id)
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except Exception as e:
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logger.error("Pedimentos import: failed to load FK sets: %s", e)
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return {"status": "failed", "error": "No se pudo cargar catálogos"}
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from api.v1.modules.a76.pedmientos.dtos.pedimentos import (
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PedimentosCreate,
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PedimentosUpdate,
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)
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from api.v1.modules.a76.pedmientos.dtos.pedimento_dates import PedimentoDatesCreate
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from api.v1.modules.a76.pedmientos.services.pedimentos import PedimentosService
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from api.v1.modules.a76.pedmientos.models.pedimentos import Pedimentos
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inserted_count = 0
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updated_count = 0
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skipped_invalid = 0
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skipped_missing_fk = 0
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skipped_duplicate = 0
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skipped_details: List[Dict[str, Any]] = []
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meta_path = common_meta.get_meta_path(file_path)
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fieldnames_commit, _ = detect_headers_or_data(
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file_path,
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common_normalize.normalize_header,
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parse_pedimento_col_a,
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)
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def _key_from_row(r: Dict[str, Any]) -> Optional[str]:
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if is_clarion_layout(r):
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año = (r.get("AÑO") or "").strip()
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patente = (r.get("PATENTE") or "").strip()
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numero = (r.get("NUMERO") or "").strip()
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if año and patente and numero:
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adu = (r.get("ADUANA_SECCION_CRUCE") or "").strip()[:3]
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return pedimento_key_from_parsed(año[:2], adu, patente[:4], numero[:7])
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parsed = parse_pedimento_col_a((r.get("PEDIMENTO") or "").strip())
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if not parsed:
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return None
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y, lic, num = parsed
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adu = (r.get("ADUANA_SECCION_CRUCE") or "").strip()[:3]
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return pedimento_key_from_parsed(y, adu, lic, num)
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y = (r.get("AÑO") or "").strip()[:2]
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adu = (r.get("ADUANA_SECCION_CRUCE") or r.get("ADUANA") or "").strip()[:3]
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lic = (r.get("PATENTE") or "").strip()[:4]
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num = (r.get("NUMERO") or "").strip()[:7]
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return pedimento_key_from_parsed(y, adu, lic, num)
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try:
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with CoreSessionLocal() as session:
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for i, row in common_csv_reader.iter_csv_rows(file_path, fieldnames=fieldnames_commit):
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if i in error_lines:
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continue
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row_norm = _norm_row(row)
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err = validate_row_pedimento(
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row_norm,
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i,
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short_name_to_id,
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valid_regimes,
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valid_pedimento_codes,
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valid_clave_regimen_tipo,
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valid_aduana_seccion,
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existing_pedimento_keys,
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valid_anexo22_claves,
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valid_patentes,
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actualizar=actualizar,
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raw_row=row,
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date_format_preference=date_format_preference,
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)
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if err:
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skipped_invalid += 1
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skipped_details.append({
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"line": i,
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"reason": f"{err.get('col', '')}: {err.get('msg', '')}",
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})
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continue
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key = _key_from_row(row_norm)
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try:
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# Si el pedimento ya existe: actualizar (merge) o reemplazar (crear). Si no existe: crear.
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if key and key in existing_pedimento_keys:
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existing = (
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session.query(Pedimentos)
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.filter(
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Pedimentos.tenant_id == tenant_id,
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Pedimentos.company_id == company_id,
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Pedimentos.year == key.split("|")[0],
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Pedimentos.customs_office == key.split("|")[1],
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Pedimentos.license == key.split("|")[2],
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Pedimentos.pedimento_number == key.split("|")[3],
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)
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.first()
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)
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if existing:
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if actualizar:
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# Modo actualizar: merge con existente
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existing_dict = {
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"year": existing.year,
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"customs_office": existing.customs_office,
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"license": existing.license,
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"pedimento_number": existing.pedimento_number,
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"client_id": existing.client_id,
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"pedimento_code": existing.pedimento_code,
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"regime": existing.regime,
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"operation_type": existing.operation_type,
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"pedimento_type": existing.pedimento_type,
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"status": existing.status,
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"usd_value": existing.usd_value,
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"paid_price": existing.paid_price,
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"gross_weight": existing.gross_weight,
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"exchange_rate": existing.exchange_rate,
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"observations": existing.observations,
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}
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if existing.pedimento_dates:
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existing_dict["pedimento_dates"] = {
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"entry_date": existing.pedimento_dates.entry_date,
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"end_date": existing.pedimento_dates.end_date,
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"start_date": getattr(
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existing.pedimento_dates, "start_date", existing.pedimento_dates.entry_date
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),
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"payment_date": getattr(
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existing.pedimento_dates, "payment_date", existing.pedimento_dates.entry_date
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),
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}
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data = row_to_pedimento_data_merge_existing(
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row_norm,
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existing_dict,
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short_name_to_id,
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date_format_preference,
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)
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else:
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# Modo crear: reemplazar con datos del CSV
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data = row_to_pedimento_data(
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row_norm, short_name_to_id, date_format_preference
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)
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if "pedimento_dates" not in data or data.get("pedimento_dates") is None:
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data["pedimento_dates"] = PedimentoDatesCreate(
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entry_date=datetime.now(),
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end_date=datetime.now(),
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)
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update_data = {k: v for k, v in data.items() if k != "pedimento_dates"}
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if data.get("pedimento_dates"):
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update_data["pedimento_dates"] = PedimentoDatesCreate(
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**data["pedimento_dates"]
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)
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update_schema = PedimentosUpdate(**update_data)
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PedimentosService.update(
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session, existing.id, tenant_id, update_schema, company_id
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)
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updated_count += 1
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else:
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skipped_invalid += 1
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skipped_details.append({"line": i, "reason": "Pedimento no encontrado"})
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else:
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# No existe: crear (ambos modos)
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data = row_to_pedimento_data(
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row_norm, short_name_to_id, date_format_preference
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)
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if "pedimento_dates" not in data or data.get("pedimento_dates") is None:
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data["pedimento_dates"] = PedimentoDatesCreate(
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entry_date=datetime.now(),
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end_date=datetime.now(),
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)
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create_data = PedimentosCreate(**data)
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PedimentosService.create(session, create_data, tenant_id, company_id)
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inserted_count += 1
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except ValueError as ve:
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if "Ya existe" in str(ve) or "duplicate" in str(ve).lower():
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skipped_duplicate += 1
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skipped_details.append({"line": i, "reason": str(ve)})
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else:
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skipped_invalid += 1
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skipped_details.append({"line": i, "reason": str(ve)})
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except Exception as e:
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logger.warning("Pedimentos import line %s: %s", i, e)
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skipped_invalid += 1
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skipped_details.append({"line": i, "reason": str(e)})
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except Exception as e:
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logger.exception("Pedimentos import task failed")
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return {"status": "failed", "error": str(e)}
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common_storage.cleanup_import_job(
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JOB_TYPE, job_id,
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file_path=file_path,
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error_path=error_path,
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meta_path=meta_path,
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)
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total_skipped = skipped_invalid + skipped_missing_fk + skipped_duplicate
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if inserted_count == 0 and updated_count == 0 and total_skipped > 0:
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reasons = "; ".join(
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f"Línea {d.get('line', '?')}: {d.get('reason', '')}" for d in skipped_details[:5]
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)
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if len(skipped_details) > 5:
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reasons += f" (+{len(skipped_details) - 5} más)"
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return {
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"status": "warning",
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"inserted": 0,
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"updated": 0,
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"skipped_invalid": skipped_invalid,
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"skipped_missing_fk": skipped_missing_fk,
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"skipped_duplicate": skipped_duplicate,
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"skipped_details": skipped_details,
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"message": f"No se insertaron registros. {total_skipped} rechazados. Motivos: {reasons}",
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}
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if inserted_count == 0 and updated_count == 0:
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return {
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"status": "failed",
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"error": "No hay registros válidos en el archivo CSV",
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"inserted": 0,
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"updated": 0,
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"skipped_invalid": skipped_invalid,
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"skipped_missing_fk": skipped_missing_fk,
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"skipped_duplicate": skipped_duplicate,
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"skipped_details": skipped_details,
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}
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return {
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"status": "finished",
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"inserted": inserted_count,
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"updated": updated_count,
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"skipped_invalid": skipped_invalid,
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"skipped_missing_fk": skipped_missing_fk,
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"skipped_duplicate": skipped_duplicate,
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"skipped_details": skipped_details,
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}
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@celery_app.task(bind=True)
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def insert_valid_rows(self, job_id: str):
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logger.info("Pedimentos import: starting commit for job %s", job_id)
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return _do_commit(job_id)
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