410 lines
17 KiB
Python
410 lines
17 KiB
Python
"""
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Tareas Celery para importación CSV de Trailers y Cajas.
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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 con headers duplicados (dedupe).
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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 typing import Dict, Any, Optional, List, Set
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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 row_from_template
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from .validators import validate_row_trailer, validate_row_trailer_desfase
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from .common.mappers import row_to_trailer_data, row_to_trailer_data_for_update
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from .common.fk_loader import load_trailers_fk_sets
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logger = logging.getLogger(__name__)
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JOB_TYPE = "trl"
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# Para routes.py
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TRL_IMPORT_FILE_PREFIX = "trl_import_file:"
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TRL_IMPORT_META_PREFIX = "trl_import_meta:"
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TRL_IMPORT_ERROR_LINES_PREFIX = "trl_import_error_lines:"
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TRL_IMPORT_STATUS_PREFIX = "trl_import_status:"
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TRL_IMPORT_REDIS_TTL = common_storage.IMPORT_REDIS_TTL
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def _get_redis():
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import redis
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url = os.getenv("VALKEY_URL", os.getenv("REDIS_URL", "redis://valkey:6379/0"))
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return redis.Redis.from_url(url, decode_responses=False)
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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, "Trailers 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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common_storage.ensure_meta_from_redis(JOB_TYPE, job_id, file_path, "Trailers import")
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error_path = common_storage.error_path_for_job(JOB_TYPE, job_id)
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try:
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total_rows = common_csv_reader.count_csv_rows(file_path, has_header=True)
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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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existing_trailer_numbers: Set[str] = set()
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if actualizar:
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try:
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from api.v1.modules.a76.transportation.trailers.models import Trailer
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with CoreSessionLocal() as session:
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for t in (
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session.query(Trailer.trailer_number)
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.filter(
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Trailer.tenant_id == tenant_id,
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Trailer.company_id == company_id,
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)
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.all()
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):
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if t[0] and (t[0] or "").strip():
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existing_trailer_numbers.add((t[0] or "").strip())
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except Exception as e:
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logger.warning("Trailers import: could not load existing trailer_numbers for actualizar: %s", e)
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(
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valid_trailer_type_keys,
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valid_country_ame,
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state_descriptions_upper,
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state_country_set,
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state_ame_to_description,
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) = load_trailers_fk_sets(tenant_id, company_id)
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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_deduped_headers(file_path):
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if progress_callback:
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progress_callback(i, total_rows, error_count)
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row_norm = row_from_template(row, common_normalize.normalize_header)
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# Desfase: advertencia no bloqueante (se muestra en UI pero no se agrega a error_lines)
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warn = validate_row_trailer_desfase(row_norm, i)
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if warn and len(errors_detail) < 500:
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errors_detail.append({
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"line": warn.get("line", i),
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"col": warn.get("col", ""),
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"msg": warn.get("msg", ""),
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"solution": warn.get("solution", ""),
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"warning": bool(warn.get("warning", False)),
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})
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row_errors = validate_row_trailer(
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row_norm,
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i,
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actualizar=actualizar,
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existing_trailer_numbers=existing_trailer_numbers,
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valid_trailer_type_keys=valid_trailer_type_keys,
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valid_country_ame=valid_country_ame,
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state_descriptions_upper=state_descriptions_upper,
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state_country_set=state_country_set,
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state_ame_to_description=state_ame_to_description,
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)
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if row_errors:
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has_blocking_error = any(not e.get("warning", False) for e in row_errors)
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if has_blocking_error:
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error_count += 1
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error_lines_list.append(i)
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for e in row_errors:
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if not e.get("warning", False):
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f_err.write(json.dumps(e) + "\n")
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if len(errors_detail) < 500:
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for e in row_errors:
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if len(errors_detail) >= 500:
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break
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errors_detail.append({
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"line": e.get("line", i),
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"col": e.get("col", ""),
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"msg": e.get("msg", ""),
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"solution": e.get("solution", ""),
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"warning": bool(e.get("warning", False)),
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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("Trailers 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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def run_scan_sync(job_id: str) -> Dict[str, Any]:
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result = _do_scan(job_id, progress_callback=None)
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try:
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r = _get_redis()
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r.set(
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f"{TRL_IMPORT_STATUS_PREFIX}{job_id}",
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json.dumps(result).encode("utf-8"),
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ex=TRL_IMPORT_REDIS_TTL,
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)
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except Exception as e:
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logger.warning("Trailers import: failed to store scan status in Redis: %s", e)
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return result
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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("Trailers 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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result = _do_scan(job_id, progress_callback=on_progress)
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try:
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r = _get_redis()
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r.set(
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f"{TRL_IMPORT_STATUS_PREFIX}{job_id}",
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json.dumps(result).encode("utf-8"),
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ex=TRL_IMPORT_REDIS_TTL,
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)
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except Exception as e:
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logger.warning("Trailers import: failed to store scan status in Redis: %s", e)
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return result
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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, "Trailers 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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else:
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common_storage.ensure_meta_from_redis(JOB_TYPE, job_id, file_path, "Trailers 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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existing_trailer_numbers: Set[str] = set()
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if actualizar:
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try:
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from api.v1.modules.a76.transportation.trailers.models import Trailer
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with CoreSessionLocal() as session:
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for t in (
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session.query(Trailer.trailer_number)
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.filter(
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Trailer.tenant_id == tenant_id,
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Trailer.company_id == company_id,
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)
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.all()
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):
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if t[0] and (t[0] or "").strip():
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existing_trailer_numbers.add((t[0] or "").strip())
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except Exception as e:
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logger.warning("Trailers import: could not load existing trailer_numbers for actualizar: %s", e)
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(
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valid_trailer_type_keys,
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valid_country_ame,
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state_descriptions_upper,
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state_country_set,
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state_ame_to_description,
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) = load_trailers_fk_sets(tenant_id, company_id)
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from api.v1.modules.a76.transportation.trailers.services import TrailerService
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from api.v1.modules.a76.transportation.trailers.dto import TrailerCreateDTO, TrailerUpdateDTO
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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_duplicate = 0
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skipped_details: List[Dict[str, Any]] = []
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seen_keys_in_file: Dict[str, int] = {}
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meta_path = common_meta.get_meta_path(file_path)
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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_deduped_headers(file_path):
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if i in error_lines:
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continue
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row_norm = row_from_template(row, common_normalize.normalize_header)
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row_errors = validate_row_trailer(
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row_norm,
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i,
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actualizar=actualizar,
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existing_trailer_numbers=existing_trailer_numbers,
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valid_trailer_type_keys=valid_trailer_type_keys,
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valid_country_ame=valid_country_ame,
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state_descriptions_upper=state_descriptions_upper,
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state_country_set=state_country_set,
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state_ame_to_description=state_ame_to_description,
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)
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if row_errors and any(not e.get("warning", False) for e in row_errors):
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skipped_invalid += 1
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tn = (row_norm.get("NUMERO TRAILER") or row_norm.get("CLAVE TRAILER") or "").strip()[:20] or "-"
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blocking_errors = [e for e in row_errors if not e.get("warning", False)]
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for blocking in blocking_errors:
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skipped_details.append({
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"line": i,
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"trailer_number": tn,
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"invoice": tn,
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"reason": f"{blocking.get('col', '')}: {blocking.get('msg', '')}",
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"solution": blocking.get("solution", ""),
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})
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continue
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tn = (row_norm.get("NUMERO TRAILER") or row_norm.get("CLAVE TRAILER") or "").strip()[:20] or ""
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if not tn:
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skipped_invalid += 1
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continue
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if tn in seen_keys_in_file:
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skipped_duplicate += 1
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skipped_details.append({
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"line": i,
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"trailer_number": tn,
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"invoice": tn,
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"reason": "Clave duplicada en el archivo (se usa la primera)",
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"solution": "El sistema conserva la primera ocurrencia; no dupliques el NUMERO TRAILER (CLAVE TRAILER) en el archivo.",
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})
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continue
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seen_keys_in_file[tn] = i
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existing = TrailerService.get_by_id(session, tn, tenant_id, company_id)
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try:
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if existing:
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if actualizar:
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data = row_to_trailer_data_for_update(row_norm, existing)
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else:
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data = row_to_trailer_data(row_norm)
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if not data or not data.get("trailer_number"):
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skipped_invalid += 1
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continue
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update_data = TrailerUpdateDTO(**{k: v for k, v in data.items() if k != "trailer_number"})
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TrailerService.update(session, tn, tenant_id, update_data, company_id)
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updated_count += 1
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else:
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data = row_to_trailer_data(row_norm)
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if not data or not data.get("trailer_number"):
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skipped_invalid += 1
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continue
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create_data = TrailerCreateDTO(**data)
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TrailerService.create(session, create_data, tenant_id, company_id)
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inserted_count += 1
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except Exception as db_err:
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session.rollback()
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skipped_invalid += 1
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skipped_details.append({
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"line": i,
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"trailer_number": tn,
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"invoice": tn,
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"reason": str(db_err),
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"solution": "Revisar el CSV para el NUMERO TRAILER indicado y corregir los datos/catálogos para resolver el error.",
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})
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continue
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try:
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session.commit()
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except Exception as db_err:
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session.rollback()
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logger.error("Trailers import DB error: %s", db_err)
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return {"status": "failed", "error": str(db_err)}
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except Exception as e:
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logger.exception("Trailers 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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try:
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r = _get_redis()
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r.delete(f"{TRL_IMPORT_STATUS_PREFIX}{job_id}")
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except Exception as e:
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logger.warning("Trailers import: failed to delete status key: %s", e)
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total_ok = inserted_count + updated_count
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if total_ok == 0 and (skipped_invalid + skipped_duplicate) > 0:
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return {
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"status": "warning",
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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_duplicate": skipped_duplicate,
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"skipped_missing_fk": 0,
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"skipped_details": skipped_details,
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"message": f"No se insertaron registros. {skipped_invalid + skipped_duplicate} rechazados.",
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}
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if total_ok == 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_duplicate": skipped_duplicate,
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"skipped_missing_fk": 0,
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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_duplicate": skipped_duplicate,
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"skipped_missing_fk": 0,
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"skipped_details": skipped_details,
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}
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def run_commit_sync(job_id: str) -> Dict[str, Any]:
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result = _do_commit(job_id)
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try:
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r = _get_redis()
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r.set(
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f"{TRL_IMPORT_STATUS_PREFIX}{job_id}",
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json.dumps(result).encode("utf-8"),
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ex=TRL_IMPORT_REDIS_TTL,
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)
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except Exception as e:
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logger.warning("Trailers import: failed to store commit status in Redis: %s", e)
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return result
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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("Trailers import: starting commit for job %s", job_id)
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result = _do_commit(job_id)
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try:
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r = _get_redis()
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r.set(
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f"{TRL_IMPORT_STATUS_PREFIX}{job_id}",
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json.dumps(result).encode("utf-8"),
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ex=TRL_IMPORT_REDIS_TTL,
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)
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except Exception as e:
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logger.warning("Trailers import: failed to store commit status in Redis: %s", e)
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return result
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