Files
plantillas-proyectos/backend/api/v1/modules/a76/layouts_csv/pedmientos/tasks.py
2026-03-05 10:15:15 -07:00

415 lines
18 KiB
Python

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