536 lines
19 KiB
Python
536 lines
19 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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Upsert por trailer_number usando TrailerService.
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"""
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import os
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import base64
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import csv
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import json
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import logging
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import re
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import unicodedata
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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 core.paths import layout_path
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from .template_config import row_from_template
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logger = logging.getLogger(__name__)
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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 = 3600
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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 _worker_upload_dir() -> str:
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return layout_path("imports", "temp")
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def _ensure_worker_has_file_from_redis(job_id: str) -> Optional[str]:
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r = _get_redis()
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data = r.get(f"{TRL_IMPORT_FILE_PREFIX}{job_id}")
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if not data:
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return None
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try:
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raw = base64.b64decode(data)
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except Exception as e:
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logger.warning(f"Trailers import: failed to decode file from Redis: {e}")
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return None
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upload_dir = _worker_upload_dir()
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os.makedirs(upload_dir, exist_ok=True)
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file_path = os.path.join(upload_dir, f"trl_{job_id}.csv")
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with open(file_path, "wb") as f:
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f.write(raw)
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return file_path
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def _ensure_worker_has_meta_from_redis(job_id: str, file_path: str) -> bool:
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r = _get_redis()
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data = r.get(f"{TRL_IMPORT_META_PREFIX}{job_id}")
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if not data:
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return False
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try:
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meta = json.loads(data.decode("utf-8"))
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except Exception as e:
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logger.warning(f"Trailers import: failed to decode meta from Redis: {e}")
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return False
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meta_path = file_path.replace(".csv", ".meta.json")
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with open(meta_path, "w", encoding="utf-8") as f:
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json.dump(meta, f)
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return True
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def _delete_import_from_redis(job_id: str) -> None:
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try:
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r = _get_redis()
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r.delete(
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f"{TRL_IMPORT_FILE_PREFIX}{job_id}",
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f"{TRL_IMPORT_META_PREFIX}{job_id}",
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f"{TRL_IMPORT_ERROR_LINES_PREFIX}{job_id}",
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f"{TRL_IMPORT_STATUS_PREFIX}{job_id}",
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)
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except Exception as e:
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logger.warning(f"Trailers import: failed to delete Redis keys: {e}")
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def normalize_header(name: Optional[str]) -> str:
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if not name:
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return ""
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name = unicodedata.normalize("NFKD", str(name)).upper()
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name = "".join(ch for ch in name if not unicodedata.combining(ch))
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name = re.sub(r"[^A-Z0-9]+", " ", name)
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return re.sub(r"\s+", " ", name).strip()
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# Max lengths from Trailer model (a76.trailer)
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_MAX = {
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"trailer_number": 20,
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"ace_trailer_number": 10,
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"trailer_type_key": 2,
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"seal": 15,
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"entity_code": 1,
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"plate_number": 17,
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"state": 30,
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"country": 3,
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"container_key": 3,
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}
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def _dedupe_headers(headers: List[str]) -> List[str]:
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counts: Dict[str, int] = {}
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unique: List[str] = []
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for header in headers:
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name = str(header or "").strip() or "COL"
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count = counts.get(name, 0) + 1
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counts[name] = count
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if count == 1:
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unique.append(name)
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else:
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unique.append(f"{name} {count}")
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return unique
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def _validate_row_trailer(row: Dict[str, Any], line_num: int) -> Optional[Dict[str, Any]]:
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"""Valida una fila para Trailer. Retorna error dict o None."""
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trailer_number = (row.get("NUMERO TRAILER") or "").strip()
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if not trailer_number:
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return {"line": line_num, "col": "NUMERO TRAILER", "msg": "Requerido"}
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if len(trailer_number) > _MAX["trailer_number"]:
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return {"line": line_num, "col": "NUMERO TRAILER", "msg": f"Máximo {_MAX['trailer_number']} caracteres"}
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for col, max_len in [
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("CLAVE ACE", _MAX["ace_trailer_number"]),
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("TIPO TRAILER", _MAX["trailer_type_key"]),
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("PRECINTO", _MAX["seal"]),
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("CODIGO ENTIDAD", _MAX["entity_code"]),
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("PLACAS", _MAX["plate_number"]),
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("ESTADO", _MAX["state"]),
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("PAIS", _MAX["country"]),
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("CLAVE CONTENEDOR", _MAX["container_key"]),
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]:
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val = (row.get(col) or "").strip()
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if val and len(val) > max_len:
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return {"line": line_num, "col": col, "msg": f"Máximo {max_len} caracteres"}
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return None
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def _str_or_none(val: Any, max_len: Optional[int] = None) -> Optional[str]:
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if val is None:
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return None
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s = str(val).strip()
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if not s:
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return None
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if max_len and len(s) > max_len:
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return s[:max_len]
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return s
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def _row_to_trailer_dto(row: Dict[str, Any], tenant_id: int, company_id: int) -> Dict[str, Any]:
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"""Build dict for TrailerCreateDTO / TrailerUpdateDTO from normalized row."""
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trailer_number = _str_or_none(row.get("NUMERO TRAILER"), _MAX["trailer_number"])
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if not trailer_number:
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return {}
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return {
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"trailer_number": trailer_number,
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"ace_trailer_number": _str_or_none(row.get("CLAVE ACE"), _MAX["ace_trailer_number"]),
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"trailer_type_key": _str_or_none(row.get("TIPO TRAILER"), _MAX["trailer_type_key"]),
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"seal": _str_or_none(row.get("PRECINTO"), _MAX["seal"]),
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"entity_code": _str_or_none(row.get("CODIGO ENTIDAD"), _MAX["entity_code"]),
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"plate_number": _str_or_none(row.get("PLACAS"), _MAX["plate_number"]),
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"state": _str_or_none(row.get("ESTADO"), _MAX["state"]),
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"country": _str_or_none(row.get("PAIS"), _MAX["country"]),
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"container_key": _str_or_none(row.get("CLAVE CONTENEDOR"), _MAX["container_key"]),
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}
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def _do_scan(job_id: str, progress_callback: Optional[Any] = None) -> Dict[str, Any]:
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file_path = _ensure_worker_has_file_from_redis(job_id)
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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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_ensure_worker_has_meta_from_redis(job_id, file_path)
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error_dir = layout_path("imports", "errors")
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os.makedirs(error_dir, exist_ok=True)
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error_path = os.path.join(error_dir, f"trl_{job_id}.jsonl")
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total_rows = 0
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try:
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with open(file_path, "r", encoding="utf-8-sig") as f:
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total_rows = sum(1 for _ in f) - 1
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except Exception as e:
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return {"status": "failed", "error": str(e)}
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meta_path = file_path.replace(".csv", ".meta.json")
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meta = {}
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if os.path.exists(meta_path):
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try:
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with open(meta_path, "r", encoding="utf-8") as f:
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meta = json.load(f) or {}
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except Exception as e:
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logger.warning(f"Trailers import: failed to read meta: {e}")
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tenant_id = meta.get("tenant_id")
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company_id = meta.get("company_id")
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if not tenant_id or not company_id:
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return {"status": "failed", "error": "Falta contexto (tenant/company)"}
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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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try:
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with open(file_path, "r", encoding="utf-8-sig") as f_in, open(
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error_path, "w", encoding="utf-8"
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) as f_err:
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sample = f_in.read(2048)
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f_in.seek(0)
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try:
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dialect = csv.Sniffer().sniff(sample, delimiters=",;\t")
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except Exception:
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dialect = "excel"
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reader = csv.reader(f_in, dialect=dialect)
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try:
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headers = next(reader)
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except StopIteration:
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headers = []
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headers = _dedupe_headers(headers)
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dict_reader = csv.DictReader(f_in, fieldnames=headers, dialect=dialect)
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for i, row in enumerate(dict_reader, start=1):
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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 = row_from_template(row, normalize_header)
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err = _validate_row_trailer(row_norm, i)
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if err:
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error_count += 1
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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"], "col": err.get("col", ""), "msg": err.get("msg", "")}
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)
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processed_rows += 1
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except Exception as e:
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logger.error(f"Trailers import scan failed: {e}")
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return {"status": "failed", "error": str(e)}
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error_lines_list = []
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try:
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if os.path.exists(error_path):
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with open(error_path, "r", encoding="utf-8") as f:
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for line in f:
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try:
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err = json.loads(line)
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if "line" in err:
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error_lines_list.append(err["line"])
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except Exception:
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pass
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if error_lines_list:
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r = _get_redis()
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r.set(
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f"{TRL_IMPORT_ERROR_LINES_PREFIX}{job_id}",
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json.dumps(error_lines_list).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(f"Trailers import: failed to store error lines: {e}")
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result = {
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"status": "waiting_confirmation",
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"job_id": job_id,
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"total_rows": processed_rows,
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"error_count": error_count,
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"valid_rows": processed_rows - error_count,
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"errors": errors_detail,
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}
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return result
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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(f"Trailers import: failed to store scan status in Redis: {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(f"Trailers import: starting scan for job {job_id}")
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def on_progress(current: int, total: int, errors: int) -> None:
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self.update_state(
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state="PROGRESS",
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meta={"current": current, "total": total, "errors": errors},
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)
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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(f"Trailers import: failed to store scan status in Redis: {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 = _ensure_worker_has_file_from_redis(job_id)
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if not file_path:
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alt_path = os.path.join(_worker_upload_dir(), f"trl_{job_id}.csv")
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if not os.path.exists(alt_path):
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return {
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"status": "failed",
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"error": "Archivo no encontrado (expirado). Sube y confirma de nuevo.",
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}
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file_path = alt_path
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else:
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_ensure_worker_has_meta_from_redis(job_id, file_path)
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error_dir = layout_path("imports", "errors")
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error_path = os.path.join(error_dir, f"trl_{job_id}.jsonl")
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error_lines = set()
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try:
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r = _get_redis()
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raw = r.get(f"{TRL_IMPORT_ERROR_LINES_PREFIX}{job_id}")
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if raw:
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error_lines = set(json.loads(raw.decode("utf-8")))
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except Exception as e:
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logger.debug(f"Trailers import: could not load error lines from Redis: {e}")
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if not error_lines and os.path.exists(error_path):
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with open(error_path, "r", encoding="utf-8") as f:
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for line in f:
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try:
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err = json.loads(line)
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error_lines.add(err["line"])
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except Exception:
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pass
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meta_path = file_path.replace(".csv", ".meta.json")
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tenant_id = None
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company_id = None
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meta = {}
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if os.path.exists(meta_path):
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try:
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with open(meta_path, "r", encoding="utf-8") as f:
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meta = json.load(f) or {}
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tenant_id = meta.get("tenant_id")
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company_id = meta.get("company_id")
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except Exception:
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pass
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if not tenant_id or not company_id:
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return {"status": "failed", "error": "Falta contexto (tenant/company)"}
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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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try:
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with CoreSessionLocal() as session:
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with open(file_path, "r", encoding="utf-8-sig") as f:
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sample = f.read(2048)
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f.seek(0)
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try:
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dialect = csv.Sniffer().sniff(sample, delimiters=",;\t")
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except Exception:
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dialect = "excel"
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reader = csv.reader(f, dialect=dialect)
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try:
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headers = next(reader)
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except StopIteration:
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headers = []
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headers = _dedupe_headers(headers)
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dict_reader = csv.DictReader(f, fieldnames=headers, dialect=dialect)
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for i, row in enumerate(dict_reader, start=1):
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if i in error_lines:
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continue
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row_norm = row_from_template(row, normalize_header)
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err = _validate_row_trailer(row_norm, i)
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if err:
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skipped_invalid += 1
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skipped_details.append(
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{
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"line": i,
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"trailer_number": (row_norm.get("NUMERO TRAILER") or "").strip()[:20] or "-",
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"invoice": (row_norm.get("NUMERO TRAILER") or "").strip()[:20] or "-",
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"reason": f"{err.get('col', '')}: {err.get('msg', '')}",
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}
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)
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continue
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data = _row_to_trailer_dto(row_norm, tenant_id, company_id)
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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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tn = data["trailer_number"]
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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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{
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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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}
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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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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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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, "trailer_number": tn, "invoice": tn, "reason": str(db_err)}
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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(f"Trailers import DB error: {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.error(f"Trailers import task failed: {e}")
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import traceback
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logger.error(traceback.format_exc())
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return {"status": "failed", "error": str(e)}
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try:
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if file_path and os.path.exists(file_path):
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os.remove(file_path)
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if os.path.exists(error_path):
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os.remove(error_path)
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if os.path.exists(meta_path):
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os.remove(meta_path)
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_delete_import_from_redis(job_id)
|
|
except Exception as cleanup_err:
|
|
logger.warning(f"Trailers import cleanup failed: {cleanup_err}")
|
|
|
|
total_ok = inserted_count + updated_count
|
|
if total_ok == 0 and (skipped_invalid + skipped_duplicate) > 0:
|
|
return {
|
|
"status": "warning",
|
|
"inserted": inserted_count,
|
|
"updated": updated_count,
|
|
"skipped_invalid": skipped_invalid,
|
|
"skipped_duplicate": skipped_duplicate,
|
|
"skipped_missing_fk": 0,
|
|
"skipped_details": skipped_details,
|
|
"message": f"No se insertaron registros. {skipped_invalid + skipped_duplicate} rechazados.",
|
|
}
|
|
if total_ok == 0:
|
|
return {
|
|
"status": "failed",
|
|
"error": "No hay registros válidos en el archivo CSV",
|
|
"inserted": 0,
|
|
"updated": 0,
|
|
"skipped_invalid": skipped_invalid,
|
|
"skipped_duplicate": skipped_duplicate,
|
|
"skipped_missing_fk": 0,
|
|
"skipped_details": skipped_details,
|
|
}
|
|
return {
|
|
"status": "finished",
|
|
"inserted": inserted_count,
|
|
"updated": updated_count,
|
|
"skipped_invalid": skipped_invalid,
|
|
"skipped_duplicate": skipped_duplicate,
|
|
"skipped_missing_fk": 0,
|
|
"skipped_details": skipped_details,
|
|
}
|
|
|
|
|
|
def run_commit_sync(job_id: str) -> Dict[str, Any]:
|
|
result = _do_commit(job_id)
|
|
try:
|
|
r = _get_redis()
|
|
r.set(
|
|
f"{TRL_IMPORT_STATUS_PREFIX}{job_id}",
|
|
json.dumps(result).encode("utf-8"),
|
|
ex=TRL_IMPORT_REDIS_TTL,
|
|
)
|
|
except Exception as e:
|
|
logger.warning(f"Trailers import: failed to store commit status in Redis: {e}")
|
|
return result
|
|
|
|
|
|
@celery_app.task(bind=True)
|
|
def insert_valid_rows(self, job_id: str):
|
|
logger.info(f"Trailers import: starting commit for job {job_id}")
|
|
result = _do_commit(job_id)
|
|
try:
|
|
r = _get_redis()
|
|
r.set(
|
|
f"{TRL_IMPORT_STATUS_PREFIX}{job_id}",
|
|
json.dumps(result).encode("utf-8"),
|
|
ex=TRL_IMPORT_REDIS_TTL,
|
|
)
|
|
except Exception as e:
|
|
logger.warning(f"Trailers import: failed to store commit status in Redis: {e}")
|
|
return result
|