feature/csv-trasportes

backend/api/v1/modules/a76/transportation/vehicles/imports/__init__.py

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+# CSV import for Vehicles / Transportes (upload → scan → status → commit).

backend/api/v1/modules/a76/transportation/vehicles/imports/routes.py

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+"""
+Rutas de importación CSV para Vehículos (Transportes).
+Flujo: upload → scan → status (polling) → commit.
+"""
+import base64
+import json
+import logging
+import os
+import threading
+from uuid import uuid4
+
+from fastapi import APIRouter, File, HTTPException, Query, UploadFile, Depends
+from sqlalchemy.orm import Session
+from typing import Dict, Any
+
+from core.celery_app import celery_app
+from core.database import get_core_db
+from core.security import get_current_user, validate_access_to_resource
+
+from .schemas import ImportJobResponse
+from .tasks import (
+    scan_file,
+    run_scan_sync,
+    run_commit_sync,
+    VEHL_IMPORT_FILE_PREFIX,
+    VEHL_IMPORT_META_PREFIX,
+    VEHL_IMPORT_STATUS_PREFIX,
+    VEHL_IMPORT_REDIS_TTL,
+)
+
+router = APIRouter()
+logger = logging.getLogger(__name__)
+
+
+def _get_redis():
+    import redis
+    url = os.getenv("VALKEY_URL", os.getenv("REDIS_URL", "redis://valkey:6379/0"))
+    return redis.Redis.from_url(url, decode_responses=False)
+
+
+@router.post("/upload", response_model=ImportJobResponse)
+async def upload_import_file(
+    file: UploadFile = File(...),
+    company_id: int = Query(..., description="Company ID"),
+    db: Session = Depends(get_core_db),
+    current_user: Dict[str, Any] = Depends(get_current_user),
+):
+    try:
+        tenant_id = validate_access_to_resource(db, company_id, current_user)
+    except Exception as e:
+        logger.error(f"Vehicles import: access validation failed: {e}")
+        raise HTTPException(status_code=403, detail="Invalid company access")
+
+    if not file.filename or not file.filename.lower().endswith(".csv"):
+        raise HTTPException(status_code=400, detail="Solo se permiten archivos .csv")
+
+    job_id = str(uuid4())
+    contents = await file.read()
+
+    meta_data = {
+        "tenant_id": tenant_id,
+        "company_id": company_id,
+        "user_id": current_user.get("id"),
+        "template_id": "vehicles",
+    }
+
+    try:
+        r = _get_redis()
+        r.set(
+            f"{VEHL_IMPORT_FILE_PREFIX}{job_id}",
+            base64.b64encode(contents),
+            ex=VEHL_IMPORT_REDIS_TTL,
+        )
+        r.set(
+            f"{VEHL_IMPORT_META_PREFIX}{job_id}",
+            json.dumps(meta_data).encode("utf-8"),
+            ex=VEHL_IMPORT_REDIS_TTL,
+        )
+    except Exception as e:
+        logger.error(f"Vehicles import: Redis store error: {e}")
+        raise HTTPException(status_code=500, detail="No se pudo encolar el archivo.")
+
+    try:
+        upload_dir = os.path.join(os.getcwd(), "uploads", "temp")
+        os.makedirs(upload_dir, exist_ok=True)
+        with open(os.path.join(upload_dir, f"veh_{job_id}.csv"), "wb") as f:
+            f.write(contents)
+        with open(os.path.join(upload_dir, f"veh_{job_id}.meta.json"), "w") as f:
+            json.dump(meta_data, f)
+    except Exception as e:
+        logger.warning(f"Vehicles import: local file save failed: {e}")
+
+    scan_file.apply_async(args=[job_id], task_id=job_id)
+    # Fallback sin worker: ejecutar scan en un hilo y guardar resultado en Redis
+    def run_scan_background():
+        try:
+            run_scan_sync(job_id)
+        except Exception as e:
+            logger.exception(f"Vehicles import: background scan failed: {e}")
+
+    threading.Thread(target=run_scan_background, daemon=True).start()
+
+    return ImportJobResponse(
+        job_id=job_id,
+        status="queued",
+        message="Archivo subido. Escaneo iniciado.",
+    )
+
+
+@router.get("/{job_id}/status")
+async def get_import_status(job_id: str):
+    # Si el resultado del scan está en Redis (worker o hilo de fallback), usarlo
+    try:
+        r = _get_redis()
+        raw = r.get(f"{VEHL_IMPORT_STATUS_PREFIX}{job_id}")
+        if raw:
+            data = json.loads(raw.decode("utf-8"))
+            return data
+    except Exception as e:
+        logger.debug(f"Vehicles import: could not read status from Redis: {e}")
+
+    task_result = celery_app.AsyncResult(job_id)
+
+    if task_result.state == "PENDING":
+        return {"status": "processing", "progress": 0}
+    if task_result.state == "PROGRESS":
+        info = (task_result.info or {})
+        return {
+            "status": "processing",
+            "progress": info.get("current", 0),
+            "total": info.get("total", 0),
+        }
+    if task_result.state == "SUCCESS":
+        result = task_result.result
+        if isinstance(result, dict) and "status" in result:
+            return result
+        return {"status": "finished", "result": result}
+
+    result = getattr(task_result, "result", None)
+    if isinstance(result, dict) and result.get("status") in ("finished", "warning"):
+        return result
+
+    logger.warning("Vehicles import task %s failed: state=%s", job_id, task_result.state)
+    err_msg = None
+    tb = getattr(task_result, "traceback", None)
+    if tb and isinstance(tb, str):
+        lines = [l.strip() for l in tb.strip().split("\n") if l.strip()]
+        if lines:
+            err_msg = lines[-1]
+    if not err_msg:
+        try:
+            exc = task_result.get(propagate=False)
+            if exc is not None:
+                err_msg = str(exc)
+        except Exception:
+            pass
+    if not err_msg and result is not None:
+        if not isinstance(result, dict):
+            err_msg = str(result)
+        elif result.get("error") or result.get("message"):
+            err_msg = result.get("error") or result.get("message")
+    return {"status": "failed", "error": err_msg or "Task failed"}
+
+
+@router.post("/{job_id}/commit")
+async def commit_import_job(job_id: str):
+    # Escribir "processing" en Redis para que el polling muestre estado hasta que termine el commit
+    try:
+        r = _get_redis()
+        r.set(
+            f"{VEHL_IMPORT_STATUS_PREFIX}{job_id}",
+            json.dumps({"status": "processing", "message": "Insertando..."}).encode("utf-8"),
+            ex=VEHL_IMPORT_REDIS_TTL,
+        )
+    except Exception as e:
+        logger.debug(f"Vehicles import: could not write processing status: {e}")
+
+    # Ejecutar commit en hilo (mismo fallback que el scan: no depende del worker de Celery)
+    def run_commit_background():
+        try:
+            run_commit_sync(job_id)
+        except Exception as e:
+            logger.exception(f"Vehicles import: background commit failed: {e}")
+
+    threading.Thread(target=run_commit_background, daemon=True).start()
+
+    # Mismo job_id para que el front siga haciendo polling y reciba el resultado de Redis
+    return {
+        "status": "committing",
+        "message": "Inserción iniciada.",
+        "commit_job_id": job_id,
+    }

backend/api/v1/modules/a76/transportation/vehicles/imports/schemas.py

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+from pydantic import BaseModel
+from typing import Optional
+
+
+class ImportJobResponse(BaseModel):
+    job_id: str
+    status: str
+    message: str
+
+
+class ImportJobStatus(BaseModel):
+    status: str
+    job_id: str
+    total_rows: Optional[int] = 0
+    error_count: Optional[int] = 0
+    valid_rows: Optional[int] = 0
+    error: Optional[str] = None
+    inserted: Optional[int] = 0
+    skipped_invalid: Optional[int] = 0
+    skipped_missing_fk: Optional[int] = 0
+    skipped_duplicate: Optional[int] = 0
+    skipped_details: Optional[list] = None

backend/api/v1/modules/a76/transportation/vehicles/imports/tasks.py

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+"""
+Tareas Celery para importación CSV de Vehículos (Transportes).
+Flujo: scan_file (validación) → insert_valid_rows (commit).
+Respeta la lógica manual: vehicle_key requerido, resto opcional; upsert por vehicle_key.
+"""
+import os
+import base64
+import csv
+import json
+import logging
+import re
+import unicodedata
+from decimal import Decimal
+from typing import Dict, Any, Optional, List
+
+from core.celery_app import celery_app
+from core.database import CoreSessionLocal
+
+from .template_config import row_from_template
+
+logger = logging.getLogger(__name__)
+
+VEHL_IMPORT_FILE_PREFIX = "veh_import_file:"
+VEHL_IMPORT_META_PREFIX = "veh_import_meta:"
+VEHL_IMPORT_ERROR_LINES_PREFIX = "veh_import_error_lines:"
+VEHL_IMPORT_STATUS_PREFIX = "veh_import_status:"
+VEHL_IMPORT_REDIS_TTL = 3600
+
+
+def _get_redis():
+    import redis
+    url = os.getenv("VALKEY_URL", os.getenv("REDIS_URL", "redis://valkey:6379/0"))
+    return redis.Redis.from_url(url, decode_responses=False)
+
+
+def _worker_upload_dir() -> str:
+    return os.path.join(os.getcwd(), "uploads", "temp")
+
+
+def _ensure_worker_has_file_from_redis(job_id: str) -> Optional[str]:
+    r = _get_redis()
+    data = r.get(f"{VEHL_IMPORT_FILE_PREFIX}{job_id}")
+    if not data:
+        return None
+    try:
+        raw = base64.b64decode(data)
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to decode file from Redis: {e}")
+        return None
+    upload_dir = _worker_upload_dir()
+    os.makedirs(upload_dir, exist_ok=True)
+    file_path = os.path.join(upload_dir, f"veh_{job_id}.csv")
+    with open(file_path, "wb") as f:
+        f.write(raw)
+    return file_path
+
+
+def _ensure_worker_has_meta_from_redis(job_id: str, file_path: str) -> bool:
+    r = _get_redis()
+    data = r.get(f"{VEHL_IMPORT_META_PREFIX}{job_id}")
+    if not data:
+        return False
+    try:
+        meta = json.loads(data.decode("utf-8"))
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to decode meta from Redis: {e}")
+        return False
+    meta_path = file_path.replace(".csv", ".meta.json")
+    with open(meta_path, "w", encoding="utf-8") as f:
+        json.dump(meta, f)
+    return True
+
+
+def _delete_import_from_redis(job_id: str) -> None:
+    try:
+        r = _get_redis()
+        r.delete(
+            f"{VEHL_IMPORT_FILE_PREFIX}{job_id}",
+            f"{VEHL_IMPORT_META_PREFIX}{job_id}",
+            f"{VEHL_IMPORT_ERROR_LINES_PREFIX}{job_id}",
+            f"{VEHL_IMPORT_STATUS_PREFIX}{job_id}",
+        )
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to delete Redis keys: {e}")
+
+
+def normalize_header(name: Optional[str]) -> str:
+    if not name:
+        return ""
+    name = unicodedata.normalize("NFKD", str(name)).upper()
+    name = "".join(ch for ch in name if not unicodedata.combining(ch))
+    name = re.sub(r"[^A-Z0-9]+", " ", name)
+    return re.sub(r"\s+", " ", name).strip()
+
+
+# Max lengths from Vehicle model (a76.vehicle)
+_MAX = {
+    "vehicle_key": 14,
+    "ace_vehicle_key": 10,
+    "transporter_key": 23,
+    "transport_identifier": 30,
+    "transport_type": 2,
+    "entity_code": 1,
+    "transponder_number": 16,
+    "dot_number": 8,
+    "plate_number": 17,
+    "city": 30,
+    "state": 30,
+    "country": 3,
+    "seal": 49,
+    "insurance_company_name": 30,
+    "insurance_number": 20,
+    "series": 30,
+}
+
+
+def _parse_decimal(val: Any) -> Optional[Decimal]:
+    if val is None or (isinstance(val, str) and not val.strip()):
+        return None
+    try:
+        s = str(val).strip().replace(",", "")
+        return Decimal(s)
+    except Exception:
+        return None
+
+
+def _parse_insurance_date(val: Any) -> Optional[int]:
+    """Parse FECHA DE ASEGURADORA to integer yyyymmdd. Tolerates DD/MM/YYYY, YYYY-MM-DD, or YYYYMMDD."""
+    if val is None or (isinstance(val, str) and not val.strip()):
+        return None
+    s = str(val).strip()
+    if not s:
+        return None
+    # Already integer-like
+    if re.match(r"^\d{8}$", s):
+        try:
+            return int(s)
+        except ValueError:
+            pass
+    # Try DD/MM/YYYY or similar
+    for sep in ["/", "-", "."]:
+        if sep in s:
+            parts = s.split(sep)
+            if len(parts) == 3:
+                try:
+                    a, b, c = [p.strip() for p in parts]
+                    if len(c) == 4 and len(a) <= 2 and len(b) <= 2:  # c=year
+                        return int(c) * 10000 + int(b) * 100 + int(a)
+                    if len(a) == 4 and len(b) <= 2 and len(c) <= 2:  # a=year
+                        return int(a) * 10000 + int(b) * 100 + int(c)
+                except (ValueError, TypeError):
+                    pass
+            break
+    return None
+
+
+def _validate_row_vehicle(row: Dict[str, Any], line_num: int) -> Optional[Dict[str, Any]]:
+    """Valida una fila para Vehículo. Retorna error dict o None."""
+    clave = (row.get("CLAVE") or "").strip()
+    if not clave:
+        return {"line": line_num, "col": "CLAVE", "msg": "Requerido"}
+    if len(clave) > _MAX["vehicle_key"]:
+        return {"line": line_num, "col": "CLAVE", "msg": f"Máximo {_MAX['vehicle_key']} caracteres"}
+
+    # Optional fields: max lengths only
+    for col, max_len in [
+        ("CLAVE ACE", _MAX["ace_vehicle_key"]),
+        ("CLAVE TRANSPORTE", _MAX["transporter_key"]),
+        ("VIN", _MAX["series"]),
+        ("TIPO TRANSPORTE", _MAX["transport_type"]),
+        ("CODIGO DE ENTIDAD", _MAX["entity_code"]),
+        ("TRANSPONDEDOR", _MAX["transponder_number"]),
+        ("NUMERO DOT", _MAX["dot_number"]),
+        ("PLACAS", _MAX["plate_number"]),
+        ("CIUDAD", _MAX["city"]),
+        ("ESTADO", _MAX["state"]),
+        ("PAIS", _MAX["country"]),
+        ("PRECINTO", _MAX["seal"]),
+        ("EMPRESA ASEGURADORA", _MAX["insurance_company_name"]),
+        ("NUM. ASEGURADORA", _MAX["insurance_number"]),
+    ]:
+        val = (row.get(col) or "").strip()
+        if val and len(val) > max_len:
+            return {"line": line_num, "col": col, "msg": f"Máximo {max_len} caracteres"}
+
+    # MONTO ASEGURADO: must be numeric if present
+    monto = row.get("MONTO ASEGURADO") or row.get("MONTO")
+    if monto is not None and str(monto).strip():
+        if _parse_decimal(monto) is None:
+            return {"line": line_num, "col": "MONTO ASEGURADO", "msg": "Debe ser numérico"}
+
+    # FECHA DE ASEGURADORA: optional; if present try parse (do not fail row if invalid, set None)
+    # Plan says: "en caso de formato inválido, marcar error pero no rechazar toda la fila" -> we can either
+    # reject or set None. We reject invalid date to keep data quality.
+    fecha = row.get("FECHA DE ASEGURADORA") or row.get("FECHA ASEGURADORA")
+    if fecha is not None and str(fecha).strip():
+        if _parse_insurance_date(fecha) is None:
+            return {"line": line_num, "col": "FECHA DE ASEGURADORA", "msg": "Formato de fecha inválido (use YYYYMMDD o DD/MM/YYYY)"}
+
+    return None
+
+
+def _do_scan(
+    job_id: str,
+    progress_callback: Optional[Any] = None,
+) -> Dict[str, Any]:
+    """
+    Lógica de escaneo (sin Celery). Usado por la tarea scan_file y por run_scan_sync.
+    progress_callback(current, total, error_count) opcional.
+    """
+    file_path = _ensure_worker_has_file_from_redis(job_id)
+    if not file_path:
+        return {"status": "failed", "error": "Archivo no encontrado (expirado o no subido). Sube de nuevo."}
+    _ensure_worker_has_meta_from_redis(job_id, file_path)
+
+    error_dir = os.path.join(os.path.dirname(file_path).replace("temp", "errors"), "")
+    os.makedirs(error_dir, exist_ok=True)
+    error_path = os.path.join(error_dir, f"veh_{job_id}.jsonl")
+
+    total_rows = 0
+    try:
+        with open(file_path, "r", encoding="utf-8-sig") as f:
+            total_rows = sum(1 for _ in f) - 1
+    except Exception as e:
+        return {"status": "failed", "error": str(e)}
+
+    meta_path = file_path.replace(".csv", ".meta.json")
+    meta = {}
+    if os.path.exists(meta_path):
+        try:
+            with open(meta_path, "r", encoding="utf-8") as f:
+                meta = json.load(f) or {}
+        except Exception as e:
+            logger.warning(f"Vehicles import: failed to read meta: {e}")
+
+    tenant_id = meta.get("tenant_id")
+    company_id = meta.get("company_id")
+    if not tenant_id or not company_id:
+        return {"status": "failed", "error": "Falta contexto (tenant/company)"}
+
+    error_count = 0
+    processed_rows = 0
+    errors_detail: List[Dict[str, Any]] = []
+
+    try:
+        with open(file_path, "r", encoding="utf-8-sig") as f_in, open(
+            error_path, "w", encoding="utf-8"
+        ) as f_err:
+            sample = f_in.read(2048)
+            f_in.seek(0)
+            try:
+                dialect = csv.Sniffer().sniff(sample, delimiters=",;\t")
+            except Exception:
+                dialect = "excel"
+            reader = csv.DictReader(f_in, dialect=dialect)
+
+            for i, row in enumerate(reader, start=1):
+                if progress_callback and i % 500 == 0:
+                    progress_callback(i, total_rows, error_count)
+
+                row_norm = row_from_template(row, normalize_header)
+                err = _validate_row_vehicle(row_norm, i)
+                if err:
+                    error_count += 1
+                    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
+
+    except Exception as e:
+        logger.error(f"Vehicles import scan failed: {e}")
+        return {"status": "failed", "error": str(e)}
+
+    error_lines_list = []
+    try:
+        if os.path.exists(error_path):
+            with open(error_path, "r", encoding="utf-8") as f:
+                for line in f:
+                    try:
+                        err = json.loads(line)
+                        if "line" in err:
+                            error_lines_list.append(err["line"])
+                    except Exception:
+                        pass
+        if error_lines_list:
+            r = _get_redis()
+            r.set(
+                f"{VEHL_IMPORT_ERROR_LINES_PREFIX}{job_id}",
+                json.dumps(error_lines_list).encode("utf-8"),
+                ex=VEHL_IMPORT_REDIS_TTL,
+            )
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to store error lines in Redis: {e}")
+
+    result = {
+        "status": "waiting_confirmation",
+        "job_id": job_id,
+        "total_rows": processed_rows,
+        "error_count": error_count,
+        "valid_rows": processed_rows - error_count,
+        "errors": errors_detail,
+    }
+    return result
+
+
+def run_scan_sync(job_id: str) -> Dict[str, Any]:
+    """
+    Ejecuta el escaneo en el proceso actual y guarda el resultado en Redis.
+    Usado desde el endpoint de upload en un hilo cuando no hay worker de Celery.
+    """
+    result = _do_scan(job_id, progress_callback=None)
+    try:
+        r = _get_redis()
+        r.set(
+            f"{VEHL_IMPORT_STATUS_PREFIX}{job_id}",
+            json.dumps(result).encode("utf-8"),
+            ex=VEHL_IMPORT_REDIS_TTL,
+        )
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to store scan status in Redis: {e}")
+    return result
+
+
+@celery_app.task(bind=True)
+def scan_file(self, job_id: str, config: str = None):
+    """
+    Fase 1: Leer CSV, validar filas, escribir errores en JSONL.
+    Devuelve waiting_confirmation con total_rows, error_count, valid_rows, errors.
+    """
+    logger.info(f"Vehicles import: starting scan for job {job_id}")
+
+    def on_progress(current: int, total: int, errors: int) -> None:
+        self.update_state(
+            state="PROGRESS",
+            meta={"current": current, "total": total, "errors": errors},
+        )
+
+    result = _do_scan(job_id, progress_callback=on_progress)
+    try:
+        r = _get_redis()
+        r.set(
+            f"{VEHL_IMPORT_STATUS_PREFIX}{job_id}",
+            json.dumps(result).encode("utf-8"),
+            ex=VEHL_IMPORT_REDIS_TTL,
+        )
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to store scan status in Redis: {e}")
+    return result
+
+
+def _str_or_none(val: Any, max_len: Optional[int] = None) -> Optional[str]:
+    if val is None:
+        return None
+    s = str(val).strip()
+    if not s:
+        return None
+    if max_len and len(s) > max_len:
+        return s[:max_len]
+    return s
+
+
+def _row_to_vehicle_dto(row: Dict[str, Any]) -> Dict[str, Any]:
+    """Build dict suitable for VehicleCreateDTO / VehicleUpdateDTO from normalized row."""
+    vehicle_key = _str_or_none(row.get("CLAVE"), _MAX["vehicle_key"])
+    if not vehicle_key:
+        return {}
+    data = {
+        "vehicle_key": vehicle_key,
+        "ace_vehicle_key": _str_or_none(row.get("CLAVE ACE"), _MAX["ace_vehicle_key"]),
+        "transporter_key": _str_or_none(row.get("CLAVE TRANSPORTE"), _MAX["transporter_key"]),
+        "series": _str_or_none(row.get("VIN"), _MAX["series"]),
+        "transport_type": _str_or_none(row.get("TIPO TRANSPORTE"), _MAX["transport_type"]),
+        "entity_code": _str_or_none(row.get("CODIGO DE ENTIDAD"), _MAX["entity_code"]),
+        "transponder_number": _str_or_none(row.get("TRANSPONDEDOR"), _MAX["transponder_number"]),
+        "dot_number": _str_or_none(row.get("NUMERO DOT"), _MAX["dot_number"]),
+        "plate_number": _str_or_none(row.get("PLACAS"), _MAX["plate_number"]),
+        "city": _str_or_none(row.get("CIUDAD"), _MAX["city"]),
+        "state": _str_or_none(row.get("ESTADO"), _MAX["state"]),
+        "country": _str_or_none(row.get("PAIS"), _MAX["country"]),
+        "seal": _str_or_none(row.get("PRECINTO"), _MAX["seal"]),
+        "insurance_company_name": _str_or_none(row.get("EMPRESA ASEGURADORA"), _MAX["insurance_company_name"]),
+        "insurance_number": _str_or_none(row.get("NUM. ASEGURADORA"), _MAX["insurance_number"]),
+        "insurance_amount": _parse_decimal(row.get("MONTO ASEGURADO") or row.get("MONTO")),
+        "insurance_date": _parse_insurance_date(row.get("FECHA DE ASEGURADORA") or row.get("FECHA ASEGURADORA")),
+    }
+    return data
+
+
+def _do_commit(job_id: str) -> Dict[str, Any]:
+    """
+    Lógica de commit (inserción/actualización). Usado por la tarea insert_valid_rows y por run_commit_sync.
+    """
+    file_path = _ensure_worker_has_file_from_redis(job_id)
+    if not file_path:
+        alt_path = os.path.join(_worker_upload_dir(), f"veh_{job_id}.csv")
+        if not os.path.exists(alt_path):
+            return {
+                "status": "failed",
+                "error": "Archivo no encontrado (expirado). Sube y confirma de nuevo.",
+            }
+        file_path = alt_path
+    else:
+        _ensure_worker_has_meta_from_redis(job_id, file_path)
+
+    base_dir = os.path.dirname(file_path)
+    error_dir = base_dir.replace("temp", "errors")
+    error_path = os.path.join(error_dir, f"veh_{job_id}.jsonl")
+
+    error_lines = set()
+    try:
+        r = _get_redis()
+        raw = r.get(f"{VEHL_IMPORT_ERROR_LINES_PREFIX}{job_id}")
+        if raw:
+            error_lines = set(json.loads(raw.decode("utf-8")))
+    except Exception as e:
+        logger.debug(f"Vehicles import: could not load error lines from Redis: {e}")
+    if not error_lines and os.path.exists(error_path):
+        with open(error_path, "r", encoding="utf-8") as f:
+            for line in f:
+                try:
+                    err = json.loads(line)
+                    error_lines.add(err["line"])
+                except Exception:
+                    pass
+
+    meta_path = file_path.replace(".csv", ".meta.json")
+    tenant_id = None
+    company_id = None
+    meta = {}
+    if os.path.exists(meta_path):
+        try:
+            with open(meta_path, "r", encoding="utf-8") as f:
+                meta = json.load(f) or {}
+                tenant_id = meta.get("tenant_id")
+                company_id = meta.get("company_id")
+        except Exception:
+            pass
+
+    if not tenant_id or not company_id:
+        return {"status": "failed", "error": "Falta contexto (tenant/company)"}
+
+    from api.v1.modules.a76.transportation.vehicles.services import VehicleService
+    from api.v1.modules.a76.transportation.vehicles.dto import VehicleCreateDTO, VehicleUpdateDTO
+
+    inserted_count = 0
+    updated_count = 0
+    skipped_invalid = 0
+    skipped_duplicate = 0
+    skipped_details: List[Dict[str, Any]] = []
+    seen_keys_in_file: Dict[str, int] = {}
+
+    try:
+        with CoreSessionLocal() as session:
+            with open(file_path, "r", encoding="utf-8-sig") as f:
+                sample = f.read(2048)
+                f.seek(0)
+                try:
+                    dialect = csv.Sniffer().sniff(sample, delimiters=",;\t")
+                except Exception:
+                    dialect = "excel"
+                reader = csv.DictReader(f, dialect=dialect)
+
+                for i, row in enumerate(reader, start=1):
+                    if i in error_lines:
+                        continue
+
+                    row_norm = row_from_template(row, normalize_header)
+                    err = _validate_row_vehicle(row_norm, i)
+                    if err:
+                        skipped_invalid += 1
+                        skipped_details.append(
+                            {
+                                "line": i,
+                                "vehicle_key": (row_norm.get("CLAVE") or "").strip()[:14] or "-",
+                                "invoice": (row_norm.get("CLAVE") or "").strip()[:14] or "-",
+                                "reason": f"{err.get('col', '')}: {err.get('msg', '')}",
+                            }
+                        )
+                        continue
+
+                    data = _row_to_vehicle_dto(row_norm)
+                    if not data or not data.get("vehicle_key"):
+                        skipped_invalid += 1
+                        continue
+
+                    vk = data["vehicle_key"]
+                    if vk in seen_keys_in_file:
+                        skipped_duplicate += 1
+                        skipped_details.append(
+                            {"line": i, "vehicle_key": vk, "invoice": vk, "reason": "Clave duplicada en el archivo (se usa la primera)"}
+                        )
+                        continue
+                    seen_keys_in_file[vk] = i
+
+                    existing = VehicleService.get_by_id(session, vk, tenant_id, company_id)
+                    try:
+                        if existing:
+                            update_data = VehicleUpdateDTO(**{k: v for k, v in data.items() if k != "vehicle_key"})
+                            VehicleService.update(session, vk, tenant_id, update_data, company_id)
+                            updated_count += 1
+                        else:
+                            create_data = VehicleCreateDTO(**data)
+                            VehicleService.create(session, create_data, tenant_id, company_id)
+                            inserted_count += 1
+                    except Exception as db_err:
+                        session.rollback()
+                        skipped_invalid += 1
+                        skipped_details.append(
+                            {"line": i, "vehicle_key": vk, "invoice": vk, "reason": str(db_err)}
+                        )
+                        continue
+
+            try:
+                session.commit()
+            except Exception as db_err:
+                session.rollback()
+                logger.error(f"Vehicles import DB error: {db_err}")
+                return {"status": "failed", "error": str(db_err)}
+
+    except Exception as e:
+        logger.error(f"Vehicles import task failed: {e}")
+        import traceback
+        logger.error(traceback.format_exc())
+        return {"status": "failed", "error": str(e)}
+
+    try:
+        if file_path and os.path.exists(file_path):
+            os.remove(file_path)
+        if os.path.exists(error_path):
+            os.remove(error_path)
+        if os.path.exists(meta_path):
+            os.remove(meta_path)
+        _delete_import_from_redis(job_id)
+    except Exception as cleanup_err:
+        logger.warning(f"Vehicles 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]:
+    """
+    Ejecuta el commit en el proceso actual y guarda el resultado en Redis.
+    Usado desde el endpoint de commit en un hilo cuando no hay worker de Celery.
+    """
+    result = _do_commit(job_id)
+    try:
+        r = _get_redis()
+        r.set(
+            f"{VEHL_IMPORT_STATUS_PREFIX}{job_id}",
+            json.dumps(result).encode("utf-8"),
+            ex=VEHL_IMPORT_REDIS_TTL,
+        )
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to store commit status in Redis: {e}")
+    return result
+
+
+@celery_app.task(bind=True)
+def insert_valid_rows(self, job_id: str):
+    """
+    Fase 2: Re-leer CSV, omitir filas con error, create/update via VehicleService.
+    """
+    logger.info(f"Vehicles import: starting commit for job {job_id}")
+    result = _do_commit(job_id)
+    try:
+        r = _get_redis()
+        r.set(
+            f"{VEHL_IMPORT_STATUS_PREFIX}{job_id}",
+            json.dumps(result).encode("utf-8"),
+            ex=VEHL_IMPORT_REDIS_TTL,
+        )
+    except Exception as e:
+        logger.warning(f"Vehicles import: failed to store commit status in Redis: {e}")
+    return result

backend/api/v1/modules/a76/transportation/vehicles/imports/template_config.py

@@ -0,0 +1,53 @@
+"""
+Configuración de plantilla CSV para Vehículos / Transportes (EstructuraCatTransportes.xls).
+Mapeo: CLAVE → vehicle_key, CLAVE ACE → ace_vehicle_key, etc.
+"""
+
+from typing import Dict, List, Any
+
+TEMPLATE_COLUMNS: Dict[str, List[Dict[str, Any]]] = {
+    "vehicles": [
+        {"canonical": "CLAVE", "aliases": ["CLAVE VEHICULO", "VEHICLE KEY", "KEY"]},
+        {"canonical": "CLAVE ACE", "aliases": ["ACE", "CLAVEACE"]},
+        {"canonical": "CLAVE TRANSPORTE", "aliases": ["TRANSPORTE", "TRANSPORTISTA"]},
+        {"canonical": "VIN", "aliases": ["SERIE", "SERIES", "NUMERO SERIE"]},
+        {"canonical": "TIPO TRANSPORTE", "aliases": ["TIPO", "TRANSPORT TYPE"]},
+        {"canonical": "CODIGO DE ENTIDAD", "aliases": ["ENTIDAD", "ENTITY CODE"]},
+        {"canonical": "TRANSPONDEDOR", "aliases": ["TRANSPONDER", "TRANSPONDER NUMBER"]},
+        {"canonical": "NUMERO DOT", "aliases": ["DOT", "NUM DOT"]},
+        {"canonical": "PLACAS", "aliases": ["PLACA", "PLATE", "PLATE NUMBER"]},
+        {"canonical": "CIUDAD", "aliases": ["CITY"]},
+        {"canonical": "ESTADO", "aliases": ["STATE"]},
+        {"canonical": "PAIS", "aliases": ["COUNTRY", "Pais"]},
+        {"canonical": "PRECINTO", "aliases": ["SEAL"]},
+        {"canonical": "EMPRESA ASEGURADORA", "aliases": ["ASEGURADORA", "INSURANCE COMPANY"]},
+        {"canonical": "NUM. ASEGURADORA", "aliases": ["NUM ASEGURADORA", "POLIZA", "INSURANCE NUMBER"]},
+        {"canonical": "MONTO ASEGURADO", "aliases": ["MONTO", "INSURANCE AMOUNT"]},
+        {"canonical": "FECHA DE ASEGURADORA", "aliases": ["FECHA ASEGURADORA", "INSURANCE DATE"]},
+    ],
+}
+
+
+def build_normalized_lookup(normalize_header_fn) -> Dict[str, str]:
+    cols = TEMPLATE_COLUMNS.get("vehicles")
+    if not cols:
+        return {}
+    lookup: Dict[str, str] = {}
+    for item in cols:
+        canonical = item["canonical"]
+        lookup[normalize_header_fn(canonical)] = canonical
+        for alias in item.get("aliases") or []:
+            lookup[normalize_header_fn(alias)] = canonical
+    return lookup
+
+
+def row_from_template(row: Dict[str, Any], normalize_header_fn) -> Dict[str, Any]:
+    lookup = build_normalized_lookup(normalize_header_fn)
+    if not lookup:
+        return {normalize_header_fn(k): v for k, v in row.items()}
+    out: Dict[str, Any] = {}
+    for csv_header, value in row.items():
+        key_norm = normalize_header_fn(csv_header)
+        if key_norm in lookup:
+            out[lookup[key_norm]] = value
+    return out

backend/api/v1/modules/a76/transportation/vehicles/routes.py

@@ -1,11 +1,19 @@
+from fastapi import APIRouter
+
 from api.v1.common.tenant_crud_routes import TenantCRUDRoutes
 
 from .dto import VehicleCreateDTO, VehicleResponseDTO, VehicleUpdateDTO
 from .services import VehicleService
+from .imports.routes import router as imports_router
 
-# Create router using TenantCRUDRoutes factory
-# Note: vehicle_key is a string (not int) and is used as the primary key
-router = TenantCRUDRoutes(
+# Main router: vehicles CRUD + CSV imports
+router = APIRouter()
+
+# CSV import (upload → scan → status → commit)
+router.include_router(imports_router, prefix="/vehicles/imports", tags=["a76 / vehicles / csv_import"])
+
+# CRUD routes
+crud_router = TenantCRUDRoutes(
     service=VehicleService,
     create_schema=VehicleCreateDTO,
     update_schema=VehicleUpdateDTO,
@@ -13,10 +21,11 @@ router = TenantCRUDRoutes(
     prefix="/vehicles",
     tags=[],
     resource_name="Vehicle",
-    id_name="vehicle_key",  # Using vehicle_key instead of numeric ID
-    id_type=str,  # Specify that the ID is a string
-    enable_list=True,  # Enable GET /vehicles with pagination
-    enable_filters=True,  # Enable filtering by plate_number and transport_type
+    id_name="vehicle_key",
+    id_type=str,
+    enable_list=True,
+    enable_filters=True,
     default_page_size=50,
     max_page_size=100,
 ).router
+router.include_router(crud_router)

backend/core/celery_app.py

@@ -39,6 +39,7 @@ celery_app.conf.update(
         "api.v1.modules.a76.general_catalogs.exchange_rate.imports.tasks",
         "api.v1.modules.a76.general_catalogs.fractions.us_tariff_fractions.imports.tasks",
         "api.v1.modules.a76.classes.imports.tasks",
+        "api.v1.modules.a76.transportation.vehicles.imports.tasks",
         "api.v1.modules.a76.reports.exportacion.transmission.MAINX30.task",
         "api.v1.modules.a76.reports.importacion.transmission.temporal.MAINX30.task",
         "api.v1.modules.a76.reports.importacion.transmission.definitive.MAINX30.task",

frontend/src/lib/api.ts

@@ -464,6 +464,21 @@ export const api = {
 			api.post(`/v1/a76/classes/imports/${jobId}/commit`, {})
 	},
 
+	// CSV import for Vehículos / Transportes (transportation/vehicles/imports)
+	vehicleImports: {
+		upload: (file: File, companyId: number) => {
+			const formData = new FormData();
+			formData.append('file', file);
+			return fetchApi(
+				`/v1/a76/transportation/vehicles/imports/upload?company_id=${companyId}`,
+				{ method: 'POST', body: formData }
+			);
+		},
+		status: (jobId: string) => api.get(`/v1/a76/transportation/vehicles/imports/${jobId}/status`),
+		commit: (jobId: string) =>
+			api.post(`/v1/a76/transportation/vehicles/imports/${jobId}/commit`, {})
+	},
+
 	// Generic request for custom needs (like file uploads)
 	request: <T = any>(endpoint: string, options: RequestInit = {}) => fetchApi<T>(endpoint, options)
 };

frontend/src/routes/dashboard/csv-upload/+page.svelte

@@ -36,6 +36,8 @@
 	let usePedimentosImport = $state(false);
 	// Cuando es true, usamos API de importación de Clases de Materiales (classes/imports)
 	let useMaterialClassesImport = $state(false);
+	// Cuando es true, usamos API de importación de Vehículos / Transportes (vehicles/imports)
+	let useVehicleImport = $state(false);
 
 	// Initialize settings for all tabs upfront to avoid reactivity loops
 	let allSettings = $state<Record<string, any>>(() => {
@@ -60,6 +62,7 @@
 		useAmericanFractionImport = config.id === 'american_fractions';
 		usePedimentosImport = config.id === 'pedimentos';
 		useMaterialClassesImport = config.id === 'material_classes';
+		useVehicleImport = config.id === 'transports';
 
 		const companyId = companyStore.activeCompany?.id || 1;
 
@@ -171,6 +174,24 @@
 			return;
 		}
 
+		if (useVehicleImport) {
+			try {
+				const res = await api.vehicleImports.upload(file, companyId);
+				if (res.data?.job_id) {
+					currentJobId = res.data.job_id;
+					pollStatus();
+				} else {
+					toast.error(res.error || 'Error al subir el archivo');
+					isUploading = false;
+				}
+			} catch (e) {
+				console.error('Upload exception', e);
+				toast.error('Error inesperado al subir el archivo');
+				isUploading = false;
+			}
+			return;
+		}
+
 		const currentSettings = allSettings[activeTab] || {};
 		const footerConfig = { ...currentSettings };
 		if (activeTab === 'importacion') {
@@ -217,7 +238,9 @@
 								? await api.pedimentosImports.status(currentJobId)
 								: useMaterialClassesImport
 									? await api.materialClassImports.status(currentJobId)
-									: await api.imports.status(currentJobId);
+									: useVehicleImport
+										? await api.vehicleImports.status(currentJobId)
+										: await api.imports.status(currentJobId);
 			console.log('Poll response', res);
 			if (res.error && !res.data) {
 				toast.error(res.error || 'Error al consultar el estado');
@@ -373,7 +396,9 @@
 									? await api.pedimentosImports.commit(currentJobId)
 									: useMaterialClassesImport
 										? await api.materialClassImports.commit(currentJobId)
-										: await api.imports.commit(currentJobId, activeModelTarget || '');
+										: useVehicleImport
+											? await api.vehicleImports.commit(currentJobId)
+											: await api.imports.commit(currentJobId, activeModelTarget || '');
 				if (res.data?.commit_job_id) {
 					currentJobId = res.data.commit_job_id;
 					pollStatus();