feature/csv-clases-materiales

backend/api/v1/modules/a76/classes/__init__.py

@@ -2,6 +2,20 @@
 Módulo de Class
 """
 
-from .routes import router
+from typing import Any
 
 __all__ = ["router"]
+
+
+def __getattr__(name: str) -> Any:
+    """
+    Lazy export to avoid circular imports during Celery init.
+
+    This package is imported when models are loaded (e.g. a76.items.models),
+    so importing FastAPI routes at import-time can break Celery startup.
+    """
+    if name == "router":
+        from .routes import router
+
+        return router
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")

backend/api/v1/modules/a76/classes/imports/__init__.py

@@ -0,0 +1 @@
+# CSV import for Clases de Materiales (upload → scan → status → commit).

backend/api/v1/modules/a76/classes/imports/routes.py

@@ -0,0 +1,151 @@
+"""
+Rutas de importación CSV para Clases de Materiales.
+Flujo: upload → scan → status (polling) → commit.
+"""
+import base64
+import json
+import logging
+import os
+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,
+    insert_valid_rows,
+    CLS_IMPORT_FILE_PREFIX,
+    CLS_IMPORT_META_PREFIX,
+    CLS_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"Classes 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": "material_classes",
+    }
+
+    try:
+        r = _get_redis()
+        r.set(
+            f"{CLS_IMPORT_FILE_PREFIX}{job_id}",
+            base64.b64encode(contents),
+            ex=CLS_IMPORT_REDIS_TTL,
+        )
+        r.set(
+            f"{CLS_IMPORT_META_PREFIX}{job_id}",
+            json.dumps(meta_data).encode("utf-8"),
+            ex=CLS_IMPORT_REDIS_TTL,
+        )
+    except Exception as e:
+        logger.error(f"Classes 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"cls_{job_id}.csv"), "wb") as f:
+            f.write(contents)
+        with open(os.path.join(upload_dir, f"cls_{job_id}.meta.json"), "w") as f:
+            json.dump(meta_data, f)
+    except Exception as e:
+        logger.warning(f"Classes import: local file save failed: {e}")
+
+    scan_file.apply_async(args=[job_id], task_id=job_id)
+
+    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):
+    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("Classes 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):
+    task = insert_valid_rows.delay(job_id)
+    return {
+        "status": "committing",
+        "message": "Inserción iniciada.",
+        "commit_job_id": task.id,
+    }

backend/api/v1/modules/a76/classes/imports/schemas.py

@@ -0,0 +1,21 @@
+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_details: Optional[list] = None

backend/api/v1/modules/a76/classes/imports/tasks.py

@@ -0,0 +1,528 @@
+"""
+Tareas Celery para importación CSV de Clases de Materiales.
+Flujo: scan_file (validación) → insert_valid_rows (commit).
+"""
+import os
+import base64
+import csv
+import json
+import logging
+import re
+import unicodedata
+from typing import Dict, Any, Optional, List, Set
+
+from core.celery_app import celery_app
+from core.database import CoreSessionLocal
+
+from .template_config import row_from_template
+
+logger = logging.getLogger(__name__)
+
+CLS_IMPORT_FILE_PREFIX = "cls_import_file:"
+CLS_IMPORT_META_PREFIX = "cls_import_meta:"
+CLS_IMPORT_ERROR_LINES_PREFIX = "cls_import_error_lines:"
+CLS_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"{CLS_IMPORT_FILE_PREFIX}{job_id}")
+    if not data:
+        return None
+    try:
+        raw = base64.b64decode(data)
+    except Exception as e:
+        logger.warning(f"Classes 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"cls_{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"{CLS_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"Classes 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"{CLS_IMPORT_FILE_PREFIX}{job_id}",
+            f"{CLS_IMPORT_META_PREFIX}{job_id}",
+            f"{CLS_IMPORT_ERROR_LINES_PREFIX}{job_id}",
+        )
+    except Exception as e:
+        logger.warning(f"Classes 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()
+
+
+def _validate_row_class(
+    row: Dict[str, Any],
+    line_num: int,
+    valid_material_keys: Optional[Set[str]] = None,
+    valid_uom_codes: Optional[Set[str]] = None,
+) -> Optional[Dict[str, Any]]:
+    class_code = (row.get("CLASE") or "").strip()
+    if not class_code:
+        return {"line": line_num, "col": "CLASE", "msg": "Requerido"}
+    if len(class_code) > 8:
+        return {"line": line_num, "col": "CLASE", "msg": "Máximo 8 caracteres"}
+
+    desc_es = (row.get("DESCRIPCIONE") or "").strip()
+    if desc_es and len(desc_es) > 500:
+        return {"line": line_num, "col": "DESCRIPCIONE", "msg": "Máximo 500 caracteres"}
+    desc_en = (row.get("DESCRIPCIONI") or "").strip()
+    if desc_en and len(desc_en) > 500:
+        return {"line": line_num, "col": "DESCRIPCIONI", "msg": "Máximo 500 caracteres"}
+
+    material_key = (row.get("CLAVEMAT") or "").strip()
+    if material_key:
+        if len(material_key) > 10:
+            return {"line": line_num, "col": "CLAVEMAT", "msg": "Máximo 10 caracteres"}
+        if valid_material_keys is not None and material_key not in valid_material_keys:
+            return {"line": line_num, "col": "CLAVEMAT", "msg": "Tipo de material no existe"}
+
+    uom = (row.get("UNIMED") or "").strip()
+    if uom:
+        if len(uom) > 5:
+            return {"line": line_num, "col": "UNIMED", "msg": "Máximo 5 caracteres"}
+        if valid_uom_codes is not None and uom not in valid_uom_codes:
+            return {"line": line_num, "col": "UNIMED", "msg": "Unidad de medida no existe"}
+
+    fraction = (row.get("FRACCION") or "").strip()
+    if fraction and len(fraction) > 20:
+        return {"line": line_num, "col": "FRACCION", "msg": "Máximo 20 caracteres"}
+    us_fraction = (row.get("FRACCIONAME") or "").strip()
+    if us_fraction and len(us_fraction) > 16:
+        return {"line": line_num, "col": "FRACCIONAME", "msg": "Máximo 16 caracteres"}
+    sub_key = (row.get("CLAVESUB") or "").strip()
+    if sub_key and len(sub_key) > 5:
+        return {"line": line_num, "col": "CLAVESUB", "msg": "Máximo 5 caracteres"}
+    iva_exempt = (row.get("FRACCIONEXENTAIVA") or "").strip()
+    if iva_exempt and len(iva_exempt) > 4:
+        return {"line": line_num, "col": "FRACCIONEXENTAIVA", "msg": "Máximo 4 caracteres"}
+
+    rev_fisica = row.get("REVFISICA")
+    if rev_fisica is not None and rev_fisica != "":
+        try:
+            v = int(rev_fisica)
+            if v < -32768 or v > 32767:
+                return {"line": line_num, "col": "REVFISICA", "msg": "Valor fuera de rango"}
+        except (ValueError, TypeError):
+            return {"line": line_num, "col": "REVFISICA", "msg": "Debe ser número entero"}
+
+    return None
+
+
+@celery_app.task(bind=True)
+def scan_file(self, job_id: str, config: str = None):
+    logger.info(f"Classes import: starting scan for job {job_id}")
+
+    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"cls_{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"Classes 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)"}
+
+    valid_material_keys: Set[str] = set()
+    valid_uom_codes: Set[str] = set()
+    try:
+        with CoreSessionLocal() as session:
+            from api.v1.modules.public.reference_data.material_types.models import MaterialType
+            from api.v1.modules.a76.general_catalogs.units_of_measure.models import UnitOfMeasure
+            for m in session.query(MaterialType.key).all():
+                valid_material_keys.add(m[0])
+            for u in (
+                session.query(UnitOfMeasure.code)
+                .filter(
+                    UnitOfMeasure.tenant_id == tenant_id,
+                    UnitOfMeasure.company_id == company_id,
+                )
+                .all()
+            ):
+                valid_uom_codes.add(u[0])
+    except Exception as e:
+        logger.warning(f"Classes import: could not load FK sets: {e}")
+
+    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 i % 500 == 0:
+                    self.update_state(
+                        state="PROGRESS",
+                        meta={"current": i, "total": total_rows, "errors": error_count},
+                    )
+
+                row_norm = row_from_template(row, normalize_header)
+                err = _validate_row_class(
+                    row_norm, i,
+                    valid_material_keys=valid_material_keys,
+                    valid_uom_codes=valid_uom_codes,
+                )
+                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"Classes 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"{CLS_IMPORT_ERROR_LINES_PREFIX}{job_id}",
+                json.dumps(error_lines_list).encode("utf-8"),
+                ex=CLS_IMPORT_REDIS_TTL,
+            )
+    except Exception as e:
+        logger.warning(f"Classes import: failed to store error lines in Redis: {e}")
+
+    return {
+        "status": "waiting_confirmation",
+        "job_id": job_id,
+        "total_rows": processed_rows,
+        "error_count": error_count,
+        "valid_rows": processed_rows - error_count,
+        "errors": errors_detail,
+    }
+
+
+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 _int_or_none(val: Any) -> Optional[int]:
+    if val is None or val == "":
+        return None
+    try:
+        return int(val)
+    except (ValueError, TypeError):
+        return None
+
+
+@celery_app.task(bind=True)
+def insert_valid_rows(self, job_id: str):
+    logger.info(f"Classes import: starting commit for job {job_id}")
+
+    file_path = _ensure_worker_has_file_from_redis(job_id)
+    if not file_path:
+        alt_path = os.path.join(_worker_upload_dir(), f"cls_{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"cls_{job_id}.jsonl")
+
+    error_lines = set()
+    try:
+        r = _get_redis()
+        raw = r.get(f"{CLS_IMPORT_ERROR_LINES_PREFIX}{job_id}")
+        if raw:
+            error_lines = set(json.loads(raw.decode("utf-8")))
+    except Exception as e:
+        logger.debug(f"Classes 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.classes.models import Class
+
+    valid_material_keys: Set[str] = set()
+    valid_uom_codes: Set[str] = set()
+    try:
+        with CoreSessionLocal() as session:
+            from api.v1.modules.public.reference_data.material_types.models import MaterialType
+            from api.v1.modules.a76.general_catalogs.units_of_measure.models import UnitOfMeasure
+            for m in session.query(MaterialType.key).all():
+                valid_material_keys.add(m[0])
+            for u in (
+                session.query(UnitOfMeasure.code)
+                .filter(
+                    UnitOfMeasure.tenant_id == tenant_id,
+                    UnitOfMeasure.company_id == company_id,
+                )
+                .all()
+            ):
+                valid_uom_codes.add(u[0])
+    except Exception as e:
+        logger.warning(f"Classes import: could not load FK sets: {e}")
+
+    inserted_count = 0
+    skipped_invalid = 0
+    skipped_details: List[Dict[str, Any]] = []
+    response = None
+
+    try:
+        with CoreSessionLocal() as session:
+            existing_by_code: Dict[str, Class] = {}
+            for c in (
+                session.query(Class)
+                .filter(
+                    Class.tenant_id == tenant_id,
+                    Class.company_id == company_id,
+                )
+                .all()
+            ):
+                existing_by_code[c.class_code] = c
+
+            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_class(
+                        row_norm, i,
+                        valid_material_keys=valid_material_keys,
+                        valid_uom_codes=valid_uom_codes,
+                    )
+                    if err:
+                        skipped_invalid += 1
+                        skipped_details.append(
+                            {"line": i, "reason": f"{err.get('col', '')}: {err.get('msg', '')}"}
+                        )
+                        continue
+
+                    class_code = _str_or_none(row_norm.get("CLASE"), 8)
+                    if not class_code:
+                        skipped_invalid += 1
+                        continue
+
+                    existing = existing_by_code.get(class_code)
+                    desc_es = _str_or_none(row_norm.get("DESCRIPCIONE"), 500)
+                    desc_en = _str_or_none(row_norm.get("DESCRIPCIONI"), 500)
+                    material_key = _str_or_none(row_norm.get("CLAVEMAT"), 10)
+                    if material_key and material_key not in valid_material_keys:
+                        material_key = None
+                    unit_of_measure = _str_or_none(row_norm.get("UNIMED"), 5)
+                    if unit_of_measure and unit_of_measure not in valid_uom_codes:
+                        unit_of_measure = None
+                    fraction = _str_or_none(row_norm.get("FRACCION"), 20)
+                    us_fraction = _str_or_none(row_norm.get("FRACCIONAME"), 16)
+                    sub_key = _str_or_none(row_norm.get("CLAVESUB"), 5)
+                    physical_review = _int_or_none(row_norm.get("REVFISICA"))
+                    iva_exempt_fraction = _str_or_none(row_norm.get("FRACCIONEXENTAIVA"), 4)
+
+                    if existing:
+                        existing.description_es = desc_es
+                        existing.description_en = desc_en
+                        existing.material_key = material_key
+                        existing.unit_of_measure = unit_of_measure
+                        existing.fraction = fraction
+                        existing.us_fraction = us_fraction
+                        existing.sub_key = sub_key
+                        existing.physical_review = physical_review
+                        existing.iva_exempt_fraction = iva_exempt_fraction
+                        session.add(existing)
+                        inserted_count += 1
+                    else:
+                        new_class = Class(
+                            tenant_id=tenant_id,
+                            company_id=company_id,
+                            class_code=class_code,
+                            description_es=desc_es,
+                            description_en=desc_en,
+                            material_key=material_key,
+                            unit_of_measure=unit_of_measure,
+                            fraction=fraction,
+                            us_fraction=us_fraction,
+                            sub_key=sub_key,
+                            physical_review=physical_review,
+                            iva_exempt_fraction=iva_exempt_fraction,
+                        )
+                        session.add(new_class)
+                        existing_by_code[class_code] = new_class
+                        inserted_count += 1
+
+            try:
+                session.commit()
+            except Exception as db_err:
+                session.rollback()
+                logger.error(f"Classes import DB error: {db_err}")
+                return {"status": "failed", "error": str(db_err)}
+
+            total_skipped = skipped_invalid
+            if inserted_count == 0 and total_skipped > 0:
+                response = {
+                    "status": "warning",
+                    "inserted": 0,
+                    "skipped_invalid": skipped_invalid,
+                    "skipped_missing_fk": 0,
+                    "skipped_details": skipped_details,
+                    "message": f"No se insertaron registros. {total_skipped} rechazados.",
+                }
+            elif inserted_count == 0:
+                response = {
+                    "status": "failed",
+                    "error": "No hay registros válidos en el archivo CSV",
+                    "inserted": 0,
+                    "skipped_invalid": skipped_invalid,
+                    "skipped_missing_fk": 0,
+                    "skipped_details": skipped_details,
+                }
+            else:
+                response = {
+                    "status": "finished",
+                    "inserted": inserted_count,
+                    "skipped_invalid": skipped_invalid,
+                    "skipped_missing_fk": 0,
+                    "skipped_details": skipped_details,
+                }
+
+    except Exception as e:
+        logger.error(f"Classes 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"Classes import cleanup failed: {cleanup_err}")
+
+    if response is None:
+        response = {
+            "status": "failed",
+            "error": "Error inesperado",
+            "inserted": 0,
+            "skipped_invalid": skipped_invalid,
+            "skipped_missing_fk": 0,
+            "skipped_details": skipped_details,
+        }
+    return response

backend/api/v1/modules/a76/classes/imports/template_config.py

@@ -0,0 +1,45 @@
+"""
+Configuración de plantilla CSV para Clases de Materiales (EstructuraCatClasesAF.xls).
+"""
+
+from typing import Dict, List, Any, Optional
+
+TEMPLATE_COLUMNS: Dict[str, List[Dict[str, Any]]] = {
+    "material_classes": [
+        {"canonical": "CLASE", "aliases": ["CLASS", "CODIGO", "CLASE CODIGO"]},
+        {"canonical": "DESCRIPCIONE", "aliases": ["DESCRIPCION", "DESCRIPCION ES"]},
+        {"canonical": "DESCRIPCIONI", "aliases": ["DESCRIPCION EN", "DESCRIPTION"]},
+        {"canonical": "CLAVEMAT", "aliases": ["MATERIAL", "TIPOMAT", "CLAVE MATERIAL"]},
+        {"canonical": "UNIMED", "aliases": ["UNIDAD MEDIDA", "UNIT", "UOM"]},
+        {"canonical": "FRACCION", "aliases": ["FRACCION MEX"]},
+        {"canonical": "FRACCIONAME", "aliases": ["FRACCION USA", "US FRACTION"]},
+        {"canonical": "CLAVESUB", "aliases": ["SUB KEY", "CLAVE SUB"]},
+        {"canonical": "REVFISICA", "aliases": ["REV FISICA", "PHYSICAL REVIEW"]},
+        {"canonical": "FRACCIONEXENTAIVA", "aliases": ["EXENTA IVA", "FRACCION EXENTA IVA"]},
+    ],
+}
+
+
+def build_normalized_lookup(normalize_header_fn) -> Dict[str, str]:
+    cols = TEMPLATE_COLUMNS.get("material_classes")
+    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/classes/routes.py

@@ -12,10 +12,14 @@ from api.v1.common.tenant_crud_routes import TenantCRUDRoutes, validate_access_t
 
 from .dto import ClassCreateDTO, ClassCreateDTOFA, ClassResponseDTO, ClassResponseDTOFA, ClassUpdateDTO, ClassWithFADataResponse
 from .service import ClassService
+from .imports.routes import router as imports_router
 
 # Create a new router for custom endpoints
 router = APIRouter()
 
+# CSV import (upload → scan → status → commit)
+router.include_router(imports_router, prefix="/imports", tags=["a76 / classes / csv_import"])
+
 # Add consolidated catalog endpoints FIRST (before generic CRUD routes)
 # This ensures they have priority over the generic /{id} route
 @router.get(

backend/core/celery_app.py

@@ -38,6 +38,7 @@ celery_app.conf.update(
         "api.v1.modules.a76.pedmientos.imports.tasks",
         "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.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

@@ -449,6 +449,21 @@ export const api = {
 			api.post(`/v1/a76/pedimentos/imports/${jobId}/commit`, {})
 	},
 
+	// CSV import for Clases de Materiales (classes/imports)
+	materialClassImports: {
+		upload: (file: File, companyId: number) => {
+			const formData = new FormData();
+			formData.append('file', file);
+			return fetchApi(
+				`/v1/a76/classes/imports/upload?company_id=${companyId}`,
+				{ method: 'POST', body: formData }
+			);
+		},
+		status: (jobId: string) => api.get(`/v1/a76/classes/imports/${jobId}/status`),
+		commit: (jobId: string) =>
+			api.post(`/v1/a76/classes/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

@@ -34,6 +34,8 @@
 	let useAmericanFractionImport = $state(false);
 	// Cuando es true, usamos API de importación de Pedimentos (pedimentos/imports)
 	let usePedimentosImport = $state(false);
+	// Cuando es true, usamos API de importación de Clases de Materiales (classes/imports)
+	let useMaterialClassesImport = $state(false);
 
 	// Initialize settings for all tabs upfront to avoid reactivity loops
 	let allSettings = $state<Record<string, any>>(() => {
@@ -57,6 +59,7 @@
 		useExchangeRateImport = config.id === 'exchange_rates';
 		useAmericanFractionImport = config.id === 'american_fractions';
 		usePedimentosImport = config.id === 'pedimentos';
+		useMaterialClassesImport = config.id === 'material_classes';
 
 		const companyId = companyStore.activeCompany?.id || 1;
 
@@ -150,6 +153,24 @@
 			return;
 		}
 
+		if (useMaterialClassesImport) {
+			try {
+				const res = await api.materialClassImports.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') {
@@ -194,7 +215,9 @@
 							? await api.americanFractionImports.status(currentJobId)
 							: usePedimentosImport
 								? await api.pedimentosImports.status(currentJobId)
-								: await api.imports.status(currentJobId);
+								: useMaterialClassesImport
+									? await api.materialClassImports.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');
@@ -348,7 +371,9 @@
 								? await api.americanFractionImports.commit(currentJobId)
 								: usePedimentosImport
 									? await api.pedimentosImports.commit(currentJobId)
-									: await api.imports.commit(currentJobId, activeModelTarget || '');
+									: useMaterialClassesImport
+										? await api.materialClassImports.commit(currentJobId)
+										: await api.imports.commit(currentJobId, activeModelTarget || '');
 				if (res.data?.commit_job_id) {
 					currentJobId = res.data.commit_job_id;
 					pollStatus();