213 lines
7.1 KiB
Python
213 lines
7.1 KiB
Python
"""
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Rutas de importación CSV para Clases de Materiales.
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Flujo: upload → scan → status (polling) → commit.
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"""
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import base64
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import json
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import logging
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import os
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from uuid import uuid4
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from fastapi import APIRouter, File, HTTPException, Query, UploadFile, Depends
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from sqlalchemy.orm import Session
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from typing import Dict, Any
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from core.celery_app import celery_app
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from core.database import get_core_db
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from core.paths import layout_path
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from core.security import get_current_user, validate_access_to_resource
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from api.v1.modules.core.tasks_tracking import track_and_dispatch
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from ..common.track_commit_dispatch import dispatch_tracked_layouts_csv_commit
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from .schemas import ImportJobResponse
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from .tasks import (
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scan_file,
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insert_valid_rows,
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CLS_IMPORT_FILE_PREFIX,
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CLS_IMPORT_META_PREFIX,
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CLS_IMPORT_REDIS_TTL,
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)
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from ..common.error_csv import download_scan_errors_csv_stream
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router = APIRouter()
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logger = logging.getLogger(__name__)
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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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@router.post("/upload", response_model=ImportJobResponse)
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async def upload_import_file(
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file: UploadFile = File(...),
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company_id: int = Query(..., description="Company ID"),
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actualizar: bool = Query(False, description="Modo actualizar (ACT): validación parcial si la clase existe"),
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siempre_toda: bool = Query(False, description="Forzar siempre validación completa"),
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db: Session = Depends(get_core_db),
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current_user: Dict[str, Any] = Depends(get_current_user),
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):
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try:
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tenant_id = validate_access_to_resource(db, company_id, current_user)
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except Exception as e:
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logger.error(f"Classes import: access validation failed: {e}")
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raise HTTPException(status_code=403, detail="Invalid company access")
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if not file.filename or not file.filename.lower().endswith(".csv"):
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raise HTTPException(status_code=400, detail="Solo se permiten archivos .csv")
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job_id = str(uuid4())
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contents = await file.read()
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meta_data = {
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"tenant_id": tenant_id,
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"company_id": company_id,
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"user_id": current_user.get("id"),
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"template_id": "material_classes",
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"actualizar": actualizar,
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"siempre_toda": siempre_toda,
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}
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try:
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r = _get_redis()
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r.set(
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f"{CLS_IMPORT_FILE_PREFIX}{job_id}",
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base64.b64encode(contents),
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ex=CLS_IMPORT_REDIS_TTL,
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)
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r.set(
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f"{CLS_IMPORT_META_PREFIX}{job_id}",
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json.dumps(meta_data).encode("utf-8"),
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ex=CLS_IMPORT_REDIS_TTL,
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)
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except Exception as e:
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logger.error(f"Classes import: Redis store error: {e}")
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raise HTTPException(status_code=500, detail="No se pudo encolar el archivo.")
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try:
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upload_dir = layout_path("imports", "temp")
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os.makedirs(upload_dir, exist_ok=True)
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with open(os.path.join(upload_dir, f"cls_{job_id}.csv"), "wb") as f:
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f.write(contents)
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with open(os.path.join(upload_dir, f"cls_{job_id}.meta.json"), "w") as f:
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json.dump(meta_data, f)
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except Exception as e:
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logger.warning(f"Classes import: local file save failed: {e}")
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track_and_dispatch(
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db=db,
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task=scan_file,
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tenant_id=int(tenant_id),
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company_id=company_id,
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requested_by_user=current_user.get("preferred_username")
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or current_user.get("email")
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or current_user.get("sub"),
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task_name="classes_scan_file",
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task_group="layouts_csv",
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task_origin="a76/layouts_csv/classes/upload",
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args=[job_id],
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task_id=job_id,
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)
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return ImportJobResponse(
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job_id=job_id,
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status="queued",
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message="Archivo subido. Escaneo iniciado.",
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)
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@router.get("/{job_id}/status")
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async def get_import_status(job_id: str):
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task_result = celery_app.AsyncResult(job_id)
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if task_result.state == "PENDING":
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return {"status": "processing", "progress": 0}
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if task_result.state == "PROGRESS":
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info = (task_result.info or {})
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return {
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"status": "processing",
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"progress": info.get("current", 0),
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"total": info.get("total", 0),
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}
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if task_result.state == "SUCCESS":
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result = task_result.result
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if isinstance(result, dict) and "status" in result:
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return result
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return {"status": "finished", "result": result}
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result = getattr(task_result, "result", None)
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if isinstance(result, dict) and result.get("status") in ("finished", "warning"):
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return result
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# Si Celery devolvió el resultado como string (p. ej. JSON), parsear y devolver como scan si aplica
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if isinstance(result, str):
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try:
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parsed = json.loads(result)
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if isinstance(parsed, dict) and (
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parsed.get("status") == "waiting_confirmation"
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or (parsed.get("job_id") and "total_rows" in parsed)
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):
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return parsed
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if isinstance(parsed, dict) and parsed.get("status") in ("finished", "warning"):
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return parsed
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except (json.JSONDecodeError, TypeError):
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pass
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# Si el resultado tiene forma de escaneo (waiting_confirmation), devolverlo para que el front muestre el modal
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if isinstance(result, dict) and (
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result.get("status") == "waiting_confirmation"
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or (result.get("job_id") and "total_rows" in result)
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):
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return result
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logger.warning("Classes import task %s failed: state=%s", job_id, task_result.state)
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err_msg = None
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tb = getattr(task_result, "traceback", None)
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if tb and isinstance(tb, str):
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lines = [l.strip() for l in tb.strip().split("\n") if l.strip()]
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if lines:
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err_msg = lines[-1]
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if not err_msg:
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try:
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exc = task_result.get(propagate=False)
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if exc is not None:
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err_msg = str(exc)
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except Exception:
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pass
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if not err_msg and result is not None:
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if not isinstance(result, dict):
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err_msg = str(result)
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elif result.get("error") or result.get("message"):
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err_msg = result.get("error") or result.get("message")
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return {"status": "failed", "error": err_msg or "Task failed"}
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@router.post("/{job_id}/commit")
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async def commit_import_job(
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job_id: str,
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db: Session = Depends(get_core_db),
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current_user: Dict[str, Any] = Depends(get_current_user),
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):
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r = _get_redis()
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commit_id = dispatch_tracked_layouts_csv_commit(
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db=db,
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current_user=current_user,
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redis_client=r,
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meta_redis_key=f"{CLS_IMPORT_META_PREFIX}{job_id}",
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celery_task=insert_valid_rows,
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task_name="classes_insert_valid_rows",
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task_origin="a76/layouts_csv/classes/commit",
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args=[job_id],
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)
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return {
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"status": "committing",
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"message": "Inserción iniciada.",
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"commit_job_id": commit_id,
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}
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@router.get("/{job_id}/errors/scan-csv")
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async def download_scan_errors_csv(job_id: str):
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return download_scan_errors_csv_stream("cls", job_id)
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