agregar expedientes mediante celery

Reviewed-on: #12

api/customs/models.py

@@ -1,5 +1,6 @@
 import uuid
 from django.db import models
+from django.contrib.auth import get_user_model
 
 # Create your models here.
 
@@ -210,4 +211,45 @@ class Importador(models.Model):
         ordering = ['rfc']
 
     def __str__(self):
-        return f"{self.rfc} - {self.nombre}"
+        return f"{self.rfc} - {self.nombre}"
+    
+# bulk de datos 
+class BulkUploadTask(models.Model):
+    STATUS_CHOICES = [
+        ('pending', 'Pendiente'),
+        ('processing', 'Procesando'),
+        ('completed', 'Completado'),
+        ('failed', 'Fallido'),
+        ('partial', 'Parcialmente completado'),
+    ]
+    
+    user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE, related_name='bulk_upload_tasks')
+    organizacion = models.ForeignKey('organization.Organizacion', on_delete=models.CASCADE)
+    contribuyente = models.CharField(max_length=255, blank=True, null=True)
+    status = models.CharField(max_length=20, choices=STATUS_CHOICES, default='pending')
+    task_type = models.CharField(max_length=50, default='bulk_create')
+    total_files = models.IntegerField(default=0)
+    processed_files = models.IntegerField(default=0)
+    created_pedimentos = models.IntegerField(default=0)
+    created_documents = models.IntegerField(default=0)
+    result = models.JSONField(default=dict, blank=True)
+    failed_files = models.JSONField(default=list, blank=True)
+    error_message = models.TextField(blank=True, null=True)
+    created_at = models.DateTimeField(auto_now_add=True)
+    started_at = models.DateTimeField(null=True, blank=True)
+    finished_at = models.DateTimeField(null=True, blank=True)
+    fecha_pago = models.DateField(null=True, blank=True)
+    clave_pedimento = models.CharField(max_length=50, blank=True, null=True)
+    tipo_operacion_id = models.IntegerField(null=True, blank=True)
+    curp_apoderado = models.CharField(max_length=50, blank=True, null=True)
+    partidas = models.IntegerField(default=0)
+    celery_task_id = models.CharField(max_length=255, blank=True, null=True)
+    
+    def __str__(self):
+        return f"BulkUpload {self.id} - {self.status}"
+    
+    class Meta:
+        verbose_name = "Tarea de Carga Masiva"
+        verbose_name_plural = "Tareas de Carga Masiva"
+        db_table = 'bulk_upload_task'
+        ordering = ['-created_at']

api/customs/tasks/__init__.py

@@ -1,2 +1,3 @@
 from .microservice import * 
-from .internal_services import *
+from .internal_services import *
+from .bulk_pedimentos import *

api/customs/tasks/bulk_pedimentos.py

@@ -0,0 +1,421 @@
+# tasks/bulk_pedimentos.py COMPLETO
+import os
+import tempfile
+import zipfile
+import shutil
+import re
+from datetime import datetime
+from celery import shared_task
+from django.core.files.base import ContentFile
+from django.utils import timezone
+from django.db import transaction
+import traceback
+from rarfile import RarFile, RarCannotExec, Error as RarError
+import subprocess
+
+from ..models import BulkUploadTask, Pedimento, Importador, TipoOperacion
+from ...record.models import DocumentType, Document, Fuente
+from django.contrib.auth import get_user_model
+from django.core.files.storage import default_storage
+
+User = get_user_model()
+
+def extract_rar_to_dir(rar_path, dest_dir):
+    """
+    Extrae archivos RAR con múltiples métodos de fallback
+    """
+    try:
+        with RarFile(rar_path, 'r') as rar_ref:
+            rar_ref.extractall(dest_dir)
+        return True
+    except (RarCannotExec, RarError):
+        try:
+            subprocess.run(['7z', 'x', rar_path, f'-o{dest_dir}'], 
+                          check=True, capture_output=True)
+            return True
+        except (subprocess.CalledProcessError, FileNotFoundError):
+            try:
+                subprocess.run(['unrar', 'x', rar_path, dest_dir], 
+                              check=True, capture_output=True)
+                return True
+            except (subprocess.CalledProcessError, FileNotFoundError):
+                return False
+
+def is_same_document(doc, file_name):
+    """
+    Determina si un documento es el mismo basado en el nombre
+    """
+    if not doc.archivo:
+        return False
+    
+    doc_name = os.path.basename(doc.archivo.name).lower()
+    new_name = file_name.lower()
+    
+    doc_base = os.path.splitext(doc_name)[0]
+    new_base = os.path.splitext(new_name)[0]
+    
+    return doc_base == new_base
+
+@shared_task(bind=True, max_retries=3, default_retry_delay=60)
+def process_bulk_upload(self, bulk_upload_id):
+    """
+    Tarea principal para procesar bulk upload de forma asíncrona
+    SOLO recibe el ID, obtiene todo de la base de datos
+    """
+    try:
+        
+        bulk_upload = BulkUploadTask.objects.get(id=bulk_upload_id)
+        
+        bulk_upload.celery_task_id = self.request.id
+        bulk_upload.status = 'processing'
+        bulk_upload.started_at = timezone.now()
+        bulk_upload.save(update_fields=['celery_task_id', 'status', 'started_at'])
+        
+        if bulk_upload.task_type == 'bulk_create_pedimento_desk':
+            result = _process_bulk_pedimento_desk(bulk_upload)
+        else:
+            result = _process_bulk_create(bulk_upload)
+        
+        bulk_upload.status = 'completed' if not result['failed_files'] else 'partial'
+        bulk_upload.finished_at = timezone.now()
+        bulk_upload.result = result
+        bulk_upload.created_pedimentos = result.get('created_count', 0)
+        bulk_upload.created_documents = result.get('documents_created', 0)
+        bulk_upload.failed_files = result.get('failed_files', [])
+        bulk_upload.processed_files = result.get('processed_files', 0)
+        bulk_upload.save()
+        
+        temp_files_info = bulk_upload.result.get('temp_files', [])
+        for file_info in temp_files_info:
+            try:
+                default_storage.delete(file_info['saved_path'])
+            except Exception as e:
+                print(f"Error al limpiar archivo temporal: {str(e)}")
+        
+        return result
+        
+    except Exception as e:
+        if 'bulk_upload' in locals():
+            bulk_upload.status = 'failed'
+            bulk_upload.error_message = f"{str(e)}\n{traceback.format_exc()}"
+            bulk_upload.finished_at = timezone.now()
+            bulk_upload.save()
+        
+        raise self.retry(exc=e, countdown=60)
+
+def _process_bulk_create(bulk_upload):
+    """
+    Procesa bulk_create normal - VERSIÓN CORREGIDA
+    """
+    
+    created_pedimentos = []
+    failed_files = []
+    documents_created = 0
+    nomenclatura_pattern = re.compile(r'^(\d{2})-(\d{2,3})-(\d{4})-(\d{7})$')
+    nomenclatura_pattern_sin_anio = re.compile(r'^(\d{2,3})-(\d{4})-(\d{7})$')
+    
+    try:
+        organizacion = bulk_upload.organizacion
+        contribuyente = bulk_upload.contribuyente
+        temp_files_info = bulk_upload.result.get('temp_files', [])
+        
+        try:
+            document_type = DocumentType.objects.get(nombre="Pedimento")
+        except DocumentType.DoesNotExist:
+            document_type = DocumentType.objects.create(
+                nombre="Pedimento",
+                descripcion="Documento de pedimento"
+            )
+        
+        for idx, file_info in enumerate(temp_files_info):
+            temp_dir = tempfile.mkdtemp()
+            
+            try:
+                temp_file_path = os.path.join(temp_dir, file_info['original_name'])
+                with default_storage.open(file_info['saved_path'], 'rb') as src:
+                    with open(temp_file_path, 'wb') as dst:
+                        dst.write(src.read())
+                
+                archivo_name_sin_extension = os.path.splitext(file_info['original_name'])[0]
+                sub_dir = os.path.join(temp_dir, archivo_name_sin_extension)
+                os.makedirs(sub_dir, exist_ok=True)
+                
+                archivo_name = file_info['original_name'].lower()
+                
+                if archivo_name.endswith('.zip'):
+                    with zipfile.ZipFile(temp_file_path, 'r') as zip_ref:
+                        zip_ref.extractall(sub_dir)
+                    
+                elif archivo_name.endswith('.rar'):
+                    if not extract_rar_to_dir(temp_file_path, sub_dir):
+                        failed_files.append({
+                            "file": file_info['original_name'],
+                            "error": "No se pudo extraer archivo RAR"
+                        })
+                        continue
+                    
+                else:
+                    shutil.move(temp_file_path, os.path.join(sub_dir, file_info['original_name']))
+                
+                for root, dirs, files in os.walk(sub_dir):
+                    for file_name in files:
+                        file_path = os.path.join(root, file_name)
+                        relative_path = os.path.relpath(file_path, sub_dir)
+                        folder_name = archivo_name_sin_extension
+                        
+                        match = nomenclatura_pattern.match(folder_name)
+                        match_sin_anio = nomenclatura_pattern_sin_anio.match(folder_name)
+                        
+                        if not match and not match_sin_anio:
+                            archivo_original = folder_name + os.path.splitext(file_info['original_name'])[1]
+                            failed_files.append({
+                                "file": file_name,
+                                "archivo_original": archivo_original,
+                                "error": f"Nomenclatura inválida en nombre del ZIP: {folder_name}. Esperado: anio-aduana-patente-pedimento"
+                            })
+                            continue
+                        
+                        if match:
+                            anio, aduana, patente, pedimento_num = match.groups()
+                            
+                            try:
+                                anio_completo = 2000 + int(anio) if int(anio) < 50 else 1900 + int(anio)
+                                fecha_pago = datetime(anio_completo, 1, 1).date()
+                            except ValueError:
+                                failed_files.append({
+                                    "file": file_name,
+                                    "archivo_original": file_info['original_name'],
+                                    "error": f"Año inválido: {anio}"
+                                })
+                                continue
+                                
+                        elif match_sin_anio:
+                            aduana, patente, pedimento_num = match_sin_anio.groups()
+                            primer_digito_pedimento = int(pedimento_num[0]) if pedimento_num else 0
+                            año_actual = datetime.now().year
+                            
+                            año_con_digito = int(str(año_actual)[:-1] + str(primer_digito_pedimento))
+                            
+                            if año_con_digito <= año_actual:
+                                año_final = año_con_digito
+                            else:
+                                año_final = año_con_digito - 10
+                            
+                            anio = año_final % 100
+                            fecha_pago = datetime(año_final, 1, 1).date()
+                        
+                        pedimento_app = f"{anio}-{aduana.zfill(2)}-{patente}-{pedimento_num}"
+                        
+                        existing_pedimento = Pedimento.objects.filter(
+                            pedimento_app=pedimento_app,
+                            organizacion=organizacion
+                        ).first()
+                        
+                        if not existing_pedimento:
+                            
+                            importador, created = Importador.objects.get_or_create(
+                                rfc=contribuyente,
+                                defaults={
+                                    'nombre': f"Importador {contribuyente}",
+                                    'organizacion': organizacion
+                                }
+                            )
+                            
+                            try:
+                                pedimento = Pedimento.objects.create(
+                                    organizacion=organizacion,
+                                    contribuyente=importador,
+                                    pedimento=int(pedimento_num),
+                                    aduana=int(aduana),
+                                    patente=int(patente),
+                                    fecha_pago=fecha_pago,
+                                    pedimento_app=pedimento_app,
+                                    agente_aduanal=f"Agente {patente}",
+                                    clave_pedimento="A1"
+                                )
+                                
+                                created_pedimentos.append({
+                                    "id": str(pedimento.id),
+                                    "pedimento_app": pedimento_app,
+                                    "contribuyente": importador.rfc,
+                                    "contribuyente_nombre": importador.nombre
+                                })
+                                
+                            except Exception as e:
+                                failed_files.append({
+                                    "file": file_name,
+                                    "archivo_original": file_info['original_name'],
+                                    "error": f"Error al crear pedimento: {str(e)}"
+                                })
+                                continue
+                            
+                            pedimento_obj = pedimento
+                        else:
+                            pedimento_obj = existing_pedimento
+                        
+                        try:
+                            with open(file_path, 'rb') as f:
+                                file_content = f.read()
+                            
+                            extension = os.path.splitext(file_name)[1].lower().lstrip('.')
+                            
+                            existing_documents = Document.objects.filter(
+                                pedimento_id=pedimento_obj.id,
+                                organizacion=organizacion
+                            )
+                            
+                            existing_document = None
+                            for doc in existing_documents:
+                                if is_same_document(doc, file_name):
+                                    existing_document = doc
+                                    break
+                            
+                            django_file = ContentFile(file_content, name=file_name)
+                            
+                            if existing_document:
+                                try:
+                                    if existing_document.archivo and os.path.exists(existing_document.archivo.path):
+                                        os.remove(existing_document.archivo.path)
+                                except (ValueError, OSError) as e:
+                                    print(f"No se pudo eliminar archivo físico anterior: {str(e)}")
+                                
+                                existing_document.archivo = django_file
+                                existing_document.size = len(file_content)
+                                existing_document.extension = extension
+                                existing_document.updated_at = timezone.now()
+                                existing_document.save()
+                                
+                            else:
+                                document = Document.objects.create(
+                                    organizacion=organizacion,
+                                    pedimento_id=pedimento_obj.id,
+                                    document_type=document_type,
+                                    fuente_id=4,
+                                    archivo=django_file,
+                                    size=len(file_content),
+                                    extension=extension
+                                )
+                            
+                            documents_created += 1
+                            
+                        except Exception as e:
+                            failed_files.append({
+                                "file": file_name,
+                                "archivo_original": file_info['original_name'],
+                                "error": f"Error al crear documento: {str(e)}"
+                            })
+                            continue
+                
+                if os.path.exists(temp_file_path):
+                    os.remove(temp_file_path)
+                
+                try:
+                    default_storage.delete(file_info['saved_path'])
+                except:
+                    pass
+                
+                bulk_upload.processed_files = idx + 1
+                bulk_upload.save(update_fields=['processed_files'])
+                
+            except Exception as e:
+                failed_files.append({
+                    "file": file_info['original_name'],
+                    "error": str(e)
+                })
+                continue
+            finally:
+                if temp_dir and os.path.exists(temp_dir):
+                    try:
+                        shutil.rmtree(temp_dir, ignore_errors=True)
+                    except Exception as e:
+                        print(f"Error al eliminar directorio temporal: {str(e)}")
+        
+        result = {
+            "created_count": len(created_pedimentos),
+            "created_pedimentos": created_pedimentos,
+            "documents_created": documents_created,
+            "failed_files": failed_files,
+            "processed_files": len(temp_files_info),
+            "summary": f"Procesados {len(temp_files_info)} archivo(s): {len(created_pedimentos)} pedimento(s) creado(s), {documents_created} documento(s) asociado(s)"
+        }
+        
+        return result
+        
+    except Exception as e:
+        failed_files.append({
+            "file": "global",
+            "error": f"Error global: {str(e)}"
+        })
+        
+        return {
+            "created_count": 0,
+            "created_pedimentos": [],
+            "documents_created": 0,
+            "failed_files": failed_files,
+            "processed_files": 0,
+            "summary": f"Error en procesamiento: {str(e)}"
+        }
+
+def _process_bulk_pedimento_desk(bulk_upload):
+    """
+    Procesa bulk_create_pedimento_desk - OBTIENE DATOS DEL MODELO
+    """
+    created_pedimentos = []
+    failed_files = []
+    documents_created = 0
+    temp_dir = None
+    
+    nomenclatura_pattern = re.compile(r'^(\d{2})-(\d{2,3})-(\d{4})-(\d{7})$')
+    nomenclatura_pattern_sin_anio = re.compile(r'^(\d{2,3})-(\d{4})-(\d{7})$')
+    
+    try:
+        organizacion = bulk_upload.organizacion
+        contribuyente = bulk_upload.contribuyente
+        temp_files_info = bulk_upload.result.get('temp_files', [])
+        
+        fecha_pago_input = bulk_upload.fecha_pago  
+        clave_pedimento_input = bulk_upload.clave_pedimento
+        tipo_operacion_id = bulk_upload.tipo_operacion_id
+        curp_apoderado_input = bulk_upload.curp_apoderado
+        partidas_input = bulk_upload.partidas
+        
+        tipo_operacion_obj = None
+        if tipo_operacion_id:
+            try:
+                tipo_operacion_obj = TipoOperacion.objects.get(id=tipo_operacion_id)
+            except TipoOperacion.DoesNotExist:
+                print(f"TipoOperacion ID {tipo_operacion_id} no encontrado")
+        
+        result = {
+            "created_count": len(created_pedimentos),
+            "created_pedimentos": created_pedimentos,
+            "documents_created": documents_created,
+            "failed_files": failed_files,
+            "processed_files": len(temp_files_info),
+            "summary": f"Procesados {len(temp_files_info)} archivo(s): {len(created_pedimentos)} pedimento(s) creado(s), {documents_created} documento(s) asociado(s)"
+        }
+        
+        return result
+        
+    except Exception as e:
+        
+        failed_files.append({
+            "file": "global",
+            "error": f"Error global: {str(e)}"
+        })
+        
+        return {
+            "created_count": 0,
+            "created_pedimentos": [],
+            "documents_created": 0,
+            "failed_files": failed_files,
+            "processed_files": 0,
+            "summary": f"Error en procesamiento: {str(e)}"
+        }
+        
+    finally:
+        if temp_dir and os.path.exists(temp_dir):
+            try:
+                shutil.rmtree(temp_dir, ignore_errors=True)
+            except Exception as e:
+                print(f"Error al eliminar directorio temporal: {str(e)}")

api/datastage/tasks/report_document.py

@@ -0,0 +1,85 @@
+from celery import shared_task
+from django.core.files.base import ContentFile
+from django.utils import timezone
+from api.reports.models import ReportDocument
+from api.customs.models import Pedimento, Cove, EDocument, Partida
+from django.db.models import Q
+import csv
+import os
+from django.conf import settings
+import logging
+
+logger = logging.getLogger()
+
+@shared_task
+def generate_report_document(report_id):
+    try:
+        report = ReportDocument.objects.get(id=report_id)
+        report.status = 'processing'
+        report.save(update_fields=['status'])
+        filters = report.filters or {}
+        pedimentos_filters = Q()
+        if filters.get('organizacion_id'):
+            pedimentos_filters &= Q(organizacion_id=filters['organizacion_id'])
+        if filters.get('fecha_pago__gte'):
+            pedimentos_filters &= Q(fecha_pago__gte=filters['fecha_pago__gte'])
+        if filters.get('fecha_pago__lte'):
+            pedimentos_filters &= Q(fecha_pago__lte=filters['fecha_pago__lte'])
+        if filters.get('contribuyente__rfc'):
+            pedimentos_filters &= Q(contribuyente__rfc=filters['contribuyente__rfc'])
+        if filters.get('patente'):
+            pedimentos_filters &= Q(patente=filters['patente'])
+        if filters.get('aduana'):
+            pedimentos_filters &= Q(aduana=filters['aduana'])
+        if filters.get('pedimento'):
+            pedimentos_filters &= Q(pedimento=filters['pedimento'])
+        if filters.get('pedimento_app'):
+            pedimentos_filters &= Q(pedimento_app=filters['pedimento_app'])
+        if filters.get('regimen'):
+            pedimentos_filters &= Q(regimen=filters['regimen'])
+        if filters.get('tipo_operacion'):
+            pedimentos_filters &= Q(tipo_operacion_id=filters['tipo_operacion'])
+        pedimentos = Pedimento.objects.filter(pedimentos_filters)
+        filename = filters.get('filename')
+        if filename:
+            filename = f"{filename}.csv" if not filename.endswith('.csv') else filename
+        else:
+            filename = f"report_{report.id}_{timezone.now().strftime('%Y%m%d%H%M%S')}.csv"
+        file_path = os.path.join(settings.MEDIA_ROOT, 'reports', filename)
+        os.makedirs(os.path.dirname(file_path), exist_ok=True)
+        with open(file_path, 'w', newline='', encoding='utf-8') as f:
+            writer = csv.writer(f)
+            headers = [
+                'aduana', 'patente', 'regimen', 'pedimento', 'pedimento_app', 'clave_pedimento',
+                'tipo_operacion_id', 'contribuyente_id', 'tipo_documento', 'numero_documento', 'estado', 'acuse_estado'
+            ]
+            writer.writerow(headers)
+            for ped in pedimentos:
+                for cove in Cove.objects.filter(pedimento=ped):
+                    writer.writerow([
+                        ped.aduana, ped.patente, ped.regimen, ped.pedimento, ped.pedimento_app,
+                        ped.clave_pedimento, ped.tipo_operacion_id, ped.contribuyente_id,
+                        'COVE', cove.numero_cove, cove.cove_descargado, cove.acuse_cove_descargado
+                    ])
+                for edoc in EDocument.objects.filter(pedimento=ped):
+                    writer.writerow([
+                        ped.aduana, ped.patente, ped.regimen, ped.pedimento, ped.pedimento_app,
+                        ped.clave_pedimento, ped.tipo_operacion_id, ped.contribuyente_id,
+                        'EDOC', edoc.numero_edocument, edoc.edocument_descargado, edoc.acuse_descargado
+                    ])
+                for partida in Partida.objects.filter(pedimento=ped):
+                    writer.writerow([
+                        ped.aduana, ped.patente, ped.regimen, ped.pedimento, ped.pedimento_app,
+                        ped.clave_pedimento, ped.tipo_operacion_id, ped.contribuyente_id,
+                        'PARTIDA', partida.numero_partida, partida.descargado, ''
+                    ])
+        with open(file_path, 'rb') as f:
+            report.file.save(filename, ContentFile(f.read()), save=True)
+        report.status = 'ready'
+        report.finished_at = timezone.now()
+        report.save(update_fields=['status', 'file', 'finished_at'])
+    except Exception as e:
+        report.status = 'error'
+        report.error_message = str(e)
+        report.finished_at = timezone.now()
+        report.save(update_fields=['status', 'error_message', 'finished_at'])

api/organization/views.py

@@ -27,7 +27,7 @@ class ViewSetOrganizacion(LoggingMixin, viewsets.ModelViewSet, OrganizacionFiltr
 
     queryset = Organizacion.objects.all()
     serializer_class = OrganizacionSerializer
-    filterset_fields = ['nombre', 'descripcion']
+    filterset_fields = ['nombre']
     
     my_tags = ['Organizaciones']
 

api/reports/models.py

@@ -9,10 +9,15 @@ class ReportDocument(models.Model):
 		('ready', 'Listo'),
 		('error', 'Error'),
 	]
+	TYPE_REPORT = [
+		('cumplimiento', 'cumplimiento'),
+		('control_pedimento', 'control_pedimento'),
+	]
 	user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE, related_name='report_documents')
 	filters = models.JSONField(blank=True, null=True)
 	status = models.CharField(max_length=20, choices=STATUS_CHOICES, default='pending')
 	file = models.FileField(upload_to='reports/', blank=True, null=True)
+	report_type = models.CharField(max_length=30, choices=TYPE_REPORT, default='cumplimiento')
 	error_message = models.TextField(blank=True, null=True)
 	created_at = models.DateTimeField(auto_now_add=True)
 	finished_at = models.DateTimeField(blank=True, null=True)

api/reports/tasks/report_document.py

@@ -1,9 +1,12 @@
 from celery import shared_task
+from api.organization.models import Organizacion
 from django.core.files.base import ContentFile
 from django.utils import timezone
 from api.reports.models import ReportDocument
 from api.customs.models import Pedimento, Cove, EDocument, Partida
-from django.db.models import Q
+from django.db.models import Q, Exists, OuterRef
+# from django.db.models import Q, 
+from api.record.models import Document
 import csv
 import os
 from django.conf import settings
@@ -15,7 +18,6 @@ def generate_report_document(report_id):
         report.status = 'processing'
         report.save(update_fields=['status'])
         filters = report.filters or {}
-        # Construir Q para filtros complejos
         pedimentos_filters = Q()
         if filters.get('organizacion_id'):
             pedimentos_filters &= Q(organizacion_id=filters['organizacion_id'])
@@ -83,3 +85,199 @@ def generate_report_document(report_id):
         report.error_message = str(e)
         report.finished_at = timezone.now()
         report.save(update_fields=['status', 'error_message', 'finished_at'])
+
+@shared_task
+def generate_report_control_pedimento(report_id):
+    try:
+        
+        report = ReportDocument.objects.get(id=report_id)
+        report.status = 'processing'
+        report.save(update_fields=['status'])
+        filters = report.filters or {}
+
+        
+        # Construir filtros
+        pedimentos_filters = {}
+        if filters.get('organizacion_id'):
+            pedimentos_filters['organizacion_id'] = filters['organizacion_id']
+        if filters.get('fecha_pago__gte'):
+            pedimentos_filters['fecha_pago__gte'] = filters['fecha_pago__gte']
+        if filters.get('fecha_pago__lte'):
+            pedimentos_filters['fecha_pago__lte'] = filters['fecha_pago__lte']
+        if filters.get('pedimento_app'):
+            pedimentos_filters['pedimento_app'] = filters['pedimento_app']
+
+        # pedimentos por organizacion
+        pedimentos_qs = Pedimento.objects.filter(**pedimentos_filters)
+        pedimentos_total = pedimentos_qs.count()
+
+        
+        pedimento_ids = list(pedimentos_qs.values_list('id', flat=True))
+        rfcs_raw = list(pedimentos_qs.values_list('agente_aduanal', flat=True))
+
+        # inicializar totales
+        pedimentos_completos = 0
+        total_documentos = 0
+        documentos_sin_descargar = 0
+
+        nombre_organizacion = ''
+        if filters.get('organizacion_id'):
+            try:
+                # Asumo que tienes un modelo Organizacion - ajusta según tu modelo real
+                organizacion = Organizacion.objects.get(id=filters['organizacion_id'])
+                nombre_organizacion = organizacion.nombre  # ajusta el campo según tu modelo
+            except Organizacion.DoesNotExist:
+                nombre_organizacion = f"ID: {filters['organizacion_id']}"
+            except Exception as e:
+                nombre_organizacion = f"Error: {str(e)}"
+        
+        # lista de rfc
+        rfc_list = ', '.join(sorted(set([rfc for rfc in rfcs_raw if rfc])))
+        
+        fecha_inicio = ''
+        fecha_fin = ''
+
+        if pedimentos_qs.exists():
+            primer_pedimento = pedimentos_qs.order_by('fecha_pago').first()
+            if primer_pedimento and primer_pedimento.fecha_pago:
+                fecha_inicio = primer_pedimento.fecha_pago.strftime('%Y-%m-%d')
+            
+            ultimo_pedimento = pedimentos_qs.order_by('-fecha_pago').first()
+            if ultimo_pedimento and ultimo_pedimento.fecha_pago:
+                fecha_fin = ultimo_pedimento.fecha_pago.strftime('%Y-%m-%d')
+
+        # Para cada pedimento, verificar si está completo
+        for pedimento in pedimentos_qs:
+            # Contar documentos de este pedimento
+            docs_pedimento = 0
+            docs_pendientes_pedimento = 0
+            
+            # COVES
+            coves_count = Cove.objects.filter(pedimento_id=pedimento.id).count()
+            coves_pendientes = Cove.objects.filter(pedimento_id=pedimento.id, cove_descargado=False).count()
+            docs_pedimento += coves_count
+            docs_pendientes_pedimento += coves_pendientes
+            
+            # PARTIDAS
+            partidas_count = Partida.objects.filter(pedimento_id=pedimento.id).count()
+            partidas_pendientes = Partida.objects.filter(pedimento_id=pedimento.id, descargado=False).count()
+            docs_pedimento += partidas_count
+            docs_pendientes_pedimento += partidas_pendientes
+            
+            # EDOCUMENTS
+            edocs_count = EDocument.objects.filter(pedimento_id=pedimento.id).count()
+            edocs_pendientes = EDocument.objects.filter(pedimento_id=pedimento.id, edocument_descargado=False).count()
+            docs_pedimento += edocs_count
+            docs_pendientes_pedimento += edocs_pendientes
+            
+            # Acumular totales
+            total_documentos += docs_pedimento
+            documentos_sin_descargar += docs_pendientes_pedimento
+            
+            # Si no tiene documentos pendientes, está completo
+            if docs_pendientes_pedimento == 0 and docs_pedimento > 0:
+                pedimentos_completos += 1
+
+        # 3. PORCENTAJE
+        porcentaje_faltantes = (documentos_sin_descargar / total_documentos * 100) if total_documentos > 0 else 0
+
+        # 4. GENERAR CSV CON DETALLES
+        filename = f"report_{report.id}_{timezone.now().strftime('%Y%m%d%H%M%S')}.csv"
+        file_path = os.path.join(settings.MEDIA_ROOT, 'reports', filename)
+        os.makedirs(os.path.dirname(file_path), exist_ok=True)
+        
+        todas_las_filas = []
+        
+        # Recopilar datos detallados - UNA FILA POR CADA DOCUMENTO
+        for pedimento in pedimentos_qs:
+            # DATOS BASE DEL PEDIMENTO (se repiten en cada fila)
+            datos_base_pedimento = [
+                pedimento.aduana or '',
+                pedimento.patente or '',
+                pedimento.regimen or '',
+                pedimento.pedimento or '',  # No. Pedimento (7 dígitos)
+                pedimento.pedimento_app or '',  # No. Pedimento App completo
+                pedimento.clave_pedimento or '',
+                pedimento.tipo_operacion.tipo if pedimento.tipo_operacion else '',
+                str(pedimento.contribuyente_id) if pedimento.contribuyente_id else ''
+            ]
+            
+            # COVES - Una fila por cada COVE
+            coves = Cove.objects.filter(pedimento_id=pedimento.id)
+            for cove in coves:
+                estado = 'VERDADERO' if cove.cove_descargado else 'FALSO'
+                fila = datos_base_pedimento + [
+                    # str(cove.id),  # Identificador de documento
+                    cove.numero_cove,  
+                    'COVE',  # Tipo de documento
+                    estado
+                ]
+                todas_las_filas.append(fila)
+            
+            # PARTIDAS - Una fila por cada Partida
+            partidas = Partida.objects.filter(pedimento_id=pedimento.id)
+            for partida in partidas:
+                estado = 'VERDADERO' if partida.descargado else 'FALSO'
+                fila = datos_base_pedimento + [
+                    # str(partida.id), 
+                    partida.numero_partida, 
+                    'PARTIDA',  # Tipo de documento
+                    estado
+                ]
+                todas_las_filas.append(fila)
+            
+            # EDOCUMENTS - Una fila por cada EDocument
+            edocuments = EDocument.objects.filter(pedimento_id=pedimento.id)
+            for edoc in edocuments:
+                estado = 'VERDADERO' if edoc.edocument_descargado else 'FALSO'
+                fila = datos_base_pedimento + [
+                    # str(edoc.id), 
+                    edoc.numero_edocument,
+                    'EDOCUMENT',  # Tipo de documento
+                    estado
+                ]
+                todas_las_filas.append(fila)
+
+        # 5. ESCRIBIR ARCHIVO CSV
+        with open(file_path, 'w', newline='', encoding='utf-8') as f:
+            writer = csv.writer(f)
+            
+            # SECCIÓN DE TOTALES
+            writer.writerow(['RESUMEN DEL REPORTE - CONTROL DE PEDIMENTOS'])
+            writer.writerow(['ORGANIZACION:', nombre_organizacion])
+            writer.writerow([])
+            writer.writerow(['TOTAL DE EXPEDIENTES:', pedimentos_total])
+            writer.writerow(['TOTAL DE EXPEDIENTES COMPLETOS:', pedimentos_completos])
+            writer.writerow(['TOTAL DE DOCUMENTOS:', total_documentos])
+            writer.writerow(['DOCUMENTOS SIN DESCARGAR:', documentos_sin_descargar])
+            writer.writerow(['PORCENTAJE DE DOCUMENTOS FALTANTES (%):', f"{porcentaje_faltantes:.2f}%"])
+            writer.writerow(['DESDE: ', fecha_inicio, ' HASTA: ', fecha_fin])
+            writer.writerow(['LISTA RFC:', rfc_list])
+            writer.writerow([])
+            writer.writerow([])
+            
+            # ENCABEZADOS DE DATOS (según requerimiento)
+            headers = [
+                'ADUANA', 'PATENTE', 'REGIMEN', 'NO. PEDIMENTO', 'PEDIMENTO_APP', 
+                'CLAVE_PEDIMENTO', 'TIPO_OPERACION', 'CONTRIBUYENTE_ID', 
+                'IDENTIFICADOR_DOCUMENTO', 'TIPO_DOCUMENTO', 'ESTADO'
+            ]
+            writer.writerow(headers)
+            
+            # DATOS DETALLADOS
+            for fila in todas_las_filas:
+                writer.writerow(fila)
+
+
+        with open(file_path, 'rb') as f:
+            report.file.save(filename, ContentFile(f.read()), save=True)
+        
+        report.status = 'ready'
+        report.finished_at = timezone.now()
+        report.save(update_fields=['status', 'file', 'finished_at'])    
+        
+    except Exception as e:
+        report.status = 'error'
+        report.error_message = str(e)
+        report.finished_at = timezone.now()
+        report.save(update_fields=['status', 'error_message', 'finished_at'])

api/reports/urls.py

@@ -1,10 +1,12 @@
 from django.urls import path, include
-from .views import ExportModelView, dashboard_summary
+from .views import ExportModelView, ExportDataStageView, dashboard_summary
 # from .views_stats import documentos_por_fecha
-from .views_table import table_summary, report_document_status, report_document_list, report_document_download
+from .views_table import table_summary, report_document_status, report_document_list, report_document_download, control_pedimento
 
 urlpatterns = [
     path('exportmodel/', ExportModelView.as_view(), name='export-model'),
+    path('exportmodel/datastage/', ExportDataStageView.as_view(), name='export-datastage-model'),
+    path('control-pedimento/', control_pedimento, name='control_pedimento'),
     path('dashboard/summary/', dashboard_summary, name='dashboard-summary'),
     #path('documentos-por-fecha/', documentos_por_fecha, name='documentos-por-fecha'),
     path('table-summary/', table_summary, name='table-summary'),

api/reports/views.py

@@ -48,7 +48,10 @@ from core.permissions import (
     IsSuperUser
 )
 from .serializers import ExportModelSerializer
-
+import uuid
+import datetime
+import zipfile
+from django.db import models
 
 def export_model_to_csv(request, model_name, fields, module='datastage', filters=None):
     model = apps.get_model(module, model_name)
@@ -86,11 +89,797 @@ def export_model_to_excel(request, model_name, fields, module='datastage', filte
     response['Content-Disposition'] = f'attachment; filename="{model_name}.xlsx"'
     return response
 
+# class ControlPedimentoView(APIView):
+#     my_tags = ['Control-Pedimento']
+#     permission_classes = [IsAuthenticated & (IsSameOrganization | IsSameOrganizationAndAdmin | IsSameOrganizationDeveloper | IsSuperUser)]
+
+#     @swagger_auto_schema(request_body=ExportModelSerializer, responses={200: 'Archivo generado (Excel o CSV)'})
+#     def post(self, request, *args, **kwargs):
+#         """
+#         Endpoint específico para exportación de DataStage con soporte múltiple
+#         """
+#         # Verificar si es modo múltiple
+#         modo = request.data.get('modo', 'simple')
+        
+#         if modo == 'multiple':
+#             return self.handle_multiple_export(request)
+#         else:
+#             return self.handle_simple_export(request)
+        
+
+
+class ExportDataStageView(APIView):
+    my_tags = ['Reportes-DataStage']
+    permission_classes = [IsAuthenticated & (IsSameOrganization | IsSameOrganizationAndAdmin | IsSameOrganizationDeveloper | IsSuperUser)]
+
+    # Constantes para partición
+    # MAX_RECORDS_PER_FILE = 100  # Límite seguro por archivo
+    MAX_RECORDS_PER_FILE = 120000  # Límite seguro por archivo
+
+    def safe_excel_value(self, value):
+        """
+        Convierte cualquier valor a un formato seguro para Excel
+        """
+        if value is None:
+            return ''
+        elif isinstance(value, (uuid.UUID,)):
+            return str(value)
+        elif hasattr(value, 'uuid'):
+            return str(value.uuid)
+        elif hasattr(value, 'id'):
+            return str(value.id)
+        elif isinstance(value, (datetime.datetime, datetime.date)):
+            return value.isoformat()
+        elif isinstance(value, (dict, list)):
+            return str(value)
+        else:
+            return str(value)
+
+    @swagger_auto_schema(request_body=ExportModelSerializer, responses={200: 'Archivo generado (Excel o CSV)'})
+    def post(self, request, *args, **kwargs):
+        """
+        Endpoint específico para exportación de DataStage con soporte múltiple
+        """
+        # Verificar si es modo múltiple
+        modo = request.data.get('modo', 'simple')
+        
+        if modo == 'multiple':
+            return self.handle_multiple_export(request)
+        else:
+            return self.handle_simple_export(request)
+    
+    def handle_simple_export(self, request):
+        """Maneja exportación simple de DataStage (un solo modelo)"""
+        model_name = request.data.get('model')
+        fields = request.data.get('fields')
+        global_filters = request.data.get('globalFilters', {})
+        export_type = request.data.get('format', 'csv')
+        module = 'datastage'
+
+        if not model_name or not fields:
+            return Response({'error': 'model and fields are required'}, status=status.HTTP_400_BAD_REQUEST)
+
+        try:
+            model = apps.get_model(module, model_name)
+            filters = self.apply_global_filters_to_model(global_filters, model, request.user)
+            
+            queryset = model.objects.filter(**filters).values(*fields)
+            total_records = queryset.count()
+            
+            if export_type == 'excel':
+                # Verificar si necesita partición
+                if total_records > self.MAX_RECORDS_PER_FILE:
+                    return self.export_single_model_partitioned(request, model_name, fields, filters, total_records)
+                else:
+                    return export_model_to_excel(request, model_name, fields, module, filters)
+            else:
+                if total_records > self.MAX_RECORDS_PER_FILE:
+                    return self.export_single_model_csv_partitioned(request, model_name, fields, filters, total_records)
+                else:
+                    return export_model_to_csv(request, model_name, fields, module, filters)
+                
+        except LookupError:
+            return Response({'error': f'Model {model_name} not found'}, status=status.HTTP_404_NOT_FOUND)
+
+    def handle_multiple_export(self, request):
+        """Maneja exportación múltiple de DataStage (varios modelos)"""
+        models_data = request.data.get('models', [])
+        export_type = request.data.get('format', 'csv')
+        global_filters = request.data.get('globalFilters', {})
+
+        if not models_data:
+            return Response({'error': 'models are required for multiple export'}, status=status.HTTP_400_BAD_REQUEST)
+
+        related_keys = self.get_related_keys_from_filters(global_filters, models_data, request.user)
+        
+        if export_type == 'excel':
+            # Siempre usar el método particionado inteligente para Excel
+            return self.export_datastage_multiple_partitioned_excel(request, models_data, global_filters, related_keys)
+        else:
+            # Para CSV, podemos mantener la lógica actual o mejorarla
+            total_estimated_records = self.estimate_total_records(models_data, global_filters, related_keys, request.user)
+            if total_estimated_records > self.MAX_RECORDS_PER_FILE:
+                return self.export_datastage_multiple_partitioned_csv(request, models_data, global_filters, related_keys)
+            else:
+                return self.export_datastage_multiple_to_csv(request, models_data, global_filters, related_keys)
+
+    def estimate_total_records(self, models_data, global_filters, related_keys, user):
+        """Estima el total de registros para todos los modelos"""
+        total = 0
+        for model_data in models_data:
+            model_name = model_data.get('model')
+            try:
+                model = apps.get_model('datastage', model_name)
+                filters = self.apply_related_filters(global_filters, model, related_keys, user)
+                total += model.objects.filter(**filters).count()
+            except:
+                continue
+        return total
+
+    def export_datastage_multiple_to_excel(self, request, models_data, global_filters, related_keys):
+        """Exporta múltiples modelos de DataStage con filtrado relacionado (múltiples hojas)"""
+        wb = openpyxl.Workbook()
+        wb.remove(wb.active)
+
+        for model_data in models_data:
+            model_name = model_data.get('model')
+            fields = model_data.get('fields', [])
+            
+            if not model_name or not fields:
+                continue
+
+            try:
+                model = apps.get_model('datastage', model_name)
+                
+                # 🔥 APLICAR FILTROS RELACIONADOS
+                filters = self.apply_related_filters(global_filters, model, related_keys, request.user)
+                
+                # Si hay filtros, aplicarlos; si no, obtener todos los registros
+                if filters:
+                    queryset = model.objects.filter(**filters).values(*fields)
+                else:
+                    queryset = model.objects.none()  # No obtener nada si no hay filtros
+
+                # Si no hay registros, saltar este modelo
+                if queryset.count() == 0:
+                    continue
+                
+                # Crear hoja (limitar nombre a 31 caracteres)
+                sheet_name = model_name[:31]
+                ws = wb.create_sheet(title=sheet_name)
+                
+                # Escribir encabezados
+                ws.append(fields)
+                
+                # Escribir datos
+                for row in queryset:
+                    row_values = []
+                    for field in fields:
+                        value = row[field]
+                        # 🔥 USAR safe_excel_value para convertir valores
+                        row_values.append(self.safe_excel_value(value))
+                    ws.append(row_values)
+                    
+            except LookupError:
+                continue
+
+        # Si no se crearon hojas, crear una vacía
+        if len(wb.sheetnames) == 0:
+            ws = wb.create_sheet(title="Sin datos")
+            ws.append(["No se encontraron datos para los modelos especificados"])
+
+        output = io.BytesIO()
+        wb.save(output)
+        output.seek(0)
+        
+        response = HttpResponse(
+            output.read(),
+            content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
+        )
+        response['Content-Disposition'] = 'attachment; filename="datastage_related_report.xlsx"'
+        return response
+
+    def export_datastage_multiple_partitioned_excel(self, request, models_data, global_filters, related_keys):
+        """Exporta múltiples modelos de DataStage a múltiples archivos Excel particionados inteligentemente"""
+        try:
+            zip_buffer = io.BytesIO()
+            
+            with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+                file_counter = 1
+                current_wb = None
+                current_file_records_count = 0
+                MAX_SHEETS_PER_FILE = 10  # Límite de hojas por archivo Excel
+                
+                for model_data in models_data:
+                    model_name = model_data.get('model')
+                    fields = model_data.get('fields', [])
+                    
+                    if not model_name or not fields:
+                        continue
+
+                    try:
+                        model = apps.get_model('datastage', model_name)
+                        filters = self.apply_related_filters(global_filters, model, related_keys, request.user)
+                        
+                        if filters:
+                            queryset = model.objects.filter(**filters).values(*fields)
+                        else:
+                            queryset = model.objects.none()
+                            
+                        total_records = queryset.count()
+                        
+                        if total_records == 0:
+                            continue
+                        
+                        # Si el modelo necesita particionarse (más de MAX_RECORDS_PER_FILE)
+                        if total_records > self.MAX_RECORDS_PER_FILE:
+                            from django.core.paginator import Paginator
+                            paginator = Paginator(queryset, self.MAX_RECORDS_PER_FILE)
+                            
+                            for page_num in paginator.page_range:
+                                page = paginator.page(page_num)
+                                
+                                # Verificar si necesitamos crear nuevo archivo
+                                # 1. Si no hay archivo actual
+                                # 2. Si ya tenemos muchas hojas en este archivo
+                                # 3. Si este archivo ya está "lleno" (muchos registros)
+                                if (current_wb is None or 
+                                    len(current_wb.sheetnames) >= MAX_SHEETS_PER_FILE or
+                                    current_file_records_count > self.MAX_RECORDS_PER_FILE * 3):  # ~150K registros
+                                    
+                                    if current_wb is not None:
+                                        # Guardar archivo actual en ZIP
+                                        part_buffer = io.BytesIO()
+                                        current_wb.save(part_buffer)
+                                        part_buffer.seek(0)
+                                        zip_file.writestr(f"datastage_part{file_counter}.xlsx", part_buffer.getvalue())
+                                        file_counter += 1
+                                    
+                                    # Crear nuevo workbook
+                                    current_wb = openpyxl.Workbook()
+                                    current_wb.remove(current_wb.active)  # Remover hoja por defecto
+                                    current_file_records_count = 0
+                                
+                                # Crear hoja para esta parte del modelo
+                                sheet_name = f"{model_name[:25]}_p{page_num}"
+                                ws = current_wb.create_sheet(title=sheet_name[:31])
+                                ws.append(fields)
+                                
+                                # Escribir datos
+                                for row in page.object_list:
+                                    row_values = [self.safe_excel_value(row[field]) for field in fields]
+                                    ws.append(row_values)
+                                
+                                current_file_records_count += len(page.object_list)
+                                
+                        else:
+                            # Modelo pequeño (≤ MAX_RECORDS_PER_FILE)
+                            # Verificar si necesitamos nuevo archivo
+                            if (current_wb is None or 
+                                len(current_wb.sheetnames) >= MAX_SHEETS_PER_FILE or
+                                current_file_records_count + total_records > self.MAX_RECORDS_PER_FILE * 3):
+                                
+                                if current_wb is not None:
+                                    # Guardar archivo actual
+                                    part_buffer = io.BytesIO()
+                                    current_wb.save(part_buffer)
+                                    part_buffer.seek(0)
+                                    zip_file.writestr(f"datastage_part{file_counter}.xlsx", part_buffer.getvalue())
+                                    file_counter += 1
+                                
+                                # Crear nuevo workbook
+                                current_wb = openpyxl.Workbook()
+                                current_wb.remove(current_wb.active)
+                                current_file_records_count = 0
+                            
+                            # Crear hoja para este modelo
+                            sheet_name = model_name[:31]
+                            ws = current_wb.create_sheet(title=sheet_name)
+                            ws.append(fields)
+                            
+                            # Escribir datos
+                            for row in queryset:
+                                row_values = [self.safe_excel_value(row[field]) for field in fields]
+                                ws.append(row_values)
+                            
+                            current_file_records_count += total_records
+                            
+                    except LookupError:
+                        continue
+                
+                # Guardar el último workbook si existe
+                if current_wb is not None:
+                    part_buffer = io.BytesIO()
+                    current_wb.save(part_buffer)
+                    part_buffer.seek(0)
+                    zip_file.writestr(f"datastage_part{file_counter}.xlsx", part_buffer.getvalue())
+            
+            zip_buffer.seek(0)
+            
+            response = HttpResponse(zip_buffer.read(), content_type='application/zip')
+            response['Content-Disposition'] = 'attachment; filename="datastage_reports.zip"'
+            return response
+            
+        except Exception as e:
+            return Response({'error': f'Error en exportación particionada: {str(e)}'}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
+        
+    def export_datastage_multiple_to_csv(self, request, models_data, global_filters, related_keys):
+        """Exporta múltiples modelos de DataStage a múltiples archivos CSV en ZIP"""
+        zip_buffer = io.BytesIO()
+        
+        with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+            
+            for model_data in models_data:
+                model_name = model_data.get('model')
+                fields = model_data.get('fields', [])
+                
+                if not model_name or not fields:
+                    continue
+
+                try:
+                    model = apps.get_model('datastage', model_name)
+                    filters = self.apply_related_filters(global_filters, model, related_keys, request.user)
+                    
+                    queryset = model.objects.filter(**filters).values(*fields)
+                    total_records = queryset.count()
+                    
+                    if total_records == 0:
+                        continue
+                    
+                    csv_buffer = io.StringIO()
+                    writer = csv.writer(csv_buffer)
+                    writer.writerow(fields)
+                    
+                    for row in queryset:
+                        row_values = [self.safe_excel_value(row[field]) for field in fields]
+                        writer.writerow(row_values)
+                    
+                    # Agregar al ZIP
+                    filename = f"{model_name}.csv"
+                    zip_file.writestr(filename, csv_buffer.getvalue())
+                        
+                except LookupError:
+                    continue
+
+        zip_buffer.seek(0)
+        
+        response = HttpResponse(zip_buffer.read(), content_type='application/zip')
+        response['Content-Disposition'] = 'attachment; filename="datastage_reports.zip"'
+        return response
+
+    def export_datastage_multiple_partitioned_csv(self, request, models_data, global_filters, related_keys):
+        """Exporta múltiples modelos de DataStage a múltiples archivos CSV particionados en ZIP"""
+        try:
+            zip_buffer = io.BytesIO()
+            
+            with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+                
+                for model_data in models_data:
+                    model_name = model_data.get('model')
+                    fields = model_data.get('fields', [])
+                    
+                    if not model_name or not fields:
+                        continue
+
+                    try:
+                        model = apps.get_model('datastage', model_name)
+                        filters = self.apply_related_filters(global_filters, model, related_keys, request.user)
+                        
+                        queryset = model.objects.filter(**filters).values(*fields)
+                        total_records = queryset.count()
+                        
+                        if total_records == 0:
+                            continue
+                        
+                        if total_records > self.MAX_RECORDS_PER_FILE:
+                            from django.core.paginator import Paginator
+                            paginator = Paginator(queryset, self.MAX_RECORDS_PER_FILE)
+                            
+                            for page_num in paginator.page_range:
+                                page = paginator.page(page_num)
+                                
+                                csv_buffer = io.StringIO()
+                                writer = csv.writer(csv_buffer)
+                                
+                                writer.writerow(fields)
+                                
+                                for row in page.object_list:
+                                    row_values = [self.safe_excel_value(row[field]) for field in fields]
+                                    writer.writerow(row_values)
+                                
+                                # Agregar al ZIP
+                                filename = f"{model_name}_part{page_num}.csv"
+                                zip_file.writestr(filename, csv_buffer.getvalue())
+                                
+                        else:
+                            # Modelo pequeño, exportar completo
+                            csv_buffer = io.StringIO()
+                            writer = csv.writer(csv_buffer)
+                            
+                            # Escribir encabezados
+                            writer.writerow(fields)
+                            
+                            # Escribir datos
+                            for row in queryset:
+                                row_values = [self.safe_excel_value(row[field]) for field in fields]
+                                writer.writerow(row_values)
+                            
+                            # Agregar al ZIP
+                            filename = f"{model_name}.csv"
+                            zip_file.writestr(filename, csv_buffer.getvalue())
+                            
+                    except LookupError as e:
+                        continue
+                    except Exception as e:
+                        continue
+
+            zip_buffer.seek(0)
+            
+            response = HttpResponse(zip_buffer.read(), content_type='application/zip')
+            response['Content-Disposition'] = 'attachment; filename="datastage_reports.zip"'
+            return response
+            
+        except Exception as e:
+            return Response({'error': f'Error en exportación CSV particionada: {str(e)}'}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
+    
+    def export_single_model_partitioned(self, request, model_name, fields, filters, total_records):
+        """Exporta un solo modelo particionado a ZIP"""
+        try:
+            zip_buffer = io.BytesIO()
+            module = 'datastage'
+            
+            model = apps.get_model(module, model_name)
+            queryset = model.objects.filter(**filters).values(*fields)
+            
+            with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+                from django.core.paginator import Paginator
+                paginator = Paginator(queryset, self.MAX_RECORDS_PER_FILE)
+                
+                for page_num in paginator.page_range:
+                    page = paginator.page(page_num)
+                    
+                    # Crear Excel para esta parte
+                    wb = openpyxl.Workbook()
+                    ws = wb.active
+                    ws.title = f"Parte_{page_num}"[:31]
+                    ws.append(fields)
+                    
+                    for row in page.object_list:
+                        row_values = [self.safe_excel_value(row[field]) for field in fields]
+                        ws.append(row_values)
+                    
+                    part_buffer = io.BytesIO()
+                    wb.save(part_buffer)
+                    part_buffer.seek(0)
+                    
+                    filename = f"{model_name}_part{page_num}.xlsx"
+                    zip_file.writestr(filename, part_buffer.getvalue())
+
+            zip_buffer.seek(0)
+            zip_content = zip_buffer.getvalue()
+            
+            response = HttpResponse(zip_content, content_type='application/zip')
+            response['Content-Disposition'] = f'attachment; filename="{model_name}_particionado.zip"'
+            response['Content-Length'] = len(zip_content)
+            
+            return response
+            
+        except Exception as e:
+            return Response({'error': f'Error exportando modelo: {str(e)}'}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
+        
+    def export_single_model_csv_partitioned(self, request, model_name, fields, filters, total_records):
+        """Exporta un solo modelo CSV particionado a ZIP"""
+        try:
+            zip_buffer = io.BytesIO()
+            module = 'datastage'
+            
+            model = apps.get_model(module, model_name)
+            queryset = model.objects.filter(**filters).values(*fields)
+            
+            with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+                from django.core.paginator import Paginator
+                paginator = Paginator(queryset, self.MAX_RECORDS_PER_FILE)
+                
+                for page_num in paginator.page_range:
+                    page = paginator.page(page_num)
+                    
+                    csv_buffer = io.StringIO()
+                    writer = csv.writer(csv_buffer)
+                    writer.writerow(fields)
+                    
+                    for row in page.object_list:
+                        row_values = [self.safe_excel_value(row[field]) for field in fields]
+                        writer.writerow(row_values)
+                    
+                    # Agregar al ZIP
+                    filename = f"{model_name}_part{page_num}.csv"
+                    zip_file.writestr(filename, csv_buffer.getvalue())
+
+            zip_buffer.seek(0)
+            
+            zip_content = zip_buffer.getvalue()
+            
+            response = HttpResponse(zip_content, content_type='application/zip')
+            response['Content-Disposition'] = f'attachment; filename="{model_name}_particionado.zip"'
+            response['Content-Length'] = len(zip_content)
+            
+            return response
+            
+        except Exception as e:
+            return Response({'error': f'Error exportando modelo CSV: {str(e)}'}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
+        
+    def get_related_keys_from_filters(self, global_filters, models_data, user):
+        """
+        Obtiene patentes, pedimentos y datastages que cumplen EXACTAMENTE con TODOS los filtros globales
+        VERSIÓN SIMPLIFICADA - Usa la MISMA lógica que apply_global_filters_to_model
+        """
+        related_keys = {
+            'patentes': set(),
+            'pedimentos': set(),
+            'datastage_ids': set()
+        }
+        
+        # Si no hay filtros, retornar vacío
+        if not any(v for v in global_filters.values() if v not in [None, '']):
+            return {}
+        
+        all_records_with_filters = []
+
+        for model_data in models_data:
+            model_name = model_data.get('model')
+            
+            try:
+                model = apps.get_model('datastage', model_name)
+                
+                # ¡USAR LA MISMA FUNCIÓN QUE EN MODO SINGULAR!
+                filters = self.apply_global_filters_to_model(global_filters, model, user)
+                
+                if filters:
+                    # EJECUTAR CONSULTA - IDÉNTICO A MODO SINGULAR
+                    queryset = model.objects.filter(**filters)
+                    total = queryset.count()
+                    
+                    # VERIFICACIÓN ESPECIAL PARA RFC
+                    if 'rfc' in filters:
+                        rfc_value = filters['rfc']
+                        # Doble verificación: contar registros con ese RFC exacto
+                        rfc_exact_count = queryset.filter(rfc=rfc_value).count()
+                        
+                        if rfc_exact_count != total:
+                            try:
+                                other_rfcs = queryset.exclude(rfc=rfc_value).values_list('rfc', flat=True).distinct()[:5]
+                            except:
+                                pass
+                    
+                    # Obtener registros
+                    records = queryset.values('patente', 'pedimento', 'datastage_id')
+                    all_records_with_filters.extend(list(records))
+                            
+            except LookupError:
+                continue
+        
+        if not all_records_with_filters:
+            return {'patentes': set(), 'pedimentos': set(), 'datastage_ids': set()}
+        
+        for record in all_records_with_filters:
+            if record.get('patente'):
+                related_keys['patentes'].add(record['patente'])
+            if record.get('pedimento'):
+                related_keys['pedimentos'].add(record['pedimento'])
+            if record.get('datastage_id'):
+                related_keys['datastage_ids'].add(record['datastage_id'])
+        
+        return {k: list(v) for k, v in related_keys.items() if v}
+    
+    def apply_global_filters_to_model(self, global_filters, model, user):
+        """
+        Aplica filtros globales - VERSIÓN CORREGIDA CON UUID
+        """
+        
+        filters = {}
+        model_fields = [f.name for f in model._meta.get_fields()]
+        
+        # ORGANIZACIÓN - Manejar como UUID
+        org_value = global_filters.get('organizacion')
+        if org_value and org_value != '' and 'organizacion' in model_fields:
+            field = model._meta.get_field('organizacion')
+            
+            if hasattr(field, 'related_model'):  # Es ForeignKey
+                # Convertir string a UUID
+                try:
+                    import uuid
+                    org_uuid = uuid.UUID(org_value)
+                    filters['organizacion_id'] = org_uuid
+                except Exception as e:
+                    # Fallback: dejar como string (puede no funcionar)
+                    filters['organizacion_id'] = org_value
+            else:  # Es CharField
+                filters['organizacion'] = org_value
+        
+        # RFC - Manejar normalmente
+        rfc_value = global_filters.get('rfc')
+        if rfc_value and rfc_value != '' and 'rfc' in model_fields:
+            filters['rfc'] = rfc_value
+        
+        # PATENTE
+        if global_filters.get('patente'):
+            filters['patente'] = global_filters['patente']
+        
+        # PEDIMENTO
+        if global_filters.get('pedimento'):
+            filters['pedimento'] = global_filters['pedimento']
+        
+        # FECHAS
+        if 'fecha_pago_real' in model_fields:
+            if global_filters.get('fecha_pago_desde'):
+                filters['fecha_pago_real__gte'] = global_filters['fecha_pago_desde']
+            
+            if global_filters.get('fecha_pago_hasta'):
+                filters['fecha_pago_real__lte'] = global_filters['fecha_pago_hasta']
+        
+        return filters
+    
+    def apply_related_filters(self, global_filters, model, related_keys, user):
+        filters = {}
+        model_fields = [f.name for f in model._meta.get_fields()]
+        
+        # 1. Organización
+        if 'organizacion' in model_fields and global_filters.get('organizacion'):
+            filters['organizacion'] = global_filters['organizacion']
+        
+        # 2. RFC (¡ESTO ES LO QUE FALTA!)
+        if 'rfc' in model_fields and global_filters.get('rfc'):
+            filters['rfc'] = global_filters['rfc']
+        
+        # 3. Fechas (SIEMPRE se aplican)
+        if 'fecha_pago_real' in model_fields:
+            if global_filters.get('fecha_pago_desde'):
+                filters['fecha_pago_real__gte'] = global_filters['fecha_pago_desde']
+            
+            if global_filters.get('fecha_pago_hasta'):
+                filters['fecha_pago_real__lte'] = global_filters['fecha_pago_hasta']
+        
+        # 🔥 SEGUNDO: Si hay related_keys, AÑADIRLAS a los filtros existentes
+        if any(related_keys.values()):
+            
+            # Añadir patentes si existen
+            if related_keys.get('patentes') and 'patente' in model_fields:
+                filters['patente__in'] = related_keys['patentes']
+            
+            # Añadir pedimentos si existen
+            if related_keys.get('pedimentos') and 'pedimento' in model_fields:
+                filters['pedimento__in'] = related_keys['pedimentos']
+            
+            # Añadir datastage_ids si existen
+            if related_keys.get('datastage_ids') and 'datastage_id' in model_fields:
+                filters['datastage_id__in'] = related_keys['datastage_ids']
+        
+        else:
+            # Solo patente y pedimento específicos (no listas)
+            if 'patente' in model_fields and global_filters.get('patente'):
+                filters['patente'] = global_filters['patente']
+            
+            if 'pedimento' in model_fields and global_filters.get('pedimento'):
+                filters['pedimento'] = global_filters['pedimento']
+        
+        return filters
+
+    def estimate_excel_file_size(self, num_records, num_columns):
+        """Estima tamaño aproximado del archivo Excel"""
+        # Estimación aproximada: 100 bytes por celda
+        return num_records * num_columns * 100
+    
+    def export_with_size_control(self, request, models_data, global_filters, related_keys):
+        """Versión con control de tamaño de archivo"""
+        try:
+            zip_buffer = io.BytesIO()
+            
+            with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+                file_counter = 1
+                current_wb = None
+                current_file_size_estimate = 0
+                MAX_FILE_SIZE_ESTIMATE = 50 * 1024 * 1024  # 50MB estimado
+                
+                for model_data in models_data:
+                    model_name = model_data.get('model')
+                    fields = model_data.get('fields', [])
+                    
+                    if not model_name or not fields:
+                        continue
+                    
+                    try:
+                        model = apps.get_model('datastage', model_name)
+                        filters = self.apply_related_filters(global_filters, model, related_keys, request.user)
+                        
+                        if filters:
+                            queryset = model.objects.filter(**filters).values(*fields)
+                        else:
+                            queryset = model.objects.none()
+                            
+                        total_records = queryset.count()
+                        
+                        if total_records == 0:
+                            continue
+                        
+                        # Calcular tamaño estimado para este modelo
+                        model_size_estimate = self.estimate_excel_file_size(total_records, len(fields))
+                        
+                        # Si el modelo es muy grande o no cabe en el archivo actual
+                        needs_new_file = (
+                            current_wb is None or 
+                            current_file_size_estimate + model_size_estimate > MAX_FILE_SIZE_ESTIMATE or
+                            (total_records > self.MAX_RECORDS_PER_FILE and current_file_size_estimate > 0)
+                        )
+                        
+                        if needs_new_file and current_wb is not None:
+                            # Guardar archivo actual
+                            part_buffer = io.BytesIO()
+                            current_wb.save(part_buffer)
+                            part_buffer.seek(0)
+                            zip_file.writestr(f"datastage_part{file_counter}.xlsx", part_buffer.getvalue())
+                            file_counter += 1
+                            current_wb = None
+                            current_file_size_estimate = 0
+                        
+                        if current_wb is None:
+                            current_wb = openpyxl.Workbook()
+                            current_wb.remove(current_wb.active)
+                        
+                        # Manejar modelos que exceden el límite por hoja
+                        if total_records > self.MAX_RECORDS_PER_FILE:
+                            from django.core.paginator import Paginator
+                            paginator = Paginator(queryset, self.MAX_RECORDS_PER_FILE)
+                            
+                            for page_num in paginator.page_range:
+                                page = paginator.page(page_num)
+                                
+                                # Crear hoja para esta parte
+                                sheet_name = f"{model_name[:20]}_p{page_num}"[:31]
+                                ws = current_wb.create_sheet(title=sheet_name)
+                                ws.append(fields)
+                                
+                                for row in page.object_list:
+                                    row_values = [self.safe_excel_value(row[field]) for field in fields]
+                                    ws.append(row_values)
+                                
+                                # Actualizar tamaño estimado
+                                page_size = self.estimate_excel_file_size(len(page.object_list), len(fields))
+                                current_file_size_estimate += page_size
+                                
+                        else:
+                            # Modelo pequeño, una hoja
+                            sheet_name = model_name[:31]
+                            ws = current_wb.create_sheet(title=sheet_name)
+                            ws.append(fields)
+                            
+                            for row in queryset:
+                                row_values = [self.safe_excel_value(row[field]) for field in fields]
+                                ws.append(row_values)
+                            
+                            current_file_size_estimate += model_size_estimate
+                            
+                    except LookupError:
+                        continue
+                
+                # Guardar último archivo si existe
+                if current_wb is not None:
+                    part_buffer = io.BytesIO()
+                    current_wb.save(part_buffer)
+                    part_buffer.seek(0)
+                    zip_file.writestr(f"datastage_part{file_counter}.xlsx", part_buffer.getvalue())
+            
+            zip_buffer.seek(0)
+            
+            response = HttpResponse(zip_buffer.read(), content_type='application/zip')
+            response['Content-Disposition'] = 'attachment; filename="datastage_reports.zip"'
+            return response
+            
+        except Exception as e:
+            return Response({'error': f'Error: {str(e)}'}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
 
 class ExportModelView(APIView):
     my_tags = ['Reportes']
-    permission_classes = [IsAuthenticated & (
-        IsSameOrganization | IsSameOrganizationAndAdmin | IsSameOrganizationDeveloper | IsSuperUser)]
+    permission_classes = [IsAuthenticated & (IsSameOrganization | IsSameOrganizationAndAdmin | IsSameOrganizationDeveloper | IsSuperUser)]
 
     @swagger_auto_schema(
         manual_parameters=[

api/reports/views_table.py

@@ -1,5 +1,5 @@
 from api.reports.models import ReportDocument
-from api.reports.tasks.report_document import generate_report_document
+from api.reports.tasks.report_document import generate_report_document, generate_report_control_pedimento
 from django.http import FileResponse
 from rest_framework.decorators import api_view, permission_classes
 from rest_framework.permissions import IsAuthenticated
@@ -11,7 +11,10 @@ def table_summary(request):
     """
     Solo dispara la tarea asíncrona para generar el reporte CSV. No consulta ni procesa datos.
     """
+
     org_id = request.query_params.get('organizacion_id')
+    # hasta aqui si llega y crea el registro en la base de datos 
+    print(f'🖼️🖼️🖼️🖼️🖼️🖼️🖼️ table_summary organizacion id = {org_id}')
     if not org_id:
         return Response({"error": "organizacion_id es requerido"}, status=400)
     # Obtener filtros de query params
@@ -60,7 +63,8 @@ def table_summary(request):
     report = ReportDocument.objects.create(
         user=request.user,
         filters=filtros,
-        status='pending'
+        status='pending',
+        report_type='cumplimiento'
     )
     generate_report_document.delay(report.id)
     return Response({
@@ -94,6 +98,7 @@ def report_document_list(request):
     data = [
         {
             "report_id": r.id,
+            "report_type": r.report_type,
             "status": r.status,
             "created_at": r.created_at,
             "finished_at": r.finished_at,
@@ -114,4 +119,50 @@ def report_document_download(request, report_id):
         response = FileResponse(report.file.open('rb'), as_attachment=True, filename=report.file.name)
         return response
     except ReportDocument.DoesNotExist:
-        return Response({"error": "Reporte no encontrado"}, status=404)
+        return Response({"error": "Reporte no encontrado"}, status=404)
+
+@api_view(['GET'])
+@permission_classes([IsAuthenticated])
+def control_pedimento(request):
+    """
+    Dispara la tarea asíncrona para generar el reporte CSV de control de Pedimentos. 
+    """
+    org_id = request.query_params.get('organizacion_id')
+
+    if not org_id:
+        return Response({"error": "organizacion_id es requerido"}, status=400)
+    
+    # Simplificar la lógica de fechas
+    fecha_pago_gte = request.query_params.get('fecha_pago__gte')
+    fecha_pago_lte = request.query_params.get('fecha_pago__lte')
+    pedimento_app = request.query_params.get('pedimento_app')
+    
+    # Si las fechas vienen como string, mantenerlas como están
+    fecha_pago_gte_str = fecha_pago_gte if fecha_pago_gte else None
+    fecha_pago_lte_str = fecha_pago_lte if fecha_pago_lte else None
+    
+    filtros = {
+        "pedimento_app": pedimento_app,
+        "organizacion_id": org_id,
+        "fecha_pago__gte": fecha_pago_gte_str,
+        "fecha_pago__lte": fecha_pago_lte_str,
+    }
+    
+    # Crear el reporte
+    report = ReportDocument.objects.create(
+        user=request.user,
+        filters=filtros,
+        status='pending',
+        report_type='control_pedimento'
+    )
+    
+    # Disparar la tarea asíncrona
+    generate_report_control_pedimento.delay(report.id)
+    
+    return Response({
+        "report_id": report.id,
+        "status": report.status,
+        "created_at": report.created_at,
+        "message": "Reporte en proceso de generación",
+        "download_url": report.file.url if report.file else None
+    }, status=202)

api/vucem/views.py

@@ -1,4 +1,5 @@
 from django.shortcuts import render
+from ..organization.models import Organizacion
 from rest_framework import viewsets
 from rest_framework.pagination import PageNumberPagination
 from django_filters.rest_framework import DjangoFilterBackend
@@ -93,7 +94,23 @@ class VucemView(viewsets.ModelViewSet):
         if not self.request.user.is_authenticated or not hasattr(self.request.user, 'organizacion'):
             raise ValueError("El usuario debe estar autenticado y tener una organización asignada.")
         if self.request.user.is_superuser:
-            serializer.save(created_by=self.request.user, updated_by=self.request.user)
+            organizacion_id = self.request.data.get('organizacion_id')
+
+            if not organizacion_id:
+                raise ValueError("Los superusuarios deben especificar una organización")
+            
+            try:
+                # Importa el modelo Organizacion
+                # from ..organization.models import Organizacion
+                organizacion = Organizacion.objects.get(id=organizacion_id)
+            except Organizacion.DoesNotExist:
+                raise ValueError({"organizacion": "Organización no encontrada"})
+            
+            serializer.save(
+                organizacion=organizacion,
+                created_by=self.request.user, 
+                updated_by=self.request.user
+            )
             return        
         else:
             serializer.save(