adision de bases para trabajo completo de back-v1.0.0

2026-04-08 15:05:29 -07:00
parent 290a32364d
commit 75ecb00a94
89 changed files with 1630 additions and 2350 deletions
--- a/app/modules/edos/route.py
+++ b/app/modules/edos/route.py
@@ -0,0 +1,77 @@
+
+from fastapi import APIRouter, HTTPException, Query, Body
+from app.modules.edos.service import XMACSVService
+from typing import Optional, Dict, Any
+
+from app.helpers.extractCsv import CSVExtractor
+
+router = APIRouter(prefix='/api/csv', tags=['CSV Import'])
+
+@router.post('/import-from-url')
+async def import_csv(data: Dict[str, Any] = Body(..., example={"url": "http://example.com/data.csv"})):
+    """Endpoint to download CSV and process, write and see on DB"""
+
+
+    csv_url = data.get('url')
+    dry_run = data.get('dry_run', True)
+    max_rows = data.get('max_rows')
+
+    if not csv_url:
+        raise HTTPException(400, "url del CSV requerida")
+    
+    if not isinstance(csv_url, str):
+        raise HTTPException(
+            status_code=400,
+            detail="la URL debe ser un texto valido"
+        )
+    
+    try: 
+        result = XMACSVService.process_csv_from_url(
+            csv_url= csv_url,
+            dry_run=dry_run,
+            max_rows=max_rows,
+        )
+
+        return {
+            'status' : 'success',
+            'message': 'Procesamiento completado',
+            'data': result
+        }
+  
+    except Exception as e: 
+        print(f"Error on endpoint: {str(e)}")
+        import traceback
+        traceback.print_exc()
+
+        raise HTTPException(
+            status_code=500,
+            detail=f"Procesing CSV error: {str(e)}"
+        )
+    
+
+@router.post('/import-from-url/v2')
+async def import_csv(data: dict):
+    """Endpoint simple para probar el extractor"""
+    csv_url = data.get('url')
+    
+    if not csv_url:
+        raise HTTPException(400, "url del CSV requerida")
+    
+    try:
+        # Probar extractor
+        content = CSVExtractor.download_csv(csv_url)
+        rows = CSVExtractor.read_csv(content)
+        
+        return {
+            'status': 'success',
+            'message': 'CSV procesado correctamente',
+            'data': {
+                'url': csv_url,
+                'total_filas': len(rows),
+                'primeras_filas': rows[:3] if rows else [],
+                'columnas': list(rows[0].keys()) if rows else []
+            }
+        }
+        
+    except Exception as e:
+        raise HTTPException(500, detail=str(e))