Refactorizacion de PDFs y cambio de biblioteca backend 1.0.18

backend/app/main.py

@@ -34,7 +34,18 @@ from app import models, schemas
 # Crear tablas
 Base.metadata.create_all(bind=engine)
 
-app = FastAPI(title="Checklist Inteligente API", version="1.0.0")
+BACKEND_VERSION = "1.0.17"
+app = FastAPI(title="Checklist Inteligente API", version=BACKEND_VERSION)
+
+# Información visual al iniciar el backend
+import sys
+from app.core import config as app_config
+print("\n================ BACKEND STARTUP INFO ================")
+print(f"Backend version: {BACKEND_VERSION}")
+print(f"Database URL: {app_config.settings.DATABASE_URL}")
+print(f"Environment: {app_config.settings.ENVIRONMENT}")
+print(f"MinIO endpoint: {app_config.MINIO_ENDPOINT}")
+print("====================================================\n", flush=True)
 
 # CORS
 app.add_middleware(
@@ -1694,12 +1705,74 @@ def export_inspection_to_pdf(
     doc = SimpleDocTemplate(buffer, pagesize=A4, rightMargin=30, leftMargin=30, topMargin=30, bottomMargin=30)
     elements = []
     styles = getSampleStyleSheet()
-    # ...existing code for PDF generation...
+    title_style = styles['Title']
-    doc.build(elements)
+    normal_style = styles['Normal']
+    header_style = ParagraphStyle('Header', parent=styles['Heading2'], alignment=TA_CENTER, spaceAfter=12)
+    # Portada
+    elements.append(Paragraph(f"Informe de Inspección #{inspection.id}", title_style))
+    elements.append(Spacer(1, 12))
+    elements.append(Paragraph(f"Vehículo: {inspection.vehicle_brand or ''} {inspection.vehicle_model or ''} - Placa: {inspection.vehicle_plate}", normal_style))
+    elements.append(Paragraph(f"Cliente: {inspection.client_name or ''}", normal_style))
+    elements.append(Paragraph(f"Mecánico: {mechanic.full_name if mechanic else ''}", normal_style))
+    elements.append(Paragraph(f"Checklist: {checklist.name if checklist else ''}", normal_style))
+    elements.append(Paragraph(f"Fecha: {inspection.started_at.strftime('%d/%m/%Y %H:%M') if inspection.started_at else ''}", normal_style))
+    elements.append(Spacer(1, 18))
+    # Tabla de respuestas
+    table_data = [["Sección", "Pregunta", "Respuesta", "Estado", "Comentario", "Miniaturas"]]
+    for ans in answers:
+        question = ans.question
+        media_imgs = []
+        for media in ans.media_files:
+            if media.file_type == "image":
+                try:
+                    # Descargar imagen y agregar miniatura
+                    import requests
+                    img_resp = requests.get(media.file_path)
+                    if img_resp.status_code == 200:
+                        img_bytes = BytesIO(img_resp.content)
+                        rl_img = RLImage(img_bytes, width=0.7*inch, height=0.7*inch)
+                        media_imgs.append(rl_img)
+                except Exception as e:
+                    print(f"Error cargando imagen {media.file_path}: {e}")
+        row = [
+            question.section or "",
+            question.text,
+            ans.answer_value,
+            ans.status,
+            ans.comment or "",
+            media_imgs if media_imgs else ""
+        ]
+        table_data.append(row)
+    # Construir tabla con miniaturas
+    table = Table(table_data, colWidths=[1.2*inch, 2.5*inch, 1*inch, 0.8*inch, 2*inch, 1.5*inch])
+    table.setStyle(TableStyle([
+        ('BACKGROUND', (0,0), (-1,0), colors.lightgrey),
+        ('TEXTCOLOR', (0,0), (-1,0), colors.black),
+        ('ALIGN', (0,0), (-1,-1), 'LEFT'),
+        ('VALIGN', (0,0), (-1,-1), 'TOP'),
+        ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'),
+        ('FONTSIZE', (0,0), (-1,0), 10),
+        ('BOTTOMPADDING', (0,0), (-1,0), 8),
+        ('GRID', (0,0), (-1,-1), 0.5, colors.grey),
+    ]))
+    elements.append(table)
+    elements.append(Spacer(1, 18))
+    # Pie de página
+    elements.append(Paragraph(f"Generado por Checklist Inteligente - {datetime.now().strftime('%d/%m/%Y %H:%M')}", header_style))
+    # Construir PDF
+    try:
+        doc.build(elements)
+    except Exception as e:
+        print(f"Error al generar PDF: {e}")
     buffer.seek(0)
+    pdf_size = len(buffer.getvalue())
+    print(f"PDF generado, tamaño: {pdf_size} bytes")
     # Guardar localmente para depuración
-    with open(f"/tmp/test_inspeccion_{inspection_id}.pdf", "wb") as f:
+    try:
-        f.write(buffer.getvalue())
+        with open(f"/tmp/test_inspeccion_{inspection_id}.pdf", "wb") as f:
+            f.write(buffer.getvalue())
+    except Exception as e:
+        print(f"No se pudo guardar PDF local: {e}")
     now = datetime.now()
     folder = f"{now.year}/{now.month:02d}"
     filename = f"inspeccion_{inspection_id}_{inspection.vehicle_plate or 'sin-patente'}.pdf"

backend/requirements.txt

@@ -15,4 +15,5 @@ google-generativeai==0.3.2
 Pillow==10.2.0
 reportlab==4.0.9
 python-dotenv==1.0.0
-boto3==1.34.89
+boto3==1.34.89
+requests==2.31.0