arruma o processo de busca textual nos diarios

diarios/signals.py

@@ -1,17 +1,15 @@
-from django.db.models.signals import post_save
+from django.db.models.signals import post_save, post_delete
 from django.dispatch import receiver
-import PyPDF2
-from io import BytesIO
-from .models import PDFDocument
 
 
-@receiver(post_save, sender=PDFDocument)
-def extract_text(sender, instance, created, **kwargs):
-    print("Signal disparado!")  # Teste se o Signal está funcionando
-    if created and instance.file:
-        pdf = PyPDF2.PdfReader(instance.file)
-        text = []
-        for page in pdf.pages:
-            text.append(page.extract_text())
-        instance.content = "\n".join(text)
-        instance.save(update_fields=["content"])
+@receiver(post_save, sender=DiarioOficial)
+def update_document(sender, instance, **kwargs):
+    """Atualizar documento no Elasticsearch quando o objeto for salvo"""
+    DiarioOficialDocument.update_document(instance)
+
+
+@receiver(post_delete, sender=DiarioOficial)
+def delete_document(sender, instance, **kwargs):
+    """Deletar documento do Elasticsearch quando o objeto for deletado"""
+    document = DiarioOficialDocument.get(id=instance.id)
+    document.delete()