Files
chat_backend/llm_be/chat_backend/signals.py
T
westfarn de84ff1b00
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Dockerize chat_backend for server-infra deploy (closes #6).
Add uv packaging, env-driven Django settings, OLLAMA_BASE_URL (LAN GPU
host), DatabaseStorage for prompt/document blobs, compose/CI/deploy
workflows mirroring scha, and ASGI gunicorn+UvicornWorker for WebSockets.
2026-07-25 07:03:10 -05:00

41 lines
1.2 KiB
Python

from django.db.models.signals import post_save, post_delete
from django.dispatch import receiver
from django.conf import settings
import os
from chat_backend.models import Document
def _rag_init_skipped() -> bool:
return os.environ.get("SKIP_RAG_INIT", "").lower() in {"1", "true", "yes"}
@receiver(post_save, sender=Document)
def update_vector_on_save(sender, instance, **kwargs):
"""Update vector store when documents are saved"""
if _rag_init_skipped():
return
if not kwargs.get("created", False):
return
try:
from .services.rag_services import AsyncRAGService
rag_service = AsyncRAGService()
rag_service.ingest_documents()
except Exception as exc:
print(f"Skipping vector update on Document save: {exc}")
@receiver(post_delete, sender=Document)
def delete_vector_on_remove(sender, instance, **kwargs):
"""Handle document deletion by re-indexing the whole workspace"""
if _rag_init_skipped():
return
try:
from .services.rag_services import AsyncRAGService
rag_service = AsyncRAGService()
rag_service.ingest_documents()
except Exception as exc:
print(f"Skipping vector update on Document delete: {exc}")