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chat_backend/llm_be/chat_backend/apps.py
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westfarn d1660792ad
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Dockerize chat_backend + Ollama LAN + DB file storage (#6) (#7)
## Summary

Implements [chat_backend#6](#6) Part A:

- **uv** packaging (`pyproject.toml` + `uv.lock`), Docker/compose (dev + prod), entrypoint/validate-env, Gitea unit-test + auto-deploy workflows (mirror `scha`)
- Env-driven Django settings (`DJANGO_*`, `DATABASE_URL`, CSRF/CORS)
- **`OLLAMA_BASE_URL`** wired through all Ollama/LangChain clients (prod → `http://10.0.0.128:11434`)
- **DatabaseStorage** — prompt/document file blobs in Postgres (`StoredFile`), not container FS; RAG materializes temp paths for loaders
- ASGI via `gunicorn` + `UvicornWorker` (HTTP + WebSockets)

Companion server-infra PR registers `app_catalog` / `host_apps` (port **8003**).

## Test plan

- [ ] `uv sync && cd llm_be && SKIP_RAG_INIT=1 uv run python manage.py test`
- [ ] `docker compose build && docker compose up` against bundled Postgres
- [ ] Confirm Ollama calls use `OLLAMA_BASE_URL` (not hardcoded localhost)
- [ ] Upload a document / prompt file → row in `chat_backend_storedfile`, no disk under `media/`
- [ ] After server-infra merge + secret/Postgres/NPM: deploy via `deploy.sh --app chat_backend --env prod`Reviewed-on: #7
2026-07-25 05:23:33 -07:00

50 lines
1.6 KiB
Python

from django.apps import AppConfig
from django.conf import settings
from django.db import OperationalError, ProgrammingError
import os
import sys
class ChatBackendConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "chat_backend"
def ready(self):
import chat_backend.signals
# Skip heavy Ollama/Chroma init during migrate/collectstatic/test/CI.
management_cmds = {
"migrate",
"makemigrations",
"collectstatic",
"test",
"shell",
"check",
}
if any(cmd in sys.argv for cmd in management_cmds):
return
if os.environ.get("SKIP_RAG_INIT", "").lower() in {"1", "true", "yes"}:
return
FORCE_RELOAD = False
try:
from .services.rag_services import AsyncRAGService
from chat_backend.models import Document
if Document.objects.exists():
rag_service = AsyncRAGService()
if rag_service.vector_store._collection.count() == 0:
print("Initializing ChromaDB with existing documents...")
rag_service.ingest_documents()
if FORCE_RELOAD:
print("Force Reload ChromaDB with existing documents...")
rag_service.clear_vector_store()
except (OperationalError, ProgrammingError):
# Database tables might not exist yet during migration
pass
except Exception as exc:
# Ollama/Chroma unreachable must not block process start.
print(f"Skipping RAG init at startup: {exc}")