Refactor user data handling and enhance chat functionality

- Removed deprecated user_info files and paths from configuration.
- Added user soil data integration in chat context to improve response accuracy.
- Updated build_rag_context and chat_rag_stream functions to include sensor_uuid for user-specific data retrieval.
- Enhanced load_sources function to load user data from the database.
- Implemented filtering in search_with_query and QdrantVectorStore to isolate user data based on sensor_uuid.
- Introduced Celery Beat schedule for periodic user data ingestion.

rag/__init__.py

@@ -10,6 +10,7 @@ from .config import load_rag_config
 from .embedding import embed_single, embed_texts
 from .ingest import ingest, load_sources
 from .retrieve import search_with_query
+from .user_data import build_user_soil_text, load_user_sources
 from .vector_store import QdrantVectorStore
 
 __all__ = [
@@ -22,6 +23,8 @@ __all__ = [
     "ingest",
     "load_rag_config",
     "load_sources",
+    "load_user_sources",
+    "build_user_soil_text",
     "QdrantVectorStore",
     "search_with_query",
 ]