SanadLLM / app /services /database.py
Hydra-Bolt
added
8de5b21
from supabase import create_client, Client
from typing import Optional
import logging
from app.config.settings import settings
from app.db.models import NarratorExtractionRecord, NarratorAnalysisRecord
class DatabaseService:
"""Service for database operations with Supabase."""
def __init__(self):
self.logger = logging.getLogger(__name__)
self.supabase: Optional[Client] = None
if settings.SUPABASE_URL and settings.SUPABASE_SERVICE_KEY:
try:
self.supabase = create_client(
settings.SUPABASE_URL,
settings.SUPABASE_SERVICE_KEY
)
except Exception as e:
self.logger.error(f"Failed to initialize Supabase client: {e}")
async def store_extraction_record(self, record: NarratorExtractionRecord) -> Optional[str]:
"""Store narrator extraction record in database."""
if not self.supabase:
self.logger.warning("Supabase client not available, skipping database storage")
return None
try:
# Convert record to dict, excluding None id
record_dict = record.dict(exclude_none=True)
if "id" in record_dict and record_dict["id"] is None:
del record_dict["id"]
# Convert datetime objects to ISO strings
if record.created_at:
record_dict["created_at"] = record.created_at.isoformat()
response = self.supabase.table("narrator_extractions").insert(record_dict).execute()
if response.data:
return response.data[0]["id"]
else:
self.logger.error("No data returned from extraction record insertion")
return None
except Exception as e:
self.logger.error(f"Error storing extraction record: {e}")
return None
async def store_analysis_record(self, record: NarratorAnalysisRecord) -> Optional[str]:
"""Store narrator analysis record in database."""
if not self.supabase:
self.logger.warning("Supabase client not available, skipping database storage")
return None
try:
# Convert record to dict, excluding None id
record_dict = record.dict(exclude_none=True)
if "id" in record_dict and record_dict["id"] is None:
del record_dict["id"]
# Convert datetime objects to ISO strings
if record.created_at:
record_dict["created_at"] = record.created_at.isoformat()
response = self.supabase.table("narrator_analyses").insert(record_dict).execute()
if response.data:
return response.data[0]["id"]
else:
self.logger.error("No data returned from analysis record insertion")
return None
except Exception as e:
self.logger.error(f"Error storing analysis record: {e}")
return None
async def get_user_extractions(self, user_id: str, limit: int = 50) -> list:
"""Get user's extraction history."""
if not self.supabase:
return []
try:
response = self.supabase.table("narrator_extractions").select("*").eq("user_id", user_id).order("created_at", desc=True).limit(limit).execute()
return response.data or []
except Exception as e:
self.logger.error(f"Error fetching user extractions: {e}")
return []
async def get_user_analyses(self, user_id: str, limit: int = 50) -> list:
"""Get user's analysis history."""
if not self.supabase:
return []
try:
response = self.supabase.table("narrator_analyses").select("*").eq("user_id", user_id).order("created_at", desc=True).limit(limit).execute()
return response.data or []
except Exception as e:
self.logger.error(f"Error fetching user analyses: {e}")
return []
async def get_extraction_stats(self) -> dict:
"""Get extraction statistics."""
if not self.supabase:
return {}
try:
response = self.supabase.rpc("get_extraction_stats").execute()
return response.data[0] if response.data else {}
except Exception as e:
self.logger.error(f"Error fetching extraction stats: {e}")
return {}
async def get_popular_narrators(self, limit: int = 10) -> list:
"""Get most analyzed narrators."""
if not self.supabase:
return []
try:
response = self.supabase.rpc("get_popular_narrators", {"limit_count": limit}).execute()
return response.data or []
except Exception as e:
self.logger.error(f"Error fetching popular narrators: {e}")
return []