Files
vector/backend/database.py
T
2026-06-06 20:59:23 +00:00

57 lines
1.2 KiB
Python

from sqlalchemy import create_engine
from sqlalchemy.orm import declarative_base, sessionmaker
import os
DATABASE_URL = os.getenv("DATABASE_URL", "postgresql://postgres:postgres@postgres:5432/vector_mchs")
engine = create_engine(DATABASE_URL, echo=False)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()
def init_db():
Base.metadata.create_all(bind=engine)
class _CompatDB:
def __init__(self):
self._cases = []
def create_case(self, **data):
raise NotImplementedError('compat db is for import only')
def list_cases(self):
return []
def get_case(self, case_id):
return None
def update_case(self, case_id, **patch):
return None
def delete_case(self, case_id):
return False
def stats(self):
return {
'total_cases': 0,
'found_alive_count': 0,
'found_deceased_count': 0,
'unknown_outcome_count': 0,
'median_found_distance_km': None,
'recent_activity_count': 0,
}
def heatmap(self):
return []
db = _CompatDB()