e18976fdb2
Dockerized web app (FastAPI + React + PostgreSQL) for scoping client ratecards against the GMAL master asset database. Features: - GMAL data ingestion from Excel (390 assets, 120 roles, 5 model types) - AI-powered document parsing and asset extraction (Claude Opus 4.6) - AI matching engine with parallel batching, confidence scoring, caveats - Ratecard builder with hours x volume calculation - Excel and PDF export - GMAL browser and inline editor - AI cost tracking per project (persisted to DB) - Debug panel for AI call inspection - Dark theme UI with gold (#FFC407) accent Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
16 lines
445 B
Python
16 lines
445 B
Python
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine, async_sessionmaker
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from sqlalchemy.orm import DeclarativeBase
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from app.config import settings
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engine = create_async_engine(settings.database_url, echo=False)
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async_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
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class Base(DeclarativeBase):
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pass
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async def get_db():
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async with async_session() as session:
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yield session
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