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>
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import os
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from logging.config import fileConfig
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from sqlalchemy import engine_from_config, pool
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from alembic import context
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config = context.config
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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# Override URL from environment if available
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db_url = os.getenv("DATABASE_URL_SYNC")
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if db_url:
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config.set_main_option("sqlalchemy.url", db_url)
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from app.database import Base
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from app.models import * # noqa: F401,F403
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target_metadata = Base.metadata
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def run_migrations_offline():
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url = config.get_main_option("sqlalchemy.url")
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context.configure(url=url, target_metadata=target_metadata, literal_binds=True, dialect_opts={"paramstyle": "named"})
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online():
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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context.configure(connection=connection, target_metadata=target_metadata)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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