da3f5faa91
FastAPI + React + PostgreSQL salary benchmarking tool with AI research pipeline. - Seed data for 25+ New York roles (junior/mid/senior levels) - Single + bulk lookup with location alias mapping (NYC -> New York, etc.) - Research pipeline: Serper -> Firecrawl -> Cohere Rerank -> Claude analysis - Editable validation UI for AI-proposed benchmarks - CSV export, Montserrat font, black/white/#FFC407 design - Fully Dockerized (app + db + frontend) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
import asyncio
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy.ext.asyncio import create_async_engine
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from app.config import settings
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from app.models import Base
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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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target_metadata = Base.metadata
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def run_migrations_offline():
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url = settings.database_url
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context.configure(url=url, target_metadata=target_metadata, literal_binds=True)
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with context.begin_transaction():
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context.run_migrations()
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def do_run_migrations(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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async def run_migrations_online():
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connectable = create_async_engine(settings.database_url)
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async with connectable.connect() as connection:
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await connection.run_sync(do_run_migrations)
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await connectable.dispose()
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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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asyncio.run(run_migrations_online())
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