olivas/backend/app/db/migrations/env.py
DJP 3467dbcf03 Initial commit — OliVAS visual attention analysis platform
Full-stack application for predicting where humans look in images using
DeepGaze saliency models. Includes heatmap overlays, gaze sequence prediction,
hotspot detection, AOI analysis, rule-based insights, optional Claude AI
design analysis, and professional PDF report generation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 20:20:58 -05:00

57 lines
1.6 KiB
Python

import asyncio
from logging.config import fileConfig
from alembic import context
from sqlalchemy import pool
from sqlalchemy.ext.asyncio import async_engine_from_config
from app.models.base import Base
from app.models.project import Project # noqa: F401
from app.models.analysis import Analysis # noqa: F401
from app.models.aoi import AOI # noqa: F401
from app.models.comparison import Comparison # noqa: F401
config = context.config
if config.config_file_name is not None:
fileConfig(config.config_file_name)
target_metadata = Base.metadata
def run_migrations_offline() -> None:
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection):
context.configure(connection=connection, target_metadata=target_metadata)
with context.begin_transaction():
context.run_migrations()
async def run_async_migrations() -> None:
connectable = async_engine_from_config(
config.get_section(config.config_ini_section, {}),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
await connectable.dispose()
def run_migrations_online() -> None:
asyncio.run(run_async_migrations())
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()