import asyncio
from logging.config import fileConfig

from sqlalchemy import pool
from sqlalchemy.engine import Connection
from sqlalchemy.ext.asyncio import create_async_engine

from alembic import context

# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config

# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
    fileConfig(config.config_file_name)

# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
from skyvern.forge.sdk.db import models

target_metadata = models.Base.metadata

# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
from skyvern.forge.sdk.settings_manager import SettingsManager

config.set_main_option("sqlalchemy.url", SettingsManager.get_settings().DATABASE_STRING)


def run_migrations_offline() -> None:
    """Run migrations in 'offline' mode.

    This configures the context with just a URL
    and not an Engine, though an Engine is acceptable
    here as well.  By skipping the Engine creation
    we don't even need a DBAPI to be available.

    Calls to context.execute() here emit the given string to the
    script output.

    """
    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: Connection):
    """Run migrations in 'online' mode.

    In this scenario we need to create an Engine
    and associate a connection with the context.

    """
    context.configure(connection=connection, target_metadata=target_metadata)
    with context.begin_transaction():
        context.run_migrations()


async def run_migrations_online():
    connectable = create_async_engine(
        config.get_main_option("sqlalchemy.url"),
        poolclass=pool.NullPool,
    )

    async with connectable.connect() as connection:
        await connection.run_sync(do_run_migrations)

    await connectable.dispose()


print("Alembic mode: ", "offline" if context.is_offline_mode() else "online")
if context.is_offline_mode():
    run_migrations_offline()
else:
    async def async_main():
        await run_migrations_online()

    try:
        loop = asyncio.get_running_loop()
    except RuntimeError:
        # No running loop -> safe to start one
        print("Alembic: no running loop")
        asyncio.run(async_main())
    else:
        # Already running loop -> schedule task and await it
        print("Alembic: schedule task")
        import concurrent.futures

        # Use a ThreadPoolExecutor to run the async function in a new thread
        with concurrent.futures.ThreadPoolExecutor() as executor:
            future = executor.submit(asyncio.run, async_main())
            future.result()  # This blocks until completion