import asyncio
from logging.config import fileConfig

from alembic import context
from alembic_utils.pg_extension import PGExtension
from sqlalchemy import pool
from sqlalchemy.ext.asyncio import async_engine_from_config

from polar.config import settings
from polar.models import Model


def include_object(object, name, type_, reflected, compare_to):
    # Exclude TimescaleDB - Docker image handles creation, migration is backup
    if isinstance(object, PGExtension) and object.signature == "timescaledb":
        return False
    # Exclude TimescaleDB auto-created index on hypertable partitioning column
    if type_ == "index" and name == "events_hyper_ingested_at_idx":
        return False
    return True


# 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
target_metadata = Model.metadata

config.set_main_option(
    "sqlalchemy.url",
    # Escape %-encoding signs to avoid Alembic treating them as interpolation markers
    settings.get_postgres_dsn("asyncpg").replace("%", "%%"),
)

# 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.


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"},
        compare_type=True,
        include_object=include_object,
    )

    with context.begin_transaction():
        context.run_migrations()


def do_run_migrations(connection):
    context.configure(
        connection=connection,
        target_metadata=target_metadata,
        compare_type=True,
        include_object=include_object,
    )

    with context.begin_transaction():
        context.run_migrations()


async def run_migrations_online() -> None:
    """Run migrations in 'online' mode.

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

    """
    configuration = config.get_section(config.config_ini_section)
    if not configuration:
        raise ValueError("No Alembic config found")

    connectable = async_engine_from_config(
        configuration,
        prefix="sqlalchemy.",
        poolclass=pool.NullPool,
        future=True,
    )

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

    await connectable.dispose()


if context.is_offline_mode():
    run_migrations_offline()
else:
    asyncio.run(run_migrations_online())
