"""Lambda generate_flowthorugh_adjustments function module."""

from __future__ import annotations

from datetime import datetime
from typing import Any, Mapping

import sentry_sdk
from lambdacommon.common_config import logger
from sentry_sdk.integrations.aws_lambda import AwsLambdaIntegration
from snowflake_connector.etl_connector import SnowflakeSQLExecutor

import config
from generate_flowthrough_adjustments.processor import (
    GenerateFlowthroughAdjustmentsProcessor,
)

if config.SENTRY_DSN:
    sentry_sdk.init(
        dsn=config.SENTRY_DSN,
        environment=config.ENVIRONMENT,
        integrations=[AwsLambdaIntegration(timeout_warning=True)],
    )


def handler(event: Mapping[str, Any] | None, context: Any) -> dict[str, Any]:
    """Lambda entry point.

    Args:
        event: Event data passed to the Lambda function.
        context: Lambda runtime information.

    Returns:
        dict: Response with batch_id, correlation_id, s3_bucket, and s3_key.
    """
    try:
        logger.info(f'Function ARN: {context.invoked_function_arn}')
        with SnowflakeSQLExecutor(config.SNOWFLAKE_CONFIG) as sf_executor:
            processor = GenerateFlowthroughAdjustmentsProcessor(event, sf_executor)
            start_time = datetime.now()
            total_flowthrough_count = processor.process()
            end_time = datetime.now()
            diff = end_time - start_time
            print(f'Finished processing in {diff}')
    except Exception as e:
        logger.exception(str(e))
        raise e

    if total_flowthrough_count:
        return {'status': 'OK'}

    return {'status': 'NO_RECORDS'}