import json
import logging
import os
from dataclasses import dataclass

import boto3

from common.response import no_content
from libs.utils import response_error

logger = logging.getLogger(__name__)
logger.setLevel(os.environ.get('LOG_LEVEL') or logging.ERROR)

dynamodb = boto3.resource('dynamodb')
inference_job_table = dynamodb.Table(os.environ.get('INFERENCE_JOB_TABLE'))

s3_bucket_name = os.environ.get('S3_BUCKET_NAME')
s3_client = boto3.client('s3')


@dataclass
class DeleteInferenceJobsEvent:
    inference_id_list: [str]


def handler(event, ctx):
    try:
        logger.info(json.dumps(event))

        body = DeleteInferenceJobsEvent(**json.loads(event['body']))

        # todo will be removed
        # permissions_check(event, [PERMISSION_INFERENCE_ALL])

        # unique list for preventing duplicate delete
        inference_id_list = list(set(body.inference_id_list))

        for inference_id in inference_id_list:

            # todo will rename primary key
            inference = inference_job_table.get_item(Key={'InferenceJobId': inference_id})

            if 'Item' not in inference:
                continue

            logger.info(f'inference: {inference}')

            if 'params' not in inference['Item']:
                continue

            params = inference['Item']['params']

            if 'input_body_s3' in params:
                s3_client.delete_object(
                    Bucket=s3_bucket_name,
                    Key=params['input_body_s3'].replace(f"s3://{s3_bucket_name}/", "")
                )

            if 'output_path' in params:
                s3_client.delete_object(
                    Bucket=s3_bucket_name,
                    Key=params['output_path'].replace(f"s3://{s3_bucket_name}/", "")
                )

            # todo will rename primary key
            inference_job_table.delete_item(Key={'InferenceJobId': inference_id})

        return no_content(message='inferences deleted')
    except Exception as e:
        return response_error(e)