#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""Example HTTP operator and sensor"""
from __future__ import annotations

import io
import json
import gzip
import json
import os
from datetime import datetime
import requests

from airflow.models.baseoperator import chain
import requests
from airflow import DAG
from airflow.providers.http.operators.http import HttpOperator
from airflow.providers.http.sensors.http import HttpSensor
from airflow.decorators import task
from airflow.providers.amazon.aws.hooks.s3 import S3Hook

S3_BUCKET_NAME = os.getenv("S3_BUCKET_NAME", "zenodo-bucket")
S3_BUCKET_KEY = os.getenv("S3_BUCKET_KEY", "test")
S3_BUCKET_KEY_LIST = os.getenv("S3_BUCKET_KEY_LIST", "test2")
S3_BUCKET_WILDCARD_KEY = os.getenv("S3_BUCKET_WILDCARD_KEY", "test*")
PREFIX = os.getenv("S3_PREFIX", "test")
INACTIVITY_PERIOD = float(os.getenv("INACTIVITY_PERIOD", 5))
AWS_DEFAULT_REGION = os.getenv("AWS_DEFAULT_REGION", "us-east-1")
LOCAL_FILE_PATH = os.getenv("LOCAL_FILE_PATH", "/usr/local/airflow/dags/example_s3_test_file.txt")
AWS_CONN_ID = os.getenv("ASTRO_AWS_S3_CONN_ID", "s3_conn")
EXECUTION_TIMEOUT = int(os.getenv("EXECUTION_TIMEOUT", 6))

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
DAG_ID = "populate_opensearch"


@task
def bulk_load():
    session = requests.Session()
    session.auth = ("admin", "admin")

    session.delete("https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/organization_index",
                verify=False)

    session.put("https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/organization_index",
                data=json.dumps({
                    "settings": {
                        "index.number_of_shards": 1,
                        "index.number_of_replicas": 1,
                        "index.refresh_interval": -1
                    }
                }),
                headers={"Content-Type": "application/json"},
                verify=False)

    hook = S3Hook(AWS_CONN_ID, transfer_config_args={'use_threads': False})
    keys = hook.list_keys(bucket_name=S3_BUCKET_NAME, prefix='organization/')
    print(keys)
    for key in keys:
        print(key)
        s3_obj = hook.get_key(key, bucket_name=S3_BUCKET_NAME)
        with gzip.GzipFile(fileobj=s3_obj.get()["Body"]) as gzipfile:
            buff = io.BufferedReader(gzipfile)
            for line in buff:
                data = json.loads(line)
                session.post("https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/organization_index/_doc/" + requests.utils.quote(data['id'], safe='') + "?refresh=false",
                             data=json.dumps(data),
                             headers={"Content-Type": "application/json"},
                             verify=False)
    session.post("https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200/organization_index/_refresh",
                verify=False)

with DAG(
    DAG_ID,
    default_args={"retries": 1},
    tags=["example"],
    start_date=datetime(2021, 1, 1),
    catchup=False,
) as dag:
    bulk_load_data = bulk_load()
    chain(bulk_load_data)