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#  license agreements. See the NOTICE file distributed with
#  this work for additional information regarding copyright
#  ownership. Elasticsearch B.V. 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.

import pandas as pd
from opensearchpy import helpers
from opensearchpy.client import OpenSearch

from tests import (
    ECOMMERCE_FILE_NAME,
    ECOMMERCE_INDEX_NAME,
    ECOMMERCE_MAPPING,
    FLIGHTS_FILE_NAME,
    FLIGHTS_INDEX_NAME,
    FLIGHTS_MAPPING,
    FLIGHTS_SMALL_FILE_NAME,
    FLIGHTS_SMALL_INDEX_NAME,
    OPENSEARCH_HOST,
    OPENSEARCH_TEST_CLIENT,
    TEST_MAPPING1,
    TEST_MAPPING1_INDEX_NAME,
    TEST_NESTED_USER_GROUP_DOCS,
    TEST_NESTED_USER_GROUP_INDEX_NAME,
    TEST_NESTED_USER_GROUP_MAPPING,
)

DATA_LIST = [
    (FLIGHTS_FILE_NAME, FLIGHTS_INDEX_NAME, FLIGHTS_MAPPING),
    (FLIGHTS_SMALL_FILE_NAME, FLIGHTS_SMALL_INDEX_NAME, FLIGHTS_MAPPING),
    (ECOMMERCE_FILE_NAME, ECOMMERCE_INDEX_NAME, ECOMMERCE_MAPPING),
]


def _setup_data(os):
    # Read json file and index records into Elasticsearch
    for data in DATA_LIST:
        json_file_name = data[0]
        index_name = data[1]
        mapping = data[2]

        # Delete index
        print("Deleting index:", index_name)
        os.indices.delete(index=index_name, ignore_unavailable=True)
        print("Creating index:", index_name)
        os.indices.create(index=index_name, body=mapping)

        df = pd.read_json(json_file_name, lines=True)

        actions = []
        n = 0

        print("Adding", df.shape[0], "items to index:", index_name)
        for index, row in df.iterrows():
            values = row.to_dict()
            # make timestamp datetime 2018-01-01T12:09:35
            # values['timestamp'] = datetime.strptime(values['timestamp'], '%Y-%m-%dT%H:%M:%S')

            # Use integer as id field for repeatable results
            action = {"_index": index_name, "_source": values, "_id": str(n)}

            actions.append(action)

            n = n + 1

            if n % 10000 == 0:
                helpers.bulk(os, actions)
                actions = []

        helpers.bulk(os, actions)
        actions = []

        print("Done", index_name)


def _setup_test_mappings(os: OpenSearch):
    # Create a complex mapping containing many Elasticsearch features
    os.indices.delete(index=TEST_MAPPING1_INDEX_NAME, ignore_unavailable=True)
    os.indices.create(index=TEST_MAPPING1_INDEX_NAME, body=TEST_MAPPING1)


def _setup_test_nested(os):
    os.indices.delete(index=TEST_NESTED_USER_GROUP_INDEX_NAME, ignore_unavailable=True)
    os.indices.create(
        index=TEST_NESTED_USER_GROUP_INDEX_NAME, body=TEST_NESTED_USER_GROUP_MAPPING
    )

    helpers.bulk(os, TEST_NESTED_USER_GROUP_DOCS)


def _update_max_compilations_limit(os: OpenSearch, limit="10000/1m"):
    print("Updating script.max_compilations_rate to ", limit)
    os.cluster.put_settings(
        body={
            "transient": {
                "script.max_compilations_rate": "use-context",
                "script.context.field.max_compilations_rate": limit,
            }
        }
    )


if __name__ == "__main__":
    # Create connection to OpenSearch - use defaults

    print("Connecting to OS", OPENSEARCH_HOST)
    os = OPENSEARCH_TEST_CLIENT

    _setup_data(os)
    _setup_test_mappings(os)
    _setup_test_nested(os)
    _update_max_compilations_limit(os)