# -*- coding: utf-8 -*-

"""
getting-started.py
~~~~~~~~~~~~~~~~~~~
This module:
    1. Creates a table environment
    2. Creates a source table from a Kinesis Data Stream
    3. Creates a sink table writing to a Kinesis Data Stream
    4. Inserts the source table data into the sink table
"""

from pyflink.table import EnvironmentSettings, StreamTableEnvironment
import os
import json

# 1. Creates a Table Environment
env_settings = (
    EnvironmentSettings.new_instance().in_streaming_mode().use_blink_planner().build()
)
table_env = StreamTableEnvironment.create(environment_settings=env_settings)

APPLICATION_PROPERTIES_FILE_PATH = "/etc/flink/application_properties.json"  # on kda

is_local = (
    True if os.environ.get("IS_LOCAL") else False
)  # set this env var in your local environment

if is_local:
    # only for local, overwrite variable to properties and pass in your jars delimited by a semicolon (;)
    APPLICATION_PROPERTIES_FILE_PATH = "application_properties.json"  # local

    CURRENT_DIR = os.path.dirname(os.path.realpath(__file__))
    table_env.get_config().get_configuration().set_string(
        "pipeline.jars",
        "file:///" + CURRENT_DIR + "/lib/flink-sql-connector-kinesis_2.11-1.13.2.jar",
        )


def get_application_properties():
    if os.path.isfile(APPLICATION_PROPERTIES_FILE_PATH):
        with open(APPLICATION_PROPERTIES_FILE_PATH, "r") as file:
            contents = file.read()
            properties = json.loads(contents)
            return properties
    else:
        print('A file at "{}" was not found'.format(APPLICATION_PROPERTIES_FILE_PATH))


def property_map(props, property_group_id):
    for prop in props:
        if prop["PropertyGroupId"] == property_group_id:
            return prop["PropertyMap"]


def create_table(table_name, stream_name, region, stream_initpos):
    return """ CREATE TABLE {0} (
                ticker VARCHAR(6),
                price DOUBLE,
                event_time TIMESTAMP(3),
                WATERMARK FOR event_time AS event_time - INTERVAL '5' SECOND

              )
              PARTITIONED BY (ticker)
              WITH (
                'connector' = 'kinesis',
                'stream' = '{1}',
                'aws.region' = '{2}',
                'scan.stream.initpos' = '{3}',
                'sink.partitioner-field-delimiter' = ';',
                'sink.producer.collection-max-count' = '100',
                'format' = 'json',
                'json.timestamp-format.standard' = 'ISO-8601'
              ) """.format(
        table_name, stream_name, region, stream_initpos
    )


def main():
    # Application Property Keys
    input_property_group_key = "consumer.config.0"
    producer_property_group_key = "producer.config.0"

    input_stream_key = "input.stream.name"
    input_region_key = "aws.region"
    input_starting_position_key = "flink.stream.initpos"

    output_stream_key = "output.stream.name"
    output_region_key = "aws.region"

    # tables
    input_table_name = "input_table"
    output_table_name = "output_table"

    # get application properties
    props = get_application_properties()

    input_property_map = property_map(props, input_property_group_key)
    output_property_map = property_map(props, producer_property_group_key)

    input_stream = input_property_map[input_stream_key]
    input_region = input_property_map[input_region_key]
    stream_initpos = input_property_map[input_starting_position_key]

    output_stream = output_property_map[output_stream_key]
    output_region = output_property_map[output_region_key]

    # 2. Creates a source table from a Kinesis Data Stream
    table_env.execute_sql(
        create_table(input_table_name, input_stream, input_region, stream_initpos)
    )

    # 3. Creates a sink table writing to a Kinesis Data Stream
    table_env.execute_sql(
        create_table(output_table_name, output_stream, output_region, stream_initpos)
    )

    # 4. Inserts the source table data into the sink table
    table_result = table_env.execute_sql("INSERT INTO {0} SELECT * FROM {1}"
                                         .format(output_table_name, input_table_name))

    # get job status through TableResult
    print(table_result.get_job_client().get_job_status())


if __name__ == "__main__":
    main()