#!/bin/env python

#
# 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.
#

import argparse
import os
import json
import sys
from common.utils import Util
from common.kerberos import Kerberos
from common.kafka_client import KafkaTopic
import datetime 

# get master configuration.
script_path = os.path.dirname(os.path.abspath(__file__))
conf_file = "{0}/ingest_conf.json".format(script_path)
master_conf = json.loads(open (conf_file).read())

def main():

    # input Parameters
    parser = argparse.ArgumentParser(description="Master Collector Ingest Daemon")
    parser.add_argument('-t','--type',dest='type',required=True,help='Type of data that will be ingested (Pipeline Configuration)',metavar='')
    parser.add_argument('-w','--workers',dest='workers_num',required=True,help='Number of workers for the ingest process',metavar='')
    parser.add_argument('-id','--ingestId',dest='ingest_id',required=False,help='Ingest ID',metavar='')
    args = parser.parse_args()

    # start collector based on data source type.
    start_collector(args.type,args.workers_num,args.ingest_id)

def start_collector(type,workers_num,id=None):

    # generate ingest id
    ingest_id = str(datetime.datetime.time(datetime.datetime.now())).replace(":","_").replace(".","_")
    
    # create logger.
    logger = Util.get_logger("SPOT.INGEST")

    # validate the given configuration exists in ingest_conf.json.
    if not type in master_conf["pipelines"]:
        logger.error("'{0}' type is not a valid configuration.".format(type));
        sys.exit(1)

    # validate the type is a valid module.
    if not Util.validate_data_source(master_conf["pipelines"][type]["type"]):
        logger.error("'{0}' type is not configured. Please check you ingest conf file".format(master_conf["pipelines"][type]["type"]));
        sys.exit(1)
    
    # validate if kerberos authentication is required.
    if os.getenv('KRB_AUTH'):
        kb = Kerberos()
        kb.authenticate()
    
    # kafka server info.
    logger.info("Initializing kafka instance")
    k_server = master_conf["kafka"]['kafka_server']
    k_port = master_conf["kafka"]['kafka_port']

    # required zookeeper info.
    zk_server = master_conf["kafka"]['zookeper_server']
    zk_port = master_conf["kafka"]['zookeper_port']
         
    topic = "SPOT-INGEST-{0}_{1}".format(type,ingest_id) if not id else id
    kafka = KafkaTopic(topic,k_server,k_port,zk_server,zk_port,workers_num)

    # create a collector instance based on data source type.
    logger.info("Starting {0} ingest instance".format(topic))
    module = __import__("pipelines.{0}.collector".format(master_conf["pipelines"][type]["type"]),fromlist=['Collector'])

    # start collector.
    ingest_collector = module.Collector(master_conf['hdfs_app_path'],kafka,type)
    ingest_collector.start()

if __name__=='__main__':
    main()