Example #1
0
    def _consumer_campaign_info(self):
        coll = 'campaigns'
        for msg in self._campaign_info_consumer:
            try:
                '''
                @:var data:
                {
                    'agency': 'wxect',
                    'account': 'MyAccount',
                    'campaigns: [
                        { 
                            cid: XX,
                            
                         },
                    ]
                }
                '''
                logger.info('Receive campaign info from kafka')
                data = json.loads(msg.value)
                for campaign in data['campaigns']:
                    campaign.update({
                        'agency': data['agency'],
                        'account': data['account']
                    })

                    self._mongo[coll].replace_one(
                        {
                            'cid': campaign['cid'],
                            'agency': data['agency'],
                            'account': data['account']
                        }, campaign, True)

            except Exception as e:
                logger.error(e)
Example #2
0
File: bowler.py Project: adWharf/dc
 def __init__(self):
     Bowler.__init__(self)
     kafka_server = '%s:%d' % (config.get('app.kafka.host'), config.get('app.kafka.port'))
     self._consumer = KafkaConsumer(AD_PROCESSED_TOPIC,
                                    client_id='ad_statistic_catcher_reporter',
                                    group_id='ad_statistic_catcher',
                                    bootstrap_servers=kafka_server)
     logger.info('Connect to kafka[%s] successfully' % kafka_server)
Example #3
0
File: bowler.py Project: adWharf/dc
 def _msg_generator(self):
     while True:
         while self._data_q.poll():
             try:
                 logger.info('Receive ad data')
                 data = str(self._data_q.recv_bytes(), encoding='utf-8')
                 yield json.loads(data)
             except Exception as e:
                 logger.error(e)
         time.sleep(5)
Example #4
0
    def _consumer_statistic(self):
        for msg in self._consumer:
            try:
                logger.info('Receive ad info from kafka')
                data = json.loads(msg.value)
                if cache.get('dc.catcher.reporter.%s.%s' %
                             (data['account'], data['update_time'])):
                    continue
                account_name = data['account']
                account = self._db.table('accounts').where(
                    'name', account_name).first()
                if not account:
                    continue
                order_data = fetch_order_info(
                    data['update_time'][:10] + ' 00:00:00',
                    data['update_time'])
                records = connect_order(data['data'], order_data)
                points = []
                avai_fields = [
                    'total_cost', 'view_count', 'sy_cost', 'click_count',
                    '1day_action_step', '1day_action_reversion',
                    '1day_action_complete_order',
                    '1day_action_complete_order_amount'
                ]
                avai_tags = ['account', 'cname']
                with self._db.transaction():
                    for record in records:
                        fields = {}
                        tags = {}
                        record['account'] = account_name
                        record['account_id'] = account['id']
                        for key in avai_fields:
                            if key in record:
                                fields[key] = float(record[key])
                        for key in avai_tags:
                            if key in record:
                                tags[key] = str(record[key])
                        points.append({
                            'measurement':
                            record['agency'],
                            'tags':
                            tags,
                            'time':
                            pendulum.from_format(record['update_time'],
                                                 '%Y-%m-%d %H:%M:%S'),
                            'fields':
                            fields
                        })
                        self._db.table('points').insert(record)
                        self._producer.send(AD_PROCESSED_TOPIC, record)
                self._influxdb.write_points(points)

            except Exception as e:
                logger.error(e)
Example #5
0
 def __init__(self):
     Catcher.__init__(self)
     kafka_server = '%s:%d' % (config.get('app.kafka.host'),
                               config.get('app.kafka.port'))
     logger.info('Try to connect to kafka...')
     self._consumer = KafkaConsumer(AGENCY_COMMAND_REPORTER_TOPIC,
                                    client_id='commander_result_reporter',
                                    group_id='commander_result_reporter',
                                    bootstrap_servers=kafka_server)
     logger.info('Connect to kafka[%s] successfully' %
                 AGENCY_COMMAND_REPORTER_TOPIC)
     self._consumer_command_res()
Example #6
0
    def trim(self):
        camp_model = Campaign(self._mongo)
        for data in self._bowler:
            try:
                # Only active campaign need to trim
                if data['status'] != ADSTATUS_NORMAL:
                    continue

                strategies = Strategy.where('account_id',
                                            data['account_id']).get()
                # actions = []

                campaign = camp_model.find(data['campaign_id'])
                if not campaign:
                    logger.notice('Campaign info not found for [%d]' %
                                  data['campaign_id'])
                    continue

                wxcampaign = WXCampaign(campaign)
                actions = self._filter(data, strategies, wxcampaign)
                # for strategy in strategies:
                #     if not self._filter(data, strategy, wxcampaign):
                #         continue
                #     if not self._history_filter(data, strategy, wxcampaign):
                #         continue
                #     actions.append(self._parse_actions(data, strategy))
                commands = []
                for act in actions:
                    action = Action()
                    action.campaign_id = data['campaign_id']
                    action.action = act['action']
                    action.value = act['value']
                    action.triggered_point = json.dumps(data)
                    action.account_id = data['account_id']
                    action.save()
                    commands.append(action.serialize())
                # if len(commands) == 0:
                #     commands.append(build_command(data, 'timeset_end', random.randint(6, 20)))
                if len(commands) > 0:
                    self._commander.transmit({
                        'target': 'client',
                        'client': data['agency'],
                        'commands': commands
                    })
                    logger.info(
                        'Campaign [%d] should be trimmed, send action successfully'
                        % data['campaign_id'])

            except Exception as e:
                logger.error('Exception occurred when handle data [%s]' %
                             json.dumps(data))
                logger.error(e)
Example #7
0
 def _consumer_command_res(self):
     for msg in self._consumer:
         try:
             logger.info('Receive command results from kafka')
             action = json.loads(msg.value)
             Action.where('id', action['id']).update({
                 'resp_cnt':
                 action['resp_cnt'],
                 'resp_status_code':
                 action['resp_status']
             })
         except Exception as e:
             logger.error(e)
Example #8
0
    def __init__(self):
        logger.info('Init Reporter...')
        Catcher.__init__(self)
        self._mongo = db.get_mongo_client(config.get('app.db.mongo'))
        kafka_server = '%s:%d' % (config.get('app.kafka.host'),
                                  config.get('app.kafka.port'))
        logger.info('Try to connect to kafka...')
        self._consumer = KafkaConsumer(
            AD_ORIGIN_STATISTIC_TOPIC,
            client_id='ad_statistic_catcher_reporter',
            group_id='ad_statistic_catcher',
            bootstrap_servers=kafka_server)
        logger.info('Connect to kafka[%s] successfully' %
                    AD_ORIGIN_STATISTIC_TOPIC)

        self._producer = KafkaProducer(
            value_serializer=lambda v: json.dumps(v).encode('utf-8'),
            client_id='ad.statistic.worker',
            compression_type='gzip',
            bootstrap_servers=kafka_server,
            retries=3)

        self._campaign_info_consumer = KafkaConsumer(
            AD_CAMPAIGN_INFO_TOPIC,
            client_id='ad_campaign_catcher_reporter',
            group_id='ad_campaign_catcher',
            bootstrap_servers=kafka_server)
        logger.info('Connect to kafka[%s] successfully' %
                    AD_CAMPAIGN_INFO_TOPIC)
        t1 = threading.Thread(target=Reporter._consumer_statistic,
                              args=(self, ))
        t2 = threading.Thread(target=Reporter._consumer_campaign_info,
                              args=(self, ))
        t1.start()
        t2.start()
        t1.join()
        t2.join()