Python LoggerManager.log_infoの例

コード例 #1

ファイル: find_anomalies.py プロジェクト: sobia20/X-Road-opmonitor

import analyzer_conf
import settings
from logger_manager import LoggerManager

import os
import time
import datetime
from dateutil.relativedelta import relativedelta

import numpy as np
import pandas as pd

db_manager = AnalyzerDatabaseManager(settings, analyzer_conf)
logger_m = LoggerManager(settings.LOGGER_NAME, 'analyzer')

logger_m.log_info('_tmp_find_anomalies_start', "Process started ...")

current_time = datetime.datetime.now()

# add first request timestamps for service calls that have appeared
logger_m.log_info(
    '_tmp_find_anomalies_1',
    "Add first request timestamps for service calls that have appeared ...")
logger_m.log_heartbeat(
    "Checking if completely new service calls have appeared",
    settings.HEARTBEAT_PATH, settings.HEARTBEAT_FILE, 'SUCCEEDED')
db_manager.add_first_request_timestamps_from_clean_data()
logger_m.log_info(
    '_tmp_find_anomalies_1',
    "Add first request timestamps for service calls that have appeared ... Done!"
)

コード例 #2

import settings

from logger_manager import LoggerManager

import os
import time
import datetime
from dateutil.relativedelta import relativedelta

import numpy as np
import pandas as pd

db_manager = AnalyzerDatabaseManager(settings, analyzer_conf)
logger_m = LoggerManager(settings.LOGGER_NAME, 'analyzer')

logger_m.log_info('_tmp_train_or_update_historic_averages_models_start',
                  "Process started ...")

# add first request timestamps for service calls that have appeared
logger_m.log_info(
    '_tmp_train_or_update_historic_averages_models_1',
    "Checking if completely new service calls have appeared ...")
logger_m.log_heartbeat(
    "Checking if completely new service calls have appeared",
    settings.HEARTBEAT_PATH, settings.HEARTBEAT_FILE, 'SUCCEEDED')
db_manager.add_first_request_timestamps_from_clean_data()
logger_m.log_info(
    '_tmp_train_or_update_historic_averages_models_1',
    "Checking if completely new service calls have appeared ... Done!")

#
logger_m.log_info('_tmp_train_or_update_historic_averages_models_2',