Lack of logs fixed

Author: Jakub-Wysocki

ad_model.py

@@ -15,9 +15,9 @@
 # ==================================================================================
 
 import joblib
-from mdclogpy import Logger
+from mdclogpy import Logger, Level
 
-logger = Logger(name=__name__)
+logger = Logger(name=__name__, level=Level.DEBUG)
 
 
 class modelling(object):

ad_train.py

@@ -21,9 +21,9 @@
 from sklearn.metrics import classification_report, f1_score
 from sklearn.ensemble import IsolationForest
 from sklearn.model_selection import RandomizedSearchCV
-from mdclogpy import Logger
+from mdclogpy import Logger, Level
 
-logger = Logger(name=__name__)
+logger = Logger(name=__name__, level= Level.DEBUG)
 
 
 class ModelTraining(object):

database.py

@@ -17,11 +17,11 @@
 import pandas as pd
 from influxdb import DataFrameClient
 from configparser import ConfigParser
-from mdclogpy import Logger
+from mdclogpy import Logger, Level
 from influxdb.exceptions import InfluxDBClientError, InfluxDBServerError
 from requests.exceptions import RequestException, ConnectionError
 
-logger = Logger(name=__name__)
+logger = Logger(name=__name__, level=Level.DEBUG)
 
 
 class DATABASE(object):

main.py

@@ -3,7 +3,7 @@
 import time
 import pandas as pd
 import schedule
-from mdclogpy import Logger
+from mdclogpy import Logger, Level
 from ad_model import modelling, CAUSE
 from ad_train import ModelTraining
 from database import DATABASE
@@ -14,7 +14,7 @@
 threshold = None
 # sdl = SDLWrapper(use_fake_sdl=True)
 
-logger = Logger(name=__name__)
+logger = Logger(name=__name__, level=Level.DEBUG)
 
 def load_model():
     global md