db_extractor.LoggingNeeds.LoggingNeeds.initiate_logger() - Code Metrics - danielgp/db-extractor - Measure and Improve Code Quality continuously with Scrutinizer

LoggingNeeds.initiate_logger() A
last analyzed 2021-05-03 14:59 UTC

↳ Parent: db_extractor.LoggingNeeds

Complexity

Conditions

Size

Total Lines	25
Code Lines	17

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	3
eloc	17
nop	3
dl	0
loc	25
rs	9.55
c	0
b	0
f	0

"""
LoggingNeeds

This library sets all required parameters for a rotating LOG file
"""
from datetime import datetime
# package for Log management
import logging
import logging.handlers as handlers


class LoggingNeeds:
    logger = None

    def initiate_logger(self, logger_file_name, logger_internal_name):
        # initiate Logging
        self.logger = logging.getLogger(logger_internal_name)
        # set logging level to desired level only if specified
        if logger_file_name == 'None':
            self.logger.setLevel(logging.NOTSET)
        else:
            self.logger.setLevel(logging.DEBUG)
            # defining log file and setting rotating logic
            log_handler = handlers.TimedRotatingFileHandler(logger_file_name,
                                                            when='h',
                                                            interval=1,
                                                            backupCount=5,
                                                            encoding='utf-8',
                                                            utc=True)
            # ensure timestamps are reported as UTC time-zone
            my_converter = lambda x, y: datetime.utcnow().timetuple()
            logging.Formatter.converter = my_converter
            # Here we define our formatter
            log_formatter = logging.Formatter(
                    '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
            # Here we set our logHandler's formatter
            log_handler.setFormatter(log_formatter)
            # pairing the handler with logging
            self.logger.addHandler(log_handler)


1			"""
2			LoggingNeeds
3
4			This library sets all required parameters for a rotating LOG file
5			"""
6			from datetime import datetime
7			# package for Log management
8			import logging
9			import logging.handlers as handlers
10
11
12			class LoggingNeeds:
13			logger = None
14
15			def initiate_logger(self, logger_file_name, logger_internal_name):
16			# initiate Logging
17			self.logger = logging.getLogger(logger_internal_name)
18			# set logging level to desired level only if specified
19			if logger_file_name == 'None':
20			self.logger.setLevel(logging.NOTSET)
21			else:
22			self.logger.setLevel(logging.DEBUG)
23			# defining log file and setting rotating logic
24			log_handler = handlers.TimedRotatingFileHandler(logger_file_name,
25			when='h',
26			interval=1,
27			backupCount=5,
28			encoding='utf-8',
29			utc=True)
30			# ensure timestamps are reported as UTC time-zone
31			my_converter = lambda x, y: datetime.utcnow().timetuple()
32			logging.Formatter.converter = my_converter
33			# Here we define our formatter
34			log_formatter = logging.Formatter(
35			'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
36			# Here we set our logHandler's formatter
37			log_handler.setFormatter(log_formatter)
38			# pairing the handler with logging
39			self.logger.addHandler(log_handler)
40

danielgp / db-extractor

LoggingNeeds.initiate_logger() A last analyzed 2021-05-03 14:59 UTC

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LoggingNeeds.initiate_logger() A
last analyzed 2021-05-03 14:59 UTC