How to use the glances.logger.logger.debug function in Glances

def exit(self):
        """Just log an event when Glances exit."""
        logger.debug("Stop the {} plugin".format(self.plugin_name))

def exit(self):
        """Close the CSV file."""
        logger.debug("Finalise export interface %s" % self.export_name)
        self.csv_file.close()

else:
            logger.debug("Extended stats for top process are enabled")
            glances_processes.enable_extended()

        # Manage optionnal process filter
        if args.process_filter is not None:
            glances_processes.process_filter = args.process_filter

        if (not WINDOWS) and args.no_kernel_threads:
            # Ignore kernel threads in process list
            glances_processes.disable_kernel_threads()

        # Initial system informations update
        start_duration.reset()
        self.stats.update()
        logger.debug("First stats update duration: {} seconds".format(start_duration.get()))

        if self.quiet:
            logger.info("Quiet mode is ON, nothing will be displayed")
            # In quiet mode, nothing is displayed
            glances_processes.max_processes = 0
        elif args.stdout:
            logger.info("Stdout mode is ON, following stats will be displayed: {}".format(args.stdout))
            # Init screen
            self.screen = GlancesStdout(config=config, args=args)
        elif args.stdout_csv:
            logger.info("Stdout CSV mode is ON, following stats will be displayed: {}".format(args.stdout))
            # Init screen
            self.screen = GlancesStdoutCsv(config=config, args=args)
        else:
            # Default number of processes to displayed is set to 50
            glances_processes.max_processes = 50

if self.args.snmp_force:
            # Force SNMP instead of Glances server
            self.client_mode = 'snmp'
        else:
            # First of all, trying to connect to a Glances server
            if not self._login_glances():
                return False

        # Try SNMP mode
        if self.client_mode == 'snmp':
            if not self._login_snmp():
                return False

        # Load limits from the configuration file
        # Each client can choose its owns limits
        logger.debug("Load limits from the client configuration file")
        self.stats.load_limits(self.config)

        # Init screen
        if self.quiet:
            # In quiet mode, nothing is displayed
            logger.info("Quiet mode is ON: Nothing will be displayed")
        else:
            self.screen = GlancesCursesClient(config=self.config, args=self.args)

        # Return True: OK
        return True

for net in netiocounters:
                # Do not take hidden interface into account
                if self.is_hide(net):
                    continue

                # Grab the stats using the Wifi Python lib
                try:
                    wifi_cells = Cell.all(net)
                except InterfaceError as e:
                    # Not a Wifi interface
                    logger.debug("WIFI plugin: Scan InterfaceError ({})".format(e))
                    pass
                except Exception as e:
                    # Other error
                    logger.debug("WIFI plugin: Can not grab cellule stats ({})".format(e))
                    pass
                else:
                    for wifi_cell in wifi_cells:
                        hotspot = {
                            'key': self.get_key(),
                            'ssid': wifi_cell.ssid,
                            'signal': wifi_cell.signal,
                            'quality': wifi_cell.quality,
                            'encrypted': wifi_cell.encrypted,
                            'encryption_type': wifi_cell.encryption_type if wifi_cell.encrypted else None
                        }
                        # Add the hotspot to the list
                        stats.append(hotspot)

        elif self.input_method == 'snmp':
            # Update stats using SNMP

"""
        cpu_new = {}
        ret = {'total': 0.0}

        # Read the stats
        # For each container, you will find a pseudo-file cpuacct.stat,
        # containing the CPU usage accumulated by the processes of the container.
        # Those times are expressed in ticks of 1/USER_HZ of a second.
        # On x86 systems, USER_HZ is 100.
        try:
            cpu_new['total'] = all_stats['cpu_stats']['cpu_usage']['total_usage']
            cpu_new['system'] = all_stats['cpu_stats']['system_cpu_usage']
            cpu_new['nb_core'] = len(all_stats['cpu_stats']['cpu_usage']['percpu_usage'] or [])
        except KeyError as e:
            # all_stats do not have CPU information
            logger.debug("docker plugin - Cannot grab CPU usage for container {} ({})".format(container_id, e))
            logger.debug(all_stats)
        else:
            # Previous CPU stats stored in the cpu_old variable
            if not hasattr(self, 'cpu_old'):
                # First call, we init the cpu_old variable
                self.cpu_old = {}
                try:
                    self.cpu_old[container_id] = cpu_new
                except (IOError, UnboundLocalError):
                    pass

            if container_id not in self.cpu_old:
                try:
                    self.cpu_old[container_id] = cpu_new
                except (IOError, UnboundLocalError):
                    pass

def _load_cache(self):
        """Load cache file and return cached data"""
        # If the cached file exist, read-it
        max_refresh_date = timedelta(days=7)
        cached_data = {}
        try:
            with open(self.cache_file, 'rb') as f:
                cached_data = pickle.load(f)
        except Exception as e:
            logger.debug("Cannot read version from cache file: {} ({})".format(self.cache_file, e))
        else:
            logger.debug("Read version from cache file")
            if (cached_data['installed_version'] != self.installed_version() or
                    datetime.now() - cached_data['refresh_date'] > max_refresh_date):
                # Reset the cache if:
                # - the installed version is different
                # - the refresh_date is > max_refresh_date
                cached_data = {}
        return cached_data

Input: id is the full container id
               all_stats is the output of the stats method of the Docker API
        Output: a dict {'rss': 1015808, 'cache': 356352,  'usage': ..., 'max_usage': ...}
        """
        ret = {}
        # Read the stats
        try:
            # Do not exist anymore with Docker 1.11 (issue #848)
            # ret['rss'] = all_stats['memory_stats']['stats']['rss']
            # ret['cache'] = all_stats['memory_stats']['stats']['cache']
            ret['usage'] = all_stats['memory_stats']['usage']
            ret['limit'] = all_stats['memory_stats']['limit']
            ret['max_usage'] = all_stats['memory_stats']['max_usage']
        except (KeyError, TypeError) as e:
            # all_stats do not have MEM information
            logger.debug("docker plugin - Cannot grab MEM usage for container {} ({})".format(container_id, e))
            logger.debug(all_stats)
        # Return the stats
        return ret

def export(self, name, columns, points):
        """Export the stats to the Statsd server."""
        if name == self.plugins_to_export()[0] and self.buffer != {}:
            # One complete loop have been done
            logger.debug("Export stats ({}) to RESTful endpoint ({})".format(listkeys(self.buffer),
                                                                             self.client))
            # Export stats
            post(self.client, json=self.buffer, allow_redirects=True)
            # Reset buffer
            self.buffer = {}

        # Add current stat to the buffer
        self.buffer[name] = dict(zip(columns, points))

def export(self, name, columns, points):
        """Write the points in RabbitMQ."""
        data = ('hostname=' + self.hostname + ', name=' + name +
                ', dateinfo=' + datetime.datetime.utcnow().isoformat())
        for i in range(len(columns)):
            if not isinstance(points[i], Number):
                continue
            else:
                data += ", " + columns[i] + "=" + str(points[i])
        logger.debug(data)
        try:
            self.client.basic_publish(exchange='', routing_key=self.queue, body=data)
        except Exception as e:
            logger.error("Can not export stats to RabbitMQ (%s)" % e)