How to use the glances.compat.iteritems function in Glances

try:
                    processiter = sorted(iteritems(processdict),
                                         key=lambda x: x[1][self.sort_key],
                                         reverse=self.sort_reverse)
                except (KeyError, TypeError) as e:
                    logger.error("Cannot sort process list by {0}: {1}".format(self.sort_key, e))
                    logger.error("%s" % str(iteritems(processdict)[0]))
                    # Fallback to all process (issue #423)
                    processloop = iteritems(processdict)
                    first = False
                else:
                    processloop = processiter[0:self.max_processes]
                    first = True
            else:
                # Get all processes stats
                processloop = iteritems(processdict)
                first = False

            for i in processloop:
                # Already existing mandatory stats
                procstat = i[1]
                if self.max_processes is not None:
                    # Update with standard stats
                    # and extended stats but only for TOP (first) process
                    s = self.__get_process_stats(i[0],
                                                 mandatory_stats=False,
                                                 standard_stats=True,
                                                 extended_stats=first)
                    if s is None:
                        continue
                    procstat.update(s)
                # Add a specific time_since_update stats for bitrate

def __build_export(self, stats):
        """Build the export lists."""
        export_names = []
        export_values = []

        if isinstance(stats, dict):
            # Stats is a dict
            # Is there a key ?
            if 'key' in iterkeys(stats) and stats['key'] in iterkeys(stats):
                pre_key = '{}.'.format(stats[stats['key']])
            else:
                pre_key = ''
            # Walk through the dict
            for key, value in iteritems(stats):
                if isinstance(value, bool):
                    value = json.dumps(value)
                if isinstance(value, list):
                    try:
                        value = value[0]
                    except IndexError:
                        value = ''
                if isinstance(value, dict):
                    item_names, item_values = self.__build_export(value)
                    item_names = [pre_key + key.lower() + str(i) for i in item_names]
                    export_names += item_names
                    export_values += item_values
                else:
                    export_names.append(pre_key + key.lower())
                    export_values.append(value)
        elif isinstance(stats, list):

def export(self, name, columns, points):
        """Write the points to the Prometheus exporter using Gauge."""
        logger.debug("Export {} stats to Prometheus exporter".format(name))

        # Remove non number stats and convert all to float (for Boolean)
        data = {k: float(v) for (k, v) in iteritems(dict(zip(columns, points))) if isinstance(v, Number)}

        # Write metrics to the Prometheus exporter
        for k, v in iteritems(data):
            # Prometheus metric name: prefix_
            metric_name = self.prefix + self.METRIC_SEPARATOR + str(name) + self.METRIC_SEPARATOR + str(k)
            # Prometheus is very sensible to the metric name
            # See: https://prometheus.io/docs/practices/naming/
            for c in ['.', '-', '/', ' ']:
                metric_name = metric_name.replace(c, self.METRIC_SEPARATOR)
            # Get the labels
            labels = self.parse_tags(self.labels)
            # Manage an internal dict between metric name and Gauge
            if metric_name not in self._metric_dict:
                self._metric_dict[metric_name] = Gauge(metric_name, k,
                                                       labelnames=listkeys(labels))
            # Write the value
            if hasattr(self._metric_dict[metric_name], 'labels'):
                # Add the labels (see issue #1255)
                self._metric_dict[metric_name].labels(**labels).set(v)

def update(self):
        """Update the command result attributed."""
        # Get the current processes list (once)
        processlist = glances_processes.getlist()

        # Iter upon the AMPs dict
        for k, v in iteritems(self.get()):
            if not v.enable():
                # Do not update if the enable tag is set
                continue

            amps_list = self._build_amps_list(v, processlist)

            if len(amps_list) > 0:
                # At least one process is matching the regex
                logger.debug("AMPS: {} processes {} detected ({})".format(len(amps_list),
                                                                          k,
                                                                          amps_list))
                # Call the AMP update method
                thread = threading.Thread(target=v.update_wrapper, args=[amps_list])
                thread.start()
            else:
                # Set the process number to 0

standard_stats=True,
                                                     extended_stats=False)
                if new_stats is not None:
                    node.stats.update(new_stats)

                # Add a specific time_since_update stats for bitrate
                node.stats['time_since_update'] = time_since_update

        else:
            # Process optimization
            # Only retreive stats for visible processes (max_processes)
            if self.max_processes is not None:
                # Sort the internal dict and cut the top N (Return a list of tuple)
                # tuple=key (proc), dict (returned by __get_process_stats)
                try:
                    processiter = sorted(iteritems(processdict),
                                         key=lambda x: x[1][self.sort_key],
                                         reverse=self.sort_reverse)
                except (KeyError, TypeError) as e:
                    logger.error("Cannot sort process list by {0}: {1}".format(self.sort_key, e))
                    logger.error("%s" % str(iteritems(processdict)[0]))
                    # Fallback to all process (issue #423)
                    processloop = iteritems(processdict)
                    first = False
                else:
                    processloop = processiter[0:self.max_processes]
                    first = True
            else:
                # Get all processes stats
                processloop = iteritems(processdict)
                first = False

# Add a specific time_since_update stats for bitrate
                node.stats['time_since_update'] = time_since_update

        else:
            # Process optimization
            # Only retreive stats for visible processes (max_processes)
            if self.max_processes is not None:
                # Sort the internal dict and cut the top N (Return a list of tuple)
                # tuple=key (proc), dict (returned by __get_process_stats)
                try:
                    processiter = sorted(iteritems(processdict),
                                         key=lambda x: x[1][self.sort_key],
                                         reverse=self.sort_reverse)
                except (KeyError, TypeError) as e:
                    logger.error("Cannot sort process list by {0}: {1}".format(self.sort_key, e))
                    logger.error("%s" % str(iteritems(processdict)[0]))
                    # Fallback to all process (issue #423)
                    processloop = iteritems(processdict)
                    first = False
                else:
                    processloop = processiter[0:self.max_processes]
                    first = True
            else:
                # Get all processes stats
                processloop = iteritems(processdict)
                first = False

            for i in processloop:
                # Already existing mandatory stats
                procstat = i[1]
                if self.max_processes is not None:
                    # Update with standard stats

def export(self, name, columns, points):
        """Write the points to the Prometheus exporter using Gauge."""
        logger.debug("Export {} stats to Prometheus exporter".format(name))

        # Remove non number stats and convert all to float (for Boolean)
        data = {k: float(v) for (k, v) in iteritems(dict(zip(columns, points))) if isinstance(v, Number)}

        # Write metrics to the Prometheus exporter
        for k, v in iteritems(data):
            # Prometheus metric name: prefix_
            metric_name = self.prefix + self.METRIC_SEPARATOR + str(name) + self.METRIC_SEPARATOR + str(k)
            # Prometheus is very sensible to the metric name
            # See: https://prometheus.io/docs/practices/naming/
            for c in ['.', '-', '/', ' ']:
                metric_name = metric_name.replace(c, self.METRIC_SEPARATOR)
            # Get the labels
            labels = self.parse_tags(self.labels)
            # Manage an internal dict between metric name and Gauge
            if metric_name not in self._metric_dict:
                self._metric_dict[metric_name] = Gauge(metric_name, k,
                                                       labelnames=listkeys(labels))
            # Write the value

"""Build the sensors list depending of the type.

        type: SENSOR_TEMP_UNIT or SENSOR_FAN_UNIT

        output: a list
        """
        ret = []
        if type == SENSOR_TEMP_UNIT and self.init_temp:
            input_list = self.stemps
            self.stemps = psutil.sensors_temperatures()
        elif type == SENSOR_FAN_UNIT and self.init_fan:
            input_list = self.sfans
            self.sfans = psutil.sensors_fans()
        else:
            return ret
        for chipname, chip in iteritems(input_list):
            i = 1
            for feature in chip:
                sensors_current = {}
                # Sensor name
                if feature.label == '':
                    sensors_current['label'] = chipname + ' ' + str(i)
                else:
                    sensors_current['label'] = feature.label
                # Fan speed and unit
                sensors_current['value'] = int(feature.current)
                sensors_current['unit'] = type
                # Add sensor to the list
                ret.append(sensors_current)
                i += 1
        return ret