def metrics(self, queue_type=None, queue_id=None):
        """Provides a way to get statistics about various parameters like,
        * global enqueue / dequeue rates per min.
        * per queue enqueue / dequeue rates per min.
        * queue length of each queue.
        * list of queue ids for each queue type.
        """
        if queue_id is not None and not is_valid_identifier(queue_id):
            raise BadArgumentException('`queue_id` has an invalid value.')

        if queue_type is not None and not is_valid_identifier(queue_type):
            raise BadArgumentException('`queue_type` has an invalid value.')

        response = {
            'status': 'failure'
        }
        if not queue_type and not queue_id:
            # return global stats.
            # list of active queue types (ready + active)
            active_queue_types = self._r.smembers(
                '%s:active:queue_type' % self._key_prefix)
            ready_queue_types = self._r.smembers(
                '%s:ready:queue_type' % self._key_prefix)
            all_queue_types = active_queue_types | ready_queue_types
            # global rates for past 10 minutes
            timestamp = str(generate_epoch())
            keys = [
                self._key_prefix
            ]
            args = [
                timestamp
            ]

            enqueue_details, dequeue_details = self._lua_metrics(
                keys=keys, args=args)

            enqueue_counts = {}
            dequeue_counts = {}
            # the length of enqueue & dequeue details are always same.
            for i in xrange(0, len(enqueue_details), 2):
                enqueue_counts[str(enqueue_details[i])] = int(
                    enqueue_details[i + 1] or 0)
                dequeue_counts[str(dequeue_details[i])] = int(
                    dequeue_details[i + 1] or 0)

            response.update({
                'status': 'success',
                'queue_types': list(all_queue_types),
                'enqueue_counts': enqueue_counts,
                'dequeue_counts': dequeue_counts
            })
            return response
        elif queue_type and not queue_id:
            # return list of queue_ids.
            # get data from two sorted sets in a transaction
            pipe = self._r.pipeline()
            pipe.zrange('%s:%s' % (self._key_prefix, queue_type), 0, -1)
            pipe.zrange('%s:%s:active' % (self._key_prefix, queue_type), 0, -1)
            ready_queues, active_queues = pipe.execute()
            # extract the queue_ids from the queue_id:job_id string
            active_queues = [i.split(':')[0] for i in active_queues]
            all_queue_set = set(ready_queues) | set(active_queues)
            response.update({
                'status': 'success',
                'queue_ids': list(all_queue_set)
            })
            return response
        elif queue_type and queue_id:
            # return specific details.
            active_queue_types = self._r.smembers(
                '%s:active:queue_type' % self._key_prefix)
            ready_queue_types = self._r.smembers(
                '%s:ready:queue_type' % self._key_prefix)
            all_queue_types = active_queue_types | ready_queue_types
            # queue specific rates for past 10 minutes
            timestamp = str(generate_epoch())
            keys = [
                '%s:%s:%s' % (self._key_prefix, queue_type, queue_id)
            ]
            args = [
                timestamp
            ]

            enqueue_details, dequeue_details = self._lua_metrics(
                keys=keys, args=args)

            enqueue_counts = {}
            dequeue_counts = {}
            # the length of enqueue & dequeue details are always same.
            for i in xrange(0, len(enqueue_details), 2):
                enqueue_counts[str(enqueue_details[i])] = int(
                    enqueue_details[i + 1] or 0)
                dequeue_counts[str(dequeue_details[i])] = int(
                    dequeue_details[i + 1] or 0)

            # get the queue length for the job queue
            queue_length = self._r.llen('%s:%s:%s' % (
                self._key_prefix, queue_type, queue_id))

            response.update({
                'status': 'success',
                'queue_length': int(queue_length),
                'enqueue_counts': enqueue_counts,
                'dequeue_counts': dequeue_counts
            })
            return response
        elif not queue_type and queue_id:
            raise BadArgumentException(
                '`queue_id` should be accompanied by `queue_type`.')

        return response
dataset/ETHPy150Open plivo/sharq/sharq/queue.py/SharQ.metrics/original