def parse_metric(metric, mins_to_check=5):
    ret = {
        'num_series_with_data': 0,
        'num_series_no_data': 0,
        'error': None,
        'raw': '',
        'series': [],
    }
    try:
        data = get_data(metric)
    except requests.exceptions.RequestException, e:
        ret['error'] = 'Error getting data from Graphite: %s' % e
        ret['raw'] = ret['error']
        logging.error('Error getting data from Graphite: %s' % e)
        return ret
    all_values = []
    for target in data:
        series = {'values': [
            float(t[0]) for t in target['datapoints'][-mins_to_check:] if t[0] is not None]}
        series["target"] = target["target"]
        all_values.extend(series['values'])
        if series['values']:
            ret['num_series_with_data'] += 1
            series['max'] = max(series['values'])
            series['min'] = min(series['values'])
            series['average_value'] = sum(series['values']) / len(series['values'])
            ret['series'].append(series)
        else:
            ret['num_series_no_data'] += 1
    if all_values:
        ret['average_value'] = sum(all_values) / len(all_values)
    ret['all_values'] = all_values
    ret['raw'] = data
    return ret
Returns dict with:
dataset/ETHPy150Open arachnys/cabot/cabot/cabotapp/graphite.py/parse_metric