Example #1
0
def update(metric: dict) -> dict:

    db = mongodb.connect()
    current_time = int(time.time())

    saved_metric = db.mtrc.metrics.find_one({
        'type': 'counter',
        'name': metric['name'],
        'labels': metric['labels'],
        'average': metric['average'],
    })

    if not saved_metric:
        db.mtrc.metrics.insert_one({
            'type': 'counter',
            'name': metric['name'],
            'labels': metric['labels'],
            'average': int(metric['average']),
            'description': metric['description'],
            'value': float(metric['value']),
            'date': current_time,
        })
        return True

    db.mtrc.metrics.update_one({'_id': saved_metric['_id']}, {
        '$set': {'date': current_time},
        '$inc': {'value': float(metric['value'])},
    })
    return True
Example #2
0
def update(metric: dict) -> dict:

    db = mongodb.connect()
    current_time = int(time.time())

    saved_metric = db.mtrc.metrics.find_one({
        'type': 'gauge',
        'name': metric['name'],
        'labels': metric['labels'],
    })

    document = {
        'type': 'gauge',
        'name': metric['name'],
        'labels': metric['labels'],
        'value': float(metric['value']),
        'date': current_time,
    }

    if 'description' in metric:
        document['description'] = metric['description']

    if not saved_metric:
        db.mtrc.metrics.insert_one(document)
        return True

    db.mtrc.metrics.update_one({'_id': saved_metric['_id']}, {'$set': {
            'date': current_time,
            'value': float(metric['value']),
    }})
    return True
Example #3
0
def update(metric: dict) -> bool:

    db = mongodb.connect()
    current_time = int(time.time())

    saved_metric = db.mtrc.metrics.find_one({
        'type': 'average',
        'name': metric['name'],
        'labels': metric['labels'],
        'average': metric['average'],
    })

    if not saved_metric:
        db.mtrc.metrics.insert_one({
            'type': 'average',
            'name': metric['name'],
            'labels': metric['labels'],
            'average': int(metric['average']),
            'description': metric['description'],
            'values': [{
                'date': int(metric['date']),
                'value': float(metric['value']),
            }],
            'value': float(metric['value']),
            'date': current_time,
        })
        return True

    # update range
    saved_metric['values'].append({
        'value': metric['value'],
        'date': metric['date'],
    })

    # remove old
    # filter range by average timeshist
    new_values = []
    for i in range(len(saved_metric['values'])):
        if saved_metric['values'][i]['date'] + saved_metric['average'] > current_time:
            new_values.append(saved_metric['values'][i])
    saved_metric['values'] = new_values

    # count average value and actual range
    saved_metric['value'] = sum([
        v['value'] for v in saved_metric['values']
    ]) / len(saved_metric['values'])

    # touch date
    saved_metric['date'] = current_time

    # store new data
    db.mtrc.metrics.update_one({'_id': saved_metric['_id']}, {
        '$set': saved_metric
    })

    return True
Example #4
0
def get_metrics() -> str:
    '''get metrics for prometheus'''
    db = mongodb.connect()
    result = ''
    metrics = [metric for metric in db.mtrc.metrics.find()]
    for metric in metrics:
        if 'description' in metric:
            result += f"# HELP {metric['name']} {metric['description']}\n"
            result += f"# TYPE {metric['name']} {metric['type']}\n"
        result += f"{metric['name']}_{metric['type']}{get_labels_string(metric['labels'])} {metric['value']}\n"
    return result
Example #5
0
def remove(metric_name: str) -> bool:
    db = mongodb.connect()
    db.mtrc.metrics.remove({'type': 'average', 'name': metric['name']})
    return True
Example #6
0
def drop_all_metrics() -> bool:
    '''drop all metrics'''
    db = mongodb.connect()
    return db.drop_database('mtrc')