Hello,
I am writing a Prometheus exporter which has to rad different CSV files.
Each of them contains one entire day of data from the past (the goal is to
have the exporter read a new CSV file each day. One CSV file is uploaded to
the server each day, containing the data of the previous day.
IN the CSV file, I have the same metrics every 5 mns. e.g :
Date;Time;data
23.03.20;23:55:00;1
23.03.20;23:50:00;50
23.03.20;23:45:00;3
I struggle to add theses data in Prometheus properly.
class CSVCollector(object):
def collect(self):
# We list all the min files in the current directory
list_min = glob.glob("min*.csv")
metric = GaugeMetricFamily(
'day_tests_seconds',
'kw', labels=["jobname"])
for min in list_min :
with open(min) as csv_file:
csv_reader = csv.reader(csv_file, delimiter=';')
line_count = 0
for row in csv_reader:
if line_count == 1:
correct_date_format = row[0][:6] + "20" + row[0][6:]
datetime_row = correct_date_format + ';' + row[1]
timestamp = int(time.mktime(datetime.datetime.strptime(
datetime_row, "%d.%m.%Y;%H:%M:%S").timetuple()))
metric.add_metric(str(line_count), int(row[4]), timestamp)
line_count += 1
yield metric
if __name__ == '__main__':
# Usage: json_exporter.py port endpoint
start_http_server(int(sys.argv[1]))
REGISTRY.register(CSVCollector())
while True: time.sleep(1)
Prometheus just read the first line, add it as a metric and read exactly
the same again each time he scraps the exporter. What am I doing wrong ? I
feel like this data should be a Jauge, as it goes up and down, but
Prometheus seems that he doesn't want different data from the same Jauge in
one scrap?
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