def get_raw_data(args):
# find raw points in database
client = InfluxDBClient.from_DSN(args.influx_dsn)
# get series to query
check_series = {}
for list_spec in data_spec:
series = InfluxResult08.query(client, "list series %s" % list_spec)
check_series[list_spec] = []
for s in series:
check_series[list_spec].extend(s.fields.values())
# query the series and record the results according to the data spec
# and command line arguments
data_points = {}
for list_spec in check_series:
for series in check_series[list_spec]:
query = """SELECT
mean("%s") AS "used",
mean("%s") AS "capacity"
FROM %s
WHERE time > now() - %sd
GROUP BY time(%sd) ORDER ASC""" % \
(data_spec[list_spec]['used'],
data_spec[list_spec]['capacity'],
series, args.range, args.interval)
res = InfluxResult08.query(client, query)
for ts in res:
ts.tags['bytes_factor'] = data_spec[list_spec]['bytes_factor']
data_points[series] = res
return data_points
def find_first_point(dsn, search, interval=None):
"""Connect to an InfluxDB instance and find the first point in each series
optionally within the given intervala
Arguments:
dsn: an InflxDBClient DSN, for example:
influxdb://username:password@localhost:8086/database
search: series name or regex to search against
interval: length of history to search
Return: A list of InfluxResult objects representing the points
"""
client = InfluxDBClient.from_DSN(dsn)
if interval is not None:
where = "WHERE time > now() - %s" % (interval)
else:
where = ""
query = "SELECT * FROM %s %s LIMIT 1 ORDER ASC" % \
(search, where)
query_res = client.query(query)
result_objs = InfluxResult08.from_query(query_res)
return result_objs
