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use python to speed up things
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76
toLineProtocol.py
Executable file
76
toLineProtocol.py
Executable file
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#!/usr/bin/env python3
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#
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# Converts CSV exports from https://www.madavi.de/sensor/csvfiles.php to
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# InfluxDB LineProtocol https://docs.influxdata.com/influxdb/v1.2/write_protocols/line_protocol_reference/
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#
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# Note: timestamps are in seconds, therefore precision "s" needs to be set
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# when writing, see https://docs.influxdata.com/influxdb/v1.2/tools/api/#write
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#
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# Settings:
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#
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# Please set
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# * SENSOR_ID
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# * INFLUXDB_DATABASE
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# in your environment
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# CSV file specs
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#
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# | DB Field | DB field | CSV Column | CSV Format
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# |-------------|----------|-----------------------|--------------------------
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# | time | time | 1 Time | 2017/05/19 00:00:11 (UTC)
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# | | | 2 durP1 |
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# | | | 3 ratioP1 |
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# | | | 4 P1 |
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# | | | 5 durP2 |
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# | | | 6 ratioP2 |
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# | | | 7 P2 |
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# | SDS_P1 | field | 8 SDS_P1 | 10.36
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# | SDS_P2 | field | 9 SDS_P2 | 9.50
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# | temperature | field | 10 Temp | 16.00
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# | humidity | field | 11 Humidity | 79.00
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# | | | 12 BMP_temperature |
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# | | | 13 BMP_pressure |
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# | | | 14 BME280_temperature |
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# | | | 15 BME280_humidity |
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# | | | 16 BME280_pressure |
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# | samples | field | 17 Samples | 828799
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# | min_micro | field | 18 Min_cycle | 172
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# | max_micro | field | 19 Max_cycle | 25198
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# | | | 20 Signal | -91
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# | node | tag | -- -- | e.g. esp8266-16229960
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#
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import os
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import sys
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import csv
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from datetime import datetime, timedelta
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def getTimestamp(timestr):
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naiveDt = datetime.strptime(timestr, '%Y/%m/%d %H:%M:%S');
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utcTimestamp = (naiveDt - datetime(1970, 1, 1)) / timedelta(seconds=1)
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return int(utcTimestamp)
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sensor_id = os.environ.get('SENSOR_ID', '16229960')
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database = os.environ.get('INFLUXDB_DATABASE', 'feinstaub')
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node = 'esp8266-' + sensor_id
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outline = '{database},node={node} SDS_P1={sds_p1},SDS_P2={sds_p2},humidity={humidity},min_micro={min_micro},max_micro={max_micro},samples={samples},temperature={temperature} {timestamp}'
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reader = csv.reader(sys.stdin, delimiter=';')
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for row in reader:
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if (row[0] == 'Time'):
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continue
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values = {}
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values['database'] = database
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values['node'] = node
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values['timestamp'] = getTimestamp(row[0])
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values['sds_p1'] = row[7]
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values['sds_p2'] = row[8]
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values['temperature'] = row[9]
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values['humidity'] = row[10]
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values['samples'] = row[16]
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values['min_micro'] = row[17]
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values['max_micro'] = row[18]
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print(outline.format(**values))
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