get rid of linting warnings

to_line_protocol.py

@@ -0,0 +1,90 @@
+#!/usr/bin/env python3
+
+""" Converts CSV exports from https://www.madavi.de/sensor/csvfiles.php to InfluxDB LineProtocol
+
+    Note: timestamps are in seconds, therefore precision "s" needs to be set
+    when writing, see https://docs.influxdata.com/influxdb/v1.2/tools/api/#write
+
+Settings:
+
+    Please set
+    * SENSOR_ID
+    * INFLUXDB_DATABASE
+    in your environment
+
+CSV file spec:
+
+    Semiconlos are used as delimiters. First line are the header columns.
+    Generally the column name is used as a DB field name, but there are some legacy
+    exceptions like "time" instead of "Time" as listed in the following table.
+
+    | DB Field           | DB field | CSV Column         | CSV Format
+    |--------------------|----------|--------------------|--------------------------
+    | time               | time     | Time               | 2017/05/19 00:00:11 (UTC)
+    | ?                  | ?        | durP1              |
+    | ?                  | ?        | ratioP1            |
+    | ?                  | ?        | P1                 |
+    | ?                  | ?        | durP2              |
+    | ?                  | ?        | ratioP2            |
+    | ?                  | ?        | P2                 |
+    | SDS_P1             | field    | SDS_P1             | 10.36
+    | SDS_P2             | field    | SDS_P2             | 9.50
+    | PMS_P1             | field    | PMS_P1             |
+    | PMS_P2             | field    | PMS_P2             |
+    | temperature        | field    | Temp               | 16.00
+    | humidity           | field    | Humidity           | 79.00
+    | BMP_temperature    | field    | BMP_temperature    |
+    | BMP_pressure       | field    | BMP_pressure       |
+    | BME280_temperature | field    | BME280_temperature |
+    | BME280_humidity    | field    | BME280_humidity    |
+    | BME280_pressure    | field    | BME280_pressure    |
+    | samples            | field    | Samples            | 828799
+    | min_micro          | field    | Min_cycle          | 172
+    | max_micro          | field    | Max_cycle          | 25198
+    | signal             | field    | Signal             | -91
+    | node               | tag      | N/A filename?      | e.g. esp8266-16229960
+
+"""
+
+import os
+import sys
+import csv
+from datetime import datetime, timedelta
+
+def get_timestamp(timestr):
+    """Converts CSV time value to a UTC timestamp in seconds"""
+    naive_dt = datetime.strptime(timestr, '%Y/%m/%d %H:%M:%S')
+    utc = (naive_dt - datetime(1970, 1, 1)) / timedelta(seconds=1)
+    return int(utc)
+
+SENSOR_ID = os.environ.get('SENSOR_ID', '16229960')
+DATABASE = os.environ.get('INFLUXDB_DATABASE', 'sensors')
+
+NODE = 'esp8266-' + SENSOR_ID
+
+NAME_MAP = {
+    'Humidity':
+    'humidity',
+    'Max_cycle': 'max_micro',
+    'Samples': 'samples',
+    'Min_cycle': 'min_micro',
+    'Signal': 'signal',
+    'Temp': 'temperature'
+}
+
+READER = csv.DictReader(sys.stdin, delimiter=';')
+for row in READER:
+    measurements = []
+    for header, value in row.items():
+        if header == 'Time' or not value:
+            continue
+        measurements.append('{0}={1}'.format(NAME_MAP.get(header, header), value))
+
+    values = {
+        'database': DATABASE,
+        'node': NODE,
+        'measurements': ','.join(measurements),
+        'time': get_timestamp(row['Time'])
+    }
+
+    print('{database},node={node} {measurements} {time}'.format(**values))