convert google timeline location history into owntracks

convert.py

#!/usr/bin/env python

import json
from datetime import datetime

print("Parsing input data...")
records = json.load(open("./Takeout/Location History/Records.json"))['locations']
print("Done.")

def convert_conn(record):
    MAPPING = {
        'WIFI': 'w',
        'wifi': 'w',
        'CELL': 'm',
        'cell': 'm',
        'network': 'm'
    }
    source = record['source']

    if source in MAPPING:
        return MAPPING[source]
    else:
        return None

def convert_velocity(record):
    if 'velocity' not in record:
        return 0

    return record['velocity'] * 3.6

def parse_timestamp(record):
    try:
        ts = datetime.strptime(record['timestamp'], "%Y-%m-%dT%H:%M:%S.%f%z")
    except ValueError:
        ts = datetime.strptime(record['timestamp'], "%Y-%m-%dT%H:%M:%S%z")
    return ts

def convert_timestamp(record):
    ts = parse_timestamp(record)
    return int(ts.timestamp())

def short_timestamp(record):
    ts = parse_timestamp(record)
    return ts.strftime("%Y-%m-%dT%H:%M:%SZ")

def year_month(record):
    ts = parse_timestamp(record)
    return ts.strftime("%Y-%m.rec")

output = []
months = {}
for record in records:
    # print(record)
    timestamp = convert_timestamp(record)
    payload = {
        "_type": "location",
        "lat": record['latitudeE7'] / 10**7,
        "lon": record['longitudeE7'] / 10**7,
        "acc": record['accuracy'],
        "alt": record.get('altitude', None),
        "tst": timestamp,
        "created_at": timestamp,
        "conn": convert_conn(record),
        "vac": record.get('verticalAccuracy', None),
        "vel": convert_velocity(record),
        "tid": "l6"
    }
    payload = { k:v for k,v in payload.items() if v != None }
    entry = "{}\t*                 \t{}\n".format(short_timestamp(record), json.dumps(payload, separators=(',', ':')))

    filename = year_month(record)
    if filename not in months:
        months[filename] = []

    months[filename].append(entry)

print("Creating output files")
for filename, data in months.items():
    print("Processing {}".format(filename))
    with open("output/{}".format(filename), "w") as outfile:
        for entry in data:
            outfile.write(entry)