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Author SHA1 Message Date
n
44d7bd9159
update README
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lint / lint (push) Successful in 32s
2024-02-14 21:47:03 +01:00
n
9f19b7d326
add Gitea CI 2024-02-14 21:47:03 +01:00
n
aa16c1f792
pylint fixes 2024-02-14 21:47:03 +01:00
3 changed files with 56 additions and 36 deletions

23
.gitea/workflows/lint.yml Normal file
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@ -0,0 +1,23 @@
name: lint
run-name: lint is launched by ${{ github.actor }}
on: [push]
jobs:
check:
runs-on: ubuntu-latest
name: lint
steps:
- run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event."
- run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by Gitea!"
- run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
- name: Check out repository code
uses: actions/checkout@v4
- name: Create Python virtualenv
run: |
mkdir -p .cache
python -m venv .
source bin/activate
XDG_CACHE_HOME=.cache pip install pylint-venv pylint
- name: Lint
run: XDG_CACHE_HOME=.cache ./bin/pylint -d E0401 *.py
- run: echo "🍏 This job's status is ${{ job.status }}."

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@ -1,11 +1,11 @@
# pacer2influxdb
export Pacer data to InfluxDB
export [Pacer](https://play.google.com/store/apps/details?id=cc.pacer.androidapp) data to [InfluxDB](https://www.influxdata.com/products/influxdb-overview/)
* require Python 3, influxdb-python and sqlite-python
* require Python 3, `influxdb-python` and `sqlite-python`
* original code from https://github.com/korjavin/sqlite2influxdb and https://github.com/influxdata/influxdb-python
* sqlite database is /data/data/cc.pacer.androidapp/databases/MDData.db on an Android device, may need root privileges to get it
* sqlite database is `/data/data/cc.pacer.androidapp/databases/MDData.db` on an Android device, may need root privileges to get it
* collects steps, distance, active time and calories
* for now InfluxDB database needs to be created first
* incremental feed: just insert missing points
* grafana dashboard export in json format is included, adjust datasource name
* [Grafana](https://grafana.com/) dashboard export in json format is included, adjust datasource name

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@ -1,60 +1,59 @@
#!/usr/bin/env python3
from influxdb import InfluxDBClient
"""Export Pacer data to InfluxDB"""
import datetime
import time
import sqlite3 as lite
import argparse
from influxdb import InfluxDBClient
def main(host='localhost', port=8086, user='root', password='root', dbname='demo', dbfile='demo.db'):
def main(args):
"""Instantiate the connection to the InfluxDB client."""
db = InfluxDBClient(host, port, user, password, dbname)
measurements = db.get_list_measurements()
ts = 0
influx_db = InfluxDBClient(args.host, args.port, args.user, args.password, args.dbname)
measurements = influx_db.get_list_measurements()
time_stamp = 0
lastdate = 0
laststeps = 0
if measurements != []:
lastentry = db.query('SELECT LAST("steps") FROM "steps"')
lastentry = influx_db.query('SELECT LAST("steps") FROM "steps"')
points = lastentry.get_points('steps')
lastdate = list(points)[0]['time']
ts = time.mktime(datetime.datetime.strptime(lastdate, '%Y-%m-%dT%H:%M:%SZ').timetuple())
if ts == datetime.datetime.now().timestamp() // 86400 * 86400 + time.timezone:
points = lastentry.get_points('steps')
laststeps = list(points)[0]['last']
time_stamp = time.mktime(datetime.datetime.strptime(lastdate, '%Y-%m-%dT%H:%M:%SZ')
.timetuple())
if time_stamp == datetime.datetime.now().timestamp() // 86400 * 86400 + time.timezone:
points = lastentry.get_points('steps')
laststeps = list(points)[0]['last']
if args.verbose:
print("last entry is %s, ts is %s, number of steps is %s\n" % (lastdate,ts,laststeps))
print(f'last entry is {lastdate}, timestamp is {time_stamp}, \
number of steps is {laststeps}\n')
con = lite.connect(dbfile)
con = lite.connect(args.dbfile)
with con:
cur = con.cursor()
cur.execute("SELECT recordedForDate,steps,distanceInMeters,activeTimeInSeconds,calories FROM dailyActivityLog WHERE recordedForDate >= %s AND steps > %s" % (ts,laststeps))
cur.execute(f'SELECT recordedForDate,steps,distanceInMeters,activeTimeInSeconds,calories \
FROM dailyActivityLog \
WHERE recordedForDate >= {time_stamp} AND steps > {laststeps}')
while True:
row = cur.fetchone()
if row == None:
if row is None:
break
mytime = datetime.datetime.fromtimestamp(row[0]).strftime('%Y-%m-%dT%H:%M:%SZ')
data = [
{"measurement":"steps",
data = [{"measurement":"steps",
"time":mytime,
"fields": {
"steps":row[1],
"distanceInMeters":row[2],
"activeTimeInSeconds":row[3],
"calories":row[4]
}
}
]
}
}]
if args.verbose:
print("writing data for %s" % (mytime))
db.write_points(data)
db.close()
print(f'writing data for {mytime}')
influx_db.write_points(data)
influx_db.close()
def parse_args():
"""Parse the args from main."""
@ -80,7 +79,5 @@ def parse_args():
help='sqlite (pacer) database name')
return parser.parse_args()
if __name__ == '__main__':
args = parse_args()
main(host=args.host, port=args.port, user=args.user, password=args.password, dbname=args.dbname, dbfile=args.dbfile)
main(parse_args())