.gitea/workflows/lint.yml

@@ -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 }}."
+

README.md

@@ -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
+  * requires 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

pacer2influxdb.py

@@ -1,45 +1,47 @@
 #!/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."""
-
+    influx_db = InfluxDBClient(args.host, args.port, args.user, args.password, args.dbname)
-    db = InfluxDBClient(host, port, user, password, dbname)
+    measurements = influx_db.get_list_measurements()
-    measurements = db.get_list_measurements()
+    time_stamp = 0
-    ts = 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())
+        time_stamp = time.mktime(datetime.datetime.strptime(lastdate, '%Y-%m-%dT%H:%M:%SZ')
-        if ts == datetime.datetime.now().timestamp() // 86400 * 86400 + time.timezone:
+                         .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 = [
+            data = [{"measurement":"steps",
-                   {"measurement":"steps",
                     "time":mytime,
                     "fields": {
                               "steps":row[1],
@@ -47,14 +49,11 @@ def main(host='localhost', port=8086, user='root', password='root', dbname='demo
                               "activeTimeInSeconds":row[3],
                               "calories":row[4]
                               }
-                }
+                    }]
-                ]
-
             if args.verbose:
-                print("writing data for %s" % (mytime)) 
+                print(f'writing data for {mytime}')
-
+            influx_db.write_points(data)
-            db.write_points(data)
+        influx_db.close()
-        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(parse_args())
-main(host=args.host, port=args.port, user=args.user, password=args.password, dbname=args.dbname, dbfile=args.dbfile)