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earthobservations / luftdatenpumpe

Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
https://luftdatenpumpe.readthedocs.io/
GNU Affero General Public License v3.0
35 stars 3 forks source link

Linting and formatting #38

Closed amotl closed 2 years ago

amotl commented 2 years ago

What the title says.

codecov-commenter commented 2 years ago

Codecov Report

Merging #38 (7d2bfd7) into main (3b98db5) will increase coverage by 0.67%. The diff coverage is 62.96%.

@@            Coverage Diff             @@
##             main      #38      +/-   ##
==========================================
+ Coverage   55.55%   56.22%   +0.67%     
==========================================
  Files           3        3              
  Lines         306      297       -9     
==========================================
- Hits          170      167       -3     
+ Misses        136      130       -6
Flag Coverage Δ
unittests 56.22% <62.96%> (+0.67%) :arrow_up:

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
luftdatenpumpe/util.py 27.20% <22.22%> (-0.39%) :arrow_down:
luftdatenpumpe/geo.py 80.50% <82.69%> (ø)
luftdatenpumpe/__init__.py 100.00% <100.00%> (ø)

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