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This project is based on running_page and adds support for multi sports types. Follow the steps in the origin repo to deploy.

New Features

  1. support multi sports types, like Ride/Hike/Swim/Rowing
  2. support new apps
  3. support RoadTrip(GoogleMaps), show Road Trip on maps

Custom your page

Change Sports Color

  • Modify Ride Color: RIDE_COLOR in src/utils/const.js

Add Sports Type

  • Modify TYPE_DICT & MAPPING_TYPE in scripts/config.py

  • Add Type Name and add it into RUN_TITLES in src/utils/const.js

  • Modify colorFromType & titleForRun in src/utils/util.js

  • see commit


Codoon(咕咚)

Get your Codoon data
python3(python) scripts/codoon_sync.py ${your mobile or email} ${your password}

example:

python3(python) scripts/codoon_sync.py 13333xxxx xxxx

use --with-gpx flag to save your gpx data

use --from-auth-token flag to login by refresh_token&user_id

image

example:

python3(python) scripts/codoon_sync.py 54bxxxxxxx fefxxxxx-xxxx-xxxx --from-auth-token

Xingzhe(行者)

Get your Xingzhe data
python3(python) scripts/xingzhe_sync.py ${your mobile or email} ${your password}

example:

python3(python) scripts/xingzhe_sync.py 13333xxxx xxxx

use --with-gpx flag to save your gpx data

use --from-auth-token flag to login by refresh_token&user_id

image

example:

python3(python) scripts/xingzhe_sync.py w0xxx 185000 --from-auth-token

RoadTrip(GoogleMaps)

Import KML from Google Maps
  1. Create a map in Google Maps (keep the route in one Layer)
  2. Export Layer to KML file
  3. Rename the file to import.kml and place it into scripts
  4. Modify scripts/kml2polyline.py, fill in the trip info
# TODO modify here
# trip name
track.name = "2020-10 Tibet Road Trip"
# start/end time Year-Month-Day-Hour-Minute
track.start_time = datetime(2020, 9, 29, 10, 0)
track.end_time = datetime(2020, 10, 10, 18, 0)
# total distance
distance = 4000  # KM
# total days
days = 12
# average daily distance
hours_per_day = 6
  1. Execute in Console
python3(python) scripts\kml2polyline.py

Special thanks

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  • JavaScript 50.8%
  • Python 46.7%
  • SCSS 1.8%
  • Dockerfile 0.7%