django-for-runners 0.6.0

Screenshots

for-runners v0.4.0 2018-6-26 GPX info.png

for-runners v0.4.0 2018-6-26 Change GPX Track.png

try-out

e.g.:

# create a python virtualenv:
~$ python3 -Im venv DjangoForRunnersEnv

# activate the created virtualenv:
~$ cd DjangoForRunnersEnv/
~/DjangoForRunnersEnv$ source bin/activate

# Upgrate pip:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv$ pip3 install --upgrade pip

# install django-for-runners:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv$ pip3 install django-for-runners

# install dependencies:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv$ cd src/django-for-runners/
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv/src/django-for-runners$ pip install -r requirements.txt

# create base data:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv/src/django-for-runners$ ./manage.py fill_basedata

start the development server, e.g.:

# activate the virtualenv:
~$ cd DjangoForRunnersEnv/
~/DjangoForRunnersEnv$ source bin/activate

# start server:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv$ cd src/django-for-runners/
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv/src/django-for-runners$ ./run_test_project_dev_server.sh

import GPX files, e.g.:

# activate the virtualenv:
~$ cd DjangoForRunnersEnv/
~/DjangoForRunnersEnv$ source bin/activate

# import:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv$ cd src/django-for-runners/
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv/src/django-for-runners$ ./manage.py import_gpx --username <username> ~/backups/gpx_files

Note: It is no problem to start import_gpx with the same GPX files: Duplicate entries are avoided. The start/finish (time/latitude/longitude) are compared.

run tests

# activate the virtualenv:
~$ cd DjangoForRunnersEnv/
~/DjangoForRunnersEnv$ source bin/activate

# run the tests:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv$ cd src/django-for-runners/
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv/src/django-for-runners$ ./setup.py test

# run text via tox:
(DjangoForRunnersEnv) ~/DjangoForRunnersEnv/src/django-for-runners$ ./setup.py tox

Note:

To run all tests, you need:

• Chromium Browser WebDriver e.g.: apt install chromium-chromedriver

• Firefox Browser WebDriver aka geckodriver

install geckodriver e.g.:

~$ cd /tmp
/tmp$ wget https://github.com/mozilla/geckodriver/releases/download/v0.20.1/geckodriver-v0.20.1-linux64.tar.gz -O geckodriver.tar.gz
/tmp$ sudo sh -c 'tar -x geckodriver -zf geckodriver.tar.gz -O > /usr/bin/geckodriver'
/tmp$ sudo chmod +x /usr/bin/geckodriver
/tmp$ rm geckodriver.tar.gz
/tmp$ geckodriver --version
geckodriver 0.20.1
...

some notes

Django compatibility

(See also combinations in .travis.yml and tox.ini)

history

• compare v0.6.0…master dev

• 19.07.2018 - v0.6.0:

  • NEW: event participation

  • NEW: costs of event participation (e.g.: entry fee for the competition, cost of a T-Shirt etc.)

  • NEW: Display statistics of events/costs per user and total

• 04.07.2018 - v0.5.0:

  • remove Django-CMS

  • update to Django v2.0

  • NOTE: The migrations are simply replaced! So you must delete your database, e.g.: src/django-for-runners$ rm test_project_db.sqlite3

  • Add ‘net duration’ field, for the officially measured time and use it for calculations if available.

  • Create django manage command to fill some base data: $ ./manage.py fill_basedata

  • speedup by deactivating some django debug toolbar panels

• 26.06.2018 - v0.4.0:

  • combine track filters with statistic views

  • NEW: GPX info (See length, point count and Average distance in meters between the points)

  • NEW: Display GPX metadata

  • Add ‘creator’ to every track and use it as changelist filter

  • remove Streetmap image generated via geotiler

  • Speedup by using a cache for gpxpy instances

• 23.06.2018 - v0.3.0:

  • Start adding statistics (See screenshot above)

  • add weather information from metaweather.com to every track

• 21.06.2018 - v0.2.0:

  • Display elevations, heart_rates and cadence_values if available

  • Add kilometer markers to OpenStreetMap

• 15.06.2018 - v0.1.1:

  • a few bugfixes

• 15.06.2018 - v0.1.0:

  • Render interactive OpenStreetMap track map with Leaflet JS

• 12.06.2018 - v0.0.4:

  • Better Events model

  • GPX error handling

  • more tests

  • Bugfix for Python 3.5 (Geotiler needs Python 3.6 or later)

• 12.06.2018 - v0.0.3:

  • display min/average/max heart rate

  • use autotask to generate the MAP in background

• 31.05.2018 - v0.0.2:

  • generate SVG ‘icon’ from GPX track

• v0.0.1 - 30.05.2018

  • Just create a pre-alpha release to save the PyPi package name ;)

links

credits

The whole thing is based on many excellent projects. Especially the following:

• gpxpy GPX file parser

• Leaflet JS A JS library for interactive maps used to render the track on OpenStreetMap

• Chart.js HTML5 Charts

• geopy Get geo location names of the GPX track start/end point

• matplotlib plotting 2D graphics

• autotask schedule background jobs

• svgwrite Generating SVG file

donation

• paypal.me/JensDiemer

• Flattr This!

• Send Bitcoins to 1823RZ5Md1Q2X5aSXRC5LRPcYdveCiVX6F