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Athlete Data Viz

Web application to create customizable, high-resolution print images of athletics gps data. powered by Heroku, Flask, PostgreSQL, PostGIS, Mapbox-GL-JS, Strava, Bootleaf, print-maps, and AWS S3

Building

Install Python

  1. Install [Python 2.7.11] (https://www.python.org/downloads/release/python-2711/) - run using a system copy of python or a virtualenv

  2. Install Redis

  3. Run python pip install -r requirements.txt if building locally. Heroku will auto-run the command when deploying a new dyno.

Deploy to Heroku PAAS

To deploy a clone of this application using the heroku command line tool:

cd <your working dir for athletedataviz>
heroku <create your_app_name>
git remote add pro https://git.heroku.com/<your_app_name>.git
git push pro master

Now provision a PostgreSQL database on Heroku. Requires PostgreSQL version 9.5.2+

After the database is available, install the PostGIS extension. Requires POSTGIS version 2.2+, which should be installed by default by Heroku on a PostgreSQL 9.5.2+ database.

NOTE: Heroku requires a Production database to install PostGIS. Minimum $50/month.

heroku addons:create heroku-postgresql:standard-Cobalt --app <your_app_name>
heroku pg:psql HEROKU_POSTGRESQL_COBALT_URL --app <your_app_name>

Now install the PostGIS extension

create extension postgis;
Select postgis_version(); postgis_version

You should see PostGIS version 2.2+ installed.

#Set env var for config version

    heroku config:set APP_SETTINGS=config.ProductionConfig --remote pro

A mapbox dev account is required.

See https://www.mapbox.com/developers/ for details

Obtain a mapbox API public key and set environment variables.

    heroku config:set MAPBOX_GL_ACCESS_TOKEN=<your_mapbox_gl_access_token> --remote pro

A Strava dev account is required

See https://strava.com/developers for details Obtain an application ID, then set environment variables

    heroku config:set STRAVA_CLIENT_ID=<your_strava_client_id> --remote <your_app_name>
    heroku config:set STRAVA_CLIENT_SECRET=<your_strava_client_secret> --remote <your_app_name>

Setup Background Tasks

  1. Install Redis. Start redis server after install.

  2. Set os environment variable to point to the redis url (see config.py)

  3. Start a celery worker. Open a new terminal, cd to the repo base directory, and run "celery worker -A app.celery"

First Run

  1. run command "python app.py" to start the local server. Ensure your development server has the required environment variables defined as per the build instrcutions.

  2. Start the Celery Worker python celery worker -A app.celery

  3. Navigate to localhost:33507 to open the ADV homepage

Credits

License

The MIT License (MIT)

Copyright (c) 2015, Ryan Baumann

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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AthleteDataViz - Web application used to analyze and vizualize athletics information using Strava, Mapbox, and more!

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