insight-lane / crash-model

Build a crash prediction modeling application that leverages multiple data sources to generate a set of dynamic predictions we can use to identify potential trouble spots and direct timely safety interventions.

https://insightlane.org

MIT License

112 stars 40 forks source link

First pass of flask app #280

Closed j-t-t closed 4 years ago

j-t-t commented 4 years ago

Switch to using flask app for the showcase. Also remove some extraneous info from the files needed for visualization to make the maps load faster

I'd really like someone to test this as well as just review the code. To do so:

Download the latest data_2.0.zip from data.world and unzip
run the visualization step only of the pipeline on each showcase city (python pipeline.py -c config/config_x.yml --only visualization)
cd showcase
export your mapbox token as MAPBOX_TOKEN
flask run

codecov[bot] commented 4 years ago

Codecov Report

Merging #280 into master will increase coverage by 0.45%. The diff coverage is 89.28%.

@@            Coverage Diff             @@
##           master     #280      +/-   ##
==========================================
+ Coverage   60.78%   61.23%   +0.45%     
==========================================
  Files          32       32              
  Lines        3195     3217      +22     
==========================================
+ Hits         1942     1970      +28     
+ Misses       1253     1247       -6