balbinus / PoGoExParis

EX-raid eligible Pokémon Go Gyms in Paris.

Attribution

Map tiles from http://maps.stamen.com/.

Data extraction

1. download eligibility data from http://overpass-turbo.eu/s/vq5 as export.geojson

2. download gym data from https://gymhuntr.com, using Chrome, by opening the devtools (specifically the Network tab), requesting EVERY BIT of the city (make sure you cover it all). Then right click on a request, and save all + content as HAR (gymhuntr.har).

3. from gym data, extract relevant gyms using PHP:

   <?php
   $data = json_decode(file_get_contents("gymhuntr.har"));
   $URL_REGEXP = '!^https://api.gymhuntr.com/api/gyms\?latitude=([0-9.]+)&longitude=([0-9.]+)&!';
   
   foreach ($data->log->entries as $e)
   {
       if (!preg_match($URL_REGEXP, $e->request->url, $m))
       {
           continue;
       }
       
       printf("URL: %s, lat=%f, long=%f\n", $e->request->url, $m[1], $m[2]);
       
       $data_inside = json_decode($e->response->content->text);
       /** to simply dump the JSONs from the gyms **
       file_put_contents("gymhuntr_".$m[1]."_".$m[2].".json", implode("\n", $data_inside->gyms));
       */
       $data_csv = '';
       foreach ($data_inside->gyms as $g)
       {
           $data_gym = json_decode($g);
           $data_csv .= sprintf("%s,%f,%f\n",
                                trim(strtr($data_gym->gym_name, '",', '  ')),
                                $data_gym->longitude,
                                $data_gym->latitude);
       }
       file_put_contents("gymhuntr_".$m[1]."_".$m[2].".json", $data_csv."\n");
   }
   ?>

4. now make one big deduplicated CSV from all those smaller ones:

   cat gymhuntr_48.* | sort -u > uniq_gymhuntr.csv

5. download osmcoverer_with_centers from https://github.com/MzHub/osmcoverer/releases/tag/v2.1.2 and execute :

   WINEPREFIX=~/.wine64 wine ./osmcoverer_with_centers.exe -checkcellcenters -markers uniq_gymhuntr.csv export.geojson
   cp output/cellcenters_within_features.csv eligible_gyms.csv

6. (opt.) add sponsored gyms to eligible_gyms.csv. They can be found at: https://www.pokemongomap.info/location/48,858736/2,354499/13 CSV format: Gym name,long,lat

7. generate a geojson with gyms + level --12-- 13 S2 cells

   WINEPREFIX=~/.wine64 wine ./osmcoverer_with_centers.exe -markers eligible_gyms.csv -grid=13
   

8. load output/output.geojson on geojson.io