March On map

Draw March On affilates and allied events on a Mapbox map, for embedding on March On.

Google Sheets to GeoJSON

Mapbox GL JS doesn't allow access to the entire feature set, only features in the current view (mapbox/mapbox-gl-js#2481). This map has a small number of features, and we need access to all of them to find the nearest to a user's location. Run an AWS Lambda script daily to get data from a Google sheet and save as GeoJSON on S3.

AWS Lambda function creates GeoJSON from a Google sheet:

get data from Google Sheets via Google API
get GeoJSON from public S3 URL
geocode locations with Mapbox's Geocoder API
write GeoJSON to S3

GeoJSON to map

map.js uses Vue.js and Mapbox GL JS to create the map.

create Mapbox GL map with MarchOn's custom style
load GeoJSON with affiliate data from S3 (updated daily by Lambda function)
request user's location; if available zoom map to closest affiliate
zoom to closest affiliate on results from Mapbox Geocoder control
use Haversine formula to find closest affiliate
show nearest/clicked/moused over affiliate info in card to the right of map

Deployment

Build deployment package

The image resizing code uses Pillow, which contains platform-specific C code. When deploying, make sure you include the Linux version in the zip file. The easiest way to do this is to create the deployment package on Linux; get a Docker container if you don't have access to a Linux box. Alternatively, you can pip install Pillow -t linux-pillow on Linux, then copy the resulting packages into the zip. You can do this just once, then freshen marchon.py as needed.

create directories for Linux deployment package

mkdir lambda-linux
mkdir lambda-linux/lambda
cp lambda/marchon.py lambda/requirements.txt lambda-linux/lambda

run Ubuntu docker container with python 3.6

docker run -v /path-to/marchon-map/lambda-linux:/lambda-linux -it --rm tomersha/docker-ubuntu-14.04-python-3.6.2

activate python 3.6, install zip, install packages, and create zip archive

pyenv shell 3.6.2
apt-get install zip
cd lambda-linux/lambda
pip install -r requirements.txt -t .
zip ../linux-lambda.zip -r .
exit

Deploy to AWS

Upload linux-lambda.zip to AWS function definitions, through AWS console or using the following CLI command

aws lambda update-function-code --function-name marchon-events-geojson --zip-file fileb://linux-lambda.zip
aws lambda update-function-code --function-name marchon-map-geojson    --zip-file fileb://linux-lambda.zip

Local setup for testing

Google sheet to GeoJSON (python)

Clone this repo and get python 3.6 set up.

Create a Google project and get API key

Set these in environment

GOOGLE_API_KEY
SHEET_ID
MAPBOX_ACCESS_TOKEN

From the lambda directory:

install requirements: pip install -r requirements.txt -t .
run python test_events.py > ../events.json

map (Vue.js)

Run a local web server: python -m SimpleHTTPServer

Go http://localhost:8000 in browser

To load a different GeoJSON data file, edit const geojson = pegasus(https://s3.amazonaws.com/ragtag-marchon/${mapjs.getAttribute('data-filename')}`);` in map.js

mikelmaron/marchon-map