SunnyWay

Service for pedestrian route planning that takes into account shadow and natural sunlight

See demo for Barcelona

Preparing graph

• Install python3 and pip
• Run pip install -r requirements.txt in converter folder
• Download pre-exported map containing your region (e.g. from here)
• Download osmconvert and osmfilter
• Crop the region:

$ osmconvert compressed-map.osm.pbf -b=<area> --complete-ways --complete-
multipolygons -o=map-full.osm.

• Remove redundant objects from map:

$ osmfilter map-full.osm --keep 'highway= building= natural=
barrier=' --drop-relations -o=map.osm

• Put map.osm in converter directory
• Run python3 converter.py in that directory (will take 2-3 hours to complete for Barcelona)
• Move converter/output.csv to sunny-way-api/data/edges.csv

Starting server locally

Using existing Docker image

• Install docker
• Run sudo docker run -p 8080:8080 -v $(pwd)/data:/opt/data rofleksey/sunny-way-api:latest in sunny-way-api directory
• Visit localhost:8080 in your browser

Building Docker image yourself

• Install docker
• Run sudo docker build -t <your_tag> --no-cache . in sunny-way-api directory
• Run sudo docker run -p 8080:8080 -v $(pwd)/data:/opt/data <your_tag> in sunny-way-api directory
• Visit localhost:8080 in your browser

Manual start

• Install Java 11 JDK and NodeJS 14+
• Run npm i --production and npm run build in ui directory
• Run ./gradlew run in sunny-way-api folder (Wait for Netty started on port 8080 line to appear)
• Visit localhost:8080 in your browser