To get this proof of concept up and running, install docker-compose (https://docs.docker.com/compose/install/) and from the root directory of the project run:

docker-compose up

Alternately, start arangodb on your computer (with root password openSesame), install pipenv globally (pip install pipenv) and from the root directory of the project run:

MULTINET_ROOT_PASSWORD=openSesame ARANGO_HOST=localhost ARANGO_PORT=8529 pipenv run python multinet-server/main.py

The following commands will help you walk through this example code.

Create the "skyways" database:

curl -X POST http://localhost:8080/db/skyways

Verify it exists on the system:

curl -X GET http://localhost:8080/

Create the "skyways" graph in the "skyways" database:

curl -X POST http://localhost:8080/graph/skyways/skyways

Verify it exists in the database:

curl -X GET http://localhost:8080/graph/skyways/skyways

Create the vertices by uploading the airports.csv file in the data directory. Replace the file path with the appropriate one for your system.

curl -X POST \
  http://localhost:8080/vertices/skyways/skyways/airports \
  -H 'content-type: multipart/form-data' \
  -F file=@/home/mildewey/multinet-server/data/airports.csv

Look at the first five vertices. For this proof of concept I cut it off automatically at 5 to avoid having to worry about paging. Note that the command to get the graph will also return more information now.

curl -X GET http://localhost:8080/vertices/skyways/skywayts/airports

Create the edges by uploading the flights.csv file in the data directory. Replace the file path with the appropriate one for your system. This command takes several minutes.

curl -X POST \
http://localhost:8080/edges/skyways/skyways/flights \
-H 'content-type: multipart/form-data' \
  -F from_collections=airports \
  -F to_collections=airports \
  -F file=@/home/mildewey/multinet-server/data/flights.csv

Look at the first five edges. For this proof of concept I cut it off automatically at 5 to avoid having to worry about paging. Note that the command to get the graph will also return more information now.

curl -X GET http://localhost:8080/edges/skyways/skyways/flights