0.6.1 • Published 4 years ago

graphql-vision v0.6.1

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Last release
4 years ago

graphql-vision

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a dashboard & server for handling tracing results sent by a graphql endpoint

Getting Started

Listener Service

You have to create the listener service (with a dashboard) in a new project.

run npm i --save graphql-vision in your listener project.

in your index.ts file:

    import VisionServer from 'graphql-vision';

    const visionServer = new VisionServer();
    visionServer.run({port: 4000, dbOptions: {
        type: "postgres",
        host: "localhost",
        port: 5432,
        username: "postgres",
        password: "postgres",
        database: "apollo-tracing"
    }});
  • The port argument stands for the port that the vision server will be running on.
  • The dbOptions argument stands for the type-orm configurations. The vision server requires a DB for saving the tracing results.

It will create a listener server with a graphql endpoint and a dashboard.

Your GraphQL Service

You have to configure your graphql service to send the apollo tracing objects to the listener service.

You can use the simpler way, using the graphql-vision-plugin, or the manual way:

For example, we configured our graphql service (created by apollo server):

const trace = `mutation($tracing: TracerInput) {
  addTracing(tracing: $tracing)
}`;

const server = new ApolloServer({
    typeDefs, resolvers, tracing: true, plugins: [{
        requestDidStart({}){
            return {
                willSendResponse({response}){
                    request('http://localhost:4000/graphql', trace, {tracing: response.extensions.tracing}).then(()=>{
                        console.log('success');
                    });
                }
            }
        }
    }]
});

The tracing:true makes apollo server to return apollo tracing in response's extensions. Then we send these objects to the listener service created earlier, with url http://localhost:4000/graphql.

How to work on project

  • Clone the repository
  • npm i
  • cd src/dashboard && npm i

You can now run the example project with the following command:

  • npm run example
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