ssb-patchql

(🚧 work in progress 🚧 ) An example graphql api suitable for making ssb apps similar to patchwork or patchbay

Heads Up:

• this is still a wip, we're still learning and working out the best shape for this api to take. The API will change.

Intention

• I'd like to see 150-2000 new ssb apps by 2025. Doing this by:

  • lowering the technical barrier to entry by using industry standard technologies.
  • making well documented, easy to understand code, that's tested and reliable

• there's a high barrier to entry in the js ssb stack, even for just building a front-end client. Much of the tech stack is "Mad Science" / experimental.

  • you need to learn pull-streams, flume-db, ssb-msg-schema, ssb-server api, ...
  • drawbacks of the high barrier:
    • only a few people have the time to invest in learning all the tech in the stack
    • those few people become accidental maintainers / wield power in the community because they shape the apps that people use / single points of failure / bottlenecks for progress. (Not meant to malign any people who have done great work eg, Matt, Mix, Dominic)

Tech Decisions

Why the process mutation?

This db will lag behind the offset log and needs calls to process to bring the db up to date. At first this might seem annoying and that the db should do this automatically. But this is a conscious design decision to give the app control of when cpu is used. This is important on resource constrained devices, or even just when starting up the app. This is a major pain point in the javascript flume-db implementation that we're learning from.

Why sql?

• SSB data is highly relational. It suits a relational db very well.
• Each person has a db that only contains data from their own social network (and not all the data of the entire network like in a centralised system) we don't have to be able to scale to millions or billions of users.

Graphql Schema

graphql schema lives here.

Example Queries:

process 1000 messages from your offset file into your sqlite file.

Hint: If you're just getting started, set the chunkSize to a really large number like 10 million. You'll have to wait a few minutes for it to process everything.

Hint: You'll have to keep running this mutation every so often to keep things up to date.

mutation process {
  process(chunkSize: 1000) {
    chunkSize,
    latestSequence
  }
}

Get your name:

{
  currentAuthor {
    name
  }
}

Get 10 recent threads, with some useful info:

{
  threads(last: 10) {
    edges {
      node {
        root {
          text
          likesCount
          author {
            name
          }
        }
        replies {
          text
          likesCount
          author {
            name
          }
        }
      }
    }
  }
}

Environment Variables

Note, there's an .env_example file in the root of the repo you can use as a starting point. Copy it to a file called .env.

DATABASE_URL (required)

This is poorly named and will be changed to DATABASE_PATH. The absolute or relative path to the sqlite database. If it doesn't exist it will be created.

OFFSET_LOG_PATH (required)

The absolute or relative path to the offset log. Typically lives in ~/.ssb/flume/log.offset

SSB_PUB_KEY (required)

The id field from ~/.ssb/secret including the '.ed25519' suffix

SSB_SECRET_KEY

Not strictly required, it will run without a secret key. But it can't decrypt private messages. The private field from ~/.ssb/secret including the '.ed25519' suffix

LISTEN

The host and port to bind to. eg:

• LISTEN=localhost:8080 (default)
• LISTEN=localhost:9967 (use some other port)
• LISTEN=0.0.0.0:8080 (expose to more than just localhost. Careful: People could read your private messages.)

RUST_LOG

logging level. eg:

• RUST_LOG=info (will log server response times, useful for checking performance)

Database schema

Todos

Development

Install the graphql-cli

With node / npm installed:

$ npm install -g graphql-cli

Generate a new schema.graphql

Copy .env_example to a file called .env and edit parameters appropriately for your environment.

Start the server using $ cargo run

and in another terminal:

$ graphql get-schema; graphql get-schema -o schema.json

Lint the generated schema for errors

$ graphql lint (and press enter to accept the default option)