Add workflow tooling to the cli

[OR13]

We often need to generate synthetic data associated with home human process or workflow.

This PR adds some tooling to the CLI to dynamically generate VCs and VPs associated with a scenario that must be build and tested ahead of time.

There is an actor oriented api for regenerating synthetic data:

 def.addTask({
    id: 'Task_0',
    name: 'Order Received in China',
    task: async ({ output, services, variables }: WorkflowEnvironment) => {
      // services.console.log('product ordered from China.');
      output.actors = output.actors || {};
      output.presentations = output.presentation || [];
      const manufacturer = await services.fake.actor.generate({
        type: 'Organization',
        seed: variables.manufacturer.seed, // controls identity
      });
      output.actors.manufacturer = manufacturer;
      const vc1 = await manufacturer.credential.generate({
        type: 'CertifiedPurchaseOrder',
        subject: {
          manufacturer: variables.manufacturer,
          product: variables.product,
        },
      });
      const vp1 = await manufacturer.present({
        workflow: variables.workflow,
        credentials: [vc1],
      });
      output.presentations.push(vp1);
      return {};
    },
    edges: [
      {
        source: 'StartEvent_0',
        name: 'Import Started',
      },
    ],
  });

Once the scenario is built it has a visual representation based on BPMN:

After its been build it can be executed to generate a json trace of the "workflow instance" which will contain the VC and VPs associated with the flow:

npm run transmute -- \
data create \
--type "WorkflowInstance" \
--input "https://w3id.org/traceability/#e-commerce" \
--variables '{"workflow":{"definition":["123"],"instance":["000"]}}' \
--output "./data/workflows/workflow.instance-0.json"

After this step, the json can be imported into a graph data base or analytics tool for rendering.

So far we only have Neo4j support, but will add others in the future.

npm run transmute -- \
neo workflow import \
--clean \
--uri "neo4j://localhost" \
--user "neo4j" \
--password "test" \
--input "./data/workflows/workflow.instance-0.json"

After the data has been imported it can be rendered:

[nissimsan]

Looks awesome!