Token Traceability

 1.You need to create a complete database schema. Instead of Neo4j rendering, we will use Django rendering.

2.You need to create a script for active forms and lists.

3. It is necessary to do unit tests for each input form, list and output of information.

4. It is necessary to develop an alphabet of states of device parts and, based on it, make an FSM for a smart contract.

5. We have complete implementations for smart contracts and tokens of the ERC-1155 version.

6. Make a code for printing QR labels for warehouses and production.

7. Make tracking of production processes.

8. Provide capabilities for domain analysis. For this purpose, each connection will be two-layer. From the layer of time and the layer of space.

We will be able to separate the time graph and the space graph separately.

Graphically, this can be represented as two perpendicular graphs. But in one relationship the ribs serve. And in the other, the centers of the edges serve as nodes.

We will have Gantt charts based on the centers of the edges. And along the vertices we will have a directed graph associated with the location of production areas, workshops, lines.

9. For each final assembled part, we will have the ability to generate a G-code for the machine line.

10. We need a visualizer of the finished product, on which in real time the stage of production of a particular spare part and the overall percentage of readiness of the entire product will be marked in different colors.

11.  NumPy. It will allow us to locally store calculations for a local project, but we will make a transaction based on the result of the calculation into a common database.

As well as requesting changed boundary conditions. All this is automatic.