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Using GraphQL Faker with portcall and pilotage order data

Author: Janne Nissinen, a developer at Solita

Solita’s API roadmap contained a task to create a proof of concept of aggregating two data sources together. Both of these APIs contained valuable information of the ship traffic, and by providing an aggregated data endpoint could provide some value to its users.

GraphQL and its extended faker-plugin were used to create several prototypes of the data structure with minimum amount of actual data merging. GraphQL-faker allows users to host local endpoints for development purposes. Furthermore, it allows its users to extend pre-existing GraphQL–services and modify their data structure to suit the users’ needs.

Figure 1 – Graphql-faker editor in browser

For the given task, each individual APIs data structure was studied, and similar data nodes were given a specific type, which resembles a data structure in GraphQL. For example, Port is a type which contains two text-based fields code and name, which will resemble the actual Port values. It also contains a nested type Location, which provide location data for the given parent type. By using the faker, no aggregation is needed to produce actual values, since the faker allows its users to pass example data in, which are then given back randomly when the port is queried.

Figure 2 – Port–type queried, faked data returned

As a proof of concept, data aggregation and data structure-based prototyping is doable and fast using GraphQL and its faker–plugin. For further iterations, both existing APIs need to be studied and the type structure needs to be honed down further to provide actual value to its users.