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This will work for any model that you hook it up to, you just need to define the types in your service schema.
As it’s inspecting the metadata that graphql carries with each query to figure out which fields correspond to what type
to construct the mutations (and the types have to be the same as those in the model in Q) because it assumes the boilerplate will look like:
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Meta is a NodeJS-based shell command that provides a solution to working with many repos across machines/teams without the tradeoffs involved with submodules or monorepos.
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At the center of the Maana Q Knowledge Platform is the Computational Knowledge Graph, which consists of a cloud distributed set of GraphQL and RESTful microservices. Each service exposes a set of types and functions. The functions can be evaluated lazily (i.e., streaming) or strict/eager (i.e., batch) and can be marked as having pure (i.e., referential integrity) vs effectful (i.e., causes change or relies on changing externals) semantics.
The purpose of this system is to represent domain knowledge (i.e., concepts, properties, relations, individuals) and perform reasoning (i.e., operations performed on the domain to achieve various goals). This is similar in nature to the goals of the Semantic Web, which aims to unify:
Here is a list of tools and gear I use to make YouTube videos for coding. I will try to keep it up-to-date as I evolve and get better at producing content. Leave a comment, if you have suggestions!
Windows 10
I use both Mac and Windows, but I am currently doing all the capture and production on Windows. For coding, I find the Linux shell much better than PowerShell or the Windows Command Prompt.