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Using AWS Cloud Development Kit to manage uniform resource deployments
This is a quick follow up to my prior post about strictly using Python instead of the CLI with AWS Cloud Development Kit. In…
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Using AWS Cloud Development Kit without the CLI in Python
AWS went GA with the Cloud Development Kit (CDK) today. The TLDR is that this a way to really build your infrastructure as code…
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How to dynamically generate Graphene 2.0 objects mid-runtime
A quick a dirty example of how a dictionary could be used modify Graphene ObjectType field definitions without restarting the engine.
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I also wrote a series on using GraphQL in Python
Using GraphQL in Python with Graphene – An Introduction
Rather than rehashing the virtues of GraphQL or doing another JS demo, I’d like to dive into a quick start around building an engine using Graphene – a Python implementation of the GraphQL spec.
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Defining a Graphene ObjectType for a GraphQL engine – Step 1
In GraphQL, an ObjectType is a basic primitive that represents a “thing you can query.” So let’s implement our first `ObjectType`.
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Defining a Graphene Resolver to return a GraphQL ObjectType – Step 2
On the surface, there wasn’t anything too complicated in declaring the `ObjectType `, but how Graphene would know how to assign values to the `Fields`?
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Defining a Graphene Field to create a complete GraphQL Definition – Step 3
While a “field” in GraphQL is a generic for several things, it is also a mapping device that makes the graph possible. Without a Field, the ObjectType and the resolver remain unbounded from each other.
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Using a Graphene Schema to execute a GraphQL query – Step 4
In GraphQL, a schema is a root level type that is meant to collect and expose all the functionality available through that node. It’s also at this point that I begin to slide away from needing to think strictly about Python and one type and start thinking in terms of graphs.
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