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This is a quick follow up to my prior post about strictly using Python instead of the CLI with AWS Cloud Development Kit. In the real world, I probably want to create something more elaborate than …
Continue Reading about Using AWS Cloud Development Kit to manage uniform resource deployments →
AWS went GA with the Cloud Development Kit (CDK) today. The TLDR is that this a way to really build your infrastructure as code (as opposed to calling your template "code"). It's an interesting …
Continue Reading about Using AWS Cloud Development Kit without the CLI in Python →
A quick a dirty example of how a dictionary could be used modify Graphene ObjectType field definitions without restarting the engine. import graphene modeled = [{ "type": "String", "name": …
Continue Reading about How to dynamically generate Graphene 2.0 objects mid-runtime →
import sqlalchemy as sa import itertools import collections def json_sql(value, scalars_to_json=True, jsonb=False): scalar_convert = sa.text if scalars_to_json: def …
Continue Reading about How to use a Postgres JSONB column with SQLAlchemy →
def get_class_by_tablename(base, tablename): """Return class reference mapped to table. :param tablename: String with name of table. :return: Class reference or None. """ for …
Coming into the final stretch, I need to build a schema so my ObjectType, resolver, and Field can be made available on the GraphQL engine. In GraphQL, a schema is a root level type that is meant …
Continue Reading about Using a Graphene Schema to execute a GraphQL query – Step 4 →