Source: thenewstack.io
Using Pydantic to Validate JSON Documents with Couchbase
https://www.couchbase.com/products/capella is a fully managed JSON document Database-as-a-Service (DBaaS) offering that eliminates database-management duties and reduces overall costs. The JSON documents generated using pydantic can then be used on the Capella platform without the concern for ill-formed documents that can occur when JSON documents are created via string standard concatenation.
In this blog, I will quickly walk through an example of using pydantic to create valid JSON documents and storing them in Couchbase Capella.
Python developers generally create JSON documents using strings or integers to populate a dictionary object that stores key-value pairs.
With pydantic, developers have the flexibility to specify a schema for JSON objects that can be enforced as the documents are created.
In this blog, I will quickly walk through an example of using pydantic to create valid JSON documents and storing them in Couchbase Capella.
Python developers generally create JSON documents using strings or integers to populate a dictionary object that stores key-value pairs.
With pydantic, developers have the flexibility to specify a schema for JSON objects that can be enforced as the documents are created.
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