Feat: Safely convert mappings (dictionaries) to JSON serializable objects

[mtcarlone]

Overview

There have been a few errors due to dbt's microbatch models. Namely, these models introduce datetime objects to different context variables available to us. These changes are not explicitly documented, and have caused a number of failures for users of this package.

In order to better safeguard ourselves against future versions, this PR introduces a set of macros that convert all values in a mapping (dictionary) object to something that is JSON serializable. Right now that is a datetime object, but it can be updated easily to handle for more later on.

This macro has been deployed to the two areas that were impacted by microbatch models and CLI arguments (models and invocations). The deployment pattern can be followed for other uploads.

Update type - breaking / non-breaking

• Minor bug fix
• Documentation improvements
• Quality of Life improvements
• New features (non-breaking change)
• New features (breaking change)
• Other (non-breaking change)
• Other (breaking change)
• Release preparation

What does this solve?

This solves a number of issues caused by microbatch models. It should also future-proof us a bit ... hopefully.

Outstanding questions

What databases have you tested with?

• Snowflake
• Google BigQuery
• Databricks
• Spark
• N/A

[llifoawing]

LGTM! (as a side note, the microbatch model configs dont work in databricks but since we dont have an integration test for databricks can tackle that in another PR)

[mtcarlone]

Damn this breaks Trino 🤦 will get a fix up for that ...