write all NaN and NaT Dataframe created values as null #929
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary
Some collections do not have the same set of fields present in all the documents. The underlying DataFrames implementation for OpenData store uses NaN and NaT to fill in missing values for these fields. This is incompatible with Mongo storage (no NaT) and our JSON serialization. This adds code to convert NaN and NaT values to None prior to writing the documents out to S3 in OpenDataStore.
Checklist
ruff
. (For guidance in fixing rule violates, see rule list)mypy
.