Comments (1)
coretl
commented on August 16, 2024
1
Suggest dtype_numpy, and have str as the json schema type. This means that if you put garbage in then the json schema says everything is fine, then something downstream might fall over and you will get no early warning, but that is probably ok
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Related Issues (20)
- Sort existing schema alphabetically
- Allow event counters to be defined outside of a run
- Slight difference between the current bluesky bundler and event model HOT 2
- Switch from `partials` to Compose classes HOT 1
- Use the python skeleton's version determination method
- Reorder the schema for easier review
- Investigate independent versioning for schema HOT 1
- Add a unit test for schema rejecting dots in keys
- make new release of event-model HOT 1
- Allow precision to be null in Descriptor
- New pydantic release 2.0.0 breaks event-model HOT 1
- Issues with pydantic v2
- What should event counters do if seq_num is specified? HOT 2
- run_start.additionalProperties should either be True, or a field for additionalProperties should be provided. HOT 1
- Move from pydantic version 1 to 2 HOT 1
- Reviewing StreamResource and StreamDatum from the storage, access perspective HOT 43
- ComposeStreamBundle.compose_stream_datum: `AttributeError: 'dict' object has no attribute 'compose_stream_datum'` HOT 1
- Searching and version switching in the docs does not work
- Add NotRequired things to the DataKey schema
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