Add Support for Batch Publishing Non-Scalar Measurement Values

[hunter-ni]

What does this Pull Request accomplish?

This set of changes updates the MDS Python API to support the batch publishing of non-scalar measurement values (e.g., AnalogWaveform). This is in addition to the pre-existing support for batch publishing scalar measurement values.

This reflects the addition of this support to the service API itself in ni/ni-apis#161.

Implementation

• Updates _grpc_conversion.py to handle an Iterable of the various supported non-scalar data types being supplied as the values object being passed into publish_measurement_batch.
  • This use of Iterable is consistent with our existing support of an Iterable of float, int, str, and bool being supplied for batch publishing scalar values.
• Updated _grpc_conversion.py to handle an Iterable being supplied to publish_condition_batch that cannot be iterated more than once.

Why should this Pull Request be merged?

This PR should be submitted to maintain feature support/consistency between the MDS Python API and the DataStoreService itself.

What testing has been done?

• Added new unit tests related to populating the PublishMeasurementBatchRequest appropriately from batched, non-scalar values supplied to publish_measurement_batch
  • Includes error cases for heterogeneous Iterables and unsupported types being supplied
• Added acceptance tests verifying that non-scalar measurement data can successfully be batch published and then read back from MDS
• Added a notebook example describing and exercising both the scalar and non-scalar data cases of publish_measurement_batch (in addition to publish_condition_batch).
• Added new unit tests for better test coverage of populating PublishConditionBatchRequest appropriately

[Copilot]

Pull request overview

This pull request extends the NI DataStore Python client’s batch publishing support to include non-scalar measurement value types (e.g., AnalogWaveform, Vector, XYData) in addition to the existing scalar batch support, aligning the client with updated service API capabilities.

Changes:

• Updated gRPC request population logic to accept Iterables of supported non-scalar measurement types and map them into the appropriate PublishMeasurementBatchRequest fields.
• Added extensive unit and acceptance tests validating successful conversions/publishing and error handling for heterogeneous/unsupported iterables.
• Added a notebook example demonstrating batch publishing for both scalar and non-scalar measurements (and conditions).

Reviewed changes

Copilot reviewed 6 out of 7 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
tests/unit/data/test_publish_measurement.py	Updates an assertion to match the new unsupported-iterable error message format.
tests/unit/data/test_grpc_conversion.py	Adds unit tests covering batch conversion for multiple non-scalar types and error cases.
tests/acceptance/test_publish_measurement_batch_and_read_data.py	Adds acceptance tests for batch publishing/read-back of non-scalar values (e.g., AnalogWaveform, per-iteration Vector).
src/ni/datastore/data/_grpc_conversion.py	Implements iterable-of-non-scalar handling for publish_measurement_batch request construction.
pyproject.toml	Bumps ni-measurements-data-v1-client minimum prerelease version to pick up new API support.
poetry.lock	Updates locked dependency versions consistent with the updated client/proto requirements.
examples/notebooks/publish/publish_batch.ipynb	New notebook documenting and exercising scalar + non-scalar batch publishing flows.

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[dixonjoel]

Approved with a suggestion for code cleanup. I'm not doing 'Request Changes' since I'll be out on vacation as of tomorrow, so I'll trust you to address those.