[V8] Ingesting no datapoints no longer raises an exception

[MortGron]

v8 overview: https://cognitedata.atlassian.net/browse/DM-3055

Description

Ingesting no datapoints will no longer raise an error. When ingesting datapoints into multiple time series, if one of them contains no datapoints, that will be removed from the request.

Checklist:

• Tests added/updated.
• Documentation updated. Documentation is generated from docstrings - these must be updated according to your change.
  If a new method has been added it should be referenced in cognite.rst in order to generate docs based on its docstring.
• Changelog updated in CHANGELOG.md.
• Version bumped. If triggering a new release is desired, bump the version number in _version.py and pyproject.toml per semantic versioning.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 90.65%. Comparing base (9cd62cb) to head (ada8eae).
⚠️ Report is 118 commits behind head on master.

Additional details and impacted files

@@           Coverage Diff           @@
##           master    #2172   +/-   ##
=======================================
  Coverage   90.64%   90.65%           
=======================================
  Files         159      159           
  Lines       24118    24120    +2     
=======================================
+ Hits        21862    21866    +4     
+ Misses       2256     2254    -2     

Files with missing lines	Coverage Δ
cognite/client/_api/datapoints.py	98.77% <100.00%> (+0.14%)	⬆️

... and 1 file with indirect coverage changes

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[MortGron]

Should this be part of V8 release? It changes tested behaviour, so I assume it would? @erlendvollset

[erlendvollset]

LGTM. Bump version and update changelog, and it should be good to go!

[erlendvollset]

Should this be part of V8 release? It changes tested behaviour, so I assume it would? @erlendvollset

Changes behaviour yes, but not in a breaking way, so a minor version bump is sufficient.

[erlendvollset]

It is in fact breaking, I did not consider this (thanks @larshagencognite):

def is_empty(my_list: list[object]):
  try:
    cognite_client.timeseries.datapoints.ingest([{timestamp:..., value:...} for obj in my_list])
    return False
  except Exception:
    return True

[haakonvt]

Merged manually into #2273