fix: convert pd.NaT to None for event_timestamp

[dcfidalgo]

When providing a pandas NaT as event_timestamp, the server response is:

import rubrix as rb

rec = rb.TextClassificationRecord(inputs="test", event_timestamp=pd.NaT)
rb.log(rec, "test")
""" output
ValidationApiError: Rubrix server returned an error with http status: 422
Error details: [{'code': 'rubrix.api.errors::ValidationError', 'params': {'model': 'Request', 'errors': [{'loc': ['body', 'records', 0, 'event_timestamp'], 'msg': 'invalid datetime format', 'type': 'value_error.datetime', 'value': 'NaT'}]}}]
"""

This PR converts pandas NaT to None when provided as input to a Rubrix client model.

[frascuchon]

When providing a pandas NaT as event_timestamp, the server response is:

import rubrix as rb

rec = rb.TextClassificationRecord(inputs="test", event_timestamp=pd.NaT)
rb.log(rec, "test")
""" output
ValidationApiError: Rubrix server returned an error with http status: 422
Error details: [{'code': 'rubrix.api.errors::ValidationError', 'params': {'model': 'Request', 'errors': [{'loc': ['body', 'records', 0, 'event_timestamp'], 'msg': 'invalid datetime format', 'type': 'value_error.datetime', 'value': 'NaT'}]}}]
"""

This PR converts pandas NaT to None when provided as input to a Rubrix client model.

nice error info ! :-)

[codecov]

Codecov Report

Merging #1105 (391d170) into master (e931543) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master    #1105   +/-   ##
=======================================
  Coverage   94.98%   94.98%           
=======================================
  Files         119      119           
  Lines        4483     4491    +8     
=======================================
+ Hits         4258     4266    +8     
  Misses        225      225           

Flag	Coverage Δ
pytest	94.98% <100.00%> (+<0.01%)	⬆️

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Impacted Files	Coverage Δ
src/rubrix/client/models.py	98.91% <100.00%> (+0.10%)	⬆️

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