yucheng-berri 877197918b fix(cloudzero): preserve late resource tags (#39873) ... * fix(cloudzero): infer daily batch schema from every row pl.DataFrame defaults to inferring column types from the first 100 rows, so a day whose batch starts with more than 100 rows missing team_alias, api_key_alias or user_email typed that column as Null and then raised a ComputeError on the first row that had a value, failing the whole export with a 500 and sending nothing. Pass infer_schema_length=None when rebuilding each day's DataFrame, the same guard the usage query already uses. * test(cloudzero): cover late tag schema inference Exercise the CloudZero resource tag field after a long run of missing values so a finite inference window fails the regression test. * fix(cloudzero): preserve late resource tags * style(cloudzero): remove redundant test comment		2026-09-05 12:10:05 -07:00
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cloudzero.py	feat(lint): enforce Final on locals and freeze function parameters (LIT010, LIT011)	2026-08-04 12:54:39 -07:00
cz_resource_names.py	feat(lint): enforce Final on locals and freeze function parameters (LIT010, LIT011)	2026-08-04 12:54:39 -07:00
cz_stream_api.py	fix(cloudzero): infer daily batch schema from every row (#39871)	2026-09-05 12:09:53 -07:00
database.py	fix(spend-tracking): hand plain dict rows to polars in the CloudZero and Focus exports	2026-09-03 18:46:01 -07:00
transform.py	fix(cloudzero): preserve late resource tags (#39873)	2026-09-05 12:10:05 -07:00