acoustic-carpenter-78188
09/29/2025, 7:38 PM@fl.task(container_image=image)
def get_timestamp() -> pd.Timestamp:
return pd.Timestamp("2024-09-29 15:30:45")
@fl.workflow
def timestamp_wf() -> pd.Timestamp:
return get_timestamp()
gives this error:
TypeTransformerFailedError: Failed to convert
outputs of task 'timestamp_wf.get_timestamp' at
position 0.
Failed to convert type <class
'pandas._libs.tslibs.timestamps.Timestamp'> to type
<class 'pandas._libs.tslibs.timestamps.Timestamp'>.
Error Message: Expected value of type <class
'datetime.datetime'> but got '2024-09-29 15:30:45'
of type <class
'pandas._libs.tslibs.timestamps.Timestamp'>.
We need a pandas timestamp type transformer.
## How was this patch tested?
Tested locally and remotely. For remote run, just installed flytekit from the da72500c93e1ff1107a24f1e67eb453a443e4d82 commit on the image.
## Check all the applicable boxes
• I updated the documentation accordingly.
• All new and existing tests passed.
• All commits are signed-off.
## Related PRs
## Docs link
https://bito.ai#summarystart|
### Summary by Bito
This pull request introduces the PandasTimestampTransformer class to convert between pandas.Timestamp and Flyte DATETIME literals, addressing a type conversion error in workflows. It includes updates to import statements and has been tested for functionality both locally and remotely.
flyteorg/flytekit