Expected Behavior
- The format used in python different with the one used in import job
Current Behavior
- The sdk is using csv format as staging file before ingesting to feast
- It's using different zone offset format for the timestamp column than the one used in the import job
Steps to reproduce
Using the quickstart:
df = pd.read_csv('./train_head.csv', index_col=False)
df['pickup_datetime'] = pd.to_datetime(df['pickup_datetime']) # 'pickup_datetime' is a proper datetime column
...
importer = Importer.from_df(df,
entity='test_entity',
owner='user@go-jek.com',
staging_location=STAGING_LOCATION,
id_column='entity_id',
timestamp_column='pickup_datetime')
fs.run(importer, apply_features=True, apply_entity=True)Specifications
Possible Solution
The current workaround is:
df['pickup_datetime'] = pd.to_datetime(df['pickup_datetime']).apply(lambda d: d.replace(tzinfo=None))
@romanwozniak
Expected Behavior
Current Behavior
Steps to reproduce
Using the quickstart:
Specifications
Possible Solution
The current workaround is:
@romanwozniak