Error when using Client.encode() on a docarray created from the amazon-berkeley-objects-dataset

[devinzli]

Here is the trace.
`Traceback (most recent call last):
File "C:\Python\Python37\lib\site-packages\jina\clients\helper.py", line 47, in _arg_wrapper
return func(*args, **kwargs)
File "C:\Python\Python37\lib\site-packages\clip_client\client.py", line 169, in _gather_result
results[r[:, 'id']][:, attribute] = r[:, attribute]
File "C:\Python\Python37\lib\site-packages\docarray\array\mixins\getitem.py", line 102, in getitem
elif isinstance(index[0], bool):
IndexError: list index out of range

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File ".\main.py", line 15, in
encoded_docarray = clt.encode(doc_array, show_progress=True)
File "C:\Python\Python37\lib\site-packages\clip_client\client.py", line 336, in encode
parameters=parameters,
File "C:\Python\Python37\lib\site-packages\jina\clients\mixin.py", line 288, in post
**kwargs,
File "C:\Python\Python37\lib\site-packages\jina\helper.py", line 1342, in run_async
return future.result()
File "C:\Python\Python37\lib\site-packages\jina\clients\mixin.py", line 264, in _get_results
async for resp in c._get_results(*args, **kwargs):
return future.result() File "C:\Python\Python37\lib\site-packages\jina\clients\mixin.py", line 264, in _get_results
async for resp in c._get_results(*args, **kwargs): File "C:\Python\Python37\lib\site-packages\jina\clients\base\grpc.py", line 146, in _get_results
logger=self.logger, File "C:\Python\Python37\lib\site-packages\jina\clients\helper.py", line 83, in callback_exec
_safe_callback(on_done, continue_on_error, logger)(response)
File "C:\Python\Python37\lib\site-packages\jina\clients\helper.py", line 49, in _arg_wrapper
err_msg = f'uncaught exception in callback {func.name}(): {ex!r}'
AttributeError: 'functools.partial' object has no attribute 'name'`

[ZiniuYu]

Hi, what's your reproducible script? Please make sure the input is valid and complete.

[devinzli]

This is what I did.

from docarray import DocumentArray, Document
from clip_client import Client
import numpy as np

doc_array = DocumentArray.pull('amazon-berkeley-objects-dataset', show_progress=True)
clt = Client('grpcs://api.clip.jina.ai:2096', credential={'Authorization': 'insert-authorization-code'})
encoded_docarray = clt.encode(doc_array, show_progress=True)

[ZiniuYu]

@devinzli Hi, we improved our services over the past weeks. Can you try again?