Overflow, out of memory in stream data (error 6)

Support & Troubleshooting Software & APIs
1

Hello, after working fine, datalogger start_streaming() started throwing an overflow error (python). There is more than enough space in the disk (both of Moku and in the PC hard drive). Will be happy to get an idea on where is it overflowing. It seems like a CLI issue because logging data (through the dedicated software) does not throw an error.
Thank you

 m=multiMoku(ipAddress)
>>> print(m)
<multiMoku.multiMoku object at 0x000001928D38E2F0>
>>> dl=datalogMoku(ipAddress,multi_instrument=m,slot=4)
>>> print(dl)
<multiMoku.datalogMoku object at 0x000001928D38E380>
>>> dl.start_streaming()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Cluster State\AppData\Local\Programs\Python\Python310\lib\site-packages\moku\instruments\_datalogger.py", line 395, in start_streaming
    response = self.session.post(
  File "C:\Users\Cluster State\AppData\Local\Programs\Python\Python310\lib\site-packages\moku\session.py", line 17, in func_wrapper
    return self.resolve(response)
  File "C:\Users\Cluster State\AppData\Local\Programs\Python\Python310\lib\site-packages\moku\session.py", line 166, in resolve
    self.handle_error(data.code, data.messages)
  File "C:\Users\Cluster State\AppData\Local\Programs\Python\Python310\lib\site-packages\moku\session.py", line 130, in handle_error
    raise exceptions.MokuException(messages)
moku.exceptions.MokuException: ['An error occurred while starting the logging session (error code 6)']
>>> dl.start_streaming()
{'stream_id': 'logsink3'}
>>> dl.get_stream_status()
{'available_memory': 200183808, 'cumulative_size': 0, 'error': 'Overflow, out of memory', 'no_of_chunks': 0, 'status': 'ERROR', 'stream_id': 'logsink3'}
2

Hi @elustig, fortunately Moku CLI will be updated soon, and streaming will become more reliable!

In the meantime, would you be able to send through the wrappers for connecting to the instrument or try running the following code?

from moku.instruments import Datalogger, MultiInstrument

m = MultiInstrument(IP_ADDR, force_connect=True, platform_id=4)
print(m)
# <moku.instruments._mim.MultiInstrument object at 0x00000131542419A0>
dl = m.set_instrument(1, Datalogger)
print(dl)
# <moku.instruments._datalogger.Datalogger object at 0x0000013153F2DD00>
print(dl.start_streaming())
# {'stream_id': 'logsink0'}
print(dl.get_stream_status())
# {'available_memory': 243613696, 'cumulative_size': 14152, 'error': '', 
#  'no_of_chunks': 17, 'status': 'RUNNING', 'stream_id': 'logsink0'}
dl.stop_streaming()
dl.relinquish_ownership()