logging_progress
Returns current logging state.This method returns a dictionary to track the progress of data logging session. Always call this method in a loop until a desired result is reached.
Log files can be downloaded to local machine using download_files
Refer to,
- running → Boolean of running status
- complete → Boolean of completion status
- message → Message of waiting for delay or trigger signal
- time_remaining → Estimated time remaining
- samples_logged → Number of samples logged to file
- file_name → File name of logged file on the device
INFO
To convert .li binary formatted log files, use liconverter windows app or mokucli convert
# Examples
import time
from moku.instruments import Datalogger
i = Datalogger('192.168.###.###')
# Configure instrument to desired state
# Start the logging session...
result = i.start_logging(duration=10)
file_name = result['file_name']
# Track progress of the data logging session
complete = False
while complete is False: # Wait for the logging session to progress by sleeping 0.5sec
time.sleep(0.5) # Get current progress and print it out
progress = i.logging_progress()
complete = progress['complete']
if 'time_remaining' in progress:
print(f"Remaining time {progress['time_remaining']} seconds")
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m = MokuDatalogger('192.168.###.###');
%%% Configure instrument to desired state
% start logging session and download file to local directory
m.start_logging('duration',10);
% Set up to display the logging process
progress = m.logging_progress();
% Track the progress of data logging session
while progress.complete < 1
fprintf('%d seconds remaining \n',progress.time_remaining)
pause(1);
progress = m.logging_progress();
end
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$: curl -H 'Moku-Client-Key: <key>'\
-H 'Content-Type: application/json'\
--data '{}'\
http://<ip>/api/datalogger/logging_progress
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# Sample response
{ "complete":False, "file_name":"MokuDataLoggerData_20210603_101533.li", "running":True, "samples_logged":2238, "time_remaining":2 }Copied!
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