High Memory Usage while longt term testing

When performing the network-test memory usage of the end-device highliy encreases. This could be caused by constantly keeping all the data in memory instead of dumping it to csv. Also an idea could be to max-out the file size / entries of an csv file to about 30K entries and then start a new file. (Also starting with a fresh data frame)


Look for the network-test script that writes CSV data. Identify where data is kept in memory (likely a DataFrame) and not flushed. Check if there's a loop or long-running process that accumulates data. The fix involves limiting entries per CSV file (e.g., 30k) and resetting the DataFrame periodically. Test memory usage before and after changes.

Written by the indexing model from the issue text.