Capture measurements in CSV based on time intervals

• CodeCarbon version: 2.2.2
• Python version: 3.11.5
• Operating System: Linux-6.2.0-35-generic-x86_64-with-glibc2.35

Description

I have implemented a method that enables the capture and storage of consumption logs (CSV format) in parallel every second during the execution of my algorithm. Nevertheless, I would be interested in exploring whether there are more efficient alternatives from a technical or academic standpoint to accomplish this process. Below, I am providing the code of my current solution for review and suggestions.

What I Did

from codecarbon import EmissionsTracker
import threading

pthread=1
def fthread():
    while pthread:
        tracker.flush()
        time.sleep(1)

# Creates an instance of a thread and passes the function is executed.
eng_measure = threading.Thread(target=fthread)

# Training 
tracker = EmissionsTracker(project_name="Test",tracking_mode="machine")
tracker.start()
eng_measure.start()
try:
    # code
finally:
    pthread = 0
    eng_measure.join()
    emissions = tracker.stop()

The issue names no repository files or tests; start by tracing the EmissionsTracker start, flush, and stop entry points and how CSV output is produced. Clarify the required interval behavior and efficiency criteria first, since completion cannot be verified until an implementation approach and expected output are agreed.