task-tracker

Install

Task-tracker is available on pip!

pip install task-tracking==0.0.2

How to use

Example on how to use task-tracker on a lasagne recipe.

Note

You can find the notebook and the results of the lasagne recipe at https://github.com/KonKob/task-tracker/blob/main/test_data.

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This is how the landing page looks like after completing a trial:

• Whenever the trial is started here, an audio recording is started, that can be transcribed after completion of the trial.

• At the right you see the timeline of tasks over the session so far. You can update it at any time.

• In the middle of the landing page, you can add a description manually to running or finished tasks.

• The proband metadata can be saved at any time by clicking Export proband metadata.

• To pause all tasks, you can click Start pause for all during a running trial.

The proband metadata can be entered in the following mask:

Tasks, that you want to track, are shown in different tabs.

• Whenever you click on a task, this task is started and another task running in this tab is ended. You can end a task by clicking No task running as well.

• If you find, that you forgot a tasks, you can add it by entering the name in the grey line Other and then clicking the grey button Other.

• To pause a task, just hit Start pause.

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Exporting the results creates excel files.

#from task_tracker.utils import load_trial
#trial = load_trial("../test_data/2023-08-07_17.43.23_0000_Chef/")
#trial.tasks_dataframe.head()

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style>

	lane	duration_in_s	task_number	task_name	start_time	end_time	description_0
0	Kitchen appliances	1.3528	12	Pause	203.6099	204.9627	220°C
1	Kitchen appliances	52.8952	6	Stove	89.5415	142.4367	NaN
2	Kitchen appliances	111.9687	12	Oven	142.4370	255.7585	220°C
3	Ingredients	28.0470	0	Onions	10.3749	38.4219	NaN
4	Ingredients	19.8456	2	Carrots	39.5850	59.4306	NaN

For visualization, several plots are created.

The cumulative duration spent in certain tasks can be shown as bar and tie plots.

It can also be shown, how much time was spent in tasks running in parallel to other tasks.