[AIRFLOW DAG] Update covid ch dashboard

[eduardocorrearaujo]

DAG Description

It's necessary to create dags to weekly update the results of the dashboard:
https://epigraphhub.org/covidch/

Basic Workflow

• what would be the expected result?
  This dag would pull the data from the epigraphhub database and apply some machine learning models in this data to forecast it. After making the forecast the dag should upload the data frame with the forecasted values in the database.

• are the modules/methods for the dag already written? if so, where can it be found?
  This method uses some functions in the epigraphhub_py package. But I already have the scripts written on my personal machine.

• when should the DAG run? daily? weekly? triggered by another DAG?
  This DAG should be run after the dag that uploads the foph tables.

More info

No response

[luabida]

@eduardocorrearaujo could you provide more information about the DAG, for example:

• what would be the expected result?
• are the modules/methods for the dag already written? if so, where can it be found?
• when the DAG should run? daily? weekly? triggered by another DAG?

[eduardocorrearaujo]

@eduardocorrearaujo could you provide more information about the DAG, for example:

what would be the expected result?
This dag would pull the data from the epigraphhub database and apply some machine learning models in this data to forecast it. After making the forecast the dag should upload the data frame with the forecasted values in the database.

are the modules/methods for the dag already written? if so, where can it be found?
This method uses some functions in the epigraphhub_py package. But I already have the scripts written on my personal machine.

when should the DAG run? daily? weekly? triggered by another DAG?
This DAG should be run after the dag that uploads the foph tables

[luabida]

This DAG should be run after the dag that uploads the foph tables

I've created a template with the start and end tasks (triggered by foph - done task). Let me know if you have any questions about this template.

[eduardocorrearaujo]

The code to update the results of the covid ch dashboard should be applied after the update of the foph data. In the foph tasks, we have, after the task done a task to remove the data download (remove_csv_dir).

Do you think that it should be better to put the task to upload the dashboard after done and before remove_csv_dir, so we could use this data saved in the csv instead of pull the data from the epigraphhub database (what could save some time) or put this task after the remove_csv_dir and pull the data from the database?

[eduardocorrearaujo]

Another possible issue concerning this DAG is that I train the models in my machine before applying the models. So, we should define a time to retrain the models periodically with new data. Do you think 2 months is a good time interval??

[luabida]

Do you think that it should be better to put the task to upload the dashboard after done and before remove_csv_dir

I think if you wanna use the CSV with the data that is going to DB before being deleted, just delete the task remove_csv_dir and let the other DAG take care of deleting it, this way you would get rid of querying the database.

[luabida]

Another possible issue concerning this DAG is that I train the models in my machine before applying the models. So, we should define a time to retrain the models periodically with new data. Do you think 2 months is a good time interval??

Sorry, I'm not quite sure if I understood the problem here

[fccoelho]

Another possible issue concerning this DAG is that I train the models in my machine before applying the models. So, we should define a time to retrain the models periodically with new data. Do you think 2 months is a good time interval??

Yes. The models don't need to be re-trained very often. Only the prediction has to be generated every week.
but the scipt to train the models should be versioned somewhere, even if it is not run by a DAG.

[luabida]

The DAG could still be triggered by a external task and have a 2 months interval at the same time, the version would be the timestamp of the dag run, something lilke: scheduled__2022-10-17T14:06:34.055306+00:00

[eduardocorrearaujo]

@fccoelho @luabida the data collection code is saved into the path: epigraphhub.data.data_collection.foph of epigraphhub. After the refac that you are doing, where you think the functions used to upload the results of the dashboard should be stored? I think about something like: epigraphhub.apps.switzerland.foph what are your toughts about it? I just would like to remember that this code is used to train and apply ML models.

[luabida]

From my point of view, apps implies that switzerland is an application. Wouldn't be better something like epigraphhub.models.switzerland.foph?

[eduardocorrearaujo]

With apps I refer to the fact that this code is related to a dashboard application created by epigraphhub. So this code is not general. The functions used in this script already come from epigraphhub.analysis.forecast_models.ngboost_models (which is general)

[fccoelho]

Any code that is specific to a single dashboard does not belong in the library. Keep that in mind.