Pace and format fields for LearningResource model

[mbertrand]

What are the relevant tickets?

Closes https://github.com/mitodl/hq/issues/5127
Closes https://github.com/mitodl/hq/issues/5128

Description (What does it do?)

Adds the format and pace fields and populates them via ETL pipelines

How can this be tested?

• Copy all the .env values needed for ETL pipelines (see settings_course_etl.py) from RC, except contentfile-related settings (buckets for contentfiles).

• Run docker compose up or docker compose run --rm web ./manage.py migrate. The new migration should complete successfully.

• Run all the following pipelines, they should complete successfully:

  ./manage.py backpopulate_mitx_edx_data
  ./manage.py backpopulate_micromasters_data
  ./manage.py backpopulate_mitxonline_data
  ./backpopulate_ocw_data --course-name 21w-758-genre-fiction-workshop-fantasy-fall-2016 --skip-contentfiles
  ./manage.py backpopulate_oll_data
  ./manage.py backpopulate_prolearn_data
  ./manage.py backpopulate_sloan_data
  ./manage.py backpopulate_xpro_data
  

• Check that the program "Supply Chain Management" has a pace value of ["self_paced", "instructor_paced"]

• Verify that the calculate of pace and format values follows the guidelines set per source in this spreadsheet. - - Run this code in a shell, you should get the same output assuming you have resources from each source:

  from learning_resources.etl.constants import ETLSource
  from learning_resources.models import *
  lrs = LearningResource.objects.filter(published=True)
  for source in ETLSource.names():
    print(
        source, 
        list(lrs.filter(etl_source=source).values_list("pace",flat=True).distinct()), 
        list(lrs.filter(etl_source=source).values_list("format", flat=True).distinct())
    )

  micromasters [['self_paced']] [['asynchronous']]
  mit_edx [['self_paced'], ['instructor_paced']] [['asynchronous']]
  mitxonline [['instructor_paced'], ['self_paced']] [['asynchronous']]
  oll [['self_paced']] [['asynchronous']]
  xpro [['self_paced']] [['asynchronous']]
  ocw [['self_paced']] [['asynchronous']]
  prolearn [['instructor_paced']] [['asynchronous']]
  podcast [['self_paced']] [['asynchronous']]
  see [['instructor_paced'], ['self_paced']] [['asynchronous'], ['asynchronous', 'synchronous'], ['synchronous']]
  youtube [['self_paced']] [['asynchronous']]

Additional Context

Pace and format were modeled as lists at the resource level because it's possible that a program might have multiple values depending on the courses that make up the program (some might be a mix of sync and async, instructor-paced and self-paced).
Also, at one point there was a Sloan course with runs that were a mix of instructor-paced and self-paced, sync and async (though that is no longer the case).

[shanbady]

LGTM 👍