`sedrila`: Tool infrastructure for building and running "self-driven lab" courses

A "self-driven lab" (SeDriLa) course is one where students select freely a subset from a large set of tasks. The tasks are described with sufficient detail that no guidance from an instructor is needed most of the time.

sedrila is a command-line tool supporting course authors for authoring a course and then course instructors and students for executing it.

Find the documentation at readthedocs.

1. Ideas for future versions

1.1 A currently needed refactoring: Target directory structure

The current layout of the source tree is wrong. Currently, the templates and baseresources directories will end up as top-level directories when the package is installed, which means they will clash with any top-level modules of that name anywhere in our dependencies.

We need to perform the following refactorings to arrive at a proper structure:

py --> sedrila: This will be the top level directory that gets installed.
sedrila/sdrl/* --> sedrila/*: We remove the now-intermediate namespace. This implies joining the current sdrl/tests into sedrila/tests.
templates --> sedrila/templates: The HTML templates simply become part of the tree to be installed.
baseresources --> sedrila/baseresources: Ditto.

These changes require a lot of changes of import statements. For instance, the current module base will become sedrila.base and sdrl.course will become sedrila.course. The logic for computing sedrila_libdir in courses.py must be adapted. SedrilaArgParser.get_version() must be adapted. The files lists in pyproject.toml must be corrected.

Also: Perhaps use deply for checking the layer structure described in internal_notes.md: https://github.com/vashkatsi/deply

1.2 `instructor`

Reject submissions where course_url is different from what it was in that repo's first accepted submission.

1.3 `student`

2. Development process: TODO-handling during development

We use this convention for the development of sedrila. It may also be helpful for course authors if the team is small enough.

If something is incomplete, add a TODO marker with a priorization digit and add a short description of what needs to be done. Examples:

TODO 1: find proper formulation
TODO 2: restructure to use ACME lib
TODO 3: add automatic grammar correction

Priorities:

1: to be completed soon (within a few days)
2: to be completed once the prio 1 things are done (within days or a few weeks)
3: to be completed at some later time (usually several weeks or more into the future, because it is big) or never (because it is not-so-important: "nice-to-have features")

Then use the IDE global search to work through these layer-by-layer. Demote items to a lower priority when they become stale or remove them. Kick out prio 3 items when they become unlikely.

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