Skip to main content

Tool to scan Open edX courses for various errors

Project description

OLX Cleaner

Build Status Coverage Status

This library aims to perform two functions:

  • Parse the XML code for an edX course, loading it into python objects
  • Validate the objects for errors

Based on this, two scripts are provided that leverage the library:

  • edx-cleaner constructs an error report, course tree and course statistics
  • edx-reporter constructs a LaTeX file representation of the course structure

Copyright (C) 2018-2019 Jolyon Bloomfield

Copyright (C) 2020-2023 The Center for Reimagining Learning, Inc. and Contributors

Links

Installation

This package may be installed from PYPI using pip install olxcleaner. It requires python 3.6 or later.

Repository Installation (advanced)

Clone this repository, and set up a virtual environment for python 3.6 or later. Run pip install -r requirements.txt to install the libraries, followed by pytest to ensure that all tests are passing as expected.

edx-cleaner Usage

Used to validate OLX (edX XML) code. This is a very light wrapper around the olxcleaner library, but exposes all of the functionality thereof.

Basic usage: run edx-cleaner in the directory of the course you want to validate.

Command-line options:

edx-cleaner [-h] 
            [-c COURSE]
            [-p {1,2,3,4,5,6,7,8}] 
            [-t TREE] [-l {0,1,2,3,4}]
            [-q] [-e] [-s] [-S]
            [-f {0,1,2,3,4}]
            [-i IGNORE [IGNORE ...]]
  • -h: Display help.
  • -c: Specify the course file to analyze. If not specified, looks for course.xml in the current directory. If given a directory, looks for course.xml in that directory.
  • -p: Specify the validation level you wish analyze the course at:
    • 1: Load the course
    • 2: Load the policy and grading policy
    • 3: Validate url_names
    • 4: Merge policy data with course, ensuring that all references are valid
    • 5: Validate the grading policy
    • 6: Have every object validate itself
    • 7: Parse the course for global errors
    • 8: Parse the course for detailed global errors (default)
  • -t TREE: Specify a file to output the tree structure to.
  • -l: Specify the depth level to output the tree structure to. Only used if the -t option is set. 0 = Course, 1 = Chapter, 2 = Sequential, 3 = Vertical, 4 = Content.
  • -q: Quiet mode. Does not output anything to the screen.
  • -e: Suppress error listing. Implied by -q.
  • -s: Suppress summary of errors. Implied by -q.
  • -S: Display course statistics (off by default). Overridden by -q.
  • -f: Select the error level at which to exit with an error code. 0 = DEBUG, 1 = INFO, 2 = WARNING, 3 = ERROR (default), 4 = NEVER. Exit code is set to 1 if an error at the specified level or higher is present.
  • -i: Specify a space-separated list of error names to ignore. See Error Listing.

edx-reporter Usage

The olxcleaner library includes modules that parse a course into python objects. This can be useful if you want to scan a course to generate a report. We exploit this in edx-reporter to generate a LaTeX report of course structure.

Basic usage: run edx-reporter in the directory of the course you want to generate a report about.

Command-line options:

edx-reporter.py [-h] 
                [-c COURSE]
                [-u]
                [> latexfile.tex]
  • -h: Display help.
  • -c: Specify the course file to analyze. If not specified, looks for course.xml in the current directory. If given a directory, looks for course.xml in that directory.
  • -u: Include url_names for verticals.
  • > latexfile.tex: Output the report to a file.

If you get an error like Character cannot be encoded into LaTeX: U+FEFF - `', then you have some bad unicode in your display_name entries. Look through the LaTeX output for {\bfseries ?}, which is what that character is converted into.

Once you have generated a latex file, you can compile it into a PDF file by running pdflatex latexfile.tex. Note that the latex file can be modified with any text editor; its format should be self-explanatory.

Library usage

The workhorse of the library is olxcleaner.validate, which validates a course in a number of steps.

olxcleaner.validate(filename, steps=8, ignore=None, allowed_xblocks=None)
  • filename: Pass in either the course directory or the path of course.xml for the course you wish to validate.
  • steps: Choose how many validation steps you wish to perform:
    • 1: Load the course
    • 2: Load the policy and grading policy
    • 3: Validate url_names
    • 4: Merge policy data with course, ensuring that all references are valid
    • 5: Validate the grading policy
    • 6: Have every object validate itself
    • 7: Parse the course for global errors
    • 8: Parse the course for global errors that may be time-consuming to detect
  • ignore: A list of error names to ignore
  • allowed_xblocks: A list of all allowed xblocks that course olx may contain.

Returns EdxCourse, ErrorStore, url_names (dictionary {'url_name': EdxObject}, or None if steps < 3)

See examples of how to use olxcleaner.validate and the objects it returns in olxcleaner.entries.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

olxcleaner-0.2.1.tar.gz (47.3 kB view details)

Uploaded Source

Built Distribution

olxcleaner-0.2.1-py3-none-any.whl (57.0 kB view details)

Uploaded Python 3

File details

Details for the file olxcleaner-0.2.1.tar.gz.

File metadata

  • Download URL: olxcleaner-0.2.1.tar.gz
  • Upload date:
  • Size: 47.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for olxcleaner-0.2.1.tar.gz
Algorithm Hash digest
SHA256 d857534b5594f7c08e2246059f6ea6d7a0c0766242e55b338365d8fa05f06c67
MD5 2319660964255ba0626f421f787c515e
BLAKE2b-256 cf81ba246a479498ffbc7e19615605934190fd1ae2799de636c01678524a1a0f

See more details on using hashes here.

File details

Details for the file olxcleaner-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: olxcleaner-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 57.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for olxcleaner-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a446c8c18a8638513a904b219e6606e2c2a295015dcd3a4ec5540449ccbebf92
MD5 679998833e119bede639053b65786e70
BLAKE2b-256 2c837e98588133965f3db83eb57791c4536946008dcb6fc77e0513005e4de79a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page