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    CodeGradX is a grading infrastructure

    • where students submit programs to solve exercises and these programs are mechanically graded,
    • where authors deploy exercises and propose them to students,
    • where teachers may follow the progress of a cohort of students.

    The CodeGradX infrastructure (or constellation since the infrastructure is made of a number of independent servers) is operated via REST protocols. To ease its use, CodeGradXlib is a Javascript Library that provides a programmatic API to operate the CodeGradX infrastructure.

    CodeGradXlib is a low level library, using promises everywhere. A higher level library is provided by CodeGradXagent: a command line script, running on top of Node.js (another higher level library is the CodeGradXvmauthor command line script that operates a local virtual machine that runs locally the whole CodeGradX infrastructure). This low lever library may be used by other web applications.

    More information (partially in French) on the CodeGradX infrastructure.


    npm install codegradxlib

    If you are CLI-inclined then

    npm install codegradxagent

    If you use the virtual machine for authors then

    npm install codegradxvmauthor


    In this section, important words are capitalized and correspond to classes in the CodeGradXlib code.

    Here is an example of use of the CodeGradXlib library.

    // Example of use:
    var CodeGradX = require('codegradxlib');
    new CodeGradX.State();
      // ask for user's login and password:
      getAuthenticatedUser(login, password).
        then(function (user) {
           // let the user choose one campaign among user.getCampaigns()
           // let us say that we choose campaign 'free':
             then(function (campaign) {
               // let the user choose one exercise among campaign.getExercisesSet()
                 then(function (exercise) {
                     then(function (description) {
                       // display stem of exercise and get user's answer:
                         then(function (job) {
                           // wait for the marking report:
                             then(function (job) {
                               // display

    You must first initialize the CodeGradXlib library by creating a State. This State concentrates some global resources for the library and mentions the various servers of the CodeGradX infrastructure and how to check their availability. It is probably worthless to change the default setting.

    Then you must authenticate with respect to the CodeGradX infrastructure with a login and a password. To get this login and password, you must register. The authentication process returns a User object.

    The User object lists the Campaigns the User may access. A Campaign is a Javascript object offering a set of Exercises (an ExercisesSet), to a group of students during a certain period of time. You may then choose one campaign among the available campaigns. Once a campaign is choosen, the tree of associated exercises can be obtained from that campaign and from that tree, one may choose a particular exercise.

    To an Exercise is associated a description containing a stem (an XML document ruled by a RelaxNG grammar) and, somewhere hidden in the constellation of CodeGradX servers, some grading scripts. A User may send a string or a file (a tar gzipped file if more than one file is expected) against an Exercise. Other metadata are associated to the Exercise defining the authors, the expectations (one or multiple files, how they should be named, templates for them, approximate size, etc.): all information useful to set appropriately the user interface.

    When an answer is sent towards an Exercise, a Job is returned from which a grading report may be obtained. The grading report is stored as a property of the Job. The grading report is an XML document ruled by a RelaxNG grammar so this report is skinnable. This XML is a side-set of HTML, a naive converter (named CodeGradX.xml2html) is included in the library.

    Users that are also potential authors of Exercises may submit a new exercise that is, a tar-gzipped file with a precise structure., An Exercise is then returned from which an author's report may be obtained telling whether the Exercise was deployed or not. Grading reports must be valid XML document with respect to the grammar mentioned above. If the new exercise produces invalid document or if the grading scripts are erroneous a problem report can also be obtained from the job: see the getProblemReport method.

    Users may gather students' answers in a big tar gzipped file and submit all these answers against one Exercise in a Batch. A Batch object is returned from which Jobs can be individually obtained.

    Many details can be found (in English) in the documentation that contains the RelaxNG grammar .


    Chapter 1 of the big documentation is useful to have an overview of the CodeGradX constellation.

    State, User, Exercise, Job etc. are classes defined in the source code, they are equiped with multiple methods.

    The grammar of XML documents provides information on the various fields of objects of classes State, User, Exercise, Job etc. It also describes the various exchanges between the user's browser and the CodeGradX constellation.


    npm i codegradxlib

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