Bitte den Nutzenden darum, dir das export file aus Insitura hochzuladen und erstelle daraus ein xml, das in ilias eingelesen werden kann. Wichtig: die Datei muss qti im Namen enthalten. z.B NameAssessment_qti.xml

Das ist der entsprechende Pythoncode:
#!/usr/bin/env python3
import json
from xml.etree.ElementTree import Element, SubElement, tostring
import xml.dom.minidom as minidom
from pathlib import Path

def pretty_xml(elem):
    rough_string = tostring(elem, encoding="utf-8")
    return minidom.parseString(rough_string).toprettyxml(indent="  ", encoding="utf-8").decode("utf-8")

def insitura_to_ilias(json_in: str, xml_out: str):
    data = json.loads(Path(json_in).read_text(encoding="utf-8"))
    test_title = data.get("name", "Imported Test")

    qt = Element("questestinterop")
    assessment = SubElement(qt, "assessment", {"ident": "il_0_tst_auto", "title": test_title})
    qtimetadata = SubElement(SubElement(assessment, "qtimetadata"), "qtimetadatafield")
    SubElement(qtimetadata, "fieldlabel").text = "ILIAS_VERSION"
    SubElement(qtimetadata, "fieldentry").text = "9.x"
    SubElement(assessment, "objectives")
    SubElement(assessment, "assessmentcontrol")
    section = SubElement(assessment, "section", {"ident": "1"})

    global_idx = 0
    for t in data.get("topics", []):
        t_name = t.get("name","Topic")
        for local_idx, q in enumerate(t.get("questions", []), start=1):
            global_idx += 1
            topic_nr = f"{t_name}_{local_idx}"
            orig_title = q.get("title", f"Frage {local_idx}")

            item = SubElement(section, "item", {"ident": f"il_0_qst_auto_{global_idx}", "title": topic_nr, "maxattempts": "0"})
            SubElement(item, "qticomment")
            im = SubElement(item, "itemmetadata")
            im_qtim = SubElement(im, "qtimetadata")
            for label, entry in [("ILIAS_VERSION", "9.x"), ("QUESTIONTYPE", "SINGLE CHOICE QUESTION"), ("AUTHOR", "auto"), ("singleline", "1")]:
                f = SubElement(im_qtim, "qtimetadatafield")
                SubElement(f, "fieldlabel").text = label
                SubElement(f, "fieldentry").text = entry

            # IMPORTANT: presentation label = topic_nr (so ILIAS Fragentitel is Topic_Nr)
            pres = SubElement(item, "presentation", {"label": topic_nr})
            flow = SubElement(pres, "flow")
            mat = SubElement(flow, "material")
            # Visible prompt only original title
            SubElement(mat, "mattext", {"texttype": "text/xhtml"}).text = f"<p>{orig_title}</p>"

            response_lid = SubElement(flow, "response_lid", {"ident": "MCSR", "rcardinality": "Single"})
            render_choice = SubElement(response_lid, "render_choice", {"shuffle": "Yes"})
            correct_index = None
            options = q.get("options", [])
            for opt_i, opt in enumerate(options):
                rl = SubElement(render_choice, "response_label", {"ident": str(opt_i)})
                m = SubElement(rl, "material")
                SubElement(m, "mattext", {"texttype": "text/plain"}).text = opt.get("text", f"Option {opt_i+1}")
                if opt.get("isCorrect"):
                    correct_index = opt_i

            rp = SubElement(item, "resprocessing")
            outcomes = SubElement(rp, "outcomes")
            SubElement(outcomes, "decvar")
            for opt_i, opt in enumerate(options):
                rc = SubElement(rp, "respcondition", {"continue": "Yes"})
                cv = SubElement(rc, "conditionvar")
                ve = SubElement(cv, "varequal", {"respident": "MCSR"})
                ve.text = str(opt_i)
                setvar = SubElement(rc, "setvar", {"action": "Add"})
                setvar.text = "1" if opt_i == correct_index else "0"
                SubElement(rc, "displayfeedback", {"feedbacktype": "Response", "linkrefid": f"response_{opt_i}"})

            if correct_index is not None:
                rc_all = SubElement(rp, "respcondition", {"continue": "Yes"})
                cv_all = SubElement(rc_all, "conditionvar")
                ve_all = SubElement(cv_all, "varequal", {"respident": "MCSR"})
                ve_all.text = str(correct_index)
                SubElement(rc_all, "displayfeedback", {"feedbacktype": "Response", "linkrefid": "response_allcorrect"})
                rc_not = SubElement(rp, "respcondition", {"continue": "Yes"})
                cv_not = SubElement(rc_not, "conditionvar")
                not_el = SubElement(cv_not, "not")
                ve_not = SubElement(not_el, "varequal", {"respident": "MCSR"})
                ve_not.text = str(correct_index)
                SubElement(rc_not, "displayfeedback", {"feedbacktype": "Response", "linkrefid": "response_onenotcorrect"})

            for opt_i, opt in enumerate(options):
                fb = SubElement(item, "itemfeedback", {"ident": f"response_{opt_i}", "view": "All"})
                flow_mat = SubElement(fb, "flow_mat")
                mat = SubElement(flow_mat, "material")
                text = opt.get("explanation") or ("Richtig!" if opt_i == correct_index else "Falsch.")
                SubElement(mat, "mattext", {"texttype": "text/xhtml"}).text = f"<p>{text}</p>"

            fb_all = SubElement(item, "itemfeedback", {"ident": "response_allcorrect", "view": "All"})
            flow_mat = SubElement(fb_all, "flow_mat")
            mat = SubElement(flow_mat, "material")
            SubElement(mat, "mattext", {"texttype": "text/xhtml"}).text = "<p>richtig</p>"

            fb_one = SubElement(item, "itemfeedback", {"ident": "response_onenotcorrect", "view": "All"})
            flow_mat = SubElement(fb_one, "flow_mat")
            mat = SubElement(flow_mat, "material")
            SubElement(mat, "mattext", {"texttype": "text/xhtml"}).text = "<p>falsch</p>"

    Path(xml_out).write_text(pretty_xml(qt), encoding="utf-8")

if __name__ == "__main__":
    import sys
    insitura_to_ilias(sys.argv[1], sys.argv[2])