How to use the clldutils.jsonlib.dump function in clldutils

for e in read_terms().iter():
        if ns('rdf:about') in e.attrib:
            lname = e.attrib[ns('rdf:about')].split('#')[-1]
            if e.tag == ns('rdfs:Class') and lname.endswith('Table'):
                tables[lname] = e
            elif e.tag == ns('rdf:Property'):
                columns[lname] = e

    comps = {}
    for subdir, spec in COMPONENTS.items():
        table = make_table(tables.pop(spec['table']))
        for c, req in spec['columns']:
            table['tableSchema']['columns'].append(make_column(columns[c], req))
        comps[subdir] = table
        dump(
            table,
            REPO_DIR.joinpath(
                'components', subdir, '{0}-metadata.json'.format(spec['table'])),
            indent=4)

    for subdir, comprefs in MODULES.items():
        dump(
            OrderedDict([
                ("@context", ["http://www.w3.org/ns/csvw", {"@language": "en"}]),
                ("dc:conformsTo",
                 "http://cldf.clld.org/v1.0/terms.rdf#{0}".format(subdir)),
                ("dialect", {
                    "commentPrefix": None,
                }),
                ("tables", [comps[ref] for ref in comprefs]),
            ]),

DBSession.execute("update source set description = title where description is null and title is not null;")
    DBSession.execute("update source set description = booktitle where description is null and booktitle is not null;")

    for row in list(DBSession.execute(
            "select pk, pages, pages_int, startpage_int from source where pages_int < 0")):
        pk, pages, number, start = row
        _start, _end, _number = compute_pages(pages)
        if _number > 0 and _number != number:
            DBSession.execute(
                "update source set pages_int = %s, startpage_int = %s where pk = %s" %
                (_number, _start, pk))
            DBSession.execute(
                "update ref set endpage_int = %s where pk = %s" %
                (_end, pk))

    jsondump(changes, args.data_dir.joinpath('references', 'changes.json'))

columns[lname] = e

    comps = {}
    for subdir, spec in COMPONENTS.items():
        table = make_table(tables.pop(spec['table']))
        for c, req in spec['columns']:
            table['tableSchema']['columns'].append(make_column(columns[c], req))
        comps[subdir] = table
        dump(
            table,
            REPO_DIR.joinpath(
                'components', subdir, '{0}-metadata.json'.format(spec['table'])),
            indent=4)

    for subdir, comprefs in MODULES.items():
        dump(
            OrderedDict([
                ("@context", ["http://www.w3.org/ns/csvw", {"@language": "en"}]),
                ("dc:conformsTo",
                 "http://cldf.clld.org/v1.0/terms.rdf#{0}".format(subdir)),
                ("dialect", {
                    "commentPrefix": None,
                }),
                ("tables", [comps[ref] for ref in comprefs]),
            ]),
            REPO_DIR.joinpath('modules', subdir, '{0}-metadata.json'.format(subdir)),
            indent=4)

for year in set(s.year for s in sources if s.year):
            # let's see if something better was published!
            eligible = [s for s in sources if s.year and s.year <= year]
            if eligible:
                potential_meds.append(sorted(eligible)[0])

        # we store the precomputed sources information as jsondata:
        ldstatus[l.id] = [
            med,
            [s.__json__() for s in
             sorted(set(potential_meds), key=lambda s: -s.year)]]
        if i and i % 1000 == 0:
            print(i)
            DBSession.close()

    dump(ldstatus, 'glottolog3/static/ldstatus.json', indent=4)