How to use the richie.apps.search.ES_CLIENT.put_script function in richie

# Index these 4 courses in Elasticsearch
        indices_client = IndicesClient(client=ES_CLIENT)
        # Delete any existing indices so we get a clean slate
        indices_client.delete(index="_all")
        # Create an index we'll use to test the ES features
        indices_client.create(index="test_courses")
        indices_client.close(index="test_courses")
        indices_client.put_settings(body=ANALYSIS_SETTINGS, index="test_courses")
        indices_client.open(index="test_courses")

        # Use the default courses mapping from the Indexer
        indices_client.put_mapping(
            body=CoursesIndexer.mapping, doc_type="course", index="test_courses"
        )
        # Add the sorting script
        ES_CLIENT.put_script(id="state", body=CoursesIndexer.scripts["state"])
        # Actually insert our courses in the index
        actions = [
            {
                "_id": course["id"],
                "_index": "test_courses",
                "_op_type": "create",
                "_type": "course",
                **course,
            }
            for course in courses
        ]
        bulk(actions=actions, chunk_size=500, client=ES_CLIENT)
        indices_client.refresh()

# Delete any existing indices so we get a clean slate
        indices_client.delete(index="_all")
        # Create an index we'll use to test the ES features
        indices_client.create(index=COURSES_INDEX)

        # The index needs to be closed before we set an analyzer
        indices_client.close(index=COURSES_INDEX)
        indices_client.put_settings(body=ANALYSIS_SETTINGS, index=COURSES_INDEX)
        indices_client.open(index=COURSES_INDEX)

        # Use the default courses mapping from the Indexer
        indices_client.put_mapping(
            body=CoursesIndexer.mapping, doc_type="course", index=COURSES_INDEX
        )
        # Add the sorting script
        ES_CLIENT.put_script(id="state", body=CoursesIndexer.scripts["state"])
        # Actually insert our courses in the index
        actions = [
            {
                "_id": course["id"],
                "_index": COURSES_INDEX,
                "_op_type": "create",
                "_type": "course",
                "absolute_url": {"en": "en/url", "fr": "fr/url"},
                "categories": ["1", "2", "3"],
                "cover_image": {"en": "en/image", "fr": "fr/image"},
                "is_meta": False,
                "logo": {"en": "/en/some/img.png", "fr": "/fr/some/img.png"},
                "nb_children": 0,
                "organizations": ["11", "12", "13"],
                **course,
            }

# Index these 4 courses in Elasticsearch
        indices_client = IndicesClient(client=ES_CLIENT)
        # Delete any existing indices so we get a clean slate
        indices_client.delete(index="_all")
        # Create an index we'll use to test the ES features
        indices_client.create(index="test_courses")
        indices_client.close(index="test_courses")
        indices_client.put_settings(body=ANALYSIS_SETTINGS, index="test_courses")
        indices_client.open(index="test_courses")

        # Use the default courses mapping from the Indexer
        indices_client.put_mapping(
            body=CoursesIndexer.mapping, doc_type="course", index="test_courses"
        )
        # Add the sorting script
        ES_CLIENT.put_script(id="state", body=CoursesIndexer.scripts["state"])
        # Actually insert our courses in the index
        now = arrow.utcnow()
        actions = [
            {
                "_id": course_id,
                "_index": "test_courses",
                "_op_type": "create",
                "_type": "course",
                # The sorting algorithm assumes that course runs are sorted by decreasing
                # end date in order to limit the number of iterations and courses with a
                # lot of archived courses.
                "absolute_url": {"en": "url"},
                "cover_image": {"en": "cover_image.jpg"},
                "duration": {"en": "N/A"},
                "effort": {"en": "N/A"},
                "icon": {"en": "icon.jpg"},