def three_times():
"""Get course metadata three times."""
for _ in range(0, 3):
get_course_metadata(self.course.id)
def resource_to_dict(resource, term_info):
"""
Retrieve important values from a LearningResource to index.
This dict corresponds to the mapping created in Elasticsearch.
The titlesort bits, with the "0" and "1" prefixes, were copied from
the prepare_titlesort function in search/search_indexes.py. It was there
to make blank titles sort to the bottom instead of the top.
Args:
resource (LearningResource): Item to convert to dict.
term_info (dict): Vocabulary terms assigned to resource.
Returns:
rec (dict): Dictionary representation of the LearningResource.
"""
rec = {
"title": resource.title,
# The zero is for sorting blank items to the bottom. See below.
"titlesort": "0{0}".format(resource.title.strip()),
"id": resource.id,
"_id": resource.id, # The ID used by Elasticsearch.
"resource_type": resource.learning_resource_type.name,
"description": resource.description,
"description_path": resource.description_path,
"content_xml": resource.content_xml,
"content_stripped": strip_xml(resource.content_xml),
"xa_nr_views": resource.xa_nr_views,
"xa_nr_attempts": resource.xa_nr_attempts,
"xa_avg_grade": resource.xa_avg_grade,
"xa_histogram_grade": resource.xa_histogram_grade,
}
course = get_course_metadata(resource.course_id)
rec["preview_url"] = get_preview_url(
resource,
org=course["org"],
course_number=course["course_number"],
run=course["run"],
)
rec["run"] = course["run"]
rec["course"] = course["course_number"]
rec["repository"] = course["repo_slug"]
# Index term info. Since these fields all use the "not_analyzed"
# index, they must all be exact matches.
for vocab_id, term_ids in term_info.items():
rec[make_vocab_key(vocab_id)] = term_ids
# If the title is empty, sort it to the bottom. See above.
if rec["titlesort"] == "0":
rec["titlesort"] = "1"
# Keys that may have unicode issues.
text_keys = (
'title',
'titlesort',
'resource_type',
'description',
'content_xml',
'content_stripped',
'description_path',
)
for key in text_keys:
try:
# Thanks to unicode_literals above, this works in
# Python 2 and Python 3. Avoid trying to decode a string
# if it's already unicode.
if not isinstance(rec[key], type("")):
rec[key] = rec[key].decode('utf-8')
except AttributeError:
pass # Python 3
return rec
def resource_to_dict(resource, term_info):
"""
Retrieve important values from a LearningResource to index.
This dict corresponds to the mapping created in Elasticsearch.
The titlesort bits, with the "0" and "1" prefixes, were copied from
the prepare_titlesort function in search/search_indexes.py. It was there
to make blank titles sort to the bottom instead of the top.
Args:
resource (LearningResource): Item to convert to dict.
term_info (dict): Vocabulary terms assigned to resource.
Returns:
rec (dict): Dictionary representation of the LearningResource.
"""
rec = {
"title": resource.title,
# The zero is for sorting blank items to the bottom. See below.
"titlesort": "0{0}".format(resource.title.strip()),
"id": resource.id,
"_id": resource.id, # The ID used by Elasticsearch.
"resource_type": resource.learning_resource_type.name,
"description": resource.description,
"description_path": resource.description_path,
"content_xml": resource.content_xml,
"content_stripped": strip_xml(resource.content_xml),
"xa_nr_views": resource.xa_nr_views,
"xa_nr_attempts": resource.xa_nr_attempts,
"xa_avg_grade": resource.xa_avg_grade,
"xa_histogram_grade": resource.xa_histogram_grade,
}
course = get_course_metadata(resource.course_id)
rec["preview_url"] = get_preview_url(
resource,
org=course["org"],
course_number=course["course_number"],
run=course["run"],
)
rec["run"] = course["run"]
rec["course"] = course["course_number"]
rec["repository"] = course["repo_slug"]
# Index term info. Since these fields all use the "not_analyzed"
# index, they must all be exact matches.
for vocab_id, term_ids in term_info.items():
rec[make_vocab_key(vocab_id)] = term_ids
# If the title is empty, sort it to the bottom. See above.
if rec["titlesort"] == "0":
rec["titlesort"] = "1"
# Keys that may have unicode issues.
text_keys = (
'title', 'titlesort', 'resource_type', 'description', 'content_xml',
'content_stripped', 'description_path',
)
for key in text_keys:
try:
# Thanks to unicode_literals above, this works in
# Python 2 and Python 3. Avoid trying to decode a string
# if it's already unicode.
if not isinstance(rec[key], type("")):
rec[key] = rec[key].decode('utf-8')
except AttributeError:
pass # Python 3
return rec
