本文整理匯總了Python中courseware.user_state_client.DjangoXBlockUserStateClient.iter_all_for_block方法的典型用法代碼示例。如果您正苦於以下問題：Python DjangoXBlockUserStateClient.iter_all_for_block方法的具體用法？Python DjangoXBlockUserStateClient.iter_all_for_block怎麽用？Python DjangoXBlockUserStateClient.iter_all_for_block使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類courseware.user_state_client.DjangoXBlockUserStateClient的用法示例。
在下文中一共展示了DjangoXBlockUserStateClient.iter_all_for_block方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _build_student_data
# 需要導入模塊: from courseware.user_state_client import DjangoXBlockUserStateClient [as 別名]
# 或者: from courseware.user_state_client.DjangoXBlockUserStateClient import iter_all_for_block [as 別名]
def _build_student_data(cls, user_id, course_key, usage_key_str):
"""
Generate a list of problem responses for all problem under the
``problem_location`` root.
Arguments:
user_id (int): The user id for the user generating the report
course_key (CourseKey): The ``CourseKey`` for the course whose report
is being generated
usage_key_str (str): The generated report will include this
block and it child blocks.
Returns:
Tuple[List[Dict], List[str]]: Returns a list of dictionaries
containing the student data which will be included in the
final csv, and the features/keys to include in that CSV.
"""
usage_key = UsageKey.from_string(usage_key_str).map_into_course(course_key)
user = get_user_model().objects.get(pk=user_id)
course_blocks = get_course_blocks(user, usage_key)
student_data = []
max_count = settings.FEATURES.get('MAX_PROBLEM_RESPONSES_COUNT')
store = modulestore()
user_state_client = DjangoXBlockUserStateClient()
student_data_keys = set()
with store.bulk_operations(course_key):
for title, path, block_key in cls._build_problem_list(course_blocks, usage_key):
# Chapter and sequential blocks are filtered out since they include state
# which isn't useful for this report.
if block_key.block_type in ('sequential', 'chapter'):
continue
block = store.get_item(block_key)
generated_report_data = {}
# Blocks can implement the generate_report_data method to provide their own
# human-readable formatting for user state.
if hasattr(block, 'generate_report_data'):
try:
user_state_iterator = user_state_client.iter_all_for_block(block_key)
generated_report_data = {
username: state
for username, state in
block.generate_report_data(user_state_iterator, max_count)
}
except NotImplementedError:
pass
responses = list_problem_responses(course_key, block_key, max_count)
student_data += responses
for response in responses:
response['title'] = title
# A human-readable location for the current block
response['location'] = ' > '.join(path)
# A machine-friendly location for the current block
response['block_key'] = str(block_key)
user_data = generated_report_data.get(response['username'], {})
response.update(user_data)
student_data_keys = student_data_keys.union(user_data.keys())
if max_count is not None:
max_count -= len(responses)
if max_count <= 0:
break
# Keep the keys in a useful order, starting with username, title and location,
# then the columns returned by the xblock report generator in sorted order and
# finally end with the more machine friendly block_key and state.
student_data_keys_list = (
['username', 'title', 'location'] +
sorted(student_data_keys) +
['block_key', 'state']
)
return student_data, student_data_keys_list