本文整理汇总了Python中compair.learning_records.resource_iri.ResourceIRI.answer_comment方法的典型用法代码示例。如果您正苦于以下问题：Python ResourceIRI.answer_comment方法的具体用法？Python ResourceIRI.answer_comment怎么用？Python ResourceIRI.answer_comment使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类compair.learning_records.resource_iri.ResourceIRI的用法示例。
在下文中一共展示了ResourceIRI.answer_comment方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: answer_comment
# 需要导入模块: from compair.learning_records.resource_iri import ResourceIRI [as 别名]
# 或者: from compair.learning_records.resource_iri.ResourceIRI import answer_comment [as 别名]
def answer_comment(cls, answer_comment):
activity = Activity(
id=ResourceIRI.answer_comment(answer_comment.course_uuid, answer_comment.assignment_uuid,
answer_comment.answer_uuid, answer_comment.uuid),
definition=ActivityDefinition(
type=XAPIActivity.activity_types.get('comment'),
name=LanguageMap({ 'en-US': "Assignment answer comment" }),
extensions=Extensions()
)
)
activity.definition.extensions['http://id.tincanapi.com/extension/type'] = answer_comment.comment_type.value
activity.definition.extensions['http://id.tincanapi.com/extension/isDraft'] = answer_comment.draft
return activity示例2: answer_comment
# 需要导入模块: from compair.learning_records.resource_iri import ResourceIRI [as 别名]
# 或者: from compair.learning_records.resource_iri.ResourceIRI import answer_comment [as 别名]
def answer_comment(cls, answer_comment):
#TODO: this isn't in the Caliper spec yet
return {
"id": ResourceIRI.answer_comment(answer_comment.course_uuid, answer_comment.assignment_uuid,
answer_comment.answer_uuid, answer_comment.uuid),
"type": "Comment",
"commenter": CaliperActor.generate_actor(answer_comment.user),
"commented": CaliperEntities.answer(answer_comment.answer),
"value": LearningRecord.trim_text_to_size_limit(answer_comment.content),
"dateCreated": answer_comment.created.replace(tzinfo=pytz.utc).isoformat(),
"dateModified": answer_comment.modified.replace(tzinfo=pytz.utc).isoformat(),
"extensions": {
"type": answer_comment.comment_type.value,
"isDraft": answer_comment.draft,
"characterCount": LearningRecord.character_count(answer_comment.content) if answer_comment.content else 0,
"wordCount": LearningRecord.word_count(answer_comment.content) if answer_comment.content else 0
}
}