def assignment_submission_dict() -> Dict[Tuple[str, str], DataFrame]:
# arrange
submission: Dict[str, str] = {
"state": CREATED_STATE,
}
submissions_df = DataFrame.from_dict(
[
merged_dict(submission, BOILERPLATE),
]
)
# act
return submissions_to_assignment_submissions_dfs(submissions_df)
def _get_assignment_submissions(
classroom_resource: Resource,
sync_db: sqlalchemy.engine.base.Engine,
output_directory: str,
):
logger.info("Writing LMS UDM AssignmentSubmissions to CSV files")
course_ids: List[str] = result_bucket["course_ids"]
submissions_df = request_all_submissions_as_df(
classroom_resource, course_ids, sync_db
)
result_bucket["submissions_df"] = submissions_df
write_assignment_submissions(
submissions_to_assignment_submissions_dfs(submissions_df),
now,
output_directory,
)
def assignment_submissions_dicts() -> Dict[Tuple[str, str], DataFrame]:
# arrange
submission1: Dict[str, str] = {
"id": ID,
"courseId": COURSE_ID,
"courseWorkId": COURSEWORK_ID,
}
submission2: Dict[str, str] = {
"id": submission2_id,
"courseId": COURSE_ID,
"courseWorkId": coursework2_id,
}
submissions_df = DataFrame.from_dict([
merged_dict(submission1, BOILERPLATE),
merged_dict(submission2, BOILERPLATE),
])
# act
return submissions_to_assignment_submissions_dfs(submissions_df)
def assignment_submissions_dicts() -> Dict[Tuple[str, str], DataFrame]:
# arrange
submissions_df = DataFrame({
"courseId": [COURSE_ID],
"courseWorkId": [COURSEWORK_ID],
"id": [ID],
"userId": [USER_ID],
"creationTime": [CREATION_TIME],
"updateTime": [UPDATE_TIME],
"state": [STATE],
"late": [LATE],
"draftGrade": [DRAFT_GRADE],
"assignedGrade": [ASSIGNED_GRADE],
"alternateLink": [ALTERNATE_LINK],
"associatedWithDeveloper": [ASSOCIATED_WITH_DEVELOPER],
"submissionHistory": [SUBMISSION_HISTORY],
"CreateDate": [CREATE_DATE],
"LastModifiedDate": [LAST_MODIFIED_DATE],
})
# act
return submissions_to_assignment_submissions_dfs(submissions_df)
