def get_utorid_to_group(api: markusapi.Markus,
assignment_id: int) -> Dict[str, dict]:
"""Return a mapping from utroid to MarkUs group record."""
return {
group['group_name']: group
for group in api.get_groups(assignment_id)
}
def upload_result_files(api: markusapi.Markus, assignment_id: int,
local_dir: str, result_file_name: str):
"""Upload local_dir/utorid/result_file_name into each student repo on
MarkUs.
"""
groups = api.get_groups(assignment_id)
for group in groups:
group_id, utorid = group['id'], group['group_name']
upload_result_file(api, assignment_id, local_dir, result_file_name,
utorid, group_id)
def upload_grades(api: markusapi.Markus,
assignment_id: int,
gf_file: TextIO,
criteria: Dict[str, Tuple[str, float]],
complete=True):
"""Upload grades.
criteria maps test-name-in-gf-file to (criteria-name, out-of) on MarkUs.
criteria on MarkUs needs to be set up beforehand. Can't find a way
to upload it with API... TODO.
if complete, set MarkUs submission status to "complete"
"""
gbook = gb.GradeBook.load_gf_file(gf_file, 'utorid', True)
groups = api.get_groups(assignment_id)
for group in groups:
group_id, utorid = group['id'], group['group_name']
upload_grade(api, assignment_id, criteria, utorid, gbook, None,
group_id, complete)
def get_submissions(api: markusapi.Markus, assignment_id: int,
markus_files: List[str], local_dir: str,
local_files: List[str]):
"""Download all submissions for assignment_id and store them locally.
If markus_files is None, then download a zip file of entire
submission. The name of the local zip file must be specified in
local_files[0].
markus_files: names/paths of the files on MarkUs, for each
student, to download.
local_dir, local_files: write files locally in local_dir/utorid/local_file,
for each student (utorid).
"""
groups = api.get_groups(assignment_id)
for group in groups:
group_id, utorid = group['id'], group['group_name']
get_submission(api, assignment_id, markus_files, local_dir,
local_files, utorid, group_id)
in the assignment's marking scheme (punctuation included).
Marks need to be valid numerics, or 'nil'.
If the criterion is a Rubric, the mark just needs to be the
rubric level, and will be multiplied by the weight automatically.
"""
d = {'My Criterion 1.': 1.0, 'My Criterion 2.': 'nil'}
return d
""" --------Ideally, nothing below need be touched-------- """
if __name__ == '__main__':
# Initialize an instance of the API class
api = Markus(API_KEY, ROOT_URL)
print('Initialized Markus object successfully.')
groups = api.get_groups(ASSIGNMENT_ID)
for group in groups:
group_name = group['group_name']
group_id = group['id']
try:
with open(os.path.join(ROOT_DIR, group_name,
FILE_NAME)) as open_file:
file_contents = open_file.read()
# Upload the feedback file
try:
response = api.upload_feedback_file(
ASSIGNMENT_ID, group_id, FILE_NAME, file_contents)
print(
'Uploaded feedback file for {}, Markus responded: {}'.
format(group_name, response))
Criteria titles need to be properly formatted, as they appear
in the assignment's rubric (punctuation included).
Marks need to be valid numerics, or 'nil'.
"""
d = {}
d['My Criteria 1.'] = 1.0
d['My Criteria 2.'] = 'nil'
return d
""" --------Ideally, nothing below need be touched-------- """
# Initialize an instance of the API class
api = Markus(API_KEY, ROOT_URL)
print('Initialized Markus object successfully.')
group_names = api.get_groups(ASSIGNMENT_ID).keys()
# Upload the test results.
for group in group_names:
with open(ROOT_DIR + '/' + group + '/' + FILE_NAME) as open_file:
try:
file_contents = open_file.read()
api.upload_test_results(ASSIGNMENT_ID, group, FILE_NAME,
file_contents)
except:
print('Error: uploading results for {} failed.'.format(locals()))
print('Done uploading results.')
# All test results files are now uploaded.
# We now want to extract marks from each file.
for group in group_names:
Criteria titles need to be properly formatted, as they appear
in the assignment's marking scheme (punctuation included).
Marks need to be valid numerics, or 'nil'.
If the criterion is a Rubric, the mark just needs to be the
rubric level, and will be multiplied by the weight automatically.
"""
d = {'My Criterion 1.': 1.0, 'My Criterion 2.': 'nil'}
return d
""" --------Ideally, nothing below need be touched-------- """
# Initialize an instance of the API class
api = Markus(API_KEY, ROOT_URL)
print('Initialized Markus object successfully.')
groups = api.get_groups(ASSIGNMENT_ID)
for group in groups:
group_name = group['group_name']
group_id = group['id']
try:
with open(ROOT_DIR + '/' + group_name + '/' + FILE_NAME) as open_file:
file_contents = open_file.read()
# Upload the feedback file
try:
response = api.upload_feedback_file(ASSIGNMENT_ID, group_id, FILE_NAME, file_contents)
print('Uploaded feedback file for {}, Markus responded: {}'.format(group_name, response))
except:
print('Error: uploading feedback file for {} failed'.format(group_name))
# Extract and upload marks from the feedback file
try:
Criteria titles need to be properly formatted, as they appear
in the assignment's rubric (punctuation included).
Marks need to be valid numerics, or 'nil'.
"""
d = {}
d['My Criteria 1.'] = 1.0
d['My Criteria 2.'] = 'nil'
return d
""" --------Ideally, nothing below need be touched-------- """
# Initialize an instance of the API class
api = Markus(API_KEY, ROOT_URL)
print('Initialized Markus object successfully.')
group_names = api.get_groups(ASSIGNMENT_ID).keys()
# Upload the test results.
for group in group_names:
with open(ROOT_DIR + '/' + group + '/' + FILE_NAME) as open_file:
try:
file_contents = open_file.read()
api.upload_test_results(ASSIGNMENT_ID, group,
FILE_NAME, file_contents)
except:
print('Error: uploading results for {} failed.'.format(locals()))
print('Done uploading results.')
# All test results files are now uploaded.
# We now want to extract marks from each file.
for group in group_names:
