def main():
client = gciclient.GCIAPIClient(auth_token=FLAGS.apikey,
url_prefix=FLAGS.url,
debug=FLAGS.debug)
for filename in FLAGS.files:
upload(client, filename)
def main():
print("GCI Quotient: noun | gē-sē-ī kwō-shənt")
print(" \"the magnitude of a specified characteristic or quality\"")
client = gciclient.GCIAPIClient(auth_token=FLAGS.apikey,
url_prefix=FLAGS.url)
value = ''
with open('sacsid_cookie.txt', 'r') as cookie_file:
for line in cookie_file:
value = line
break
cookie_file.close()
value = value.replace('\n', '')
cookies = {'SACSID': value}
try:
os.mkdir(FLAGS.datadir)
except OSError as e:
if e.errno != errno.EEXIST:
raise
if os.path.isdir(FLAGS.datadir):
print('...saving GCI data to [%s]' % FLAGS.datadir)
save_tasks(FLAGS.datadir, client, cookies)
save_instances(FLAGS.datadir, client, cookies)
def main():
print("GCI Product: noun | gē-sē-ī prŏd-əkt")
print(" \"the triviality of a specified characteristic or quality\"")
client = gciclient.GCIAPIClient(auth_token=FLAGS.apikey,
url_prefix=FLAGS.url)
if not os.path.isdir(FLAGS.datadir):
print('...data directory does not exist! [%s]' % FLAGS.datadir)
exit(1)
else:
print('...reading GCI task data from [%s]' % FLAGS.datadir)
make_tasks(FLAGS.datadir, client)
def main():
client = gciclient.GCIAPIClient(auth_token=FLAGS.apikey,
url_prefix=FLAGS.url,
debug=FLAGS.debug)
next_page = 1
while next_page > 0:
tasks = client.ListTasks(page=next_page)
for t in tasks['results']:
print '\t'.join([str(t['id']), t['name'].encode('utf-8')])
next_page = 0
if tasks['next']:
result = re.search(r'page=(\d+)', tasks['next'])
if result:
next_page = result.group(1)
def main():
client = gciclient.GCIAPIClient(auth_token=FLAGS.apikey,
url_prefix=FLAGS.url,
debug=FLAGS.debug)
next_page = 1
while next_page > 0:
instances = client.ListTaskInstances(page=next_page)
for ti in instances['results']:
print '\t'.join([
str(ti['id']), # yapf: disable
ti['status'].encode('utf-8'),
ti['student_display_name'].encode('utf-8'),
ti['task_definition_name'].encode('utf-8')
])
next_page = 0
if instances['next']:
result = re.search(r'page=(\d+)', instances['next'])
if result:
next_page = result.group(1)