def start():
"""Setup before initializing curses"""
# Handle Signals
signal.signal(signal.SIGINT, sigint_handler)
signal.signal(signal.SIGTSTP, sigtstp_handler)
signal.signal(signal.SIGHUP, sighup_handler)
# Set a short ESC key delay (curses environment variable)
os.environ.setdefault("ESCDELAY", "25")
args = parse_args()
# Check for updates
if not args.no_update and not args.install_version:
latest_version = updater.get_latest_version()
if latest_version != SharedData.VERSION:
updater.update_zygrader(latest_version)
sys.exit()
if args.install_version:
updater.install_version(args.install_version)
sys.exit()
# Setup user configuration
preferences.initialize()
versioning.versioning_update_preferences()
# Handle configuration based args after config has been initialized
handle_args(args)
# Check for shared data dir
data_dir = preferences.get("data_dir")
if not data_dir:
print("You have not set the shared data directory")
print("Please run with the flag --set-data-dir [path]")
sys.exit()
# Start application and setup data folders
if not SharedData.initialize_shared_data(data_dir):
sys.exit()
# Load data for the current class
data.get_students()
data.get_labs()
# Change directory to the default output dir
os.chdir(os.path.expanduser(preferences.get("output_dir")))
name = data.netid_to_name(getpass.getuser())
# Create a zygrader window, callback to main function
ui.Window(main, f"zygrader {SharedData.VERSION}", name, args)
logger.log("zygrader exited normally")
def update_preferences(self):
theme_key = preferences.get("theme")
new_theme = themes.THEMES[theme_key]
if new_theme is not self.theme:
new_theme.adjust_screen_colors()
self.theme = new_theme
self.unicode_mode = preferences.get("unicode_mode")
self.clear_filter = preferences.get("clear_filter")
self.update_window()
def present_queue_errors(self):
error_rows = _WorkEvent.queue_errors
if not error_rows:
return True
path_input = ui.layers.PathInputLayer("Queue Data Errors")
path_input.set_prompt([
"There were some queue data entries that caused errors.",
"Select a file to write them to so that"
" you can manually adjust the stats for them.",
"", # empty line
"If you find common errors, please open an issue on the"
" github repo, or talk to a maintainer directly.",
"" # empty line
])
default_path = os.path.join(preferences.get("output_dir"),
"bad-queue-data.csv")
path_input.set_text(default_path)
ui.get_window().run_layer(path_input)
if path_input.canceled:
return False
with open(path_input.get_path(), "w", newline="") as out_file:
writer = csv.writer(out_file)
writer.writerows(error_rows)
return True
def report_gaps():
"""Report any cells in the gradebook that do not have a score"""
window = ui.get_window()
if not _confirm_gradebook_ready():
return
# Use the Canvas parsing from the gradepuller to get the gradebook in
puller = grade_puller.GradePuller()
try:
puller.read_canvas_csv()
except grade_puller.GradePuller.StoppingException:
return
real_assignment_pattern = re.compile(r".*\([0-9]+\)")
# Create mapping from assignment names to lists of students
# with no grade for that assignment
all_gaps = dict()
for assignment in puller.canvas_header:
if real_assignment_pattern.match(assignment):
gaps = []
for student in puller.canvas_students.values():
if not student[assignment]:
gaps.append(student['Student'])
if gaps:
all_gaps[assignment] = gaps
# Abort if no gaps present
if not all_gaps:
popup = ui.layers.Popup("Full Gradebook",
["There are no gaps in the gradebook"])
window.run_layer(popup)
return
# Transpose the data for easier reading
rows = [list(all_gaps.keys())]
added = True
while added:
added = False
new_row = []
for assignment in rows[0]:
if all_gaps[assignment]:
new_row.append(all_gaps[assignment].pop(0))
added = True
else:
new_row.append("")
rows.append(new_row)
# select the output file and write to it
out_path = filename_input(purpose="the gap report",
text=os.path.join(preferences.get("output_dir"),
"gradebook_gaps.csv"))
if out_path is None:
return
with open(out_path, "w", newline="") as out_file:
writer = csv.writer(out_file)
writer.writerows(rows)
def select_output_file(self):
default_output_path = os.path.join(preferences.get("output_dir"),
"shaken-stats.csv")
path = filename_input(purpose="the shaken stats",
text=default_output_path)
if path is None:
return False
self.output_path = path
return True
def submission_search_init():
"""Get lab part and string from the user for searching"""
window = ui.get_window()
labs = data.get_labs()
menu = ui.layers.ListLayer()
menu.set_searchable("Assignment")
for lab in labs:
menu.add_row_text(str(lab))
window.run_layer(menu, "Submissions Search")
if menu.canceled:
return
assignment = labs[menu.selected_index()]
# Select the lab part if needed
if len(assignment.parts) > 1:
popup = ui.layers.ListLayer("Select Part", popup=True)
for part in assignment.parts:
popup.add_row_text(part["name"])
window.run_layer(popup, "Submissions Search")
if popup.canceled:
return
part = assignment.parts[popup.selected_index()]
else:
part = assignment.parts[0]
regex_input = ui.layers.BoolPopup("Use Regex")
regex_input.set_message(["Would you like to use regex?"])
window.run_layer(regex_input)
if regex_input.canceled:
return
use_regex = regex_input.get_result()
text_input = ui.layers.TextInputLayer("Search String")
text_input.set_prompt(["Enter a search string"])
window.run_layer(text_input, "Submissions Search")
if text_input.canceled:
return
search_string = text_input.get_text()
# Get a valid output path
filename_input = ui.layers.PathInputLayer("Output File")
filename_input.set_prompt(
["Enter the filename to save the search results"])
filename_input.set_text(preferences.get("output_dir"))
window.run_layer(filename_input, "Submissions Search")
if filename_input.canceled:
return
logger = ui.layers.LoggerLayer()
logger.set_log_fn(lambda: submission_search_fn(
logger, part, search_string, filename_input.get_path(), use_regex))
window.run_layer(logger, "Submission Search")
def main(window: ui.Window, args):
"""Curses has been initialized, now setup various modules before showing the menu"""
# Register preference update callback
preferences.add_observer(preference_update_fn)
preferences.update_observers()
# Notify the user of changes
versioning.show_versioning_message(window)
# Start file watch thread
data.fs_watch.start_fs_watch()
# Authenticate the user
zybooks_api = zybooks.Zybooks()
if not preferences.get("refresh_token") or not user.authenticate(
window, zybooks_api):
user.login(window)
logger.log("zygrader started")
mainloop(args)
def view_diff(first: model.Submission, second: model.Submission):
"""View a diff of the two submissions"""
if (first.flag & model.SubmissionFlag.NO_SUBMISSION
or second.flag & model.SubmissionFlag.NO_SUBMISSION):
window = ui.get_window()
popup = ui.layers.Popup("No Submissions", [
"Cannot diff submissions because at least one student has not submitted."
])
window.run_layer(popup)
return
use_browser = preferences.get("browser_diff")
paths_a = utils.get_source_file_paths(first.files_directory)
paths_b = utils.get_source_file_paths(second.files_directory)
paths_a.sort()
paths_b.sort()
diff = utils.make_diff_string(paths_a, paths_b, first.student.full_name,
second.student.full_name, use_browser)
utils.view_string(diff, "submissions.diff", use_browser)
def attendance_score():
"""Calculate the participation score from the attendance score columns"""
window = ui.get_window()
if not _confirm_gradebook_ready():
return
# Make use of many functions from gradepuller to avoid code duplication
puller = grade_puller.GradePuller()
try:
puller.read_canvas_csv()
popup = ui.layers.Popup("Selection")
popup.set_message(["First Select the Participation Score Assignment"])
window.run_layer(popup)
participation_score_assignment = puller.select_canvas_assignment()
popup.set_message(["Next Select the first Classes Missed Assignment"])
window.run_layer(popup)
start_classes_missed_assignment = puller.select_canvas_assignment()
popup.set_message(["Next Select the last Classes Missed Assignment"])
window.run_layer(popup)
end_classes_missed_assignment = puller.select_canvas_assignment()
class_sections = puller.select_class_sections()
except grade_puller.GradePuller.StoppingException:
return
# Get all of the assignments between the start and end
start_index = puller.canvas_header.index(start_classes_missed_assignment)
end_index = puller.canvas_header.index(end_classes_missed_assignment)
all_classes_missed_assignments = puller.canvas_header[
start_index:end_index + 1]
# Figure out the grading scheme - the mapping from classes missed to grade
builtin_schemes = [
("TR", [100, 100, 98, 95, 91, 86, 80, 73, 65, 57, 49, 46]),
("MWF", [100, 100, 99, 97, 94, 90, 85, 80, 75, 70, 65, 60, 55, 53]),
]
scheme_selector = ui.layers.ListLayer("Scheme Selector", popup=True)
for name, scheme in builtin_schemes:
scheme_selector.add_row_text(
f"{name}: {','.join(map(str,scheme))},...")
scheme_selector.add_row_text("Create New Scheme")
window.run_layer(scheme_selector)
if scheme_selector.canceled:
return
selected = scheme_selector.selected_index()
if selected < len(builtin_schemes):
points_by_classes_missed = builtin_schemes[selected][1]
else:
# Get the custom scheme
scheme_inputter = ui.layers.TextInputLayer("New Scheme")
scheme_inputter.set_prompt([
"Enter a new scheme as a comma-separated list",
"e.g. '100,100,95,90,85,80,78'",
"",
"The difference between the last two values will be repeated"
" until a score of 0 is reached",
])
window.run_layer(scheme_inputter)
if scheme_inputter.canceled:
return
scheme_text = scheme_inputter.get_text()
points_by_classes_missed = list(map(int, scheme_text.split(',')))
# Extend the scheme until 0 is reached
delta = points_by_classes_missed[-2] - points_by_classes_missed[-1]
while points_by_classes_missed[-1] >= 0:
points_by_classes_missed.append(points_by_classes_missed[-1] - delta)
# Get rid of the negative element
del points_by_classes_missed[-1]
# Calculate and assign the grade for each student
for student in puller.canvas_students.values():
if student["section_number"] in class_sections:
total_classes_missed = 0
for assignment in all_classes_missed_assignments:
try:
total_classes_missed += int(student[assignment])
except ValueError:
total_classes_missed += int(
puller.canvas_points_out_of[assignment])
try:
grade = points_by_classes_missed[total_classes_missed]
except IndexError:
grade = 0
student[participation_score_assignment] = grade
out_path = filename_input(purpose="the partipation score",
text=os.path.join(preferences.get("output_dir"),
"participation.csv"))
if out_path is None:
return
# Again use the gradepuller functionality
# We just need to programmatically set the selected assignments
puller.selected_assignments = [participation_score_assignment]
# And the involved class sections
puller.involved_class_sections = set(class_sections)
puller.write_upload_file(out_path, restrict_sections=True)
def midterm_mercy():
"""Replace the lower of the two midterm scores with the final exam score"""
window = ui.get_window()
if not _confirm_gradebook_ready():
return
# Use the Canvas parsing from the gradepuller to get the gradebook in
# also use the selection of canvas assignments from the gradepuller
puller = grade_puller.GradePuller()
try:
puller.read_canvas_csv()
popup = ui.layers.Popup("Selection")
popup.set_message(["First Select the Midterm 1 Assignment"])
window.run_layer(popup)
midterm_1_assignment = puller.select_canvas_assignment()
midterm_2_assignment = None
double_midterm_popup = ui.layers.BoolPopup("2 Midterms")
double_midterm_popup.set_message([
"Is there a second midterm this semester?",
"If so, select that assignment next."
])
window.run_layer(double_midterm_popup)
if double_midterm_popup.canceled:
return
if double_midterm_popup.get_result():
midterm_2_assignment = puller.select_canvas_assignment()
popup.set_message(["Next Select the Final Exam Assignment"])
window.run_layer(popup)
final_exam_assignment = puller.select_canvas_assignment()
except grade_puller.GradePuller.StoppingException:
return
# Do the replacement for each student
for student in puller.canvas_students.values():
midterm_1_score = float(student[midterm_1_assignment])
midterm_2_score = (float(student[midterm_2_assignment])
if midterm_2_assignment else None)
final_exam_score = float(student[final_exam_assignment])
if midterm_2_assignment:
# Figure out lower midterm, then if it should be replaced do so
if midterm_2_score < midterm_1_score:
if final_exam_score > midterm_2_score:
student[midterm_2_assignment] = final_exam_score
else:
if final_exam_score > midterm_1_score:
student[midterm_1_assignment] = final_exam_score
else:
# With only one midterm, just replace it if lower than final
if final_exam_score > midterm_1_score:
student[midterm_1_assignment] = final_exam_score
out_path = filename_input(purpose="the updated midterm scores",
text=os.path.join(preferences.get("output_dir"),
"midterm_mercy.csv"))
if out_path is None:
return
# Again use the gradepuller functionality
# We just need to programmatically set the selected assignments
puller.selected_assignments = [midterm_1_assignment]
if midterm_2_assignment:
puller.selected_assignments.append(midterm_2_assignment)
puller.write_upload_file(out_path)
popup = ui.layers.Popup("Reminder")
popup.set_message([
"Don't forget to manually correct as necessary"
" (for any students who should not have a score replaced)."
])
window.run_layer(popup)
def update_preferences(self):
"""Update the input settings from user preferences"""
self.vim_mode = preferences.get("vim_mode")
self.left_right_menu_nav = preferences.get("left_right_arrow_nav")
self.use_esc_back = preferences.get("use_esc_back")
def __load_session(self):
Zybooks.refresh_token = preferences.get("refresh_token")
