def test_shell_invoke(self):
r = invoke_script(settings.PREPARE_SCRIPT, {})
self.assertEqual(1, r["code"])
r = invoke_script(settings.PREPARE_SCRIPT, {
"course_key": "foo",
"dir": settings.SUBMISSION_PATH
})
self.assertEqual(0, r["code"])
def expaca(course, exercise, action, submission_dir):
'''
Executes third party expaca testing application.
'''
r = invoke_script(settings.EXPACA_SCRIPT,
_collect_args(("rule_file", "model_dir", "user_dir"), action),
submission_dir)
# Expaca should always return 0.
if r["code"] != 0:
raise ConfigError("Expaca return code not zero!\nMore information: %s"
% (str(r)))
out = r["out"]
points = 0
max_points = 0
# Find points in the XML.
b = out.find("<TotalPoints>")
if b >= 0:
e = out.find("</TotalPoints>", b + 13)
points = int(out[b + 13 : e])
b = out.find("<TotalMaxpoints>")
if b >= 0:
e = out.find("</TotalMaxpoints>", b + 16)
max_points = int(out[b + 16 : e])
# Transform the feedback if configured.
if "xslt_transform" in action:
out = transform(out, "%s/%s" % (settings.BASE_DIR,
action["xslt_transform"]))
return { "points": points, "max_points": max_points, "out": out,
"err": r["err"], "stop": False }
def prepare(course, exercise, action, submission_dir, user_ids='', submission_number=1):
'''
Runs the preparation script for the submitted files.
@type user_ids: C{str}
@param user_ids: user ID(s) of the submitter(s) as string (format "1", "1-2-3")
@type submission_number: C{int}
@param submission_number: ordinal number of the submission
'''
args = {
"course_key": course["key"],
"exercise_key": exercise["key"],
}
cp_personal_error = None
if "personalized" in exercise and exercise["personalized"]:
args["userid"] = user_ids
args["gen_instance_path"] = select_generated_exercise_instance(course, exercise, user_ids, submission_number)
if not settings.ENABLE_PERSONAL_DIRECTORIES and "cp_personal" in action:
cp_personal_error = 'settings.ENABLE_PERSONAL_DIRECTORIES is False but action grader.actions.prepare has "cp_personal" field'
LOGGER.error(cp_personal_error)
result = _boolean(invoke_script(settings.PREPARE_SCRIPT,
_collect_args(("attachment_pull", "attachment_unzip", "unzip",
"charset", "cp_exercises", "cp", "mv", "cp_personal", "cp_generated"),
action, args),
submission_dir))
if cp_personal_error:
# add the error to the feedback too
result["err"] += "\n" + cp_personal_error
return result
def prepare(course, exercise, action, submission_dir):
'''
Runs the preparation script for the submitted files.
'''
return _boolean(invoke_script(settings.PREPARE_SCRIPT,
_collect_args(("attachment_pull", "attachment_unzip", "unzip",
"charset", "cp_exercises", "cp", "mv"), action,
{ "course_key": course["key"] }),
submission_dir))
def gitclone(course, exercise, action, submission_dir):
'''
Runs a git clone script.
'''
return _appendix(
_boolean(
invoke_script(settings.GITCLONE_SCRIPT,
_collect_args(("repo_dir", "read", "files"), action),
submission_dir)))
def store_user_files(course, exercise, action, submission_dir, user_ids, submission_number=1):
'''
Stores files from the submission directory to the personal directory of the user(s).
'''
if not (settings.ENABLE_PERSONAL_DIRECTORIES and \
"personalized" in exercise and exercise["personalized"]):
msg = 'Action "grader.actions.store_user_files" can only be used in personalized exercises. ' \
'Check project settings.ENABLE_PERSONAL_DIRECTORIES value and exercise-specific personalization configuration.'
LOGGER.error(msg)
raise ConfigError(msg)
args = {
"target": user_personal_directory_path(course, exercise, user_ids),
}
return _boolean(invoke_script(settings.STORE_USER_FILES_SCRIPT,
_collect_args(("cp",),
action, args),
submission_dir))
def store_user_files(course,
exercise,
action,
submission_dir,
user_ids,
submission_number=1):
'''
Stores files from the submission directory to the personal directory of the user(s).
'''
if not (settings.ENABLE_PERSONAL_DIRECTORIES and \
"personalized" in exercise and exercise["personalized"]):
msg = 'Action "grader.actions.store_user_files" can only be used in personalized exercises. ' \
'Check project settings.ENABLE_PERSONAL_DIRECTORIES value and exercise-specific personalization configuration.'
LOGGER.error(msg)
raise ConfigError(msg)
args = {
"target": user_personal_directory_path(course, exercise, user_ids),
}
return _boolean(
invoke_script(settings.STORE_USER_FILES_SCRIPT,
_collect_args(("cp", ), action, args), submission_dir))
def expaca(course, exercise, action, submission_dir):
'''
Executes third party expaca testing application.
'''
r = invoke_script(
settings.EXPACA_SCRIPT,
_collect_args(("rule_file", "model_dir", "user_dir"), action),
submission_dir)
# Expaca should always return 0.
if r["code"] != 0:
raise ConfigError(
"Expaca return code not zero!\nMore information: %s" % (str(r)))
out = r["out"]
points = 0
max_points = 0
# Find points in the XML.
b = out.find("<TotalPoints>")
if b >= 0:
e = out.find("</TotalPoints>", b + 13)
points = int(out[b + 13:e])
b = out.find("<TotalMaxpoints>")
if b >= 0:
e = out.find("</TotalMaxpoints>", b + 16)
max_points = int(out[b + 16:e])
# Transform the feedback if configured.
if "xslt_transform" in action:
out = transform(
out, "%s/%s" % (settings.BASE_DIR, action["xslt_transform"]))
return {
"points": points,
"max_points": max_points,
"out": out,
"err": r["err"],
"stop": False
}
def prepare(course,
exercise,
action,
submission_dir,
user_ids='',
submission_number=1):
'''
Runs the preparation script for the submitted files.
@type user_ids: C{str}
@param user_ids: user ID(s) of the submitter(s) as string (format "1", "1-2-3")
@type submission_number: C{int}
@param submission_number: ordinal number of the submission
'''
args = {
"course_key": course["key"],
"exercise_key": exercise["key"],
}
cp_personal_error = None
if "personalized" in exercise and exercise["personalized"]:
args["userid"] = user_ids
args["gen_instance_path"] = select_generated_exercise_instance(
course, exercise, user_ids, submission_number)
if not settings.ENABLE_PERSONAL_DIRECTORIES and "cp_personal" in action:
cp_personal_error = 'settings.ENABLE_PERSONAL_DIRECTORIES is False but action grader.actions.prepare has "cp_personal" field'
LOGGER.error(cp_personal_error)
result = _boolean(
invoke_script(
settings.PREPARE_SCRIPT,
_collect_args(
("attachment_pull", "attachment_unzip", "unzip", "charset",
"cp_exercises", "cp", "mv", "cp_personal", "cp_generated"),
action, args), submission_dir))
if cp_personal_error:
# add the error to the feedback too
result["err"] += "\n" + cp_personal_error
return result
def gitclone(course, exercise, action, submission_dir):
'''
Runs a git clone script.
'''
return _appendix(_boolean(invoke_script(settings.GITCLONE_SCRIPT,
_collect_args(("repo_dir", "read", "files"), action), submission_dir)))
def test_shell_invoke(self):
r = invoke_script(settings.PREPARE_SCRIPT, {})
self.assertEqual(1, r["code"])
r = invoke_script(settings.PREPARE_SCRIPT, { "course_key": "foo", "dir": settings.SUBMISSION_PATH })
self.assertEqual(0, r["code"])
