def create_user_goal():
user_data = models.UserData.current()
if not user_data:
return api_invalid_param_response("User is not logged in.")
user_override = request.request_user_data("email")
if user_data.developer and user_override and user_override.key_email != user_data.key_email:
user_data = user_override
json = request.json
title = json.get('title')
if not title:
return api_invalid_param_response('Title is invalid.')
objective_descriptors = []
goal_exercises = GoalList.exercises_in_current_goals(user_data)
goal_videos = GoalList.videos_in_current_goals(user_data)
if json:
for obj in json['objectives']:
if obj['type'] == 'GoalObjectiveAnyExerciseProficiency':
objective_descriptors.append(obj)
if obj['type'] == 'GoalObjectiveAnyVideo':
objective_descriptors.append(obj)
if obj['type'] == 'GoalObjectiveExerciseProficiency':
obj['exercise'] = models.Exercise.get_by_name(obj['internal_id'])
if not obj['exercise'] or not obj['exercise'].is_visible_to_current_user():
return api_invalid_param_response("Internal error: Could not find exercise.")
if user_data.is_proficient_at(obj['exercise'].name):
return api_invalid_param_response("Exercise has already been completed.")
if obj['exercise'].name in goal_exercises:
return api_invalid_param_response("Exercise is already an objective in a current goal.")
objective_descriptors.append(obj)
if obj['type'] == 'GoalObjectiveWatchVideo':
obj['video'] = models.Video.get_for_readable_id(obj['internal_id'])
if not obj['video']:
return api_invalid_param_response("Internal error: Could not find video.")
user_video = models.UserVideo.get_for_video_and_user_data(obj['video'], user_data)
if user_video and user_video.completed:
return api_invalid_param_response("Video has already been watched.")
if obj['video'].readable_id in goal_videos:
return api_invalid_param_response("Video is already an objective in a current goal.")
objective_descriptors.append(obj)
if objective_descriptors:
objectives = GoalObjective.from_descriptors(objective_descriptors,
user_data)
goal = Goal(parent=user_data, title=title, objectives=objectives)
user_data.save_goal(goal)
return goal.get_visible_data(None)
else:
return api_invalid_param_response("No objectives specified.")
def exercise_graph_dict_json(user_data, user_exercise_graph, admin=False):
graph_dicts = user_exercise_graph.graph_dicts()
if admin:
suggested_graph_dicts = []
proficient_graph_dicts = []
recent_graph_dicts = []
review_graph_dicts = []
else:
suggested_graph_dicts = user_exercise_graph.suggested_graph_dicts()
proficient_graph_dicts = user_exercise_graph.proficient_graph_dicts()
recent_graph_dicts = user_exercise_graph.recent_graph_dicts()
review_graph_dicts = user_exercise_graph.review_graph_dicts()
for graph_dict in suggested_graph_dicts:
graph_dict["status"] = "Suggested"
for graph_dict in proficient_graph_dicts:
graph_dict["status"] = "Proficient"
for graph_dict in recent_graph_dicts:
graph_dict["recent"] = True
for graph_dict in review_graph_dicts:
graph_dict["status"] = "Review"
try:
suggested_graph_dicts.remove(graph_dict)
except ValueError:
pass
goal_exercises = GoalList.exercises_in_current_goals(user_data)
graph_dict_data = []
for graph_dict in graph_dicts:
row = {
'name': graph_dict["name"],
'points': graph_dict.get("points", ''),
'display_name': graph_dict["display_name"],
'status': graph_dict.get("status"),
'recent': graph_dict.get("recent", False),
'progress': graph_dict["progress"],
'progress_display': exercise_models.UserExercise.to_progress_display(graph_dict["progress"]),
'longest_streak': graph_dict["longest_streak"],
'h_position': graph_dict["h_position"],
'v_position': graph_dict["v_position"],
'goal_req': (graph_dict["name"] in goal_exercises),
'states': user_exercise_graph.states(graph_dict["name"]),
# get_by_name returns only exercises visible to current user
'prereqs': [prereq["name"] for prereq in graph_dict["prerequisites"] if exercise_models.Exercise.get_by_name(prereq["name"])],
}
if admin:
exercise = exercise_models.Exercise.get_by_name(graph_dict["name"])
row["live"] = exercise and exercise.live
graph_dict_data.append(row)
return json.dumps(graph_dict_data)
def exercise_graph_dict_json(user_data, admin=False):
user_exercise_graph = exercise_models.UserExerciseGraph.get(user_data)
if user_data.reassess_from_graph(user_exercise_graph):
user_data.put()
graph_dicts = user_exercise_graph.graph_dicts()
if admin:
suggested_graph_dicts = []
proficient_graph_dicts = []
recent_graph_dicts = []
review_graph_dicts = []
else:
suggested_graph_dicts = user_exercise_graph.suggested_graph_dicts()
proficient_graph_dicts = user_exercise_graph.proficient_graph_dicts()
recent_graph_dicts = user_exercise_graph.recent_graph_dicts()
review_graph_dicts = user_exercise_graph.review_graph_dicts()
for graph_dict in suggested_graph_dicts:
graph_dict["status"] = "Suggested"
for graph_dict in proficient_graph_dicts:
graph_dict["status"] = "Proficient"
for graph_dict in recent_graph_dicts:
graph_dict["recent"] = True
for graph_dict in review_graph_dicts:
graph_dict["status"] = "Review"
try:
suggested_graph_dicts.remove(graph_dict)
except ValueError:
pass
goal_exercises = GoalList.exercises_in_current_goals(user_data)
graph_dict_data = []
for graph_dict in graph_dicts:
row = {
'name':
graph_dict["name"],
'points':
graph_dict.get("points", ''),
'display_name':
graph_dict["display_name"],
'status':
graph_dict.get("status"),
'recent':
graph_dict.get("recent", False),
'progress':
graph_dict["progress"],
'progress_display':
exercise_models.UserExercise.to_progress_display(
graph_dict["progress"]),
'longest_streak':
graph_dict["longest_streak"],
'h_position':
graph_dict["h_position"],
'v_position':
graph_dict["v_position"],
'goal_req': (graph_dict["name"] in goal_exercises),
'states':
user_exercise_graph.states(graph_dict["name"]),
# get_by_name returns only exercises visible to current user
'prereqs': [
prereq["name"] for prereq in graph_dict["prerequisites"]
if exercise_models.Exercise.get_by_name(prereq["name"])
],
}
if admin:
exercise = exercise_models.Exercise.get_by_name(graph_dict["name"])
row["live"] = exercise and exercise.live
graph_dict_data.append(row)
return json.dumps(graph_dict_data)
