def test_get_total_open_threads_before_job_run(self): self.assertEqual(feedback_services.get_total_open_threads( feedback_services.get_thread_analytics_multi([self.EXP_ID_1])), 0) feedback_services.create_thread( self.EXP_ID_1, self.EXPECTED_THREAD_DICT['state_name'], None, self.EXPECTED_THREAD_DICT['subject'], 'not used here') threads = feedback_services.get_all_threads(self.EXP_ID_1, False) self.assertEqual(1, len(threads)) self.assertEqual(feedback_services.get_total_open_threads( feedback_services.get_thread_analytics_multi([self.EXP_ID_1])), 0)
def test_get_total_open_threads_for_multiple_explorations(self): feedback_services.create_thread( self.EXP_ID_1, self.EXPECTED_THREAD_DICT['state_name'], None, self.EXPECTED_THREAD_DICT['subject'], 'not used here') feedback_services.create_thread( self.EXP_ID_2, self.EXPECTED_THREAD_DICT['state_name'], None, self.EXPECTED_THREAD_DICT['subject'], 'not used here') threads_exp_1 = feedback_services.get_all_threads(self.EXP_ID_1, False) self.assertEqual(1, len(threads_exp_1)) threads_exp_2 = feedback_services.get_all_threads(self.EXP_ID_2, False) self.assertEqual(1, len(threads_exp_2)) def _close_thread(exp_id, thread_id): thread = (feedback_models.FeedbackThreadModel. get_by_exp_and_thread_id(exp_id, thread_id)) thread.status = feedback_models.STATUS_CHOICES_FIXED thread.put() _close_thread(self.EXP_ID_1, threads_exp_1[0].get_thread_id()) self.assertEqual( len(feedback_services.get_closed_threads(self.EXP_ID_1, False)), 1) self._run_computation() self.assertEqual(feedback_services.get_total_open_threads( feedback_services.get_thread_analytics_multi( [self.EXP_ID_1, self.EXP_ID_2])), 1)
def test_get_total_open_threads_for_multiple_explorations(self): feedback_services.create_thread( 'exploration', self.EXP_ID_1, None, self.EXPECTED_THREAD_DICT['subject'], 'not used here') feedback_services.create_thread( 'exploration', self.EXP_ID_2, None, self.EXPECTED_THREAD_DICT['subject'], 'not used here') threads_exp_1 = feedback_services.get_all_threads( 'exploration', self.EXP_ID_1, False) self.assertEqual(1, len(threads_exp_1)) threads_exp_2 = feedback_services.get_all_threads( 'exploration', self.EXP_ID_2, False) self.assertEqual(1, len(threads_exp_2)) def _close_thread(thread_id): """Closes the thread corresponding to its thread id by updating its status. """ thread = feedback_models.GeneralFeedbackThreadModel.get_by_id( thread_id) thread.status = feedback_models.STATUS_CHOICES_FIXED thread.put() _close_thread(threads_exp_1[0].id) self.assertEqual(len(feedback_services.get_closed_threads( 'exploration', self.EXP_ID_1, False)), 1) self._run_computation() self.assertEqual(feedback_services.get_total_open_threads( feedback_services.get_thread_analytics_multi( [self.EXP_ID_1, self.EXP_ID_2])), 1)
def test_get_total_open_threads_for_single_exploration(self): feedback_services.create_thread( self.EXP_ID_1, self.EXPECTED_THREAD_DICT['state_name'], None, self.EXPECTED_THREAD_DICT['subject'], 'not used here') threads = feedback_services.get_all_threads(self.EXP_ID_1, False) self.assertEqual(1, len(threads)) self._run_computation() self.assertEqual(feedback_services.get_total_open_threads( feedback_services.get_thread_analytics_multi([self.EXP_ID_1])), 1)
def get(self): """Handles GET requests.""" def _round_average_ratings(rating): """Returns the rounded average rating to display on the creator dashboard. Args: rating: float. The rating of the lesson. Returns: float. The rounded average value of rating. """ return python_utils.ROUND( rating, feconf.AVERAGE_RATINGS_DASHBOARD_PRECISION) subscribed_exploration_summaries = ( exp_fetchers.get_exploration_summaries_subscribed_to(self.user_id)) subscribed_collection_summaries = ( collection_services.get_collection_summaries_subscribed_to( self.user_id)) exploration_ids_subscribed_to = [ summary.id for summary in subscribed_exploration_summaries ] exp_summary_dicts = summary_services.get_displayable_exp_summary_dicts( subscribed_exploration_summaries) collection_summary_dicts = [] feedback_thread_analytics = ( feedback_services.get_thread_analytics_multi( exploration_ids_subscribed_to)) # TODO(bhenning): Update this to use unresolved answers from # stats_services once the training interface is enabled and it's cheaper # to retrieve top answers from stats_services. for ind, exploration in enumerate(exp_summary_dicts): exploration.update(feedback_thread_analytics[ind].to_dict()) exp_summary_dicts = sorted( exp_summary_dicts, key=lambda x: (x['num_open_threads'], x['last_updated_msec']), reverse=True) if constants.ENABLE_NEW_STRUCTURE_PLAYERS: topic_summaries = topic_services.get_all_topic_summaries() topic_summary_dicts = [ summary.to_dict() for summary in topic_summaries ] if role_services.ACTION_CREATE_COLLECTION in self.user.actions: for collection_summary in subscribed_collection_summaries: # TODO(sll): Reuse _get_displayable_collection_summary_dicts() # in summary_services, instead of replicating it like this. collection_summary_dicts.append({ 'id': collection_summary.id, 'title': collection_summary.title, 'category': collection_summary.category, 'objective': collection_summary.objective, 'language_code': collection_summary.language_code, 'last_updated_msec': utils.get_time_in_millisecs( collection_summary.collection_model_last_updated), 'created_on': utils.get_time_in_millisecs( collection_summary.collection_model_created_on), 'status': collection_summary.status, 'node_count': collection_summary.node_count, 'community_owned': collection_summary.community_owned, 'thumbnail_icon_url': (utils.get_thumbnail_icon_url_for_category( collection_summary.category)), 'thumbnail_bg_color': utils.get_hex_color_for_category( collection_summary.category), }) dashboard_stats = ( user_jobs_continuous.UserStatsAggregator.get_dashboard_stats( self.user_id)) dashboard_stats.update({ 'total_open_feedback': feedback_services.get_total_open_threads(feedback_thread_analytics) }) if dashboard_stats and dashboard_stats.get('average_ratings'): dashboard_stats['average_ratings'] = (_round_average_ratings( dashboard_stats['average_ratings'])) last_week_stats = (user_services.get_last_week_dashboard_stats( self.user_id)) if last_week_stats and len(list(last_week_stats.keys())) != 1: logging.error( '\'last_week_stats\' should contain only one key-value pair' ' denoting last week dashboard stats of the user keyed by a' ' datetime string.') last_week_stats = None if last_week_stats: # 'last_week_stats' is a dict with only one key-value pair denoting # last week dashboard stats of the user keyed by a datetime string. datetime_of_stats = list(last_week_stats.keys())[0] last_week_stats_average_ratings = (list( last_week_stats.values())[0].get('average_ratings')) if last_week_stats_average_ratings: last_week_stats[datetime_of_stats]['average_ratings'] = ( _round_average_ratings(last_week_stats_average_ratings)) subscriber_ids = subscription_services.get_all_subscribers_of_creator( self.user_id) subscribers_settings = user_services.get_users_settings(subscriber_ids) subscribers_list = [] for index, subscriber_settings in enumerate(subscribers_settings): subscriber_summary = { 'subscriber_picture_data_url': (subscriber_settings.profile_picture_data_url), 'subscriber_username': subscriber_settings.username, 'subscriber_impact': (user_services.get_user_impact_score(subscriber_ids[index])) } subscribers_list.append(subscriber_summary) user_settings = user_services.get_user_settings(self.user_id, strict=False) creator_dashboard_display_pref = ( user_settings.creator_dashboard_display_pref) suggestions_created_by_user = suggestion_services.query_suggestions([ ('author_id', self.user_id), ('suggestion_type', suggestion_models.SUGGESTION_TYPE_EDIT_STATE_CONTENT) ]) suggestions_which_can_be_reviewed = ( suggestion_services. get_all_suggestions_that_can_be_reviewed_by_user(self.user_id)) for s in suggestions_created_by_user: s.populate_old_value_of_change() for s in suggestions_which_can_be_reviewed: s.populate_old_value_of_change() suggestion_dicts_created_by_user = ([ s.to_dict() for s in suggestions_created_by_user ]) suggestion_dicts_which_can_be_reviewed = ([ s.to_dict() for s in suggestions_which_can_be_reviewed ]) ids_of_suggestions_created_by_user = ([ s['suggestion_id'] for s in suggestion_dicts_created_by_user ]) ids_of_suggestions_which_can_be_reviewed = ([ s['suggestion_id'] for s in suggestion_dicts_which_can_be_reviewed ]) threads_linked_to_suggestions_by_user = ([ t.to_dict() for t in feedback_services.get_multiple_threads( ids_of_suggestions_created_by_user) ]) threads_linked_to_suggestions_which_can_be_reviewed = ([ t.to_dict() for t in feedback_services.get_multiple_threads( ids_of_suggestions_which_can_be_reviewed) ]) self.values.update({ 'explorations_list': exp_summary_dicts, 'collections_list': collection_summary_dicts, 'dashboard_stats': dashboard_stats, 'last_week_stats': last_week_stats, 'subscribers_list': subscribers_list, 'display_preference': creator_dashboard_display_pref, 'threads_for_created_suggestions_list': (threads_linked_to_suggestions_by_user), 'threads_for_suggestions_to_review_list': (threads_linked_to_suggestions_which_can_be_reviewed), 'created_suggestions_list': suggestion_dicts_created_by_user, 'suggestions_to_review_list': suggestion_dicts_which_can_be_reviewed }) if constants.ENABLE_NEW_STRUCTURE_PLAYERS: self.values.update({'topic_summary_dicts': topic_summary_dicts}) self.render_json(self.values)
def get(self): """Handles GET requests.""" if self.user_id is None: raise self.PageNotFoundException def _get_intro_card_color(category): return ( feconf.CATEGORIES_TO_COLORS[category] if category in feconf.CATEGORIES_TO_COLORS else feconf.DEFAULT_COLOR) def _round_average_ratings(rating): return round(rating, feconf.AVERAGE_RATINGS_DASHBOARD_PRECISION) # We need to do the filtering because some activities that were # originally subscribed to may have been deleted since. subscribed_exploration_summaries = [ summary for summary in exp_services.get_exploration_summaries_matching_ids( subscription_services.get_exploration_ids_subscribed_to( self.user_id)) if summary is not None] subscribed_collection_summaries = [ summary for summary in collection_services.get_collection_summaries_matching_ids( subscription_services.get_collection_ids_subscribed_to( self.user_id)) if summary is not None] exploration_ids_subscribed_to = [ summary.id for summary in subscribed_exploration_summaries] exp_summary_dicts = summary_services.get_displayable_exp_summary_dicts( subscribed_exploration_summaries) collection_summary_dicts = [] feedback_thread_analytics = ( feedback_services.get_thread_analytics_multi( exploration_ids_subscribed_to)) # TODO(bhenning): Update this to use unresolved answers from # stats_services once the training interface is enabled and it's cheaper # to retrieve top answers from stats_services. for ind, exploration in enumerate(exp_summary_dicts): exploration.update(feedback_thread_analytics[ind].to_dict()) exp_summary_dicts = sorted( exp_summary_dicts, key=lambda x: (x['num_open_threads'], x['last_updated_msec']), reverse=True) if (self.username in config_domain.WHITELISTED_COLLECTION_EDITOR_USERNAMES.value): for collection_summary in subscribed_collection_summaries: # TODO(sll): Reuse _get_displayable_collection_summary_dicts() # in summary_services, instead of replicating it like this. collection_summary_dicts.append({ 'id': collection_summary.id, 'title': collection_summary.title, 'category': collection_summary.category, 'objective': collection_summary.objective, 'language_code': collection_summary.language_code, 'last_updated': utils.get_time_in_millisecs( collection_summary.collection_model_last_updated), 'created_on': utils.get_time_in_millisecs( collection_summary.collection_model_created_on), 'status': collection_summary.status, 'node_count': collection_summary.node_count, 'community_owned': collection_summary.community_owned, 'thumbnail_icon_url': ( utils.get_thumbnail_icon_url_for_category( collection_summary.category)), 'thumbnail_bg_color': utils.get_hex_color_for_category( collection_summary.category), }) dashboard_stats = ( user_jobs_continuous.UserStatsAggregator.get_dashboard_stats( self.user_id)) dashboard_stats.update({ 'total_open_feedback': feedback_services.get_total_open_threads( feedback_thread_analytics) }) if dashboard_stats and dashboard_stats.get('average_ratings'): dashboard_stats['average_ratings'] = ( _round_average_ratings(dashboard_stats['average_ratings'])) last_week_stats = ( user_services.get_last_week_dashboard_stats(self.user_id)) if last_week_stats and last_week_stats.get('average_ratings'): last_week_stats['average_ratings'] = ( _round_average_ratings(last_week_stats['average_ratings'])) subscriber_ids = subscription_services.get_all_subscribers_of_creator( self.user_id) subscribers_settings = user_services.get_users_settings(subscriber_ids) subscribers_list = [] for index, subscriber_settings in enumerate(subscribers_settings): subscriber_summary = { 'subscriber_picture_data_url': ( subscriber_settings.profile_picture_data_url), 'subscriber_username': subscriber_settings.username, 'subscriber_impact': ( user_services.get_user_impact_score(subscriber_ids[index])) } subscribers_list.append(subscriber_summary) self.values.update({ 'explorations_list': exp_summary_dicts, 'collections_list': collection_summary_dicts, 'dashboard_stats': dashboard_stats, 'last_week_stats': last_week_stats, 'subscribers_list': subscribers_list }) self.render_json(self.values)
def get(self): """Handles GET requests.""" def _get_intro_card_color(category): return ( constants.CATEGORIES_TO_COLORS[category] if category in constants.CATEGORIES_TO_COLORS else constants.DEFAULT_COLOR) def _round_average_ratings(rating): return round(rating, feconf.AVERAGE_RATINGS_DASHBOARD_PRECISION) # We need to do the filtering because some activities that were # originally subscribed to may have been deleted since. subscribed_exploration_summaries = [ summary for summary in exp_services.get_exploration_summaries_matching_ids( subscription_services.get_exploration_ids_subscribed_to( self.user_id)) if summary is not None] subscribed_collection_summaries = [ summary for summary in collection_services.get_collection_summaries_matching_ids( subscription_services.get_collection_ids_subscribed_to( self.user_id)) if summary is not None] exploration_ids_subscribed_to = [ summary.id for summary in subscribed_exploration_summaries] exp_summary_dicts = summary_services.get_displayable_exp_summary_dicts( subscribed_exploration_summaries) collection_summary_dicts = [] feedback_thread_analytics = ( feedback_services.get_thread_analytics_multi( exploration_ids_subscribed_to)) # TODO(bhenning): Update this to use unresolved answers from # stats_services once the training interface is enabled and it's cheaper # to retrieve top answers from stats_services. for ind, exploration in enumerate(exp_summary_dicts): exploration.update(feedback_thread_analytics[ind].to_dict()) exp_summary_dicts = sorted( exp_summary_dicts, key=lambda x: (x['num_open_threads'], x['last_updated_msec']), reverse=True) if constants.ENABLE_NEW_STRUCTURE_PLAYERS: topic_summaries = topic_services.get_all_topic_summaries() topic_summary_dicts = [ summary.to_dict() for summary in topic_summaries] if role_services.ACTION_CREATE_COLLECTION in self.user.actions: for collection_summary in subscribed_collection_summaries: # TODO(sll): Reuse _get_displayable_collection_summary_dicts() # in summary_services, instead of replicating it like this. collection_summary_dicts.append({ 'id': collection_summary.id, 'title': collection_summary.title, 'category': collection_summary.category, 'objective': collection_summary.objective, 'language_code': collection_summary.language_code, 'last_updated': utils.get_time_in_millisecs( collection_summary.collection_model_last_updated), 'created_on': utils.get_time_in_millisecs( collection_summary.collection_model_created_on), 'status': collection_summary.status, 'node_count': collection_summary.node_count, 'community_owned': collection_summary.community_owned, 'thumbnail_icon_url': ( utils.get_thumbnail_icon_url_for_category( collection_summary.category)), 'thumbnail_bg_color': utils.get_hex_color_for_category( collection_summary.category), }) dashboard_stats = ( user_jobs_continuous.UserStatsAggregator.get_dashboard_stats( self.user_id)) dashboard_stats.update({ 'total_open_feedback': feedback_services.get_total_open_threads( feedback_thread_analytics) }) if dashboard_stats and dashboard_stats.get('average_ratings'): dashboard_stats['average_ratings'] = ( _round_average_ratings(dashboard_stats['average_ratings'])) last_week_stats = ( user_services.get_last_week_dashboard_stats(self.user_id)) if last_week_stats and last_week_stats.get('average_ratings'): last_week_stats['average_ratings'] = ( _round_average_ratings(last_week_stats['average_ratings'])) subscriber_ids = subscription_services.get_all_subscribers_of_creator( self.user_id) subscribers_settings = user_services.get_users_settings(subscriber_ids) subscribers_list = [] for index, subscriber_settings in enumerate(subscribers_settings): subscriber_summary = { 'subscriber_picture_data_url': ( subscriber_settings.profile_picture_data_url), 'subscriber_username': subscriber_settings.username, 'subscriber_impact': ( user_services.get_user_impact_score(subscriber_ids[index])) } subscribers_list.append(subscriber_summary) user_settings = user_services.get_user_settings( self.user_id, strict=False) creator_dashboard_display_pref = ( user_settings.creator_dashboard_display_pref) suggestions_created_by_user = suggestion_services.query_suggestions( [('author_id', self.user_id), ( 'suggestion_type', suggestion_models.SUGGESTION_TYPE_EDIT_STATE_CONTENT)]) suggestions_which_can_be_reviewed = ( suggestion_services .get_all_suggestions_that_can_be_reviewed_by_user(self.user_id)) for s in suggestions_created_by_user: s.populate_old_value_of_change() for s in suggestions_which_can_be_reviewed: s.populate_old_value_of_change() suggestion_dicts_created_by_user = ( [s.to_dict() for s in suggestions_created_by_user]) suggestion_dicts_which_can_be_reviewed = ( [s.to_dict() for s in suggestions_which_can_be_reviewed]) ids_of_suggestions_created_by_user = ( [s['suggestion_id'] for s in suggestion_dicts_created_by_user]) ids_of_suggestions_which_can_be_reviewed = ( [s['suggestion_id'] for s in suggestion_dicts_which_can_be_reviewed]) threads_linked_to_suggestions_by_user = ( [t.to_dict() for t in feedback_services.get_multiple_threads( ids_of_suggestions_created_by_user)]) threads_linked_to_suggestions_which_can_be_reviewed = ( [t.to_dict() for t in feedback_services.get_multiple_threads( ids_of_suggestions_which_can_be_reviewed)]) self.values.update({ 'explorations_list': exp_summary_dicts, 'collections_list': collection_summary_dicts, 'dashboard_stats': dashboard_stats, 'last_week_stats': last_week_stats, 'subscribers_list': subscribers_list, 'display_preference': creator_dashboard_display_pref, 'threads_for_created_suggestions_list': ( threads_linked_to_suggestions_by_user), 'threads_for_suggestions_to_review_list': ( threads_linked_to_suggestions_which_can_be_reviewed), 'created_suggestions_list': suggestion_dicts_created_by_user, 'suggestions_to_review_list': suggestion_dicts_which_can_be_reviewed }) if constants.ENABLE_NEW_STRUCTURE_PLAYERS: self.values.update({ 'topic_summary_dicts': topic_summary_dicts }) self.render_json(self.values)
def get(self): """Handles GET requests.""" if self.user_id is None: raise self.PageNotFoundException def _get_intro_card_color(category): return ( feconf.CATEGORIES_TO_COLORS[category] if category in feconf.CATEGORIES_TO_COLORS else feconf.DEFAULT_COLOR) def _round_average_ratings(rating): return round(rating, feconf.AVERAGE_RATINGS_DASHBOARD_PRECISION) exploration_ids_subscribed_to = ( subscription_services.get_exploration_ids_subscribed_to( self.user_id)) subscribed_exploration_summaries = filter(None, ( exp_services.get_exploration_summaries_matching_ids( exploration_ids_subscribed_to))) subscribed_collection_summaries = filter(None, ( collection_services.get_collection_summaries_matching_ids( subscription_services.get_collection_ids_subscribed_to( self.user_id)))) exp_summary_list = summary_services.get_displayable_exp_summary_dicts( subscribed_exploration_summaries) collection_summary_list = [] feedback_thread_analytics = ( feedback_services.get_thread_analytics_multi( exploration_ids_subscribed_to)) unresolved_answers_dict = ( stats_services.get_exps_unresolved_answers_count_for_default_rule( exploration_ids_subscribed_to)) for ind, exploration in enumerate(exp_summary_list): exploration.update(feedback_thread_analytics[ind].to_dict()) exploration.update({ 'num_unresolved_answers': ( unresolved_answers_dict[exploration['id']] if exploration['id'] in unresolved_answers_dict else 0 ) }) exp_summary_list = sorted( exp_summary_list, key=lambda x: (x['num_open_threads'], x['last_updated_msec']), reverse=True) if (self.username in config_domain.WHITELISTED_COLLECTION_EDITOR_USERNAMES.value): for collection_summary in subscribed_collection_summaries: # TODO(sll): Reuse _get_displayable_collection_summary_dicts() # in summary_services, instead of replicating it like this. collection_summary_list.append({ 'id': collection_summary.id, 'title': collection_summary.title, 'category': collection_summary.category, 'objective': collection_summary.objective, 'language_code': collection_summary.language_code, 'last_updated': utils.get_time_in_millisecs( collection_summary.collection_model_last_updated), 'created_on': utils.get_time_in_millisecs( collection_summary.collection_model_created_on), 'status': collection_summary.status, 'community_owned': collection_summary.community_owned, 'thumbnail_icon_url': ( utils.get_thumbnail_icon_url_for_category( collection_summary.category)), 'thumbnail_bg_color': utils.get_hex_color_for_category( collection_summary.category), }) dashboard_stats = ( user_jobs_continuous.UserStatsAggregator.get_dashboard_stats( self.user_id)) dashboard_stats.update({ 'total_open_feedback': feedback_services.get_total_open_threads( feedback_thread_analytics) }) if dashboard_stats and dashboard_stats.get('average_ratings'): dashboard_stats['average_ratings'] = ( _round_average_ratings(dashboard_stats['average_ratings'])) last_week_stats = ( user_services.get_last_week_dashboard_stats(self.user_id)) if last_week_stats and last_week_stats.get('average_ratings'): last_week_stats['average_ratings'] = ( _round_average_ratings(last_week_stats['average_ratings'])) self.values.update({ 'explorations_list': exp_summary_list, 'collections_list': collection_summary_list, 'dashboard_stats': dashboard_stats, 'last_week_stats': last_week_stats }) self.render_json(self.values)
def get(self): """Handles GET requests.""" if self.user_id is None: raise self.PageNotFoundException def _get_intro_card_color(category): return (feconf.CATEGORIES_TO_COLORS[category] if category in feconf.CATEGORIES_TO_COLORS else feconf.DEFAULT_COLOR) def _round_average_ratings(rating): return round(rating, feconf.AVERAGE_RATINGS_DASHBOARD_PRECISION) # We need to do the filtering because some activities that were # originally subscribed to may have been deleted since. subscribed_exploration_summaries = [ summary for summary in exp_services.get_exploration_summaries_matching_ids( subscription_services.get_exploration_ids_subscribed_to( self.user_id)) if summary is not None ] subscribed_collection_summaries = [ summary for summary in collection_services.get_collection_summaries_matching_ids( subscription_services.get_collection_ids_subscribed_to( self.user_id)) if summary is not None ] exploration_ids_subscribed_to = [ summary.id for summary in subscribed_exploration_summaries ] exp_summary_dicts = summary_services.get_displayable_exp_summary_dicts( subscribed_exploration_summaries) collection_summary_dicts = [] feedback_thread_analytics = ( feedback_services.get_thread_analytics_multi( exploration_ids_subscribed_to)) # TODO(bhenning): Update this to use unresolved answers from # stats_services once the training interface is enabled and it's cheaper # to retrieve top answers from stats_services. for ind, exploration in enumerate(exp_summary_dicts): exploration.update(feedback_thread_analytics[ind].to_dict()) exp_summary_dicts = sorted( exp_summary_dicts, key=lambda x: (x['num_open_threads'], x['last_updated_msec']), reverse=True) if (self.username in config_domain.WHITELISTED_COLLECTION_EDITOR_USERNAMES.value): for collection_summary in subscribed_collection_summaries: # TODO(sll): Reuse _get_displayable_collection_summary_dicts() # in summary_services, instead of replicating it like this. collection_summary_dicts.append({ 'id': collection_summary.id, 'title': collection_summary.title, 'category': collection_summary.category, 'objective': collection_summary.objective, 'language_code': collection_summary.language_code, 'last_updated': utils.get_time_in_millisecs( collection_summary.collection_model_last_updated), 'created_on': utils.get_time_in_millisecs( collection_summary.collection_model_created_on), 'status': collection_summary.status, 'node_count': collection_summary.node_count, 'community_owned': collection_summary.community_owned, 'thumbnail_icon_url': (utils.get_thumbnail_icon_url_for_category( collection_summary.category)), 'thumbnail_bg_color': utils.get_hex_color_for_category( collection_summary.category), }) dashboard_stats = ( user_jobs_continuous.UserStatsAggregator.get_dashboard_stats( self.user_id)) dashboard_stats.update({ 'total_open_feedback': feedback_services.get_total_open_threads(feedback_thread_analytics) }) if dashboard_stats and dashboard_stats.get('average_ratings'): dashboard_stats['average_ratings'] = (_round_average_ratings( dashboard_stats['average_ratings'])) last_week_stats = (user_services.get_last_week_dashboard_stats( self.user_id)) if last_week_stats and last_week_stats.get('average_ratings'): last_week_stats['average_ratings'] = (_round_average_ratings( last_week_stats['average_ratings'])) subscriber_ids = subscription_services.get_all_subscribers_of_creator( self.user_id) subscribers_settings = user_services.get_users_settings(subscriber_ids) subscribers_list = [] for index, subscriber_settings in enumerate(subscribers_settings): subscriber_summary = { 'subscriber_picture_data_url': (subscriber_settings.profile_picture_data_url), 'subscriber_username': subscriber_settings.username, 'subscriber_impact': (user_services.get_user_impact_score(subscriber_ids[index])) } subscribers_list.append(subscriber_summary) self.values.update({ 'explorations_list': exp_summary_dicts, 'collections_list': collection_summary_dicts, 'dashboard_stats': dashboard_stats, 'last_week_stats': last_week_stats, 'subscribers_list': subscribers_list }) self.render_json(self.values)
def get(self): """Handles GET requests.""" if self.user_id is None: raise self.PageNotFoundException def _get_intro_card_color(category): return (feconf.CATEGORIES_TO_COLORS[category] if category in feconf.CATEGORIES_TO_COLORS else feconf.DEFAULT_COLOR) def _round_average_ratings(rating): return round(rating, feconf.AVERAGE_RATINGS_DASHBOARD_PRECISION) exploration_ids_subscribed_to = ( subscription_services.get_exploration_ids_subscribed_to( self.user_id)) subscribed_exploration_summaries = filter( None, (exp_services.get_exploration_summaries_matching_ids( exploration_ids_subscribed_to))) subscribed_collection_summaries = filter( None, (collection_services.get_collection_summaries_matching_ids( subscription_services.get_collection_ids_subscribed_to( self.user_id)))) exp_summary_list = summary_services.get_displayable_exp_summary_dicts( subscribed_exploration_summaries) collection_summary_list = [] feedback_thread_analytics = ( feedback_services.get_thread_analytics_multi( exploration_ids_subscribed_to)) unresolved_answers_dict = ( stats_services.get_exps_unresolved_answers_for_default_rule( exploration_ids_subscribed_to)) total_unresolved_answers = 0 for ind, exploration in enumerate(exp_summary_list): exploration.update(feedback_thread_analytics[ind].to_dict()) exploration.update({ 'num_unresolved_answers': (unresolved_answers_dict[exploration['id']]['count'] if exploration['id'] in unresolved_answers_dict else 0), 'top_unresolved_answers': (unresolved_answers_dict[ exploration['id']]['unresolved_answers'] [:feconf.TOP_UNRESOLVED_ANSWERS_COUNT_DASHBOARD]) }) total_unresolved_answers += exploration['num_unresolved_answers'] exp_summary_list = sorted( exp_summary_list, key=lambda x: (x['num_open_threads'], x['last_updated_msec']), reverse=True) if (self.username in config_domain.WHITELISTED_COLLECTION_EDITOR_USERNAMES.value): for collection_summary in subscribed_collection_summaries: # TODO(sll): Reuse _get_displayable_collection_summary_dicts() # in summary_services, instead of replicating it like this. collection_summary_list.append({ 'id': collection_summary.id, 'title': collection_summary.title, 'category': collection_summary.category, 'objective': collection_summary.objective, 'language_code': collection_summary.language_code, 'last_updated': utils.get_time_in_millisecs( collection_summary.collection_model_last_updated), 'created_on': utils.get_time_in_millisecs( collection_summary.collection_model_created_on), 'status': collection_summary.status, 'node_count': collection_summary.node_count, 'community_owned': collection_summary.community_owned, 'thumbnail_icon_url': (utils.get_thumbnail_icon_url_for_category( collection_summary.category)), 'thumbnail_bg_color': utils.get_hex_color_for_category( collection_summary.category), }) dashboard_stats = ( user_jobs_continuous.UserStatsAggregator.get_dashboard_stats( self.user_id)) dashboard_stats.update({ 'total_open_feedback': feedback_services.get_total_open_threads( feedback_thread_analytics), 'total_unresolved_answers': total_unresolved_answers }) if dashboard_stats and dashboard_stats.get('average_ratings'): dashboard_stats['average_ratings'] = (_round_average_ratings( dashboard_stats['average_ratings'])) last_week_stats = (user_services.get_last_week_dashboard_stats( self.user_id)) if last_week_stats and last_week_stats.get('average_ratings'): last_week_stats['average_ratings'] = (_round_average_ratings( last_week_stats['average_ratings'])) self.values.update({ 'explorations_list': exp_summary_list, 'collections_list': collection_summary_list, 'dashboard_stats': dashboard_stats, 'last_week_stats': last_week_stats }) self.render_json(self.values)