def get_thread_analytics_multi(cls, exploration_ids):
"""Gets the thread analytics for the explorations specified by the
exploration_ids.
Args:
exploration_ids: list(str). IDs of the explorations to get
analytics for.
Returns:
list(dict). Each dict in this list corresponds to an
exploration ID in the input list, and has two keys:
- num_open_threads: int. The count of open feedback threads
for this exploration.
- num_total_threads: int. The count of all feedback threads
for this exploration.
"""
realtime_model_ids = cls.get_multi_active_realtime_layer_ids(
exploration_ids)
realtime_models = cls._get_realtime_datastore_class().get_multi(
realtime_model_ids)
feedback_thread_analytics_models = (
feedback_models.FeedbackAnalyticsModel.get_multi(
exploration_ids))
return [feedback_domain.FeedbackAnalytics(
exploration_ids[i],
(realtime_models[i].num_open_threads
if realtime_models[i] is not None else 0) +
(feedback_thread_analytics_models[i].num_open_threads
if feedback_thread_analytics_models[i] is not None else 0),
(realtime_models[i].num_total_threads
if realtime_models[i] is not None else 0) +
(feedback_thread_analytics_models[i].num_total_threads
if feedback_thread_analytics_models[i] is not None else 0)
) for i in range(len(exploration_ids))]
def test_to_dict(self) -> None:
expected_thread_analytics = feedback_domain.FeedbackAnalytics(
feconf.ENTITY_TYPE_EXPLORATION, self.EXP_ID, 1, 2)
self.assertDictEqual(expected_thread_analytics.to_dict(), {
'num_open_threads': 1,
'num_total_threads': 2
})
def test_to_dict(self):
expected_thread_analytics = feedback_domain.FeedbackAnalytics(
self.EXP_ID, 1, 2)
self.assertDictEqual(expected_thread_analytics.to_dict(), {
'num_open_threads': 1,
'num_total_threads': 2
})
def get_thread_analytics_multi(cls, exploration_ids):
"""
Args:
- exploration_ids: ids of the explorations to get statistics for.
Returns a list of dicts, each with two keys: 'num_open_threads' and
'num_total_threads', representing the counts of open and all feedback
threads, respectively.
"""
realtime_model_ids = cls.get_multi_active_realtime_layer_ids(
exploration_ids)
realtime_models = cls._get_realtime_datastore_class().get_multi(
realtime_model_ids)
feedback_thread_analytics_models = (
feedback_models.FeedbackAnalyticsModel.get_multi(exploration_ids))
return [
feedback_domain.FeedbackAnalytics(
exploration_ids[i], (realtime_models[i].num_open_threads if
realtime_models[i] is not None else 0) +
(feedback_thread_analytics_models[i].num_open_threads
if feedback_thread_analytics_models[i] is not None else 0),
(realtime_models[i].num_total_threads
if realtime_models[i] is not None else 0) +
(feedback_thread_analytics_models[i].num_total_threads
if feedback_thread_analytics_models[i] is not None else 0))
for i in range(len(exploration_ids))
]
def get_thread_analytics_multi(exploration_ids):
"""Fetches all FeedbackAnalytics, for all the given exploration ids.
A FeedbackAnalytics contains the exploration id the analytics belongs to,
how many open threads exist for the exploration, how many total threads
exist for the exploration.
Args:
exploration_ids: list(str). A list of exploration ids.
Returns:
list(FeedbackAnalytics). Analytics in the the same order as the input
list. If an exploration id is invalid, the number of threads in the
corresponding FeedbackAnalytics object will be zero.
"""
feedback_thread_analytics_models = (
feedback_models.FeedbackAnalyticsModel.get_multi(exploration_ids))
return [
feedback_domain.FeedbackAnalytics(
feconf.ENTITY_TYPE_EXPLORATION, exp_id,
model.num_open_threads if model is not None else 0,
model.num_total_threads if model is not None else 0)
for exp_id, model in python_utils.ZIP(
exploration_ids, feedback_thread_analytics_models)
]
def get_thread_analytics(cls, exploration_id):
"""
Args:
- exploration_id: id of the exploration to get statistics for.
Returns a dict with two keys: 'num_open_threads' and
'num_total_threads', representing the counts of open and all feedback
threads, respectively.
"""
realtime_model = cls._get_realtime_datastore_class().get(
cls.get_active_realtime_layer_id(exploration_id), strict=False)
feedback_thread_analytics_model = (
feedback_models.FeedbackAnalyticsModel.get(exploration_id,
strict=False))
num_open_threads = 0
num_total_threads = 0
if realtime_model:
num_open_threads = realtime_model.num_open_threads
num_total_threads = realtime_model.num_total_threads
if feedback_thread_analytics_model:
num_open_threads += feedback_thread_analytics_model.num_open_threads
num_total_threads += (
feedback_thread_analytics_model.num_total_threads)
return feedback_domain.FeedbackAnalytics(exploration_id,
num_open_threads,
num_total_threads)
def mock_get_thread_analytics_multi(unused_exploration_ids):
return [feedback_domain.FeedbackAnalytics(self.EXP_ID, 2, 3)]
def mock_get_thread_analytics_multi(unused_exploration_ids):
return [feedback_domain.FeedbackAnalytics(
feconf.ENTITY_TYPE_EXPLORATION, self.EXP_ID, 2, 3)]