def map(item):
# Only process the exploration if it is not private
if item.status == rights_manager.ACTIVITY_STATUS_PRIVATE:
return
exp_summary_id = item.id
exp_summaries_dict = (
exp_services.get_non_private_exploration_summaries())
# Note: This is needed because the exp_summaries_dict is sometimes
# different from the summaries in the datastore, especially when
# new explorations are added.
if exp_summary_id not in exp_summaries_dict:
return
reference_exp_summary = exp_summaries_dict[exp_summary_id]
exp_summaries_items = exp_summaries_dict.iteritems()
for compared_exp_id, compared_exp_summary in exp_summaries_items:
if compared_exp_id != exp_summary_id:
similarity_score = (
recommendations_services.get_item_similarity(
reference_exp_summary.category,
reference_exp_summary.language_code,
reference_exp_summary.owner_ids,
compared_exp_summary.category,
compared_exp_summary.language_code,
compared_exp_summary.exploration_model_last_updated,
compared_exp_summary.owner_ids,
compared_exp_summary.status))
if similarity_score >= SIMILARITY_SCORE_THRESHOLD:
yield (exp_summary_id, {
'similarity_score': similarity_score,
'exp_id': compared_exp_id
})
def map(item):
# Only process the exploration if it is not private
if item.status == rights_manager.ACTIVITY_STATUS_PRIVATE:
return
exp_summary_id = item.id
exp_summaries_dict = (
exp_services.get_non_private_exploration_summaries())
# Note: This is needed because the exp_summaries_dict is sometimes
# different from the summaries in the datastore, especially when
# new explorations are added.
if exp_summary_id not in exp_summaries_dict:
return
reference_exp_summary = exp_summaries_dict[exp_summary_id]
exp_summaries_items = exp_summaries_dict.iteritems()
for compared_exp_id, compared_exp_summary in exp_summaries_items:
if compared_exp_id != exp_summary_id:
similarity_score = (
recommendations_services.get_item_similarity(
reference_exp_summary.category,
reference_exp_summary.language_code,
reference_exp_summary.owner_ids,
compared_exp_summary.category,
compared_exp_summary.language_code,
compared_exp_summary.exploration_model_last_updated,
compared_exp_summary.owner_ids,
compared_exp_summary.status))
if similarity_score >= SIMILARITY_SCORE_THRESHOLD:
yield (exp_summary_id, {
'similarity_score': similarity_score,
'exp_id': compared_exp_id
})
def map(item):
from core.domain import exp_services
from core.domain import recommendations_services
# Note: There is a threshold so that bad recommendations will be
# discarded even if an exploration has few similar explorations.
SIMILARITY_SCORE_THRESHOLD = 3.0
exp_summary_id = item.id
exp_summaries_dict = exp_services.get_non_private_exploration_summaries()
for compared_exp_id in exp_summaries_dict:
if compared_exp_id != exp_summary_id:
similarity_score = recommendations_services.get_item_similarity(exp_summary_id, compared_exp_id)
if similarity_score >= SIMILARITY_SCORE_THRESHOLD:
yield (exp_summary_id, {"similarity_score": similarity_score, "exp_id": compared_exp_id})
def map(item):
from core.domain import exp_services
from core.domain import recommendations_services
from core.domain import rights_manager
# Only process the exploration if it is not private
if item.status == rights_manager.EXPLORATION_STATUS_PRIVATE:
return
# Note: There is a threshold so that bad recommendations will be
# discarded even if an exploration has few similar explorations.
SIMILARITY_SCORE_THRESHOLD = 3.0
exp_summary_id = item.id
exp_summaries_dict = (
exp_services.get_non_private_exploration_summaries())
# Note: This is needed because the exp_summaries_dict is sometimes
# different from the summaries in the datastore, especially when
# new explorations are added.
if exp_summary_id not in exp_summaries_dict:
return
reference_exp_summary = exp_summaries_dict[exp_summary_id]
for compared_exp_id, compared_exp_summary in exp_summaries_dict.iteritems(
):
if compared_exp_id != exp_summary_id:
similarity_score = (
recommendations_services.get_item_similarity(
reference_exp_summary.category,
reference_exp_summary.language_code,
reference_exp_summary.owner_ids,
compared_exp_summary.category,
compared_exp_summary.language_code,
compared_exp_summary.exploration_model_last_updated,
compared_exp_summary.owner_ids,
compared_exp_summary.status))
if similarity_score >= SIMILARITY_SCORE_THRESHOLD:
yield (exp_summary_id, {
'similarity_score': similarity_score,
'exp_id': compared_exp_id
})
def map(item):
from core.domain import exp_services
from core.domain import recommendations_services
from core.domain import rights_manager
# Only process the exploration if it is not private
if item.status == rights_manager.EXPLORATION_STATUS_PRIVATE:
return
# Note: There is a threshold so that bad recommendations will be
# discarded even if an exploration has few similar explorations.
SIMILARITY_SCORE_THRESHOLD = 3.0
exp_summary_id = item.id
exp_summaries_dict = exp_services.get_non_private_exploration_summaries()
# Note: This is needed because the exp_summaries_dict is sometimes
# different from the summaries in the datastore, especially when
# new explorations are added.
if exp_summary_id not in exp_summaries_dict:
return
reference_exp_summary = exp_summaries_dict[exp_summary_id]
for compared_exp_id, compared_exp_summary in exp_summaries_dict.iteritems():
if compared_exp_id != exp_summary_id:
similarity_score = recommendations_services.get_item_similarity(
reference_exp_summary.category,
reference_exp_summary.language_code,
reference_exp_summary.owner_ids,
compared_exp_summary.category,
compared_exp_summary.language_code,
compared_exp_summary.exploration_model_last_updated,
compared_exp_summary.owner_ids,
compared_exp_summary.status,
)
if similarity_score >= SIMILARITY_SCORE_THRESHOLD:
yield (exp_summary_id, {"similarity_score": similarity_score, "exp_id": compared_exp_id})
