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physical
Commit f4fea10d authored by 段英荣's avatar 段英荣
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Merge branch 'master' into 'test' 

Master

See merge request alpha/physical!306
parents f90de1e8 4f0b28b4
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Showing with 65 additions and 85 deletions
.idea/codeStyles/Project.xml
View file @ f4fea10d
......@@ -24,29 +24,5 @@
<option name="ITERATION_ELEMENTS_WRAPPING" value="chop_down_if_not_single" />
</formatting-settings>
</DBN-SQL>
<DBN-PSQL>
<case-options enabled="false">
<option name="KEYWORD_CASE" value="lower" />
<option name="FUNCTION_CASE" value="lower" />
<option name="PARAMETER_CASE" value="lower" />
<option name="DATATYPE_CASE" value="lower" />
<option name="OBJECT_CASE" value="preserve" />
</case-options>
<formatting-settings enabled="false" />
</DBN-PSQL>
<DBN-SQL>
<case-options enabled="false">
<option name="KEYWORD_CASE" value="lower" />
<option name="FUNCTION_CASE" value="lower" />
<option name="PARAMETER_CASE" value="lower" />
<option name="DATATYPE_CASE" value="lower" />
<option name="OBJECT_CASE" value="preserve" />
</case-options>
<formatting-settings enabled="false">
<option name="STATEMENT_SPACING" value="one_line" />
<option name="CLAUSE_CHOP_DOWN" value="chop_down_if_statement_long" />
<option name="ITERATION_ELEMENTS_WRAPPING" value="chop_down_if_not_single" />
</formatting-settings>
</DBN-SQL>
</code_scheme>
</component>
\ No newline at end of file
libs/es.py
View file @ f4fea10d
......@@ -288,25 +288,40 @@ class ESPerform(object):
def get_tag_topic_list(cls, tag_id, have_read_topic_id_list, size=100):
try:
functions_list = list()
for id in tag_id:
functions_list.append(
{
"filter": {"term": {"tag_list": id}},
"weight": 1
}
)
# for id in tag_id:
# functions_list.append(
# {
# "filter": {"term": {"tag_list": id}},
# "weight": 1
# }
# )
functions_list += [
{
"filter": {"term": {"content_level": 6}},
"weight": 6000
"filter": {
"constant_score":{
"filter":{
"term": {"content_level": 6}}
}
},
"weight": 60
},
{
"filter": {"term": {"content_level": 5}},
"weight": 5000
"filter": {
"constant_score":{
"filter":{
"term": {"content_level": 5}}
}
},
"weight": 50
},
{
"filter": {"term": {"content_level": 4}},
"weight": 4000
"filter": {
"constant_score":{
"filter":{
"term": {"content_level": 4}}
}
},
"weight": 40
}
]
q = {
......@@ -333,7 +348,7 @@ class ESPerform(object):
"sort": [
{"_score": {"order": "desc"}},
{"create_time_val": {"order": "desc"}},
{"language_type": {"order": "asc"}},
# {"language_type": {"order": "asc"}},
]
}
if len(have_read_topic_id_list) > 0:
......
linucb/views/collect_data.py
View file @ f4fea10d
......@@ -103,12 +103,9 @@ class CollectData(object):
if len(recommend_topic_id_list)==0 and cursor==0 and len(redis_topic_list)>0:
have_read_topic_id_list.extend(redis_topic_list[:2])
if len(tag_id_list) > 0:
if len(new_user_click_tag_list)>0:
if len(new_user_click_tag_list)>0:
tag_topic_id_list = ESPerform.get_tag_topic_list(new_user_click_tag_list, have_read_topic_id_list)
logging.warning("tag_topic_id_list:%s" % str(new_user_click_tag_list))
logging.warning("tag_id_list:%s" % str(tag_id_list))
else:
else:
tag_topic_id_list = ESPerform.get_tag_topic_list(tag_id_list,have_read_topic_id_list)
......@@ -251,9 +248,7 @@ class CollectData(object):
else:
tagid_list = list()
logging.warning("unknown type msg:%s" % raw_val_dict.get("type", "missing type"))
logging.info(
"consume click topic_id:%s,device_id:%s" % (
str(tagid_list), str(device_id)))
device_id = raw_val_dict["device"]["device_id"]
user_id = raw_val_dict["user_id"] if "user_id" in raw_val_dict else None
......
search/utils/topic.py
View file @ f4fea10d
......@@ -177,32 +177,28 @@ class TopicUtils(object):
},
{
"filter": {
"term": {
"content_level": 6
}
},
"weight": 1000
},
{
"filter": {
"term": {
"is_excellent": 1
"constant_score":{
"filter":{
"term": {
"content_level": 6
}
}
}
},
"weight": 500
"weight": 600
}
]
if len(user_similar_score_list) > 0:
for item in user_similar_score_list[:100]:
score_item = 2 + item[1]
functions_list.append(
{
"filter": {"bool": {
"should": {"term": {"user_id": item[0]}}}},
"weight": score_item,
}
)
# if len(user_similar_score_list) > 0:
# for item in user_similar_score_list[:100]:
# score_item = 2 + item[1]
# functions_list.append(
# {
# "filter": {"bool": {
# "should": {"term": {"user_id": item[0]}}}},
# "weight": score_item,
# }
# )
if len(attention_user_id_list) > 0:
functions_list.append(
......
search/views/tag.py
View file @ f4fea10d
......@@ -155,7 +155,7 @@ def choice_push_tag(device_id, user_id):
@bind("physical/search/identity_tag_name")
def identity_tag_name(topic_content):
try:
ret_tag_list = list()
ret_tag_set = set()
redis_key_name = "physical:tag_name_set"
body = {
......@@ -171,9 +171,9 @@ def identity_tag_name(topic_content):
token_word = item["token"]
is_member = redis_client.sismember(redis_key_name, token_word)
if is_member:
ret_tag_list.append(token_word)
ret_tag_set.add(token_word)
return {"tag_name_list": ret_tag_list}
return {"tag_name_list": list(ret_tag_set)}
except:
logging.error("catch exception,err_msg:%s" % traceback.format_exc())
return {"tag_name_list": []}
......
search/views/topic.py
View file @ f4fea10d
......@@ -73,10 +73,10 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
if offset>0: # 首次搜索时不需要过滤已读
have_read_topic_id_list = list(json.loads(redis_field_val_list[0]))
user_similar_score_redis_key = "physical:user_similar_score:user_id:" + str(user_id)
redis_user_similar_score_redis_val = redis_client.get(user_similar_score_redis_key)
user_similar_score_redis_list = json.loads(
redis_user_similar_score_redis_val) if redis_user_similar_score_redis_val else []
# user_similar_score_redis_key = "physical:user_similar_score:user_id:" + str(user_id)
# redis_user_similar_score_redis_val = redis_client.get(user_similar_score_redis_key)
# user_similar_score_redis_list = json.loads(
# redis_user_similar_score_redis_val) if redis_user_similar_score_redis_val else []
attention_tag_list = list()
recommend_topic_list = list()
......@@ -113,8 +113,7 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
topic_id_list = list()
rank_topic_id_list = TopicUtils.get_recommend_topic_ids(user_id=user_id, tag_id=tag_id, offset=0, size=size,
single_size=size,query=query, query_type=query_type,
filter_topic_id_list=have_read_topic_id_list,
user_similar_score_list=user_similar_score_redis_list,index_type="topic-high-star",routing="4,5,6",attention_tag_list=attention_tag_list)
filter_topic_id_list=have_read_topic_id_list,index_type="topic-high-star",routing="4,5,6",attention_tag_list=attention_tag_list)
if len(recommend_topic_list) == 6 and query is None:
if (size < 11):
......
trans2es/models/topic.py
View file @ f4fea10d
......@@ -209,7 +209,7 @@ class Topic(models.Model):
user_query_results = UserExtra.objects.using(settings.SLAVE_DB_NAME).filter(user_id=self.user_id)
if user_query_results.count() > 0:
if user_query_results[0].is_recommend:
offline_score += 2.0
offline_score += 2.0 *10
elif user_query_results[0].is_shadow:
user_is_shadow = True
......@@ -219,18 +219,18 @@ class Topic(models.Model):
# 帖子等级
if self.content_level == '5':
offline_score += 6.0
offline_score += 100.0 *3
elif self.content_level == '4':
offline_score += 5.0
offline_score += 60.0 *3
elif self.content_level == '6':
offline_score += 400.0
offline_score += 200.0 *3
is_excellent = self.judge_if_excellent_topic(self.id)
if is_excellent:
offline_score += 200.0
# is_excellent = self.judge_if_excellent_topic(self.id)
# if is_excellent:
# offline_score += 200.0
if self.language_type == 1:
offline_score += 100.0
offline_score += 60.0
# exposure_count = ActionSumAboutTopic.objects.using(settings.SLAVE_DB_NAME).filter(topic_id=self.id, data_type=1).count()
# click_count = ActionSumAboutTopic.objects.using(settings.SLAVE_DB_NAME).filter(topic_id=self.id, data_type=2).count()
# uv_num = ActionSumAboutTopic.objects.using(settings.SLAVE_DB_NAME).filter(topic_id=self.id, data_type=3).count()
......
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