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钟尚武
physical
Commits
4e6d1d70
Commit
4e6d1d70
authored
Apr 29, 2019
by
黄凯
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Merge branch 'hk' into 'test'
revise read history See merge request alpha/physical!308
parents
f4fea10d
5f58738a
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6 changed files
with
106 additions
and
34 deletions
+106
-34
misc.xml
.idea/misc.xml
+1
-1
physical.iml
.idea/physical.iml
+1
-1
es.py
libs/es.py
+71
-0
collect_data.py
linucb/views/collect_data.py
+16
-6
topic.py
search/utils/topic.py
+9
-25
topic.py
search/views/topic.py
+8
-1
No files found.
.idea/misc.xml
View file @
4e6d1d70
<?xml version="1.0" encoding="UTF-8"?>
<project
version=
"4"
>
<component
name=
"ProjectRootManager"
version=
"2"
project-jdk-name=
"Python 3.6 (
venv
)"
project-jdk-type=
"Python SDK"
/>
<component
name=
"ProjectRootManager"
version=
"2"
project-jdk-name=
"Python 3.6 (
physical1
)"
project-jdk-type=
"Python SDK"
/>
<component
name=
"PyCharmProfessionalAdvertiser"
>
<option
name=
"shown"
value=
"true"
/>
</component>
...
...
.idea/physical.iml
View file @
4e6d1d70
...
...
@@ -2,7 +2,7 @@
<module
type=
"PYTHON_MODULE"
version=
"4"
>
<component
name=
"NewModuleRootManager"
>
<content
url=
"file://$MODULE_DIR$"
/>
<orderEntry
type=
"jdk"
jdkName=
"Python 3.6 (
venv
)"
jdkType=
"Python SDK"
/>
<orderEntry
type=
"jdk"
jdkName=
"Python 3.6 (
physical1
)"
jdkType=
"Python SDK"
/>
<orderEntry
type=
"sourceFolder"
forTests=
"false"
/>
</component>
<component
name=
"TestRunnerService"
>
...
...
libs/es.py
View file @
4e6d1d70
...
...
@@ -366,3 +366,74 @@ class ESPerform(object):
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
list
()
@classmethod
def
get_tag_topic_list_dict
(
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
}
)
functions_list
+=
[
{
"filter"
:
{
"term"
:
{
"content_level"
:
6
}},
"weight"
:
6000
},
{
"filter"
:
{
"term"
:
{
"content_level"
:
5
}},
"weight"
:
5000
},
{
"filter"
:
{
"term"
:
{
"content_level"
:
4
}},
"weight"
:
4000
}
]
q
=
{
"query"
:
{
"function_score"
:
{
"query"
:
{
"bool"
:
{
"must"
:
[
{
"range"
:
{
"content_level"
:
{
"gte"
:
4
,
"lte"
:
6
}}},
{
"term"
:
{
"is_online"
:
True
}},
{
"term"
:
{
"is_deleted"
:
False
}},
{
"terms"
:
{
"tag_list"
:
tag_id
}}
]
}
},
"boost_mode"
:
"sum"
,
"score_mode"
:
"sum"
,
"functions"
:
functions_list
}
},
"_source"
:
{
"include"
:
[
"id"
]
},
"sort"
:
[
{
"_score"
:
{
"order"
:
"desc"
}},
{
"create_time_val"
:
{
"order"
:
"desc"
}},
{
"language_type"
:
{
"order"
:
"asc"
}},
]
}
if
len
(
have_read_topic_id_list
)
>
0
:
q
[
"query"
][
"function_score"
][
"query"
][
"bool"
][
"must_not"
]
=
{
"terms"
:
{
"id"
:
have_read_topic_id_list
}
}
result_dict
=
ESPerform
.
get_search_results
(
ESPerform
.
get_cli
(),
sub_index_name
=
"topic"
,
query_body
=
q
,
offset
=
0
,
size
=
size
,
routing
=
"4,5,6"
)
topic_id_list
=
[
item
[
"_source"
][
"id"
]
for
item
in
result_dict
[
"hits"
]]
# logging.info("topic_id_list:%s" % str(topic_id_list))
topic_id_dict
=
[{
str
(
item
[
"_source"
][
"id"
]):
item
[
"_source"
][
"user_id"
]}
for
item
in
result_dict
[
"hits"
]]
# logging.info("topic_id_list:%s" % str(topic_id_list))
return
topic_id_list
,
topic_id_dict
except
:
logging
.
error
(
"catch exception,err_msg:
%
s"
%
traceback
.
format_exc
())
return
list
()
linucb/views/collect_data.py
View file @
4e6d1d70
...
...
@@ -74,18 +74,23 @@ class CollectData(object):
have_read_topic_id_list
.
extend
(
promote_recommend_topic_id_list
)
recommend_topic_id_list
=
list
()
recommend_topic_id_list_dict
=
list
()
recommend_topic_id_list_click
=
list
()
recommend_topic_id_list_click_dict
=
list
()
if
click_topic_tag_list
:
if
len
(
click_topic_tag_list
)
>
0
:
recommend_topic_id_list_click
=
ESPerform
.
get_tag_topic_lis
t
(
click_topic_tag_list
,
recommend_topic_id_list_click
,
recommend_topic_id_list_click_dict
=
ESPerform
.
get_tag_topic_list_dic
t
(
click_topic_tag_list
,
have_read_topic_id_list
,
size
=
2
)
if
len
(
recommend_topic_id_list_click
)
>
0
:
recommend_topic_id_list
.
extend
(
recommend_topic_id_list_click
)
have_read_topic_id_list
.
extend
(
recommend_topic_id_list
)
recommend_topic_id_list_dict
.
extend
(
recommend_topic_id_list_click_dict
)
have_read_topic_id_list
.
extend
(
recommend_topic_id_list_click
)
click_recommend_redis_key
=
self
.
click_recommend_redis_key_prefix
+
str
(
device_id
)
click_redis_data_dict
=
{
"data"
:
json
.
dumps
(
recommend_topic_id_list
),
"datadict"
:
json
.
dumps
(
recommend_topic_id_list_dict
),
"cursor"
:
0
}
redis_client
.
hmset
(
click_recommend_redis_key
,
click_redis_data_dict
)
...
...
@@ -101,25 +106,30 @@ class CollectData(object):
b
"data"
]
else
[]
cursor
=
int
(
str
(
redis_topic_data_dict
[
b
"cursor"
],
encoding
=
"utf-8"
))
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
])
tag_topic_dict
=
list
()
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
)
tag_topic_id_list
,
tag_topic_dict
=
ESPerform
.
get_tag_topic_list_dict
(
new_user_click_tag_list
,
have_read_topic_id_list
)
else
:
tag_topic_id_list
=
ESPerform
.
get_tag_topic_lis
t
(
tag_id_list
,
have_read_topic_id_list
)
tag_topic_id_list
,
tag_topic_dict
=
ESPerform
.
get_tag_topic_list_dic
t
(
tag_id_list
,
have_read_topic_id_list
)
if
len
(
recommend_topic_id_list
)
>
0
or
len
(
new_user_click_tag_list
)
>
0
:
tag_topic_id_list
=
recommend_topic_id_list
+
tag_topic_id_list
tag_topic_dict
=
recommend_topic_id_list_dict
+
tag_topic_dict
redis_data_dict
=
{
"data"
:
json
.
dumps
(
tag_topic_id_list
),
"datadict"
:
json
.
dumps
(
tag_topic_dict
),
"cursor"
:
0
}
redis_client
.
hmset
(
topic_recommend_redis_key
,
redis_data_dict
)
else
:
if
cursor
<=
0
and
len
(
redis_topic_list
)
>
0
:
tag_topic_
id_list
=
redis_topic_list
[:
2
]
+
tag_topic_id_lis
t
tag_topic_
id_list
=
list
(
set
(
tag_topic_id_lis
t
))
tag_topic_
dict
=
redis_topic_list
[:
2
]
+
tag_topic_dic
t
tag_topic_
dict
=
list
(
set
(
tag_topic_dic
t
))
return
True
except
:
...
...
search/utils/topic.py
View file @
4e6d1d70
...
...
@@ -122,7 +122,7 @@ class TopicUtils(object):
@classmethod
def
get_recommend_topic_ids
(
cls
,
user_id
,
tag_id
,
offset
,
size
,
single_size
,
query
=
None
,
query_type
=
TopicPageType
.
FIND_PAGE
,
filter_topic_id_list
=
[],
test_score
=
False
,
must_topic_id_list
=
[],
recommend_tag_list
=
[],
user_similar_score_list
=
[],
index_type
=
"topic"
,
routing
=
None
,
attention_tag_list
=
[],
current_topic_id
=-
1
,
topic_tag_list
=
[],
topic_user_id
=-
1
):
user_similar_score_list
=
[],
index_type
=
"topic"
,
routing
=
None
,
attention_tag_list
=
[],
linucb_user_id_list
=
[]
):
"""
:remark:获取首页推荐帖子列表
:param user_id:
...
...
@@ -216,25 +216,7 @@ class TopicUtils(object):
"weight"
:
100
}
)
if
current_topic_id
!=
-
1
:
if
len
(
topic_tag_list
)
>
0
:
functions_list
.
append
(
{
"filter"
:
{
"bool"
:
{
"should"
:
{
"terms"
:
{
"tag_list"
:
topic_tag_list
}}}},
"weight"
:
2000
}
)
if
topic_user_id
!=
-
1
:
functions_list
.
append
(
{
"filter"
:
{
"bool"
:
{
"should"
:
{
"term"
:
{
"user_id"
:
topic_user_id
}}}},
"weight"
:
1500
}
)
query_function_score
=
{
"query"
:
{
"bool"
:
{
...
...
@@ -277,12 +259,14 @@ class TopicUtils(object):
query_function_score
[
"query"
][
"bool"
][
"must_not"
]
=
[
{
"terms"
:{
"id"
:
filter_topic_id_list
}}
]
if
current_topic_id
!=
-
1
:
query_function_score
[
"query"
][
"bool"
][
"must_not"
]
=
[{
"term"
:
{
"id"
:
current_topic_id
}
}]
if
"must_not"
in
query_function_score
[
"query"
][
"bool"
]:
query_function_score
[
"query"
][
"bool"
][
"must_not"
]
+=
[
{
"terms"
:
{
"user_id"
:
linucb_user_id_list
}}
]
else
:
query_function_score
[
"query"
][
"bool"
][
"must_not"
]
=
[
{
"term"
:
{
"user_id"
:
linucb_user_id_list
}}
]
if
query
is
not
None
:
# 搜索帖子
multi_fields
=
{
'description'
:
200
,
...
...
search/views/topic.py
View file @
4e6d1d70
...
...
@@ -87,6 +87,8 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
recommend_topic_dict
=
redis_client
.
hgetall
(
topic_recommend_redis_key
)
if
b
"data"
in
recommend_topic_dict
:
recommend_topic_id_list
=
json
.
loads
(
recommend_topic_dict
[
b
"data"
])
recommend_topic_id_dict
=
json
.
loads
(
recommend_topic_dict
[
b
"datadict"
])
# 推荐帖子是强插的,要保证推荐帖子不在已读里
recommend_topic_id_list
=
list
(
set
(
recommend_topic_id_list
)
-
set
(
have_read_topic_id_list
))
cursor
=
int
(
str
(
recommend_topic_dict
[
b
"cursor"
],
encoding
=
"utf-8"
))
...
...
@@ -95,6 +97,10 @@ def get_home_recommend_topic_ids(user_id, device_id, tag_id, offset, size, query
recommend_topic_list
=
recommend_topic_id_list
[
cursor
:
newcursor
]
redis_client
.
hset
(
topic_recommend_redis_key
,
"cursor"
,
newcursor
)
recommend_topic_user_list
=
list
()
if
len
(
recommend_topic_list
)
==
6
:
for
i
in
recommend_topic_list
:
recommend_topic_user_list
.
append
(
i
.
values
())
# 用户关注标签
redis_tag_data
=
redis_client
.
hget
(
"physical:linucb:register_user_tag_info"
,
user_id
)
attention_tag_list
=
json
.
loads
(
redis_tag_data
)
if
redis_tag_data
else
[]
...
...
@@ -113,7 +119,8 @@ 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
,
index_type
=
"topic-high-star"
,
routing
=
"4,5,6"
,
attention_tag_list
=
attention_tag_list
)
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
,
linucb_user_id_list
=
recommend_topic_user_list
)
if
len
(
recommend_topic_list
)
==
6
and
query
is
None
:
if
(
size
<
11
):
...
...
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