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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from gm_rpcd.all import bind
import logging
import traceback
import json
from search.utils.topic import TopicUtils
from libs.es import ESPerform
from libs.cache import redis_client
from search.utils.user import UserUtils
from search.utils.common import *
from libs.es import ESPerform
@bind("physical/search/recommend_user")
def recommend_user(self_user_id, interesting_user_id, offset=0, size=10):
"""
:remark 点关注推荐用户
:param self_user_id:
:param interesting_user_id:
:param offset:
:param size:
:return:
"""
try:
if not isinstance(self_user_id, int):
self_user_id = -1
if not isinstance(interesting_user_id, int):
interesting_user_id = -1
# 获取es链接对象
es_cli_obj = ESPerform.get_cli()
# 获取关注用户列表
(self_attention_user_id_list, recursion_attention_user_id_list) = UserUtils.get_attention_user_list(
[self_user_id, interesting_user_id], self_user_id, es_cli_obj)
# 去除自身及感兴趣的用户ID
self_attention_user_id_list.append(self_user_id)
self_attention_user_id_list.append(interesting_user_id)
recommend_user_list = UserUtils.get_recommend_user_list(self_attention_user_id_list,
recursion_attention_user_id_list, offset, size,
es_cli_obj)
return recommend_user_list
except:
logging.error("catch exception,err_msg:%s" % traceback.format_exc())
return []
@bind("physical/search/batch_recommend_user")
def batch_recommend_user(self_user_id, interesting_user_id_list, offset=0, size=10):
"""
:remark 点关注推荐用户 - 批量接口
:param self_user_id:
:param interesting_user_id:
:param offset:
:param size:
:return:
"""
try:
if not isinstance(self_user_id, int):
self_user_id = -1
# 获取es链接对象
es_cli_obj = ESPerform.get_cli()
# 获取关注用户列表
(need_filter_attention_user_id_list, attention_user_dict_list,
attention_user_id_list) = UserUtils.get_batch_attention_user_list(interesting_user_id_list, self_user_id,
es_cli_obj)
# 去除自身及感兴趣的用户ID
need_filter_attention_user_id_list.append(self_user_id)
recommend_user_dict = UserUtils.get_batch_recommend_user_dict(
need_filter_attention_user_id_list=need_filter_attention_user_id_list,
attention_user_id_list=attention_user_id_list, attention_user_dict_list=attention_user_dict_list,
self_user_id=self_user_id, offset=offset, size=size, es_cli_obj=es_cli_obj)
logging.info("duan add,recommend_user_dict:%s" % str(recommend_user_dict))
return recommend_user_dict
except:
logging.error("catch exception,err_msg:%s" % traceback.format_exc())
return {}
@bind("physical/search/search_user")
def search_user(query="", offset=0, size=10):
"""
:remark 搜索用户
:param query:
:param offset:
:param size:
:return:
搜索域：用户名称
1.识别query：允许模糊匹配
2.召回部分：全部 线上状态用户
3.rank部分：一级-是否推荐，二级-发帖数
"""
try:
es_cli_obj = ESPerform.get_cli()
q = {}
# 先获取完全匹配的用户ID
sheer_user_id = []
q["query"] = {
"bool": {
"must": [
{"term": {
"nick_name_pre": query
}
}, {
"term": {
"is_recommend": True
}
}
]
}
}
q["sort"] = {
"count_topic": {
"order": "desc"
}
}
# que = {"query": {"term": {"nick_name_pre": query}}}
result_dict = ESPerform.get_search_results(es_cli_obj, "user", q, 0, 10)
res = result_dict["hits"]
if len(res) > 0:
sheer_user_id = [item["_source"]["user_id"] for item in res]
logging.info("get res:%s" % res)
# 获取模糊匹配的用户ID
multi_match = {
"fields": ["nick_name"],
"type": "cross_fields",
"operator": "and",
"query": query
}
q = {}
q["query"] = {
"bool": {
"must": [{
"multi_match": multi_match
}, {
"term": {
"is_online": True
}
}
]
}
}
q["sort"] = {
"is_recommend": {
"order": "desc"
},
"count_topic": {
"order": "desc"
},
}
logging.info("get q:%s" % q)
result_dict = ESPerform.get_search_results(es_cli_obj, "user", q, offset, size)
logging.info("get result_dict:%s" % result_dict)
search_user_id = []
res = result_dict["hits"]
if len(res) > 0:
search_user_id = [item["_source"]["user_id"] for item in res]
return {"sheer_user_id": sheer_user_id, "search_user_id": search_user_id}
except:
logging.error("catch exception,err_msg:%s" % traceback.format_exc())
return {"sheer_user_id": [], "search_user_id": []}