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ffm-baseline
Commit 15d78c15 authored by 张彦钊's avatar 张彦钊
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ai_test.py
View file @ 15d78c15
...@@ -2,13 +2,23 @@ ...@@ -2,13 +2,23 @@
import json import json
import requests import requests
# url="http://127.0.0.1:4050/v1/once" # url="http://127.0.0.1:4050/v1/once"
url="http://doris.paas.test/v1/once" url="http://doris.paas-test.env/v1/once"
# 如果在生产环境doris 01上执行，把url改成"http://127.0.0.1:4050/v1/once" # 如果在生产环境doris 01上执行，把url改成"http://127.0.0.1:4050/v1/once"
header_dict={'Content-Type': 'application/x-www-form-urlencoded'} header_dict={'Content-Type': 'application/x-www-form-urlencoded'}
param_dict={} param_dict={}
param_dict["method"]="doris/search/bangdan" param_dict["method"]="doris/search/spu_sku"
param_detail = {"device_id":"1","size":20,"user_city_tag_id":328,"offset":0,"is_officer":False,"unit_ids":[]} param_detail = {"device_id":"3ab", "size":10,"offset":0,"user_city_tag_id":328,"recall_type":2,"unit_id":4,"sort_params":{"lat":0,"lng":0},"tag_ids":[993, 971, 5, 41, 759, 47, 821],"filters":{"tag_ids":[971]}}
# 美购首页活动美购
# param_dict["method"]="doris/search/activity"
# param_detail = {"device_id":"hello","promotion_id":342,"user_city_tag_id":328,"size":10}
# param_dict["method"]="doris/search/doctor_officer"
# param_detail = {"device_id":"hello","size":10,"user_city_tag_id":328,"offset":0,"is_officer":False,
# "filters":{},"query":"连喜艳"}
param_dict["params"]=json.dumps(param_detail) param_dict["params"]=json.dumps(param_detail)
......
doctor.json 0 → 100644
View file @ 15d78c15
{
"dynamic":"strict",
"properties": {
"id":{"type":"string","index":"not_analyzed"},
"name":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search"},
"name_highlight":{"type":"string","analyzer":"gm_default_index","search_analyzer":"gm_default_search"}, //用来高亮显示
"name_raw":{"type":"string","index":"not_analyzed"}, //医生名字(未分词)用于精确匹配
"is_online":{"type":"boolean"},
"doctor_type":{"type":"string","index":"not_analyzed"}, //医生类型
"is_authenticated":{"type":"boolean"}, //是否认证(绑定手机号)
"accept_private_msg":{"type":"boolean"}, //是否接受私信
"famous_doctor":{"type":"boolean","null_value":false}, //是否名医
"ticket_sink_start_time":{ //罚单下沉起始时间
"type": "date",
"format": "date_time_no_millis"
},
"ticket_sink_end_time":{ //罚单下沉终止时间
"type": "date",
"format": "date_time_no_millis"
},
// 机构罚单
"org_sink_start_time":{"type":"date","format":"date_time_no_millis"}, //开始时间
"org_sink_end_time":{"type":"date","format":"date_time_no_millis"}, //结束时间
"hospital":{
"type":"object",
"properties":{
"id":{"type":"string","index":"not_analyzed"},
"name":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search"}, //医院名
"name_highlight":{"type":"string","analyzer":"gm_default_index","search_analyzer":"gm_default_search"}, //用来高亮显示
"officer_name":{"type":"string","analyzer":"gm_default_index","search_analyzer":"gm_default_search"}, //机构管理者名称
"hospital_type":{"type":"string","index":"not_analyzed"}, //医院类型, 0公立, 1民营
"city_name":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search"}, //城市名
"city_tag_id":{"type":"long"}, //城市tag id
"city_province_name":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search"}, //省份名
"city_province_tag_id":{"type":"long"}, //省份tag id
"city_province_country_tag_id":{"type":"long"}, //国家tagID
"doctor_names":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search"} //医院下所有医生名
}
},
"problems":{
"type":"nested",
"properties":{
"id":{"type":"long"},
"tags":{"type":"string","analyzer":"gm_default_index","search_analyzer":"gm_default_search"}
}
},
"services":{ //直接关联的services
"type":"nested",
"properties":{
"id":{"type":"long"},
"name":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search","omit_norms":true}, //名字
"short_description":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search","omit_norms":true}, //一句话描述
"short_description_highlight":{"type":"string","analyzer":"gm_default_index","search_analyzer":"gm_default_search","omit_norms":true}, //用来高亮显示
"all_text":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search"},// 把美购名称、描述、closure_tags、sku名称拼接到这个字段，方便搜索
"is_can_be_sold":{"type":"boolean"}, //[DEPRECATED]是否在售
"doctor_score":{"type":"double"}, // 该美购所属的医生整体得分*70%+品类得分*30%+CPC
"doctor_score_v1":{"type":"double"}, // 该美购所属的医生整体得分*70%+品类得分*30%
"start_time":{"type":"date","format":"date_time_no_millis"}, //开始时间
"end_time":{"type":"date","format":"date_time_no_millis"}, //结束时间
"special_ids":{"type":"long", "index":"not_analyzed"} //属于哪些专题
}
},
"doctor_score": {"type": "double"}, // 医生或医院的综合分：ctr开根号*（单pv佣金贡献+单pv广告消耗）
"cpc_doctor_score": {"type": "double"}, // doctor_score映射成0到100，然后加上cpc
"is_cpc":{"type":"boolean"},
"is_sink":{"type":"boolean"},
"closure_tag_ids":{"type":"long"}, //tag id闭包
"service_closure_tag_ids":{"type":"long"}, //对于医生 是所有关联美购的tag 对于机构管理者 是所关联医院下的所有医生的所有关联美购的tag
"service_closure_tags":{"type":"string","analyzer":"gm_ngram_index","search_analyzer":"gm_default_search","index_options":"offsets"},
"advertise_position":{"type":"string", "index":"not_analyzed"}, //广告位置 用于加速过滤
"advertise_searchwords":{"type":"string", "index":"not_analyzed"}, //所有搜索词 用于加速过滤
"advertise_tag_ids":{"type":"long"}, //广告过滤tagID
"advertise_info":{ //广告具体信息
"type":"object",
"enabled":false,
"properties":{
"id":{"type":"long"}, //ID
"position":{"type":"string", "index":"not_analyzed"}, //list of 位置
"start_time_epoch":{"type": "long"}, //开始时间
"end_time_epoch":{"type": "long"}, //结束时间
"searchwords":{"type":"string", "index":"not_analyzed"}, //搜索词(如果有)
"ordering":{"type":"long"}
}
},
"last_30d_payment":{"type": "double"},
"last_30d_ad_money":{"type": "double"},
"ctr":{"type": "double"}, // CTR指数
"xiadan_index":{"type": "double"}, // 下单指数
"last_30d_uv":{"type": "double"},
"rank_score": {"type": "double"},
"nearby_city_tag_ids": {"type": "double"},
"merchant_id": {"type": "string", "index":"not_analyzed"},
"merchant_level":{"type":"long"},
"user_id":{"type":"long"} //用户ID
}
}
sort_key.py 0 → 100644
View file @ 15d78c15
import redis
import json
tag_key = "icon_city_sort"
tag_value = dict()
T1 = [328,592,409]
T2 = [604,352,675,662,343,542,425,359,744,493]
T3 = [430,538,603,376,623,670,550,660,400,674,606,395,382,543,572,468,638,412]
tag_value["t1_city"] = T1
tag_value["t2_city"] = T2
tag_value["t3_city"] = T3
boniaosuan = [97,99,115,121,123,137,141,152,197,200,203,243,776,777,804,868,885,954,1055,6148]
chuzhoushoulian = [79, 117, 168, 205, 207, 237, 798, 842, 1801, 2033, 5077, 6148]
bibu = [2929, 9123, 8627, 2925, 2924, 2927, 2926, 115, 114, 116, 111, 110, 8464, 112, 234, 253, 7977, 9027, 232, 233, 797, 796, 26, 21, 22, 23, 106, 7151, 798, 9069, 2, 810, 24, 9063, 896, 897, 8394, 8773, 2073, 108, 109, 3285, 9047, 107, 105, 965, 966, 3038, 782, 7993, 803, 804, 806, 805, 65]
yanbu = [2923, 91, 88, 89, 64, 9012, 9050, 6163, 5057, 86, 87, 85, 975, 8865, 780, 878, 790, 953, 3459, 1, 92, 890, 2429, 777, 102, 90, 101, 95, 3050, 964, 6138, 15, 17, 19, 18, 3037, 940, 2417]
mianbulunkuo = [766, 7823, 130, 3001, 6146, 235, 81, 5060, 46, 45, 28, 29, 819, 3, 812, 813, 815, 817, 142, 143, 898, 899, 2932, 1136, 122, 124, 126, 127, 128, 129, 869, 900, 967, 30, 968, 969]
zhifangtianchong = [153, 198, 114, 7117, 136, 135, 886, 793, 875, 933, 201, 204, 140, 1233, 120, 98, 241, 125, 102, 225, 1024, 244, 805]
meitishoushen = [213, 982, 986, 985, 131, 8681, 238, 239, 252, 236, 237, 230, 118, 836, 837, 8989, 4, 811, 1017, 911, 774, 9048, 240, 229, 224, 223, 221, 38, 906, 842, 841, 840, 909]
kouqiangchike = [2459, 154, 157, 156, 2455, 2454, 2456, 2451, 2450, 2453, 155, 5070, 255, 854, 856, 851, 852, 159, 158, 917, 761, 2460, 7809, 7129, 11, 861, 860, 57, 53]
kangshuaijinzhi = [199, 198, 2866, 197, 196, 5073, 6163, 6148, 872, 873, 5, 933, 931, 930, 201, 200, 203, 202, 205, 204, 207, 206, 244, 246, 243, 8000, 79, 787, 3039, 1801, 928, 2352, 824, 922, 2063, 926, 822]
yixuemeifu = [5065, 199, 2866, 196, 192, 3049, 258, 1387, 6147, 6943, 2942, 2941, 835, 2059, 47, 1966, 2939, 872, 41, 919, 187, 186, 5, 930, 7554, 775, 5067, 202, 2938, 206, 2936, 2937, 2935, 5068, 242, 246, 2072, 1992, 1703, 35, 928, 2108, 829, 825, 824, 827, 912, 822]
simi = [217, 768, 767, 218, 7175, 7177, 7176, 67, 2946, 7179, 7178, 959, 7091, 955, 6684, 4282, 165, 166, 167, 161, 162, 163, 10, 960, 4870]
zhifatuomao = [865, 2054, 983, 8059, 37, 36, 2947, 181, 2663, 9, 175, 251, 6338, 80, 171, 8548]
xiaba = [784, 46, 130, 819, 131, 123, 124, 125, 126, 127, 128, 129, 252]
chunbu = [903, 12, 907, 904, 150, 1204, 863, 864, 2497, 149, 181, 134, 52, 31, 816]
shibaixiufu = [964, 965, 967, 210, 878, 2429, 968, 969, 971, 64, 65, 70, 82, 869, 81, 2950, 2951]
banyongjiu = [2954, 1370, 1114, 2054, 1080]
xiongbu = [7,66,69,70,210,212,220,241,785,870,871,954,2354,5724,6144,6145,8710]
rule = {"t1_"+str(sorted(boniaosuan)):1,
"t2_"+str(sorted(boniaosuan)):1,
"t3_"+str(sorted(boniaosuan)):2,
"t4_"+str(sorted(boniaosuan)):3,
"t1_"+str(sorted(chuzhoushoulian)):1,
"t2_"+str(sorted(chuzhoushoulian)):1,
"t3_"+str(sorted(chuzhoushoulian)):2,
"t4_"+str(sorted(chuzhoushoulian)):3,
"t1_"+str(sorted(bibu)):1,
"t2_"+str(sorted(bibu)):2,
"t3_"+str(sorted(bibu)):3,
"t4_"+str(sorted(bibu)):3,
"t1_"+str(sorted(yanbu)):1,
"t2_"+str(sorted(yanbu)):2,
"t3_"+str(sorted(yanbu)):3,
"t4_"+str(sorted(yanbu)):3,
"t1_"+str(sorted(mianbulunkuo)):1,
"t2_"+str(sorted(mianbulunkuo)):2,
"t3_"+str(sorted(mianbulunkuo)):3,
"t4_"+str(sorted(mianbulunkuo)):3,
"t1_"+str(sorted(zhifangtianchong)):1,
"t2_"+str(sorted(zhifangtianchong)):2,
"t3_"+str(sorted(zhifangtianchong)):3,
"t4_"+str(sorted(zhifangtianchong)):3,
"t1_" + str(sorted(meitishoushen)): 1,
"t2_" + str(sorted(meitishoushen)): 2,
"t3_" + str(sorted(meitishoushen)): 3,
"t4_" + str(sorted(meitishoushen)): 3,
"t1_" + str(sorted(kouqiangchike)): 1,
"t2_" + str(sorted(kouqiangchike)): 1,
"t3_" + str(sorted(kouqiangchike)): 2,
"t4_" + str(sorted(kouqiangchike)): 2,
"t1_" + str(sorted(kangshuaijinzhi)): 1,
"t2_" + str(sorted(kangshuaijinzhi)): 2,
"t3_" + str(sorted(kangshuaijinzhi)): 3,
"t4_" + str(sorted(kangshuaijinzhi)): 3,
"t1_" + str(sorted(yixuemeifu)): 1,
"t2_" + str(sorted(yixuemeifu)): 1,
"t3_" + str(sorted(yixuemeifu)): 2,
"t4_" + str(sorted(yixuemeifu)): 2,
"t1_" + str(sorted(simi)): 1,
"t2_" + str(sorted(simi)): 1,
"t3_" + str(sorted(simi)): 2,
"t4_" + str(sorted(simi)): 3,
"t1_" + str(sorted(zhifatuomao)): 1,
"t2_" + str(sorted(zhifatuomao)): 2,
"t3_" + str(sorted(zhifatuomao)): 3,
"t4_" + str(sorted(zhifatuomao)): 3,
"t1_" + str(sorted(xiaba)): 1,
"t2_" + str(sorted(xiaba)): 2,
"t3_" + str(sorted(xiaba)): 3,
"t4_" + str(sorted(xiaba)): 3,
"t1_" + str(sorted(shibaixiufu)): 1,
"t2_" + str(sorted(shibaixiufu)): 2,
"t3_" + str(sorted(shibaixiufu)): 4,
"t4_" + str(sorted(shibaixiufu)): 5,
"t1_" + str(sorted(banyongjiu)): 1,
"t2_" + str(sorted(banyongjiu)): 1,
"t3_" + str(sorted(banyongjiu)): 2,
"t4_" + str(sorted(banyongjiu)): 3,
"t1_" + str(sorted(xiongbu)): 1,
"t2_" + str(sorted(xiongbu)): 2,
"t3_" + str(sorted(xiongbu)): 3,
"t4_" + str(sorted(xiongbu)): 3
}
tag_value["sort_rule"] = rule
r = redis.StrictRedis.from_url('redis://:ReDis!GmTx*0aN6@172.16.40.133:6379')
r.hmset("name",aa)
\ No newline at end of file
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