import timeit
import json
import logging
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from sementic_server.source.ner_task.semantic_tf_serving import SemanticSearch
from sementic_server.source.intent_extraction.item_matcher import ItemMatcher
from sementic_server.source.ner_task.system_info import SystemInfo
from sementic_server.source.ner_task.account import get_account_sets
from sementic_server.source.qa_graph.query_parser import QueryParser
from sementic_server.source.qa_graph.query_interface import QueryInterface
# 在这里定义在整个程序都会用到的类的实例
semantic = SemanticSearch()
item_matcher = ItemMatcher(new_actree=True)
logger = logging.getLogger("server_log")
@csrf_exempt
def get_result(request):
"""
input: 接收客户端发送的POST请求：{"sentence": "raw_sentence"}
output: 服务器返回JSON格式的数据，返回的数据格式如下：
:param request: 用户输入的查询句子
:return
"""
""" @description: 测试代码 测试账户识别和命名实体识别功能是否正常 @author: Cui Rui long @email: [email protected] @time: 2019-06-05 @version: 0.1.1 """ from sementic_server.source.ner_task.semantic_tf_serving import SemanticSearch from sementic_server.source.ner_task.account import get_account_sets from sementic_server.source.intent_extraction.item_matcher import ItemMatcher from pprint import pprint if __name__ == '__main__': semantic = SemanticSearch(test_mode=True) item_matcher = ItemMatcher(True, is_test=True) while True: sentence = input("please input:") result = item_matcher.match(sentence) result_account = get_account_sets(result["query"]) result_ner = semantic.sentence_ner_entities(result_account) pprint(result_ner)
@version: 0.0.1
"""
import os
from pprint import pprint
import json
from sementic_server.source.qa_graph.query_parser import QueryParser
from sementic_server.source.ner_task.semantic_tf_serving import SemanticSearch
from sementic_server.source.ner_task.account import Account
from sementic_server.source.intent_extraction.item_matcher import ItemMatcher
from sementic_server.source.qa_graph.query_interface import QueryInterface
from sementic_server.source.dependency_parser.dependency_parser import DependencyParser
if __name__ == '__main__':
semantic = SemanticSearch()
item_matcher = ItemMatcher(True)
account = Account()
while True:
sentence = input("please input:")
account_info = account.get_account_labels_info(sentence)
intent = item_matcher.match(sentence, accounts_info=account_info)
result, _ = semantic.sentence_ner_entities(intent)
pprint(result)
entity = result.get('entity') + result.get('accounts')
relation = result.get('relation')
intention = result.get('intent')
if len(result.get("entity") + result.get("accounts")) == 0:
print({"query": sentence, "error": "实体识别模块返回空值"})
continue
"""
from sementic_server.source.intent_extraction.item_matcher import ItemMatcher
from sementic_server.source.qa_graph.query_parser import QueryParser
from sementic_server.source.qa_graph.query_interface import QueryInterface
from sementic_server.source.dependency_parser.dependency_parser import DependencyParser
from sementic_server.source.recommend.recommend_server import RecommendServer
# 定义整体服务用到的日志文件
logger = logging.getLogger("server_log")
recommend_logger = logging.getLogger("recommend_log")
correction_logger = logging.getLogger("correction_log")
correction_behavior_logger = logging.getLogger("correction_behavior_log")
# 在这里定义在整个程序都会用到的类的实例
account_model = Account()
semantic = SemanticSearch()
item_matcher = ItemMatcher(
loggers=[correction_logger, correction_behavior_logger], new_actree=True)
dependency_parser = DependencyParser()
recommend_server = RecommendServer(recommend_logger)
def account_recognition(sentence):
"""
账号识别模块调用
:param sentence:
:return:
"""
logger.info("Account Recognition model...")
t_account = timeit.default_timer()
accounts_info = account_model.get_account_labels_info(sentence)
logger.info(accounts_info)
logger.info("Account Recognition model done. Time consume: {0}".format(