提高政府网站建设水平上海自媒体推广

一、环境准备

# 准备python环境
conda create -n opensearch
conda activate opensearch# 安装必要的包
pip install alibabacloud_tea_util
pip install alibabacloud_opensearch_util
pip install alibabacloud_credentials

二、阿里云opensearch准备

1、产品文档

新手指引：三步搭建智能问答机器人

需要购买LLM智能问答版的实例。
准备好accesskey、secret、API Key

2、准备我们的数据

3、上传文件

三、对接

1、对接文本问答

# -*- coding: utf-8 -*-import time
from typing import Dict, Anyfrom Tea.core import TeaCore
from Tea.exceptions import TeaException, UnretryableException
from Tea.model import TeaModel
from Tea.request import TeaRequest
from alibabacloud_credentials import models as credential_models
from alibabacloud_credentials.client import Client as CredentialClient
from alibabacloud_opensearch_util.opensearch_util import OpensearchUtil
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClientclass Config(TeaModel):"""Config用于配置环境相关参数信息."""def __init__(self,endpoint: str = None,protocol: str = None,type: str = None,security_token: str = None,access_key_id: str = None,access_key_secret: str = None,user_agent: str = "",):self.endpoint = endpointself.protocol = protocolself.type = typeself.security_token = security_tokenself.access_key_id = access_key_idself.access_key_secret = access_key_secretself.user_agent = user_agentclass Client:"""OpensearchClient用于 opensearch Client 请求 参数组装及发送请求."""_endpoint: str = None_protocol: str = None_user_agent: str = None_credential: CredentialClient = Nonedef __init__(self,config: Config,):if UtilClient.is_unset(config):raise TeaException({'name': 'ParameterMissing','message': "'config' can not be unset"})if UtilClient.empty(config.type):config.type = 'access_key'credential_config = credential_models.Config(access_key_id=config.access_key_id,type=config.type,access_key_secret=config.access_key_secret,security_token=config.security_token)self._credential = CredentialClient(credential_config)self._endpoint = config.endpointself._protocol = config.protocolself._user_agent = config.user_agentdef _request(self,method: str,pathname: str,query: Dict[str, Any],headers: Dict[str, str],body: Any,runtime: util_models.RuntimeOptions,) -> Dict[str, Any]:"""执行 TeaRequest .:param request: TeaRequest:param runtime: util_models.RuntimeOptions:return: Dict[str, Any]"""runtime.validate()_runtime = {'timeouted': 'retry','readTimeout': runtime.read_timeout,'connectTimeout': runtime.connect_timeout,'httpProxy': runtime.http_proxy,'httpsProxy': runtime.https_proxy,'noProxy': runtime.no_proxy,'maxIdleConns': runtime.max_idle_conns,'retry': {'retryable': runtime.autoretry,'maxAttempts': UtilClient.default_number(runtime.max_attempts, 3)},'backoff': {'policy': UtilClient.default_string(runtime.backoff_policy, 'no'),'period': UtilClient.default_number(runtime.backoff_period, 1)},'ignoreSSL': runtime.ignore_ssl}_last_request = None_last_exception = None_now = time.time()_retry_times = 0while TeaCore.allow_retry(_runtime.get('retry'), _retry_times, _now):if _retry_times > 0:_backoff_time = TeaCore.get_backoff_time(_runtime.get('backoff'), _retry_times)if _backoff_time > 0:TeaCore.sleep(_backoff_time)_retry_times = _retry_times + 1try:_request = TeaRequest()accesskey_id = self._credential.get_access_key_id()access_key_secret = self._credential.get_access_key_secret()security_token = self._credential.get_security_token()_request.protocol = UtilClient.default_string(self._protocol, 'HTTP')_request.method = method_request.pathname = pathname_request.headers = TeaCore.merge({'user-agent': UtilClient.get_user_agent(self._user_agent),'Content-Type': 'application/json','Date': OpensearchUtil.get_date(),'host': UtilClient.default_string(self._endpoint, f'opensearch-cn-hangzhou.aliyuncs.com'),'X-Opensearch-Nonce': UtilClient.get_nonce()}, headers)if not UtilClient.is_unset(query):_request.query = UtilClient.stringify_map_value(query)if not UtilClient.is_unset(body):req_body = UtilClient.to_jsonstring(body)_request.headers['Content-MD5'] = OpensearchUtil.get_content_md5(req_body)_request.body = req_bodyif not UtilClient.is_unset(security_token):_request.headers["X-Opensearch-Security-Token"] = security_token_request.headers['Authorization'] = OpensearchUtil.get_signature(_request, accesskey_id,access_key_secret)_last_request = _request_response = TeaCore.do_action(_request, _runtime)obj_str = UtilClient.read_as_string(_response.body)if UtilClient.is_4xx(_response.status_code) or UtilClient.is_5xx(_response.status_code):raise TeaException({'message': _response.status_message,'data': obj_str,'code': _response.status_code})obj = UtilClient.parse_json(obj_str)res = UtilClient.assert_as_map(obj)return {'body': res,'headers': _response.headers}except TeaException as e:if TeaCore.is_retryable(e):_last_exception = econtinueraise eraise UnretryableException(_last_request, _last_exception)

# -*- coding: utf-8 -*-import time, os
from typing import Dict, Anyfrom Tea.exceptions import TeaException
from Tea.request import TeaRequest
from alibabacloud_tea_util import models as util_models
from BaseRequest import Config, Clientclass LLMSearch:def __init__(self, config: Config):self.Clients = Client(config=config)self.runtime = util_models.RuntimeOptions(connect_timeout=10000,read_timeout=90000,autoretry=False,ignore_ssl=False,max_idle_conns=50,max_attempts=3)self.header = {}def searchDoc(self, app_name: str, body: Dict, query_params: dict = {}) -> Dict[str, Any]:try:response = self.Clients._request(method="POST",pathname=f'/v3/openapi/apps/{app_name}/actions/knowledge-search',query=query_params, headers=self.header, body=body, runtime=self.runtime)return responseexcept TeaException as e:print(e)if __name__ == "__main__":# 配置统一的请求入口和  需要去掉http://endpoint = "xxxxx-wm3.opensearch-cn-shanghai.aliyuncs.com"# 支持 protocol 配置 HTTPS/HTTPendpoint_protocol = "HTTP"# 用户识别信息# 从环境变量读取配置的AccessKey ID和AccessKey Secret，# 运行代码示例前必须先配置环境变量，参考文档上面“配置环境变量”步骤#access_key_id = os.environ.get("ALIBABA_CLOUD_ACCESS_KEY_ID")#access_key_secret = os.environ.get("ALIBABA_CLOUD_ACCESS_KEY_SECRET")access_key_id = 'xxxxx'access_key_secret = 'xxxxx'# 支持 type 配置 sts/access_key 鉴权. 其中 type 默认为 access_key 鉴权. 使用 sts 可配置 RAM-STS 鉴权.# 备选参数为:  sts 或者 access_keyauth_type = "access_key"# 如果使用 RAM-STS 鉴权, 请配置 security_token, 可使用 阿里云 AssumeRole 获取 相关 STS 鉴权结构.security_token = "OS-xxxxx"# 配置请求使用的通用信息.# type和security_token 参数如果不是子账号，需要省略Configs = Config(endpoint=endpoint, access_key_id=access_key_id, access_key_secret=access_key_secret,security_token=security_token, type=auth_type, protocol=endpoint_protocol)# 创建 opensearch 实例# 请将<应用名称>替换为您创建的智能问答版实例名称ops = LLMSearch(Configs)app_name = "test"# --------------- 文档搜索 ---------------docQuery = {"question": {"text": "袜子怎么卖的",  # 用户问题#"session" : "对话的session，设置了之后，会有多轮对话的功能","type": "TEXT"}}res1 = ops.searchDoc(app_name=app_name, body=docQuery)r2 = dict(res1.get('body')).get('result').get('data')[0].get('answer')res = r2print(res)