284 lines
11 KiB
Python
284 lines
11 KiB
Python
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# -*- coding: utf-8 -*-
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# This file is auto-generated, don't edit it. Thanks.
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from Tea.core import TeaCore
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from alibabacloud_tea_openapi.client import Client as OpenApiClient
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from alibabacloud_tea_openapi import models as open_api_models
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from alibabacloud_gateway_dingtalk.client import Client as GatewayClientClient
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from alibabacloud_tea_util.client import Client as UtilClient
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from alibabacloud_dingtalk.algo_1_0 import models as dingtalkalgo__1__0_models
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from alibabacloud_tea_util import models as util_models
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from alibabacloud_openapi_util.client import Client as OpenApiUtilClient
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class Client(OpenApiClient):
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"""
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*\
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"""
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def __init__(
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self,
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config: open_api_models.Config,
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):
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super().__init__(config)
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gateway_client = GatewayClientClient()
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self._spi = gateway_client
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self._endpoint_rule = ''
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if UtilClient.empty(self._endpoint):
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self._endpoint = 'api.dingtalk.com'
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def nlp_word_distinguish_with_options(
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self,
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request: dingtalkalgo__1__0_models.NlpWordDistinguishRequest,
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headers: dingtalkalgo__1__0_models.NlpWordDistinguishHeaders,
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runtime: util_models.RuntimeOptions,
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) -> dingtalkalgo__1__0_models.NlpWordDistinguishResponse:
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"""
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@summary 自然语言处理之关键词识别
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@param request: NlpWordDistinguishRequest
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@param headers: NlpWordDistinguishHeaders
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@param runtime: runtime options for this request RuntimeOptions
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@return: NlpWordDistinguishResponse
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"""
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UtilClient.validate_model(request)
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body = {}
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if not UtilClient.is_unset(request.attach_extract_decision_info):
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body['attachExtractDecisionInfo'] = request.attach_extract_decision_info
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if not UtilClient.is_unset(request.isv_app_id):
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body['isvAppId'] = request.isv_app_id
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if not UtilClient.is_unset(request.text):
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body['text'] = request.text
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real_headers = {}
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if not UtilClient.is_unset(headers.common_headers):
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real_headers = headers.common_headers
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if not UtilClient.is_unset(headers.x_acs_dingtalk_access_token):
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real_headers['x-acs-dingtalk-access-token'] = UtilClient.to_jsonstring(headers.x_acs_dingtalk_access_token)
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req = open_api_models.OpenApiRequest(
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headers=real_headers,
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body=OpenApiUtilClient.parse_to_map(body)
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)
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params = open_api_models.Params(
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action='NlpWordDistinguish',
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version='algo_1.0',
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protocol='HTTP',
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pathname=f'/v1.0/algo/okrs/keywords/extract',
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method='POST',
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auth_type='AK',
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style='ROA',
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req_body_type='none',
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body_type='json'
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)
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return TeaCore.from_map(
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dingtalkalgo__1__0_models.NlpWordDistinguishResponse(),
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self.execute(params, req, runtime)
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)
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async def nlp_word_distinguish_with_options_async(
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self,
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request: dingtalkalgo__1__0_models.NlpWordDistinguishRequest,
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headers: dingtalkalgo__1__0_models.NlpWordDistinguishHeaders,
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runtime: util_models.RuntimeOptions,
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) -> dingtalkalgo__1__0_models.NlpWordDistinguishResponse:
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"""
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@summary 自然语言处理之关键词识别
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@param request: NlpWordDistinguishRequest
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@param headers: NlpWordDistinguishHeaders
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@param runtime: runtime options for this request RuntimeOptions
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@return: NlpWordDistinguishResponse
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"""
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UtilClient.validate_model(request)
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body = {}
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if not UtilClient.is_unset(request.attach_extract_decision_info):
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body['attachExtractDecisionInfo'] = request.attach_extract_decision_info
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if not UtilClient.is_unset(request.isv_app_id):
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body['isvAppId'] = request.isv_app_id
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if not UtilClient.is_unset(request.text):
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body['text'] = request.text
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real_headers = {}
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if not UtilClient.is_unset(headers.common_headers):
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real_headers = headers.common_headers
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if not UtilClient.is_unset(headers.x_acs_dingtalk_access_token):
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real_headers['x-acs-dingtalk-access-token'] = UtilClient.to_jsonstring(headers.x_acs_dingtalk_access_token)
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req = open_api_models.OpenApiRequest(
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headers=real_headers,
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body=OpenApiUtilClient.parse_to_map(body)
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)
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params = open_api_models.Params(
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action='NlpWordDistinguish',
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version='algo_1.0',
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protocol='HTTP',
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pathname=f'/v1.0/algo/okrs/keywords/extract',
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method='POST',
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auth_type='AK',
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style='ROA',
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req_body_type='none',
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body_type='json'
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)
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return TeaCore.from_map(
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dingtalkalgo__1__0_models.NlpWordDistinguishResponse(),
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await self.execute_async(params, req, runtime)
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)
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def nlp_word_distinguish(
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self,
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request: dingtalkalgo__1__0_models.NlpWordDistinguishRequest,
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) -> dingtalkalgo__1__0_models.NlpWordDistinguishResponse:
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"""
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@summary 自然语言处理之关键词识别
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@param request: NlpWordDistinguishRequest
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@return: NlpWordDistinguishResponse
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"""
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runtime = util_models.RuntimeOptions()
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headers = dingtalkalgo__1__0_models.NlpWordDistinguishHeaders()
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return self.nlp_word_distinguish_with_options(request, headers, runtime)
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async def nlp_word_distinguish_async(
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self,
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request: dingtalkalgo__1__0_models.NlpWordDistinguishRequest,
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) -> dingtalkalgo__1__0_models.NlpWordDistinguishResponse:
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"""
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@summary 自然语言处理之关键词识别
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@param request: NlpWordDistinguishRequest
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@return: NlpWordDistinguishResponse
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"""
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runtime = util_models.RuntimeOptions()
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headers = dingtalkalgo__1__0_models.NlpWordDistinguishHeaders()
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return await self.nlp_word_distinguish_with_options_async(request, headers, runtime)
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def okr_open_recommend_with_options(
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self,
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request: dingtalkalgo__1__0_models.OkrOpenRecommendRequest,
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headers: dingtalkalgo__1__0_models.OkrOpenRecommendHeaders,
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runtime: util_models.RuntimeOptions,
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) -> dingtalkalgo__1__0_models.OkrOpenRecommendResponse:
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"""
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@summary Okr内容推荐
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@param request: OkrOpenRecommendRequest
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@param headers: OkrOpenRecommendHeaders
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@param runtime: runtime options for this request RuntimeOptions
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@return: OkrOpenRecommendResponse
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"""
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UtilClient.validate_model(request)
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body = {}
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if not UtilClient.is_unset(request.candidate_okr_items):
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body['candidateOkrItems'] = request.candidate_okr_items
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if not UtilClient.is_unset(request.corp_id):
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body['corpId'] = request.corp_id
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if not UtilClient.is_unset(request.dept_ids):
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body['deptIds'] = request.dept_ids
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if not UtilClient.is_unset(request.isv_app_id):
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body['isvAppId'] = request.isv_app_id
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if not UtilClient.is_unset(request.user_id):
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body['userId'] = request.user_id
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if not UtilClient.is_unset(request.words):
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body['words'] = request.words
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real_headers = {}
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if not UtilClient.is_unset(headers.common_headers):
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real_headers = headers.common_headers
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if not UtilClient.is_unset(headers.x_acs_dingtalk_access_token):
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real_headers['x-acs-dingtalk-access-token'] = UtilClient.to_jsonstring(headers.x_acs_dingtalk_access_token)
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req = open_api_models.OpenApiRequest(
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headers=real_headers,
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body=OpenApiUtilClient.parse_to_map(body)
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)
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params = open_api_models.Params(
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action='OkrOpenRecommend',
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version='algo_1.0',
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protocol='HTTP',
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pathname=f'/v1.0/algo/okrs/recommend',
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method='POST',
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auth_type='AK',
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style='ROA',
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req_body_type='none',
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body_type='json'
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)
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return TeaCore.from_map(
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dingtalkalgo__1__0_models.OkrOpenRecommendResponse(),
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self.execute(params, req, runtime)
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)
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async def okr_open_recommend_with_options_async(
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self,
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request: dingtalkalgo__1__0_models.OkrOpenRecommendRequest,
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headers: dingtalkalgo__1__0_models.OkrOpenRecommendHeaders,
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runtime: util_models.RuntimeOptions,
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) -> dingtalkalgo__1__0_models.OkrOpenRecommendResponse:
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"""
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@summary Okr内容推荐
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@param request: OkrOpenRecommendRequest
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@param headers: OkrOpenRecommendHeaders
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@param runtime: runtime options for this request RuntimeOptions
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@return: OkrOpenRecommendResponse
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"""
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UtilClient.validate_model(request)
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body = {}
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if not UtilClient.is_unset(request.candidate_okr_items):
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body['candidateOkrItems'] = request.candidate_okr_items
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if not UtilClient.is_unset(request.corp_id):
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body['corpId'] = request.corp_id
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if not UtilClient.is_unset(request.dept_ids):
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body['deptIds'] = request.dept_ids
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if not UtilClient.is_unset(request.isv_app_id):
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body['isvAppId'] = request.isv_app_id
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if not UtilClient.is_unset(request.user_id):
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body['userId'] = request.user_id
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if not UtilClient.is_unset(request.words):
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body['words'] = request.words
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real_headers = {}
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if not UtilClient.is_unset(headers.common_headers):
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real_headers = headers.common_headers
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if not UtilClient.is_unset(headers.x_acs_dingtalk_access_token):
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real_headers['x-acs-dingtalk-access-token'] = UtilClient.to_jsonstring(headers.x_acs_dingtalk_access_token)
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req = open_api_models.OpenApiRequest(
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headers=real_headers,
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body=OpenApiUtilClient.parse_to_map(body)
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)
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params = open_api_models.Params(
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action='OkrOpenRecommend',
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version='algo_1.0',
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protocol='HTTP',
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pathname=f'/v1.0/algo/okrs/recommend',
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method='POST',
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auth_type='AK',
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style='ROA',
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req_body_type='none',
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body_type='json'
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)
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return TeaCore.from_map(
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dingtalkalgo__1__0_models.OkrOpenRecommendResponse(),
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await self.execute_async(params, req, runtime)
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)
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def okr_open_recommend(
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self,
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request: dingtalkalgo__1__0_models.OkrOpenRecommendRequest,
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) -> dingtalkalgo__1__0_models.OkrOpenRecommendResponse:
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"""
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@summary Okr内容推荐
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@param request: OkrOpenRecommendRequest
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@return: OkrOpenRecommendResponse
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"""
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runtime = util_models.RuntimeOptions()
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headers = dingtalkalgo__1__0_models.OkrOpenRecommendHeaders()
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return self.okr_open_recommend_with_options(request, headers, runtime)
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async def okr_open_recommend_async(
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self,
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request: dingtalkalgo__1__0_models.OkrOpenRecommendRequest,
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) -> dingtalkalgo__1__0_models.OkrOpenRecommendResponse:
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"""
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@summary Okr内容推荐
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@param request: OkrOpenRecommendRequest
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@return: OkrOpenRecommendResponse
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"""
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runtime = util_models.RuntimeOptions()
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headers = dingtalkalgo__1__0_models.OkrOpenRecommendHeaders()
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return await self.okr_open_recommend_with_options_async(request, headers, runtime)
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