# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. from Tea.model import TeaModel from typing import List, Dict class RetrievalExtendParamsValueSourceUserParams(TeaModel): def __init__( self, nick: str = None, staff_id: str = None, ): self.nick = nick self.staff_id = staff_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.nick is not None: result['nick'] = self.nick if self.staff_id is not None: result['staffId'] = self.staff_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('nick') is not None: self.nick = m.get('nick') if m.get('staffId') is not None: self.staff_id = m.get('staffId') return self class RetrievalExtendParamsValueTargetUserParams(TeaModel): def __init__( self, nick: str = None, staff_id: str = None, ): self.nick = nick self.staff_id = staff_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.nick is not None: result['nick'] = self.nick if self.staff_id is not None: result['staffId'] = self.staff_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('nick') is not None: self.nick = m.get('nick') if m.get('staffId') is not None: self.staff_id = m.get('staffId') return self class RetrievalExtendParamsValue(TeaModel): def __init__( self, start_time: int = None, end_time: int = None, keywords: List[str] = None, source_user_params: List[RetrievalExtendParamsValueSourceUserParams] = None, target_user_params: List[RetrievalExtendParamsValueTargetUserParams] = None, ): self.start_time = start_time self.end_time = end_time self.keywords = keywords self.source_user_params = source_user_params self.target_user_params = target_user_params def validate(self): if self.source_user_params: for k in self.source_user_params: if k: k.validate() if self.target_user_params: for k in self.target_user_params: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.start_time is not None: result['startTime'] = self.start_time if self.end_time is not None: result['endTime'] = self.end_time if self.keywords is not None: result['keywords'] = self.keywords result['sourceUserParams'] = [] if self.source_user_params is not None: for k in self.source_user_params: result['sourceUserParams'].append(k.to_map() if k else None) result['targetUserParams'] = [] if self.target_user_params is not None: for k in self.target_user_params: result['targetUserParams'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('startTime') is not None: self.start_time = m.get('startTime') if m.get('endTime') is not None: self.end_time = m.get('endTime') if m.get('keywords') is not None: self.keywords = m.get('keywords') self.source_user_params = [] if m.get('sourceUserParams') is not None: for k in m.get('sourceUserParams'): temp_model = RetrievalExtendParamsValueSourceUserParams() self.source_user_params.append(temp_model.from_map(k)) self.target_user_params = [] if m.get('targetUserParams') is not None: for k in m.get('targetUserParams'): temp_model = RetrievalExtendParamsValueTargetUserParams() self.target_user_params.append(temp_model.from_map(k)) return self class FetchLoginStatusDevicesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class FetchLoginStatusDevicesRequest(TeaModel): def __init__( self, domain: str = None, user_id_list: List[str] = None, ): # This parameter is required. self.domain = domain # This parameter is required. self.user_id_list = user_id_list def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.domain is not None: result['domain'] = self.domain if self.user_id_list is not None: result['userIdList'] = self.user_id_list return result def from_map(self, m: dict = None): m = m or dict() if m.get('domain') is not None: self.domain = m.get('domain') if m.get('userIdList') is not None: self.user_id_list = m.get('userIdList') return self class FetchLoginStatusDevicesResponseBodyResultDeviceList(TeaModel): def __init__( self, action_timestamp: int = None, client_type: str = None, is_logged_in: bool = None, open_device_id: str = None, ): self.action_timestamp = action_timestamp self.client_type = client_type self.is_logged_in = is_logged_in self.open_device_id = open_device_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.action_timestamp is not None: result['actionTimestamp'] = self.action_timestamp if self.client_type is not None: result['clientType'] = self.client_type if self.is_logged_in is not None: result['isLoggedIn'] = self.is_logged_in if self.open_device_id is not None: result['openDeviceId'] = self.open_device_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('actionTimestamp') is not None: self.action_timestamp = m.get('actionTimestamp') if m.get('clientType') is not None: self.client_type = m.get('clientType') if m.get('isLoggedIn') is not None: self.is_logged_in = m.get('isLoggedIn') if m.get('openDeviceId') is not None: self.open_device_id = m.get('openDeviceId') return self class FetchLoginStatusDevicesResponseBodyResult(TeaModel): def __init__( self, device_list: List[FetchLoginStatusDevicesResponseBodyResultDeviceList] = None, user_id: str = None, ): self.device_list = device_list self.user_id = user_id def validate(self): if self.device_list: for k in self.device_list: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['deviceList'] = [] if self.device_list is not None: for k in self.device_list: result['deviceList'].append(k.to_map() if k else None) if self.user_id is not None: result['userId'] = self.user_id return result def from_map(self, m: dict = None): m = m or dict() self.device_list = [] if m.get('deviceList') is not None: for k in m.get('deviceList'): temp_model = FetchLoginStatusDevicesResponseBodyResultDeviceList() self.device_list.append(temp_model.from_map(k)) if m.get('userId') is not None: self.user_id = m.get('userId') return self class FetchLoginStatusDevicesResponseBody(TeaModel): def __init__( self, error_code: str = None, error_msg: str = None, result: List[FetchLoginStatusDevicesResponseBodyResult] = None, success: bool = None, ): self.error_code = error_code self.error_msg = error_msg self.result = result self.success = success def validate(self): if self.result: for k in self.result: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.error_code is not None: result['errorCode'] = self.error_code if self.error_msg is not None: result['errorMsg'] = self.error_msg result['result'] = [] if self.result is not None: for k in self.result: result['result'].append(k.to_map() if k else None) if self.success is not None: result['success'] = self.success return result def from_map(self, m: dict = None): m = m or dict() if m.get('errorCode') is not None: self.error_code = m.get('errorCode') if m.get('errorMsg') is not None: self.error_msg = m.get('errorMsg') self.result = [] if m.get('result') is not None: for k in m.get('result'): temp_model = FetchLoginStatusDevicesResponseBodyResult() self.result.append(temp_model.from_map(k)) if m.get('success') is not None: self.success = m.get('success') return self class FetchLoginStatusDevicesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, status_code: int = None, body: FetchLoginStatusDevicesResponseBody = None, ): self.headers = headers self.status_code = status_code self.body = body def validate(self): if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.status_code is not None: result['statusCode'] = self.status_code if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('statusCode') is not None: self.status_code = m.get('statusCode') if m.get('body') is not None: temp_model = FetchLoginStatusDevicesResponseBody() self.body = temp_model.from_map(m['body']) return self class GetAiTaskResultHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetAiTaskResultRequest(TeaModel): def __init__( self, task_id: str = None, ): self.task_id = task_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.task_id is not None: result['taskId'] = self.task_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('taskId') is not None: self.task_id = m.get('taskId') return self class GetAiTaskResultResponseBody(TeaModel): def __init__( self, content: str = None, content_type: str = None, error_code: str = None, error_msg: str = None, success: bool = None, ): self.content = content self.content_type = content_type self.error_code = error_code self.error_msg = error_msg self.success = success def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.content is not None: result['content'] = self.content if self.content_type is not None: result['contentType'] = self.content_type if self.error_code is not None: result['errorCode'] = self.error_code if self.error_msg is not None: result['errorMsg'] = self.error_msg if self.success is not None: result['success'] = self.success return result def from_map(self, m: dict = None): m = m or dict() if m.get('content') is not None: self.content = m.get('content') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('errorCode') is not None: self.error_code = m.get('errorCode') if m.get('errorMsg') is not None: self.error_msg = m.get('errorMsg') if m.get('success') is not None: self.success = m.get('success') return self class GetAiTaskResultResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, status_code: int = None, body: GetAiTaskResultResponseBody = None, ): self.headers = headers self.status_code = status_code self.body = body def validate(self): if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.status_code is not None: result['statusCode'] = self.status_code if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('statusCode') is not None: self.status_code = m.get('statusCode') if m.get('body') is not None: temp_model = GetAiTaskResultResponseBody() self.body = temp_model.from_map(m['body']) return self class RetrieveHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class RetrieveRequestDragRequestContextEvaluationContext(TeaModel): def __init__( self, source_dentry_id: str = None, ): self.source_dentry_id = source_dentry_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.source_dentry_id is not None: result['sourceDentryId'] = self.source_dentry_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('sourceDentryId') is not None: self.source_dentry_id = m.get('sourceDentryId') return self class RetrieveRequestDragRequestContext(TeaModel): def __init__( self, evaluation_context: RetrieveRequestDragRequestContextEvaluationContext = None, ): self.evaluation_context = evaluation_context def validate(self): if self.evaluation_context: self.evaluation_context.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.evaluation_context is not None: result['evaluationContext'] = self.evaluation_context.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('evaluationContext') is not None: temp_model = RetrieveRequestDragRequestContextEvaluationContext() self.evaluation_context = temp_model.from_map(m['evaluationContext']) return self class RetrieveRequest(TeaModel): def __init__( self, answerer: str = None, drag_request_context: RetrieveRequestDragRequestContext = None, keyword_list: List[str] = None, limit: int = None, question: str = None, retrieval_extend_params: Dict[str, RetrievalExtendParamsValue] = None, retrieve_score_threshold: float = None, scene: str = None, tenant: str = None, token_limit: int = None, ): # This parameter is required. self.answerer = answerer self.drag_request_context = drag_request_context self.keyword_list = keyword_list # This parameter is required. self.limit = limit # This parameter is required. self.question = question # This parameter is required. self.retrieval_extend_params = retrieval_extend_params self.retrieve_score_threshold = retrieve_score_threshold # This parameter is required. self.scene = scene # This parameter is required. self.tenant = tenant self.token_limit = token_limit def validate(self): if self.drag_request_context: self.drag_request_context.validate() if self.retrieval_extend_params: for v in self.retrieval_extend_params.values(): if v: v.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.answerer is not None: result['answerer'] = self.answerer if self.drag_request_context is not None: result['dragRequestContext'] = self.drag_request_context.to_map() if self.keyword_list is not None: result['keywordList'] = self.keyword_list if self.limit is not None: result['limit'] = self.limit if self.question is not None: result['question'] = self.question result['retrievalExtendParams'] = {} if self.retrieval_extend_params is not None: for k, v in self.retrieval_extend_params.items(): result['retrievalExtendParams'][k] = v.to_map() if self.retrieve_score_threshold is not None: result['retrieveScoreThreshold'] = self.retrieve_score_threshold if self.scene is not None: result['scene'] = self.scene if self.tenant is not None: result['tenant'] = self.tenant if self.token_limit is not None: result['tokenLimit'] = self.token_limit return result def from_map(self, m: dict = None): m = m or dict() if m.get('answerer') is not None: self.answerer = m.get('answerer') if m.get('dragRequestContext') is not None: temp_model = RetrieveRequestDragRequestContext() self.drag_request_context = temp_model.from_map(m['dragRequestContext']) if m.get('keywordList') is not None: self.keyword_list = m.get('keywordList') if m.get('limit') is not None: self.limit = m.get('limit') if m.get('question') is not None: self.question = m.get('question') self.retrieval_extend_params = {} if m.get('retrievalExtendParams') is not None: for k, v in m.get('retrievalExtendParams').items(): temp_model = RetrievalExtendParamsValue() self.retrieval_extend_params[k] = temp_model.from_map(v) if m.get('retrieveScoreThreshold') is not None: self.retrieve_score_threshold = m.get('retrieveScoreThreshold') if m.get('scene') is not None: self.scene = m.get('scene') if m.get('tenant') is not None: self.tenant = m.get('tenant') if m.get('tokenLimit') is not None: self.token_limit = m.get('tokenLimit') return self class RetrieveResponseBodyResultCalendarsScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultCalendars(TeaModel): def __init__( self, creator_staff_id: int = None, end_time: int = None, gmt_create: int = None, gmt_modified: int = None, icon: str = None, match_intimacy: bool = None, material: str = None, meeting_room: str = None, participant_staff_ids: List[str] = None, raw_comment: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultCalendarsScoreItem = None, start_time: int = None, timestamp: int = None, title: str = None, type: str = None, url: str = None, ): self.creator_staff_id = creator_staff_id self.end_time = end_time self.gmt_create = gmt_create self.gmt_modified = gmt_modified self.icon = icon self.match_intimacy = match_intimacy self.material = material self.meeting_room = meeting_room self.participant_staff_ids = participant_staff_ids self.raw_comment = raw_comment self.ref_type = ref_type self.score = score self.score_item = score_item self.start_time = start_time self.timestamp = timestamp self.title = title self.type = type self.url = url def validate(self): if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.creator_staff_id is not None: result['creatorStaffId'] = self.creator_staff_id if self.end_time is not None: result['endTime'] = self.end_time if self.gmt_create is not None: result['gmtCreate'] = self.gmt_create if self.gmt_modified is not None: result['gmtModified'] = self.gmt_modified if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.meeting_room is not None: result['meetingRoom'] = self.meeting_room if self.participant_staff_ids is not None: result['participantStaffIds'] = self.participant_staff_ids if self.raw_comment is not None: result['rawComment'] = self.raw_comment if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.start_time is not None: result['startTime'] = self.start_time if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('creatorStaffId') is not None: self.creator_staff_id = m.get('creatorStaffId') if m.get('endTime') is not None: self.end_time = m.get('endTime') if m.get('gmtCreate') is not None: self.gmt_create = m.get('gmtCreate') if m.get('gmtModified') is not None: self.gmt_modified = m.get('gmtModified') if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('meetingRoom') is not None: self.meeting_room = m.get('meetingRoom') if m.get('participantStaffIds') is not None: self.participant_staff_ids = m.get('participantStaffIds') if m.get('rawComment') is not None: self.raw_comment = m.get('rawComment') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultCalendarsScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('startTime') is not None: self.start_time = m.get('startTime') if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResultDingHelperDocsAbleDashboardModel(TeaModel): def __init__( self, chart_name: str = None, chart_type: str = None, dashboard_name: str = None, data: str = None, sheet_name: str = None, type: str = None, ): self.chart_name = chart_name self.chart_type = chart_type self.dashboard_name = dashboard_name self.data = data self.sheet_name = sheet_name self.type = type def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.chart_name is not None: result['chartName'] = self.chart_name if self.chart_type is not None: result['chartType'] = self.chart_type if self.dashboard_name is not None: result['dashboardName'] = self.dashboard_name if self.data is not None: result['data'] = self.data if self.sheet_name is not None: result['sheetName'] = self.sheet_name if self.type is not None: result['type'] = self.type return result def from_map(self, m: dict = None): m = m or dict() if m.get('chartName') is not None: self.chart_name = m.get('chartName') if m.get('chartType') is not None: self.chart_type = m.get('chartType') if m.get('dashboardName') is not None: self.dashboard_name = m.get('dashboardName') if m.get('data') is not None: self.data = m.get('data') if m.get('sheetName') is not None: self.sheet_name = m.get('sheetName') if m.get('type') is not None: self.type = m.get('type') return self class RetrieveResponseBodyResultDingHelperDocsScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultDingHelperDocs(TeaModel): def __init__( self, able_dashboard_model: RetrieveResponseBodyResultDingHelperDocsAbleDashboardModel = None, chunk_id: int = None, chunk_ids: List[int] = None, chunk_model: str = None, creator: str = None, dentry_uuid: str = None, extension: str = None, gmt_create: int = None, gmt_modified: int = None, has_extend_chunk: bool = None, icon: str = None, match_intimacy: bool = None, material: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultDingHelperDocsScoreItem = None, small_2big_text: str = None, text: str = None, timestamp: int = None, title: str = None, type: str = None, upload_source: str = None, url: str = None, ): self.able_dashboard_model = able_dashboard_model self.chunk_id = chunk_id self.chunk_ids = chunk_ids self.chunk_model = chunk_model self.creator = creator self.dentry_uuid = dentry_uuid self.extension = extension self.gmt_create = gmt_create self.gmt_modified = gmt_modified self.has_extend_chunk = has_extend_chunk self.icon = icon self.match_intimacy = match_intimacy self.material = material self.ref_type = ref_type self.score = score self.score_item = score_item self.small_2big_text = small_2big_text self.text = text self.timestamp = timestamp self.title = title self.type = type self.upload_source = upload_source self.url = url def validate(self): if self.able_dashboard_model: self.able_dashboard_model.validate() if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.able_dashboard_model is not None: result['ableDashboardModel'] = self.able_dashboard_model.to_map() if self.chunk_id is not None: result['chunkId'] = self.chunk_id if self.chunk_ids is not None: result['chunkIds'] = self.chunk_ids if self.chunk_model is not None: result['chunkModel'] = self.chunk_model if self.creator is not None: result['creator'] = self.creator if self.dentry_uuid is not None: result['dentryUuid'] = self.dentry_uuid if self.extension is not None: result['extension'] = self.extension if self.gmt_create is not None: result['gmtCreate'] = self.gmt_create if self.gmt_modified is not None: result['gmtModified'] = self.gmt_modified if self.has_extend_chunk is not None: result['hasExtendChunk'] = self.has_extend_chunk if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.small_2big_text is not None: result['small2bigText'] = self.small_2big_text if self.text is not None: result['text'] = self.text if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.upload_source is not None: result['uploadSource'] = self.upload_source if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('ableDashboardModel') is not None: temp_model = RetrieveResponseBodyResultDingHelperDocsAbleDashboardModel() self.able_dashboard_model = temp_model.from_map(m['ableDashboardModel']) if m.get('chunkId') is not None: self.chunk_id = m.get('chunkId') if m.get('chunkIds') is not None: self.chunk_ids = m.get('chunkIds') if m.get('chunkModel') is not None: self.chunk_model = m.get('chunkModel') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('dentryUuid') is not None: self.dentry_uuid = m.get('dentryUuid') if m.get('extension') is not None: self.extension = m.get('extension') if m.get('gmtCreate') is not None: self.gmt_create = m.get('gmtCreate') if m.get('gmtModified') is not None: self.gmt_modified = m.get('gmtModified') if m.get('hasExtendChunk') is not None: self.has_extend_chunk = m.get('hasExtendChunk') if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultDingHelperDocsScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('small2bigText') is not None: self.small_2big_text = m.get('small2bigText') if m.get('text') is not None: self.text = m.get('text') if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('uploadSource') is not None: self.upload_source = m.get('uploadSource') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResultDocsAbleDashboardModel(TeaModel): def __init__( self, chart_name: str = None, chart_type: str = None, dashboard_name: str = None, data: str = None, sheet_name: str = None, type: str = None, ): self.chart_name = chart_name self.chart_type = chart_type self.dashboard_name = dashboard_name self.data = data self.sheet_name = sheet_name self.type = type def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.chart_name is not None: result['chartName'] = self.chart_name if self.chart_type is not None: result['chartType'] = self.chart_type if self.dashboard_name is not None: result['dashboardName'] = self.dashboard_name if self.data is not None: result['data'] = self.data if self.sheet_name is not None: result['sheetName'] = self.sheet_name if self.type is not None: result['type'] = self.type return result def from_map(self, m: dict = None): m = m or dict() if m.get('chartName') is not None: self.chart_name = m.get('chartName') if m.get('chartType') is not None: self.chart_type = m.get('chartType') if m.get('dashboardName') is not None: self.dashboard_name = m.get('dashboardName') if m.get('data') is not None: self.data = m.get('data') if m.get('sheetName') is not None: self.sheet_name = m.get('sheetName') if m.get('type') is not None: self.type = m.get('type') return self class RetrieveResponseBodyResultDocsScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultDocs(TeaModel): def __init__( self, able_dashboard_model: RetrieveResponseBodyResultDocsAbleDashboardModel = None, chunk_id: int = None, chunk_ids: List[int] = None, chunk_model: str = None, creator: str = None, dentry_uuid: str = None, extension: str = None, gmt_create: int = None, gmt_modified: int = None, has_extend_chunk: bool = None, icon: str = None, match_intimacy: bool = None, material: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultDocsScoreItem = None, small_2big_text: str = None, text: str = None, timestamp: int = None, title: str = None, type: str = None, upload_source: str = None, url: str = None, ): self.able_dashboard_model = able_dashboard_model self.chunk_id = chunk_id self.chunk_ids = chunk_ids self.chunk_model = chunk_model self.creator = creator self.dentry_uuid = dentry_uuid self.extension = extension self.gmt_create = gmt_create self.gmt_modified = gmt_modified self.has_extend_chunk = has_extend_chunk self.icon = icon self.match_intimacy = match_intimacy self.material = material self.ref_type = ref_type self.score = score self.score_item = score_item self.small_2big_text = small_2big_text self.text = text self.timestamp = timestamp self.title = title self.type = type self.upload_source = upload_source self.url = url def validate(self): if self.able_dashboard_model: self.able_dashboard_model.validate() if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.able_dashboard_model is not None: result['ableDashboardModel'] = self.able_dashboard_model.to_map() if self.chunk_id is not None: result['chunkId'] = self.chunk_id if self.chunk_ids is not None: result['chunkIds'] = self.chunk_ids if self.chunk_model is not None: result['chunkModel'] = self.chunk_model if self.creator is not None: result['creator'] = self.creator if self.dentry_uuid is not None: result['dentryUuid'] = self.dentry_uuid if self.extension is not None: result['extension'] = self.extension if self.gmt_create is not None: result['gmtCreate'] = self.gmt_create if self.gmt_modified is not None: result['gmtModified'] = self.gmt_modified if self.has_extend_chunk is not None: result['hasExtendChunk'] = self.has_extend_chunk if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.small_2big_text is not None: result['small2bigText'] = self.small_2big_text if self.text is not None: result['text'] = self.text if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.upload_source is not None: result['uploadSource'] = self.upload_source if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('ableDashboardModel') is not None: temp_model = RetrieveResponseBodyResultDocsAbleDashboardModel() self.able_dashboard_model = temp_model.from_map(m['ableDashboardModel']) if m.get('chunkId') is not None: self.chunk_id = m.get('chunkId') if m.get('chunkIds') is not None: self.chunk_ids = m.get('chunkIds') if m.get('chunkModel') is not None: self.chunk_model = m.get('chunkModel') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('dentryUuid') is not None: self.dentry_uuid = m.get('dentryUuid') if m.get('extension') is not None: self.extension = m.get('extension') if m.get('gmtCreate') is not None: self.gmt_create = m.get('gmtCreate') if m.get('gmtModified') is not None: self.gmt_modified = m.get('gmtModified') if m.get('hasExtendChunk') is not None: self.has_extend_chunk = m.get('hasExtendChunk') if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultDocsScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('small2bigText') is not None: self.small_2big_text = m.get('small2bigText') if m.get('text') is not None: self.text = m.get('text') if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('uploadSource') is not None: self.upload_source = m.get('uploadSource') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResultFaqsScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultFaqs(TeaModel): def __init__( self, icon: str = None, match_intimacy: bool = None, material: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultFaqsScoreItem = None, timestamp: int = None, title: str = None, type: str = None, url: str = None, ): self.icon = icon self.match_intimacy = match_intimacy self.material = material self.ref_type = ref_type self.score = score self.score_item = score_item self.timestamp = timestamp self.title = title self.type = type self.url = url def validate(self): if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultFaqsScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResultFinalResultsScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultFinalResults(TeaModel): def __init__( self, icon: str = None, match_intimacy: bool = None, material: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultFinalResultsScoreItem = None, timestamp: int = None, title: str = None, type: str = None, url: str = None, ): self.icon = icon self.match_intimacy = match_intimacy self.material = material self.ref_type = ref_type self.score = score self.score_item = score_item self.timestamp = timestamp self.title = title self.type = type self.url = url def validate(self): if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultFinalResultsScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResultMinutesScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultMinutes(TeaModel): def __init__( self, corp_id: int = None, creator: str = None, extension: str = None, full_text_summary: str = None, gmt_modified: int = None, icon: str = None, match_intimacy: bool = None, material: str = None, origin_text: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultMinutesScoreItem = None, timestamp: int = None, title: str = None, type: str = None, url: str = None, ): self.corp_id = corp_id self.creator = creator self.extension = extension self.full_text_summary = full_text_summary self.gmt_modified = gmt_modified self.icon = icon self.match_intimacy = match_intimacy self.material = material self.origin_text = origin_text self.ref_type = ref_type self.score = score self.score_item = score_item self.timestamp = timestamp self.title = title self.type = type self.url = url def validate(self): if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.creator is not None: result['creator'] = self.creator if self.extension is not None: result['extension'] = self.extension if self.full_text_summary is not None: result['fullTextSummary'] = self.full_text_summary if self.gmt_modified is not None: result['gmtModified'] = self.gmt_modified if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.origin_text is not None: result['originText'] = self.origin_text if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('extension') is not None: self.extension = m.get('extension') if m.get('fullTextSummary') is not None: self.full_text_summary = m.get('fullTextSummary') if m.get('gmtModified') is not None: self.gmt_modified = m.get('gmtModified') if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('originText') is not None: self.origin_text = m.get('originText') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultMinutesScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResultReportsScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultReports(TeaModel): def __init__( self, content: str = None, corp_id: int = None, creator: str = None, gmt_create: int = None, gmt_modified: int = None, icon: str = None, match_intimacy: bool = None, material: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultReportsScoreItem = None, timestamp: int = None, title: str = None, type: str = None, url: str = None, ): self.content = content self.corp_id = corp_id self.creator = creator self.gmt_create = gmt_create self.gmt_modified = gmt_modified self.icon = icon self.match_intimacy = match_intimacy self.material = material self.ref_type = ref_type self.score = score self.score_item = score_item self.timestamp = timestamp self.title = title self.type = type self.url = url def validate(self): if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.content is not None: result['content'] = self.content if self.corp_id is not None: result['corpId'] = self.corp_id if self.creator is not None: result['creator'] = self.creator if self.gmt_create is not None: result['gmtCreate'] = self.gmt_create if self.gmt_modified is not None: result['gmtModified'] = self.gmt_modified if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('content') is not None: self.content = m.get('content') if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('gmtCreate') is not None: self.gmt_create = m.get('gmtCreate') if m.get('gmtModified') is not None: self.gmt_modified = m.get('gmtModified') if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultReportsScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResultWikisScoreItem(TeaModel): def __init__( self, finally_score: float = None, score_map: Dict[str, float] = None, score_threshold: float = None, selected_branch: List[str] = None, selected_category: str = None, ): self.finally_score = finally_score self.score_map = score_map self.score_threshold = score_threshold self.selected_branch = selected_branch self.selected_category = selected_category def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.finally_score is not None: result['finallyScore'] = self.finally_score if self.score_map is not None: result['scoreMap'] = self.score_map if self.score_threshold is not None: result['scoreThreshold'] = self.score_threshold if self.selected_branch is not None: result['selectedBranch'] = self.selected_branch if self.selected_category is not None: result['selectedCategory'] = self.selected_category return result def from_map(self, m: dict = None): m = m or dict() if m.get('finallyScore') is not None: self.finally_score = m.get('finallyScore') if m.get('scoreMap') is not None: self.score_map = m.get('scoreMap') if m.get('scoreThreshold') is not None: self.score_threshold = m.get('scoreThreshold') if m.get('selectedBranch') is not None: self.selected_branch = m.get('selectedBranch') if m.get('selectedCategory') is not None: self.selected_category = m.get('selectedCategory') return self class RetrieveResponseBodyResultWikis(TeaModel): def __init__( self, corp_id: int = None, icon: str = None, match_intimacy: bool = None, material: str = None, ref_type: str = None, score: float = None, score_item: RetrieveResponseBodyResultWikisScoreItem = None, timestamp: int = None, title: str = None, type: str = None, url: str = None, ): self.corp_id = corp_id self.icon = icon self.match_intimacy = match_intimacy self.material = material self.ref_type = ref_type self.score = score self.score_item = score_item self.timestamp = timestamp self.title = title self.type = type self.url = url def validate(self): if self.score_item: self.score_item.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.icon is not None: result['icon'] = self.icon if self.match_intimacy is not None: result['matchIntimacy'] = self.match_intimacy if self.material is not None: result['material'] = self.material if self.ref_type is not None: result['refType'] = self.ref_type if self.score is not None: result['score'] = self.score if self.score_item is not None: result['scoreItem'] = self.score_item.to_map() if self.timestamp is not None: result['timestamp'] = self.timestamp if self.title is not None: result['title'] = self.title if self.type is not None: result['type'] = self.type if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('icon') is not None: self.icon = m.get('icon') if m.get('matchIntimacy') is not None: self.match_intimacy = m.get('matchIntimacy') if m.get('material') is not None: self.material = m.get('material') if m.get('refType') is not None: self.ref_type = m.get('refType') if m.get('score') is not None: self.score = m.get('score') if m.get('scoreItem') is not None: temp_model = RetrieveResponseBodyResultWikisScoreItem() self.score_item = temp_model.from_map(m['scoreItem']) if m.get('timestamp') is not None: self.timestamp = m.get('timestamp') if m.get('title') is not None: self.title = m.get('title') if m.get('type') is not None: self.type = m.get('type') if m.get('url') is not None: self.url = m.get('url') return self class RetrieveResponseBodyResult(TeaModel): def __init__( self, calendars: List[RetrieveResponseBodyResultCalendars] = None, ding_helper_docs: List[RetrieveResponseBodyResultDingHelperDocs] = None, docs: List[RetrieveResponseBodyResultDocs] = None, faqs: List[RetrieveResponseBodyResultFaqs] = None, final_results: List[RetrieveResponseBodyResultFinalResults] = None, minutes: List[RetrieveResponseBodyResultMinutes] = None, reports: List[RetrieveResponseBodyResultReports] = None, wikis: List[RetrieveResponseBodyResultWikis] = None, ): self.calendars = calendars self.ding_helper_docs = ding_helper_docs self.docs = docs self.faqs = faqs self.final_results = final_results self.minutes = minutes self.reports = reports self.wikis = wikis def validate(self): if self.calendars: for k in self.calendars: if k: k.validate() if self.ding_helper_docs: for k in self.ding_helper_docs: if k: k.validate() if self.docs: for k in self.docs: if k: k.validate() if self.faqs: for k in self.faqs: if k: k.validate() if self.final_results: for k in self.final_results: if k: k.validate() if self.minutes: for k in self.minutes: if k: k.validate() if self.reports: for k in self.reports: if k: k.validate() if self.wikis: for k in self.wikis: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['calendars'] = [] if self.calendars is not None: for k in self.calendars: result['calendars'].append(k.to_map() if k else None) result['dingHelperDocs'] = [] if self.ding_helper_docs is not None: for k in self.ding_helper_docs: result['dingHelperDocs'].append(k.to_map() if k else None) result['docs'] = [] if self.docs is not None: for k in self.docs: result['docs'].append(k.to_map() if k else None) result['faqs'] = [] if self.faqs is not None: for k in self.faqs: result['faqs'].append(k.to_map() if k else None) result['finalResults'] = [] if self.final_results is not None: for k in self.final_results: result['finalResults'].append(k.to_map() if k else None) result['minutes'] = [] if self.minutes is not None: for k in self.minutes: result['minutes'].append(k.to_map() if k else None) result['reports'] = [] if self.reports is not None: for k in self.reports: result['reports'].append(k.to_map() if k else None) result['wikis'] = [] if self.wikis is not None: for k in self.wikis: result['wikis'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.calendars = [] if m.get('calendars') is not None: for k in m.get('calendars'): temp_model = RetrieveResponseBodyResultCalendars() self.calendars.append(temp_model.from_map(k)) self.ding_helper_docs = [] if m.get('dingHelperDocs') is not None: for k in m.get('dingHelperDocs'): temp_model = RetrieveResponseBodyResultDingHelperDocs() self.ding_helper_docs.append(temp_model.from_map(k)) self.docs = [] if m.get('docs') is not None: for k in m.get('docs'): temp_model = RetrieveResponseBodyResultDocs() self.docs.append(temp_model.from_map(k)) self.faqs = [] if m.get('faqs') is not None: for k in m.get('faqs'): temp_model = RetrieveResponseBodyResultFaqs() self.faqs.append(temp_model.from_map(k)) self.final_results = [] if m.get('finalResults') is not None: for k in m.get('finalResults'): temp_model = RetrieveResponseBodyResultFinalResults() self.final_results.append(temp_model.from_map(k)) self.minutes = [] if m.get('minutes') is not None: for k in m.get('minutes'): temp_model = RetrieveResponseBodyResultMinutes() self.minutes.append(temp_model.from_map(k)) self.reports = [] if m.get('reports') is not None: for k in m.get('reports'): temp_model = RetrieveResponseBodyResultReports() self.reports.append(temp_model.from_map(k)) self.wikis = [] if m.get('wikis') is not None: for k in m.get('wikis'): temp_model = RetrieveResponseBodyResultWikis() self.wikis.append(temp_model.from_map(k)) return self class RetrieveResponseBody(TeaModel): def __init__( self, error_code: str = None, error_msg: str = None, result: List[RetrieveResponseBodyResult] = None, success: bool = None, ): self.error_code = error_code self.error_msg = error_msg self.result = result self.success = success def validate(self): if self.result: for k in self.result: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.error_code is not None: result['errorCode'] = self.error_code if self.error_msg is not None: result['errorMsg'] = self.error_msg result['result'] = [] if self.result is not None: for k in self.result: result['result'].append(k.to_map() if k else None) if self.success is not None: result['success'] = self.success return result def from_map(self, m: dict = None): m = m or dict() if m.get('errorCode') is not None: self.error_code = m.get('errorCode') if m.get('errorMsg') is not None: self.error_msg = m.get('errorMsg') self.result = [] if m.get('result') is not None: for k in m.get('result'): temp_model = RetrieveResponseBodyResult() self.result.append(temp_model.from_map(k)) if m.get('success') is not None: self.success = m.get('success') return self class RetrieveResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, status_code: int = None, body: RetrieveResponseBody = None, ): self.headers = headers self.status_code = status_code self.body = body def validate(self): if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.status_code is not None: result['statusCode'] = self.status_code if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('statusCode') is not None: self.status_code = m.get('statusCode') if m.get('body') is not None: temp_model = RetrieveResponseBody() self.body = temp_model.from_map(m['body']) return self class SubmitAiTaskHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class SubmitAiTaskRequestMessages(TeaModel): def __init__( self, content: str = None, ): self.content = content def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.content is not None: result['content'] = self.content return result def from_map(self, m: dict = None): m = m or dict() if m.get('content') is not None: self.content = m.get('content') return self class SubmitAiTaskRequest(TeaModel): def __init__( self, messages: List[SubmitAiTaskRequestMessages] = None, ): self.messages = messages def validate(self): if self.messages: for k in self.messages: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['messages'] = [] if self.messages is not None: for k in self.messages: result['messages'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.messages = [] if m.get('messages') is not None: for k in m.get('messages'): temp_model = SubmitAiTaskRequestMessages() self.messages.append(temp_model.from_map(k)) return self class SubmitAiTaskShrinkRequest(TeaModel): def __init__( self, messages_shrink: str = None, ): self.messages_shrink = messages_shrink def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.messages_shrink is not None: result['messages'] = self.messages_shrink return result def from_map(self, m: dict = None): m = m or dict() if m.get('messages') is not None: self.messages_shrink = m.get('messages') return self class SubmitAiTaskResponseBodyResult(TeaModel): def __init__( self, task_id: str = None, ): self.task_id = task_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.task_id is not None: result['taskId'] = self.task_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('taskId') is not None: self.task_id = m.get('taskId') return self class SubmitAiTaskResponseBody(TeaModel): def __init__( self, error_code: str = None, error_msg: str = None, result: SubmitAiTaskResponseBodyResult = None, success: bool = None, ): self.error_code = error_code self.error_msg = error_msg self.result = result self.success = success def validate(self): if self.result: self.result.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.error_code is not None: result['errorCode'] = self.error_code if self.error_msg is not None: result['errorMsg'] = self.error_msg if self.result is not None: result['result'] = self.result.to_map() if self.success is not None: result['success'] = self.success return result def from_map(self, m: dict = None): m = m or dict() if m.get('errorCode') is not None: self.error_code = m.get('errorCode') if m.get('errorMsg') is not None: self.error_msg = m.get('errorMsg') if m.get('result') is not None: temp_model = SubmitAiTaskResponseBodyResult() self.result = temp_model.from_map(m['result']) if m.get('success') is not None: self.success = m.get('success') return self class SubmitAiTaskResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, status_code: int = None, body: SubmitAiTaskResponseBody = None, ): self.headers = headers self.status_code = status_code self.body = body def validate(self): if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.status_code is not None: result['statusCode'] = self.status_code if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('statusCode') is not None: self.status_code = m.get('statusCode') if m.get('body') is not None: temp_model = SubmitAiTaskResponseBody() self.body = temp_model.from_map(m['body']) return self