python/alibabacloud_opensearch/models.py

# -*- coding: utf-8 -*-
# This file is auto-generated, don't edit it. Thanks.
from Tea.model import TeaModel
from typing import Dict, List, Any


class Config(TeaModel):
    def __init__(
        self,
        endpoint: str = None,
        protocol: str = None,
        type: str = None,
        security_token: str = None,
        access_key_id: str = None,
        access_key_secret: str = None,
        user_agent: str = None,
    ):
        self.endpoint = endpoint
        self.protocol = protocol
        self.type = type
        self.security_token = security_token
        self.access_key_id = access_key_id
        self.access_key_secret = access_key_secret
        self.user_agent = user_agent

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.endpoint is not None:
            result['endpoint'] = self.endpoint
        if self.protocol is not None:
            result['protocol'] = self.protocol
        if self.type is not None:
            result['type'] = self.type
        if self.security_token is not None:
            result['securityToken'] = self.security_token
        if self.access_key_id is not None:
            result['accessKeyId'] = self.access_key_id
        if self.access_key_secret is not None:
            result['accessKeySecret'] = self.access_key_secret
        if self.user_agent is not None:
            result['userAgent'] = self.user_agent
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('endpoint') is not None:
            self.endpoint = m.get('endpoint')
        if m.get('protocol') is not None:
            self.protocol = m.get('protocol')
        if m.get('type') is not None:
            self.type = m.get('type')
        if m.get('securityToken') is not None:
            self.security_token = m.get('securityToken')
        if m.get('accessKeyId') is not None:
            self.access_key_id = m.get('accessKeyId')
        if m.get('accessKeySecret') is not None:
            self.access_key_secret = m.get('accessKeySecret')
        if m.get('userAgent') is not None:
            self.user_agent = m.get('userAgent')
        return self


class SearchQuery(TeaModel):
    def __init__(
        self,
        query: str = None,
        fetch_fields: str = None,
        qp: str = None,
        disable: str = None,
        first_rank_name: str = None,
        second_rank_name: str = None,
        user_id: str = None,
        abtest: str = None,
        category_prediction: str = None,
        raw_query: str = None,
        summary: str = None,
    ):
        # 搜索主体，不能为空。主要支持子句有 config子句、query子句、sort子句、filter子句、aggregate子句、distinct子句 、kvpairs子句。
        self.query = query
        # 表示本次查询需要召回哪些字段值，多个字段之间通过英文分号;分隔，对应控制台中的默认展示字段功能。默认使用全部可展示字段。
        self.fetch_fields = fetch_fields
        # 指定要使用的查询分析规则，多个规则使用英文逗号,分隔。默认使用已上线规则
        self.qp = qp
        # 关闭指定已生效的参数功能。
        self.disable = disable
        # 设置粗排表达式名字。
        self.first_rank_name = first_rank_name
        # 设置精排表达式名字。
        self.second_rank_name = second_rank_name
        # 用来标识发起当前搜索请求的终端用户。该值可以设置为下列值，优先级从高到低：1. 终端用户的长登录会员ID；2. 终端用户的移动设备imei标识；3. 终端用户的client_ip
        self.user_id = user_id
        # 使用A/B Test功能时需要设置该参数。
        self.abtest = abtest
        # 通过类目预测功能搜索时需要设置该参数。
        self.category_prediction = category_prediction
        # 终端用户输入的query，用于类目预测相关模型训练。
        self.raw_query = raw_query
        # 搜索结果摘要配置，可以指定某些字段进行飘红、截断等操作。
        self.summary = summary

    def validate(self):
        self.validate_required(self.query, 'query')

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.query is not None:
            result['query'] = self.query
        if self.fetch_fields is not None:
            result['fetch_fields'] = self.fetch_fields
        if self.qp is not None:
            result['qp'] = self.qp
        if self.disable is not None:
            result['disable'] = self.disable
        if self.first_rank_name is not None:
            result['first_rank_name'] = self.first_rank_name
        if self.second_rank_name is not None:
            result['second_rank_name'] = self.second_rank_name
        if self.user_id is not None:
            result['user_id'] = self.user_id
        if self.abtest is not None:
            result['abtest'] = self.abtest
        if self.category_prediction is not None:
            result['category_prediction'] = self.category_prediction
        if self.raw_query is not None:
            result['raw_query'] = self.raw_query
        if self.summary is not None:
            result['summary'] = self.summary
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('query') is not None:
            self.query = m.get('query')
        if m.get('fetch_fields') is not None:
            self.fetch_fields = m.get('fetch_fields')
        if m.get('qp') is not None:
            self.qp = m.get('qp')
        if m.get('disable') is not None:
            self.disable = m.get('disable')
        if m.get('first_rank_name') is not None:
            self.first_rank_name = m.get('first_rank_name')
        if m.get('second_rank_name') is not None:
            self.second_rank_name = m.get('second_rank_name')
        if m.get('user_id') is not None:
            self.user_id = m.get('user_id')
        if m.get('abtest') is not None:
            self.abtest = m.get('abtest')
        if m.get('category_prediction') is not None:
            self.category_prediction = m.get('category_prediction')
        if m.get('raw_query') is not None:
            self.raw_query = m.get('raw_query')
        if m.get('summary') is not None:
            self.summary = m.get('summary')
        return self


class SearchRequestModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        query: SearchQuery = None,
    ):
        # headers
        self.headers = headers
        # query
        self.query = query

    def validate(self):
        self.validate_required(self.query, 'query')
        if self.query:
            self.query.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.query is not None:
            result['query'] = self.query.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('query') is not None:
            temp_model = SearchQuery()
            self.query = temp_model.from_map(m['query'])
        return self


class SearchResultFacetItems(TeaModel):
    def __init__(
        self,
        value: str = None,
        count: int = None,
    ):
        self.value = value
        self.count = count

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.value is not None:
            result['value'] = self.value
        if self.count is not None:
            result['count'] = self.count
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('value') is not None:
            self.value = m.get('value')
        if m.get('count') is not None:
            self.count = m.get('count')
        return self


class SearchResultFacet(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        key: str = None,
        items: List[SearchResultFacetItems] = None,
    ):
        self.key = key
        self.items = items

    def validate(self):
        if self.items:
            for k in self.items:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.key is not None:
            result['key'] = self.key
        result['items'] = []
        if self.items is not None:
            for k in self.items:
                result['items'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('key') is not None:
            self.key = m.get('key')
        self.items = []
        if m.get('items') is not None:
            for k in m.get('items'):
                temp_model = SearchResultFacetItems()
                self.items.append(temp_model.from_map(k))
        return self


class SearchResult(TeaModel):
    """
    实际返回结果，包括查询耗时searchtime、引擎总结果数total、本次请求返回结果数num、本次查询最大返回结果数viewtotal、查询结果items、统计结果facet等信息
    """
    def __init__(
        self,
        searchtime: float = None,
        total: int = None,
        viewtotal: int = None,
        num: int = None,
        items: List[dict] = None,
        facet: List[SearchResultFacet] = None,
    ):
        # 指引擎耗时，单位为秒。
        self.searchtime = searchtime
        # total为一次查询（不考虑config子句）引擎中符合条件的结果数（在结果数较多情况下，该值会做优化），一般用来做展示。
        self.total = total
        # 考虑到性能及相关性，引擎最多会返回viewtotal个结果。如果需要翻页的话，要求start+hit必需要小于viewtotal
        self.viewtotal = viewtotal
        # num为本次查询请求（受限于config子句的start及hit）实际返回的条目，不会超过hit值。
        self.num = num
        # 包含查询召回数据信息，其中fields为搜索召回内容。
        self.items = items
        # 用于存放Aggregate子句返回的信息。
        self.facet = facet

    def validate(self):
        if self.facet:
            for k in self.facet:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.searchtime is not None:
            result['searchtime'] = self.searchtime
        if self.total is not None:
            result['total'] = self.total
        if self.viewtotal is not None:
            result['viewtotal'] = self.viewtotal
        if self.num is not None:
            result['num'] = self.num
        if self.items is not None:
            result['items'] = self.items
        result['facet'] = []
        if self.facet is not None:
            for k in self.facet:
                result['facet'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('searchtime') is not None:
            self.searchtime = m.get('searchtime')
        if m.get('total') is not None:
            self.total = m.get('total')
        if m.get('viewtotal') is not None:
            self.viewtotal = m.get('viewtotal')
        if m.get('num') is not None:
            self.num = m.get('num')
        if m.get('items') is not None:
            self.items = m.get('items')
        self.facet = []
        if m.get('facet') is not None:
            for k in m.get('facet'):
                temp_model = SearchResultFacet()
                self.facet.append(temp_model.from_map(k))
        return self


class Error(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        code: int = None,
        message: str = None,
    ):
        # 错误代码
        self.code = code
        # 错误描述
        self.message = message

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['code'] = self.code
        if self.message is not None:
            result['message'] = self.message
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('code') is not None:
            self.code = m.get('code')
        if m.get('message') is not None:
            self.message = m.get('message')
        return self


class SearchResponse(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        status: str = None,
        request_id: str = None,
        result: SearchResult = None,
        errors: List[Error] = None,
    ):
        self.status = status
        self.request_id = request_id
        self.result = result
        self.errors = errors

    def validate(self):
        if self.result:
            self.result.validate()
        if self.errors:
            for k in self.errors:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.status is not None:
            result['status'] = self.status
        if self.request_id is not None:
            result['request_id'] = self.request_id
        if self.result is not None:
            result['result'] = self.result.to_map()
        result['errors'] = []
        if self.errors is not None:
            for k in self.errors:
                result['errors'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('status') is not None:
            self.status = m.get('status')
        if m.get('request_id') is not None:
            self.request_id = m.get('request_id')
        if m.get('result') is not None:
            temp_model = SearchResult()
            self.result = temp_model.from_map(m['result'])
        self.errors = []
        if m.get('errors') is not None:
            for k in m.get('errors'):
                temp_model = Error()
                self.errors.append(temp_model.from_map(k))
        return self


class SearchResponseModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        body: SearchResponse = None,
    ):
        # headers
        self.headers = headers
        # body
        self.body = body

    def validate(self):
        self.validate_required(self.body, 'body')
        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.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('body') is not None:
            temp_model = SearchResponse()
            self.body = temp_model.from_map(m['body'])
        return self


class SuggestQuery(TeaModel):
    def __init__(
        self,
        query: str = None,
        hit: int = None,
    ):
        # 搜索关键词（包含中文需进行urlencode编码）
        self.query = query
        # 下拉提示条数
        self.hit = hit

    def validate(self):
        self.validate_required(self.query, 'query')
        if self.hit is not None:
            self.validate_maximum(self.hit, 'hit', 10)
            self.validate_minimum(self.hit, 'hit', 1)

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.query is not None:
            result['query'] = self.query
        if self.hit is not None:
            result['hit'] = self.hit
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('query') is not None:
            self.query = m.get('query')
        if m.get('hit') is not None:
            self.hit = m.get('hit')
        return self


class SuggestRequestModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        query: SuggestQuery = None,
    ):
        # headers
        self.headers = headers
        # query
        self.query = query

    def validate(self):
        self.validate_required(self.query, 'query')
        if self.query:
            self.query.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.query is not None:
            result['query'] = self.query.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('query') is not None:
            temp_model = SuggestQuery()
            self.query = temp_model.from_map(m['query'])
        return self


class SuggestionResponseSuggestions(TeaModel):
    def __init__(
        self,
        suggestion: str = None,
    ):
        self.suggestion = suggestion

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.suggestion is not None:
            result['suggestion'] = self.suggestion
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('suggestion') is not None:
            self.suggestion = m.get('suggestion')
        return self


class SuggestionResponse(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        request_id: str = None,
        searchtime: float = None,
        suggestions: List[SuggestionResponseSuggestions] = None,
        errors: List[Error] = None,
    ):
        self.request_id = request_id
        # 引擎查询耗时，单位为秒
        self.searchtime = searchtime
        self.suggestions = suggestions
        self.errors = errors

    def validate(self):
        if self.suggestions:
            for k in self.suggestions:
                if k:
                    k.validate()
        if self.errors:
            for k in self.errors:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.request_id is not None:
            result['request_id'] = self.request_id
        if self.searchtime is not None:
            result['searchtime'] = self.searchtime
        result['suggestions'] = []
        if self.suggestions is not None:
            for k in self.suggestions:
                result['suggestions'].append(k.to_map() if k else None)
        result['errors'] = []
        if self.errors is not None:
            for k in self.errors:
                result['errors'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('request_id') is not None:
            self.request_id = m.get('request_id')
        if m.get('searchtime') is not None:
            self.searchtime = m.get('searchtime')
        self.suggestions = []
        if m.get('suggestions') is not None:
            for k in m.get('suggestions'):
                temp_model = SuggestionResponseSuggestions()
                self.suggestions.append(temp_model.from_map(k))
        self.errors = []
        if m.get('errors') is not None:
            for k in m.get('errors'):
                temp_model = Error()
                self.errors.append(temp_model.from_map(k))
        return self


class SuggestResponseModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        body: SuggestionResponse = None,
    ):
        # headers
        self.headers = headers
        # body
        self.body = body

    def validate(self):
        self.validate_required(self.body, 'body')
        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.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('body') is not None:
            temp_model = SuggestionResponse()
            self.body = temp_model.from_map(m['body'])
        return self


class Document(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        cmd: str = None,
        timestamp: int = None,
        fields: Dict[str, Any] = None,
    ):
        # 必选字段。定义该文档的操作行为，可以为“add”、“update”、“delete”，标准版不支持“update”。建议一个请求中进行批量更新操作，提高网络交互及处理效率。“add”表示新增文档，如果该主键对应文档已经存在，则执行先“delete”再“add”的操作；“update”表示更新文档，对该主键对应文档进行部分字段更新；“delete”表示删除文档，如果该主键对应文档已经不存在，则认为删除成功。
        self.cmd = cmd
        # 可选字段。用来记录文档实际发生时间，单位为毫秒。系统会用该时间戳来作为同一主键文档更新顺序的判断标准，该选项仅支持高级版，标准版应用，没有该timestamp选项，若指定该选项，推送会报4007错误码。在没有该timestamp项时，默认以文档发送到OpenSearch的时间作为文档更新时间进行操作。
        self.timestamp = timestamp
        # 必选字段。要操作的文档内容，主键字段必选，系统所有操作都是通过主键来进行的。对于“delete”只需要提供文档主键即可。
        self.fields = fields

    def validate(self):
        self.validate_required(self.cmd, 'cmd')
        self.validate_required(self.fields, 'fields')

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.cmd is not None:
            result['cmd'] = self.cmd
        if self.timestamp is not None:
            result['timestamp'] = self.timestamp
        if self.fields is not None:
            result['fields'] = self.fields
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('cmd') is not None:
            self.cmd = m.get('cmd')
        if m.get('timestamp') is not None:
            self.timestamp = m.get('timestamp')
        if m.get('fields') is not None:
            self.fields = m.get('fields')
        return self


class PushDocumentRequestModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        body: List[Document] = None,
    ):
        # headers
        self.headers = headers
        # body
        self.body = body

    def validate(self):
        self.validate_required(self.body, 'body')
        if self.body:
            for k in self.body:
                if k:
                    k.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
        result['body'] = []
        if self.body is not None:
            for k in self.body:
                result['body'].append(k.to_map() if k else None)
        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')
        self.body = []
        if m.get('body') is not None:
            for k in m.get('body'):
                temp_model = Document()
                self.body.append(temp_model.from_map(k))
        return self


class Response(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        status: str = None,
        request_id: str = None,
        errors: List[Error] = None,
    ):
        self.status = status
        self.request_id = request_id
        self.errors = errors

    def validate(self):
        if self.errors:
            for k in self.errors:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.status is not None:
            result['status'] = self.status
        if self.request_id is not None:
            result['request_id'] = self.request_id
        result['errors'] = []
        if self.errors is not None:
            for k in self.errors:
                result['errors'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('status') is not None:
            self.status = m.get('status')
        if m.get('request_id') is not None:
            self.request_id = m.get('request_id')
        self.errors = []
        if m.get('errors') is not None:
            for k in m.get('errors'):
                temp_model = Error()
                self.errors.append(temp_model.from_map(k))
        return self


class PushDocumentResponseModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        body: Response = None,
    ):
        # headers
        self.headers = headers
        # body
        self.body = body

    def validate(self):
        self.validate_required(self.body, 'body')
        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.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('body') is not None:
            temp_model = Response()
            self.body = temp_model.from_map(m['body'])
        return self


class Behavior(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        cmd: str = None,
        fields: Dict[str, Any] = None,
    ):
        # 必选字段。定义该文档的操作行为，目前仅支持ADD
        self.cmd = cmd
        # 必选字段。行为数据主体。
        self.fields = fields

    def validate(self):
        self.validate_required(self.cmd, 'cmd')
        self.validate_required(self.fields, 'fields')

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.cmd is not None:
            result['cmd'] = self.cmd
        if self.fields is not None:
            result['fields'] = self.fields
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('cmd') is not None:
            self.cmd = m.get('cmd')
        if m.get('fields') is not None:
            self.fields = m.get('fields')
        return self


class CollectDataRequestModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        body: List[Behavior] = None,
    ):
        # headers
        self.headers = headers
        # body
        self.body = body

    def validate(self):
        self.validate_required(self.body, 'body')
        if self.body:
            for k in self.body:
                if k:
                    k.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
        result['body'] = []
        if self.body is not None:
            for k in self.body:
                result['body'].append(k.to_map() if k else None)
        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')
        self.body = []
        if m.get('body') is not None:
            for k in m.get('body'):
                temp_model = Behavior()
                self.body.append(temp_model.from_map(k))
        return self


class CollectDataResponseModel(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        body: Response = None,
    ):
        # headers
        self.headers = headers
        # body
        self.body = body

    def validate(self):
        self.validate_required(self.body, 'body')
        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.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('body') is not None:
            temp_model = Response()
            self.body = temp_model.from_map(m['body'])
        return self


class SearchResultItemFullJson(TeaModel):
    """
    *\
    """
    def __init__(
        self,
        fields: Dict[str, Any] = None,
        variable_value: Dict[str, Any] = None,
        sort_expr_values: List[int] = None,
    ):
        # 搜索召回内容
        self.fields = fields
        # 表示自定义参数返回结果，如获取distance距离值，variableValue 节点只有在config子句的format为xml或者fulljson时才能展现出来，json格式默认不展示。
        self.variable_value = variable_value
        # 表示对应文档排序分。
        self.sort_expr_values = sort_expr_values

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.fields is not None:
            result['fields'] = self.fields
        if self.variable_value is not None:
            result['variableValue'] = self.variable_value
        if self.sort_expr_values is not None:
            result['sortExprValues'] = self.sort_expr_values
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('fields') is not None:
            self.fields = m.get('fields')
        if m.get('variableValue') is not None:
            self.variable_value = m.get('variableValue')
        if m.get('sortExprValues') is not None:
            self.sort_expr_values = m.get('sortExprValues')
        return self


class Event2001Args(TeaModel):
    """
    object_id=pk,object_type=ops_search_doc,ops_request_misc=xxx
    """
    def __init__(
        self,
        object_id: str = None,
        object_type: str = None,
        ops_request_misc: str = None,
    ):
        # 被点击的对象的主键，不能为空，如果通过api上传需要urlencode
        self.object_id = object_id
        # 必须为ops_search_doc
        self.object_type = object_type
        # 开放搜索在搜索结果中返回的参数，只要原样设置即可。
        self.ops_request_misc = ops_request_misc

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.object_id is not None:
            result['object_id'] = self.object_id
        if self.object_type is not None:
            result['object_type'] = self.object_type
        if self.ops_request_misc is not None:
            result['ops_request_misc'] = self.ops_request_misc
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('object_id') is not None:
            self.object_id = m.get('object_id')
        if m.get('object_type') is not None:
            self.object_type = m.get('object_type')
        if m.get('ops_request_misc') is not None:
            self.ops_request_misc = m.get('ops_request_misc')
        return self