249 lines
6.9 KiB
Python
249 lines
6.9 KiB
Python
# coding: utf-8
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import re
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import six
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from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
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class FaceSearchFaceIdReq:
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"""
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Attributes:
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openapi_types (dict): The key is attribute name
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and the value is attribute type.
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attribute_map (dict): The key is attribute name
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and the value is json key in definition.
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"""
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sensitive_list = []
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openapi_types = {
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'filter': 'str',
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'top_n': 'int',
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'face_id': 'str',
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'return_fields': 'list[str]',
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'threshold': 'float',
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'sort': 'list[dict(str, str)]'
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}
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attribute_map = {
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'filter': 'filter',
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'top_n': 'top_n',
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'face_id': 'face_id',
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'return_fields': 'return_fields',
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'threshold': 'threshold',
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'sort': 'sort'
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}
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def __init__(self, filter=None, top_n=None, face_id=None, return_fields=None, threshold=None, sort=None):
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"""FaceSearchFaceIdReq - a model defined in huaweicloud sdk"""
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self._filter = None
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self._top_n = None
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self._face_id = None
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self._return_fields = None
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self._threshold = None
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self._sort = None
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self.discriminator = None
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if filter is not None:
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self.filter = filter
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if top_n is not None:
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self.top_n = top_n
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self.face_id = face_id
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if return_fields is not None:
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self.return_fields = return_fields
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if threshold is not None:
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self.threshold = threshold
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if sort is not None:
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self.sort = sort
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@property
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def filter(self):
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"""Gets the filter of this FaceSearchFaceIdReq.
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过滤条件，参考[filter语法](zh-cn_topic_0130807048.xml)。
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:return: The filter of this FaceSearchFaceIdReq.
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:rtype: str
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"""
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return self._filter
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@filter.setter
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def filter(self, filter):
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"""Sets the filter of this FaceSearchFaceIdReq.
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过滤条件，参考[filter语法](zh-cn_topic_0130807048.xml)。
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:param filter: The filter of this FaceSearchFaceIdReq.
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:type: str
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"""
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self._filter = filter
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@property
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def top_n(self):
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"""Gets the top_n of this FaceSearchFaceIdReq.
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返回查询到的最相似的N张人脸，N默认为10。
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:return: The top_n of this FaceSearchFaceIdReq.
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:rtype: int
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"""
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return self._top_n
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@top_n.setter
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def top_n(self, top_n):
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"""Sets the top_n of this FaceSearchFaceIdReq.
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返回查询到的最相似的N张人脸，N默认为10。
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:param top_n: The top_n of this FaceSearchFaceIdReq.
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:type: int
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"""
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self._top_n = top_n
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@property
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def face_id(self):
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"""Gets the face_id of this FaceSearchFaceIdReq.
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导入人脸时，系统返回的人脸编号，即人脸ID。
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:return: The face_id of this FaceSearchFaceIdReq.
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:rtype: str
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"""
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return self._face_id
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@face_id.setter
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def face_id(self, face_id):
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"""Sets the face_id of this FaceSearchFaceIdReq.
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导入人脸时，系统返回的人脸编号，即人脸ID。
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:param face_id: The face_id of this FaceSearchFaceIdReq.
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:type: str
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"""
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self._face_id = face_id
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@property
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def return_fields(self):
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"""Gets the return_fields of this FaceSearchFaceIdReq.
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指定返回的自定义字段。
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:return: The return_fields of this FaceSearchFaceIdReq.
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:rtype: list[str]
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"""
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return self._return_fields
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@return_fields.setter
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def return_fields(self, return_fields):
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"""Sets the return_fields of this FaceSearchFaceIdReq.
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指定返回的自定义字段。
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:param return_fields: The return_fields of this FaceSearchFaceIdReq.
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:type: list[str]
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"""
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self._return_fields = return_fields
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@property
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def threshold(self):
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"""Gets the threshold of this FaceSearchFaceIdReq.
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人脸相似度阈值，低于这个阈值则不返回，取值范围0~1，一般情况下建议取值0.93，默认为0。
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:return: The threshold of this FaceSearchFaceIdReq.
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:rtype: float
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"""
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return self._threshold
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@threshold.setter
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def threshold(self, threshold):
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"""Sets the threshold of this FaceSearchFaceIdReq.
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人脸相似度阈值，低于这个阈值则不返回，取值范围0~1，一般情况下建议取值0.93，默认为0。
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:param threshold: The threshold of this FaceSearchFaceIdReq.
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:type: float
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"""
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self._threshold = threshold
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@property
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def sort(self):
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"""Gets the sort of this FaceSearchFaceIdReq.
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支持字段排序，参考[sort语法](zh-cn_topic_0130807047.xml)。
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:return: The sort of this FaceSearchFaceIdReq.
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:rtype: list[dict(str, str)]
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"""
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return self._sort
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@sort.setter
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def sort(self, sort):
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"""Sets the sort of this FaceSearchFaceIdReq.
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支持字段排序，参考[sort语法](zh-cn_topic_0130807047.xml)。
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:param sort: The sort of this FaceSearchFaceIdReq.
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:type: list[dict(str, str)]
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"""
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self._sort = sort
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def to_dict(self):
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"""Returns the model properties as a dict"""
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result = {}
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for attr, _ in six.iteritems(self.openapi_types):
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value = getattr(self, attr)
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if isinstance(value, list):
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result[attr] = list(map(
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lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
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value
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))
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elif hasattr(value, "to_dict"):
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result[attr] = value.to_dict()
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elif isinstance(value, dict):
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result[attr] = dict(map(
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lambda item: (item[0], item[1].to_dict())
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if hasattr(item[1], "to_dict") else item,
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value.items()
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))
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else:
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if attr in self.sensitive_list:
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result[attr] = "****"
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else:
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result[attr] = value
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return result
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def to_str(self):
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"""Returns the string representation of the model"""
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import simplejson as json
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if six.PY2:
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import sys
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reload(sys)
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sys.setdefaultencoding("utf-8")
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return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
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def __repr__(self):
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"""For `print`"""
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return self.to_str()
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def __eq__(self, other):
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"""Returns true if both objects are equal"""
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if not isinstance(other, FaceSearchFaceIdReq):
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return False
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return self.__dict__ == other.__dict__
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def __ne__(self, other):
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"""Returns true if both objects are not equal"""
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return not self == other
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