145 lines
4.0 KiB
Python
145 lines
4.0 KiB
Python
# coding: utf-8
|
|
|
|
import six
|
|
|
|
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
|
|
|
|
|
|
class OCRTextDetail:
|
|
|
|
"""
|
|
Attributes:
|
|
openapi_types (dict): The key is attribute name
|
|
and the value is attribute type.
|
|
attribute_map (dict): The key is attribute name
|
|
and the value is json key in definition.
|
|
"""
|
|
sensitive_list = []
|
|
|
|
openapi_types = {
|
|
'segment': 'str',
|
|
'glossary_name': 'str'
|
|
}
|
|
|
|
attribute_map = {
|
|
'segment': 'segment',
|
|
'glossary_name': 'glossary_name'
|
|
}
|
|
|
|
def __init__(self, segment=None, glossary_name=None):
|
|
"""OCRTextDetail
|
|
|
|
The model defined in huaweicloud sdk
|
|
|
|
:param segment: 命中的风险片段
|
|
:type segment: str
|
|
:param glossary_name: 命中的自定义词库名称。 命中自定义词库时,才会返回当前字段。
|
|
:type glossary_name: str
|
|
"""
|
|
|
|
|
|
|
|
self._segment = None
|
|
self._glossary_name = None
|
|
self.discriminator = None
|
|
|
|
if segment is not None:
|
|
self.segment = segment
|
|
if glossary_name is not None:
|
|
self.glossary_name = glossary_name
|
|
|
|
@property
|
|
def segment(self):
|
|
"""Gets the segment of this OCRTextDetail.
|
|
|
|
命中的风险片段
|
|
|
|
:return: The segment of this OCRTextDetail.
|
|
:rtype: str
|
|
"""
|
|
return self._segment
|
|
|
|
@segment.setter
|
|
def segment(self, segment):
|
|
"""Sets the segment of this OCRTextDetail.
|
|
|
|
命中的风险片段
|
|
|
|
:param segment: The segment of this OCRTextDetail.
|
|
:type segment: str
|
|
"""
|
|
self._segment = segment
|
|
|
|
@property
|
|
def glossary_name(self):
|
|
"""Gets the glossary_name of this OCRTextDetail.
|
|
|
|
命中的自定义词库名称。 命中自定义词库时,才会返回当前字段。
|
|
|
|
:return: The glossary_name of this OCRTextDetail.
|
|
:rtype: str
|
|
"""
|
|
return self._glossary_name
|
|
|
|
@glossary_name.setter
|
|
def glossary_name(self, glossary_name):
|
|
"""Sets the glossary_name of this OCRTextDetail.
|
|
|
|
命中的自定义词库名称。 命中自定义词库时,才会返回当前字段。
|
|
|
|
:param glossary_name: The glossary_name of this OCRTextDetail.
|
|
:type glossary_name: str
|
|
"""
|
|
self._glossary_name = glossary_name
|
|
|
|
def to_dict(self):
|
|
"""Returns the model properties as a dict"""
|
|
result = {}
|
|
|
|
for attr, _ in six.iteritems(self.openapi_types):
|
|
value = getattr(self, attr)
|
|
if isinstance(value, list):
|
|
result[attr] = list(map(
|
|
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
|
|
value
|
|
))
|
|
elif hasattr(value, "to_dict"):
|
|
result[attr] = value.to_dict()
|
|
elif isinstance(value, dict):
|
|
result[attr] = dict(map(
|
|
lambda item: (item[0], item[1].to_dict())
|
|
if hasattr(item[1], "to_dict") else item,
|
|
value.items()
|
|
))
|
|
else:
|
|
if attr in self.sensitive_list:
|
|
result[attr] = "****"
|
|
else:
|
|
result[attr] = value
|
|
|
|
return result
|
|
|
|
def to_str(self):
|
|
"""Returns the string representation of the model"""
|
|
import simplejson as json
|
|
if six.PY2:
|
|
import sys
|
|
reload(sys)
|
|
sys.setdefaultencoding("utf-8")
|
|
return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
|
|
|
|
def __repr__(self):
|
|
"""For `print`"""
|
|
return self.to_str()
|
|
|
|
def __eq__(self, other):
|
|
"""Returns true if both objects are equal"""
|
|
if not isinstance(other, OCRTextDetail):
|
|
return False
|
|
|
|
return self.__dict__ == other.__dict__
|
|
|
|
def __ne__(self, other):
|
|
"""Returns true if both objects are not equal"""
|
|
return not self == other
|