# coding: utf-8
from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
from bitmovin_api_sdk.models.advisory_category import AdvisoryCategory
from bitmovin_api_sdk.models.advisory_confidence import AdvisoryConfidence
import pprint
import six
[docs]
class ContentAdvisory(object):
@poscheck_model
def __init__(self,
category=None,
confidence=None,
reason=None):
# type: (AdvisoryCategory, AdvisoryConfidence, string_types) -> None
self._category = None
self._confidence = None
self._reason = None
self.discriminator = None
if category is not None:
self.category = category
if confidence is not None:
self.confidence = confidence
if reason is not None:
self.reason = reason
@property
def openapi_types(self):
types = {
'category': 'AdvisoryCategory',
'confidence': 'AdvisoryConfidence',
'reason': 'string_types'
}
return types
@property
def attribute_map(self):
attributes = {
'category': 'category',
'confidence': 'confidence',
'reason': 'reason'
}
return attributes
@property
def category(self):
# type: () -> AdvisoryCategory
"""Gets the category of this ContentAdvisory.
The kind of advisory-relevant imagery that was detected (required)
:return: The category of this ContentAdvisory.
:rtype: AdvisoryCategory
"""
return self._category
@category.setter
def category(self, category):
# type: (AdvisoryCategory) -> None
"""Sets the category of this ContentAdvisory.
The kind of advisory-relevant imagery that was detected (required)
:param category: The category of this ContentAdvisory.
:type: AdvisoryCategory
"""
if category is not None:
if not isinstance(category, AdvisoryCategory):
raise TypeError("Invalid type for `category`, type has to be `AdvisoryCategory`")
self._category = category
@property
def confidence(self):
# type: () -> AdvisoryConfidence
"""Gets the confidence of this ContentAdvisory.
The model's own certainty in this detection. Intended to help prioritise human review rather than as a threshold for discarding advisories: detection is tuned to flag uncertain cases rather than miss them, and shots that could not be analysed are reported with LOW confidence (required)
:return: The confidence of this ContentAdvisory.
:rtype: AdvisoryConfidence
"""
return self._confidence
@confidence.setter
def confidence(self, confidence):
# type: (AdvisoryConfidence) -> None
"""Sets the confidence of this ContentAdvisory.
The model's own certainty in this detection. Intended to help prioritise human review rather than as a threshold for discarding advisories: detection is tuned to flag uncertain cases rather than miss them, and shots that could not be analysed are reported with LOW confidence (required)
:param confidence: The confidence of this ContentAdvisory.
:type: AdvisoryConfidence
"""
if confidence is not None:
if not isinstance(confidence, AdvisoryConfidence):
raise TypeError("Invalid type for `confidence`, type has to be `AdvisoryConfidence`")
self._confidence = confidence
@property
def reason(self):
# type: () -> string_types
"""Gets the reason of this ContentAdvisory.
A short explanation of what was seen in the shot
:return: The reason of this ContentAdvisory.
:rtype: string_types
"""
return self._reason
@reason.setter
def reason(self, reason):
# type: (string_types) -> None
"""Sets the reason of this ContentAdvisory.
A short explanation of what was seen in the shot
:param reason: The reason of this ContentAdvisory.
:type: string_types
"""
if reason is not None:
if not isinstance(reason, string_types):
raise TypeError("Invalid type for `reason`, type has to be `string_types`")
self._reason = reason
[docs]
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 value is None:
continue
if isinstance(value, list):
if len(value) == 0:
continue
result[self.attribute_map.get(attr)] = [y.value if isinstance(y, Enum) else y for y in [x.to_dict() if hasattr(x, "to_dict") else x for x in value]]
elif hasattr(value, "to_dict"):
result[self.attribute_map.get(attr)] = value.to_dict()
elif isinstance(value, Enum):
result[self.attribute_map.get(attr)] = value.value
elif isinstance(value, dict):
result[self.attribute_map.get(attr)] = {k: (v.to_dict() if hasattr(v, "to_dict") else v) for (k, v) in value.items()}
else:
result[self.attribute_map.get(attr)] = value
return result
[docs]
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ContentAdvisory):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other