# coding: utf-8
from enum import Enum
from datetime import datetime
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
import pprint
import six
[docs]class AnalyticsQueryTimeframe(object):
@poscheck_model
def __init__(self,
start=None,
end=None):
# type: (datetime, datetime) -> None
self._start = None
self._end = None
self.discriminator = None
if start is not None:
self.start = start
if end is not None:
self.end = end
@property
def openapi_types(self):
types = {
'start': 'datetime',
'end': 'datetime'
}
return types
@property
def attribute_map(self):
attributes = {
'start': 'start',
'end': 'end'
}
return attributes
@property
def start(self):
# type: () -> datetime
"""Gets the start of this AnalyticsQueryTimeframe.
Start of timeframe which is queried in UTC format.
:return: The start of this AnalyticsQueryTimeframe.
:rtype: datetime
"""
return self._start
@start.setter
def start(self, start):
# type: (datetime) -> None
"""Sets the start of this AnalyticsQueryTimeframe.
Start of timeframe which is queried in UTC format.
:param start: The start of this AnalyticsQueryTimeframe.
:type: datetime
"""
if start is not None:
if not isinstance(start, datetime):
raise TypeError("Invalid type for `start`, type has to be `datetime`")
self._start = start
@property
def end(self):
# type: () -> datetime
"""Gets the end of this AnalyticsQueryTimeframe.
End of timeframe which is queried in UTC format.
:return: The end of this AnalyticsQueryTimeframe.
:rtype: datetime
"""
return self._end
@end.setter
def end(self, end):
# type: (datetime) -> None
"""Sets the end of this AnalyticsQueryTimeframe.
End of timeframe which is queried in UTC format.
:param end: The end of this AnalyticsQueryTimeframe.
:type: datetime
"""
if end is not None:
if not isinstance(end, datetime):
raise TypeError("Invalid type for `end`, type has to be `datetime`")
self._end = end
[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, AnalyticsQueryTimeframe):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other