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from datetime import datetime
from collections import namedtuple
def with_metaclass(meta, *bases):
return meta("NewBase", bases, {})
class Field(namedtuple("Field", ["field", "default", "formatter"])):
def __new__(cls, field, default=None, formatter=None):
return super(Field, cls).__new__(cls, field, default, formatter)
class SyntheticField(namedtuple("SyntheticField", ["field"])):
"""Field That Requires Synthesis
Synthetic fields may exist in the data but generally do not and require
additional synthesis to arrive ate a sane value. Subclasses must define
a formatter method that receives an API client, field name, and full data
payload.
"""
default = None
@staticmethod
def formatter(api_client, field, data): # pragma: no cover
raise NotImplementedError
class ModelMetaClass(type):
def __new__(cls, name, parents, dct):
dct["_fields"] = fields = {}
new_dct = dct.copy()
for key, val in dct.items():
if key.startswith("__"):
continue
if isinstance(val, Field) or isinstance(val, SyntheticField):
fields[key] = val
del new_dct[key]
return super(ModelMetaClass, cls).__new__(cls, name, parents, new_dct)
class PandoraModel(with_metaclass(ModelMetaClass, object)):
@staticmethod
def json_to_date(api_client, data):
return datetime.utcfromtimestamp(data["time"] / 1000)
@classmethod
def from_json_list(cls, api_client, data):
return [cls.from_json(api_client, item) for item in data]
def __init__(self, api_client):
self._api_client = api_client
safe_types = (type(None), str, bytes, int, bool)
for key, value in self._fields.items():
default = value.default
if not isinstance(default, safe_types):
default = type(default)()
setattr(self, key, default)
@staticmethod
def populate_fields(api_client, instance, data):
for key, value in instance.__class__._fields.items():
newval = data.get(value.field, value.default)
if isinstance(value, SyntheticField):
newval = value.formatter(api_client, value.field, data, newval)
setattr(instance, key, newval)
continue
if newval and value.formatter:
newval = value.formatter(api_client, newval)
setattr(instance, key, newval)
@classmethod
def from_json(cls, api_client, data):
self = cls(api_client)
PandoraModel.populate_fields(api_client, self, data)
return self
def _base_repr(self, and_also=None):
items = [
"=".join((key, repr(getattr(self, key))))
for key in sorted(self._fields.keys())]
if items:
output = ", ".join(items)
else:
output = None
if and_also:
return "{}({}, {})".format(self.__class__.__name__,
output, and_also)
else:
return "{}({})".format(self.__class__.__name__, output)
def __repr__(self):
return self._base_repr()
class PandoraListModel(PandoraModel, list):
__list_key__ = None
__list_model__ = None
__index_key__ = None
def __init__(self, *args, **kwargs):
super(PandoraListModel, self).__init__(*args, **kwargs)
self._index = {}
@classmethod
def from_json(cls, api_client, data):
self = cls(api_client)
PandoraModel.populate_fields(api_client, self, data)
for item in data[cls.__list_key__]:
model = cls.__list_model__.from_json(api_client, item)
if self.__index_key__:
value = getattr(model, self.__index_key__)
self._index[value] = model
self.append(model)
return self
def __getitem__(self, key):
item = self._index.get(key, None)
if item:
return item
else:
return list.__getitem__(self, key)
def __contains__(self, key):
if key in self._index:
return True
else:
return list.__contains__(self, key)
def keys(self):
return self._index.keys()
def items(self):
return self._index.items()
def __repr__(self):
return self._base_repr(and_also=list.__repr__(self))
class PandoraDictListModel(PandoraModel, dict):
__dict_list_key__ = None
__dict_key__ = None
__list_key__ = None
__list_model__ = None
@classmethod
def from_json(cls, api_client, data):
self = cls(api_client)
PandoraModel.populate_fields(api_client, self, data)
for item in data[self.__dict_list_key__]:
key = item[self.__dict_key__]
self[key] = []
for part in item[self.__list_key__]:
self[key].append(
cls.__list_model__.from_json(api_client, part))
return self
def __repr__(self):
return self._base_repr(and_also=dict.__repr__(self))
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