def __new__(cls, unit, qty, price, groupby, metadata):
return _DataPointBase.__new__(
cls,
unit or "undefined",
# NOTE(peschk_l): avoids floating-point issues.
decimal.Decimal(str(qty) if isinstance(qty, float) else qty),
decimal.Decimal(str(price) if isinstance(price, float) else price),
datastructures.ImmutableDict(groupby),
datastructures.ImmutableDict(metadata),
)
def reload(self):
"""read collection to dictionary"""
with self._context:
rows = tuple(self._collection.find({}))
self._store = {
row[PRIMARY_KEY]: datastruct.ImmutableDict(row)
for row in rows
}
def as_dict(self, legacy=False, mutable=False):
output = {
"period": {"begin": self.start, "end": self.end},
"usage": {
key: [v.as_dict(legacy=legacy, mutable=mutable) for v in val]
for key, val in self._usage.items()
},
}
return output if mutable else datastructures.ImmutableDict(output)
def as_dict(self, legacy=False, mutable=False):
"""Returns a dict representation of the object.
The returned dict is immutable by default and has the
following format::
{
"vol": {
"unit": "GiB",
"qty": 1.2,
},
"rating": {
"price": 0.04,
},
"groupby": {
"group_one": "one",
"group_two": "two",
},
"metadata": {
"attr_one": "one",
"attr_two": "two",
},
}
The dict can also be returned in the legacy (v1 storage) format. In
that case, `groupby` and `metadata` will be removed and merged together
into the `desc` key.
:param legacy: Defaults to False. If True, returned dict is in legacy
format.
:type legacy: bool
:param mutable: Defaults to False. If True, returns a normal dict
instead of an ImmutableDict.
:type mutable: bool
"""
output = {
"vol": {
"unit": self.unit,
"qty": self.qty,
},
"rating": {
"price": self.price,
},
"groupby": dict(self.groupby) if mutable else self.groupby,
"metadata": dict(self.metadata) if mutable else self.metadata,
}
if legacy:
desc = output.pop("metadata")
desc.update(output.pop("groupby"))
output['desc'] = desc
return output if mutable else datastructures.ImmutableDict(output)
def __setitem__(self, key, value):
"""store key-value to collection (lazy if value isn't changed)"""
assert PRIMARY_KEY not in value or value[PRIMARY_KEY] == key
# copy before write
value = dict(value)
value[PRIMARY_KEY] = key
# do nothing on no changes
if key in self._store.keys() and value == self._store[key]:
return
with self._context:
self._collection.find_one_and_replace({PRIMARY_KEY: key},
value,
upsert=True)
self._store[key] = datastruct.ImmutableDict(value)
def desc(self):
output = dict(self.metadata)
output.update(self.groupby)
return datastructures.ImmutableDict(output)
