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fawce
97 lines
2.4 KiB
Python
97 lines
2.4 KiB
Python
import copy
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import pandas
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from ctypes import Structure, c_ubyte
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def Enum(*options):
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"""
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Fast enums are very important when we want really tight zmq
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loops. These are probably going to evolve into pure C structs
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anyways so might as well get going on that.
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"""
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class cstruct(Structure):
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_fields_ = [(o, c_ubyte) for o in options]
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return cstruct(*range(len(options)))
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def FrameExceptionFactory(name):
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"""
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Exception factory with a closure around the frame class name.
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"""
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class InvalidFrame(Exception):
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def __init__(self, got):
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self.got = got
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def __str__(self):
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return "Invalid {framecls} Frame: {got}".format(
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framecls = name,
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got = self.got,
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)
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return InvalidFrame
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class namedict(object):
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"""
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Namedicts are dict like objects that have fields accessible by attribute lookup
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as well as being indexable and iterable::
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HEARTBEAT_PROTOCOL = namedict({
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'REQ' : b'\x01',
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'REP' : b'\x02',
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})
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HEARTBEAT_PROTOCOL.REQ # syntactic sugar
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HEARTBEAT_PROTOCOL.REP # oh suga suga
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For more complex structs use collections.namedtuple:
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"""
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def __init__(self, dct=None):
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if(dct):
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self.__dict__.update(dct)
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def __setitem__(self, key, value):
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"""
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Required for use by pymongo as_class parameter to find.
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"""
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if(key == '_id'):
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self.__dict__['id'] = value
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else:
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self.__dict__[key] = value
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def __getitem__(self, key):
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return self.__dict__[key]
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def keys(self):
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return self.__dict__.keys()
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def as_dict(self):
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# shallow copy is O(n)
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return copy.copy(self.__dict__)
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def delete(self, key):
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del(self.__dict__[key])
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def merge(self, other_nd):
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assert isinstance(other_nd, namedict)
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self.__dict__.update(other_nd.__dict__)
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def __repr__(self):
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return "namedict: " + str(self.__dict__)
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def __eq__(self, other):
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# !!!!!!!!!!!!!!!!!!!!
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# !!!! DANGEROUS !!!!!
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# !!!!!!!!!!!!!!!!!!!!
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return other != None and self.__dict__ == other.__dict__
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def has_attr(self, name):
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return self.__dict__.has_key(name)
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def __getitem__(self, key):
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return self.__dict__[key]
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def as_series(self):
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s = pandas.Series(self.__dict__)
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s.name = self.sid
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return s
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