mirror of
https://github.com/wassname/catalyst.git
synced 2026-06-28 23:55:55 +08:00
774 lines
21 KiB
Python
774 lines
21 KiB
Python
"""
|
|
The messaging protocol for Zipline.
|
|
|
|
Asserts are in place because any protocol error corresponds to a
|
|
programmer error so we want it to fail fast and in an obvious way
|
|
so it doesn't happen again. ZeroMQ follows the same philosophy.
|
|
|
|
Notes
|
|
=====
|
|
|
|
Msgpack
|
|
-------
|
|
Msgpack is the fastest serialization protocol in Python at the
|
|
moment. Its 100% C is typically orders of magnitude faster than
|
|
json and pickle making it awesome for ZeroMQ.
|
|
|
|
You can only serialize Python structural primitives: strings,
|
|
numeric types, dicts, tuples and lists. Any any recursive
|
|
combinations of these.
|
|
|
|
Basically every basestring in Python corresponds to valid
|
|
msgpack message since the protocol is highly error tolerant.
|
|
Just keep in mind that if you ever unpack a raw msgpack string
|
|
make sure it looks like what you intend and/or catch ValueError
|
|
and TypeError exceptions.
|
|
|
|
It also has the nice benefit of never invoking ``eval`` ( unlike
|
|
json and pickle) which is a major security boon since it is
|
|
impossible to arbitrary code for evaluation through messages.
|
|
|
|
UltraJSON
|
|
---------
|
|
For anything going to the browser UltraJSON is the fastest
|
|
serializer, its mostly C as well.
|
|
|
|
The same domain of serialization as msgpack applies: Python
|
|
structural primitives. It also has the additional constraint
|
|
that anything outside of UTF8 can cause serious problems, so if
|
|
you have a strong desire to JSON encode ancient Sanskrit
|
|
( admit it, we all do ), just say no.
|
|
|
|
Data Structures
|
|
===============
|
|
|
|
Enum
|
|
----
|
|
|
|
Classic C style enumeration::
|
|
|
|
opts = Enum('FOO', 'BAR')
|
|
|
|
opts.FOO # 0
|
|
opts.BAR # 1
|
|
opts.FOO = opts.BAR # False
|
|
|
|
Oh, and if you do this::
|
|
|
|
protocol.Enum([1,2,3])
|
|
|
|
Your interpreter will segfault, think of this like an extreme assert.
|
|
|
|
Namedict
|
|
--------
|
|
|
|
Namedicts are dict like objects that have fields accessible by attribute lookup
|
|
as well as being indexable and iterable::
|
|
|
|
HEARTBEAT_PROTOCOL = namedict({
|
|
'REQ' : b'\x01',
|
|
'REP' : b'\x02',
|
|
})
|
|
|
|
HEARTBEAT_PROTOCOL.REQ # syntactic sugar
|
|
HEARTBEAT_PROTOCOL.REP # oh suga suga
|
|
|
|
HEARTBEAT_PROTOCOL['REQ'] # classic dictionary index
|
|
|
|
Namedtuple
|
|
----------
|
|
|
|
From the standard library, namedtuples are great for specifying
|
|
containers for spec'ing data container objects::
|
|
|
|
from collections import namedtuple
|
|
|
|
Person = namedtuple('Person', 'name age gender')
|
|
bob = Person(name='Bob', age=30, gender='male')
|
|
|
|
bob.name # 'Bob'
|
|
bob.age # 30
|
|
bob.gender # male
|
|
|
|
# The slots on the tuple are also finite and read-only. This
|
|
# is a good thing, keeps us honest!
|
|
|
|
bob.hobby = 'underwater archery'
|
|
# Will raise:
|
|
# AttributeError: 'Person' object has no attribute 'hobby'
|
|
|
|
bob.name = 'joe'
|
|
# Will raise:
|
|
# AttributeError: can't set attribute
|
|
|
|
# Namedtuples are normally read-only, but you can change the
|
|
# internals using a private operation.
|
|
bob._replace(gender='female')
|
|
|
|
# You can also dump out to dictionary form:
|
|
OrderedDict([('name', 'Bob'), ('age', 30), ('gender', 'male')])
|
|
|
|
# Or JSON.
|
|
json.dumps(bob._asdict())
|
|
'{"gender":"male","age":30,"name":"Bob"}'
|
|
|
|
"""
|
|
|
|
import msgpack
|
|
import numbers
|
|
import datetime
|
|
import pytz
|
|
import numpy
|
|
import time
|
|
import copy
|
|
from collections import namedtuple
|
|
|
|
from protocol_utils import Enum, FrameExceptionFactory, namedict
|
|
from date_utils import EPOCH, UN_EPOCH
|
|
|
|
#import ujson
|
|
#import ultrajson_numpy
|
|
|
|
# -----------------------
|
|
# Control Protocol
|
|
# -----------------------
|
|
|
|
INVALID_CONTROL_FRAME = FrameExceptionFactory('CONTROL')
|
|
|
|
CONTROL_STATES = Enum(
|
|
'RUNNING',
|
|
'SHUTDOWN', # a soft kill
|
|
'TERMINATE', # a hard kill
|
|
)
|
|
|
|
CONTROL_PROTOCOL = Enum(
|
|
'HEARTBEAT' , # 0 - req
|
|
'SHUTDOWN' , # 1 - req
|
|
'KILL' , # 2 - req
|
|
|
|
'OK' , # 3 - rep
|
|
'DONE' , # 4 - rep
|
|
'EXCEPTION' , # 5 - rep
|
|
)
|
|
|
|
def CONTROL_FRAME(event, payload):
|
|
assert isinstance(event, int,)
|
|
assert isinstance(payload, basestring)
|
|
|
|
return msgpack.dumps(tuple([event, payload]))
|
|
|
|
def CONTROL_UNFRAME(msg):
|
|
"""
|
|
A status code and a message.
|
|
"""
|
|
assert isinstance(msg, basestring)
|
|
|
|
try:
|
|
event, payload = msgpack.loads(msg)
|
|
assert isinstance(event, int)
|
|
assert isinstance(payload, basestring)
|
|
|
|
return event, payload
|
|
except TypeError:
|
|
raise INVALID_CONTROL_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_CONTROL_FRAME(msg)
|
|
|
|
# -----------------------
|
|
# Heartbeat Protocol
|
|
# -----------------------
|
|
|
|
# These encode the msgpack equivelant of 1 and 2. The heartbeat
|
|
# frame should only be 1 byte on the wire.
|
|
|
|
HEARTBEAT_PROTOCOL = namedict({
|
|
'REQ' : b'\x01',
|
|
'REP' : b'\x02',
|
|
})
|
|
|
|
# -----------------------
|
|
# Component State
|
|
# -----------------------
|
|
|
|
COMPONENT_TYPE = Enum(
|
|
'SOURCE' , # 0
|
|
'CONDUIT' , # 1
|
|
'SINK' , # 2
|
|
)
|
|
|
|
COMPONENT_STATE = Enum(
|
|
'OK' , # 0
|
|
'DONE' , # 1
|
|
'EXCEPTION' , # 2
|
|
)
|
|
|
|
# NOFAILURE - Component is either not running or has not failed
|
|
# ALGOEXCEPT - Exception thrown in the given algorithm
|
|
# HOSTEXCEPT - Exception thrown on our end.
|
|
# INTERRUPT - Manually interuptted by user
|
|
|
|
COMPONENT_FAILURE = Enum(
|
|
'NOFAILURE' ,
|
|
'ALGOEXCEPT' ,
|
|
'HOSTEXCEPT' ,
|
|
'INTERRUPT' ,
|
|
)
|
|
|
|
BACKTEST_STATE = Enum(
|
|
'IDLE' ,
|
|
'QUEUED' ,
|
|
'INPROGRESS' ,
|
|
'CANCELLED' , # cancelled ( before natural completion )
|
|
'EXCEPTION' , # failure ( due to unnatural causes )
|
|
'DONE' , # done ( naturally completed )
|
|
)
|
|
|
|
# -----------------------
|
|
# Datasource Protocol
|
|
# -----------------------
|
|
|
|
INVALID_DATASOURCE_FRAME = FrameExceptionFactory('DATASOURCE')
|
|
|
|
def DATASOURCE_FRAME(event):
|
|
"""
|
|
Wraps any datasource payload with id and type, so that unpacking may choose
|
|
the write UNFRAME for the payload.
|
|
|
|
:param event: namedict with following properties
|
|
|
|
- *ds_id* an identifier that is unique to the datasource in the context of a component host (e.g. Simulator)
|
|
- *ds_type* a string denoting the datasource type. Must be on of:
|
|
|
|
- TRADE
|
|
- (others to follow soon)
|
|
|
|
- *payload* a msgpack string carrying the payload for the frame
|
|
"""
|
|
|
|
assert isinstance(event.source_id, basestring)
|
|
assert isinstance(event.type, int), 'Unexpected type %s' % (event.type)
|
|
|
|
#datasources will send sometimes send empty msgs to feel gaps
|
|
if len(event.keys()) == 2:
|
|
return msgpack.dumps(tuple([
|
|
event.type,
|
|
event.source_id,
|
|
DATASOURCE_TYPE.EMPTY
|
|
]))
|
|
|
|
if(event.type == DATASOURCE_TYPE.TRADE):
|
|
return msgpack.dumps(tuple([
|
|
event.type,
|
|
event.source_id,
|
|
TRADE_FRAME(event)
|
|
]))
|
|
elif(event.type == DATASOURCE_TYPE.ORDER):
|
|
return msgpack.dumps(tuple([
|
|
event.type,
|
|
event.source_id,
|
|
ORDER_SOURCE_FRAME(event)
|
|
]))
|
|
else:
|
|
raise INVALID_DATASOURCE_FRAME(str(event))
|
|
|
|
def DATASOURCE_UNFRAME(msg):
|
|
"""
|
|
|
|
Extracts payload, and calls correct UNFRAME method based on the \
|
|
datasource type passed along.
|
|
|
|
Returns a dict containing at least:
|
|
|
|
- source_id
|
|
- type
|
|
|
|
other properties are added based on the datasource type:
|
|
|
|
- TRADE
|
|
|
|
- sid - int security identifier
|
|
- price - float
|
|
- volume - int
|
|
- dt - a datetime object
|
|
|
|
"""
|
|
|
|
try:
|
|
ds_type, source_id, payload = msgpack.loads(msg)
|
|
assert isinstance(ds_type, int)
|
|
rval = namedict({'source_id':source_id})
|
|
if payload == DATASOURCE_TYPE.EMPTY:
|
|
child_value = namedict({'dt':None})
|
|
elif(ds_type == DATASOURCE_TYPE.TRADE):
|
|
child_value = TRADE_UNFRAME(payload)
|
|
elif(ds_type == DATASOURCE_TYPE.ORDER):
|
|
child_value = ORDER_SOURCE_UNFRAME(payload)
|
|
else:
|
|
raise INVALID_DATASOURCE_FRAME(msg)
|
|
|
|
rval.merge(child_value)
|
|
return rval
|
|
|
|
except TypeError:
|
|
raise INVALID_DATASOURCE_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_DATASOURCE_FRAME(msg)
|
|
|
|
# -----------------------
|
|
# Feed Protocol
|
|
# -----------------------
|
|
|
|
INVALID_FEED_FRAME = FrameExceptionFactory('FEED')
|
|
|
|
def FEED_FRAME(event):
|
|
"""
|
|
:param event: a nameddict with at least
|
|
|
|
- source_id
|
|
- type
|
|
"""
|
|
assert isinstance(event, namedict)
|
|
source_id = event.source_id
|
|
ds_type = event.type
|
|
PACK_DATE(event)
|
|
payload = event.as_dict()
|
|
return msgpack.dumps(payload)
|
|
|
|
def FEED_UNFRAME(msg):
|
|
try:
|
|
payload = msgpack.loads(msg)
|
|
#TODO: anything we can do to assert more about the content of the dict?
|
|
assert isinstance(payload, dict)
|
|
rval = namedict(payload)
|
|
UNPACK_DATE(rval)
|
|
return rval
|
|
except TypeError:
|
|
raise INVALID_FEED_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_FEED_FRAME(msg)
|
|
|
|
# -----------------------
|
|
# Transform Protocol
|
|
# -----------------------
|
|
|
|
INVALID_TRANSFORM_FRAME = FrameExceptionFactory('TRANSFORM')
|
|
|
|
def TRANSFORM_FRAME(name, value):
|
|
assert isinstance(name, basestring)
|
|
if value == None:
|
|
return msgpack.dumps(tuple([name, TRANSFORM_TYPE.EMPTY]))
|
|
if(name == TRANSFORM_TYPE.TRANSACTION):
|
|
value = TRANSACTION_FRAME(value)
|
|
return msgpack.dumps(tuple([name, value]))
|
|
|
|
def TRANSFORM_UNFRAME(msg):
|
|
"""
|
|
:rtype: namedict with <transform_name>:<transform_value>
|
|
"""
|
|
try:
|
|
|
|
name, value = msgpack.loads(msg)
|
|
if(value == TRANSFORM_TYPE.EMPTY):
|
|
return namedict({name : None})
|
|
#TODO: anything we can do to assert more about the content of the dict?
|
|
assert isinstance(name, basestring)
|
|
if(name == TRANSFORM_TYPE.PASSTHROUGH):
|
|
value = FEED_UNFRAME(value)
|
|
elif(name == TRANSFORM_TYPE.TRANSACTION):
|
|
value = TRANSACTION_UNFRAME(value)
|
|
|
|
return namedict({name : value})
|
|
except TypeError:
|
|
raise INVALID_TRANSFORM_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_TRANSFORM_FRAME(msg)
|
|
|
|
# -----------------------
|
|
# Merge Protocol
|
|
# -----------------------
|
|
INVALID_MERGE_FRAME = FrameExceptionFactory('MERGE')
|
|
|
|
def MERGE_FRAME(event):
|
|
"""
|
|
:param event: a nameddict with at least:
|
|
|
|
- source_id
|
|
- type
|
|
"""
|
|
assert isinstance(event, namedict)
|
|
PACK_DATE(event)
|
|
if(event.has_attr(TRANSFORM_TYPE.TRANSACTION)):
|
|
if(event.TRANSACTION == None):
|
|
event.TRANSACTION = TRANSFORM_TYPE.EMPTY
|
|
else:
|
|
event.TRANSACTION = TRANSACTION_FRAME(event.TRANSACTION)
|
|
payload = event.as_dict()
|
|
return msgpack.dumps(payload)
|
|
|
|
def MERGE_UNFRAME(msg):
|
|
try:
|
|
payload = msgpack.loads(msg)
|
|
#TODO: anything we can do to assert more about the content of the dict?
|
|
assert isinstance(payload, dict)
|
|
payload = namedict(payload)
|
|
if(payload.has_attr(TRANSFORM_TYPE.TRANSACTION)):
|
|
if(payload.TRANSACTION == TRANSFORM_TYPE.EMPTY):
|
|
payload.TRANSACTION = None
|
|
else:
|
|
payload.TRANSACTION = TRANSACTION_UNFRAME(payload.TRANSACTION)
|
|
UNPACK_DATE(payload)
|
|
return payload
|
|
except TypeError:
|
|
raise INVALID_MERGE_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_MERGE_FRAME(msg)
|
|
|
|
|
|
# -----------------------
|
|
# Finance Protocol
|
|
# -----------------------
|
|
INVALID_ORDER_FRAME = FrameExceptionFactory('ORDER')
|
|
INVALID_TRADE_FRAME = FrameExceptionFactory('TRADE')
|
|
|
|
# -----------------------
|
|
# Trades
|
|
# -----------------------
|
|
#
|
|
# - Should only be called from inside DATASOURCE_ (UN)FRAME.
|
|
|
|
def TRADE_FRAME(event):
|
|
"""
|
|
:param event: should be a namedict with:
|
|
|
|
- ds_id -- the datasource id sending this trade out
|
|
- sid -- the security id
|
|
- price -- float of the price printed for the trade
|
|
- volume -- int for shares in the trade
|
|
- dt -- datetime for the trade
|
|
|
|
"""
|
|
assert isinstance(event, namedict)
|
|
assert event.type == DATASOURCE_TYPE.TRADE
|
|
assert isinstance(event.sid, int)
|
|
assert isinstance(event.price, numbers.Real)
|
|
assert isinstance(event.volume, numbers.Integral)
|
|
PACK_DATE(event)
|
|
return msgpack.dumps(tuple([
|
|
event.sid,
|
|
event.price,
|
|
event.volume,
|
|
event.dt,
|
|
event.type,
|
|
]))
|
|
|
|
def TRADE_UNFRAME(msg):
|
|
try:
|
|
packed = msgpack.loads(msg)
|
|
sid, price, volume, dt, source_type = packed
|
|
|
|
assert isinstance(sid, int)
|
|
assert isinstance(price, numbers.Real)
|
|
assert isinstance(volume, numbers.Integral)
|
|
rval = namedict({
|
|
'sid' : sid,
|
|
'price' : price,
|
|
'volume' : volume,
|
|
'dt' : dt,
|
|
'type' : source_type
|
|
})
|
|
UNPACK_DATE(rval)
|
|
return rval
|
|
except TypeError:
|
|
raise INVALID_TRADE_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_TRADE_FRAME(msg)
|
|
|
|
# -----------------------
|
|
# Orders
|
|
# -----------------------
|
|
# - from client to order source
|
|
|
|
def ORDER_FRAME(order):
|
|
assert isinstance(order.sid, int)
|
|
assert isinstance(order.amount, int) #no partial shares...
|
|
PACK_DATE(order)
|
|
return msgpack.dumps(tuple([
|
|
order.sid,
|
|
order.amount,
|
|
order.dt
|
|
]))
|
|
|
|
|
|
def ORDER_UNFRAME(msg):
|
|
try:
|
|
sid, amount, dt = msgpack.loads(msg)
|
|
assert isinstance(sid, int)
|
|
assert isinstance(amount, int)
|
|
rval = namedict({
|
|
'sid':sid,
|
|
'amount':amount,
|
|
'dt':dt
|
|
})
|
|
UNPACK_DATE(rval)
|
|
return rval
|
|
except TypeError:
|
|
raise INVALID_ORDER_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_ORDER_FRAME(msg)
|
|
|
|
|
|
# -----------------------
|
|
# TRANSACTIONS
|
|
# -----------------------
|
|
#
|
|
# - Should only be called from inside TRANSFORM_(UN)FRAME.
|
|
|
|
|
|
|
|
def TRANSACTION_FRAME(event):
|
|
assert isinstance(event, namedict)
|
|
assert isinstance(event.sid, int)
|
|
assert isinstance(event.price, numbers.Real)
|
|
assert isinstance(event.commission, numbers.Real)
|
|
assert isinstance(event.amount, int)
|
|
PACK_DATE(event)
|
|
return msgpack.dumps(tuple([
|
|
event.sid,
|
|
event.price,
|
|
event.amount,
|
|
event.commission,
|
|
event.dt
|
|
]))
|
|
|
|
def TRANSACTION_UNFRAME(msg):
|
|
try:
|
|
sid, price, amount, commission, dt = msgpack.loads(msg)
|
|
|
|
assert isinstance(sid, int)
|
|
assert isinstance(price, numbers.Real)
|
|
assert isinstance(commission, numbers.Real)
|
|
assert isinstance(amount, int)
|
|
rval = namedict({
|
|
'sid' : sid,
|
|
'price' : price,
|
|
'amount' : amount,
|
|
'commission' : commission,
|
|
'dt' : dt
|
|
})
|
|
|
|
UNPACK_DATE(rval)
|
|
return rval
|
|
except TypeError:
|
|
raise INVALID_TRADE_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_TRADE_FRAME(msg)
|
|
|
|
|
|
# -----------------------
|
|
# ORDERS
|
|
# -----------------------
|
|
#
|
|
# - from order source to feed
|
|
# - should only be called from inside DATASOURCE_(UN)FRAME
|
|
|
|
|
|
def ORDER_SOURCE_FRAME(event):
|
|
assert isinstance(event.sid, int)
|
|
assert isinstance(event.amount, int) #no partial shares...
|
|
assert isinstance(event.source_id, basestring)
|
|
assert event.type == DATASOURCE_TYPE.ORDER
|
|
PACK_DATE(event)
|
|
return msgpack.dumps(tuple([
|
|
event.sid,
|
|
event.amount,
|
|
event.dt,
|
|
event.source_id,
|
|
event.type
|
|
]))
|
|
|
|
|
|
def ORDER_SOURCE_UNFRAME(msg):
|
|
try:
|
|
sid, amount, dt, source_id, source_type = msgpack.loads(msg)
|
|
event = namedict({
|
|
"sid" : sid,
|
|
"amount" : amount,
|
|
"dt" : dt,
|
|
"source_id" : source_id,
|
|
"type" : source_type
|
|
})
|
|
assert isinstance(sid, int)
|
|
assert isinstance(amount, int)
|
|
assert isinstance(source_id, basestring)
|
|
assert isinstance(source_type, int)
|
|
UNPACK_DATE(event)
|
|
return event
|
|
except TypeError:
|
|
raise INVALID_ORDER_FRAME(msg)
|
|
except ValueError:
|
|
raise INVALID_ORDER_FRAME(msg)
|
|
|
|
# -----------------------
|
|
# Performance and Risk
|
|
# -----------------------
|
|
|
|
def PERF_FRAME(perf):
|
|
"""
|
|
Frame the performance update created at the end of each simulated trading
|
|
day. The msgpack is a tuple with the first element statically set to 'PERF'.
|
|
Like RISK_FRAME, this method calls BT_UPDATE_FRAME internally, so that
|
|
clients can call BT_UPDATE_UNFRAME for all messages from the backtest.
|
|
|
|
:param perf: the dictionary created by zipline.trade_client.perf
|
|
:rvalue: a msgpack string
|
|
"""
|
|
|
|
#TODO: add asserts...
|
|
|
|
assert isinstance(perf['started_at'], datetime.datetime)
|
|
assert isinstance(perf['period_start'], datetime.datetime)
|
|
assert isinstance(perf['period_end'], datetime.datetime)
|
|
|
|
assert isinstance(perf['daily_perf'], dict)
|
|
assert isinstance(perf['cumulative_perf'], dict)
|
|
|
|
tp = perf['daily_perf']
|
|
cp = perf['cumulative_perf']
|
|
|
|
assert isinstance(tp['transactions'], list)
|
|
# we never want to send transactions for the cumulative period.
|
|
# performance.py should never send them, but just to be safe:
|
|
assert not cp.has_key('transactions')
|
|
assert isinstance(tp['positions'], list)
|
|
assert isinstance(cp['positions'], list)
|
|
assert isinstance(tp['period_close'], datetime.datetime)
|
|
assert isinstance(tp['period_open'], datetime.datetime)
|
|
assert isinstance(cp['period_close'], datetime.datetime)
|
|
assert isinstance(cp['period_open'], datetime.datetime)
|
|
|
|
perf['started_at'] = EPOCH(perf['started_at'])
|
|
perf['period_start'] = EPOCH(perf['period_start'])
|
|
perf['period_end'] = EPOCH(perf['period_end'])
|
|
tp['period_close'] = EPOCH(tp['period_close'])
|
|
tp['period_open'] = EPOCH(tp['period_open'])
|
|
cp['period_close'] = EPOCH(cp['period_close'])
|
|
cp['period_open'] = EPOCH(cp['period_open'])
|
|
|
|
tp['transactions'] = convert_transactions(tp['transactions'])
|
|
|
|
return BT_UPDATE_FRAME('PERF', perf)
|
|
|
|
def convert_transactions(transactions):
|
|
results = []
|
|
for txn in transactions:
|
|
txn['date'] = EPOCH(txn['dt'])
|
|
del(txn['dt'])
|
|
del(txn['source_id'])
|
|
results.append(txn)
|
|
return results
|
|
|
|
def RISK_FRAME(risk):
|
|
return BT_UPDATE_FRAME('RISK', risk)
|
|
|
|
def BT_UPDATE_FRAME(prefix, payload):
|
|
"""
|
|
Frames prepared by RISK_FRAME and PERF_FRAME methods are sent via the same
|
|
socket. This method provides a prefix to allow for muxing the messages
|
|
onto a single socket.
|
|
"""
|
|
return msgpack.dumps(tuple([prefix, payload]))
|
|
|
|
def BT_UPDATE_UNFRAME(msg):
|
|
"""
|
|
Risk and Perf framing methods prefix the payload with
|
|
a shorthand for their type. That way, all messages received from the socket
|
|
can be PERF_FRAMED(), whether they are risk or perf.
|
|
"""
|
|
prefix, payload = msgpack.loads(msg, use_list=True)
|
|
return dict(prefix=prefix, payload=payload)
|
|
|
|
# -----------------------
|
|
# Date Helpers
|
|
# -----------------------
|
|
|
|
def PACK_DATE(event):
|
|
"""
|
|
Packs the datetime property of event into msgpack'able longs.
|
|
This function should be called purely for its side effects.
|
|
The event's 'dt' property is replaced by a tuple of integers
|
|
|
|
- year, month, day, hour, minute, second, microsecond
|
|
|
|
PACK_DATE and UNPACK_DATE are inverse operations.
|
|
|
|
:param event: event must a namedict with a property named 'dt' that is a datetime.
|
|
:rtype: None
|
|
"""
|
|
assert isinstance(event.dt, datetime.datetime)
|
|
# utc only please
|
|
assert event.dt.tzinfo == pytz.utc
|
|
event['dt'] = date_to_tuple(event['dt'])
|
|
|
|
def date_to_tuple(dt):
|
|
year, month, day, hour, minute, second = dt.timetuple()[0:6]
|
|
micros = dt.microsecond
|
|
return tuple([year, month, day, hour, minute, second, micros])
|
|
|
|
def UNPACK_DATE(event):
|
|
"""
|
|
Unpacks the datetime property of event from msgpack'able longs.
|
|
This function should be called purely for its side effects.
|
|
The event's 'dt' property is converted to a datetime by reading and then
|
|
combining a tuple of integers.
|
|
|
|
UNPACK_DATE and PACK_DATE are inverse operations.
|
|
|
|
:param tuple event: event must a namedict with:
|
|
|
|
- a property named 'dt_tuple' that is a tuple of integers \
|
|
representing the date and time in UTC.
|
|
- dt_tuple must have year, month, day, hour, minute, second, and microsecond
|
|
|
|
:rtype: None
|
|
"""
|
|
assert isinstance(event.dt, tuple)
|
|
assert len(event.dt) == 7
|
|
for item in event.dt:
|
|
assert isinstance(item, numbers.Integral)
|
|
event.dt = tuple_to_date(event.dt)
|
|
|
|
def tuple_to_date(date_tuple):
|
|
year, month, day, hour, minute, second, micros = date_tuple
|
|
dt = datetime.datetime(year, month, day, hour, minute, second)
|
|
dt = dt.replace(microsecond = micros, tzinfo = pytz.utc)
|
|
return dt
|
|
|
|
DATASOURCE_TYPE = Enum(
|
|
'ORDER',
|
|
'TRADE',
|
|
'EMPTY',
|
|
)
|
|
|
|
ORDER_PROTOCOL = Enum(
|
|
'DONE',
|
|
'BREAK',
|
|
)
|
|
|
|
|
|
#Transform type needs to be a namedict to facilitate merging.
|
|
TRANSFORM_TYPE = namedict({
|
|
'TRANSACTION' : 'TRANSACTION', #needed?
|
|
'PASSTHROUGH' : 'PASSTHROUGH',
|
|
'EMPTY' : ''
|
|
})
|
|
|
|
|
|
FINANCE_COMPONENT = namedict({
|
|
'TRADING_CLIENT' : 'TRADING_CLIENT',
|
|
'PORTFOLIO_CLIENT' : 'PORTFOLIO_CLIENT',
|
|
'ORDER_SOURCE' : 'ORDER_SOURCE',
|
|
'TRANSACTION_SIM' : 'TRANSACTION_SIM'
|
|
})
|
|
|
|
|