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server.py
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server.py
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################################################################################
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
#from itertools import izip
from random import normalvariate, random
from datetime import timedelta, datetime
import csv
import dateutil.parser
import os.path
import operator
import json
import re
import threading
#from BaseHTTPServer import BaseHTTPRequestHandler,HTTPServer
import http.server
from socketserver import ThreadingMixIn
################################################################################
#
# Config
# Sim params
REALTIME = True
SIM_LENGTH = timedelta(days = 365 * 5)
MARKET_OPEN = datetime.today().replace(hour = 0, minute = 30, second = 0)
# Market parms
# min / max / std
SPD = (2.0, 6.0, 0.1)
PX = (60.0, 150.0, 1)
FREQ = (12, 36, 50)
# Trades
OVERLAP = 4
################################################################################
#
# Test Data
def bwalk(min, max, std):
""" Generates a bounded random walk. """
rng = max - min
while True:
max += normalvariate(0, std)
yield abs((max % (rng * 2)) - rng) + min
def market(t0 = MARKET_OPEN):
""" Generates a random series of market conditions,
(time, price, spread).
"""
for hours, px, spd in zip(bwalk(*FREQ), bwalk(*PX), bwalk(*SPD)):
yield t0, px, spd
t0 += timedelta(hours = abs(hours))
def orders(hist):
""" Generates a random set of limit orders (time, side, price, size) from
a series of market conditions.
"""
for t, px, spd in hist:
stock = 'ABC' if random() > 0.5 else 'DEF'
side, d = ('sell', 2) if random() > 0.5 else ('buy', -2)
order = round(normalvariate(px + (spd / d), spd / OVERLAP), 2)
size = int(abs(normalvariate(0, 100)))
yield t, stock, side, order, size
################################################################################
#
# Order Book
def add_book(book, order, size, _age = 10):
""" Add a new order and size to a book, and age the rest of the book. """
yield order, size, _age
for o, s, age in book:
if age > 0:
yield o, s, age - 1
def clear_order(order, size, book, op = operator.ge, _notional = 0):
""" Try to clear a sized order against a book, returning a tuple of
(notional, new_book) if successful, and None if not. _notional is a
recursive accumulator and should not be provided by the caller.
"""
(top_order, top_size, age), tail = book[0], book[1:]
if op(order, top_order):
_notional += min(size, top_size) * top_order
sdiff = top_size - size
if sdiff > 0:
return _notional, list(add_book(tail, top_order, sdiff, age))
elif len(tail) > 0:
return clear_order(order, -sdiff, tail, op, _notional)
def clear_book(buy = None, sell = None):
""" Clears all crossed orders from a buy and sell book, returning the new
books uncrossed.
"""
while buy and sell:
order, size, _ = buy[0]
new_book = clear_order(order, size, sell)
if new_book:
sell = new_book[1]
buy = buy[1:]
else:
break
return buy, sell
def order_book(orders, book, stock_name):
""" Generates a series of order books from a series of orders. Order books
are mutable lists, and mutating them during generation will affect the
next turn!
"""
for t, stock, side, order, size in orders:
if stock_name == stock:
new = add_book(book.get(side, []), order, size)
book[side] = sorted(new, reverse = side == 'buy', key = lambda x: x[0])
bids, asks = clear_book(**book)
yield t, bids, asks
################################################################################
#
# Test Data Persistence
def generate_csv():
""" Generate a CSV of order history. """
with open('test.csv', 'wb') as f:
writer = csv.writer(f)
for t, stock, side, order, size in orders(market()):
if t > MARKET_OPEN + SIM_LENGTH:
break
writer.writerow([t, stock, side, order, size])
def read_csv():
""" Read a CSV or order history into a list. """
with open('test.csv', 'rt') as f:
for time, stock, side, order, size in csv.reader(f):
yield dateutil.parser.parse(time), stock, side, float(order), int(size)
################################################################################
#
# Server
class ThreadedHTTPServer(ThreadingMixIn, http.server.HTTPServer):
""" Boilerplate class for a multithreaded HTTP Server, with working
shutdown.
"""
allow_reuse_address = True
def shutdown(self):
""" Override MRO to shutdown properly. """
self.socket.close()
http.server.HTTPServer.shutdown(self)
def route(path):
""" Decorator for a simple bottle-like web framework. Routes path to the
decorated method, with the rest of the path as an argument.
"""
def _route(f):
setattr(f, '__route__', path)
return f
return _route
def read_params(path):
""" Read query parameters into a dictionary if they are parseable,
otherwise returns None.
"""
query = path.split('?')
if len(query) > 1:
query = query[1].split('&')
return dict(map(lambda x: x.split('='), query))
def get(req_handler, routes):
""" Map a request to the appropriate route of a routes instance. """
for name, handler in routes.__class__.__dict__.items():
if hasattr(handler, "__route__"):
if None != re.search(handler.__route__, req_handler.path):
req_handler.send_response(200)
req_handler.send_header('Content-Type', 'application/json')
req_handler.send_header('Access-Control-Allow-Origin', '*')
req_handler.end_headers()
params = read_params(req_handler.path)
data = json.dumps(handler(routes, params)) + '\n'
req_handler.wfile.write(bytes(data, encoding = 'utf-8'))
return
def run(routes, host = '0.0.0.0', port = 8080):
""" Runs a class as a server whose methods have been decorated with
@route.
"""
class RequestHandler(http.server.BaseHTTPRequestHandler):
def log_message(self, *args, **kwargs):
pass
def do_GET(self):
get(self, routes)
server = ThreadedHTTPServer((host, port), RequestHandler)
thread = threading.Thread(target = server.serve_forever)
thread.daemon = True
thread.start()
print ('HTTP server started on port 8080')
while True:
from time import sleep
sleep(1)
server.shutdown()
server.start()
server.waitForThread()
################################################################################
#
# App
ops = {
'buy': operator.le,
'sell': operator.ge,
}
class App(object):
""" The trading game server application. """
def __init__(self):
self._book_1 = dict()
self._book_2 = dict()
self._data_1 = order_book(read_csv(), self._book_1, 'ABC')
self._data_2 = order_book(read_csv(), self._book_2, 'DEF')
self._rt_start = datetime.now()
self._sim_start, _, _ = next(self._data_1)
self.read_10_first_lines()
@property
def _current_book_1(self):
for t, bids, asks in self._data_1:
if REALTIME:
while t > self._sim_start + (datetime.now() - self._rt_start):
yield t, bids, asks
else:
yield t, bids, asks
@property
def _current_book_2(self):
for t, bids, asks in self._data_2:
if REALTIME:
while t > self._sim_start + (datetime.now() - self._rt_start):
yield t, bids, asks
else:
yield t, bids, asks
def read_10_first_lines(self):
for _ in iter(range(10)):
next(self._data_1)
next(self._data_2)
@route('/query')
def handle_query(self, x):
""" Takes no arguments, and yields the current top of the book; the
best bid and ask and their sizes
"""
try:
t1, bids1, asks1 = next(self._current_book_1)
t2, bids2, asks2 = next(self._current_book_2)
except Exception as e:
print ("error getting stocks...reinitalizing app")
self.__init__()
t1, bids1, asks1 = next(self._current_book_1)
t2, bids2, asks2 = next(self._current_book_2)
t = t1 if t1 > t2 else t2
print ('Query received @ t%s' % t)
return [{
'id': x and x.get('id', None),
'stock': 'ABC',
'timestamp': str(t),
'top_bid': bids1 and {
'price': bids1[0][0],
'size': bids1[0][1]
},
'top_ask': asks1 and {
'price': asks1[0][0],
'size': asks1[0][1]
}
},
{
'id': x and x.get('id', None),
'stock': 'DEF',
'timestamp': str(t),
'top_bid': bids2 and {
'price': bids2[0][0],
'size': bids2[0][1]
},
'top_ask': asks2 and {
'price': asks2[0][0],
'size': asks2[0][1]
}
}]
################################################################################
#
# Main
if __name__ == '__main__':
if not os.path.isfile('test.csv'):
print ("No data found, generating...")
generate_csv()
run(App())