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task 1
DivyanshaSharma (0)

From 63f1a274d61af552f73962786036a78e1faeac73 Mon Sep 17 00:00:00 2001
From: Divyansh_Sharma [email protected]
Date: Fri, 22 May 2020 11:37:00 +0000
Subject: [PATCH] INIT


client3.py | 55 ++
client_test.py | 25 +
server3.py | 320 +++++++++
test.csv | 1832 ++++++++++++++++++++++++++++++++++++++++++++++++
4 files changed, 2232 insertions(+)
create mode 100644 client3.py
create mode 100644 client_test.py
create mode 100644 server3.py
create mode 100644 test.csv

diff --git a/client3.py b/client3.py
new file mode 100644
index 0000000..6ac9b7f
--- /dev/null
+++ b/client3.py
@@ -0,0 +1,55 @@
+################################################################################
+#
+# 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.
+
+import urllib.request
+import time
+import json
+import random
+
+# Server API URLs
+QUERY = "http://localhost:8080/query?id={}"
+
+# 500 server request
+N = 500
+
+def getDataPoint(quote):

  • stock = quote['stock']
  • bid_price = float(quote['top_bid'])
  • ask_price = float(quote['top_ask'])
  • price = (bid_price + ask_price)/2
  • return stock, bid_price, ask_price, price

+def getRatio(price_a, price_b):

  • if(price_b==0):
  • return
  • return price_a/price_b

+# Main
+if name == "main":

  • for _ in range(N):
  • quotes = json.loads(urllib.request.urlopen(QUERY.format(random.random())).read())
  • prices = {}
  • for quote in quotes:
  •  stock, bid_price, ask_price, price = getDataPoint(quote)
  •  prices[stock] = price
  •  print ("Quoted %s at (bid:%s, ask:%s, price:%s)" % (stock, bid_price, ask_price, price))
  • print ("Ratio %s" % getRatio(prices['ABC'], prices['DEF']))

diff --git a/client_test.py b/client_test.py
new file mode 100644
index 0000000..af2bf26
--- /dev/null
+++ b/client_test.py
@@ -0,0 +1,25 @@
+import unittest
+from client3 import getDataPoint
+
+class ClientTest(unittest.TestCase):

  • def test_getDataPoint_calculatePrice(self):
  • quotes = [
  •  {'top_ask': {'price': 121.2, 'size': 36}, 'timestamp': '2019-02-11 22:06:30.572453', 'top_bid': {'price': 120.48, 'size': 109}, 'id': '0.109974697771', 'stock': 'ABC'},
  •  {'top_ask': {'price': 121.68, 'size': 4}, 'timestamp': '2019-02-11 22:06:30.572453', 'top_bid': {'price': 117.87, 'size': 81}, 'id': '0.109974697771', 'stock': 'DEF'}
  • ]
  • """ ------------ Add the assertion below ------------ """
  • def test_getDataPoint_calculatePriceBidGreaterThanAsk(self):
  • quotes = [
  •  {'top_ask': {'price': 119.2, 'size': 36}, 'timestamp': '2019-02-11 22:06:30.572453', 'top_bid': {'price': 120.48, 'size': 109}, 'id': '0.109974697771', 'stock': 'ABC'},
  •  {'top_ask': {'price': 121.68, 'size': 4}, 'timestamp': '2019-02-11 22:06:30.572453', 'top_bid': {'price': 117.87, 'size': 81}, 'id': '0.109974697771', 'stock': 'DEF'}
  • ]
  • """ ------------ Add the assertion below ------------ """
  • """ ------------ Add more unit tests ------------ """

+if name == 'main':

  • unittest.main()
    diff --git a/server3.py b/server3.py
    new file mode 100644
    index 0000000..704aa41
    --- /dev/null
    +++ b/server3.py
    @@ -0,0 +1,320 @@
    +################################################################################
    +#
    +# 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())
    diff --git a/test.csv b/test.csv
    new file mode 100644
    index 0000000..d2b2a10
    --- /dev/null
    +++ b/test.csv
    @@ -0,0 +1,1832 @@
    +2019-02-01 00:30:00.966511,ABC,buy,118.24,21
    +2019-02-01 16:29:33.406644,DEF,buy,120.09,71
    +2019-02-02 18:37:52.442361,ABC,buy,120.09,131
    +2019-02-03 11:49:54.753944,ABC,buy,118.13,145
    +2019-02-04 12:34:43.199076,ABC,sell,120.24,2
    +2019-02-05 04:03:01.708103,DEF,buy,110.79,52
    +2019-02-05 18:25:31.835007,ABC,buy,112.7,101
    +2019-02-06 08:07:20.411698,ABC,buy,115.46,245
    +2019-02-07 12:04:33.363229,DEF,buy,115.14,12
    +2019-02-08 05:45:58.422127,DEF,sell,117.87,74
    +2019-02-09 02:10:38.317086,ABC,buy,112.79,80
    +2019-02-10 10:07:43.237974,ABC,sell,116.63,183
    +2019-02-11 18:12:31.763344,ABC,buy,110.5,35
    +2019-02-13 00:41:03.061658,DEF,sell,117.51,84
    +2019-02-13 19:37:03.654348,DEF,buy,113.65,40
    +2019-02-14 08:26:51.287677,DEF,buy,112.39,54
    +2019-02-14 22:54:17.994967,DEF,sell,116.98,41
    +2019-02-15 19:51:35.120133,DEF,sell,116.9,16
    +2019-02-17 02:30:47.122289,ABC,buy,112.27,91
    +2019-02-17 19:35:22.154753,DEF,sell,116.05,105
    +2019-02-18 12:30:42.187256,DEF,buy,111.17,273
    +2019-02-19 17:08:20.400814,ABC,buy,108.62,92
    +2019-02-20 21:26:54.664490,ABC,sell,113.04,253
    +2019-02-21 12:31:57.442982,DEF,sell,114.47,68
    +2019-02-22 01:35:01.655558,DEF,buy,112.29,97
    +2019-02-23 06:36:37.717586,ABC,buy,111.24,93
    +2019-02-24 13:43:36.615682,ABC,sell,116.17,22
    +2019-02-25 04:54:36.476134,ABC,buy,109.03,108
    +2019-02-25 20:06:18.131320,ABC,buy,110.35,175
    +2019-02-27 03:31:20.961622,ABC,sell,111.65,74
    +2019-02-27 23:09:41.106498,ABC,buy,107.04,130
    +2019-02-28 21:40:40.238896,DEF,sell,111.68,156
    +2019-03-02 01:55:48.640233,ABC,sell,115.57,60
    +2019-03-03 00:10:38.079285,DEF,sell,113.62,14
    +2019-03-03 18:30:47.050607,ABC,buy,106.16,40
    +2019-03-04 09:05:05.419473,ABC,buy,107.53,68
    +2019-03-05 17:49:40.846183,ABC,sell,112.39,11
    +2019-03-06 06:40:35.041441,ABC,buy,106.94,60
    +2019-03-07 13:59:29.291951,ABC,buy,105.77,59
    +2019-03-08 23:35:56.746472,ABC,buy,109.2,56
    +2019-03-10 03:38:27.596382,ABC,sell,110.27,64
    +2019-03-11 10:23:52.781283,ABC,buy,105.63,27
    +2019-03-12 14:15:55.227949,DEF,sell,109.27,10
    +2019-03-13 07:01:35.342559,ABC,buy,106.37,37
    +2019-03-14 01:16:06.136558,DEF,sell,112.76,7
    +2019-03-14 21:42:08.012696,ABC,buy,108.74,12
    +2019-03-16 02:08:37.533436,ABC,buy,104.38,56
    +2019-03-16 23:04:36.166315,DEF,sell,109.83,25
    +2019-03-17 18:31:27.760441,ABC,buy,107.55,202
    +2019-03-18 12:38:13.606208,ABC,sell,113.12,0
    +2019-03-19 22:22:54.040153,DEF,sell,115.16,68
    +2019-03-20 23:02:25.850131,ABC,buy,111.62,145
    +2019-03-21 20:36:35.476887,DEF,sell,114.6,141
    +2019-03-22 09:43:03.471379,ABC,sell,116.77,70
    +2019-03-23 09:34:49.336990,DEF,buy,109.75,16
    +2019-03-23 22:04:26.812142,DEF,buy,109.85,14
    +2019-03-25 00:39:53.320423,ABC,sell,113.53,19
    +2019-03-26 06:01:58.895705,ABC,buy,110.41,118
    +2019-03-27 09:06:46.537723,ABC,sell,114.19,97
    +2019-03-28 13:44:48.249941,DEF,sell,116.33,14
    +2019-03-29 14:08:02.247788,ABC,buy,112.66,55
    +2019-03-30 04:50:16.044901,DEF,sell,115.76,111
    +2019-03-31 11:58:15.666679,DEF,sell,115.78,35
    +2019-04-01 11:55:24.073957,DEF,buy,110.1,19
    +2019-04-02 04:53:05.228984,ABC,sell,115.28,62
    +2019-04-02 20:23:26.130366,DEF,buy,111.14,24
    +2019-04-03 15:50:09.987424,ABC,buy,111.57,75
    +2019-04-04 12:52:41.254838,DEF,buy,109.53,136
    +2019-04-05 16:38:39.023546,ABC,buy,111.52,63
    +2019-04-06 12:41:48.755998,DEF,buy,110.7,9
    +2019-04-07 04:20:47.537559,ABC,buy,112.96,133
    +2019-04-08 11:05:03.621711,DEF,buy,112.11,227
    +2019-04-09 13:01:42.296983,DEF,sell,115.47,61
    +2019-04-10 21:05:44.760840,DEF,buy,113.29,121
    +2019-04-12 04:17:26.274648,ABC,buy,114.48,73
    +2019-04-13 08:44:06.013282,DEF,sell,117.04,23
    +2019-04-14 05:28:33.151392,ABC,buy,114.05,20
    +2019-04-15 09:42:14.426547,DEF,sell,119.2,7
    +2019-04-16 02:27:16.101261,ABC,sell,120.8,16
    +2019-04-16 19:15:07.422371,ABC,buy,116.4,231
    +2019-04-17 11:13:25.432400,DEF,sell,120.44,7
    +2019-04-18 00:07:04.768087,DEF,buy,114.18,5
    +2019-04-18 21:21:52.963034,DEF,buy,113.57,33
    +2019-04-19 17:55:29.018736,ABC,buy,112.19,147
    +2019-04-21 01:55:03.472619,DEF,buy,114.73,85
    +2019-04-22 04:35:30.585456,DEF,buy,114.65,40
    +2019-04-23 02:28:45.618826,DEF,buy,116.0,137
    +2019-04-23 22:37:20.868606,ABC,sell,123.37,47
    +2019-04-25 08:37:18.347364,DEF,buy,110.96,172
    +2019-04-26 09:57:36.379367,DEF,sell,118.25,48
    +2019-04-27 03:58:31.643303,ABC,sell,119.31,163
    +2019-04-28 15:42:01.718765,ABC,buy,114.54,2
    +2019-04-29 13:53:43.470320,ABC,sell,118.7,142
    +2019-04-30 17:16:37.357174,DEF,sell,119.9,79
    +2019-05-01 18:09:26.412464,DEF,sell,117.83,27
    +2019-05-02 12:55:21.152408,ABC,sell,117.47,129
    +2019-05-03 03:27:00.683917,DEF,buy,109.91,166
    +2019-05-04 09:54:42.317726,DEF,buy,112.99,76
    +2019-05-04 22:13:42.320289,ABC,sell,119.29,39
    +2019-05-06 08:39:32.855590,DEF,sell,120.09,140
    +2019-05-07 04:58:20.385951,DEF,buy,116.18,170
    +2019-05-07 22:01:00.410529,ABC,sell,116.95,57
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    +2024-01-24 00:45:28.383711,DEF,sell,109.82,131
    +2024-01-24 21:54:53.664044,DEF,sell,108.91,126
    +2024-01-26 04:39:39.178731,DEF,buy,107.2,30
    +2024-01-26 18:28:15.684474,DEF,sell,111.63,69
    +2024-01-27 10:20:04.985486,ABC,sell,108.69,140
    +2024-01-28 08:23:43.522705,ABC,buy,107.0,19
    +2024-01-29 10:47:50.065081,ABC,sell,109.48,58
    +2024-01-30 22:38:50.999795,ABC,sell,108.89,0
    --
    2.17.1