def relation_US_BA(ticker, ticker_ba):
tck_ba = Ticker(ticker_ba, begin=begin)
tck = Ticker(ticker, begin=begin)
tck.get_historical_price_data()
tck_ba.get_historical_price_data()
prices = {}
for price in tck.historical_data['prices']:
fd = price['formatted_date']
prices[fd] = price
prices_ba = {}
for price in tck_ba.historical_data['prices']:
fd = price['formatted_date']
prices_ba[fd] = price
rel = []
for pk in prices_ba:
if pk in prices:
print({'date': pk, 'price_ba': prices_ba[pk]['adjclose'], 'price': prices[pk]['adjclose']})
try:
rel.append(prices[pk]['adjclose']/prices_ba[pk]['adjclose'])
except Exception as e:
print(e)
rel = np.asarray(rel)
return rel
def test_01():
tickers = ['^MERV', 'ALUA', 'BMA', 'BBAR', 'BYMA', 'CVH', 'CEPU', 'CRES', 'EDN', 'GGAL', 'VALO', 'SUPV',
'MIRG', 'PAMP', 'COME', 'TECO2', 'TXAR', 'TRAN', 'TGNO4', 'TGSUD2', 'YPFD', 'TS', 'APBR']
tickers = ['TEO', 'DESP', 'MELI', 'GLOB', 'BMA', 'BBAR', 'SUPV', 'GGAL', 'TS',
'TX', 'PAM', 'EDN', 'CEPU', 'YPF', 'PBR', 'TGS', 'LOMA', 'IRS', 'CRESY']
BA = False
for ticker in tickers:
try:
if BA == True:
tck = Ticker(ticker + '.BA', begin=begin)
else:
tck = Ticker(ticker, begin=begin)
a, b, c = tck.get_boll()
tck.get_ma_close()
tck.get_volume()
vol = tck.get_volatility(len_ma=20)
print(ticker, vol.mean())
print(tck.get_status_ma())
except Exception as e:
print(ticker, 'ERROR', e)
plt.plot(vol)
plt.show()
def docMappings(self, connection, indexName=DEFAULT_INDEX): try: connection.indices.put_mapping(index=indexName, doc_type="orderbook", body=Orderbook().orderbookMapping) connection.indices.put_mapping(index=indexName, doc_type="ticker", body=Ticker().tickerMapping) connection.indices.put_mapping(index=indexName, doc_type="completed_trades", body=Trade().completedTradeMapping) connection.indices.put_mapping(index=indexName, doc_type="future_ticker", body=Ticker().futureTickerMapping) connection.indices.put_mapping(index=indexName, doc_type="future_price_index", body=FutureIndex().futurePriceIndexMapping) connection.indices.put_mapping(index=indexName, doc_type="kline_candles", body=KlineCandle().klineMapping) except: raise pass
def __init__(self, zoomFactor=1.05, zoomMargin=.1, dynamicRange=1e9):
QtWidgets.QWidget.__init__(self)
self.zoomMargin = zoomMargin
self.dynamicRange = dynamicRange
self.zoomFactor = zoomFactor
self.ticker = Ticker()
self.setContextMenuPolicy(QtCore.Qt.ActionsContextMenu)
action = QtWidgets.QAction("V&iew range", self)
action.setShortcut(QtGui.QKeySequence("CTRL+i"))
action.setShortcutContext(QtCore.Qt.WidgetShortcut)
action.triggered.connect(self.viewRange)
self.addAction(action)
action = QtWidgets.QAction("Sna&p range", self)
action.setShortcut(QtGui.QKeySequence("CTRL+p"))
action.setShortcutContext(QtCore.Qt.WidgetShortcut)
action.triggered.connect(self.snapRange)
self.addAction(action)
qfm = QtGui.QFontMetrics(self.font())
self._labelSize = QtCore.QSize(
(self.ticker.precision + 5) * qfm.averageCharWidth(),
qfm.lineSpacing())
self._start, self._stop, self._num = None, None, None
self._axisView = None
self._offset, self._drag, self._rubber = None, None, None
def process(sub,sort,num):
curr = main.readSub(sub,sort,num)
dictionary = {}
count = 0
for element in curr:
tokenize= word_tokenize(element)
count = 0
mentions = []
for item in tokenize:
if(len(item) > 1 and binarySearch(symbols,item, 0, None) > 0):
if(item in dictionary):
dictionary[item].mentions+=1
if(item not in mentions):
mentions.append(item)
else:
dictionary[item] = Ticker(item,1,0)
elif item in keypos:
count +=1
elif item in keyneg:
count -=1
for stuff in mentions:
if(count>0):
dictionary[stuff].sentiment+=1
elif(count <0):
dictionary[stuff].sentiment-=1
dictionarySort = OrderedDict(sorted(dictionary.items(), key=lambda i: i[1].mentions, reverse = True))
return dictionarySort
def findCollision(originalDigest, fileName, zeros=9, bytesQty=1):
topNumber = getZeroQty(zeros)
originalFragment = originalDigest[0]
tick = Ticker()
end = 0
attempts = 0
found = False
while not found:
attempts += 1
number = random.randint(0, topNumber)
byteNum, digest, fragment = buildData(number)
if qtyBytesOfCollition(originalDigest, digest, bytesQty):
found = True
bFile = struct.pack('q', 0)
bNumber = struct.pack('q', number)
end = tick()
printInfo(originalDigest, bFile, fileName, 'FRAGMENTO A ENCONTRAR',
False)
printInfo(digest, bNumber, number, 'COLISION PARCIAL')
print('Colisión de', bytesQty, 'byte(s)')
print("\n> Intentos:", attempts)
print('> Tiempo: %s seg.' % round(end, 4))
print('> Collision rate: %s c/s' % round(attempts / end, 4))
break
return attempts, round(end, 4), round(attempts / end, 4)
def collect_data_again(batch_id, faults):
for i, ticker in enumerate(faults):
try:
retries = {
key: key in faults[ticker]
for key in ['analysis', 'keystats', 'ohlc', 'options'][:2]
}
ticker_obj = Ticker(ticker, logger, batch_id, retries,
faults[ticker])
faults[ticker] = ticker_obj.fault_dict
time.sleep(SLEEP)
logger.info(f"{ticker},{batch_id},Re-Ticker,Success,")
except Exception as e:
logger.warning(f"{ticker},{batch_id},Re-Ticker,Failure,{e}")
pct = (i + 1) / len(faults)
pct = np.round(100 * pct, 4)
logger.info(f"SCRAPER,{batch_id},RE-PROGRESS,{pct}%,")
return faults
def transform_images(image_sequence,
processors_num=None,
use_shared_memory=False):
ticker = Ticker()
image_sequence["enhanced"] = ('i',
rescale_intensity(
image_sequence["enhanced"][1].astype(
np.double)))
image_sequence["skeletons"] = ('i',
(image_sequence["skeletons"][1] > 0).astype(
np.uint8))
ticker.tick("\nTransforming images...")
transform = ParallelMap(processors_num)
image_sequence["binaries"] = ('i',
transform.map(transform_binary,
image_sequence["binaries"][1]))
image_sequence["branching"] = ('i',
transform.map(
transform_distance,
image_sequence["branching"][1]))
ticker.tock(" Finished.")
if use_shared_memory:
ticker.tick("\nMapping to shared memory...")
image_sequence_shared = to_shared_memory(image_sequence)
ticker.tock(" Finished.")
# Return shared memory
return image_sequence_shared
return image_sequence
def test_display_routine(self, mock_get_config, mock_viewer, mock_joke,
mock_coin, mock_details, mock_logo):
mock_get_config.return_value = {
'ticker': {
'tell_jokes': True,
'crypto': 'btc',
'vs_currency': 'usd'
}
}
mock_joke.return_value = "FUNNY!"
mock_coin.return_value = {
'name': 'Bitcoin',
'id': 'btc',
'symbol': 'btc',
'logo': 'bitcoin_file.jpg'
}
mock_logo.return_value = 'bitcoin_file.jpg'
mock_details.return_value = '$31,000, +10.20%'
# Don't want to wait on sleep in tests
time.sleep = mock.MagicMock()
t = Ticker()
t.crypto = Crypto()
t.load_config()
print(t.config)
t.display_routine()
calls = [mock.call('BITCOIN', MessageType.FALLING, 'bitcoin_file.jpg')]
for j in range(0, 3):
calls.append(
mock.call('$31,000, +10.20%',
MessageType.BOUNCING,
'bitcoin_file.jpg',
delay=30))
calls.append(mock.call('JOKE TIME', MessageType.FALLING, delay=25))
calls.append(mock.call('FUNNY!', MessageType.SCROLLING))
t.viewer.display_message.assert_has_calls(calls)
mock_details.side_effect = ConnectionError()
t.display_routine()
t.viewer.display_message.assert_called_with(
"Error connecting to Price API", MessageType.SCROLLING)
mock_details.side_effect = None
mock_joke.side_effect = ConnectionError()
t.display_routine()
t.viewer.display_message.assert_called_with(
"Error connecting to Joke API", MessageType.SCROLLING)
mock_joke.side_effect = Exception()
t.display_routine()
t.viewer.display_message.assert_called_with(
"Encountered an Unknown Error", MessageType.SCROLLING)
def addTicker(self, ticker, bought=0, price=0):
data = yf.download(ticker, period="1d", group_by='ticker')
if data.empty:
print("bad ticker")
else:
self.tickers.append(
Ticker(ticker,
price=round(data['Close'][0], 2),
bought=bought,
boughtPrice=price))
def track_individual(input):
# Initialize global variables
global Global_Sequence
global Global_Parameters
global Global_Lock
global Output_Folder
# Initialize ticker
ticker = Ticker(Global_Lock)
# Unpack data
index, data = input
filename, initial_polyline = data
ticker.tick(" Started tracking {0}.".format(filename))
# Reparametrize contour
new_x, new_y, new_step = reparametrize(initial_polyline[:, 0],
initial_polyline[:, 1],
Global_Parameters.delta, 'linear')
initial_points = np.dstack([new_x, new_y])[0]
tracking_result = None
try:
# Create tracker
tracker = Tracker(Global_Sequence, Global_Parameters)
# Initialize log
log = ""
result = tracker.track(initial_points, log)
ticker.tock(" Finished: " + filename)
if result is not None:
if Global_Lock is not None:
Global_Lock.acquire()
try:
zip_path = os.path.join(Output_Folder,
'{0}.zip'.format(filename))
# Save ZIP
zip_csv(zip_path, result["snake_trajectory"][:, -1])
except:
pass
if Global_Lock is not None:
Global_Lock.release()
except Exception as e:
print e
traceback.print_exc()
ticker.tock(" Failed: " + filename)
return tracking_result
def run_tracker():
''' Runs stock tracker with Submissions and ticker instances '''
subreddit = Submissions('pennystocks')
stock = Ticker()
for submission in subreddit.subred.new(limit=1000):
stock_iter = stock.find_ticker(subreddit.retrieve_submission('title', submission))
if stock_iter != False:
count[stock_iter] += 1
else:
continue
print ('Most common:')
for company, cnt in count.most_common(5):
print ('%s: %7d' % (company,cnt))
def on_execute(self):
if self.on_init() == False:
self._running = False
pygame.mixer.init()
pygame.mixer.music.load(
os.path.join(os.path.dirname(__file__), "..\sound\\Pixelland.wav"))
pygame.mixer.music.play(-1)
tmx_loader = TmxLoader()
map = tmx_loader.load_map("game_map")
sprite_handler = SpriteHandler()
entity_handler = EntityHandler(tmx_loader)
map = Map(map)
player = Player(Location.Spawn, ID.Player, "Engineer",
Sprite_ID.Player_d4, map)
inv = Inv(None)
entity_handler.add_entity(player)
renderer = Renderer(entity_handler, sprite_handler, self._display_surf)
ticker = Ticker(entity_handler, self, inv)
time_next_tick = 0
time_next_render = 0
tick = 0
render = 0
nextsecond = 0
while (self._running):
time_now = pygame.time.get_ticks()
if (time_now > time_next_tick):
ticker.tick()
time_next_tick = time_now + 1000 / self.tps
tick += 1
if (time_now > time_next_render):
renderer.render(entity_handler, map, inv)
time_next_render = time_now + 1000 / self.fps
render += 1
if (nextsecond < time_now):
print("TPS: " + str(tick) + " FPS: " + str(render))
tick, render = 0, 0
nextsecond = time_now + 1000
self.on_cleanup()
def test_load_config(self, mock_get_config, mock_viewer, mock_crypto):
# Don't want to wait on sleep in tests
time.sleep = mock.MagicMock()
t = Ticker()
mock_get_config.return_value = "CONFIG!"
t.load_config()
self.assertEqual(t.config, 'CONFIG!')
mock_get_config.side_effect = Exception()
t.load_config()
t.viewer.display_message.assert_called_with("Could not load config :(",
MessageType.STATIC)
mock_get_config.side_effect = FileNotFoundError()
t.load_config()
t.viewer.display_message.assert_called_with("Config file not found.",
MessageType.STATIC)
def collect_data(batch_id, tickers):
for i, ticker in enumerate(tickers):
try:
Ticker(ticker, logger, batch_id)
time.sleep(SLEEP)
logger.info(f"{ticker},{batch_id},Ticker,Success,")
except Exception as e:
logger.warning(f"{ticker},{batch_id},Ticker,Failure,{e}")
pct = (i + 1) / len(tickers)
pct = np.round(100 * pct, 4)
logger.info(f"SCRAPER,{batch_id},PROGRESS,{pct}%,")
def get_ticker_cotation(self, coin: str) -> Ticker:
try:
url = "/".join((self.base_url, self.request_path, coin, 'ticker'))
response = requests.get(url)
if response.status_code not in range(200, 299):
self.logger.error(
"Ticker request not in range between 200 and 299")
raise Exception(
"Ticker request not in range between 200 and 299")
results = response.json()['ticker']
return Ticker(results)
except Exception as e:
self.logger.error(e)
raise
def __init__(self, config, core):
super(LCDFrontend, self).__init__()
self.lcd = RPi_I2C_driver.lcd()
if config['lcd']['display_temperature']:
bus = SMBus(config['lcd']['bme280_i2c_bus'])
self.bme280 = BME280(i2c_dev=bus)
else:
self.bme280 = None
self.ticker = Ticker(self.actor_ref, LCDFrontend.TICK_INTERVAL)
self.ticker.start()
self.stream_title = ""
self.st_pos = 0
self.lifetime = 0
self.lcd_on = True
self.volume = 0
def upload_sequence(path, processors_num=None, use_shared_memory=False):
filenames = [
'enhanced.tif',
'skeletons.tif',
'binaries.tif',
'branching.tif', # check if we really need this one
'gvf_magnitude.tif',
'gvf_angle.tif',
'branching_coords.zip'
]
ticker = Ticker()
ticker.tick("\nLoading image sequence...")
image_sequence = ImageSequence.load(path, filenames)
ticker.tock(" Finished.")
return transform_images(image_sequence, processors_num, use_shared_memory)
def main():
bot = commands.Bot(command_prefix=commands.when_mentioned_or("!!"))
env = os.getenv("BENSONBOT_ENV_TYPE")
if env.upper() == "MAIN":
from duty_manager import DutyManager
from memeail import ProblemOfTheDay
from shitposter import Shitposter
from ticker import Ticker
from timers import CSE107Timer, CSE113Timer
from message_scheduler import MessageScheduler
bot.add_cog(CSE113Timer(bot))
bot.add_cog(CSE107Timer(bot))
bot.add_cog(DutyManager(bot))
bot.add_cog(MessageScheduler(bot))
bot.add_cog(ProblemOfTheDay(bot))
bot.add_cog(Shitposter(bot))
bot.add_cog(Ticker(bot))
elif env.upper() == "PLAYGROUND":
from playground import Playground
bot.add_cog(Playground(bot))
elif env.upper() == "TESTING":
from scoreboard import Scoreboard
from shitposter import Shitposter
bot.add_cog(Scoreboard(bot))
bot.add_cog(Shitposter(bot))
else:
print("Unknown environment ({})".format(env))
return
print("Starting with env {}".format(env))
bot.run(os.getenv("BENSONBOT_DISCORD_TOKEN"))
def selectChannel(name):
global ticker
import uwebsockets.client as uwc
lcd.clear()
lcd.text(lcd.CENTER, 40, 'joining')
lcd.text(lcd.CENTER, 60, 'chat')
lcd.font(lcd.FONT_UNICODE)
if tcfg['tickers']:
ticker = Ticker([''] * 9,
0xffffff,
rotation=0,
sliding=False,
speed=16,
delay=10,
x=2,
multiline=True)
exitChat = False
with uwc.connect('wss://irc-ws.chat.twitch.tv') as ws:
ws.send('NICK justinfan123')
#ws.send('CAP REQ :twitch.tv/tags')
ws.send('JOIN #' + name)
msg = ws.recv()
i = 0
while msg.find('/NAMES') == -1:
msg = ws.recv()
msg = ws.recv()
while not exitChat:
if msg != '':
#gc.collect()
parseChatMsg(msg)
msg = ws.recv()
while btnB.isPressed():
exitChat = True
if tcfg['tickers']:
ticker.stop()
del ticker
return mainMenu
def test_setup_connection(self, setup_wifi, mock_has_internet_connection,
mock_viewer):
mock_has_internet_connection.return_value = True
t = Ticker()
t.setup_connection()
setup_wifi.assert_not_called()
mock_has_internet_connection.return_value = False
setup_wifi.return_value = "DID IT BOYS"
t.setup_connection()
setup_call = mock.call("SETUP", MessageType.STATIC)
connect_call = mock.call("Successfully connected to DID IT BOYS",
MessageType.SCROLLING)
t.viewer.display_message.assert_has_calls([setup_call, connect_call])
setup_wifi.assert_called()
setup_wifi.side_effect = [Exception(), "DID IT BOYS"]
t.setup_connection()
error_call = mock.call("Error connecting to Wi-Fi. Please try again.",
MessageType.SCROLLING)
t.viewer.display_message.assert_has_calls([setup_call, error_call])
def __init__(self):
"""
Set up the IOManager thread and start it.
"""
super(_IOManager, self).__init__()
self.__poll = iopoll.IOPoll()
self.__et = self.__poll.set_edge_triggered(True)
self.__wrappers = {}
self.__disconnected_wrappers = []
self.__running = True
self.__wrapper_lock = threading.RLock()
self.__poll_lock = threading.RLock()
self.__logger = logging.getLogger('Borg.Brain.Util.IOManager')
self.__logger.addHandler(nullhandler.NullHandler())
self.__empty_time = time.time() + 10
self.__next_tick = time.time() + 0.1
self.__parent_thread = threading.current_thread()
self.__read_list = set([])
self.__write_list = set([])
self.__ticker = Ticker(10)
self.__saved_time = 0
# Set up wake up pipe in non-blocking mode
self.__wakeup_read, self.__wakeup_write = os.pipe()
fl = fcntl.fcntl(self.__wakeup_read, fcntl.F_GETFL)
fcntl.fcntl(self.__wakeup_read, fcntl.F_SETFL, fl | os.O_NONBLOCK)
fl = fcntl.fcntl(self.__wakeup_write, fcntl.F_GETFL)
fcntl.fcntl(self.__wakeup_write, fcntl.F_SETFL, fl | os.O_NONBLOCK)
self.__poll.register(self.__wakeup_read, True, False, True)
# Start IOManager thread
self.start()
print "Loading %s..." % filename
img = cv.LoadImage(filename)
images.append(img)
print "Loaded %d images" % len(images)
# Start the BinarySocket
comp = True if not server else False
sock = BinarySocket(host,
port,
server=server,
bufsize=1024 * 256,
compress=comp,
compress_level=9)
client = sock if not server else None
ticker = Ticker(5)
# Keep running until user interrupts
while True:
ticker.tick()
if not client:
client = sock.wait_connect(0.5)
if not client:
continue
if not client.connected() and server:
# If a client disconnected, wait for a new connection
client = None
continue
import director
import database
import numpy
from ticker import Ticker
import trader
import time
sortedDict = director.process("stocks", "hot", 50)
database.uploadData(sortedDict, "stocks", "10-20")
tickers = []
symbols = list(sortedDict.keys())
mentions = [a.mentions for a in sortedDict.values()]
sentiment = [a.sentiment for a in sortedDict.values()]
for i in range(len(symbols)):
tickers.append(Ticker(str(symbols[i]), mentions[i], sentiment[i]))
stdMentions = numpy.std(mentions)
stdSentiment = numpy.std(sentiment)
sum = 0
for i in mentions:
sum += i
avg1 = sum / len(mentions)
sum = 0
for i in sentiment:
sum += i
avg2 = sum / len(sentiment)
for tick in tickers:
z1 = (tick.mentions - avg1) / stdMentions
z2 = (tick.sentiment - avg2) / stdSentiment
tick.setZScore((z1 + z2) / 2)
tickers.sort(key=lambda x: x.zscore, reverse=True)
staged = []
for i in range(len(symbols)):
import sys
import os
import numpy as np
dir_base = os.path.abspath('../')
sys.path.append(dir_base)
from ticker import Ticker
from matplotlib import pyplot as plt
if __name__ == '__main__':
tck = Ticker('YPF')
a, b, c = tck.get_boll()
tck.get_close()
tck.get_volume()
vol = tck.get_volatility()
tck.get_ma_close()
print(vol.mean())
print(tck.get_status_ma())
vol_osc = tck.get_vol_osc()
# http://pyhogs.github.io/plot-aspect-ratio.html
plt.figure(figsize=(12.5, 3))
plt.bar(np.arange(vol_osc.size), vol_osc)
plt.plot(vol_osc)
plt.show()
a, b, c = tck.get_lineal_macd()
plt.figure(figsize=(12.5, 3))
plt.plot(a[30:])
import sys
import time
from poloniex import Poloniex
import requests
from ticker import Ticker
config_path = '../../config/config.ini'
logging.basicConfig()
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
if __name__ == '__main__':
config = configparser.ConfigParser()
config.read(config_path)
api = config['poloniex']['api']
secret = config['poloniex']['secret']
polo = Poloniex()
ticker = Ticker('mongodb://192.168.1.179:27017/')
while (True):
print(
ticker('BTC_STR')['last'],
polo.returnTicker()['BTC_STR']['last'])
time.sleep(1)
def initializeData(self, fileName):
"""Loads and initializes data from a csv file.
Args:
filename: The csv data file
"""
fileCopy = []
# Printing out each row in order to show what is there
with open(fileName, 'rU') as csvfile:
reader = csv.reader(csvfile, delimiter=',', dialect=csv.excel_tab)
for row in reader:
fileCopy.append(row)
csvfile.close()
tickerNamesCounter = 0
# Isolate the ticker names into the tickerNames list
for x in fileCopy[0]:
if x == '':
pass
else:
self.tickerNames.append(x)
print "The tickers that you have listed within your file include:"
for x in self.tickerNames:
print x
# Associate performance data with each ticker via a dictionary
# Dictionary will map datetime objects (for the date) to floats (for performance)
# enumerate gives you an index value for each ticker in tickerNames, so we can know both
# the index and name of the ticker
for index, ticker in enumerate(self.tickerNames):
# a temporary map to hold a ticker's date/performance data
performance_data_dict = {}
# For each ticker, we go through the file checking the appropriate columns
# You'll notice that corresponding columns of data for each ticker in the tickerNames list
# is just
# Date: 3*(index of ticker name in tickerNames)
# Performance: 3*(index of ticker name in tickerNames) + 1
#
# Math is a beautiful thing
for line in fileCopy[2:]:
date_string = line[3 * index]
if date_string == '':
continue
#create a datetime object out of the datestring in the csv file
date = datetime.strptime(date_string, '%m/%d/%y')
performance = float(line[3 * index + 1])
# add the date and performance to the dictionary
performance_data_dict[date] = performance
# create a new ticker object, and store it in the tickerObjects dictionary which maps
# ticker names (which are strings) to ticker objects (which are instances of the Ticker class)
ticker_obj = Ticker(ticker, performance_data_dict)
self.tickerObjects[ticker] = ticker_obj
def main():
ticker = Ticker()
ticker.tick("Started filament generation...")
input_dir = os.path.join("..", "..", "output", "preprocessing")
output_dir = os.path.join("..", "..", "output", "generator")
# Read configuration
common_config = Config(os.path.join("..", "..", "config", "common.config"))
# Read filaments generator configuration
generator_config = Config(
os.path.join("..", "..", "config", "generator.config"))
folder_name = common_config["Output"]["Folder"]
sequence_path = os.path.join(common_config["Image Sequence"]["Path"],
common_config["Image Sequence"]["Filename"])
# Generate filaments
filaments_original, filaments_filtered = generator.generate(
input_dir, folder_name, generator_config)
directory = os.path.join(output_dir, folder_name)
# Make folder
try:
os.mkdir(directory)
except:
pass
# Output path
current_date = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
output_path = os.path.join(
directory, "__".join([current_date,
str(len(filaments_filtered))]))
try:
os.mkdir(output_path)
except:
pass
# Get colors
colors = get_random_colors(len(filaments_filtered))
# Get background image
image_sequence = imread(sequence_path)
background = np.squeeze(image_sequence)[0].astype(np.float32)
background /= background.max()
# Save filaments
save_filaments(filaments_filtered, output_path, background, colors)
# Plot sequence
if __PLOT_OVERLAY__:
plot_filaments(filaments_original, background, None,
"Original filaments")
plot_filaments(filaments_filtered, background, colors,
"Filtered filaments", True)
ticker.tock(" Generation finished.")
def consumer(self, marketData):
connection = elasticsearch.Elasticsearch(self.esHost)
self.ensure(connection)
self.docMappings(connection)
dataSet = json.loads(marketData)
item = {}
for infoPoint in dataSet:
try:
channel = str(infoPoint["channel"])
regex = "ok_sub_(spotusd|futureusd)_(b|l)tc_(.[A-Za-z0-9_]+)"
search = re.search(regex, channel)
if search.group(1) == "futureusd":
isFuture = True
else:
isFuture = False
currencyPair = str(search.group(2)) + "tc_usd"
self.count = self.count + 1
if self.count % 100 == 0:
print ("PROCESSED " + str(self.count) + " DATA POINTS SO FAR...")
if search.group(3) == "index":
myindex = FutureIndex()
dto = myindex.getFutureIndexDto(infoPoint, currencyPair)
dto["exchange"] = "OKCOIN"
self.postDto(dto, connection, "future_price_index")
elif "depth" in channel:
mybook = Orderbook()
dto = mybook.getDepthDtoList(infoPoint, currencyPair, isFuture)
for item in dto:
item["websocket_name"] = channel
item["is_future"] = isFuture
if isFuture == True:
check = re.search("depth_(this_week|next_week|quarter)_(20|60)", search.group(3).strip())
item["contract_type"] = str(check.group(1))
item["depth"] = str(check.group(2))
else:
item["contract_type"] = "spot"
depthSearch = re.search("depth_(20|60)", search.group(3).strip())
item["depth"] = depthSearch.group(1)
item["exchange"] = "OKCOIN"
self.postDto(item, connection, "orderbook")
elif "ticker" in channel and "data" in infoPoint:
myticker = Ticker()
if isFuture == False:
dto = myticker.getTickerDto(infoPoint, currencyPair)
self.postDto(dto, connection, "ticker")
elif isFuture == True:
dto = myticker.getFutureTickerDto(infoPoint, channel, currencyPair)
dto["exchange"] = "OKCOIN"
self.postDto(dto, connection, "future_ticker")
elif "trade" in channel:
mytrade = Trade()
if "data" in infoPoint:
dtoList = mytrade.getCompletedTradeDtoList(infoPoint, currencyPair)
for item in dtoList:
item["is_future"] = "futureusd" in channel
item["websocket_name"] = channel
item["exchange"] = "OKCOIN"
self.postDto(item, connection, "completed_trades")
elif "kline" in channel:
myklein = KlineCandle()
if "data" in infoPoint:
if len(infoPoint["data"]) > 1:
for klineData in infoPoint["data"]:
if type(klineData) is list:
klineDto = myklein.getKlineDto(klineData, currencyPair, channel)
klineDto["exchange"] = "OKCOIN"
klineDto["is_future"] = isFuture
klineDto["websocket_name"] = channel
else:
klineDto = myklein.getKlineDto(infoPoint["data"], currencyPair, channel)
self.postDto(klineDto, connection, "kline_candles")
except:
raise
def main():
# Read configuration
common_config = Config(os.path.join('..', '..', 'config', 'common.config'))
# Read image preprocessing configuration
tracker_config = Config(
os.path.join('..', '..', 'config', 'tracker.config'))
# Get output folder
output_folder = common_config['Output']['Folder']
# Use multiprocessing
is_parallel = tracker_config['Parallel Computing']['Enabled_b']
# Read preprocessed data
image_sequence = upload_sequence(os.path.join('..', '..', 'output',
'preprocessing',
output_folder),
use_shared_memory=is_parallel)
try:
init_path = tracker_config['Initialization']['Path']
if init_path == '':
raise Exception("Empty Path")
except:
sequence_path = os.path.join('../../output/generator', output_folder)
try:
input_folder = get_latest_folder(sequence_path)
init_path = os.path.join(sequence_path, input_folder,
"filaments.zip")
except:
return
ticker = Ticker()
ticker.tick("\nReading initial filaments...")
initialization = upload_initialization(init_path)
ticker.tock(" Finished.")
sequence_output = os.path.join("../../output/tracking", output_folder)
try:
os.mkdir(sequence_output)
except:
pass
run_output = os.path.join(sequence_output,
datetime.now().strftime('%Y-%m-%d_%H-%M-%S'))
try:
os.mkdir(run_output)
except:
pass
try:
shutil.copy2(os.path.join(sequence_path, input_folder, 'colors.csv'),
run_output)
except:
pass
# Track all filaments
ticker.tick("\nStarting tracking...")
track_all(initialization, image_sequence, tracker_config, run_output)
ticker.tock(" Tracking completed!")