Пример #1
0
async def setup():
    session = aiohttp.ClientSession()
    loop = asyncio.get_event_loop()
    database = Database(CONFIG.db_name,
                        db_url=f"http://{CONFIG.host_name}:8123/")
    logger = Logger(database)
    dispatcher = DiffDepthStreamDispatcher(database, logger)
    logger.log_msg("Starting event loop...", LoggingLevel.INFO)
    for symbol in CONFIG.symbols:
        if "USD_" in symbol:
            loop.create_task(
                handle_depth_stream(
                    symbol[4:],
                    session,
                    dispatcher,
                    database,
                    logger,
                    loop,
                    AssetType.USD_M,
                ))
        elif "COIN_" in symbol:
            loop.create_task(
                handle_depth_stream(
                    symbol[5:],
                    session,
                    dispatcher,
                    database,
                    logger,
                    loop,
                    AssetType.COIN_M,
                ))
        else:
            loop.create_task(
                handle_depth_stream(symbol, session, dispatcher, database,
                                    logger, loop, AssetType.SPOT))
Пример #2
0
def main(_):

    # create log file
    open('logfile.txt', 'a').close()

    config = tf.ConfigProto(log_device_placement=True, allow_soft_placement=False)

    with tf.Session(config=config) as session:
	
        # Set Logger Output File
        sys.stdout = Logger(output_file='logfile.txt')

        model = Model(session)

        print('\n\t Start Training')
        model.train()
Пример #3
0
import random as rd
from model import Logger as log
from model import Holder as hld
import matplotlib.pyplot as plt
import time

AREA_SIZE = 100  # HOW_MANY_WE_WANT_TO_SEE
CELL_SIZE = 5  # SIZE OF SINGLE CELL TO DETERMINE WINDOW SIZE
WINDOW_SIZE = AREA_SIZE * CELL_SIZE
TIME = 11111
ENABLE_RANDOM_EVENTS = False
AREA_NEW = np.zeros((AREA_SIZE, AREA_SIZE))
AREA_CURRENT = np.zeros((AREA_SIZE, AREA_SIZE))
LIFE, DEATH = 1, 0
DASHBOARD = np.zeros(10)
LOG = log.Logger("logger")
DB = hld.Holder("databaseXD")


def main():
    win = gp.GraphWin("GameLife", WINDOW_SIZE, WINDOW_SIZE)
    win.setBackground((gp.color_rgb(0, 0, 0)))
    bckg = gp.Image(gp.Point(WINDOW_SIZE / 2, WINDOW_SIZE / 2), WINDOW_SIZE,
                    WINDOW_SIZE)
    populateAreaRandomly(AREA_CURRENT, AREA_SIZE, 14)
    l1, _ = countArea(AREA_CURRENT, AREA_SIZE)
    populateImageFromArea(bckg, AREA_CURRENT, CELL_SIZE, AREA_SIZE)
    bckg.draw(win)
    win.getMouse()
    newArea = AREA_CURRENT
    for i in range(0, TIME):
Пример #4
0
from model import Currency, Logger
import time
import threading
from database import create_table, get_all_users, reset_field

UPDATE_TIME = 5
GRAPH = 10

log = Logger("./history.txt", UPDATE_TIME)
from queue_handler import init_bot, bot_loop, check_queue, update_queue
create_table()
init_bot()
bot_thread = threading.Thread(target=bot_loop)
bot_thread.start()
btc = Currency('BTC', 'USD')
eth = Currency('ETH', 'USD')
btc_price = btc.get_price()
eth_price = eth.get_price()
last_prices = log.get_last_line()
if not last_prices == None:
    last_prices = last_prices.split(",")
    btc_last_price = float(last_prices[1])
    eth_last_price = float(last_prices[2])
    btc_delta = (btc_last_price - btc_price) / btc_last_price * 100
    eth_delta = (eth_last_price - eth_price) / eth_last_price * 100
else:
    btc_delta = 0.0
    eth_delta = 0.0
log.log([btc_price, eth_price], [btc_delta, eth_delta])
while True:
    print("\n" * 20)