def main():
configs = parse_configs(sys.argv)
# create output file for all console output
autonomy.outfile = new_output_file()
tee = autonomy.Tee(sys.stdout, autonomy.outfile)
sys.stdout = tee
sys.stderr = tee
# no comms simulation; that wouldn't be useful as this program is supposed to interact w/ GCS
global XBEE
XBEE = setup_xbee()
# send connection message
connection_message = {
"type": "connect",
"time": 0, # This field is currently not used
"sid": configs['vehicle_id'],
"tid": 0, # The ID of GCS
"id": 0, # The ID of this message
"jobsAvailable": ["quickScan", "detailedSearch", "guide"]
}
# wait to receive the connection ack and start message
XBEE.add_data_received_callback(xbee_callback)
send_till_ack(configs["mission_control_MAC"], connection_message, 0)
if not autonomy.outfile.closed:
autonomy.outfile.close()
class TestAssetSelector(TestCase):
config = parse_configs(path=os.path.join("../../", "config.ini"))
args = parse_args()
# if args.mode is None:
# args.mode = 'long'
if args.period is None:
args.period = "1D"
if args.algorithm is None:
args.algorithm = "efficient_frontier"
if args.testperiods is None:
args.testperiods = 30
if args.max is None:
args.max = 26
if args.min is None:
args.min = 6
alpaca = REST(base_url=config["alpaca"]["APCA_API_BASE_URL"],
key_id=config["alpaca"]["APCA_API_KEY_ID"],
secret_key=config["alpaca"]["APCA_API_SECRET_KEY"],
api_version=config["alpaca"]["VERSION"])
broker = Broker(alpaca)
selector = AssetSelector(broker, cli_args=args)
def test_get_assets(self):
res = TestAssetSelector.selector.get_assets('equity',
'efficient_frontier')
print('[] ')
def test_candle_pattern_direction(self):
pass
def quick_scan(GCS_TIMESTAMP = 0, CONNECTION_TIMESTAMP = 0):
# Parse configs file
configs = parse_configs(sys.argv)
# Create output file if not already created
if autonomy.outfile is None:
autonomy.outfile = new_output_file()
tee = autonomy.Tee(sys.stdout, autonomy.outfile)
sys.stdout = tee
sys.stderr = tee
# Start autonomy and CV threads
autonomyToCV = QuickScanAutonomyToCV()
autonomy_thread = Thread(target=quick_scan_autonomy,
args=(configs, autonomyToCV, GCS_TIMESTAMP, CONNECTION_TIMESTAMP))
autonomy_thread.daemon = True
autonomy_thread.start()
cv_thread = Thread(target=quick_scan_cv, args=(configs, autonomyToCV, GCS_TIMESTAMP, CONNECTION_TIMESTAMP))
cv_thread.daemon = True
cv_thread.start()
# Wait for the threads to finish
autonomy_thread.join()
cv_thread.join()
# Close XBee device
if autonomy.xbee:
autonomyToCV.xbeeMutex.release()
autonomy.xbee.close()
autonomyToCV.xbeeMutex.release()
def detailed_search(vehicle = None, gcs_timestamp = 0, connection_timestamp = 0):
# Parse configs file
configs = parse_configs(sys.argv)
# Create output file if not already created
if autonomy.outfile is None:
autonomy.outfile = new_output_file()
tee = autonomy.Tee(sys.stdout, autonomy.outfile)
sys.stdout = tee
sys.stderr = tee
# Start autonomy and CV threads
autonomyToCV = DetailedSearchAutonomyToCV()
autonomy_thread = Thread(target = detailed_search_autonomy,
args = (configs, autonomyToCV, gcs_timestamp, connection_timestamp, vehicle))
autonomy_thread.daemon = True
autonomy_thread.start()
cv_thread = Thread(target = detailed_search_cv, args = (configs, autonomyToCV))
cv_thread.daemon = True
cv_thread.start()
# Wait for the threads to finish
autonomy_thread.join()
cv_thread.join()
# Close XBee device
if autonomy.xbee:
autonomy.xbee.close()
class TestKrakDealer(TestCase):
config = parse_configs("../../config.ini")
api = krakenex.API(key=config["kraken"]["api_key"],
secret=config["kraken"]["private_key"])
kraken = KrakenAPI(api, tier="Starter")
asset = "XXRP"
pair = "XXRPXXBT"
krak_deaker = KrakDealer(kraken, pair)
def test_get_server_time(self):
servertime = self.krak_deaker.get_server_time()
print(servertime)
def test_get_account(self):
account = self.krak_deaker.get_account()
print(account)
def test_get_trade_balance(self):
bal = self.krak_deaker.get_trade_balance(asset=self.asset)
print(bal)
def test_get_tradable_asset_pairs(self):
pairs = self.krak_deaker.get_tradable_asset_pairs()
print(pairs)
def test_get_ticker_information(self):
info = self.krak_deaker.get_ticker_information(pair=self.pair)
print(info)
def test_get_ohlc_data(self):
ohlc = self.krak_deaker.get_ohlc_data(pair=self.pair)
print(ohlc)
def test_get_order_book(self):
orderbook = self.krak_deaker.get_order_book(pair=self.pair)
print(orderbook)
def test_get_recent_spread_data(self):
spread = self.krak_deaker.get_recent_spread_data(pair=self.pair)
print(spread)
def quick_scan():
# Parse configs file
configs = parse_configs(sys.argv)
# Start autonomy and CV threads
autonomyToCV = QuickScanAutonomyToCV()
autonomy_thread = Thread(target=quick_scan_autonomy,
args=(configs, autonomyToCV))
autonomy_thread.daemon = True
autonomy_thread.start()
cv_thread = Thread(target=quick_scan_cv, args=(configs, autonomyToCV))
cv_thread.daemon = True
cv_thread.start()
# Wait for the threads to finish
autonomy_thread.join()
cv_thread.join()
# Close XBee device
if autonomy.xbee:
autonomy.xbee.close()
def detailed_search(vehicle=None):
# Parse configs file
configs = parse_configs(sys.argv)
# Start autonomy and CV threads
autonomyToCV = DetailedSearchAutonomyToCV()
autonomy_thread = Thread(target=detailed_search_autonomy,
args=(configs, autonomyToCV, vehicle))
autonomy_thread.daemon = True
autonomy_thread.start()
cv_thread = Thread(target=detailed_search_cv, args=(configs, autonomyToCV))
cv_thread.daemon = True
cv_thread.start()
# Wait for the threads to finish
autonomy_thread.join()
cv_thread.join()
# Close XBee device
if autonomy.xbee:
autonomy.xbee.close()
def main():
configs = parse_configs(sys.argv)
# no comms simulation; that wouldn't be useful as this program is supposed to interact w/ GCS
global xbee
xbee = setup_xbee()
# send connection message
connection_message = {
"type": "connect",
"time": 0, # This field is currently not used
"sid": configs['vehicle_id'],
"tid": 0, # The ID of GCS
"id": 0, # The ID of this message
"jobsAvailable": ["quickScan", "detailedSearch", "guide"]
}
# Instantiate a remote XBee device object to send data.
send_xbee = RemoteXBeeDevice(xbee, address)
xbee.send_data(send_xbee, json.dumps(connection_message))
# wait to receive the connection ack and start message
xbee.add_data_received_callback(xbee_callback)
raise error
try:
broker = Broker(alpaca)
except (BrokerException, BrokerValidationException) as error:
raise error
else:
# is our account restricted from trading?
if broker.trading_blocked:
raise BrokerException('[!] Account is currently restricted from trading.')
# how much money can we use to open new positions?
if args.cash is not None:
print('[?] ${} in simulated account balance.'.format(args.cash))
else:
print('[?] ${} is available in cash.'.format(broker.cash))
# try and import the corresponding Python file from algos
try:
algorithm = import_module(f'algos.{args.algorithm}', package='Algorithm')
except ImportError as error:
raise error
else:
algorithm.run(broker, args)
if __name__ == '__main__':
configuration = parse_configs()
arguments = parse_args()
main(configuration, arguments)
def __init__(self, parent=None):
super(APP_EISeg, self).__init__(parent)
# 初始化界面
self.setupUi(self)
# app变量
self.controller = None
self.image = None # 可能先加载图片后加载模型，只用于暂存图片
self.modelClass = MODELS[0]
self.outputDir = None # 标签保存路径
self.labelPaths = [] # 保存所有从outputdir发现的标签文件路径
self.filePaths = [] # 文件夹下所有待标注图片路径
self.currIdx = 0 # 文件夹标注当前图片下标
self.currentPath = None
self.isDirty = False
self.labelList = Labeler()
self.settings = QtCore.QSettings(
osp.join(pjpath, "config/setting.ini"), QtCore.QSettings.IniFormat)
self.config = util.parse_configs(osp.join(pjpath,
"config/config.yaml"))
self.recentModels = self.settings.value("recent_models", [])
self.recentFiles = self.settings.value("recent_files", [])
if not self.recentFiles:
self.recentFiles = []
self.maskColormap = ColorMask(osp.join(pjpath, "config/colormap.txt"))
# 初始化action
self.initActions()
# 更新近期记录
self.updateModelsMenu()
self.updateRecentFile()
# 帮助界面
self.help_dialog = QtWidgets.QDialog()
help_ui = Ui_Help()
help_ui.setupUi(self.help_dialog)
## 画布部分
self.canvas.clickRequest.connect(self.canvasClick)
self.annImage = QtWidgets.QGraphicsPixmapItem()
self.scene.addItem(self.annImage)
## 按钮点击
self.btnSave.clicked.connect(self.saveLabel) # 保存
self.listFiles.itemDoubleClicked.connect(self.listClicked) # 标签列表点击
self.comboModelSelect.currentIndexChanged.connect(
self.changeModel) # 模型选择
self.btnAddClass.clicked.connect(self.addLabel)
self.btnParamsSelect.clicked.connect(self.changeParam) # 模型参数选择
## 滑动
self.sldOpacity.valueChanged.connect(self.maskOpacityChanged)
self.sldClickRadius.valueChanged.connect(self.clickRadiusChanged)
self.sldThresh.valueChanged.connect(self.threshChanged)
## 标签列表点击
self.labelListTable.cellDoubleClicked.connect(
self.labelListDoubleClick)
self.labelListTable.cellClicked.connect(self.labelListClicked)
self.labelListTable.cellChanged.connect(self.labelListItemChanged)
self.labelList.readLabel(self.settings.value("label_list_file"))
self.refreshLabelList()
def main():
argv = ["f", "../configs.json"]
for i in range(10):
cv2.imshow('image', cv_simulation(parse_configs(argv)))
cv2.waitKey(0)
cv2.destroyAllWindows()
class TestBroker(TestCase):
config = parse_configs(path=os.path.join('../../', 'config.ini'))
alpaca = REST(base_url=config['alpaca']['APCA_API_BASE_URL'],
key_id=config['alpaca']['APCA_API_KEY_ID'],
secret_key=config['alpaca']['APCA_API_SECRET_KEY'],
api_version=config['alpaca']['VERSION'])
broker = Broker(alpaca)
def test_get_account(self):
res = TestBroker.broker.get_account()
self.assertIsInstance(res, Ent.Account)
def test_get_clock(self):
res = TestBroker.broker.get_clock()
self.assertIsInstance(res, Ent.Clock)
def test_get_calendar(self):
start = time_from_timestamp(time.time() - (604800 * 54))
end = time_from_timestamp(time.time())
res = TestBroker.broker.get_calendar(start_date=start, end_date=end)
self.assertIsInstance(res, list)
self.assertIsInstance(res[0], Ent.Calendar)
def test_get_assets(self):
res = TestBroker.broker.get_assets()
self.assertIsInstance(res, list)
self.assertIsInstance(res[0], Ent.Asset)
def test_get_asset(self):
ticker = 'AAPL'
res = TestBroker.broker.get_asset(ticker)
self.assertIsInstance(res, Ent.Asset)
def test_get_positions(self):
res = TestBroker.broker.get_positions()
self.assertIsInstance(res, list)
self.assertIsInstance(res[0], Ent.Position)
def test_get_position(self):
ticker = 'AAPL'
res = TestBroker.broker.get_position(ticker)
self.assertIsInstance(res, Ent.Position)
def test_close_all_positions(self):
res = TestBroker.broker.close_all_positions()
self.assertIsInstance(res, list)
self.assertEqual(len(res), 0)
def test_close_position(self):
ticker = 'AAPL'
res = TestBroker.broker.close_position(ticker)
self.assertIsInstance(res, Ent.Order)
def test_get_orders(self):
res = TestBroker.broker.get_orders()
self.assertIsInstance(res, list)
self.assertIsInstance(res[0], Ent.Order)
def test_get_order(self):
ticker = 'AAPL'
res = TestBroker.broker.get_order()
print('[] ')
def test_submit_order(self):
res = TestBroker.broker.submit_order()
print('[] ')
def test_replace_order(self):
res = TestBroker.broker.replace_order()
print('[] ')
def cancel_all_orders(self):
res = TestBroker.broker.cancel_all_orders()
print('[] ')
def test_cancel_order(self):
res = TestBroker.broker.cancel_order()
print('[] ')
def test_get_asset_df(self):
res = TestBroker.broker.get_asset_df()
print('[] ')
def test_get_watchlists(self):
res = TestBroker.broker.get_watchlists()
print('[] ')
def test_get_watchlist(self):
res = TestBroker.broker.get_watchlist()
print('[] ')
def test_add_watchlist(self):
res = TestBroker.broker.add_watchlist()
print('[] ')
def test_add_to_watchlist(self):
res = TestBroker.broker.add_to_watchlist()
print('[] ')
def test_clear_watchlist(self):
res = TestBroker.broker.clear_watchlist()
print('[] ')
def test_calculate_tolerable_risk(self):
res = TestBroker.broker.calculate_tolerable_risk()
print('[] ')
def test_calculate_position_size(self):
res = TestBroker.broker.calculate_position_size()
print('[] ')
