def update_optimize_params(self, is_continue: bool):
logger.info('action=update_optimize_params status=run')
df = DataFrameCandle(self.product_code, self.duration)
df.set_all_candles(self.past_period)
if df.candles:
self.optimized_trade_params = df.optimize_params()
if self.optimized_trade_params is not None:
logger.info(f'action=update_optimize_params params={self.optimized_trade_params.__dict__}')
if is_continue and self.optimized_trade_params is None:
time.sleep(10 * duration_seconds(self.duration))
self.update_optimize_params(is_continue)
import logging
import sys
from threading import Thread
from app.controllers.streamdata import stream
from app.controllers.webserver import start
import app.models
import settings
logging.basicConfig(level=logging.INFO, stream=sys.stdout)
if __name__ == "__main__":
from app.models.dfcandle import DataFrameCandle
df = DataFrameCandle()
df.set_all_candles(limit=1000)
print(df.optimize_params().__dict__)
# # streamThread = Thread(target=stream.stream_ingestion_data)
# serverThread = Thread(target=start)
#
# # streamThread.start()
# serverThread.start()
#
# # streamThread.join()
# serverThread.join()
