mirror of
https://github.com/aljazceru/hummingbot-dashboard.git
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60 lines
2.9 KiB
Python
60 lines
2.9 KiB
Python
import threading
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import optuna
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from streamlit_elements import mui, lazy
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import constants
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from utils.os_utils import get_python_files_from_directory, \
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get_function_from_file
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from .dashboard import Dashboard
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class OptimizationRunCard(Dashboard.Item):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self._optimization_name = None
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self._number_of_trials = 2000
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def _set_optimization_name(self, _, childs):
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self._optimization_name = childs.props.value
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def _set_number_of_trials(self, event):
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self._number_of_trials = int(event.target.value)
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def _run_optimization(self):
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study_name = self._optimization_name.split('/')[-1].split('.')[0]
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study = optuna.create_study(direction="maximize", study_name=study_name,
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storage="sqlite:///data/backtesting/backtesting_report.db",
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load_if_exists=True)
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objective = get_function_from_file(file_path=self._optimization_name,
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function_name="objective")
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def optimization_process():
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study.optimize(objective, n_trials=self._number_of_trials)
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optimization_thread = threading.Thread(target=optimization_process)
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optimization_thread.start()
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def __call__(self):
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optimizations = get_python_files_from_directory(constants.OPTIMIZATIONS_PATH)
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with mui.Paper(key=self._key, sx={"display": "flex", "flexDirection": "column", "borderRadius": 3, "overflow": "hidden"}, elevation=1):
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with self.title_bar(padding="10px 15px 10px 15px", dark_switcher=False):
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mui.icon.AutoFixHigh()
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mui.Typography("Run a optimization", variant="h6")
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with mui.Stack(direction="row", spacing=2, justifyContent="space-evenly", alignItems="center", sx={"padding": "10px"}):
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if len(optimizations) == 0:
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mui.Alert("No optimizations available, please create one.", severity="warning", sx={"width": "100%"})
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return
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else:
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if self._optimization_name is None:
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self._optimization_name = optimizations[0]
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with mui.Select(label="Select strategy", defaultValue=optimizations[0],
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variant="standard", onChange=lazy(self._set_optimization_name)):
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for optimization in optimizations:
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mui.MenuItem(f"{optimization.split('/')[-1].split('.')[0]}", value=optimization)
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mui.TextField(defaultValue=self._optimization_name, label="Number of trials", type="number",
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variant="standard", onChange=lazy(self._set_number_of_trials))
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mui.IconButton(mui.icon.PlayCircleFilled, sx={"color": "primary.main"},
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onClick=self._run_optimization)
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