import qlib
from qlib.workflow import R
from qlib.workflow.record_temp import SignalRecord, SigAnaRecord
from qlib.workflow.record_temp import Risk
from qlib.workflow.record_temp import PortAna

class OnlineManager:
    def __init__(self, provider_uri, region, experiment_name, task_URL, task_database_name, task_pool_name, rolling_step, start_time, end_time, tasks, trainer):
        self.provider_uri = provider_uri
        self.region = region
        self.experiment_name = experiment_name
        self.task_URL = task_URL
        self.task_database_name = task_database_name
        self.task_pool_name = task_pool_name
        self.rolling_step = rolling_step
        self.start_time = start_time
        self.end_time = end_time
        self.tasks = tasks
        self.trainer = trainer

    def reset_experiment(self):
        # Reset the experiment
        pass

    def run_workflow(self):
        # Run the entire workflow automatically
        pass

    def train_tasks(self):
        # Train tasks by other processes or machines for multiprocessing
        pass

    def main(self):
        self.reset_experiment()
        self.run_workflow()
        # Collect results
        record = SignalRecord()
        record.collect()
        # Get signals
        signal = SigAnaRecord()
        signal.generate()
        # Perform backtesting
        backtest = PortAna()
        backtest.backtest()
        # Risk analysis
        risk = Risk()
        risk.analysis()

if __name__ == "__main__":
    # User-defined parameters
    provider_uri = "your_provider_uri"
    region = "your_region"
    experiment_name = "your_experiment_name"
    task_URL = "your_task_URL"
    task_database_name = "your_task_database_name"
    task_pool_name = "your_task_pool_name"
    rolling_step = "your_rolling_step"
    start_time = "your_start_time"
    end_time = "your_end_time"
    tasks = "your_tasks"
    trainer = "your_trainer"

    manager = OnlineManager(provider_uri, region, experiment_name, task_URL, task_database_name, task_pool_name, rolling_step, start_time, end_time, tasks, trainer)
    manager.main()
