模型只保留一个,原油八大维度预测执行脚本更改
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@ -199,7 +199,8 @@ def ex_Model(df, horizon, input_size, train_steps, val_check_steps, early_stop_p
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nf_preds = nf_preds.reset_index()
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# 保存模型
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# 生成文件名,按时间 精确到分
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filename = f'{settings}--{now}.joblib'
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# filename = f'{settings}--{now}.joblib'
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filename = f'{settings}.joblib'
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# 文件名去掉冒号
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filename = filename.replace(':', '-') # 替换冒号
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dump(nf, os.path.join(config.dataset, filename))
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@ -9,15 +9,15 @@ import time
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def run_predictions(target_date):
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"""执行三个预测脚本"""
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scripts = [
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"main_yuanyou.py",
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# "main_yuanyou.py",
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"main_yuanyou_zhoudu.py",
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"main_yuanyou_yuedu.py"
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]
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# 合并命令为单个进程执行
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command = ["python"]
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command.extend(scripts)
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subprocess.run(command, check=True)
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# 依次执行每个脚本
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for script in scripts:
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command = ["python", script]
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subprocess.run(command, check=True)
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def is_weekday(date):
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@ -26,7 +26,9 @@ def is_weekday(date):
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if __name__ == "__main__":
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start_date = datetime.date(2025, 3, 13)
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# start_date = datetime.date(2025, 3, 13)
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# 开始时间取当前时间
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start_date = datetime.date.today()
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end_date = datetime.date(2100, 12, 31)
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current_date = start_date
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@ -34,7 +36,7 @@ if __name__ == "__main__":
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if is_weekday(current_date):
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# 等待到目标日期的7点
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target_time = datetime.datetime.combine(
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current_date, datetime.time(9, 40))
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current_date, datetime.time(10, 25))
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while datetime.datetime.now() < target_time:
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time.sleep(60) # 每分钟检查一次
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print(f"等待到 {target_time} 开始执行任务")
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