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原油八大维度调试

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This commit is contained in:
jingboyitiji 2025-03-18 15:16:39 +08:00
parent 2525e0f5e1
commit c1e1b27deb
4 changed files with 23 additions and 16 deletions
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3
lib/dataread.py
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@ -56,6 +56,7 @@ global_config = {
'dataset': None, # 数据集路径 'dataset': None, # 数据集路径
'y': None, # 目标变量列名 'y': None, # 目标变量列名
'is_fivemodels': None, 'is_fivemodels': None,
'weight_dict': None,
# 模型参数 # 模型参数
'data_set': None, # 数据集名称 'data_set': None, # 数据集名称
@ -1106,6 +1107,8 @@ class Config:
def y(self): return global_config['y'] def y(self): return global_config['y']
@property @property
def is_fivemodels(self): return global_config['is_fivemodels'] def is_fivemodels(self): return global_config['is_fivemodels']
@property
def weight_dict(self): return global_config['weight_dict']
# 模型参数 # 模型参数
@property @property

1
main_yuanyou.py
View File

@ -17,6 +17,7 @@ global_config.update({
'is_train': is_train, 'is_train': is_train,
'is_fivemodels': is_fivemodels, 'is_fivemodels': is_fivemodels,
'settings': settings, 'settings': settings,
'weight_dict': weight_dict,
# 模型参数 # 模型参数

2
models/nerulforcastmodels.py
View File

@ -1220,7 +1220,7 @@ def model_losss(sqlitedb, end_time):
accuracy_rote = 0 accuracy_rote = 0
for i, group in df3.groupby('CREAT_DATE'): for i, group in df3.groupby('CREAT_DATE'):
accuracy_rote += (group['ACCURACY'].sum() / accuracy_rote += (group['ACCURACY'].sum() /
len(group))*weight_dict[len(group)-1] len(group))*config.weight_dict[len(group)-1]
accuracy_rote = round(accuracy_rote, 2) accuracy_rote = round(accuracy_rote, 2)
df4 = pd.DataFrame(columns=['开始日期', '结束日期', '准确率']) df4 = pd.DataFrame(columns=['开始日期', '结束日期', '准确率'])
df4.loc[len(df4)] = {'开始日期': ds_dates[0], df4.loc[len(df4)] = {'开始日期': ds_dates[0],

33
原油八大维度预测任务.py
View File

@ -9,14 +9,14 @@ import time
def run_predictions(target_date): def run_predictions(target_date):
"""执行三个预测脚本""" """执行三个预测脚本"""
scripts = [ scripts = [
# "main_yuanyou.py", "main_yuanyou.py",
# "main_yuanyou_zhoudu.py", "main_yuanyou_zhoudu.py",
"main_yuanyou_yuedu.py" "main_yuanyou_yuedu.py"
] ]
# 依次执行每个脚本 # 依次执行每个脚本
for script in scripts: for script in scripts:
command = ["python", script] command = [r"C:\Users\Hello\.conda\envs\predict\python", script]
subprocess.run(command, check=True) subprocess.run(command, check=True)
@ -29,19 +29,22 @@ if __name__ == "__main__":
# start_date = datetime.date(2025, 3, 13) # start_date = datetime.date(2025, 3, 13)
# 开始时间取当前时间 # 开始时间取当前时间
start_date = datetime.date.today() start_date = datetime.date.today()
end_date = datetime.date(2100, 12, 31) # end_date = datetime.date(2100, 12, 31)
current_date = start_date current_date = start_date
while current_date <= end_date: # while current_date <= end_date:
if is_weekday(current_date): # if is_weekday(current_date):
# 等待到目标日期的7点 # # 等待到目标日期的7点
target_time = datetime.datetime.combine( # target_time = datetime.datetime.combine(
current_date, datetime.time(13, 15)) # current_date, datetime.time(13, 15))
while datetime.datetime.now() < target_time: # while datetime.datetime.now() < target_time:
time.sleep(60) # 每分钟检查一次 # time.sleep(60) # 每分钟检查一次
print(f"等待到 {target_time} 开始执行任务") # print(f"等待到 {target_time} 开始执行任务")
print(f"开始执行 {current_date} 的预测任务") # print(f"开始执行 {current_date} 的预测任务")
run_predictions(current_date) # run_predictions(current_date)
current_date += datetime.timedelta(days=1) # current_date += datetime.timedelta(days=1)
print(f"开始执行 {current_date} 的预测任务")
run_predictions(current_date)