|
@@ -93,6 +93,7 @@ def put_analysis_report_to_html(args, df_predict, df_accuracy):
|
|
|
label_pre = args['label_pre']
|
|
label_pre = args['label_pre']
|
|
|
farmId = args['farmId']
|
|
farmId = args['farmId']
|
|
|
points = args['points'].split(',')
|
|
points = args['points'].split(',')
|
|
|
|
|
+ cdq_title = '超短期分析报告' + args.get('title', '')
|
|
|
acc_flag = df_accuracy.shape[0]
|
|
acc_flag = df_accuracy.shape[0]
|
|
|
# 获取所有的模型
|
|
# 获取所有的模型
|
|
|
models = df_predict['model'].unique()
|
|
models = df_predict['model'].unique()
|
|
@@ -231,7 +232,7 @@ def put_analysis_report_to_html(args, df_predict, df_accuracy):
|
|
|
</head>
|
|
</head>
|
|
|
<body>
|
|
<body>
|
|
|
<div class="container">
|
|
<div class="container">
|
|
|
- <h1>分析报告</h1>
|
|
|
|
|
|
|
+ <h1>{ cdq_title }</h1>
|
|
|
<!-- 曲线对比 -->
|
|
<!-- 曲线对比 -->
|
|
|
<h2>1. 预测功率与实际功率曲线对比</h2>
|
|
<h2>1. 预测功率与实际功率曲线对比</h2>
|
|
|
|
|
|
David