From 9dee0f810c2c5a2585bc4dff2d44701f228a2727 Mon Sep 17 00:00:00 2001 From: jingboyitiji Date: Thu, 13 Mar 2025 10:48:43 +0800 Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=94=B9=E4=B8=8A=E4=BC=A0=E5=B8=82?= =?UTF-8?q?=E5=9C=BA=E4=BF=A1=E6=81=AF=E5=B9=B3=E5=8F=B0=E6=95=B0=E6=8D=AE?= =?UTF-8?q?=E4=B8=BA=E5=BD=93=E5=A4=A9=E6=97=B6=E9=97=B4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- main_yuanyou.py | 6 ++---- main_yuanyou_yuedu.py | 12 ++++-------- main_yuanyou_zhoudu.py | 6 ++---- 3 files changed, 8 insertions(+), 16 deletions(-) diff --git a/main_yuanyou.py b/main_yuanyou.py index 1a9f909..84e32ba 100644 --- a/main_yuanyou.py +++ b/main_yuanyou.py @@ -103,21 +103,19 @@ def push_market_value(): print(predictdata_df[['ds', 'top_models_mean']]) # 准备要推送的数据 - first_date = predictdata_df['ds'].iloc[0].replace('-', '') - last_date = predictdata_df['ds'].iloc[-1].replace('-', '') first_mean = predictdata_df['top_models_mean'].iloc[0] last_mean = predictdata_df['top_models_mean'].iloc[-1] predictdata = [ { "dataItemNo": global_config['bdwd_items']['ciri'], - "dataDate": first_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": first_mean }, { "dataItemNo": global_config['bdwd_items']['benzhou'], - "dataDate": last_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": last_mean } diff --git a/main_yuanyou_yuedu.py b/main_yuanyou_yuedu.py index 1773143..60bb875 100644 --- a/main_yuanyou_yuedu.py +++ b/main_yuanyou_yuedu.py @@ -103,10 +103,6 @@ def push_market_value(): print(predictdata_df[['ds', 'top_models_mean']]) # 准备要推送的数据 - ciyue_date = predictdata_df['ds'].iloc[0].replace('-', '') - cieryue_date = predictdata_df['ds'].iloc[1].replace('-', '') - cisanyue_date = predictdata_df['ds'].iloc[2].replace('-', '') - cisiyue_date = predictdata_df['ds'].iloc[3].replace('-', '') ciyue_mean = predictdata_df['top_models_mean'].iloc[0] cieryue_mean = predictdata_df['top_models_mean'].iloc[1] cisanyue_mean = predictdata_df['top_models_mean'].iloc[2] @@ -115,25 +111,25 @@ def push_market_value(): predictdata = [ { "dataItemNo": global_config['bdwd_items']['ciyue'], - "dataDate": ciyue_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": ciyue_mean }, { "dataItemNo": global_config['bdwd_items']['cieryue'], - "dataDate": cieryue_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": cieryue_mean }, { "dataItemNo": global_config['bdwd_items']['cisanyue'], - "dataDate": cisanyue_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": cisanyue_mean }, { "dataItemNo": global_config['bdwd_items']['cisiyue'], - "dataDate": cisiyue_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": cisieryue_mean } diff --git a/main_yuanyou_zhoudu.py b/main_yuanyou_zhoudu.py index 39b18f5..066f5b2 100644 --- a/main_yuanyou_zhoudu.py +++ b/main_yuanyou_zhoudu.py @@ -103,21 +103,19 @@ def push_market_value(): print(predictdata_df[['ds', 'top_models_mean']]) # 准备要推送的数据 - first_date = predictdata_df['ds'].iloc[0].replace('-', '') - last_date = predictdata_df['ds'].iloc[-1].replace('-', '') first_mean = predictdata_df['top_models_mean'].iloc[0] last_mean = predictdata_df['top_models_mean'].iloc[-1] predictdata = [ { "dataItemNo": global_config['bdwd_items']['cizhou'], - "dataDate": first_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": first_mean }, { "dataItemNo": global_config['bdwd_items']['gezhou'], - "dataDate": last_date, + "dataDate": global_config['end_time'], "dataStatus": "add", "dataValue": last_mean }