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- import pandas as pd
- import datacompy
- class DiagDataMerge():
- def DetaMerge(df_Diag_Ram_sn,df_Diag_Batdiag_update,df_OprtnSta,df_Diag_Ram_sn_else):
- df_Diag_Ram_add = pd.DataFrame()
- df_Diag_Ram_Update_change = pd.DataFrame()
-
- df_Diag_Cal_finish = pd.DataFrame(columns=['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice','Batpos'])
- df_Diag_Cal_unfinish = pd.DataFrame(columns=['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice','Batpos'])
- if not df_Diag_Batdiag_update.empty:
-
- df_Diag_Cal_finish = df_Diag_Batdiag_update[df_Diag_Batdiag_update['end_time'] != '0000-00-00 00:00:00']
- df_Diag_Cal_unfinish = df_Diag_Batdiag_update[df_Diag_Batdiag_update['end_time'] == '0000-00-00 00:00:00']
- df_Diag_Cal_finish['Batpos'] = [1]*len(df_Diag_Cal_finish)
- if len(df_OprtnSta):
- if df_OprtnSta.loc[0,'status'] !=1:
- df_Diag_Cal_unfinish['Batpos'] = [1]*len(df_Diag_Cal_unfinish)
- else:
- df_Diag_Cal_unfinish['Batpos'] = [0]*len(df_Diag_Cal_unfinish)
-
-
- df_Diag_Cal_Update=pd.concat([df_Diag_Cal_finish,df_Diag_Cal_unfinish])
- df_Diag_Ram_add = pd.concat([df_Diag_Cal_Update,df_Diag_Ram_sn,df_Diag_Ram_sn]).drop_duplicates(subset=['start_time','code'],keep=False)
- df_Diag_Ram_Update_old = pd.concat([df_Diag_Cal_Update,df_Diag_Ram_add,df_Diag_Ram_add]).drop_duplicates(subset=['start_time','code'],keep=False)
- df_Diag_Ram_Update_change = pd.concat([df_Diag_Ram_Update_old,df_Diag_Ram_sn,df_Diag_Ram_sn]).drop_duplicates(subset=['start_time','code','Batpos'],keep=False)
- df_Diag_Ram = pd.concat([df_Diag_Ram_sn_else,df_Diag_Cal_unfinish])
- return df_Diag_Ram,df_Diag_Ram_add,df_Diag_Ram_Update_change
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