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add 4 led data in download fun

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Pritimay Sarkar
2023-11-07 05:55:42 +05:30
parent 7f484d576d
commit 1d3eb2a06f
1 changed files with 1 additions and 1 deletions
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cloud-functions/python/functions/consolidation.py
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@@ -74,7 +74,7 @@ def consolidation(request):
df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
df = df.sort_values(by=['testTime'], ascending=False)
# df = df.drop(['resultData', "reportUploadTime", "userImageURL", "testType", "birthYear", "testStatus", "reportPath", "createdBy", "csvPath", "result", "mobileId", "resultRatio", "localFlag", "led2", "led1"], axis=1)
df = df[["_id", "calculatedRatio", "deviceId", "deviceRatio", "deviceType", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "location", "deviceSerialNumber", "name", "testTime", "classificationResult"]]
df = df[["_id", "calculatedRatio", "deviceId", "deviceRatio", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "led3Average", "led3Buffer", "led3Sample", "led4Average", "led4Buffer", "led4Sample", "deviceSerialNumber", "name", "testTime", "classificationResult"]]
df.rename(columns={'deviceSerialNumber': "loginId", "calculatedRatio": "calibratedRatio"}, inplace = True)
df = df.reindex(sorted(df.columns), axis=1)
df.to_excel(writer, sheet_name = 'data', index=False)