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fix error

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This commit is contained in:
Pritimay Sarkar
2024-02-17 22:01:27 +05:30
parent 44a04d63b8
commit f1e8911d4e
1 changed files with 2 additions and 3 deletions
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5
cloud-functions/python/functions/consolidation/main.py
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@@ -2,7 +2,6 @@ import functions_framework
from firebase_functions import https_fn from firebase_functions import https_fn
# import firebase_admin # import firebase_admin
from firebase_admin import initialize_app, firestore from firebase_admin import initialize_app, firestore
from google.cloud.firestore import FieldFilter
import pandas as pd import pandas as pd
import datetime import datetime
import sys import sys
@@ -70,12 +69,12 @@ def consolidation(request):
output_filename = f'/tmp/data_{datetime.today().strftime("%d_%m_%Y_%H_%M")}.xlsx' output_filename = f'/tmp/data_{datetime.today().strftime("%d_%m_%Y_%H_%M")}.xlsx'
output_path = os.getcwd() + path_delim + output_filename output_path = output_filename
writer = pd.ExcelWriter(output_path, engine = 'openpyxl') writer = pd.ExcelWriter(output_path, engine = 'openpyxl')
df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)] df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
df = df.sort_values(by=['testTime'], ascending=False) df = df.sort_values(by=['testTime'], ascending=False)
column_names = ["_id", "classificationResult", "deviceRatioClass", "prdClassification", "slopeRatioClass", "predictedDenovixRatio", "slopeRatio", "calculatedRatio", "deviceRatio", "kitSerial", "led1Gain1", "led1Gain2", "led1Gain4", "abs1", "led1Average", "led1Buffer", "led1Sample", "led2Gain1", "led2Gain2", "led2Gain4", "abs2", "led2Average", "led2Buffer", "led2Sample", "led3Gain1", "led3Gain2", "led3Gain4", "hb3", "abs3", "led3Average", "led3Buffer", "led3Sample", "led4Gain1", "led4Gain2", "led4Gain4", "hb4", "abs4", "led4Average", "led4Average", "led4Buffer", "led4Sample", "batteryLevel", "batteryVoltage", "solution", "concentration", "volume", "errorMessages", "deviceId", "deviceSerialNumber", "appVersion", "name", "testTime"] column_names = ["_id", "classificationResult", "deviceRatioClass", "prdClassification", "slopeRatioClass", "predictedDenovixRatio", "slopeRatio", "calculatedRatio", "deviceRatio", "kitSerial", "led1Gain1", "led1Gain2", "led1Gain4", "abs1", "led1Average", "led1Buffer", "led1Sample", "led2Gain1", "led2Gain2", "led2Gain4", "abs2", "led2Average", "led2Buffer", "led2Sample", "led3Gain1", "led3Gain2", "led3Gain4", "hb3", "abs3", "led3Average", "led3Buffer", "led3Sample", "led4Gain1", "led4Gain2", "led4Gain4", "hb4", "abs4", "led4Average", "led4Buffer", "led4Sample", "batteryLevel", "batteryVoltage", "solution", "concentration", "volume", "errorMessages", "deviceId", "deviceSerialNumber", "appVersion", "name", "testTime"]
common_columns = [col for col in column_names if col in df.columns] common_columns = [col for col in column_names if col in df.columns]
df = df[common_columns] df = df[common_columns]