Я пытаюсь получить данные из базы данных Firestore, а затем внести некоторые изменения, а затем снова установить эти данные в базе данных.
import firebase_admin
from PreProcessing import Pre_Processing
import pandas as pd
from FeatureExtraction import FeatureExtraction
from Processing import Processing
from firebase_admin import firestore , credentials
def Classification(Data , ID ):
Answers = []
Message = Data['message']
Answers.append(Data['message'])
PreProcessing = Pre_Processing(Answers)
Answers = PreProcessing.MainFunction()
del Answers[0]
Features = FeatureExtraction(Answers)
Answers = Features.Test_TFIDF()
print(Answers.shape)
print("Finished TF-IDF Training")
Data1 = pd.DataFrame(Answers)
del Answers
Data1 = Data1.fillna(0)
SentimentList = Features.Sentiment()
Data1[315477] = SentimentList
Processing_Object = Processing(Data1)
Results = Processing_Object.Testing()
Classified = db.collection("Chat").document(Data['ChatID']).collection("chatting").set({
"message" : Data['message'],
"from" : Data['from'],
"Classification" : Results,
"time" : Data['time'],
})
print(Results)
cred = credentials.Certificate("ssmproject-61dec-firebase-adminsdk-op5bp-d525c0a76e.json")
firebase_admin.initialize_app(cred)
db = firestore.client()
NeedClassification = db.collection("NeedClassification")
docs = NeedClassification.get()
for doc in docs:
if doc != None:
data = doc.to_dict()
Classification(data , doc.id)
Это вывод
Test.py:39: DeprecationWarning: 'Collection.get' is deprecated: please use 'Collection.stream' instead.
docs = NeedClassification.get()
(1, 315477)
Finished TF-IDF Training
Traceback (most recent call last):
File "Test.py", line 43, in <module>
Classification(data , doc.id , db)
File "Test.py", line 25, in Classification
Classified = db.collection("Chat").document(Data['ChatID']).collection("chatting").set({
AttributeError: 'CollectionReference' object has no attribute 'set'
У меня просто проблема с возвращением данных в базу данных. Спасибо заранее