Python 3.x 属性错误：'；收藏参考'；对象没有属性'；设置'；

我正在尝试从Firestore数据库检索数据，然后进行一些更改，然后再次在数据库中设置这些数据

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)

这就是输出

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'

Test.py:39:DeprecationWarning:“Collection.get”已被弃用：请改用“Collection.stream”。
docs=NeedClassification.get（）
(1, 315477)
完成TF-IDF训练
回溯（最近一次呼叫最后一次）：
文件“Test.py”，第43行，在
分类（数据、文档id、数据库）
文件“Test.py”，第25行，分类
分类=db.collection（“Chat”）.document（数据['ChatID']）.collection（“chating”）.set({
AttributeError:“CollectionReference”对象没有属性“set”

我只是无法将数据设置回数据库

---

提前感谢

CollectionReference已添加（）

DocumentReference具有set（）、update（）和delete（）

见：

如果要创建新文档，则代码如下所示。（文档id是自动设置的）

或

    Classified = db.collection("Chat").document(Data['ChatID']).collection("chatting").add({
        "message" : Data['message'],
        "from" : Data['from'],
        "Classification" : Results,
        "time" : Data['time'],
    })

    Classified = db.collection("Chat").document(Data['ChatID']).collection("chatting").document().set({
        "message" : Data['message'],
        "from" : Data['from'],
        "Classification" : Results,
        "time" : Data['time'],
    })