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我正在尝试部署一个谷歌云函数，该函数使用 fair nlp 模型对推文执行情绪分析。代码部署得非常好，没有“import flair”行或“from flair import x,y,z”之类的替代品。一旦我包含了 fair 的导入语句，该功能就无法部署。以下是我在使用 import 语句进行部署时遇到的错误（错误是从 Firebase 日志中复制的）。这是我第一次在 StackOverflow 上发帖，如果帖子看起来很难看，请原谅我。

{"@type":"type.googleapis.com/google.cloud.audit.AuditLog","status":{"code":3,"message":"Function failed on loading user code. This is likely due to a bug in the user code. Error message: Code in file main.py can't be loaded.\nDetailed stack trace:\nTraceback (most recent call last):\n File \"/env/local/lib/python3.7/site-packages/google/cloud/functions/worker_v2.py\", line 359, in check_or_load_user_function\n _function_handler.load_user_function()\n File \"/env/local/lib/python3.7/site-packages/google/cloud/functions/worker_v2.py\", line 236, in load_user_function\n spec.loader.exec_module(main_module)\n File \"<frozen importlib._bootstrap_external>\", line 728, in exec_module\n File \"<frozen importlib._bootstrap>\", line 219, in _call_with_frames_removed\n File \"/user_code/main.py\", line 5, in <module>\n from flair import models, data\n File \"/env/local/lib/python3.7/site-packages/flair/__init__.py\", line 20, in <module>\n from . import models\n File \"/env/local/lib/python3.7/site-packages/flair/models/__init__.py\", line 1, in <module>\n from .sequence_tagger_model import SequenceTagger, MultiTagger\n File \"/env/local/lib/python3.7/site-packages/flair/models/sequence_tagger_model.py\", line 21, in <module>\n from flair.embeddings import TokenEmbeddings, StackedEmbeddings, Embeddings\n File \"/env/local/lib/python3.7/site-packages/flair/embeddings/__init__.py\", line 6, in <module>\n from .token import TokenEmbeddings\n File \"/env/local/lib/python3.7/site-packages/flair/embeddings/token.py\", line 10, in <module>\n from transformers import AutoTokenizer, AutoConfig, AutoModel, CONFIG_MAPPING, PreTrainedTokenizer\nImportError: cannot import name 'AutoModel' from 'transformers' (unknown location)\n. Please visit https://cloud.google.com/functions/docs/troubleshooting for in-depth troubleshooting documentation."},"authenticationInfo":

这是我要部署的脚本，以及 requirements.txt 文件

主文件

import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from datetime import datetime, timedelta
import flair
# or from flair import models, data

class FirestoreHandler():
    cred = credentials.Certificate("serviceAccountKey.json")
    firebase_admin.initialize_app(cred)

    db = firestore.client()
    
    def analysis_on_create(self):
            docs = self.db.collection('tweets').order_by(u'time', direction=firestore.Query.DESCENDING).limit(1).get()
            data = docs[0].to_dict()
            most_recent_tweet = data['full-text']
            sentiment_model = flair.models.TextClassifier.load('en-sentiment')
            sentence = flair.data.Sentence(str(most_recent_tweet))
            sentiment_model.predict(sentence)
            result = sentence.labels[0]
            if result.value == "POSITIVE":
                val= 1 * result.score
            else:
                val= -1 * result.score

            self.db.collection('sentiment').add({'sentiment':val,'timestamp':datetime.now()+timedelta(hours=3)}) 
            
    def add_test(self):
        self.db.collection('test3').add({"status":"success", 'timestamp':datetime.now()+timedelta(hours=3)})

def hello_firestore(event, context):
    """Triggered by a change to a Firestore document.
    Args:
         event (dict): Event payload.
         context (google.cloud.functions.Context): Metadata for the event.
    """
    resource_string = context.resource
    # print out the resource string that triggered the function
    print(f"Function triggered by change to: {resource_string}.")
    # now print out the entire event object
    print(str(event))
    fire = FirestoreHandler()
    fire.add_test()
    fire.analysis_on_create()

要求.txt

# Function dependencies, for example:
# package>=version

firebase-admin==5.0.1
https://download.pytorch.org/whl/cpu/torch-1.0.1.post2-cp37-cp37m-linux_x86_64.whl
flair

我包含了 pytorch 下载的 url，因为 flair 是基于 pytorch 构建的，并且如果没有 url，该功能将无法部署（即使我没有在 main.py 中导入 flair）。我也尝试过为天赋指定不同的版本，但无济于事。

任何关于可能导致此问题的直觉将不胜感激！我是 Google Cloud 生态系统的新手，这是我的第一个项目。如果我可以提供任何其他信息，请告诉我。

编辑：我从网站部署（不使用 CLI）

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1 回答 1

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我不确定所提供requirements.txt的是否适用于 GCP 云功能部署。不确定https是否会正确处理显式 URL...

在Python文档页面中指定依赖项描述了如何声明依赖项 -using the pip package manager's requirements.txt file or packaging local dependencies alongside your function.

你能简单地在文件中提到flair必要的版本吗？requirements.txt它会起作用吗？

此外，您提供的错误突出显示该transformers包是必需的。可能需要一些特定的版本吗？

====

作为旁注 - 我不知道您的上下文和要求，但我不确定为了从云功能内部使用 Firestore，所有这些

import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore

是必需的，因为最好完全避免使用serviceAccountKey.json，只需将相关的 IAM 角色分配给用于给定云功能执行的服务帐户。

于 2021-07-14T18:46:15.600 回答