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请求返回“端点请求超时”

[英]request returning "Endpoint request timed out"

我已经使用 zappa 在 aws lambda 上部署了一个 flask 应用程序,现在该应用程序在除我的主要端点之外的所有端点上运行良好,当我在其上发出发布请求时它返回 {“消息”:“端点请求超时”}

真的需要修复或想法如何克服这个我需要调用分析路线,部署的 url 是

https://2ixfyfcsik.execute-api.eu-west-2.amazonaws.com/dev

尝试增加我的应用程序超时限制无济于事似乎 api 网关有 30 秒超时所以如何绕过或不通过如何使我的应用程序在 30 秒内返回结果任何帮助表示赞赏

from flask import Flask, redirect, url_for, request, jsonify
from flask_cors import CORS
import os,json
from hatesonar import Sonar
from profanityfilter import ProfanityFilter


app = Flask(__name__)
CORS(app)



@app.route('/',methods = ['GET'])
def index():
    return jsonify({"message": "Hello World!"})



@app.route('/test',methods = ['GET'])
def test():
    results=[]
    post="Every Day. Narrated by Patch."
    sonar = Sonar()
    offensiveLanguage = sonar.ping(text=post)
    for item in offensiveLanguage['classes']:
        if (item['class_name']=='hate_speech'):
            if(item['confidence']>=0.9):
                hatesonar_hatespeech=item['coinfidence']
            else:
                hatesonar_hatespeech=0
            results.append(hatesonar_hatespeech)
        else:
            pass
        if (item['class_name']=='offensive_language'):
            if(item['confidence']>=0.9):
                hatesonar_swearing=item['coinfidence']
            else:
                hatesonar_swearing=0
            results.append(hatesonar_swearing)
    return jsonify(results)




@app.route('/offensiveLanguage',methods = ['POST', 'GET'])
def login():
   if request.method == 'POST':
      user = request.form['nm']
      return redirect(url_for('success',name = user))
   else:
      sonar = Sonar()
      text = request.args.get('text')
      print("text", text)
      offensiveLanguage = sonar.ping(text=text)
      print("offensiveLanguage", offensiveLanguage)
      return jsonify(offensiveLanguage)


@app.route('/analysis',methods = ['GET','POST'])
def profanity():
    if request.method == 'POST':
        profanitycount=0
        data = request.get_json()
        posts=[]
        for item in data:
            if ('media' in item):
                for x in item['media']:
                    if(x['mediaType']=='post'):
                        if (x['content']):
                            posts.append(x['content'])
                        else:
                            pass
                    else:
                        pass
            else:
                pass
        flat_list = []
        for sublist in posts:
            for item in sublist:
                flat_list.append(item)          
        for post in flat_list:
            pf = ProfanityFilter()
            swearing = pf.is_profane(post)
            if(swearing=='true'):
                profanitycount = profanitycount + 1
            else:
                profanitycount = profanitycount
            sonar = Sonar()
            offensiveLanguage = sonar.ping(text=post)   
    print("profanity", profanitycount)
    return jsonify(profanitycount)


if __name__ == '__main__':
        app.run()



如果您的请求是同步的,则尝试在lambda的基本设置中增加内存。 对我有用(为您的功能分配的CPU与所配置的内存成比例)。

您可以使用多线程来减少响应时间。

此链接可能对您有帮助AWS Lambda 和多线程使用 Python

Mid-2022 there is now an official solution that bypasses the API Gateway and hence the annoying 29 second limit: AWS Lambda Function URLs: Built-in HTTPS Endpoints for Single-Function Microservices

...有时您只需要一种简单的方法即可在 function 前面配置 HTTPS 端点,而无需学习、配置和操作除 Lambda 之外的其他服务。

Lambda 基本上剥离了它自己的快递服务器并直接与互联网通信,而不会对通信施加 API 网关限制

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