请求返回“endpoint请求超时”

Question

我已经使用zappa在aws lambda上部署了一个flask应用程序，现在该应用程序在所有endpoint上都运行良好，除了我的主endpoint，当我对其发出post请求时，它返回{“消息”：“endpoint请求超时”}

真的需要一个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效api gateway似乎有30秒的超时，所以如何在30秒内绕过该限制，或如何使我的应用程序返回结果感谢任何帮助

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()

Answer 1

如果你的请求是同步的，那么试着在lambda的基本设置中增加内存。这是为我工作的（你的函数分配的CPU与配置的内存成比例）。