如何在nodejs中存储req.body.state

how to store req.body.state in nodejs

这是节点js中服务器的后端部分

stub.PostWorkflowResults(
  
    {
        workflow_id: "Demographics",
        inputs: [
        {data: {//need req.body.input here //}}
    ]
},

    metadata,
    (err, response) => {
   if(response){
    console.log(response)
   }else {
       console.log(err)
   }

我使用了 bodyparser。需要的是将 req.body.input 放入对象 {data: {//need req.body.input here //}}

先做console.log(req.body),如果看不懂数据,检查3件事。

  1. 检查服务器路由器 HTTP 方法是否为 postputdelete
  2. 之一
  3. 检查浏览器端 HTTP 是否调用正确的方法和参数 ex>axios.post(url, data, config)
  4. 检查正文解析器是否附加在同一上下文中。例如,如果你做了 app.use(bodyParser()) ,所有子路由都应该附加到 app 以引用 req.body

如果此检查列表不适合您,请分享客户端代码和服务器端路由器代码以了解详细信息.

为什么不执行这样的代码?

app.post('/', function(req, res){
    stub.PostWorkflowResults(
    {
        workflow_id: "my-custom-workflow",
        inputs: [
            {
            data: {
                image: {
                    url: req.body.input // guessing that your input is a url
                }
            }
        }
    ]
    },
    metadata,
    (err, response) => {
    if (err) {
        throw new Error(err);
    }

    if (response.status.code !== 10000) {
        throw new Error("Post workflow results failed, status: " + response.status.description);
    }

    // Since we have one input, one output will exist here.
    const result = response.results[0]

    // One output is present for each model in the workflow.
    for (const output of result.outputs) {
        console.log("Predicted concepts for model: " + output.model.name);
        for (const concept of output.data.concepts) {
            console.log("\t" + concept.name + " " + concept.value);
        }
        console.log();
    }
}
);
});

前端

//App.js

import axios from 'axios'
import {useEffect, useState} from 'react'
import './App.css';


function App() {
  const [something, setSomething] = useState({})
  const url = "http://localhost:5000/data"
  const input = "https://static.independent.co.uk/s3fs-public/thumbnails/image/2015/06/06/15/Chris-Pratt.jpg"

  const func = async () => {
    const {data} = await axios.post(url, {input : input})
    setSomething(data)
  }

  useEffect(() => {
    func()
  }, [])

  return (
    <div className="App">
      <h1>APP WORKING</h1>
      {console.log("something : ",something)}
    </div>
  );
}

export default App;

后端

//demographics.js
const {ClarifaiStub, grpc} = require("clarifai-nodejs-grpc");
const stringify = require('json-stringify-safe');

const demographics = (req,res) => {
    const stub = ClarifaiStub.grpc()
    const metadata = new grpc.Metadata();
    metadata.set("authorization", "Key  #ClarifaiKey#");
    stub.PostWorkflowResults(
        {
            workflow_id: "Demographics",
            inputs: [
                {data: {image: {url: req.body.input}}}
            ]
        },

        metadata,
        (err, response) => {
            if(response){
                console.log("AGE :", response.results[0].outputs[4].data.regions[0].data.concepts[0])
   here -->     const data = stringify(response.results[0].outputs[4].data.regions, null, 2)
                res.send(data)
            }
            else {
                console.log(err)
                res.status(400)
            }
        }
    )
}


module.exports = {
    demographics: demographics
}

我对'json-stringify-safe'包不是很有信心,但据我所知,nodejs-grpc clarifai returns一个循环结构数据对象,直接使用会抛出错误,所以“stringify (response.results[0].outputs[4].data.regions, null, 2)" 将其转换为常规 json 对象。

人口统计模型适用于多张面孔,因此如果图片中有多张面孔,那么您可以从 "response.results[0].outputs[4].[=27= 进行跟进]"

此外,在 server.js 中一定要包含

//server.js
...
const posts = require('./demographics.js')
const PORT = process.env.PORT || 5000

app.post('/data', posts.demographics)
...