[英]Connect Microsoft Azure Machine Learning Studio API using Vue Axios or using Express Server?
目前我正在使用以下代码连接网络服务。 我需要使用 Vue Axios 或 Express 连接到 Microsoft Azure Machine Learning Studio Api。 有人能帮我吗。
var http = require("http");
var https = require("https");
var querystring = require("querystring");
var fs = require('fs');
function getPred(data) {
console.log('===getPred()===');
var dataString = JSON.stringify(data)
var host = 'ussouthcentral.services.azureml.net'
var path = '/workspaces/fda91d2e52b74ee2ae68b1aac4dba8b9/services/1b2f5e6f99574756a8fde751def19a0a/execute?api-version=2.0&details=true'
var method = 'POST'
var api_key = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx=='
var headers = {'Content-Type':'application/json', 'Authorization':'Bearer ' + api_key};
var options = {
host: host,
port: 443,
path: path,
method: 'POST',
headers: headers
};
console.log('data: ' + data);
console.log('method: ' + method);
console.log('api_key: ' + api_key);
console.log('headers: ' + headers);
console.log('options: ' + options);
var reqPost = https.request(options, function (res) {
console.log('===reqPost()===');
console.log('StatusCode: ', res.statusCode);
console.log('headers: ', res.headers);
res.on('data', function(d) {
process.stdout.write(d);
});
});
// Would need more parsing out of prediction from the result
reqPost.write(dataString);
reqPost.end();
reqPost.on('error', function(e){
console.error(e);
});
}
//Could build feature inputs from web form or RDMS. This is the new data that needs to be passed to the web service.
function buildFeatureInput(){
console.log('===performRequest()===');
var data = {
"Inputs": {
"input1": {
"ColumnNames": ["gl10", "roc20", "uo", "ppo", "ppos", "macd", "macds", "sstok", "sstod", "pmo", "pmos", "wmpr"],
"Values": [ [ "0", "-1.3351", "50.2268", "-0.2693", "-0.2831", "-5.5310", "-5.8120", "61.9220", "45.3998", "-0.0653", "-0.0659", "-30.3005" ], ]
},
},
"GlobalParameters": {}
}
getPred(data);
}
function send404Reponse(response) {
response.writeHead(404, {"Context-Type": "text/plain"});
response.write("Error 404: Page not Found!");
response.end();
}
function onRequest(request, response) {
if(request.method == 'GET' && request.url == '/' ){
response.writeHead(200, {"Context-Type": "text/plain"});
fs.createReadStream("./index.html").pipe(response);
}else {
send404Reponse(response);
}
}
http.createServer(onRequest).listen(8050);
console.log("Server is now running on port 8050");
buildFeatureInput();
但是我可以通过使用 axios 调用或快速服务器来做到这一点吗?
如果我可以使用 vue axios 或 express 服务器来做到这一点,任何人都可以帮助我使用正确的语法。
这听起来像你想用express
在服务器与axios
在Vue的头版,而不是节点的http
服务器与https
在服务器端的客户端。
用express
替换 Node http
非常简单,如下所示。
const express = require('express')
const path = require('path');
const app = express()
const port = 8050
app.use(express.static(path.join(__dirname, '.')))
app.get('/', (req, res) => res.sendFile('index.html'))
app.use(function (req, res, next) {
var err = new Error('Not Found');
err.status = 404;
next(err)
})
app.use(function (err, req, res, next) {
if(err.status == 404) {
res.status(404).send("Error 404: Page not Found!")
}
res.status(500).send("Error 500: Internal Error!")
})
app.listen(port, () => console.log("Server is now running on port 8050"))
但是考虑到调用Azure机器学习工作室API的api-key
值的安全性,我建议不要在Vue首页用axios
调用API,还是在服务端用express
调用,如下。
const axios = require('axios');
var host = 'ussouthcentral.services.azureml.net'
var path = '/workspaces/fda91d2e52b74ee2ae68b1aac4dba8b9/services/1b2f5e6f99574756a8fde751def19a0a/execute?api-version=2.0&details=true'
var api_key = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx=='
const pred = axios.create({
baseURL: 'https://'+host,
timeout: 1000,
headers: {'Content-Type':'application/json', 'Authorization':'Bearer ' + api_key}
});
app.post('/mls-api', (req, res) => pred.post(path, JSON.stringify(req.body)).then(function(resp) {
resp.pipe(res)
}))
然后,您可以使用以下data
值从 Vue 首页调用/mls-api
url。
var data = {
"Inputs": {
"input1": {
"ColumnNames": ["gl10", "roc20", "uo", "ppo", "ppos", "macd", "macds", "sstok", "sstod", "pmo", "pmos", "wmpr"],
"Values": [ [ "0", "-1.3351", "50.2268", "-0.2693", "-0.2831", "-5.5310", "-5.8120", "61.9220", "45.3998", "-0.0653", "-0.0659", "-30.3005" ], ]
},
},
"GlobalParameters": {}
}
axios.post('/mls-api', data)
.then(function (response) {
console.log(response);
})
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