测试控制台：
输入是任意一个图片文件，
输出是一串特征矩阵，如下图所示：
完整代码：
var app = require('express')();
var server = require('http').Server(app);
var request = require('request');
var defaultPort = 8081;
const fs = require('fs');
var port = process.env.PORT || defaultPort;
console.log("Server listens on port: " + port);
server.listen(port);
function print_env(){
console.log(process.env);
}
app.get('/', function (req, res) {
res.header("Access-Control-Allow-Origin", "*");
var response = "Hello World: " + port;
callFeatureExtractionAPI();
res.send(response);
});
app.get('/env', function (req, res) {
print_env();
// res.sendFile(__dirname + '/index.html');
var response = JSON.stringify(process.env);
res.send(response);
});
function callFeatureExtractionAPI() {
var url = "https://mlfproduction-image-feature-extractor.cfapps.eu10.hana.ondemand.com/api/v2/image/feature-extraction";
var api = "eyKXPuZf__ANtBqpk";
var oRequestOptions = {
url: url,
method: "POST",
json:true,
formData: {
files: fs.createReadStream("./1.png")
},
headers: {
"Authorization": "Bearer " + api
}
};
return new Promise(function(resolve,reject){
var requestC = request.defaults({jar: true});
console.log("Step1: get picture feature via url: " + url );
requestC(oRequestOptions,function(error,response,body){
if(error){
console.log("error occurred: " + error);
reject(error);
}
debugger;
console.log("Body:" + body);
console.log("response: " + response);
resolve(body);
});
});
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