有多种方法可以做到这一点。

• 第一种方法是做 npm install python-shell

这是代码

var PythonShell = require('python-shell');
//you can use error handling to see if there are any errors
PythonShell.run('my_script.py', options, function (err, results) { 
//your code

您可以使用 pyshell.send('hello');

你可以在这里找到 API 参考 - https://github.com/extrabacon/python-shell

• 第二种方式 - 您可以参考的另一个包是 node python ，您必须这样做 npm install node-python

• 第三种方式 - 您可以参考这个问题，您可以在其中找到使用子进程的示例 - How to invoke external scripts/programs from node.js

还有一些参考资料 - https://www.npmjs.com/package/python

如果你想使用面向服务的架构 - http://ianhinsdale.com/code/2013/12/08/communicating-between-nodejs-and-python/

• 安装 python-shell :- npm install python-shell

  索引.js

  let {PythonShell} = require('python-shell')
  
  function runPy(){
      return new Promise(async function(resolve, reject){
            let options = {
            mode: 'text',
            pythonOptions: ['-u'],
            scriptPath: './test.py',//Path to your script
            args: [JSON.stringify({"name": ["xyz", "abc"], "age": ["28","26"]})]//Approach to send JSON as when I tried 'json' in mode I was getting error.
           };
  
            await PythonShell.run('test.py', options, function (err, results) {
            //On 'results' we get list of strings of all print done in your py scripts sequentially. 
            if (err) throw err;
            console.log('results: ');
            for(let i of results){
                  console.log(i, "---->", typeof i)
            }
        resolve(results[1])//I returned only JSON(Stringified) out of all string I got from py script
       });
     })
   } 
  
  function runMain(){
      return new Promise(async function(resolve, reject){
          let r =  await runPy()
          console.log(JSON.parse(JSON.stringify(r.toString())), "Done...!@")//Approach to parse string to JSON.
      })
   }
  
  runMain() //run main function
  

测试文件

    import sys #You will get input from node in sys.argv(list)
    import json
    import pandas as pd #Import just to check if you dont have pandas module you can comment it or install pandas using pip install pandas

    def add_two(a, b):
        sum = 0
        for i in range(a, b):
            sum += i
        print(sum)  

    if __name__ == "__main__":
        print("Here...!")
        # print(sys.argv)
        j = json.loads(sys.argv[1]) #sys.argv[0] is filename
        print(j)
        add_two(20000, 5000000) #I make this function just to check 
    # So for all print done here you will get a list for all print in node, here-> console.log(i, "---->", typeof i)

采用微服务方法。将 Python 脚本作为 HTTP REST API 服务托管。从 node.js 使用 API - 您不需要集成这些技术；它不可扩展。

好吧，你可以像这样从node.js运行python脚本。使用child_process.spawn（这是在 node.js 库中构建的）

router.get('/', (req, res) => {
    const {spawn} = require('child_process');
    const path = require('path');
    function runScript(){
        return spawn('python', [
              path.join(__dirname, '../../scripts/myscript.py'),
              '-some_arg',
              '--another_arg',
        ]);
    }
    const subprocess = runScript();
    // print output of script
    subprocess.stdout.on('data', (data) => {
            console.log(`data:${data}`);
    });
    subprocess.stderr.on('data', (data) => {
           console.log(`error:${data}`);
    });
    subprocess.stderr.on('close', () => {
               console.log("Closed");
    });
    // const subprocess = runScript()
    res.set('Content-Type', 'text/plain');
    subprocess.stdout.pipe(res);
    subprocess.stderr.pipe(res);
});

如果您想避免包管理器/膨胀，请考虑编写一个 shell 脚本函数来运行 python，将结果本地流式传输到 txt 文件，收集并发送，例如使用 http：

    const { exec } = require("child_process");
    
    function runShellScript(script, callback) {
        exec(script, (error, stdOut, stderr) => {
            
            var result = {status: true};
            
            if (error) {
                result.status = false;
                result.error = error.message;
            }
            if (stderr) {
                result.status = false;
                result.stderr = stderr;
            }
    
            if(stdOut){
                result.result = stdOut;
            }
            
    
            callback(result);
        });
    }
    
    runShellScript("python3 myscript.py >> output.txt", function(res) {
        console.log(res);
fs.readFileSync('output.txt');
    });