如何从 NodeJs 调用 python 脚本
How to call python script from NodeJs
我需要在 NodeJs 中调用这个 python 脚本。
Read.py
#!/usr/bin/env python
# -*- coding: utf8 -*-
import RPi.GPIO as GPIO
import MFRC522
import signal
continue_reading = True
# Capture SIGINT for cleanup when the script is aborted
def end_read(signal,frame):
global continue_reading
print "Ctrl+C captured, ending read."
continue_reading = False
GPIO.cleanup()
# Hook the SIGINT
signal.signal(signal.SIGINT, end_read)
# Create an object of the class MFRC522
MIFAREReader = MFRC522.MFRC522()
# Welcome message
print "Welcome to the MFRC522 data read example"
print "Press Ctrl-C to stop."
# This loop keeps checking for chips. If one is near it will get the UID and authenticate
while continue_reading:
# Scan for cards
(status,TagType) = MIFAREReader.MFRC522_Request(MIFAREReader.PICC_REQIDL)
# If a card is found
if status == MIFAREReader.MI_OK:
# Get the UID of the card
(status,uid) = MIFAREReader.MFRC522_Anticoll()
# If we have the UID, continue
if status == MIFAREReader.MI_OK:
# Print UID
print "Card read UID: "+str(uid[0])+","+str(uid[1])+","+str(uid[2])+","+str(uid[3])
# This is the default key for authentication
key = [0xFF,0xFF,0xFF,0xFF,0xFF,0xFF]
# Select the scanned tag
MIFAREReader.MFRC522_SelectTag(uid)
# Authenticate
status = MIFAREReader.MFRC522_Auth(MIFAREReader.PICC_AUTHENT1A, 8, key, uid)
# Check if authenticated
if status == MIFAREReader.MI_OK:
MIFAREReader.MFRC522_Read(8)
MIFAREReader.MFRC522_StopCrypto1()
else:
print "Authentication error"
我使用了 python-shell,这是它的 NodeJs 代码
Test.js
var PythonShell = require('python-shell');
var options = {
scriptPath: '/home/pi/gpio-admin/MFRC522-python/'
};
var pyshell = new PythonShell('Read.py',options);
pyshell.on('message', function (message) {
console.log(message);
});
但是当我 运行 这段代码时,我在节点端没有看到任何东西。我认为当 python 脚本达到这个级别时就会出现问题。
(status,TagType) = MIFAREReader.MFRC522_Request(MIFAREReader.PICC_REQIDL)
因为我只是 运行 使用只有打印语句的 while 循环,然后它就可以工作了。之后我尝试了另一种方法来实现这一目标。但是我遇到了同样的问题 above.Here 是另一种方法
AltTest.js
var python = require('child_process').spawn(
'python',
// second argument is array of parameters, e.g.:
["/home/pi/gpio-admin/MFRC522-python/Read.py"]
);
var output = "";
python.stdout.on('data', function(){
output += data ;
console.log(data);
});
python.on('close', function(code){
console.log("Here you are there...");
});
任何帮助将不胜感激
有多种方法可以做到这一点。
- 第一种方法是
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 python shell 向 shell 发送消息
pyshell.send('hello');
您可以在此处找到 API 参考资料-
https://github.com/extrabacon/python-shell
第二种方式 - 你可以参考的另一个包是 node python ,你必须做 npm install node-python
第三种方式——你可以参考这个问题,在那里你可以找到使用子进程的例子——
How to invoke external scripts/programs from node.js
更多参考资料 -
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 安装 python-shell
Index.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
test.py
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micro-services方法。将 Python 脚本托管为 HTTP REST API 服务。使用 node.js 中的 API - 您不需要集成这些技术;它不可扩展。
好吧,您可以 运行 python 脚本来自 node.js 这样的方式。
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,请考虑将 shell 脚本函数编写到 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');
});
我的节点js代码
const { spawn }=require('child_process')
const child_python=spawn('python',['hello.py']);
child_python.stdout.on('data',(data)=> {
console.log(`stdout :${data}`);
})
child_python.stderr.on('data',(data)=>{
console.log(`stderr : ${data}`);
})
child_python.on('close',(code)=>{
console.log(`child process exited with code ${code}`)
})
您可以查看此视频以 运行 您的来自 Nodejs 的 Python 脚本
它还说明了如何传递参数
我需要在 NodeJs 中调用这个 python 脚本。
Read.py
#!/usr/bin/env python
# -*- coding: utf8 -*-
import RPi.GPIO as GPIO
import MFRC522
import signal
continue_reading = True
# Capture SIGINT for cleanup when the script is aborted
def end_read(signal,frame):
global continue_reading
print "Ctrl+C captured, ending read."
continue_reading = False
GPIO.cleanup()
# Hook the SIGINT
signal.signal(signal.SIGINT, end_read)
# Create an object of the class MFRC522
MIFAREReader = MFRC522.MFRC522()
# Welcome message
print "Welcome to the MFRC522 data read example"
print "Press Ctrl-C to stop."
# This loop keeps checking for chips. If one is near it will get the UID and authenticate
while continue_reading:
# Scan for cards
(status,TagType) = MIFAREReader.MFRC522_Request(MIFAREReader.PICC_REQIDL)
# If a card is found
if status == MIFAREReader.MI_OK:
# Get the UID of the card
(status,uid) = MIFAREReader.MFRC522_Anticoll()
# If we have the UID, continue
if status == MIFAREReader.MI_OK:
# Print UID
print "Card read UID: "+str(uid[0])+","+str(uid[1])+","+str(uid[2])+","+str(uid[3])
# This is the default key for authentication
key = [0xFF,0xFF,0xFF,0xFF,0xFF,0xFF]
# Select the scanned tag
MIFAREReader.MFRC522_SelectTag(uid)
# Authenticate
status = MIFAREReader.MFRC522_Auth(MIFAREReader.PICC_AUTHENT1A, 8, key, uid)
# Check if authenticated
if status == MIFAREReader.MI_OK:
MIFAREReader.MFRC522_Read(8)
MIFAREReader.MFRC522_StopCrypto1()
else:
print "Authentication error"
我使用了 python-shell,这是它的 NodeJs 代码
Test.js
var PythonShell = require('python-shell');
var options = {
scriptPath: '/home/pi/gpio-admin/MFRC522-python/'
};
var pyshell = new PythonShell('Read.py',options);
pyshell.on('message', function (message) {
console.log(message);
});
但是当我 运行 这段代码时,我在节点端没有看到任何东西。我认为当 python 脚本达到这个级别时就会出现问题。
(status,TagType) = MIFAREReader.MFRC522_Request(MIFAREReader.PICC_REQIDL)
因为我只是 运行 使用只有打印语句的 while 循环,然后它就可以工作了。之后我尝试了另一种方法来实现这一目标。但是我遇到了同样的问题 above.Here 是另一种方法
AltTest.js
var python = require('child_process').spawn(
'python',
// second argument is array of parameters, e.g.:
["/home/pi/gpio-admin/MFRC522-python/Read.py"]
);
var output = "";
python.stdout.on('data', function(){
output += data ;
console.log(data);
});
python.on('close', function(code){
console.log("Here you are there...");
});
任何帮助将不胜感激
有多种方法可以做到这一点。
- 第一种方法是
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 python shell 向 shell 发送消息
pyshell.send('hello');
您可以在此处找到 API 参考资料- https://github.com/extrabacon/python-shell
第二种方式 - 你可以参考的另一个包是 node python ,你必须做
npm install node-python
第三种方式——你可以参考这个问题,在那里你可以找到使用子进程的例子—— How to invoke external scripts/programs from node.js
更多参考资料 - 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 安装 python-shell
Index.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
test.py
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micro-services方法。将 Python 脚本托管为 HTTP REST API 服务。使用 node.js 中的 API - 您不需要集成这些技术;它不可扩展。
好吧,您可以 运行 python 脚本来自 node.js 这样的方式。 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:${data}`);
});
subprocess.stderr.on('close', () => {
console.log("Closed");
});
// const subprocess = runScript()
res.set('Content-Type', 'text/plain');
subprocess.stdout.pipe(res);
subprocess.stderr.pipe(res);
});
如果您想避免包管理器/膨胀,请考虑将 shell 脚本函数编写到 运行 python,将结果本地流式传输到 txt 文件,收集并发送例如使用 http:
const { exec } = require("child_process");
function runShellScript(script, callback) {
exec(script, (error, stdOut, stderr) => {
var result = {status: true};
if (error) {
result.status = false;
result.error = error.message;
}
if (stderr) {
result.status = false;
result.stderr = stderr;
}
if(stdOut){
result.result = stdOut;
}
callback(result);
});
}
runShellScript("python3 myscript.py >> output.txt", function(res) {
console.log(res);
fs.readFileSync('output.txt');
});
我的节点js代码
const { spawn }=require('child_process')
const child_python=spawn('python',['hello.py']);
child_python.stdout.on('data',(data)=> {
console.log(`stdout :${data}`);
})
child_python.stderr.on('data',(data)=>{
console.log(`stderr : ${data}`);
})
child_python.on('close',(code)=>{
console.log(`child process exited with code ${code}`)
})
您可以查看此视频以 运行 您的来自 Nodejs 的 Python 脚本 它还说明了如何传递参数