Python online code running assistant
Python code running assistant allows you to enter Python code online and then execute the code through a Python script that runs natively. The principle is as follows:
Enter the code on the webpage:
Click the Run button and the code is sent to the Python code running assistant running on the local machine;
Python code running assistant saves the code as a temporary file, and then calls the Python interpreter to execute the code;
The web page displays the code execution results:
Download
Right click and save the target as: learning.py
Alternate download address: learning.py
Full code:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
r'''
learning.py
A Python 3 tutorial from http://www.liaoxuefeng.com
Usage:
python3 learning.py
'''
import sys
def check_version():
v = sys.version_info
if v.major == 3 and v.minor >= 4:
return True
print('Your current python is %d.%d. Please use Python 3.4.' % (v.major, v.minor))
return False
if not check_version():
exit(1)
import os, io, json, subprocess, tempfile
from urllib import parse
from wsgiref.simple_server import make_server
EXEC = sys.executable
PORT = 39093
HOST = 'local.liaoxuefeng.com:%d' % PORT
TEMP = tempfile.mkdtemp(suffix='_py', prefix='learn_python_')
INDEX = 0
def main():
httpd = make_server('127.0.0.1', PORT, application)
print('Ready for Python code on port %d...' % PORT)
httpd.serve_forever()
def get_name():
global INDEX
INDEX = INDEX + 1
return 'test_%d' % INDEX
def write_py(name, code):
fpath = os.path.join(TEMP, '%s.py' % name)
with open(fpath, 'w', encoding='utf-8') as f:
f.write(code)
print('Code wrote to: %s' % fpath)
return fpath
def decode(s):
try:
return s.decode('utf-8')
except UnicodeDecodeError:
return s.decode('gbk')
def application(environ, start_response):
host = environ.get('HTTP_HOST')
method = environ.get('REQUEST_METHOD')
path = environ.get('PATH_INFO')
if method == 'GET' and path == '/':
start_response('200 OK', [('Content-Type', 'text/html')])
return [b'<html><head><title>Learning Python</title></head><body><form method="post" action="/run"><textarea name="code" style="width:90%;height: 600px"></textarea><p><button type="submit">Run</button></p></form></body></html>']
if method == 'GET' and path == '/env':
start_response('200 OK', [('Content-Type', 'text/html')])
L = [b'<html><head><title>ENV</title></head><body>']
for k, v in environ.items():
p = '<p>%s = %s' % (k, str(v))
L.append(p.encode('utf-8'))
L.append(b'</html>')
return L
if host != HOST or method != 'POST' or path != '/run' or not environ.get('CONTENT_TYPE', '').lower().startswith('application/x-www-form-urlencoded'):
start_response('400 Bad Request', [('Content-Type', 'application/json')])
return [b'{"error":"bad_request"}']
s = environ['wsgi.input'].read(int(environ['CONTENT_LENGTH']))
qs = parse.parse_qs(s.decode('utf-8'))
if not 'code' in qs:
start_response('400 Bad Request', [('Content-Type', 'application/json')])
return [b'{"error":"invalid_params"}']
name = qs['name'][0] if 'name' in qs else get_name()
code = qs['code'][0]
headers = [('Content-Type', 'application/json')]
origin = environ.get('HTTP_ORIGIN', '')
if origin.find('.liaoxuefeng.com') == -1:
start_response('400 Bad Request', [('Content-Type', 'application/json')])
return [b'{"error":"invalid_origin"}']
headers.append(('Access-Control-Allow-Origin', origin))
start_response('200 OK', headers)
r = dict()
try:
fpath = write_py(name, code)
print('Execute: %s %s' % (EXEC, fpath))
r['output'] = decode(subprocess.check_output([EXEC, fpath], stderr=subprocess.STDOUT, timeout=5))
except subprocess.CalledProcessError as e:
r = dict(error='Exception', output=decode(e.output))
except subprocess.TimeoutExpired as e:
r = dict(error='Timeout', output='执行超时')
except subprocess.CalledProcessError as e:
r = dict(error='Error', output='执行错误')
print('Execute done.')
return [json.dumps(r).encode('utf-8')]
if __name__ == '__main__':
main()
Run
Run the command in the directory where learning.py is stored:
C:UsersmichaelDownloads> python learning.py
If you see Ready for Python code on port 39093..., it means the operation is successful. Do not close the command line window, just minimize it and run it in the background:
Try the effect
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