To capture stdout output from a Python function call, we can use the redirect_stdout function. to call redirect_stdout with the f StringIO object. Then we call do_something which prints stuff to stdout. And then we get the value printed to stdout with f.
To capture a tool's standard output stream, add the stdout field with the name of the file where the output stream should go. Then add type: stdout on the corresponding output parameter.
In Python, whenever we use print() the text is written to Python's sys. stdout, whenever input() is used, it comes from sys. stdin, and whenever exceptions occur it is written to sys. stderr.
Try this context manager:
from io import StringIO
import sys
class Capturing(list):
def __enter__(self):
self._stdout = sys.stdout
sys.stdout = self._stringio = StringIO()
return self
def __exit__(self, *args):
self.extend(self._stringio.getvalue().splitlines())
del self._stringio # free up some memory
sys.stdout = self._stdout
Usage:
with Capturing() as output:
do_something(my_object)
output
is now a list containing the lines printed by the function call.
Advanced usage:
What may not be obvious is that this can be done more than once and the results concatenated:
with Capturing() as output:
print('hello world')
print('displays on screen')
with Capturing(output) as output: # note the constructor argument
print('hello world2')
print('done')
print('output:', output)
Output:
displays on screen
done
output: ['hello world', 'hello world2']
Update: They added redirect_stdout()
to contextlib
in Python 3.4 (along with redirect_stderr()
). So you could use io.StringIO
with that to achieve a similar result (though Capturing
being a list as well as a context manager is arguably more convenient).
In python >= 3.4, contextlib contains a redirect_stdout
decorator. It can be used to answer your question like so:
import io
from contextlib import redirect_stdout
f = io.StringIO()
with redirect_stdout(f):
do_something(my_object)
out = f.getvalue()
From the docs:
Context manager for temporarily redirecting sys.stdout to another file or file-like object.
This tool adds flexibility to existing functions or classes whose output is hardwired to stdout.
For example, the output of help() normally is sent to sys.stdout. You can capture that output in a string by redirecting the output to an io.StringIO object:
f = io.StringIO() with redirect_stdout(f): help(pow) s = f.getvalue()
To send the output of help() to a file on disk, redirect the output to a regular file:
with open('help.txt', 'w') as f: with redirect_stdout(f): help(pow)
To send the output of help() to sys.stderr:
with redirect_stdout(sys.stderr): help(pow)
Note that the global side effect on sys.stdout means that this context manager is not suitable for use in library code and most threaded applications. It also has no effect on the output of subprocesses. However, it is still a useful approach for many utility scripts.
This context manager is reentrant.
Here is an async solution using file pipes.
import threading
import sys
import os
class Capturing():
def __init__(self):
self._stdout = None
self._stderr = None
self._r = None
self._w = None
self._thread = None
self._on_readline_cb = None
def _handler(self):
while not self._w.closed:
try:
while True:
line = self._r.readline()
if len(line) == 0: break
if self._on_readline_cb: self._on_readline_cb(line)
except:
break
def print(self, s, end=""):
print(s, file=self._stdout, end=end)
def on_readline(self, callback):
self._on_readline_cb = callback
def start(self):
self._stdout = sys.stdout
self._stderr = sys.stderr
r, w = os.pipe()
r, w = os.fdopen(r, 'r'), os.fdopen(w, 'w', 1)
self._r = r
self._w = w
sys.stdout = self._w
sys.stderr = self._w
self._thread = threading.Thread(target=self._handler)
self._thread.start()
def stop(self):
self._w.close()
if self._thread: self._thread.join()
self._r.close()
sys.stdout = self._stdout
sys.stderr = self._stderr
Example usage:
from Capturing import *
import time
capturing = Capturing()
def on_read(line):
# do something with the line
capturing.print("got line: "+line)
capturing.on_readline(on_read)
capturing.start()
print("hello 1")
time.sleep(1)
print("hello 2")
time.sleep(1)
print("hello 3")
capturing.stop()
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With