stanford_corenlp_pywrapper
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Any way to suppress stdout?
I was wondering if there was any way to prevent all of the output from the library when the server is starting up? I know there's ways I can suppress it myself but I was wondering if there was a way I could do it through the library.
Yeah, we need to add a flag to do that (or perhaps, make it quiet by default and have a verbose flag). Right now there's no way.
It does print those messages to standard error, not standard output, which is hopefully a little helpful.
I can't remember though -- does the corenlp java system print to stdout? my guess is there's nothing we can do about that.
On Wed, Mar 8, 2017 at 12:45 PM, J.J. Miller [email protected] wrote:
I was wondering if there was any way to prevent all of the output from the library when the server is starting up? I know there's ways I can suppress it myself but I was wondering if there was a way I could do it through the library.
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After doing some searching I came across this solution.
class suppress_stdout_stderr(object):
'''
A context manager for doing a "deep suppression" of stdout and stderr in
Python, i.e. will suppress all print, even if the print originates in a
compiled C/Fortran sub-function.
This will not suppress raised exceptions, since exceptions are printed
to stderr just before a script exits, and after the context manager has
exited (at least, I think that is why it lets exceptions through).
'''
def __init__(self):
# Open a pair of null files
self.null_fds = [os.open(os.devnull,os.O_RDWR) for x in range(2)]
# Save the actual stdout (1) and stderr (2) file descriptors.
self.save_fds = (os.dup(1), os.dup(2))
def __enter__(self):
# Assign the null pointers to stdout and stderr.
os.dup2(self.null_fds[0],1)
os.dup2(self.null_fds[1],2)
def __exit__(self, *_):
# Re-assign the real stdout/stderr back to (1) and (2)
os.dup2(self.save_fds[0],1)
os.dup2(self.save_fds[1],2)
# Close the null files
os.close(self.null_fds[0])
os.close(self.null_fds[1])
Then I just do
with suppress_stdout_stderr():
self.process = CoreNLP('ner', corenlp_jars=['/path/to/jars/'])
And it works great for me. Thanks for the help!