pyinotify | Monitoring filesystems events with inotify on Linux | Monitoring library
kandi X-RAY | pyinotify Summary
kandi X-RAY | pyinotify Summary
Monitoring filesystems events with inotify on Linux.
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Top functions reviewed by kandi - BETA
- Parse command line arguments
- Sleeps a given time
- The main loop
- Daemonize the program
- Process IN_CREATE event
- Append an event to the queue
- Returns the working directory
- Processes the raw event
- Dump to a file
- Simple string formatting
- Return a string representation of the stats
- Update a watch
- Get the path of the watch
- Recursive generator of sub directories
- Watches a transient file
- Process an IN_TO event
- Force coalescing events
- Remove a watch
- Process IN_MOVEVE_SEDIR event
- Close the file descriptor
- Stop the listener
- Process INORED event
- Add a watch to the system
- Process an incoming event
- Run the loop
- Handle read events
pyinotify Key Features
pyinotify Examples and Code Snippets
# Run udiskie
su pi -c '/usr/bin/udiskie --no-notify --no-file-manager &'
# Create mountpoint if it does not exist so we can monitor it with the Python script
su pi -c '/bin/mkdir -p /media/pi'
# Run Cryptopuck and save logs
su pi -c '/usr/bin/
pip3 install -U mysql-connector
pip3 install -U ampache
pip3 install -U pyinotify
`from subprocess import check_output,Popen, PIPE
try:
lsout=Popen(['lsof',filename],stdout=PIPE, shell=False)
check_output(["grep",filename], stdin=lsout.stdout, shell=False)
except:
#check_output will throw an exception here if i
pip download -r requirement.txt -d your_directory
Collecting supervisor==3.2.1 (from -r requirements.txt (line 38))
Downloading https://files.pythonhosted.org/packages/7b/54/53f28cb2b652717134dd67af607a94952318ae542906f0a890043de4f466/supervisor-3.2.1.tar.gz (410kB)
100% |██████████
from flask import Flask, render_template
from flask_socketio import SocketIO
import pyinotify
app = Flask(__name__)
app.config['SECRET_KEY'] = 'secret!'
socketio = SocketIO(app)
thread = None
class ModHandler(pyinotify.ProcessEvent):
dir_glob = '/var/run/shm/Do*/updates/ab*.xml'
wm.add_watch(dir_glob, pyinotify.IN_CLOSE_WRITE, onChange, do_glob=True)
from PyQt5 import QtCore, QtGui, QtWidgets
class EditorWorker(QtCore.QObject):
finished = QtCore.pyqtSignal()
def __init__(self, command, parent=None):
super(EditorWorker, self).__init__(parent)
self._temp_file =
[...]
exit_requested = False
def signal_handler(signal, frame):
# Perhaps check which signal was received...
exit_requested = True
[...]
for event in eventHandler.event_gen(timeout_s = 1):
if exit_requested:
# Clean
Community Discussions
Trending Discussions on pyinotify
QUESTION
I am trying to build the documentation for my project (https://github.com/pyMatJ/S4Utils) using sphinx and autodoc, targeting RtD eventually (https://s4utils.readthedocs.io/en/latest/).
So far I managed to make the whole project installable and I think my setup.py is in order. However, I cannot get sphinx to properly generate the documentation with autodoc. I set up a clean python3.6 venv using virtualenvwrapper, installed only sphinx and my package and tried to compile the doc (make html
). The pages with manual input (installation etc.) work fine, as well as one autodocumented module (https://s4utils.readthedocs.io/en/latest/epsInterpolator.html).
However, the bulk of the autodoc job is still missing (two other modules should be documented), and I get a bunch of warnings about autodoc not being able to import the module. Eventually it looks like it boils down to two main errors:
hbar_eV = h_eV/(2*np.pi)
TypeError: unsupported operand type(s) for *: 'int' and 'Mock'
from one module importing numpy in its preamble and using it to define a variable
as well as
numpy.core.multiarray failed to import for both modules.
The errors are reproduced both from RtD and a clean venv. I checked that only one version of numpy is installed (latest, 1.19.1). I use a conf.py
file importing mock, and mocking the relevant (I suppose) modules:
ANSWER
Answered 2020-Jul-23 at 06:59This fixed the issues:
Use the
autodoc_mock_imports
configuration variable to specify modules to be mocked.When NumPy is mocked,
np.pi
does not work.hbar_eV = h_eV/(2*np.pi)
is module-level code that is executed every time Sphinx runs. To get around that, usemath.pi
instead.
QUESTION
I want to download all the python packages mentioned in the requirement.txt to a folder in Linux. I don't want to install them. I just need to download them.
python version is 3.6
list of packages in the requirement.txt
...ANSWER
Answered 2020-Jun-30 at 21:01The documentation gives what you want : pip download
pip download does the same resolution and downloading as pip install, but instead of installing the dependencies, it collects the downloaded distributions into the directory provided
So you may try these option with pip download :
QUESTION
So I am setting up an old project it's Python 2 and Django 1 where I'm stuck with the installation of requirement.txt
. This is the main error I'm getting while installing
ANSWER
Answered 2020-Apr-06 at 20:37Simply install mysqlclient
instead of MySQL-python
, it's a drop-in replacement that's more maintained.
QUESTION
I'm setting up an existing project and when I am running pip install -r requirements.txt
After every dependency is installed it gives this error:
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-d0j9czw9/supervisor/
This is the list of complete installation
...ANSWER
Answered 2020-Apr-06 at 22:25The error is right at the end:
QUESTION
If I open my Yocto project's folder with Sublime under Ubuntu 16.04 and try to build with:
...ANSWER
Answered 2020-Feb-02 at 00:41You're running out of inotify
watches. Software such as Sublime and the program you're running here (among others) use inotify
watches to detect changes to the file system, such as being able to track when files are changing or when the contents of a directory changes.
There's a (user settable) upper limit to the number of watches that can be in use at once, and the rather cryptic error message you're seeing here is a symptom of the limit being reached and the program failing to obtain a watch.
The default value for the maximum inotify
watches may not be set high enough on your system for the software (and volume of files) that you're using, but you can change that if you like.
The output at the bottom of your error diagnotic information shows how you can view/adjust the upper limit. The following question also shows how you could do this as well.
https://unix.stackexchange.com/questions/13751/kernel-inotify-watch-limit-reached
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyinotify
You can use pyinotify like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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