python-daemon | The official Python daemon of Cryptic | SMS library
kandi X-RAY | python-daemon Summary
kandi X-RAY | python-daemon Summary
The official Python Daemon of Cryptic.
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Top functions reviewed by kandi - BETA
- Decorator for endpoint methods
- Format a function docstring
- Decorator to specify a default parameter
- Return a JSON response
- Construct a dictionary representation of the exception
- A context manager decorator
- Context manager to create a database session
- Create a config instance
- Get example
- Check if an API token is valid
- Get a boolean environment variable
- Run the daemon
- Creates a dependency function
python-daemon Key Features
python-daemon Examples and Code Snippets
Community Discussions
Trending Discussions on python-daemon
QUESTION
I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated
My test DAG code
...ANSWER
Answered 2021-Apr-19 at 16:29It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.
If you simply want to run a Python callable in a task (callable_virtualenv()
in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.
What happens in your code is the following: PythonVirtualenvOperator
creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable
. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME
environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.
So, what you can do is install colorama
into the same environment in which you installed Airflow and replace PythonVirtualenvOperator
by PythonOperator
.
BTW, those print()
inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama
with them.
QUESTION
I'm trying to find some help installing apache-airflow.
I am on MacOS 10.15.7, Python version 3.8.2, and I keep getting an error:
ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly
I have tried using earlier versions of pip and python to no avail.
Does anyone know what I can do in this situation? I have looked at all the stack overflow questions that popped up with these search terms but none have presented a solution that worked for me so far.
Any help would be much appreciated.
...ANSWER
Answered 2021-Mar-04 at 00:26I am on MacOS 10.15.7 Python version 3.8.2
I'm guessing you used the Python 3 bundled/pre-installed with macOS Catalina.
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
I have a simple python-daemon that is to run in the background while my main test(s) are executed. This code worked fine on my Ubuntu box, but since trying it on my Mac I am unable to get it to work.
...ANSWER
Answered 2020-Jun-15 at 14:20I was able to figure out a work around that utilizes Threading instead of a daemon. See below for the code.
QUESTION
With a LaunchDaemon having the following plist:
...ANSWER
Answered 2020-Apr-26 at 23:53Launch Daemons (and cron jobs and ...) don't run under your usual Terminal/shell environment, so they don't get whatever customization, add-ons, etc are set up in your Terminal/shell environment. In particular, they don't run the various shell initialization scripts (~/.bash_profile, ~/.bashrc, etc) that normally have the commands to set up your environment.
In the specific case of anaconda, its installer adds a section to your ~/.bashrc file to add the anaconda binaries directory to PATH
, and probably a bunch of other changes. This affects your environment your bash sessions in Terminal, but doesn't take effect for Launch Agents, or even Terminal sessions in other shells (zsh is now the default, and it's causing some trouble with this).
For a Launch Daemon, I'd recommend against making it run your shell setup scripts -- those are your personal config, and don't have any real business being run by a system process. Instead, I'd create a short shell script that includes the relevant setup (copied from your ~/.bashrc), and then runs your python script. Then change the Launch Daemon so it runs that script, rather than running the python script directly.
P.S. Since the script doesn't have to do anything after starting the python script, this is a case where the script could use the exec
command to exit itself, and run the python script instead in the same process. That means that python would be a direct subprocess of launchd, and launchd can monitor, control, etc it in the way that it likes to. (That's as opposed to having the script run python normally, in which case you'd have a now-pointless shell process hanging out waiting for the python script to finish so that it can finish.)
So I'd end the script with:
QUESTION
I am steering my learning wheel towards airflow during this weekend and while setting up and installing airflow at local machine using pip install apache-airflow, I'm getting following errors:
...ANSWER
Answered 2020-Apr-11 at 02:37Your issue is typically related to Xcode toolkit.
Type this command in your terminal
QUESTION
I just created a new Cloud Composer environment and I'm getting an error when trying to add some PyPI packages to the environment (for example google-cloud-pubsub
).
This is the data about the environment:
The error I get when trying to add google-cloud-pubsub
is just this:
Failed to install PyPI packages.
Does anyone know about this?
Thanks :)
Cloud build:
...ANSWER
Answered 2020-Feb-22 at 22:25The error "Failed to install PyPI packages" means Cloud Build was unable to build Docker images for your Cloud Composer environment. This is usually because there was a PyPI package installation failure, or there were incompatible dependencies. In your case, it is the latter:
QUESTION
I could just write a long-running CLI app and run it, but I'm assuming it wouldn't comply to all the expectations one would have of a standards-compliant linux daemon (responding to SIGTERM, Started by System V init process, Ignore terminal I/O signals, etc.)
Most ecosystems have some best-practice way of doing this, for example, in python, you can use https://pypi.python.org/pypi/python-daemon/
Is there some documentation about how to do this with .Net Core?
...ANSWER
Answered 2017-Sep-25 at 17:46Have you tried Thread.Sleep (Timeout.Infinite) ?
QUESTION
I'm trying to spawn long processes from a flask application. So I have a main process that handles incoming web requests and from which I start daemons using the python-daemon library. Here is a minimal working example:
...ANSWER
Answered 2019-Mar-12 at 15:05If you don't want to create zombie processes you should wait for them to finish i.e. execute wait system call instead of sleep:
QUESTION
I am running my AWS EC2 instance and when I try to run my web app, MyCoolApp.py I get the following error:
...ANSWER
Answered 2019-Feb-12 at 08:51So with the details as provide in the question, we have the scenario where a Python script and the environment it will be executed at has:
- Dependency on some packages;
- No virtualenv is used, but the Python user install directory (as the
ec2-user
user) is used instead for simplicity for the installation of the script's dependencies; - The script however requires root privileges to run (due to the usage of low ports, with the elevated permission achieved via
sudo
(as theroot
user).
Naturally, running a script as root
while the dependencies were installed local to a user other than root
will mean that none of the dependencies will actually be accessible by that script. As the dependencies are installed under the site.USER_BASE
for the ec2-user
, in order for the script to be able to import its dependency while being executed under the root
user, the location may be defined using the PYTHONUSERBASE
environment variable.
To achieve that while using sudo
, try:
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