Is it possible to use distinct supervisor (config) for each user (directory) individually? [closed] - supervisord

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Is it possible to use distinct supervisor configuration for each account on the server. So that every user can use supervisor with different specification on his account. I mean instead of using all the same config file on the server they using a local copy of the conf file and run it separately?

Okay I came across with an article by Peter Ojo in medium that in some way answered my question. It is actually about installing supervisor on a shared hosting but I guess it will do it.
What you need to do is use the — install-dir flag to install
supervisor in a custom location to which your user has full access.
You can use the bin directory in your subfolder, i.e.
/home/yoursiteuser/bin, or create it if it doesn’t already exist. Add
this directory to the PYTHONPATH environmental variable by running the
following command;
export PYTHONPATH=$PYTHONPATH:/home/yoursiteuser/bin
Now you can verify that you have your custom bin directory in the
PYTHONPATH environmental variable by typing
echo $PYTHONPATH
ACTUALLY INSTALLING SUPERVISOR
Now you can install Supervisor using the easy_install command like so
> easy_install — install-dir=/home/yoursiteuser/bin supervisor This
should successfully install Supervisor on your server. Yaay!
USING SUPERVISOR
To use supervisor, you first need to create a configuration file with
the sample configuration. You can do this by running the following
command:
echo_supervisord_conf > supervisord.conf This will create the
configuration file named supervisord.conf in the current directory.
Now you can run supervisor like so;
supervisord –c supervisord.conf The -c flag tells supervisor where to
find the configuration file, in this case it’s right there in the same
current directory.

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Bad configuration option (SSH) [closed]

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macbookair#Furqans-MacBook-2021 ~ % ssh -T furqanistic#github.com
/etc/ssh/sshd_config.d/100-macos.conf: line 2: Bad configuration option: usepam
/etc/ssh/sshd_config.d/100-macos.conf: line 3: Bad configuration option: acceptenv
/etc/ssh/sshd_config.d/100-macos.conf: line 4: Bad configuration option: subsystem
/etc/ssh/sshd_config.d/100-macos.conf: terminating, 3 bad configuration options
macbookair#Furqans-MacBook-2021 ~ % sudo nano /etc/ssh/sshd_config
When ever i try "ssh -T furqanistic#github.com " OR "ssh root#" OR push my branch it shows me this error
So i got the solution,I completely messed up the ssh_config and sshd_config files...
Man pages for sshd_config (the server-side config, which includes the AcceptEnv, AuthorizedKeysFile, Subsystem, and UsePAM keywords) vs ssh_config (the client-side config, which doesn't have any of those -- although it does have some related ones, like SendEnv, SetEnv, and SessionType ).
I took the latest files of ssh_config and sshd_config from github and also updated the config file by entering...
sudo nano ~/.ssh/config
and updated my host settings
This may look similar but there is another issue, files are different ... is there any way to reset my whole ssh folder ?
First, as explained here, you can add any setting you need for sshd_config to a file in /etc/ssh/sshd_config.d/*.conf.
The file 100-macos.conf comes with MacOS Monterey.
Editing that file would likely get reverted upon the next patch, so it is best to leave it alone, and add a new conf file if you need custom settings.
Check if Time Machine is activated to restore the original content of 100-macos.conf (unless you can upgrade your OS, which would reset its content)

Raspberry pi NTP working without conf file [closed]

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On raspberry, I was looking at the NTP configuration file under /etc/systemd/timesyncd.conf. All lines are commented (by default) but when I run the timedatectl status command, I get:
...
Network time on : yes
NTP synchronized : yes
...
How NTP works without configuration in conf file ? Where are NTP server links ?
Raspberry pi 3 ; Raspbian 9.13 (stretch)
The NTP management of systemd is called systemd-timesyncd. On my Ubuntu system, the corresponding systemd service is /lib/systemd/system/systemd-timesyncd.service. Typically, when you don't have items activated in a configuration file, daemons use default values. Moreover, if you look at the comment in the configuration file, you will see that the commented items are actually default values:
Entries in this file show the compile time defaults.
You can change settings by editing this file.
Defaults can be restored by simply deleting this file.

Run Perl script in SunOS machine [closed]

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We have a SunOS machine where we run our daily jobs, on failures we usually login into the machine (using Putty) and run a perl script that take an input parameter to start the failed jobs. Similarly if we need to stop a job we follow the same process and run another script.
I would like to formulate a single script outside of the remote machine which would follow the process of logging in , navigating to the directory where the script is and running the script.
Just looking for ideas as to see how i can implement this
I would recommend looking into Net::OpenSSH (https://metacpan.org/pod/Net::OpenSSH). I've used this with great success to connect to remote machines, execute commands, and capture their output. Also, connection creation can be greatly simplified if you set up passwordless authentication to your remote machines. Then you can test your commands from the command line (and chain commands together):
ssh host 'cd dir1/dir2 && run_script'
The implementation in the controlling script would be to the tune of:
my $ssh = Net::OpenSSH->new($my_host);
my ($out, $err) = $ssh->capture2($my_command);

vapor: Address already in use (errno: 98) [closed]

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I deployed my vapor project to Ubuntu. And made the configuration of supervisor and Nginx.
When I invoke my server. first call is success but When I try second call I get 502 bad gateway error from browser. When I check error log, the error is
"Fatal error: Error raised at top level: bind(descriptor:ptr:bytes:) failed: Address already in use (errno: 98) : file /home/buildnode/jenkins/wo$"
If I kill the port(8080) process. And after, I try to connect again first try is success then get fail again.
What should I do to get rid of this error?
This might be caused by another process using that port.
I had the same issue and was able to solve it by listing all the processes on port :8080:
$ sudo lsof -i :8080
and then killing all of them one by one by typing:
$ kill {PID of the process}
After that, my app built again properly.
taken from here
I had the same issue. This worked for me:
$ kill -9 {PID of the process}
Hope this helps!

How to make an offline translator? [closed]

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**Problem: **
The result must be a working translator - offline.
We need http API (self-hosted) similar to Google Translate.
I found a few options:
Install Microsoft Translator on Windows, download dictionaries, and somehow through http transfer requests for translation there
Apertium, this option is closer to reality, but it’s not clear how to set everything up ...
Apache Joshua
Promt, it is perfect but it is very expensive
Install Android on PC, and there is already Google Translate, but again there will be a question of sending http requests
**Todo: **
We need to translate whole sentences, not just individual words.
Maybe there is some kind of command line utility. Or maybe there is something for linux.
Which of the above options is better to look for more information?
The five-minute solution is to do this on Debian or Ubuntu:
sudo apt install apertium-apy # http server for apertium
sudo apt install apertium-eng-spa # install some language data
sudo systemctl enable apertium-apy # start http server on next boot
sudo systemctl start apertium-apy # start http server right now too
You now have translation between English and Spanish that responds to http requests and answers in JSON:
curl 'http://localhost:2737/translate?langpair=spa|eng&q=Eres+la+leche'
You can see all the apt-installable Apertium language pairs with
apt-cache search apertium |grep 'pair$'
If you want more pairs in Apertium, you could try the adding the nightly apt repo with unreleased data (or consider Contributing your own language data).
However, you tagged this neural-network – if you want NN's, or more language pairs than Apertium has, you could train a translator with OpenNMT and data from e.g. http://opus.nlpl.eu/ , but that will definitely take more than five minutes :-)