glances | A heads-up dashboard for displaying thing-statuses | Frontend Framework library
kandi X-RAY | glances Summary
kandi X-RAY | glances Summary
Glances is designed to be displayed on a monitor and works primarily over websockets. Built with React and Socket.io for lightning fast updates.
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Trending Discussions on glances
QUESTION
Hi im trying to parse out a screenplay and trying to capture (NAME) : (Dialogue) with regex. So far on regex 101 I have re.complie('(\w+)\n(.*)')
but as you'll see in the image it falls flat for certain lines containing special characters. Any help is appreciated. (added text format to help reproducibility)
ANSWER
Answered 2021-Mar-05 at 20:55Some issues I see right away:
- You are not leveraging the fact that the character name is all caps. Use
[A-Z]+
instead of\w+
in your regex for that. - You are not using the
SingleLine
regex option, so that's preventing the.
from matching multiple lines.
QUESTION
I'm creating a Python script to send alerts when a remote server's metrics are high. The server is using the Glances library running in webserver mode and my local machine is sending requests to the server's endpoints.
My requests get a response from the endpoint /api/3/cpu/total
but when I output the content of this response it's in bytes, which when converted to a string, isn't the response I get when curl
ing.
I've looked at previous answers relating to my situation but the ones I found are either from a long time ago or aren't relevant to a text output.
My Function
...ANSWER
Answered 2021-Feb-11 at 12:39I added the header:
QUESTION
I have some clusters of virtual machines running on the OpenStack cloud. I want to be able to get each machine's resource usage metrics. I am looking for an effective way to do this, especially through an API.
I have used Glances (a cross-platform monitoring tool), however as far as I know it doesn't fit my requirement because virtual machines will be created on the fly, so there is no way to include the IP address of a new virtual machine to glances config (I am open to ideas on doing that if anyone knows how I can do it).
So I am thinking of creating an API that can run regularly, then send a "GET" request to get metrics at a regular interval. The challenge with this is, I do not know what the content of the API should be. really, I would love an already existing API that I can just deploy into the machines. I am using C# for programming.
...ANSWER
Answered 2020-Sep-08 at 09:00Ceilometer and Gnocchi are what you are looking for:
The Ceilometer project is a data collection service that provides the ability to normalise and transform data across all current OpenStack core components with work underway to support future OpenStack components.
Ceilometer is a component of the Telemetry project. Its data can be used to provide customer billing, resource tracking, and alarming capabilities across all OpenStack core components.
Gnocchi is the project name of a TDBaaS (Time Series Database as a Service) project started under the Ceilometer programme umbrella.
Both Ceilometer and Gnocchi actually offer APIs for the retrieval of metrics. Please take a look in the following links:
- https://docs.openstack.org/ceilometer/pike/webapi/v2.html#resources
- https://gnocchi.xyz/stable_3.0/rest.html
I hope this addresses your question properly.
QUESTION
I have a standard environment NodeJS application deployed on Google Cloud App Engine. The app was first deployed in Nov 2019. I'm now trying to update the code, but I'm no longer able to deploy via $ gcloud app deploy
- I've tried using the online console at https://console.cloud.google.com/appengine/quotadetails?cloudshell=true as well as the stand alone downloaded console tooling. Both fail.
- The application works fine on localhost. It communicates with the online data storage just fine.
- I've tried using
$ gcloud app deploy --verbosity=debug
It's not much help. - I've verified the login's and accounting information, thru the Google Cloud console in the browser. At first three glances everything seems whole.
Current Error messages:
ERROR: (gcloud.app.deploy) Error Response: [9] Cloud build f3780207-1c95-4b88-8ae0-574fc6ad515b status: FAILURE Build error details: {"error":{"errorType":"BuildError","canonicalCode":"INVALID_ARGUMENT","errorId":"51A062A0","errorMessage":"INFO FTL version node-v0.17.0\nINFO Beginning FTL build for node\nINFO FTL arg passed: exposed_ports None\nINFO ...
lots of info removed here...
Two errors on the build log:
...ANSWER
Answered 2020-Aug-07 at 07:43So it turns out the billing account tied to this project was closed even thought the credit card on record was still valid. The error messages for $ gcloud app deploy
when there is a billing account problem don't remotely direct the user to the actual issue.
I'd much prefer to see an error message like Oops, the account appears to be closed. Please check billing details... . Keep it simple, make it accurate. And I can't believe I'm the first person to be here.
I did pull a bug report at Google Issue Tracker. Lets see where that goes?
QUESTION
Trying to debug extremely high frontend page generation times on a WordPress 5.3.2 site.
Here is sample data from the debug bar for a frontend page:
...ANSWER
Answered 2020-Mar-14 at 19:44Per the suggestion of @user1597430, I checked the child theme files and found requests to a remote MySQL server in one of them. That code was added a long time ago, and the MySQL server is no longer active. Hence the delay and eventual timeout.
QUESTION
I want to run the same code in parallel using multiprocess.
My process code run in 8 minutes alone. In 10 minutes when using the "force mono-thread" thing. But when I run 24 of them in parallel, each instance takes approximately 1 hour.
Before, when each process spanned threads furiously like a mad man, I had context switches of 1.6M. I then used the following env. variables to force Numpy to only use one thread per process:
...ANSWER
Answered 2018-Aug-20 at 13:06For my specific problem, I've found the answer. It seems that it's due to my hardware rather than the code.
The code runs fine in another server of 16 CPUs. When using 15 of them, I get a time of 8 minutes, which was exactly what I was looking for.
I think something in the old server makes it slow for multiprocesses.
Old server where it doesn't work:
QUESTION
Why is it standard in Python to have the main()
function and the if __name__ == '__main__'
check at the end of the block of code? It also seems standard for the abstraction of the functions to follow the same pattern upwards. What I mean is that the definition of the function to be executed by main()
is above the main()
and the definition of the functions inside that are above and so on..
That seems odd because when one opens the module to read the code, it ends up starting with low-level code and moves up to higher level functions. Isn't it hard to grasp what the module is doing that way?
Why not do the alternative? Have the if __name__
check at the top followed by the main()
function, and so on. This way, one quickly glances at what the main()
function does and understands what the code is about.
ANSWER
Answered 2020-Feb-10 at 09:02The purpose of an if __name__ == '__main__':
guard is to prevent a module from having side-effects when it's imported.
The fact that it is a module rather than a script implies that it will normally be used by other code importing the definitions from it, not executed directly. So given that, it makes sense that the functions, classes and constants appear first in the source code, since those are what users of the module will be importing (and hence, what they might want to see the source of).
So even if the code guarded by if __name__ == '__main__':
doesn't rely on the definitions in the module already having been evaluated (which would be unusual), this part of the code is usually the least important to the users of the module, so it doesn't belong at the start of the file.
QUESTION
This question explains how to make pip download and save packages. If I follow this formula, Pip will download wheel (.whl) files if available.
...ANSWER
Answered 2017-Jan-06 at 11:19According to pip install -h
:
--no-use-wheel Do not Find and prefer wheel archives when searching indexes and find-links locations. DEPRECATED in favour of --no-binary.
And
--no-binary Do not use binary packages. Can be supplied multiple times, and each time adds to the existing value. Accepts either :all: to disable all binary packages, :none: to empty the set, or one or more package
You may need to upgrade pip with pip install -U pip
if your version is too old.
QUESTION
I'm attempting to get two objects to ignore each other. I tried to implement the Physics2D.IgnoreCollision code, but as it stands, the first object falls from the sky, and either A) directly hits the object below, stays there for a second, and then continues moving down the screen, or B) merely glances off the object below if it hits it from a side angle. I want the two to completely ignore each other.
Here is my code:
...ANSWER
Answered 2019-Mar-27 at 16:53A (typically) better solution is to use layers to manage collision between categories of items. You would assign obj
-tagged objects to a particular layer, and the object in your post to another layer, then go into the Unity Physics Manager to disable collision between those layers. Further direction on that is available in the Unity Docs.
But if you must use tags, there is still a solution.
If you're calling Physics2D.IgnoreCollision
inside of a collision event, then you are only ignoring their collision after the collision event has affected the velocity, etc. of the objects. So, basically you're calling it too late.
A better alternative to get the behavior you're looking for is to call it in a method that runs after both objects have been created. The challenge there, is that you need a way to get a reference to the other game object you want to ignore.
One solution is to put the call into the objects in their OnEnable() methods, and then use FindGameObjectsWithTag
to find the other objects to ignore:
QUESTION
I have xdebug (2.6.0) installed on my machine (GNU/Linux Ubuntu 16.04) to debug PHP 7 project running with XAMPP apache 7.2.3, developing on Netbeans 8.2.
Everything is working fine. I opened another project (using the same configurations), added a breakpoint and started debugging the project to fix a bug. As soon the debugger reaches the breakpoint, I can see from glances (a system monitor tool) the memory usage is increasing insanely until it almost reaches 100% and then starts using swap space. That's when the system gets really really slow and I couldn't use it any more. I have to restart the machine to get it back working.
This is a very strange behavior to me and I cannot even guess what to look at or the key words to research with.
I did the usual trials:
- Restarting netbeans, XAMPP, and the machine.
- Changing the breakpoint
- Switching to the previous project and validating that this happens only with the other project in particular.
I googled with keywords like: netbeans - memory blow - system crash - xdebug - breakpoint - PHP - high memory usage
You might find the following snippet off php.ini interesting:
...ANSWER
Answered 2018-Dec-08 at 13:34I solved the problem by clearing/deleting all files and directories at ~/.netbeans
(I'm using Netbeans on Linux Ubuntu).
Removing the cache didn't solve the problem. Deleting netbeans project files didn't solve the problem.
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