greenish | Data monitoring tool , monitors the result , not the run | Dashboard library
kandi X-RAY | greenish Summary
kandi X-RAY | greenish Summary
Greenish provides a basic HTML dashboard to visualise the state of the monitored jobs. The dashboard can be accessed at /dashboard.
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greenish Examples and Code Snippets
Lines of Code : 29License : Permissive (MIT)
Copyakka {
# Log the complete configuration at INFO level when Greenish is started.
# This is useful when you are uncertain of what configuration is used.
log-config-on-start = on
# Options are: OFF, DEBUG, INFO, ERROR, WARN
loglevel = "DEBUG"
#!/usr/bin/env bash
farm=$1; shift
echo '# Start of checks'
for period in "$@"; do
echo '# Arbitrary debugging info here'
## Note how the `ls` command below does print some output, which
## Greenish will ignore. (Unless the input directory is $ sbt assembly
$ java -Dconfig.file=PATH_TO_CONFIG_FILE -jar target/scala-2.13/greenish-assembly-*.jar
$ sbt docker:publishLocal
# The docker image expects config to be mounted at: /app/config.yml
$ docker run --volume PATH_TO_CONFIG_FILE:/app/confi Community Discussions
Trending Discussions on greenish
QUESTION
I want to make this custom CIFilter.
...ANSWER
Answered 2021-Sep-09 at 17:08The pointer you get with withUnsafeMutableBufferPointer is only valid inside the closure you passed to the function. You need to allocate a more "permanent" storage for the parameters.
You can start by using something like UnsafeMutableBufferPointer.allocate to allocate the memory, but you will have to track the memory somewhere, because you will need to deallocate it after you are done using it.
QUESTION
I am running a query on localhost, I am extremely unfamiliar with SQL. I am using a golang library to generate the query statement. This is for an enterprise app so I don't have time to evaluate and code all possible performance cases. I'd prefer good performance for the largest possible queries:
- upto 6 query parameters eg. BETWEEN 'created' AND 'abandoned', BETWEEN X AND Y, IN (1,2,3.....25), IN ('A', 'B', 'C'....'Z')
- JOINs/subqueries between a 2-5 tables
- returning between 50K-5M records (LAT and LNG)
Currently I am using JOIN to find the lat, lng for a record, and some query parameters. Should I join differently, (left, right)? Should the FROM table be the record or the relation? Subqueries?
Is this query performance reasonable from a UI perspective? This is on localhost (docker) on a fairly low performance laptop, under WSL (16GB RAM / 6 core CPU [2.2GHz]).
...ANSWER
Answered 2021-Sep-03 at 19:35A few things.
QUESTION
I am making a game similar to the stack game on iOS (https://apps.apple.com/us/app/stack/id1080487957).
In the screenshot, each box is in a color slightly different from the box below. The background is also changing, in case of conflict of background and boxes.
I am wondering how to generate this sequence of color palette for the boxes, and a corresponding background color that helps to make the box stand out.
What I have tried is very naive:
...ANSWER
Answered 2021-Sep-10 at 00:06A very long time ago, in a different programming language, I spent way too much time trying to come up with a blending algorithm which "worked" the way I expected it to.
Sooo, I spent a lot of time fiddling with it, until I came up with an approach which worked for me. So I've dragged the concept over to UIKit, for example.
Now, this is a little basic. I'd considered writing an extension to make it easier to get the RGB colors, in a more "structured" way, as well as adding the blending algorithm as an extensions to UIColor, but you get the basic idea.
I've also included a basic darken and lighten algorithm, based on the same concept as the blend. In fact, if you have the color and know the number of samples (ie total number of bricks), you could easily just darken or lighten the base color by that factor, but where's the fun in that :P
Put the code in a playground and see what you get
QUESTION
- I am attempting to only keep the part of the image bounded by the orange/greenish line in lot #17.
As you can see the shape is fairly non standard and I am new to image processing so my approach thus far has been brute forced and error prone.
Each image I need to do this for has a black dot (
rgbof (77,77,77)) in the center of the shape I want to crop which has been my anchor.
ANSWER
Answered 2021-Jun-23 at 11:13First of all: If you have access to the generation of these images, save them as lossless PNGs! Those JPG artifacts make it even harder to get proper results. For example, only one pixel of your "black" dot actually has RGB values of (77, 77, 77). Therefore, I omitted the programmatically finding of the "black" dot, and assumed the image center as the dot location.
Since you have kind of red-ish lines with some kind of yellow-ish dots, I rectified the red channel by subtracting a portion of the green channel to get rid of yellow-ish colors. After some further emphasizing (red-ish lines have high values in the red channel), the new red channel looks like this:
On that new red channel, I use some kind of Laplace operator to detect the (red-ish) lines. After some further processing, that'd be the result:
From there, it's just some thresholding using Otsu's method to get a proper binary image to work on:
Finally, I find all contours, and iterate them. If I find an inner(!) contour – please see this answer for an extensive explanation on contour hierarchies – which contains the location of the "black" dot, that must be shape of interest. Since you might get some odd, open contours from the surrounding, you need to stick to inner contours. Also, it's an assumption here, that the shape of interest is closed.
After extracting the proper contour, you just need to set up a proper mask, and for example blacken the background, or crop the image using the bounding rectangle of that mask:
Here's the full code:
QUESTION
I need to add a border to each image in a set of tightly cropped logos. The border color should either match the most commonly used color along the edge, OR, if there are too many different edge colors, it should choose some sort of average of the edge colors.
Here's an example. In this case, I would want the added border to be the same color as the image "background" (using that term in the lay sense). A significant majority of the pixels along the edges are that color, and there are only two other colors, so the decision algorithm would be able to select that rather drecky greenish tan for the added border (not saying anything bad about the organization behind the logo, mind you).
Does Pillow have any functions to simplify this task?
I found answers that show how to use Pillow to add borders and how to determine the average color of an entire image. But I couldn't find any code that looks only at the edges of an image and finds the predominant color, which color could then be used in the border-adding routine. Just in case someone has already done that work, please point me to it. ('Edges' meaning bands of pixels along the top/bottom/left/right margins of the image, whose height or width would be specified as a percentage of the image's total size.)
Short of pointing me to a gist that solves my whole problem, are there Pillow routines that look at edges and/or that count the colors in a pixel range and put them into an array or what not?
I see here that OpenCV can add a border the duplicates the color of the each outermost pixel along all four edges, but that looks funky—I want a solid-color border. And I'd prefer to stick with Pillow—unless another library can do the whole edge-color-analysis-and-add-border procedure in one step, more or less, in which case, please point it out.
...ANSWER
Answered 2021-Apr-21 at 10:54Overwrite the center part of the image with some fixed color, that – most likely – won't be present within the edge. For that, maybe use a color with a certain alpha value. Then, there's a function getcolors, which exactly does, what you're looking for. Sort the resulting list, and get the color with the highest count. (That, often, will be the color we used to overwrite the center part. So check for that, and take the second entry, if needed.) Finally, use ImageOps.expand to add the actual border.
That'd be the whole code:
QUESTION
I would like to detect this gate below, ideally the entire gate. I have played around for hours with a trackbar script but I am just not finding the right color space. I found other threads that just track yellow and not even that is working.. This is my code:
...ANSWER
Answered 2021-Apr-20 at 02:14This seems to work for me by thresholding in LAB colorspace in Python/OpenCV. According to Wikipedia at https://en.wikipedia.org/wiki/CIELAB_color_space "The a* axis is relative to the green–red opponent colors, with negative values toward green and positive values toward red." So we ought to get reasonably good separation for your green and reddish colors.
Input:
QUESTION
I'm showing a notification in my app. I would like the small icon to be white in the status bar but another color (greenish) in the notification itself, as described in this question.
I'm using a 72x72, pure white, transparent, RGB-gamma-color-space PNG file as the icon:
This is how it appears in the status bar:
But it's still white in the notification itself (even though the app title gets the correct color):
This is the code I use to display the notification:
...ANSWER
Answered 2021-Apr-01 at 17:58Downscaling the icon to exactly 48x48 pixels suddenly made the correct color appear. I still don't understand this undocumented behavior.
QUESTION
I'm having the following dataframe.
Fruit Description Apple ["red", "big"] Banana ["yellow", "long"] Banana ["elongated, twisted"] Peach ["round"] Apple ["round", "greenish"]And I'm trying to group by the descriptions according to the fruit, through a concatenation of the lists. I should obtain that:
Fruit Description Apple ["red", "big", "round", "greenish"] Banana ["yellow", "long", "elongated, twisted"] Peach ["round"]I followed the solution provided here: pandas groupby and join lists:
...ANSWER
Answered 2021-Feb-05 at 14:06That's because your Description column is string. You can strip out the [] and sum:
QUESTION
I am new to Spring and trying to understand a few things. In spring docs read about spring tools and thought to give it a try.
I installed Spring Tools 4.9.0 from Eclipse Marketplace and use it to import a tutorial project (File > New > Other > Import Spring Getting Started Context). Run the app with Boot Dashboard and it works as it should.
Saw in some tutorial videos when the app runs annotations become greenish and if you hover over them you get info like bean id etc. In my case nothing like that happens. Do i need to configure something in eclipse or am i missing something else?
Thanks in advance.
...ANSWER
Answered 2021-Jan-29 at 08:57The feature you are referring to is the "Live Application Information", the user guide section for this is here: https://github.com/spring-projects/sts4/wiki/Live-Application-Information.
In order to have an app showing that live information in the tools, it has to have the spring boot actuators on the classpath: https://docs.spring.io/spring-boot/docs/current/reference/html/production-ready-features.html.
Depending on the exact guide that you chose it might not have actuators on the classpath out-of-the-box. In that case, add the actuator dependency to your pom.xml file, do a "Maven -> Update Project" from the context menu and start the app again using the dashboard. Then the green live information highlights should appear.
QUESTION
I would like to have a 2 by 3 figure with 6 correlation plots, sharing the same scale, even when the values in the plots have different ranges. Below you can see what I have so far.
In the first column, the values range from 0 to 1, with 1 on the diagonal, and close to 0 elsewhere. For the other two columns it holds for the top row that the values range from 0 to 1, whereas the values in the bottom row range from -1 and 1. The difference between the second and third column is that the values in the second column are around 0.3 (and -0.3) and the values in the third column are around 0.7 (and -0.7).
As you can see, several things seem to be going incorrect. First of all, although I want them all to be plotted according to the same color scale, with dark blue being -1 and yellow being 1, this is clearly not the case. If this would hold, we would have bright blue/greenish in the first column. What could I do to indicate the range for the colors? Next, how do I change the labels of the color scale on the right? I would like it to range from -1 to 1.
Below, you find my implementation.
...ANSWER
Answered 2021-Jan-13 at 09:11You need to provide a norm= argument to matshow() so that the data is scaled to the range [-1, 1] rather than a range defined by the min and max value present in the data. See Colormap Normalization for more details.
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