automated | Automation system for a radio station

I have a bunch of Cloudfront distributions scattered across a number of AWS accounts. I'd like to get the Usage Reports for all Cloudfront distros across all AWS accounts.

Now, I have the change-account bit already automated, but I'm not sure how to get the CSV report via the AWS CLI.

I know I can do some ClickOps and download the report via the Cloudfront Console, like here:

but I can't find the command to get the report with the AWS CLI.

I know I can get the Cloudfront metrics via the Cloudwatch API but the documentation doesn't mention the API endpoint I should be querying.

Also, there's aws cloudwatch get-metric-statistics, but I'm not sure how to use that to download the Cloudfront Usage CSV Report.

Question: How can I get the Cloudfront Usage Report for all distributions in an AWS account using the AWS CLI?

I am writing a lambda function that takes a list of CW Log Groups and runs an "export to s3" task on each of them.

I am writing automated tests using pytest and I'm using moto.mock_logs (among others), but create_export_tasks() is not yet implemented (NotImplementedError).

To continue using moto.mock_logs for all other methods, I am trying to patch just that single create_export_task() method using mock.patch, but it's unable to find the correct object to patch (ImportError).

I successfully used mock.Mock() to provide me just the functionality that I need, but I'm wondering if I can do the same with mock.patch()?

Working Code: lambda.py

I am running into the following error when I try to run Automated ML through the studio on a GPU compute cluster:

Error: AzureMLCompute job failed. JobConfigurationMaxSizeExceeded: The specified job configuration exceeds the max allowed size of 32768 characters. Please reduce the size of the job's command line arguments and environment settings

The attempted run is on a registered tabulated dataset in filestore and is a simple regression case. Strangely, it works just fine with the CPU compute instance I use for my other pipelines. I have been able to run it a few times using that and wanted to upgrade to a cluster only to be hit by this error. I found online that it could be a case of having the following setting: AZUREML_COMPUTE_USE_COMMON_RUNTIME:false; but I am not sure where to put this in when just running from the web studio.

I frequently receive PDFs that contain (when converted with pdftotext) whitespaces between the letters of some arbitrary words:

This i s a n example t e x t that c o n t a i n s strange spaces.

For further automated processing (looking for specific words) I would like to remove all whitespace between "standalone" letters (single-letter words), so the result would look like this:

This isan example text that contains strange spaces.

I tried to achieve this with a simple perl regex:

s/ (\w) (\w) / $1$2 /g

Which of course does not work, as after the first and second standalone letters have been moved together, the second one no longer is a standalone, so the space to the third will not match:

This is a n example te x t that co n ta i ns strange spaces.

So I tried lockahead assertions, but failed to achieve anything (also because I did not find any example that uses them in a substitution).

As usual with PRE, my feeling is, that there must be a very simple and elegant solution for this...

I want to know if there's a software design pattern that can solve a challenge I'm facing. I have a web application that works with several different user role types like SuperAdmin, Admin, Reseller, Dealer, Customer, Volunteer, etc...

And our React code is littered with if statements that check a person's role as well as other conditions to decide "what type of ui component" to present them. Here's a very simplified example:

Updating this post, once again.

This time to make things clearer. I am trying, to parse in a Grid of size 9x9, but this size can change overtime, its not fixed. This is a board game called Quoridor. What I have at my disposal, is a Board class. This provides me with the following, horizontal bool[,], and vertical bool[,], I can loop over each and print out x, y position. But these differ, depending on if its horizontal direction, or vertical direction and position.

The player can move one step ONLY either north, south, west, or east in terms of direction. The other player (human) can put a wall (obstacle) which covers two blocks horizontally or vertically. My automated player has to build a Graph of Nodes from the board, and refresh the Graph based on the changes on the board and its own position. For example, if the player cannot go to left, from current position, then an edge which connects two nodes will be deleted between them, only if caused by an obstacle. And then the BFS will run again against the Graph and return a new position (x, y) which this (automated) player uses and performs its move.

Every single block on the 9x9 grid, will represent one Node in the Graph. Meaning the number of vertices or nodes List in the Graph will be 9x9=81. Each of the Nodes hold a list or 2D array of size 4 for representing North, South, West, and East which could be of a bool type.

Now, I have provided a sample code of the Graph class I wrote along with a Node class. I hope the latest information herein makes it clear. I have already implemented the BFS algorithm. But this part is what I cannot understand correctly. I watched this video for some ideas: https://www.youtube.com/watch?v=KiCBXu4P-2Y

Code

I am doing some time series forecasting analysis with the fable and fabletools package and I am interested in comparing the accuracy of individual models and also a mixed model (consisting of the individual models I am using).

Here is some example code with a mock dataframe:-

is there a way in DBT to create custom schemas for a model in a derived way by looking at the folder structure?

For example, say this is my structure:

I am creating a npm package, basically it is a function that return an object that return the return of the function itself