wrangler | Wrangler Transform : A DMD system for transforming Big Data | Serialization library

It shows or hides every form because you're using .each(). That means it will perform the task for every single occurence of that class. What you wanna do is performing it only on the clicked ones parent.

You need to find the parent element and hide or show only the inputs in that category. Not all occurences of that class in general.

As far as I know, there's no way to emulate Workers KV locally. However, I setup a local Redis instance as a substitute.

Then, I created some wrapper functions for the KV store. In development, it talks to Redis, and in production it talks to Workers KV. For instance, here's the wrapper function for get.

The following assumes bash (if you don't use bash replace $'\t' by a quoted real tab character) and GNU coreutils. It also assumes that you want to sort alphabetically by Make column first, then numerically in decreasing order by Total, and finally keep at most the first 3 of each Make entries.

Sorting is a job for sort, head and tail can be used to isolate the header line, and awk can be used to keep maximum 3 of each Make, and re-number the first column:

Assumptions:

• input fields are comma-delimited (while OP's sample input is displayed as fixed-width with pipe boundaries, OP's awk code stipulates "FS=",", and since OP claims the awk code is running and generating output, we'll stick with FS=",")
• the 2nd line in OP's sample input (solid line of hyphens) does not actually exist in OP's file (per fact OP's awk code does not code for NR==2)
• output will be tab-delimited (while OP's awk code mentions OFS="\t\t", the sample outputs appear to be ... fixed-width?)
• Ranking assigments are based on the sorted results (ie, not based on the input ordering as shown in OP's awk code)

Setup:

Use a CTE which returns the column Total for each row and ROW_NUMBER() window function to pick the first 3 rows for each Make and to create the column Ranking:

For sum of columns in a single row you need no extra function like SUM. Use + oerator:

You can try to convert the _id column to string before saving it to parquet.

I think there is currently some disconnect / confusion between the meaning of "environments" as defined in the new Dashboard functionality, and the pre-existing wrangler "environment" support.

For the Dashboard / Web UI, you define a "Service" which has multiple workers grouped under it (one per environment). This allows "promoting" a worker from one environment to another (essentially copying the script, but having separate variables and routes).

There is separate documentation for this functionality - https://developers.cloudflare.com/workers/learning/using-services#service-environments

Wrangler "environments", as you've seen, work differently. Simply creating one top-level "production" worker / service (named for the environment). The good news is (according to the docs above) it sounds like Cloudflare will be updating wrangler to support the new Dashboard type environments:

As of January 2022, the dashboard is the only way to interact with Workers Service environments. Support in Wrangler is coming in v2.1

https://github.com/cloudflare/wrangler2/issues/27

I just figured out that awswrangler has a parameter called s3_additional_kwargs that you can pass additional variables to the s3 requests that awswrangler does for you. You can send tags like in boto3 'Key1=value1&Key2=value2'

Below is an example how to add tags to your objects: