jmespath.py VS jc

The Azure CLI lets us write queries to filter the results of the az storage blob list command. The queries are written in JMESPath, which is a query language for JSON. In this case, we are filtering the results to only include blobs that end with the .bacpac extension and then selecting the first one as ordered by the lastModified property. If there are no blobs found, the script exits with a failure code. If we find a blob, we download it to the local path specified by the localPath variable.

For JSON there is the `jmespath` library which might help.

https://github.com/jmespath/jmespath.py

I love jq, but I also use JMESPath (especially with AWS CLI), yq (bundled with tomlq and xq as well), and dasel [2]. I also wish hclq [3] wasn't so dead!

[0]: https://jmespath.org/

Probably writing the query side of things is a lot of the fun here, but there is actually a spec (and a complying Rust impl) you can hook into for this JQ-like querying: https://jmespath.org/ ( https://github.com/jmespath/jmespath.rs ).

Thanks to custom variables that use labels, we can create various filters for the dashboard. You can look up my configuration of variables and extend it with an analogy way for your own needs. At the top, I marked the filter with detected pods in selected namespace. In the lower part, you can see a preview of all labels that are associated with a single log line. Most labels are meta information that Promtail adds during scraping targets. This part of the Promtail configuration provides it. In this section, I also marked a few labels that not comes out-of-the box e.g. leavel , class , thread . We added these labels using the Promtail json stage. You need to know that Promtail processes scraped logs in a pipeline. A pipeline is comprised of a set of stages. json stage is a parsing stage that reads the log line as JSON and accepts JMESPath expressions to extract data.

The tester on the official website for JMESPath (what json_query is doing) has been useful to me: https://jmespath.org/

Interesting. How does this compared to Jmespath? Not saying Jmespath is superior, just wondering whether you were aware of it.

https://github.com/kellyjonbrazil/jc - "CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts."

> I'd love to see programs communicate through a typed JSON/proto format that shed enough details to make this more independent, and get useful shell command structuring/completion or full blown GUIs from simply introspecting the expected input and output types.

You should try PowerShell. It's basically Microsoft's .NET ecosystem molded into an interactive command line. I'm not entirely sure if PoweShell can make full use of the static types that build up its core, but its ability to exchange objects in the command line is almost unmatched.

On Linux you can use `jc` (https://github.com/kellyjonbrazil/jc) combined with `jq` (https://jqlang.github.io/jq/) to glue together command lines.

In addition to my previous comment about jq-like tools, I want to share a couple other interesting tools, which I use alongside jq are jo [0] and jc [1].

[0]: https://github.com/jpmens/jo

[1]: https://github.com/kellyjonbrazil/jc

> I wanted to write some wrappers for the standard commands that automatically did all this via `jq`.

If you're not already aware of it, you may wish to check out `jc`[0] which describes itself as a "CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq..."

The `jc` documentation[1] & parser[2] for `ls` also demonstrates that reliable & cross-platform parsing of even "basic" commands can be non-trivial.

[0] https://github.com/kellyjonbrazil/jc

[1] https://kellyjonbrazil.github.io/jc/docs/parsers/ls

[2] https://github.com/kellyjonbrazil/jc/blob/4cd721be8595db52b6...