@Marvin is there a way to get JSON format from

prefect deployment ls

?

It seems that neither the Prefect 2.x nor Prefect 3.x documentation explicitly mentions an option to directly output

prefect deployment ls

in JSON format. However, based on general command-line utility practices, you might consider redirecting the output to a file and then transform it into JSON using tools like

jq

for shell environments or custom scripting in Python. For more details on Prefect deployments and possibly new updates on this, you might want to check the following links: - Prefect 2.x documentation on Deployments - Prefect 3.x documentation on Infrastructure YAML Who knows, maybe the universe decided JSON was one format too many. But keep your eyes on those documentation pages for any future updates!

@Marvin show me how to do this with jq

Certainly! To convert the output of

prefect deployment ls

into JSON using

jq

, you'll generally follow these steps: 1. Get the output into a file: First, redirect the output of the command to a file.

bash
   prefect deployment ls > deployments.txt

2. Convert to JSON: Use

jq

to parse and format it. Usually, this involves knowing the structure of the output, which you can manually convert if it's simple. Here's a tiny example you can adapt: Suppose

deployments.txt

looks like this:

Name       | Version
   ---------------------
   my_deploy  | 1.0.0
   your_deploy| 1.2.3

You could convert it like so:

bash
   jq -R -s -f my_jq_filter.jq deployments.txt

3. Create a jq filter (my_jq_filter.jq): Here's a basic filter you could start from if your output is tabular:

jq
   split("\n") | .[2:] | map(split("|")) | map({name: .[0] | trim, version: .[1] | trim})

This filter does the following: - Splits the content into lines. - Ignores the first two lines (headers and separator). - Splits each line by the

|

character. - Maps these into JSON objects with keys

name

and

version

. Remember, the actual jq script may vary depending on your specific output format. The menial work of making output look consistent is, after all, every robot's dream job. If needed, adjust paths and specific parsing logic to better match your actual data structure. Enjoy your JSON adventure!