jmespath.terminal | JMESPath exploration tool in the terminal
kandi X-RAY | jmespath.terminal Summary
kandi X-RAY | jmespath.terminal Summary
JMESPath exploration tool in the terminal
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Top functions reviewed by kandi - BETA
- Render jmespath
- Generate colors from tokens
- Create a json string from a given string
- Main loop
- Create the view
- Return font instance
- Load JSON from stdin
- Display the last result
jmespath.terminal Key Features
jmespath.terminal Examples and Code Snippets
Community Discussions
Trending Discussions on jmespath.terminal
QUESTION
jq
is a lightweight and flexible command-line JSON processor.
https://stedolan.github.io/jq/
Is there a jq
command line tool or wrapper which lets you pipe output into it and interactively explore jq
, with the JSON input in one pane and your interactively updating result in another pane, similar to jmespath.terminal
?
I'm looking for something similar to the JMESPath Terminal jpterm
"JMESPath exploration tool in the terminal"
https://github.com/jmespath/jmespath.terminal
I found this project jqsh
but it's not maintained and it appears to produce a lot of errors when I use it.
https://github.com/bmatsuo/jqsh
I've used https://jqplay.org/ and it's a great web based jq
learning tool. However, I want to be able to, in the shell, pipe the json output of a command into an interactive jq
which allows me to explore and experiment with jq
commands.
Thanks in advance!
...ANSWER
Answered 2017-Jan-17 at 02:56You may have to roll-your-own.
Of course, jq itself is interactive in the sense that if you invoke it without specifying any JSON input, it will process STDIN interactively.
If you want to feed the same data to multiple programs, you could easily write your own wrapper. Over at github, there's a bash script named jqplay that has a few bells and whistles. For example, if the input command begins with | then the most recent result is used as input.
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Install jmespath.terminal
You can use jmespath.terminal like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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