SublimePrettyJson | Lint JSON plugin for Sublime Text | Plugin library

by dzhibas Python Version: 1.3.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | SublimePrettyJson Summary

SublimePrettyJson is a Python library typically used in Plugin applications. SublimePrettyJson has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However SublimePrettyJson build file is not available. You can download it from GitHub.

Prettify/Minify/Query/Goto/Validate/Lint JSON plugin for Sublime Text 3 & 4.

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Quality

Security

License

Reuse

Support

SublimePrettyJson has a medium active ecosystem.

It has 1985 star(s) with 177 fork(s). There are 44 watchers for this library.

It had no major release in the last 12 months.

There are 20 open issues and 110 have been closed. On average issues are closed in 192 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SublimePrettyJson is 1.3.1

Quality

SublimePrettyJson has 0 bugs and 0 code smells.

Security

SublimePrettyJson has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SublimePrettyJson code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SublimePrettyJson is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

SublimePrettyJson releases are available to install and integrate.

SublimePrettyJson has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

SublimePrettyJson saves you 717 person hours of effort in developing the same functionality from scratch.

It has 1665 lines of code, 92 functions and 11 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed SublimePrettyJson and discovered the below as its top functions. This is intended to give you an instant insight into SublimePrettyJson implemented functionality, and help decide if they suit your requirements.

Dump a Python object to a file - like object
Encodes an object
Clears the list
Creates a bytecode
Serialize obj to a string
Encode the given object
Encode a base string
Runs the editor
Clear the phantom set
Return an error message
Runs the view
Called when the view is saved
Run the wizard
Try to import C ++
Encode a JSON object
Return floating point values
Return an OrderedDict
Replace the editor
Run the widget
Main entry point
Go to the specified position
Enable speedups
Run the editor
Sends a query to the server
Load data from a file - like object
Create a JSON scanner

Get all kandi verified functions for this library.

SublimePrettyJson Key Features

No Key Features are available at this moment for SublimePrettyJson.

SublimePrettyJson Examples and Code Snippets

No Code Snippets are available at this moment for SublimePrettyJson.

Community Discussions

Trending Discussions on SublimePrettyJson

How to show the path to a given key in a big JSON?

QUESTION

How to show the path to a given key in a big JSON?

Asked 2017-Oct-11 at 21:13

I have a very very big JSON and I'd like to check the path to some keys. Pretty printing doesn't help if the JSON is very large and lot of hierarchies. I'm using Sublime 3 and jq together with the Pretty JSON plugin. Is there a way to know the full path(s) to a given key using the jq tool or any other way? I could write a JSON parser in some language and do it but I need just to figure out quickly where things are.

...

ANSWER

Answered 2017-Oct-11 at 15:01

It would be easier to answer more precisely if you can provide a small sample of your data and the desired output but in any event the --stream option may be what you want. From the documentation:

Streaming
With the --stream option jq can parse input texts in a streaming fashion, allowing jq programs to start processing large JSON texts immediately rather than after the parse completes. If you have a single JSON text that is 1GB in size, streaming it will allow you to process it much more quickly.

However, streaming isn’t easy to deal with as the jq program will have [, ] (and a few other forms) as inputs.

Here are some existing answers you may want to review.

The JQ Cookbook also has an example:

Processing a huge JSON array of items

Source https://stackoverflow.com/questions/46687961

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SublimePrettyJson

Sublime Text 2 No longer supported.
cd <Packages directory> (MacOS: ~/Library/Application\ Support/Sublime\ Text/Packages)
git clone https://github.com/dzhibas/SublimePrettyJson.git "Pretty JSON"
cd <Packages directory> (MacOS: ~/Library/Application\ Support/Sublime\ Text\ 3/Packages)
git clone https://github.com/dzhibas/SublimePrettyJson.git "Pretty JSON"
cd Pretty JSON
git checkout st3

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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