specifications
gron
specifications | gron | |
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6 | 64 | |
9 | 13,520 | |
- | - | |
4.1 | 0.0 | |
4 months ago | 6 months ago | |
HTML | Go | |
MIT License | MIT License |
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specifications
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SVGs as Elm Code
Notice that here I used a convention where names which end with "=" become XML attributes, whereas names which don't become children.
I have used the same convention here (except I don't bother with transforming names with spaces into camelCase): https://github.com/jevko/specifications/blob/master/easyjevk... to generate this HTML file: https://htmlpreview.github.io/?https://github.com/jevko/spec...
Now I intend to write specifications that codify conventions like this into different formats based on this fundamental syntax of square brackets.
It can be useful for all kinds of things. Its advantage is extreme simplicity and flexibility.
BTW, for clarity I have to say that the format that I used here: https://news.ycombinator.com/item?id=32995047 does a bit more transformations -- it actually sometimes treats whitespace as a separator (e.g. in `svg width[391]` space is a separator). That allows for extreme conciseness, but is not necessary and introduces complexity.
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Jc – JSONifies the output of many CLI tools
A plain Jevko parser simply turns your unicode sequence into a tree which has its fragments as leaves/labels.
No data types on that level, much like in XML.
Now above that level there is several ways to differentiate between them.
The simplest pragmatic way is a kind of type inference: if a text parses as a number, it's a number, if it's "true" or "false", it's a boolean. Otherwise it's a string. If you know the implicit schema of your data then this will be sufficient to get the job done.
Otherwise you employ a separate schema -- JC in particular has per-parser schemas anyway, so that's covered in this case.
Or you do "syntax-driven" data types, similar to JSON, e.g. strings start w/ "'".
Here is a shitty demo: https://jevko.github.io/interjevko.bundle.html
It shows schema inference from JSON and the schemaless (syntax-driven) flavor.
Jevko itself is stable and formally specified: https://github.com/jevko/specifications/blob/master/spec-sta...
It's very easy to write a parser in any language (I've written one in several) and from there start using it.
However, I am still very much working on specifications for formats above Jevko. I have some recent implementations of the simplest possible format which converts Jevko to arrays/objects/strings:
* https://github.com/jevko/easyjevko.lua
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Jevko: a minimal general-purpose syntax
Thank you for your feedback. Can you clarify?
What is the "first page" that you are referring to?
Can you paste a link to it along with the broken examples link?
This Hacker News submission features the blog post under this URL:
https://djedr.github.io/posts/jevko-2022-02-22.html
Clearly, you are not talking about this page, as that contains multiple links rather than a singular link.
Perhaps you are talking about the specification which is here:
https://github.com/jevko/specifications/blob/master/spec-sta...
(linked from the blog post)
and here:
https://jevko.org/spec.html
(linked from jevko.org)
All three link to Jevko examples here:
https://github.com/jevko/examples
but all these examples links seem to be correct on my end.
I agree about the importance of examples, and I try to lead with them on jevko.org and jevko.github.io (which are the front pages of Jevko -- possibly I should merge them into one).
However a formal specification is not necessarily the place to put the leading examples.
This is also where the Subjevko rule is defined. It isn't quite introduced as "known knowledge" -- the purpose of a specification is to define the unknown, more or less from the ground up. This is also why specifications tend to get a little abstract. Jevko's spec is no exception. This should be in line with expectations of authors of tools such as parsers, validators, generators, or other kinds of processors, for which the spec is the authoritative reference.
It is not necessarily the best first place to look for explanation, if you are approaching from a more casual side.
I agree that from that side a clear picture of what Jevko is and how it can be used is still lacking. I certainly should add more examples and explain the concepts with analogies.
So I appreciate the essence of your advice and hope I'll manage to improve on that.
- Syntax Design
gron
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Frawk: An efficient Awk-like programming language. (2021)
gron (https://github.com/tomnomnom/gron) to transform it and query and then invert the transformation?
- Show HN: Flatito, grep for YAML and JSON files
- Gron: Make JSON greppable
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Make JSON Greppable
It buffers all of its output statements in memory before writing to stdout:
https://github.com/tomnomnom/gron/blob/master/main.go#L204
- Ask HN: What are some unpopular technologies you wish people knew more about?
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Jaq – A jq clone focused on correctness, speed, and simplicity
Have you tried `gron`?
It converts your nested json into a line by line format which plays better with tools like `grep`
From the project's README:
▶ gron "https://api.github.com/repos/tomnomnom/gron/commits?per_page..." | fgrep "commit.author"
json[0].commit.author = {};
json[0].commit.author.date = "2016-07-02T10:51:21Z";
json[0].commit.author.email = "[email protected]";
json[0].commit.author.name = "Tom Hudson";
https://github.com/tomnomnom/gron
It was suggested to me in HN comments on an article I wrote about `jq`, and I have found myself using it a lot in my day to day workflow
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Interactive Examples for Learning Jq
> So all I want is a tool to go from json => line oriented and I will do the rest with the vast library of experience I already have at transformations on the command line.*
The tool for that is likely https://github.com/tomnomnom/gron
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Modern Linux Tools vs. Unix Classics: Which Would I Choose?
If JQ is too much, see GRON &| Miller
gron transforms JSON into discrete assignments to make it easier to grep for what you want https://github.com/tomnomnom/gron
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON https://github.com/johnkerl/miller
- XML is better than YAML
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jq 1.7 Released
And jless [1] and gron [2].
This is the first I'm hearing of gron, but adding here for completeness sake. Meanwhile, JSON seems to be becoming a standard for CLI tools. Ideal scenario would be if every CLI tool has a --json flag or something similar, so that jc is not needed anymore.
[1] https://jless.io/
[2] https://github.com/tomnomnom/gron
What are some alternatives?
binary-experiments - Experiments with various binary formats based on Jevko.
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
mint-lang - :leaves: A refreshing programming language for the front-end web
jfq - JSONata on the command line
easyjevko.lua - An Easy Jevko library for Lua.
xidel - Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
algebralang - at this time this is some example code of a language I want to build
pup - Parsing HTML at the command line
tree - A Data Modeling Programming Language
JsonPath - Java JsonPath implementation
yapl - YAml Programming Language
fx - Terminal JSON viewer & processor