mirror of
https://github.com/ralsina/tartrazine.git
synced 2024-11-10 13:32:24 +00:00
141 lines
3.8 KiB
Markdown
141 lines
3.8 KiB
Markdown
# enry [![GoDoc](https://godoc.org/gopkg.in/src-d/enry.v1?status.svg)](https://godoc.org/gopkg.in/src-d/enry.v1) [![Build Status](https://travis-ci.org/src-d/enry.svg?branch=master)](https://travis-ci.org/src-d/enry) [![codecov](https://codecov.io/gh/src-d/enry/branch/master/graph/badge.svg)](https://codecov.io/gh/src-d/enry)
|
|
|
|
File programming language detector and toolbox to ignore binary or vendored files. *enry*, started as a port to _Go_ of the original [linguist](https://github.com/github/linguist) _Ruby_ library, that has an improved *performance of 100x*.
|
|
|
|
|
|
Installation
|
|
------------
|
|
|
|
The recommended way to install simple-linguist
|
|
|
|
```
|
|
go get gopkg.in/src-d/enry.v1/...
|
|
```
|
|
|
|
To build enry's CLI you must run
|
|
|
|
make build-cli
|
|
|
|
it generates a binary in the project's root directory called `enry`. You can move this binary to anywhere in your `PATH`.
|
|
|
|
Examples
|
|
--------
|
|
|
|
```go
|
|
lang, safe := enry.GetLanguageByExtension("foo.go")
|
|
fmt.Println(lang)
|
|
// result: Go
|
|
|
|
lang, safe := enry.GetLanguageByContent("foo.m", "<matlab-code>")
|
|
fmt.Println(lang)
|
|
// result: Matlab
|
|
|
|
lang, safe := enry.GetLanguageByContent("bar.m", "<objective-c-code>")
|
|
fmt.Println(lang)
|
|
// result: Objective-C
|
|
|
|
// all strategies together
|
|
lang := enry.GetLanguage("foo.cpp", "<cpp-code>")
|
|
```
|
|
|
|
Note the returned boolean value "safe" is set either to true, if there is only one possible language detected or, to false otherwise.
|
|
|
|
To get a list of possible languages for a given file, you can use the plural version of the detecting functions.
|
|
|
|
```go
|
|
langs := enry.GetLanguages("foo.h", "<cpp-code>")
|
|
// result: []string{"C++", "C"}
|
|
|
|
langs := enry.GetLanguagesByExtension("foo.asc", "<content>", nil)
|
|
// result: []string{"AGS Script", "AsciiDoc", "Public Key"}
|
|
|
|
langs := enry.GetLanguagesByFilename("Gemfile", "<content>", []string{})
|
|
// result: []string{"Ruby"}
|
|
```
|
|
|
|
|
|
CLI
|
|
-----------------
|
|
|
|
You can use enry as a command,
|
|
|
|
```bash
|
|
$ enry --help
|
|
enry, A simple (and faster) implementation of github/linguist
|
|
usage: enry <path>
|
|
enry <path> [--json] [--breakdown]
|
|
enry [--json] [--breakdown]
|
|
```
|
|
|
|
and it will return an output similar to *linguist*'s output,
|
|
|
|
```bash
|
|
$ enry
|
|
11.11% Gnuplot
|
|
22.22% Ruby
|
|
55.56% Shell
|
|
11.11% Go
|
|
```
|
|
|
|
but not only the output, also its flags are the same as *linguist*'s ones,
|
|
|
|
```bash
|
|
$ enry --breakdown
|
|
11.11% Gnuplot
|
|
22.22% Ruby
|
|
55.56% Shell
|
|
11.11% Go
|
|
|
|
Gnuplot
|
|
plot-histogram.gp
|
|
|
|
Ruby
|
|
linguist-samples.rb
|
|
linguist-total.rb
|
|
|
|
Shell
|
|
parse.sh
|
|
plot-histogram.sh
|
|
run-benchmark.sh
|
|
run-slow-benchmark.sh
|
|
run.sh
|
|
|
|
Go
|
|
parser/main.go
|
|
```
|
|
|
|
even the JSON flag,
|
|
|
|
```bash
|
|
$ enry --json
|
|
{"Gnuplot":["plot-histogram.gp"],"Go":["parser/main.go"],"Ruby":["linguist-samples.rb","linguist-total.rb"],"Shell":["parse.sh","plot-histogram.sh","run-benchmark.sh","run-slow-benchmark.sh","run.sh"]}
|
|
```
|
|
|
|
Note that even if enry's CLI is compatible with linguist's, its main point is that, contrary to linguist, **_enry doesn't need a git repository to work!_**
|
|
|
|
|
|
Development
|
|
-----------
|
|
|
|
*enry* re-uses parts of original [linguist](https://github.com/github/linguist) especially data in `languages.yml` to generate internal data structures. In oreder to update to latest upstream run
|
|
|
|
make clean code-generate
|
|
|
|
To run the tests
|
|
|
|
make test
|
|
|
|
|
|
Why Enry?
|
|
---------
|
|
|
|
In the movie [My Fair Lady](https://en.wikipedia.org/wiki/My_Fair_Lady), [Professor Henry Higgins](http://www.imdb.com/character/ch0011719/?ref_=tt_cl_t2) is one of the main characters. Henry is a linguist and at the very beginning of the movie enjoys guessing the nationality of people based on their accent.
|
|
|
|
`Enry Iggins` is how [Eliza Doolittle](http://www.imdb.com/character/ch0011720/?ref_=tt_cl_t1), [pronounces](https://www.youtube.com/watch?v=pwNKyTktDIE) the name of the Professor during the first half of the movie.
|
|
|
|
|
|
License
|
|
-------
|
|
|
|
MIT, see [LICENSE](LICENSE)
|