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https://github.com/src-d/enry

A faster file programming language detector
https://github.com/src-d/enry

cli golang java language-detection linguist

Last synced: 11 days ago
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A faster file programming language detector

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README 

        
## WE CONTINUE THE DEVELOPMENT AT [go-enry/go-enry](https://github.com/go-enry/go-enry). This repository is abandoned, and no further updates will be done on the code base, nor issue/prs will be answered or attended.



# enry [![GoDoc](https://godoc.org/github.com/src-d/enry?status.svg)](https://godoc.org/github.com/src-d/enry) [![Build Status](https://travis-ci.com/src-d/enry.svg?branch=master)](https://travis-ci.com/src-d/enry) [![codecov](https://codecov.io/gh/src-d/enry/branch/master/graph/badge.svg)](https://codecov.io/gh/src-d/enry)



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 *2x performance*.



* [CLI](#cli)

* [Library](#library)

    * [Go](#go)

    * [Java bindings](#java-bindings)

    * [Python bindings](#python-bindings)

* [Divergences from linguist](#divergences-from-linguist)

* [Benchmarks](#benchmarks)

* [Why Enry?](#why-enry)

* [Development](#development)

    * [Sync with github/linguist upstream](#sync-with-githublinguist-upstream)

* [Misc](#misc)

* [License](#license)



# CLI



The recommended way to install the `enry` command-line tool is to either

[download a release](https://github.com/src-d/enry/releases) or run:



```

(cd "$(mktemp -d)" && go mod init enry && go get github.com/src-d/enry/v2/cmd/enry)

```



*enry* CLI accepts similar flags (`--breakdown/--json`) and produce an output, similar to *linguist*:



```bash

$ enry

97.71%	Go

1.60%	C

0.31%	Shell

0.22%	Java

0.07%	Ruby

0.05%	Makefile

0.04%	Scala

0.01%	Gnuplot

```



Note that enry's CLI **_does not need an actual git repository to work_**, which is an intentional difference from linguist.



# Library



*enry* is also available as a native Go library with FFI bindings for multiple programming languages.



## Go



In a [Go module](https://github.com/golang/go/wiki/Modules),

import `enry` to the module by running:



```go

go get github.com/src-d/enry/v2

```



The rest of the examples will assume you have either done this or fetched the

library into your `GOPATH`.



```go

// The examples here and below assume you have imported the library.

import "github.com/src-d/enry/v2"



lang, safe := enry.GetLanguageByExtension("foo.go")

fmt.Println(lang, safe)

// result: Go true



lang, safe := enry.GetLanguageByContent("foo.m", []byte(""))

fmt.Println(lang, safe)

// result: Matlab true



lang, safe := enry.GetLanguageByContent("bar.m", []byte(""))

fmt.Println(lang, safe)

// result: Objective-C true



// all strategies together

lang := enry.GetLanguage("foo.cpp", []byte(""))

// result: C++ true

```



Note that the returned boolean value `safe` is `true` if there is only one possible language detected.



To get a list of all possible languages for a given file, there is a plural version of the same API.



```go

langs := enry.GetLanguages("foo.h",  []byte(""))

// result: []string{"C", "C++", "Objective-C}



langs := enry.GetLanguagesByExtension("foo.asc", []byte(""), nil)

// result: []string{"AGS Script", "AsciiDoc", "Public Key"}



langs := enry.GetLanguagesByFilename("Gemfile", []byte(""), []string{})

// result: []string{"Ruby"}

```



## Java bindings



Generated Java bindings using a C shared library and JNI are available under [`java`](https://github.com/src-d/enry/blob/master/java).



A library is published on Maven as [tech.sourced:enry-java](https://mvnrepository.com/artifact/tech.sourced/enry-java) for macOS and linux platforms. Windows support is planned under [src-d/enry#150](https://github.com/src-d/enry/issues/150).



# Python bindings



Generated Python bindings using a C shared library and cffi are WIP under [src-d/enry#154](https://github.com/src-d/enry/issues/154).



A library is going to be published on pypi as [enry](https://pypi.org/project/enry/) for

macOS and linux platforms. Windows support is planned under [src-d/enry#150](https://github.com/src-d/enry/issues/150).



Divergences from linguist

------------



The `enry` library is based on the data from `github/linguist` version **v7.5.1**.



As opposed to linguist, `enry` [CLI tool](#cli) does *not* require a full Git repository in the filesystem in order to report languages.



Parsing [linguist/samples](https://github.com/github/linguist/tree/master/samples) the following `enry` results are different from linguist:



* [Heuristics for ".es" extension](https://github.com/github/linguist/blob/e761f9b013e5b61161481fcb898b59721ee40e3d/lib/linguist/heuristics.yml#L103) in JavaScript could not be parsed, due to unsupported backreference in RE2 regexp engine.



* [Heuristics for ".rno" extension](https://github.com/github/linguist/blob/3a1bd3c3d3e741a8aaec4704f782e06f5cd2a00d/lib/linguist/heuristics.yml#L365) in RUNOFF could not be parsed, due to unsupported lookahead in RE2 regexp engine.



* As of [Linguist v5.3.2](https://github.com/github/linguist/releases/tag/v5.3.2) it is using [flex-based scanner in C for tokenization](https://github.com/github/linguist/pull/3846). Enry still uses [extract_token](https://github.com/github/linguist/pull/3846/files#diff-d5179df0b71620e3fac4535cd1368d15L60) regex-based algorithm. See [#193](https://github.com/src-d/enry/issues/193).



* Bayesian classifier can't distinguish "SQL" from "PLpgSQL. See [#194](https://github.com/src-d/enry/issues/194).



* Detection of [generated files](https://github.com/github/linguist/blob/bf95666fc15e49d556f2def4d0a85338423c25f3/lib/linguist/generated.rb#L53) is not supported yet.

 (Thus they are not excluded from CLI output). See [#213](https://github.com/src-d/enry/issues/213).



* XML detection strategy is not implemented. See [#192](https://github.com/src-d/enry/issues/192).



* Overriding languages and types though `.gitattributes` is not yet supported. See [#18](https://github.com/src-d/enry/issues/18).



* `enry` CLI output does NOT exclude `.gitignore`ed files and git submodules, as linguist does



In all the cases above that have an issue number - we plan to update enry to match Linguist behavior.



Benchmarks

------------



Enry's language detection has been compared with Linguist's on [*linguist/samples*](https://github.com/github/linguist/tree/master/samples).



We got these results:



![histogram](benchmarks/histogram/distribution.png)



The histogram shows the _number of files_ (y-axis) per _time interval bucket_ (x-axis).

Most of the files were detected faster by enry.



There are several cases where enry is slower than linguist due to

Go regexp engine being slower than Ruby's on, wich is based on [oniguruma](https://github.com/kkos/oniguruma) library, written in C.



See [instructions](#misc) for running enry with oniguruma.



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/) is a linguist who at the very beginning of the movie enjoys guessing the origin of people based on their accent.



"Enry Iggins" is how [Eliza Doolittle](http://www.imdb.com/character/ch0011720/), [pronounces](https://www.youtube.com/watch?v=pwNKyTktDIE) the name of the Professor.



## Development



To build enry's CLI run:



    make build



this will generate a binary in the project's root directory called `enry`.



To run the tests use:



    make test



### Sync with github/linguist upstream



*enry* re-uses parts of the original [github/linguist](https://github.com/github/linguist) to generate internal data structures.

In order to update to the latest release of linguist do:



```bash

$ git clone https://github.com/github/linguist.git .linguist

$ cd .linguist; git checkout ; cd ..



# put the new release's commit sha in the generator_test.go (to re-generate .gold test fixtures)

# https://github.com/src-d/enry/blob/13d3d66d37a87f23a013246a1b0678c9ee3d524b/internal/code-generator/generator/generator_test.go#L18



$ make code-generate

```



To stay in sync, enry needs to be updated when a new release of the linguist includes changes to any of the following files:



* [languages.yml](https://github.com/github/linguist/blob/master/lib/linguist/languages.yml)

* [heuristics.yml](https://github.com/github/linguist/blob/master/lib/linguist/heuristics.yml)

* [vendor.yml](https://github.com/github/linguist/blob/master/lib/linguist/vendor.yml)

* [documentation.yml](https://github.com/github/linguist/blob/master/lib/linguist/documentation.yml)



There is no automation for detecting the changes in the linguist project, so this process above has to be done manually from time to time.



When submitting a pull request syncing up to a new release, please make sure it only contains the changes in

the generated files (in [data](https://github.com/src-d/enry/blob/master/data) subdirectory).



Separating all the necessary "manual" code changes to a different PR that includes some background description and an update to the documentation on ["divergences from linguist"](##divergences-from-linguist) is very much appreciated as it simplifies the maintenance (review/release notes/etc).



## Misc



  Running a benchmark & faster regexp engine



### Benchmark



All benchmark scripts are in [*benchmarks*](https://github.com/src-d/enry/blob/master/benchmarks) directory.



#### Dependencies

As benchmarks depend on Ruby and Github-Linguist gem make sure you have:

 - Ruby (e.g using [`rbenv`](https://github.com/rbenv/rbenv)), [`bundler`](https://bundler.io/) installed

 - Docker

 - [native dependencies](https://github.com/github/linguist/#dependencies) installed

 - Build the gem `cd .linguist && bundle install && rake build_gem && cd -`

 - Install it `gem install --no-rdoc --no-ri --local .linguist/github-linguist-*.gem`



#### Quick benchmark

To run quicker benchmarks you can either:



    make benchmarks



to get average times for the main detection function and strategies for the whole samples set or:



    make benchmarks-samples



if you want to see measures per sample file.



#### Full benchmark

If you want to reproduce the same benchmarks as reported above:

 - Make sure all [dependencies](#benchmark-dependencies) are installed

 - Install [gnuplot](http://gnuplot.info) (in order to plot the histogram)

 - Run `ENRY_TEST_REPO="$PWD/.linguist" benchmarks/run.sh` (takes ~15h)



It will run the benchmarks for enry and linguist, parse the output, create csv files and plot the histogram.



### Faster regexp engine (optional)



[Oniguruma](https://github.com/kkos/oniguruma) is CRuby's regular expression engine.

It is very fast and performs better than the one built into Go runtime. *enry* supports swapping

between those two engines thanks to [rubex](https://github.com/moovweb/rubex) project.

The typical overall speedup from using Oniguruma is 1.5-2x. However, it requires CGo and the external shared library.

On macOS with [Homebrew](https://brew.sh/), it is:



```

brew install oniguruma

```



On Ubuntu, it is



```

sudo apt install libonig-dev

```



To build enry with Oniguruma regexps use the `oniguruma` build tag



```

go get -v -t --tags oniguruma ./...

```



and then rebuild the project.



License

------------



Apache License, Version 2.0. See [LICENSE](LICENSE)