mirror of
https://github.com/ralsina/tartrazine.git
synced 2024-11-13 23:12:24 +00:00
315 lines
14 KiB
Markdown
315 lines
14 KiB
Markdown
# go-enry [](https://pkg.go.dev/github.com/go-enry/go-enry/v2) [](https://github.com/go-enry/go-enry/actions?query=workflow%3ATest+branch%3Amaster) [](https://codecov.io/gh/go-enry/go-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)
|
|
- [Use cases](#use-cases)
|
|
- [By filename](#by-filename)
|
|
- [By text](#by-text)
|
|
- [By file](#by-file)
|
|
- [Filtering](#filtering-vendoring-binaries-etc)
|
|
- [Coloring](#language-colors-and-groups)
|
|
- [Languages](#languages)
|
|
- [Go](#go)
|
|
- [Java bindings](#java-bindings)
|
|
- [Python bindings](#python-bindings)
|
|
- [Rust bindings](#rust-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 CLI binary is hosted in a separate repository [go-enry/enry](https://github.com/go-enry/enry).
|
|
|
|
# Library
|
|
|
|
_enry_ is also a Go library for guessing a programming language that exposes API through FFI to multiple programming environments.
|
|
|
|
## Use cases
|
|
|
|
_enry_ guesses a programming language using a sequence of matching _strategies_ that are
|
|
applied progressively to narrow down the possible options. Each _strategy_ varies on the type
|
|
of input data that it needs to make a decision: file name, extension, the first line of the file, the full content of the file, etc.
|
|
|
|
Depending on available input data, enry API can be roughly divided into the next categories or use cases.
|
|
|
|
### By filename
|
|
|
|
Next functions require only a name of the file to make a guess:
|
|
|
|
- `GetLanguageByExtension` uses only file extension (wich may be ambiguous)
|
|
- `GetLanguageByFilename` useful for cases like `.gitignore`, `.bashrc`, etc
|
|
- all [filtering helpers](#filtering)
|
|
|
|
Please note that such guesses are expected not to be very accurate.
|
|
|
|
### By text
|
|
|
|
To make a guess only based on the content of the file or a text snippet, use
|
|
|
|
- `GetLanguageByShebang` reads only the first line of text to identify the [shebang](<https://en.wikipedia.org/wiki/Shebang_(Unix)>).
|
|
- `GetLanguageByModeline` for cases when Vim/Emacs modeline e.g. `/* vim: set ft=cpp: */` may be present at a head or a tail of the text.
|
|
- `GetLanguageByClassifier` uses a Bayesian classifier trained on all the `./samples/` from Linguist.
|
|
|
|
It usually is a last-resort strategy that is used to disambiguate the guess of the previous strategies, and thus it requires a list of "candidate" guesses. One can provide a list of all known languages - keys from the `data.LanguagesLogProbabilities` as possible candidates if more intelligent hypotheses are not available, at the price of possibly suboptimal accuracy.
|
|
|
|
### By file
|
|
|
|
The most accurate guess would be one when both, the file name and the content are available:
|
|
|
|
- `GetLanguagesByContent` only uses file extension and a set of regexp-based content heuristics.
|
|
- `GetLanguages` uses the full set of matching strategies and is expected to be most accurate.
|
|
|
|
### Filtering: vendoring, binaries, etc
|
|
|
|
_enry_ expose a set of file-level helpers `Is*` to simplify filtering out the files that are less interesting for the purpose of source code analysis:
|
|
|
|
- `IsBinary`
|
|
- `IsVendor`
|
|
- `IsConfiguration`
|
|
- `IsDocumentation`
|
|
- `IsDotFile`
|
|
- `IsImage`
|
|
- `IsTest`
|
|
- `IsGenerated`
|
|
|
|
### Language colors and groups
|
|
|
|
_enry_ exposes function to get language color to use for example in presenting statistics in graphs:
|
|
|
|
- `GetColor`
|
|
- `GetLanguageGroup` can be used to group similar languages together e.g. for `Less` this function will return `CSS`
|
|
|
|
## Languages
|
|
|
|
### Go
|
|
|
|
In a [Go module](https://github.com/golang/go/wiki/Modules),
|
|
import `enry` to the module by running:
|
|
|
|
```sh
|
|
go get github.com/go-enry/go-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/go-enry/go-enry/v2"
|
|
|
|
lang, safe := enry.GetLanguageByExtension("foo.go")
|
|
fmt.Println(lang, safe)
|
|
// result: Go true
|
|
|
|
lang, safe := enry.GetLanguageByContent("foo.m", []byte("<matlab-code>"))
|
|
fmt.Println(lang, safe)
|
|
// result: Matlab true
|
|
|
|
lang, safe := enry.GetLanguageByContent("bar.m", []byte("<objective-c-code>"))
|
|
fmt.Println(lang, safe)
|
|
// result: Objective-C true
|
|
|
|
// all strategies together
|
|
lang := enry.GetLanguage("foo.cpp", []byte("<cpp-code>"))
|
|
// result: C++ true
|
|
```
|
|
|
|
Note that the returned boolean value `safe` is `true` if there is only one possible language detected.
|
|
|
|
A plural version of the same API allows getting a list of all possible languages for a given file.
|
|
|
|
```go
|
|
langs := enry.GetLanguages("foo.h", []byte("<cpp-code>"))
|
|
// result: []string{"C", "C++", "Objective-C}
|
|
|
|
langs := enry.GetLanguagesByExtension("foo.asc", []byte("<content>"), nil)
|
|
// result: []string{"AGS Script", "AsciiDoc", "Public Key"}
|
|
|
|
langs := enry.GetLanguagesByFilename("Gemfile", []byte("<content>"), []string{})
|
|
// result: []string{"Ruby"}
|
|
```
|
|
|
|
### Java bindings
|
|
|
|
Generated Java bindings using a C shared library and JNI are available under [`java`](https://github.com/go-enry/go-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).
|
|
|
|
### Rust bindings
|
|
|
|
Generated Rust bindings using a C static library are available at https://github.com/go-enry/rs-enry.
|
|
|
|
|
|
## Divergences from Linguist
|
|
|
|
The `enry` library is based on the data from `github/linguist` version **v7.18.0**.
|
|
|
|
Parsing [linguist/samples](https://github.com/github/linguist/tree/master/samples) the following `enry` results are different from the Linguist:
|
|
|
|
- [Heuristics for ".txt" extension](https://github.com/github/linguist/blob/8083cb5a89cee2d99f5a988f165994d0243f0d1e/lib/linguist/heuristics.yml#L521) in Vim Help File could not be parsed, due to unsupported negative lookahead in RE2 regexp engine.
|
|
|
|
- [Heuristics for ".sol" extension](https://github.com/github/linguist/blob/8083cb5a89cee2d99f5a988f165994d0243f0d1e/lib/linguist/heuristics.yml#L464) in Solidity could not be parsed, due to unsupported negative lookahead in RE2 regexp engine.
|
|
|
|
- [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.
|
|
|
|
- [Heuristics for ".inc" extension](https://github.com/github/linguist/blob/f0e2d0d7f1ce600b2a5acccaef6b149c87d8b99c/lib/linguist/heuristics.yml#L222) in NASL could not be parsed, due to unsupported possessive quantifier in RE2 regexp engine.
|
|
|
|
- [Heuristics for ".as" extension](https://github.com/github/linguist/blob/223c00bb80eff04788e29010f98c5778993d2b2a/lib/linguist/heuristics.yml#L67) in ActionScript could not be parsed, due to unsupported positive 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).
|
|
|
|
- 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:
|
|
|
|
|
|
|
|
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 run the tests use:
|
|
|
|
go test ./...
|
|
|
|
Setting `ENRY_TEST_REPO` to the path to existing checkout of Linguist will avoid cloning it and sepeed tests up.
|
|
Setting `ENRY_DEBUG=1` will provide insight in the Bayesian classifier building done by `make code-generate`.
|
|
|
|
### 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 <release-tag>; cd ..
|
|
|
|
# put the new release's commit sha in the generator_test.go (to re-generate .gold test fixtures)
|
|
# https://github.com/go-enry/go-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/go-enry/go-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
|
|
|
|
<details>
|
|
<summary>Running a benchmark & faster regexp engine</summary>
|
|
|
|
### Benchmark
|
|
|
|
All benchmark scripts are in [_benchmarks_](https://github.com/go-enry/go-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
|
|
|
|
make benchmarks
|
|
|
|
to get average times for the primary detection function and strategies for the whole samples set. If you want to see measures per sample file use:
|
|
|
|
make benchmarks-samples
|
|
|
|
#### 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.
|
|
|
|
</details>
|
|
|
|
## License
|
|
|
|
Apache License, Version 2.0. See [LICENSE](LICENSE)
|