Lightweight HTTP RFC-2616 Accept-Language parser in Swift.
ALanguageParser
is the swift porting of the npm accept-language-parser package by OpenTable. It parses the accept-language header from an HTTP request and produces an array of language objects sorted by quality.
It has been designed to be used with Swift Server Side in mind (e.g. Vapor, Kitura, Perfect) but it can be used in any client side project.
It returns the ordered list of accepted languages:
import ALanguageParser
let languages = ALanguageParser.parse("it-IT,zh-Hant-HK;q=0.5")
The result will be:
[
AcceptedLanguage(code: "it",
quality: 1.0,
region: "IT",
script: nil),
AcceptedLanguage(code: "zh",
quality: 0.5,
region: "HK",
script: "Hant")
]
Output is always sorted in quality order from highest -> lowest. As per the HTTP spec, omitting the quality value implies 1.0
.
Extracts the first selected language from the ones available in the given accept language string or nil
if not present.
let language = ALanguageParser.pick(["fr-CA", "fr-FR", "fr"],
acceptLanguage: "en-GB,en-US;q=0.9,fr-CA;q=0.7,en;q=0.8")
The output will be:
"fr-CA"
The function can be called with the loose
parameter that allows partial matching on supported languages. For example:
let language = ALanguageParser.pick(["fr-CA", "fr-FR", "fr"],
acceptLanguage: "en-GB,en-US;q=0.9,fr-CA;q=0.7,en;q=0.8",
loose: true)
The output will be:
"fr"
In loose mode the order of supportedLanguages
matters, as it is the first partially matching language that is returned. It means that if you want to pick more specific langauge first, you should list it first as well, for example: ["fr-CA", "fr"]
.
The library, currently being developed in Swift 5.7, can be integrated by adding the following entry to your dependencies array in the Package.swift
file:
.package(url: "https://github.com/matsoftware/accept-language-parser.git", from: "1.1.0")
Then in your target, please add the ALanguageParser
dependency:
.product(name: "ALanguageParser", package: "accept-language-parser")
Add the pod ALanguageParser
to your Podfile:
pod 'ALanguageParser'
Run pod install
and then open your workspace to launch Xcode.
Please open an issue on GitHub or fork the repository to make changes.
Before raising any PR, please make sure that the tests are passing on the Linux platform.
You can use Docker to download the Swift image and perform tests on your MacOS/Windows machine.
Once Docker and its CLI are installed, you can get the image from Docker Hub by running:
docker pull swift
Once the image has been download, from the root folder of your forked repository you can start the container in privileged mode and use a bind mount to let Docker access your folder:
docker run -it --privileged --mount type=bind,source=$(pwd),target=/app swift /bin/bash
Finally, you can run the tests:
root@c4706264baa1:/app$ swift test
Created by Mattia Campolese.
Please also check out swift code metrics, the code metrics analyzer for Swift projects.