81 lines
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3.3 KiB
Markdown
81 lines
No EOL
3.3 KiB
Markdown
# Angel3 Body Parser
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[](https://pub.dartlang.org/packages/angel3_body_parser)
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[](https://dart.dev/null-safety)
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[](https://gitter.im/angel_dart/discussion)
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[](https://github.com/dukefirehawk/angel/tree/angel3/packages/body_parser/LICENSE)
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**Forked from `body_parser` to support NNBD**
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Parse request bodies and query strings in Dart, as well multipart/form-data uploads. No external dependencies required.
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This is the request body parser powering the [Angel3](https://github.com/dukefirehawk/angel) framework. If you are looking for a server-side solution with dependency injection, WebSockets, and more, then I highly recommend it as your first choice. Bam!
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### Contents
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* [Body Parser](#body-parser)
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* [About](#about)
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* [Installation](#installation)
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* [Usage](#usage)
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* [Thanks](#thank-you-for-using-body-parser)
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# About
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I needed something like Express.js's `body-parser` module, so I made it here. It fully supports JSON requests.
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x-www-form-urlencoded fully supported, as well as query strings. You can also include arrays in your query,
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in the same way you would for a PHP application. Full file upload support will also be present by the production 1.0.0 release.
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A benefit of this is that primitive types are automatically deserialized correctly. As in, if you have a `hello=1.5` request, then
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`body['hello']` will equal `1.5` and not `'1.5'`. A very semantic difference, yes, but it relieves stress in my head.
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# Installation
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To install Body Parser for your Dart project, simply add body_parser to your
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pub dependencies.
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dependencies:
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angel3_body_parser: ^2.0.0
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# Usage
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Body Parser exposes a simple class called `BodyParseResult`.
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You can easily parse the query string and request body for a request by calling `Future<BodyParseResult> parseBody`.
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```dart
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import 'dart:convert';
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import 'package:angel3_body_parser/angel3_body_parser.dart';
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main() async {
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// ...
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await for (HttpRequest request in server) {
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request.response.write(JSON.encode(await parseBody(request).body));
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await request.response.close();
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}
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}
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```
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You can also use `buildMapFromUri(Map, String)` to populate a map from a URL encoded string.
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This can easily be used with a library like [Angel3 JSON God](https://pub.dev/packages/angel3_json_god) to build structured JSON/REST APIs. Add validation and you've got an instant backend.
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```dart
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MyClass create(HttpRequest request) async {
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return god.deserialize(await parseBody(request).body, MyClass);
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}
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```
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## Custom Body Parsing
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In cases where you need to parse unrecognized content types, `body_parser` won't be of any help to you
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on its own. However, you can use the `originalBuffer` property of a `BodyParseResult` to see the original
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request buffer. To get this functionality, pass `storeOriginalBuffer` as `true` when calling `parseBody`.
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For example, if you wanted to [parse GraphQL queries within your server](https://github.com/dukefirehawk/graphql_dart)...
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```dart
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app.get('/graphql', (req, res) async {
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if (req.headers.contentType.mimeType == 'application/graphql') {
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var graphQlString = String.fromCharCodes(req.originalBuffer);
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// ...
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}
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});
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``` |