Andrew Brogdon
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3 years ago | |
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multiple_flutters_android | 3 years ago | |
multiple_flutters_ios | 3 years ago | |
multiple_flutters_module | 3 years ago | |
README.md | 3 years ago |
README.md
multiple_flutters
This is a sample that shows how to use the Flutter Engine Groups API to embed multiple instances of Flutter into an existing Android or iOS project.
Getting Started
For iOS instructions, see: multiple_flutters_ios.
For Android instructions, see: multiple_flutters_android.
Requirements
- Flutter -- after Flutter v2
- Android
- Android Studio
- iOS
- Xcode
- Cocoapods
Flutter Engine Group
These examples use the Flutter Engine Group APIs on the host platform which allows engines to share memory and CPU intensive resources. This leads to easier embedding of Flutter into an existing app since multiple entrypoints can be maintained via a FlutterFragment on Android or a UIViewController on iOS. Before FlutterEngineGroup, users had to juggle the usage of a small number of engines judiciously.
More info on those API's can be found in the source code:
- iOS - FlutterEngineGroup.h
- Android - FlutterEngineGroup.java
Important Files
iOS
- DataModel.swift — Observable data model that is the source of truth for the host platform and Flutter.
- HostViewController.swift — A UIViewController that synchronizes to the DataModel.
- main.dart — The Flutter source code.
- SingleFlutterViewController.swift — A subclass of FlutterViewController that synchronizes with the DataModel.
- DoubleFlutterViewController.swift — A UIViewController that embeds multiple Flutter instances.
Android
Data Synchronization Description
This sample code performs data synchronization to share data between the host platform and multiple instances of Flutter by combining the Observer design pattern and Flutter platform channels. Here is how it works:
- The definitive source of truth for the data lives in the host platform data model.
- Every host view displaying Flutter content maintains: a Flutter engine, a bidirectional platform channel, and a subscription to the host data model.
- Flutter instances maintain a copy of the data they are interested in reading, and this data is seeded by the host when the instance is first displayed.
- Mutations from Flutter code are sent to the host platform via the channel. The host platform performs the mutations, and then notifies all host view controllers and Flutter engines of the new value.
- Mutations from host code happen directly on the data model who notifies host view controllers and Flutter engines of the new value.
This is just one possible way to synchronize the data between the host platform and multiple Flutter instances. A more complete implementation is proposed in the work of flutter/issues/72030.