FTFS is a Flutter package which uses a TextField Widget to search and select a value from a list. It's a simple, lightweight, and fully tested package unlike other "autocomplete" or textfield search packages. View complete code coverage results in JSON format here.
To use this package, add flutter_textfield_search as a dependency in your pubsec.yaml file.
Import the package.
`import 'package:flutter_textfield_search/textfield_search.dart'`;
Then include the widget anywhere you would normally use a TextField widget with a String for label, a List for initialList, and a TextEditingController for controller.
Example MaterialApp using TextFieldSearch Widget
const label = "Some Label";
const dummyList = ['Item 1', 'Item 2', 'Item 3', 'Item 4', 'Item 5'];
TextEditingController myController = TextEditingController();
MaterialApp(
home: Scaffold(
body: TextFieldSearch(initialList: dummyList, label: label, controller: myController)
),
)
To get the value of the selected option, use addListener on the controller to listen for changes:
@override
void dispose() {
// Clean up the controller when the widget is removed from the
// widget tree.
myController.dispose();
super.dispose();
}
@override
void initState() {
super.initState();
// Start listening to changes.
myController.addListener(_printLatestValue);
}
_printLatestValue() {
print("Textfield value: ${myController.text}");
}
Selecting a List item from a Future List:
TextEditingController myController = TextEditingController();
// create a Future that returns List
Future<List> fetchData() async {
await Future.delayed(Duration(milliseconds: 5000));
List _list = new List();
String _inputText = myController.text;
// create a list from the text input of three items
// to mock a list of items from an http call
_list.add(_inputText + ' Item 1');
_list.add(_inputText + ' Item 2');
_list.add(_inputText + ' Item 3');
return _list;
}
@override
void dispose() {
// Clean up the controller when the widget is removed from the
// widget tree.
myController.dispose();
super.dispose();
}
// used within a MaterialApp (code shortened)
MaterialApp(
home: Scaffold(
body: TextFieldSearch(
label: 'My Label',
controller: myController
future: () {
return fetchData();
}
)
),
)
Selecting an object from a Future List:
TextEditingController myController = TextEditingController();
// create a Future that returns List
// IMPORTANT: The list that gets returned from fetchData must have objects that have a label property.
// The label property is what is used to populate the TextField while getSelectedValue returns the actual object selected
Future<List> fetchData() async {
await Future.delayed(Duration(milliseconds: 3000));
List _list = new List();
String _inputText = myController.text;
List _jsonList = [
{
'label': _inputText + ' Item 1',
'value': 30
},
{
'label': _inputText + ' Item 2',
'value': 31
},
{
'label': _inputText + ' Item 3',
'value': 32
},
];
// create a list of 3 objects from a fake json response
_list.add(new TestItem.fromJson(_jsonList[0]));
_list.add(new TestItem.fromJson(_jsonList[1]));
_list.add(new TestItem.fromJson(_jsonList[2]));
return _list;
}
@override
void dispose() {
// Clean up the controller when the widget is removed from the
// widget tree.
myController.dispose();
super.dispose();
}
// used within a MaterialApp (code shortened)
MaterialApp(
home: Scaffold(
body: TextFieldSearch(
label: 'My Label',
controller: myController
future: () {
return fetchData();
},
getSelectedValue: (value) {
print(value); // this prints the selected option which could be an object
}
)
),
)
// Mock Test Item Class
class TestItem {
String label;
dynamic value;
TestItem({
this.label,
this.value
});
factory TestItem.fromJson(Map<String, dynamic> json) {
return TestItem(
label: json['label'],
value: json['value']
);
}
}
Please email any issues, bugs, or additional features you would like to see built to [email protected].
If you wish to contribute to this package you may fork the repository and make a pull request to this repository.
Note: Testing by running flutter test --coverage
will generate coverage/lcov.info
. Running bash test-coverage.sh
will parse the lcov.info
file into JSON format. This happens automatically within the CI/CD pipeline on a pull request to master but it is always good to test locally.