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Description:

ptfgen 1.0.3

Code generator for Flutter apps
Installation:
Install using pip3:
Open Terminal and run:
$ brew install python

$ pip3 install ptfgen

Update:
$ pip3 install -U ptfgen

Uninstall:
$ pip3 uninstall ptfgen

1. Create Template:
1.1. Base Template:
The Base Template contains necessary files for a screen using the Flutter Clean Architecture pattern.
Open Terminal, navigate to your flutter project folder you want to save the files and run:
$ ptfgen template base <Scene_Name>

Example:
$ ptfgen template base LoginEmail

Output:
Successfully created files:
./lib/assembler.dart
./lib/scenes/login_email/login_email_viewmodel.dart
./lib/scenes/login_email/login_email_navigator.dart
./lib/scenes/login_email/login_email_usecase.dart
./lib/scenes/login_email/login_email_assembler.dart
./lib/scenes/login_email/login_email_view.dart
./lib/mock/login_email_usecase_mock.dart
./test/unit_test/login_email/login_email_viewmodel_test.dart
./test/unit_test/login_email/login_email_usecase_mock.dart
./test/unit_test/login_email/login_email_navigator_mock.dart

2. Create models from JSON:
Copy the json then run the command:
$ ptfgen json <Model_Name> [-p]

Options:
-p, --print: print the result.
Example:
Copy the json:
{
"employees":[
{"name":"Shyam", "email":"shyamjaiswal@gmail.com"},
{"name":"Bob", "email":"bob32@gmail.com"},
{"name":"Jai", "email":"jai87@gmail.com"}
]
}

then run:
$ ptfgen json Company

Output:
The result has been copied to the pasteboard.

Content in the pasteboard:
import 'package:pt_object_mapper/pt_object_mapper.dart';

/// Remember register to Mappable.factories
/// Mappable.factories[Employee] = () => Employee();

class Employee with Mappable {
String name;
String email;

@override
void mapping(Mapper map) {
map("name", name, (v) => name = v);
map("email", email, (v) => email = v);
}
}

/// Remember register to Mappable.factories
/// Mappable.factories[Company] = () => Company();

class Company with Mappable {
List<Employee> employees;

@override
void mapping(Mapper map) {
map<Employee>("employees", employees, (v) => employees = v);
}
}

3. Create a mock class for a protocol/function:
Copy the abstract/function then run:
$ ptfgen mock [-p]

Options:
-p, --print: print the result.
Example:
Copy the abstract:
abstract class SignUpEmailUseCaseType {
Stream<User> signUpWithEmail(String email, String password);
ValidationResult validateEmail(String email);
ValidationResult validatePassword(String password);
}

then run:
$ ptfgen mock

Output:
The result has been copied to the pasteboard.

Content in the pasteboard:
class SignUpEmailUseCaseMock implements SignUpEmailUseCaseType {

/// signUpWithEmail

var signUpWithEmail_Called = false;
var signUpWithEmail_ReturnValue = Stream<User>.value(null);

Stream<User> signUpWithEmail(String email, String password) {
signUpWithEmail_Called = true;
return signUpWithEmail_ReturnValue;
}

/// validateEmail

var validateEmail_Called = false;
var validateEmail_ReturnValue = ValidationResult.valid();

ValidationResult validateEmail(String email) {
validateEmail_Called = true;
return validateEmail_ReturnValue;
}

/// validatePassword

var validatePassword_Called = false;
var validatePassword_ReturnValue = ValidationResult.valid();

ValidationResult validatePassword(String password) {
validatePassword_Called = true;
return validatePassword_ReturnValue;
}
}