flutter-handling-http-and-json

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排名: #1240

安装

npx skills add https://github.com/flutter/skills --skill flutter-handling-http-and-json

Handling HTTP and JSON Contents Core Guidelines Workflow: Executing HTTP Operations Workflow: Implementing JSON Serialization Workflow: Parsing Large JSON in the Background Examples Core Guidelines Enforce HTTPS: iOS and Android disable cleartext (HTTP) connections by default. Always use HTTPS endpoints. If HTTP is strictly required for debugging, configure network_security_config.xml (Android) and NSAppTransportSecurity (iOS). Construct URIs Safely: Always use Uri.https(authority, unencodedPath, [queryParameters]) to safely build URLs. This handles encoding and formatting reliably, preventing string concatenation errors. Handle Status Codes: Always validate the http.Response.statusCode . Treat 200 (OK) and 201 (Created) as success. Throw explicit exceptions for other codes (do not return null ). Prevent UI Jank: Move expensive JSON parsing operations (taking >16ms) to a background isolate using the compute() function. Structured AI Output: When integrating LLMs, enforce reliable JSON output by specifying a strict JSON schema in the system prompt and setting the response MIME type to application/json . Workflow: Executing HTTP Operations Use this workflow to implement network requests using the http package. Task Progress: Add the http package to pubspec.yaml . Configure platform permissions (Internet permission in AndroidManifest.xml and macOS .entitlements ). Construct the target Uri . Execute the HTTP method. Validate the response and parse the JSON payload. Conditional Implementation: If fetching data (GET): Use http.get(uri) . If sending new data (POST): Use http.post(uri, headers: {...}, body: jsonEncode(data)) . Ensure Content-Type is application/json; charset=UTF-8 . If updating data (PUT): Use http.put(uri, headers: {...}, body: jsonEncode(data)) . If deleting data (DELETE): Use http.delete(uri, headers: {...}) . Feedback Loop: Validation & Error Handling Run the HTTP request. Check response.statusCode . If 200 or 201 , call jsonDecode(response.body) and map to a Dart object. If any other code, throw an Exception('Failed to load/update/delete resource') . Review errors -> fix endpoint, headers, or payload structure. Workflow: Implementing JSON Serialization Choose the serialization strategy based on project complexity. Conditional Implementation: If building a small prototype or simple models: Use manual serialization with dart:convert . If building a production app with complex/nested models: Use code generation with json_serializable . Manual Serialization Setup Task Progress: Import dart:convert . Define the Model class with final properties. Implement a factory Model.fromJson(Map json) constructor. Implement a Map toJson() method. Code Generation Setup ( json_serializable ) Task Progress: Add dependencies: flutter pub add json_annotation and flutter pub add -d build_runner json_serializable . Import json_annotation.dart in the model file. Add the part 'model_name.g.dart'; directive. Annotate the class with @JsonSerializable() . Use explicitToJson: true if the class contains nested models. Define the fromJson factory and toJson method delegating to the generated functions. Run the generator: dart run build_runner build --delete-conflicting-outputs . Workflow: Parsing Large JSON in the Background Use this workflow to prevent frame drops when parsing large JSON payloads (e.g., lists of 1000+ items). Task Progress: Create a top-level or static function that takes a String (the response body) and returns the parsed Dart object (e.g., List ). Inside the function, call jsonDecode and map the results to the Model class. In the HTTP fetch method, pass the top-level parsing function and the response.body to Flutter's compute() function. Examples Example 1: HTTP GET with Manual Serialization import 'dart:convert' ; import 'package:http/http.dart' as http ; class Album { final int id ; final String title ; const Album ( { required this . id , required this . title } ) ; factory Album . fromJson ( Map < String , dynamic

json ) { return Album ( id : json [ 'id' ] as int , title : json [ 'title' ] as String , ) ; } } Future < Album

fetchAlbum ( ) async { final uri = Uri . https ( 'jsonplaceholder.typicode.com' , '/albums/1' ) ; final response = await http . get ( uri ) ; if ( response . statusCode == 200 ) { return Album . fromJson ( jsonDecode ( response . body ) as Map < String , dynamic

) ; } else { throw Exception ( 'Failed to load album' ) ; } } Example 2: HTTP POST Request Future < Album

createAlbum ( String title ) async { final uri = Uri . https ( 'jsonplaceholder.typicode.com' , '/albums' ) ; final response = await http . post ( uri , headers : < String , String

{ 'Content-Type' : 'application/json; charset=UTF-8' , } , body : jsonEncode ( < String , String

{ 'title' : title } ) , ) ; if ( response . statusCode == 201 ) { return Album . fromJson ( jsonDecode ( response . body ) as Map < String , dynamic

) ; } else { throw Exception ( 'Failed to create album.' ) ; } } Example 3: Background Parsing with compute import 'dart:convert' ; import 'package:flutter/foundation.dart' ; import 'package:http/http.dart' as http ; // 1. Top-level function for parsing List < Photo

parsePhotos ( String responseBody ) { final parsed = ( jsonDecode ( responseBody ) as List < Object ?

) . cast < Map < String , Object ?

( ) ; return parsed . map < Photo

( Photo . fromJson ) . toList ( ) ; } // 2. Fetch function using compute Future < List < Photo

fetchPhotos ( http . Client client ) async { final uri = Uri . https ( 'jsonplaceholder.typicode.com' , '/photos' ) ; final response = await client . get ( uri ) ; if ( response . statusCode == 200 ) { // Run parsePhotos in a separate isolate return compute ( parsePhotos , response . body ) ; } else { throw Exception ( 'Failed to load photos' ) ; } } Example 4: Code Generation ( json_serializable ) import 'package:json_annotation/json_annotation.dart' ; part 'user.g.dart' ; @JsonSerializable ( explicitToJson : true ) class User { final String name ; @JsonKey ( name : 'registration_date_millis' ) final int registrationDateMillis ; User ( this . name , this . registrationDateMillis ) ; factory User . fromJson ( Map < String , dynamic

json ) =

_$ UserFromJson ( json ) ; Map < String , dynamic

toJson ( ) =

_$ UserToJson ( this ) ; }

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