419 lines
15 KiB
Dart
419 lines
15 KiB
Dart
import 'dart:io';
|
||
import 'dart:convert';
|
||
import 'package:http/http.dart' as http;
|
||
import 'package:flutter/foundation.dart';
|
||
import 'device_service.dart';
|
||
import 'package:google_generative_ai/google_generative_ai.dart';
|
||
import '../secrets.dart';
|
||
import 'analysis_cache_service.dart';
|
||
|
||
|
||
class GeminiService {
|
||
// AI Proxy Server Configuration
|
||
static final String _proxyUrl = Secrets.aiProxyAnalyzeUrl;
|
||
|
||
// レート制限対策? Proxy側で管理されているが、念のためクライアント側でも連打防止
|
||
static DateTime? _lastApiCallTime;
|
||
static const Duration _minApiInterval = Duration(seconds: 2);
|
||
|
||
GeminiService();
|
||
|
||
/// 画像リストから日本酒ラベルを解析
|
||
Future<SakeAnalysisResult> analyzeSakeLabel(List<String> imagePaths, {bool forceRefresh = false}) async {
|
||
// Force use of client-side prompt to ensure Schema consistency (Phase 1 Fix)
|
||
const prompt = '''
|
||
あなたは日本酒の専門家（ソムリエ）です。
|
||
添付の画像（日本酒のラベル）を分析し、以下のJSON形式で情報を抽出してください。
|
||
|
||
{
|
||
"name": "銘柄名",
|
||
"brand": "蔵元名",
|
||
"prefecture": "都道府県名",
|
||
"type": "特定名称（純米大吟醸など）",
|
||
"description": "味や特徴の魅力的な説明文(100文字程度)",
|
||
"catchCopy": "短いキャッチコピー(20文字以内)",
|
||
"confidenceScore": 80,
|
||
"flavorTags": ["フルーティー", "辛口", "華やか"],
|
||
"tasteStats": {"aroma":3,"sweetness":3,"acidity":3,"bitterness":3,"body":3},
|
||
"alcoholContent": 15.0,
|
||
"polishingRatio": 50,
|
||
"sakeMeterValue": 3.0,
|
||
"riceVariety": "山田錦",
|
||
"yeast": "きょうかい9号",
|
||
"manufacturingYearMonth": "2023.10"
|
||
}
|
||
|
||
値が不明な場合は null または 適切な推測値を入れてください。特にtasteStatsは必ず1-5の数値で埋めてください。
|
||
''';
|
||
|
||
return _callProxyApi(
|
||
imagePaths: imagePaths,
|
||
customPrompt: prompt, // Override server default
|
||
forceRefresh: forceRefresh,
|
||
);
|
||
}
|
||
|
||
/// OCRテキストと画像のハイブリッド解析
|
||
Future<SakeAnalysisResult> analyzeSakeHybrid(String extractedText, List<String> imagePaths) async {
|
||
final prompt = '''
|
||
あなたは日本酒の専門家（ソムリエ）です。
|
||
|
||
以下のOCR抽出テキストは参考情報です（誤字・脱落あり）。
|
||
OCRテキストはあくまで補助的なヒントとして扱い、添付の画像を優先して全項目を必ず埋めてください。
|
||
|
||
OCRテキスト（参考のみ）:
|
||
"""
|
||
$extractedText
|
||
"""
|
||
|
||
添付の日本酒ラベル画像を分析し、以下のJSON形式で情報を抽出してください。
|
||
|
||
{
|
||
"name": "銘柄名",
|
||
"brand": "蔵元名",
|
||
"prefecture": "都道府県名",
|
||
"type": "特定名称（純米大吟醸など）",
|
||
"description": "味や特徴の魅力的な説明文(100文字程度)",
|
||
"catchCopy": "短いキャッチコピー(20文字以内)",
|
||
"confidenceScore": 80,
|
||
"flavorTags": ["フルーティー", "辛口", "華やか"],
|
||
"tasteStats": {"aroma":3,"sweetness":3,"acidity":3,"bitterness":3,"body":3},
|
||
"alcoholContent": 15.0,
|
||
"polishingRatio": 50,
|
||
"sakeMeterValue": 3.0,
|
||
"riceVariety": "山田錦",
|
||
"yeast": "きょうかい9号",
|
||
"manufacturingYearMonth": "2023.10"
|
||
}
|
||
|
||
★重要な指示:
|
||
- tasteStats（香り、甘味、酸味、苦味、ボディ）は必ず1-5の整数で埋めてください。不明な場合は3を設定してください。
|
||
- alcoholContent, polishingRatio, sakeMeterValue などの詳細項目も、画像から読み取れる場合は必ず設定してください。
|
||
- 値が不明な場合は null または 適切な推測値を入れてください。
|
||
''';
|
||
|
||
return _callProxyApi(imagePaths: imagePaths, customPrompt: prompt);
|
||
}
|
||
|
||
/// テキストのみの解析 (画像なし)
|
||
Future<SakeAnalysisResult> analyzeSakeText(String extractedText) async {
|
||
final prompt = '''
|
||
以下のOCRで抽出された日本酒ラベルのテキスト情報を分析してください。
|
||
誤字やノイズが含まれることが多いですが、文脈から積極的に正しい情報を推測・補完してください。
|
||
|
||
抽出テキスト:
|
||
"""
|
||
$extractedText
|
||
"""
|
||
|
||
以下の情報をJSON形式で返してください：
|
||
{
|
||
"name": "銘柄名",
|
||
"brand": "蔵元名",
|
||
"prefecture": "都道府県名",
|
||
"type": "特定名称",
|
||
"description": "特徴(100文字)",
|
||
"catchCopy": "キャッチコピー(20文字)",
|
||
"confidenceScore": 0-100,
|
||
"flavorTags": ["タグ"],
|
||
"tasteStats": {"aroma":3,"sweetness":3,"acidity":3,"bitterness":3,"body":3},
|
||
"alcoholContent": 15.5,
|
||
"polishingRatio": 50,
|
||
"sakeMeterValue": 3.0,
|
||
"riceVariety": "山田錦",
|
||
"yeast": "きょうかい9号",
|
||
"manufacturingYearMonth": "2023.10"
|
||
}
|
||
''';
|
||
|
||
return _callProxyApi(imagePaths: [], customPrompt: prompt);
|
||
}
|
||
|
||
/// 共通実装: ProxyへのAPIコール
|
||
Future<SakeAnalysisResult> _callProxyApi({
|
||
required List<String> imagePaths,
|
||
String? customPrompt,
|
||
bool forceRefresh = false,
|
||
}) async {
|
||
// Check Mode: Direct vs Proxy
|
||
if (!Secrets.useProxy) {
|
||
debugPrint('🚀 Direct Cloud Mode: Connecting to Gemini API directly...');
|
||
return _callDirectApi(imagePaths, customPrompt, forceRefresh: forceRefresh);
|
||
}
|
||
|
||
try {
|
||
// 1. レート制限 (クライアント側連打防止)
|
||
if (_lastApiCallTime != null) {
|
||
final elapsed = DateTime.now().difference(_lastApiCallTime!);
|
||
if (elapsed < _minApiInterval) {
|
||
await Future.delayed(_minApiInterval - elapsed);
|
||
}
|
||
}
|
||
_lastApiCallTime = DateTime.now();
|
||
|
||
// 2. 画像をBase64変換 (Phase 4: Images already compressed at capture)
|
||
List<String> base64Images = [];
|
||
for (final path in imagePaths) {
|
||
// Read already-compressed images directly (compressed at capture time)
|
||
final bytes = await File(path).readAsBytes();
|
||
final base64String = base64Encode(bytes);
|
||
base64Images.add(base64String);
|
||
debugPrint('Encoded processed image: ${(bytes.length / 1024).toStringAsFixed(1)}KB');
|
||
}
|
||
|
||
// 3. デバイスID取得
|
||
final deviceId = await DeviceService.getDeviceId();
|
||
debugPrint('Device ID: $deviceId');
|
||
|
||
// 4. リクエスト作成
|
||
final requestBody = jsonEncode({
|
||
"device_id": deviceId,
|
||
"images": base64Images,
|
||
"prompt": customPrompt,
|
||
});
|
||
|
||
debugPrint('Calling Proxy: $_proxyUrl');
|
||
|
||
// 5. 送信（Bearer Token認証付き）
|
||
final headers = {
|
||
"Content-Type": "application/json",
|
||
if (Secrets.proxyAuthToken.isNotEmpty)
|
||
"Authorization": "Bearer ${Secrets.proxyAuthToken}",
|
||
};
|
||
final response = await http.post(
|
||
Uri.parse(_proxyUrl),
|
||
headers: headers,
|
||
body: requestBody,
|
||
).timeout(const Duration(seconds: 60)); // 拡張: 60秒 (画像サイズ最適化済み)
|
||
|
||
// 6. レスポンス処理
|
||
if (response.statusCode == 200) {
|
||
// 成功時のレスポンス形式: { "success": true, "data": {...}, "usage": {...} }
|
||
final jsonResponse = jsonDecode(utf8.decode(response.bodyBytes));
|
||
|
||
if (jsonResponse['success'] == true) {
|
||
final data = jsonResponse['data'];
|
||
if (data == null) throw Exception("サーバーからのデータが空です");
|
||
|
||
// 使用状況ログ
|
||
if (jsonResponse['usage'] != null) {
|
||
final usage = jsonResponse['usage'];
|
||
debugPrint('API Usage: ${usage['today']}/${usage['limit']}');
|
||
}
|
||
|
||
final result = SakeAnalysisResult.fromJson(data);
|
||
|
||
// Phase 3 Validation: Check for Schema Compliance
|
||
if (result.tasteStats.isEmpty ||
|
||
result.tasteStats.values.every((v) => v == 0)) {
|
||
debugPrint('⚠️ WARNING: AI returned empty or zero taste stats. This item will not form a valid chart.');
|
||
} else {
|
||
// Simple check
|
||
final requiredKeys = ['aroma', 'sweetness', 'acidity', 'bitterness', 'body'];
|
||
final actualKeys = result.tasteStats.keys.toList();
|
||
final missing = requiredKeys.where((k) => !actualKeys.contains(k)).toList();
|
||
|
||
if (missing.isNotEmpty) {
|
||
debugPrint('⚠️ WARNING: AI response missing keys: $missing. Old schema?');
|
||
// We could throw here, but for now let's just log.
|
||
// In strict mode, we might want to fail the analysis to force retry.
|
||
}
|
||
}
|
||
|
||
return result;
|
||
} else {
|
||
// Proxy側での論理エラー (レート制限超過など)
|
||
throw Exception(jsonResponse['error'] ?? '不明なエラーが発生しました');
|
||
}
|
||
} else {
|
||
// HTTPエラー
|
||
debugPrint('Proxy Error: ${response.statusCode} ${response.body}');
|
||
throw Exception('サーバーエラー (${response.statusCode}): ${response.body}');
|
||
}
|
||
|
||
} catch (e) {
|
||
debugPrint('Proxy Call Failed: $e');
|
||
// エラーメッセージを整形
|
||
final errorMsg = e.toString().toLowerCase();
|
||
if (errorMsg.contains('limit') || errorMsg.contains('上限')) {
|
||
throw Exception('本日のAI解析リクエスト上限に達しました。\n明日またお試しください。');
|
||
}
|
||
rethrow;
|
||
}
|
||
}
|
||
|
||
/// Direct Cloud API Implementation (No Proxy)
|
||
Future<SakeAnalysisResult> _callDirectApi(List<String> imagePaths, String? customPrompt, {bool forceRefresh = false}) async {
|
||
// 1. キャッシュチェック（同じ画像なら即座に返す）
|
||
// forceRefresh=trueの場合はキャッシュをスキップ
|
||
if (!forceRefresh && imagePaths.isNotEmpty) {
|
||
final imageHash = await AnalysisCacheService.computeCombinedHash(imagePaths);
|
||
final cached = await AnalysisCacheService.getCached(imageHash);
|
||
if (cached != null) {
|
||
debugPrint('💰 API呼び出しをスキップ（キャッシュヒット）');
|
||
return cached;
|
||
}
|
||
}
|
||
|
||
// 2. API Key確認
|
||
final apiKey = Secrets.geminiApiKey;
|
||
if (apiKey.isEmpty) {
|
||
throw Exception('Gemini API Key is missing. Please set GEMINI_API_KEY.');
|
||
}
|
||
|
||
final model = GenerativeModel(
|
||
model: 'gemini-2.5-flash', // ⚠️ FIXED MODEL NAME - DO NOT CHANGE without explicit user approval (confirmed working on 2026-01-17)
|
||
apiKey: apiKey,
|
||
generationConfig: GenerationConfig(
|
||
responseMimeType: 'application/json',
|
||
temperature: 0.2, // チャート一貫性向上のため 0.4→0.2 に変更 (2026-02-09)
|
||
),
|
||
);
|
||
|
||
// Prepare Prompt
|
||
final promptText = customPrompt ?? '''
|
||
あなたは日本酒の専門家（ソムリエ）です。
|
||
添付の画像（日本酒のラベル）を分析し、以下のJSON形式で情報を抽出してください。
|
||
|
||
{
|
||
"name": "銘柄名",
|
||
"brand": "蔵元名",
|
||
"prefecture": "都道府県名",
|
||
"type": "特定名称（純米大吟醸など）",
|
||
"description": "味や特徴の魅力的な説明文(100文字程度)",
|
||
"catchCopy": "短いキャッチコピー(20文字以内)",
|
||
"confidenceScore": 80,
|
||
"flavorTags": ["フルーティー", "辛口", "華やか"],
|
||
"tasteStats": {"aroma":3,"sweetness":3,"acidity":3,"bitterness":3,"body":3},
|
||
"alcoholContent": 15.0,
|
||
"polishingRatio": 50,
|
||
"sakeMeterValue": 3.0,
|
||
"riceVariety": "山田錦",
|
||
"yeast": "きょうかい9号",
|
||
"manufacturingYearMonth": "2023.10"
|
||
}
|
||
|
||
値が不明な場合は null または 適切な推測値を入れてください。
|
||
''';
|
||
|
||
// Prepare Content
|
||
final contentParts = <Part>[TextPart(promptText)];
|
||
for (var path in imagePaths) {
|
||
// Phase 4: Images already compressed at capture time
|
||
final bytes = await File(path).readAsBytes();
|
||
contentParts.add(DataPart('image/jpeg', bytes));
|
||
}
|
||
|
||
try {
|
||
final response = await model.generateContent([Content.multi(contentParts)]);
|
||
|
||
final jsonString = response.text;
|
||
if (jsonString == null) throw Exception('Empty response from Gemini');
|
||
|
||
final jsonMap = jsonDecode(jsonString);
|
||
final result = SakeAnalysisResult.fromJson(jsonMap);
|
||
|
||
// 3. キャッシュに保存（次回は即座に返せる）
|
||
if (imagePaths.isNotEmpty) {
|
||
final imageHash = await AnalysisCacheService.computeCombinedHash(imagePaths);
|
||
await AnalysisCacheService.saveCache(imageHash, result);
|
||
// 4. 銘柄名インデックスに登録（v1.0.15: チャート一貫性向上）
|
||
await AnalysisCacheService.registerBrandIndex(result.name, imageHash);
|
||
}
|
||
|
||
return result;
|
||
|
||
} catch (e) {
|
||
debugPrint('Direct API Error: $e');
|
||
throw Exception('AI解析エラー(Direct): $e');
|
||
}
|
||
}
|
||
}
|
||
|
||
// Analysis Result Model
|
||
class SakeAnalysisResult {
|
||
final String? name;
|
||
final String? brand;
|
||
final String? prefecture;
|
||
final String? type;
|
||
final String? description;
|
||
final String? catchCopy;
|
||
final int? confidenceScore;
|
||
final List<String> flavorTags;
|
||
final Map<String, int> tasteStats;
|
||
|
||
// New Fields
|
||
final double? alcoholContent;
|
||
final int? polishingRatio;
|
||
final double? sakeMeterValue;
|
||
final String? riceVariety;
|
||
final String? yeast;
|
||
final String? manufacturingYearMonth;
|
||
|
||
SakeAnalysisResult({
|
||
this.name,
|
||
this.brand,
|
||
this.prefecture,
|
||
this.type,
|
||
this.description,
|
||
this.catchCopy,
|
||
this.confidenceScore,
|
||
this.flavorTags = const [],
|
||
this.tasteStats = const {},
|
||
this.alcoholContent,
|
||
this.polishingRatio,
|
||
this.sakeMeterValue,
|
||
this.riceVariety,
|
||
this.yeast,
|
||
this.manufacturingYearMonth,
|
||
});
|
||
|
||
factory SakeAnalysisResult.fromJson(Map<String, dynamic> json) {
|
||
// Helper to extract int from map safely
|
||
Map<String, int> stats = {};
|
||
if (json['tasteStats'] is Map) {
|
||
final map = json['tasteStats'] as Map;
|
||
stats = map.map((key, value) => MapEntry(key.toString(), (value as num?)?.toInt() ?? 3));
|
||
}
|
||
|
||
return SakeAnalysisResult(
|
||
name: json['name'] as String?,
|
||
brand: json['brand'] as String?,
|
||
prefecture: json['prefecture'] as String?,
|
||
type: json['type'] as String?,
|
||
description: json['description'] as String?,
|
||
catchCopy: json['catchCopy'] as String?,
|
||
confidenceScore: json['confidenceScore'] as int?,
|
||
flavorTags: (json['flavorTags'] as List<dynamic>?)?.map((e) => e.toString()).toList() ?? [],
|
||
tasteStats: stats,
|
||
alcoholContent: (json['alcoholContent'] as num?)?.toDouble(),
|
||
polishingRatio: (json['polishingRatio'] as num?)?.toInt(),
|
||
sakeMeterValue: (json['sakeMeterValue'] as num?)?.toDouble(),
|
||
riceVariety: json['riceVariety'] as String?,
|
||
yeast: json['yeast'] as String?,
|
||
manufacturingYearMonth: json['manufacturingYearMonth'] as String?,
|
||
);
|
||
}
|
||
|
||
/// JSON形式に変換（キャッシュ保存用）
|
||
Map<String, dynamic> toJson() {
|
||
return {
|
||
'name': name,
|
||
'brand': brand,
|
||
'prefecture': prefecture,
|
||
'type': type,
|
||
'description': description,
|
||
'catchCopy': catchCopy,
|
||
'confidenceScore': confidenceScore,
|
||
'flavorTags': flavorTags,
|
||
'tasteStats': tasteStats,
|
||
'alcoholContent': alcoholContent,
|
||
'polishingRatio': polishingRatio,
|
||
'sakeMeterValue': sakeMeterValue,
|
||
'riceVariety': riceVariety,
|
||
'yeast': yeast,
|
||
'manufacturingYearMonth': manufacturingYearMonth,
|
||
};
|
||
}
|
||
}
|