perf: 优化 logo

app.json

@@ -2,7 +2,7 @@
   "expo": {
     "name": "Out Live",
     "slug": "digital-pilates",
-    "version": "1.0.5",
+    "version": "1.0.11",
     "orientation": "portrait",
     "scheme": "digitalpilates",
     "userInterfaceStyle": "light",

app/voice-record.tsx

@@ -1,6 +1,9 @@
 import { HeaderBar } from '@/components/ui/HeaderBar';
 import { Colors } from '@/constants/Colors';
+import { useAppDispatch } from '@/hooks/redux';
 import { useColorScheme } from '@/hooks/useColorScheme';
+import { analyzeFoodFromText } from '@/services/foodRecognition';
+import { saveRecognitionResult, setError, setLoading } from '@/store/foodRecognitionSlice';
 import { triggerHapticFeedback } from '@/utils/haptics';
 import { Ionicons } from '@expo/vector-icons';
 import Voice from '@react-native-voice/voice';
@@ -19,22 +22,26 @@ import {
 
 const { width } = Dimensions.get('window');
 
-type VoiceRecordState = 'idle' | 'listening' | 'processing' | 'result';
+type VoiceRecordState = 'idle' | 'listening' | 'processing' | 'result' | 'analyzing';
 
 export default function VoiceRecordScreen() {
   const theme = useColorScheme() ?? 'light';
   const colorTokens = Colors[theme];
   const { mealType = 'dinner' } = useLocalSearchParams<{ mealType?: string }>();
+  const dispatch = useAppDispatch();
 
   // 状态管理
   const [recordState, setRecordState] = useState<VoiceRecordState>('idle');
   const [recognizedText, setRecognizedText] = useState('');
   const [isListening, setIsListening] = useState(false);
+  const [analysisProgress, setAnalysisProgress] = useState(0);
 
   // 动画相关
   const scaleAnimation = useRef(new Animated.Value(1)).current;
   const pulseAnimation = useRef(new Animated.Value(1)).current;
   const waveAnimation = useRef(new Animated.Value(0)).current;
+  const glowAnimation = useRef(new Animated.Value(0)).current;
+  const progressAnimation = useRef(new Animated.Value(0)).current;
 
   useEffect(() => {
     // 初始化语音识别
@@ -80,13 +87,43 @@ export default function VoiceRecordScreen() {
     ).start();
   };
 
+  // 启动科幻分析动画
+  const startAnalysisAnimation = () => {
+    // 光环动画
+    Animated.loop(
+      Animated.sequence([
+        Animated.timing(glowAnimation, {
+          toValue: 1,
+          duration: 2000,
+          useNativeDriver: false,
+        }),
+        Animated.timing(glowAnimation, {
+          toValue: 0,
+          duration: 2000,
+          useNativeDriver: false,
+        }),
+      ])
+    ).start();
+
+    // 进度条动画
+    Animated.timing(progressAnimation, {
+      toValue: 1,
+      duration: 8000, // 8秒完成
+      useNativeDriver: false,
+    }).start();
+  };
+
   // 停止所有动画
   const stopAnimations = () => {
     pulseAnimation.stopAnimation();
     waveAnimation.stopAnimation();
+    glowAnimation.stopAnimation();
+    progressAnimation.stopAnimation();
     scaleAnimation.setValue(1);
     pulseAnimation.setValue(1);
     waveAnimation.setValue(0);
+    glowAnimation.setValue(0);
+    progressAnimation.setValue(0);
   };
 
   // 语音识别回调
@@ -165,11 +202,68 @@ export default function VoiceRecordScreen() {
     startRecording();
   };
 
-  // 确认并返回结果
+  // 确认并分析食物文本
-  const confirmResult = () => {
+  const confirmResult = async () => {
+    if (!recognizedText.trim()) {
+      Alert.alert('提示', '请先进行语音识别');
+      return;
+    }
+
+    try {
       triggerHapticFeedback('impactMedium');
-    // TODO: 处理识别结果，可以传递给食物分析页面
+      setRecordState('analyzing');
-    router.back();
+      setAnalysisProgress(0);
+      
+      // 启动科幻分析动画
+      startAnalysisAnimation();
+
+      // 模拟进度更新
+      const progressInterval = setInterval(() => {
+        setAnalysisProgress(prev => {
+          if (prev >= 90) {
+            clearInterval(progressInterval);
+            return prev;
+          }
+          return prev + Math.random() * 15;
+        });
+      }, 500);
+
+      // 调用文本分析API
+      dispatch(setLoading(true));
+      const result = await analyzeFoodFromText({ text: recognizedText });
+
+      // 清理进度定时器
+      clearInterval(progressInterval);
+      setAnalysisProgress(100);
+
+      // 生成识别结果ID并保存到Redux
+      const recognitionId = `text_${Date.now()}`;
+      dispatch(saveRecognitionResult({ id: recognitionId, result }));
+
+      // 停止动画并导航到结果页面
+      stopAnimations();
+      
+      // 延迟一点让用户看到100%完成
+      setTimeout(() => {
+        router.replace({
+          pathname: '/food/analysis-result',
+          params: {
+            recognitionId,
+            mealType: mealType,
+            hideRecordBar: 'false'
+          }
+        });
+      }, 800);
+
+    } catch (error) {
+      console.error('食物分析失败:', error);
+      stopAnimations();
+      setRecordState('result');
+      
+      const errorMessage = error instanceof Error ? error.message : '分析失败，请重试';
+      dispatch(setError(errorMessage));
+      Alert.alert('分析失败', errorMessage);
+    }
   };
 
   const handleBack = () => {
@@ -188,6 +282,8 @@ export default function VoiceRecordScreen() {
         return '正在聆听...';
       case 'processing':
         return 'AI处理中...';
+      case 'analyzing':
+        return 'AI大模型分析中...';
       case 'result':
         return '识别完成';
       default:
@@ -219,6 +315,13 @@ export default function VoiceRecordScreen() {
           icon: 'hourglass',
           size: 80,
         };
+      case 'analyzing':
+        return {
+          onPress: () => { },
+          color: '#00D4AA',
+          icon: 'analytics',
+          size: 80,
+        };
       case 'result':
         return {
           onPress: confirmResult,
@@ -271,6 +374,52 @@ export default function VoiceRecordScreen() {
             </>
           )}
 
+          {/* 科幻分析特效 */}
+          {recordState === 'analyzing' && (
+            <>
+              {/* 外光环 */}
+              <Animated.View
+                style={[
+                  styles.glowRing,
+                  {
+                    opacity: glowAnimation.interpolate({
+                      inputRange: [0, 1],
+                      outputRange: [0.3, 0.8],
+                    }),
+                    transform: [
+                      {
+                        scale: glowAnimation.interpolate({
+                          inputRange: [0, 1],
+                          outputRange: [1.2, 1.6],
+                        }),
+                      },
+                    ],
+                  },
+                ]}
+              />
+              {/* 内光环 */}
+              <Animated.View
+                style={[
+                  styles.innerGlowRing,
+                  {
+                    opacity: glowAnimation.interpolate({
+                      inputRange: [0, 1],
+                      outputRange: [0.5, 1],
+                    }),
+                    transform: [
+                      {
+                        scale: glowAnimation.interpolate({
+                          inputRange: [0, 1],
+                          outputRange: [0.9, 1.1],
+                        }),
+                      },
+                    ],
+                  },
+                ]}
+              />
+            </>
+          )}
+
           {/* 主录音按钮 */}
           <Animated.View
             style={[
@@ -288,7 +437,7 @@ export default function VoiceRecordScreen() {
               style={styles.recordButtonInner}
               onPress={buttonConfig.onPress}
               activeOpacity={0.8}
-              disabled={recordState === 'processing'}
+              disabled={recordState === 'processing' || recordState === 'analyzing'}
             >
               <Ionicons
                 name={buttonConfig.icon as any}
@@ -310,6 +459,30 @@ export default function VoiceRecordScreen() {
               说出您想记录的食物内容
             </Text>
           )}
+
+          {recordState === 'analyzing' && (
+            <View style={styles.analysisProgressContainer}>
+              <Text style={[styles.progressText, { color: colorTokens.text }]}>
+                分析进度: {Math.round(analysisProgress)}%
+              </Text>
+              <View style={styles.progressBarContainer}>
+                <Animated.View
+                  style={[
+                    styles.progressBar,
+                    {
+                      width: progressAnimation.interpolate({
+                        inputRange: [0, 1],
+                        outputRange: ['0%', '100%'],
+                      }),
+                    },
+                  ]}
+                />
+              </View>
+              <Text style={[styles.analysisHint, { color: colorTokens.textSecondary }]}>
+                AI正在深度分析您的食物描述...
+              </Text>
+            </View>
+          )}
         </View>
 
         {/* 识别结果 */}
@@ -468,4 +641,60 @@ const styles = StyleSheet.create({
     fontWeight: '500',
     color: 'white',
   },
+  // 科幻分析特效样式
+  glowRing: {
+    position: 'absolute',
+    width: 200,
+    height: 200,
+    borderRadius: 100,
+    backgroundColor: 'rgba(0, 212, 170, 0.1)',
+    borderWidth: 2,
+    borderColor: '#00D4AA',
+    shadowColor: '#00D4AA',
+    shadowOffset: { width: 0, height: 0 },
+    shadowOpacity: 0.8,
+    shadowRadius: 20,
+  },
+  innerGlowRing: {
+    position: 'absolute',
+    width: 180,
+    height: 180,
+    borderRadius: 90,
+    backgroundColor: 'rgba(0, 212, 170, 0.05)',
+    borderWidth: 1,
+    borderColor: 'rgba(0, 212, 170, 0.3)',
+  },
+  analysisProgressContainer: {
+    alignItems: 'center',
+    marginTop: 20,
+    paddingHorizontal: 20,
+  },
+  progressText: {
+    fontSize: 16,
+    fontWeight: '600',
+    marginBottom: 12,
+  },
+  progressBarContainer: {
+    width: '100%',
+    height: 6,
+    backgroundColor: 'rgba(0, 212, 170, 0.2)',
+    borderRadius: 3,
+    overflow: 'hidden',
+    marginBottom: 8,
+  },
+  progressBar: {
+    height: '100%',
+    backgroundColor: '#00D4AA',
+    borderRadius: 3,
+    shadowColor: '#00D4AA',
+    shadowOffset: { width: 0, height: 0 },
+    shadowOpacity: 0.8,
+    shadowRadius: 4,
+  },
+  analysisHint: {
+    fontSize: 14,
+    textAlign: 'center',
+    lineHeight: 20,
+    fontStyle: 'italic',
+  },
 });

assets/icon.icon/icon.json

@@ -7,7 +7,7 @@
           "blend-mode": "normal",
           "glass": true,
           "hidden": false,
-          "image-name": "icon-1756312748268.png",
+          "image-name": "icon-1756312748268.jpg",
           "name": "icon-1756312748268",
           "opacity": 1
         }

ios/digitalpilates/Images.xcassets/AppIcon.appiconset/Contents.json

@@ -1,7 +1,7 @@
 {
   "images" : [
     {
-      "filename" : "icon-1756312748268.png",
+      "filename" : "icon-1756312748268.jpg",
       "idiom" : "universal",
       "platform" : "ios",
       "size" : "1024x1024"

ios/digitalpilates/Images.xcassets/SplashScreenLogo.imageset/Contents.json

@@ -1,17 +1,17 @@
 {
   "images" : [
     {
-      "filename" : "icon-1756312748268.png",
+      "filename" : "icon-1756312748268.jpg",
       "idiom" : "universal",
       "scale" : "1x"
     },
     {
-      "filename" : "icon-1756312748268 1.png",
+      "filename" : "icon-1756312748268 1.jpg",
       "idiom" : "universal",
       "scale" : "2x"
     },
     {
-      "filename" : "icon-1756312748268 2.png",
+      "filename" : "icon-1756312748268 2.jpg",
       "idiom" : "universal",
       "scale" : "3x"
     }

ios/digitalpilates/Images.xcassets/logo.imageset/Contents.json

@@ -1,17 +1,17 @@
 {
   "images" : [
     {
-      "filename" : "icon-1756312748268.png",
+      "filename" : "icon-1756312748268.jpg",
       "idiom" : "universal",
       "scale" : "1x"
     },
     {
-      "filename" : "icon-1756312748268 1.png",
+      "filename" : "icon-1756312748268 1.jpg",
       "idiom" : "universal",
       "scale" : "2x"
     },
     {
-      "filename" : "icon-1756312748268 2.png",
+      "filename" : "icon-1756312748268 2.jpg",
       "idiom" : "universal",
       "scale" : "3x"
     }

ios/digitalpilates/Info.plist

@@ -24,7 +24,7 @@
 	<key>CFBundlePackageType</key>
 	<string>$(PRODUCT_BUNDLE_PACKAGE_TYPE)</string>
 	<key>CFBundleShortVersionString</key>
-	<string>1.0.10</string>
+	<string>1.0.11</string>
 	<key>CFBundleSignature</key>
 	<string>????</string>
 	<key>CFBundleURLTypes</key>

services/foodRecognition.ts

@@ -21,6 +21,10 @@ export type FoodRecognitionRequest = {
   imageUrls: string[];
 };
 
+export type TextFoodAnalysisRequest = {
+  text: string;
+};
+
 export type FoodRecognitionResponse = {
   items: FoodConfirmationOption[];
   analysisText: string;
@@ -32,3 +36,7 @@ export type FoodRecognitionResponse = {
 export async function recognizeFood(request: FoodRecognitionRequest): Promise<FoodRecognitionResponse> {
   return api.post<FoodRecognitionResponse>('/ai-coach/food-recognition', request);
 }
+
+export async function analyzeFoodFromText(request: TextFoodAnalysisRequest): Promise<FoodRecognitionResponse> {
+  return api.post<FoodRecognitionResponse>('/ai-coach/text-food-analysis', request);
+}