hack/tools/scripts/llm-key-hunter/results/_cache/content/ahhuu_fitnessdiary.json

{"repo": "ahhuu/fitnessdiary", "files": {"app/src/main/java/com/cz/fitnessdiary/service/DailyBriefingService.java": {"a8e4b93c9016240a60acf90e1d181be631703401": {"t": 1785745665.1336975, "n": 14400, "h": "fee13e46f1652082", "c": "package com.cz.fitnessdiary.service;\n\nimport android.app.Application;\nimport android.content.Context;\nimport android.content.SharedPreferences;\nimport android.os.Handler;\nimport android.os.Looper;\n\nimport com.cz.fitnessdiary.BuildConfig;\nimport com.cz.fitnessdiary.database.AppDatabase;\nimport com.cz.fitnessdiary.database.entity.User;\nimport com.cz.fitnessdiary.model.DailyHealthSnapshot;\nimport com.cz.fitnessdiary.model.HealthScoreBreakdown;\nimport com.cz.fitnessdiary.model.WeeklyTrend;\nimport com.cz.fitnessdiary.repository.HealthAggregationRepository;\nimport com.cz.fitnessdiary.utils.DateUtils;\nimport com.cz.fitnessdiary.utils.HealthScoreCalculator;\nimport com.google.gson.Gson;\nimport com.google.gson.JsonArray;\nimport com.google.gson.JsonObject;\nimport com.google.gson.JsonSyntaxException;\n\nimport java.util.ArrayList;\nimport java.util.List;\nimport java.util.concurrent.ExecutorService;\nimport java.util.concurrent.Executors;\n\n/**\n * AI 日报服务 - v3.0\n * 负责生成、缓存每日健康简报。\n * 优先使用 DeepSeek AI 生成，失败或未配置时降级为本地规则引擎。\n */\npublic class DailyBriefingService {\n\n    private static final String PREFS_NAME = \"daily_briefing_prefs\";\n    private static final String KEY_CACHED_BRIEFING = \"cached_briefing\";\n    private static final String KEY_CACHED_DATE = \"cached_date\";\n    private static final String KEY_CACHED_AT = \"cached_at\";\n\n    private static final long ONE_DAY_MS = 86400000L;\n\n    private final Application application;\n    private final HealthAggregationRepository aggregationRepo;\n    private final SharedPreferences prefs;\n    private final ExecutorService executor;\n    private final Handler mainHandler;\n    private final Gson gson;\n\n    /**\n     * 每日简报数据类\n     */\n    public static class DailyBriefing {\n        public String greeting;\n        public String scoreComment;\n        public List<String> highlights;\n        public String suggestion;\n        public String motivation;\n        public boolean isLocal;\n        public long generatedAt;\n\n        public DailyBriefing() {\n            this.highlights = new ArrayList<>();\n        }\n    }\n\n    /**\n     * 简报生成回调接口\n     */\n    public interface DailyBriefingCallback {\n        void onBriefingReady(DailyBriefing briefing);\n    }\n\n    public DailyBriefingService(Application application) {\n        this.application = application;\n        this.aggregationRepo = new HealthAggregationRepository(application);\n        this.prefs = application.getSharedPreferences(PREFS_NAME, Context.MODE_PRIVATE);\n        this.executor = Executors.newSingleThreadExecutor();\n        this.mainHandler = new Handler(Looper.getMainLooper());\n        this.gson = new Gson();\n    }\n\n    // ================================================================\n    // 公共 API\n    // ================================================================\n\n    /**\n     * 获取缓存的简报（仅在缓存日期为今日时有效）\n     *\n     * @return 缓存的 DailyBriefing，若无缓存或已过期则返回 null\n     */\n    public DailyBriefing getCachedBriefing() {\n        long cachedDate = prefs.getLong(KEY_CACHED_DATE, 0);\n        long today = DateUtils.getTodayStartTimestamp();\n        if (cachedDate != today) {\n            return null;\n        }\n        String json = prefs.getString(KEY_CACHED_BRIEFING, null);\n        if (json == null || json.isEmpty()) {\n            return null;\n        }\n        try {\n            return gson.fromJson(json, DailyBriefing.class);\n        } catch (JsonSyntaxException e) {\n            prefs.edit().remove(KEY_CACHED_BRIEFING).apply();\n            return null;\n        }\n    }\n\n    /**\n     * 清除缓存的简报\n     */\n    public void invalidateCache() {\n        prefs.edit()\n                .remove(KEY_CACHED_BRIEFING)\n                .remove(KEY_CACHED_DATE)\n                .remove(KEY_CACHED_AT)\n                .apply();\n    }\n\n    /**\n     * 生成今日简报（异步）\n     * <p>\n     * 流程：获取昨日数据快照 -> 评分 -> 尝试 AI 生成 -> 失败降级本地生成 -> 缓存 -> 回调\n     *\n     * @param callback 回调接口，在主线程执行\n     */\n    public void generateBriefing(DailyBriefingCallback callback) {\n        executor.execute(() -> {\n            try {\n                // 1. 获取昨日数据\n                long yesterday = DateUtils.getTodayStartTimestamp() - ONE_DAY_MS;\n                DailyHealthSnapshot snapshot = aggregationRepo.getDateSnapshot(yesterday);\n                HealthScoreCalculator.UserProfile profile = buildUserProfile();\n                HealthScoreBreakdown breakdown = HealthScoreCalculator.calculateBreakdown(snapshot, profile);\n                snapshot.healthScore = breakdown.totalScore;\n\n                // 2. 尝试 AI 生成\n                if (isDirectAiConfigured()) {\n                    callAiForBriefing(snapshot, breakdown, callback);\n                } else {\n                    // 3. 降级为本地生成\n                    DailyBriefing briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                    cacheBriefing(briefing);\n                    mainHandler.post(() -> callback.onBriefingReady(briefing));\n                }\n            } catch (Exception e) {\n                // 异常情况下生成最简简报\n                DailyBriefing fallback = createEmergencyBriefing();\n                mainHandler.post(() -> callback.onBriefingReady(fallback));\n            }\n        });\n    }\n\n    // ================================================================\n    // 内部方法\n    // ================================================================\n\n    /** Direct personal AI is optional; local generation remains the safe fallback. */\n    private boolean isDirectAiConfigured() {\n        return !BuildConfig.DEEPSEEK_API_KEY.trim().isEmpty();\n    }\n\n    /**\n     * 调用 DeepSeek AI 生成简报\n     */\n    private void callAiForBriefing(DailyHealthSnapshot snapshot,\n                                   HealthScoreBreakdown breakdown,\n                                   DailyBriefingCallback callback) {\n        List<WeeklyTrend> trends = aggregationRepo.getWeeklyTrends();\n        String userPrompt = buildUserPrompt(snapshot, breakdown, trends);\n        String systemPrompt = \"你是专业健康教练。基于用户健康数据生成今日简报。\"\n                + \"以JSON格式输出，不要包含markdown代码块标记：\"\n                + \"{\\\"greeting\\\":\\\"...\\\",\\\"scoreComment\\\":\\\"...\\\",\"\n                + \"\\\"highlights\\\":[\\\"...\\\"],\\\"suggestion\\\":\\\"...\\\",\\\"motivation\\\":\\\"...\\\"}\";\n\n        DeepSeekService.sendMessage(userPrompt, systemPrompt,\n                new AICallback() {\n                    @Override\n                    public void onSuccess(String response, String reasoning) {\n                        DailyBriefing briefing = parseAiResponse(response);\n                        if (briefing == null) {\n                            // JSON 解析失败，降级本地生成\n                            briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                        } else {\n                            briefing.isLocal = false;\n                        }\n                        cacheBriefing(briefing);\n                        callback.onBriefingReady(briefing);\n                    }\n\n                    @Override\n                    public void onError(String error) {\n                        // AI 调用失败，降级本地生成\n                        DailyBriefing briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                        cacheBriefing(briefing);\n                        callback.onBriefingReady(briefing);\n                    }\n\n                    @Override\n                    public void onPartialUpdate(String content, String reasoning) {\n                        // 非流式模式，无需处理\n                    }\n                });\n    }\n\n    /**\n     * 构建 AI 用户 Prompt\n     */\n    private String buildUserPrompt(DailyHealthSnapshot snapshot,\n                                   HealthScoreBreakdown breakdown,\n                                   List<WeeklyTrend> trends) {\n        StringBuilder sb = new StringBuilder();\n        sb.append(\"请根据以下用户昨日健康数据生成一份简报。\\n\\n\");\n        sb.append(\"【昨日数据】\\n\");\n        sb.append(\"- 健康评分：\").append(breakdown.totalScore).append(\"/100\\n\");\n        sb.append(\"- 运动消耗：\").append(snapshot.exerciseCalories).append(\" 千卡\\n\");\n        sb.append(\"- 饮食摄入：\").append(snapshot.dietCalories).append(\" 千卡\\n\");\n        sb.append(\"- 基础代谢：\").append(snapshot.bmr).append(\" 千卡\\n\");\n        sb.append(\"- 热量平衡：\").append(snapshot.energyBalance >= 0 ? \"+\" : \"\")\n                .append(snapshot.energyBalance).append(\" 千卡\\n\");\n        sb.append(\"- 步数：\").append(snapshot.steps).append(\"\\n\");\n        sb.append(\"- 睡眠时长：\").append(String.format(java.util.Locale.getDefault(),\n                \"%.1f\", snapshot.sleepHours)).append(\" 小时\\n\");\n        sb.append(\"- 睡眠质量：\").append(snapshot.sleepQuality).append(\"/5\\n\");\n        sb.append(\"- 饮水量：\").append(snapshot.waterMl).append(\" ml\\n\");\n        sb.append(\"- 完成计划：\").append(snapshot.completedPlans)\n                .append(\"/\").append(snapshot.totalPlans).append(\"\\n\");\n        sb.append(\"- 连续打卡：\").append(snapshot.consecutiveDays).append(\" 天\\n\");\n        sb.append(\"- 心情等级：\").append(snapshot.moodLevel).append(\"/5\\n\");\n        if (snapshot.currentPlanName != null) {\n            sb.append(\"- 当前计划：\").append(snapshot.currentPlanName).append(\"\\n\");\n        }\n\n        // 评分明细\n        sb.append(\"\\n【评分明细】\\n\");\n        sb.append(\"- 运动评分：\").append(breakdown.exerciseScore).append(\"/25\\n\");\n        sb.append(\"- 饮食评分：\").append(breakdown.dietScore).append(\"/25\\n\");\n        sb.append(\"- 习惯评分：\").append(breakdown.habitsScore).append(\"/20\\n\");\n        sb.append(\"- 身体指标评分：\").append(breakdown.bodyMetricsScore).append(\"/15\\n\");\n        sb.append(\"- 坚持度评分：\").append(breakdown.consistencyScore).append(\"/15\\n\");\n\n        // 7日趋势\n        if (trends != null && !trends.isEmpty()) {\n            sb.append(\"\\n【近7日趋势】\\n\");\n            for (WeeklyTrend trend : trends) {\n                sb.append(\"- \").append(trend.label).append(\"：\").append(trend.getChangeText()).append(\"\\n\");\n            }\n        }\n\n        sb.append(\"\\n请以JSON格式输出（仅JSON，不含markdown标记）：\\n\");\n        sb.append(\"{\\\"greeting\\\":\\\"问候语\\\",\\\"scoreComment\\\":\\\"评分评价\\\",\");\n        sb.append(\"\\\"highlights\\\":[\\\"亮点1\\\",\\\"亮点2\\\"],\");\n        sb.append(\"\\\"suggestion\\\":\\\"一条建议\\\",\\\"motivation\\\":\\\"一句鼓励\\\"}\");\n        return sb.toString();\n    }\n\n    /**\n     * 解析 AI 返回的 JSON 响应\n     *\n     * @param response AI 返回的原始字符串\n     * @return 解析成功的 DailyBriefing，失败返回 null\n     */\n    private DailyBriefing parseAiResponse(String response) {\n        if (response == null || response.trim().isEmpty()) {\n            return null;\n        }\n        try {\n            String json = response.trim();\n            // 移除可能的 markdown 代码块标记\n            if (json.startsWith(\"```\")) {\n                int start = json.indexOf('\\n');\n                if (start != -1) {\n                    json = json.substring(start + 1);\n                }\n                int end = json.lastIndexOf(\"```\");\n                if (end != -1) {\n                    json = json.substring(0, end);\n                }\n                json = json.trim();\n            }\n\n            JsonObject obj = gson.fromJson(json, JsonObject.class);\n            if (obj == null) {\n                return null;\n            }\n\n            DailyBriefing briefing = new DailyBriefing();\n            briefing.greeting = getJsonString(obj, \"greeting\");\n            briefing.scoreComment = getJsonString(obj, \"scoreComment\");\n            briefing.suggestion = getJsonString(obj, \"suggestion\");\n            briefing.motivation = getJsonString(obj, \"motivation\");\n\n            // 解析亮点列表\n            briefing.highlights = new ArrayList<>();\n            if (obj.has(\"highlights\") && obj.get(\"highlights\").isJsonArray()) {\n                JsonArray arr = obj.getAsJsonArray(\"highlights\");\n                for (int i = 0; i < arr.size(); i++) {\n                    briefing.highlights.add(arr.get(i).getAsString());\n                }\n            }\n\n            briefing.isLocal = false;\n            briefing.generatedAt = System.currentTimeMillis();\n            return briefing;\n        } catch (Exception e) {\n            return null;\n        }\n    }\n\n    /**\n     * 安全地从 JsonObject 获取字符串字段\n     */\n    private static String getJsonString(JsonObject obj, String key) {\n        if (obj.has(key) && !obj.get(key).isJsonNull()) {\n            return obj.get(key).getAsString();\n        }\n        return \"\";\n    }\n\n    /**\n     * 缓存简报数据\n     */\n    private void cacheBriefing(DailyBriefing briefing) {\n        try {\n            String json = gson.toJson(briefing);\n            prefs.edit()\n                    .putString(KEY_CACHED_BRIEFING, json)\n                    .putLong(KEY_CACHED_DATE, DateUtils.getTodayStartTimestamp())\n                    .putLong(KEY_CACHED_AT, System.currentTimeMillis())\n                    .apply();\n        } catch (Exception ignored) {\n            // 缓存失败不影响使用\n        }\n    }\n\n    /**\n     * 构建用户健康档案配置\n     */\n    private HealthScoreCalculator.UserProfile buildUserProfile() {\n        HealthScoreCalculator.UserProfile p = new HealthScoreCalculator.UserProfile();\n        try {\n            AppDatabase db = AppDatabase.getInstance(application);\n            User user = db.userDao().getUserSync();\n            if (user != null) {\n                if (user.getDailyCalorieTarget() > 0) {\n                    p.dailyCalorieTarget = user.getDailyCalorieTarget();\n                }\n                if (user.getDailyWaterTarget() > 0) {\n                    p.waterTargetMl = user.getDailyWaterTarget();\n                }\n                p.weightKg = user.getWeight();\n                p.heightCm = user.getHeight();\n                p.age = user.getAge();\n                p.gender = user.getGender() == 1 ? \"male\" : \"female\";\n                int goalType = user.getGoalType();\n                if (goalType == 0) {\n                    p.goalType = \"lose\";\n                } else if (goalType == 1) {\n                    p.goalType = \"gain\";\n                } else {\n                    p.goalType = \"maintain\";\n                }\n            }\n        } catch (Exception ignored) {\n        }\n        return p;\n    }\n\n    /**\n     * 紧急情况下的最简简报\n     */\n    private static DailyBriefing createEmergencyBriefing() {\n        DailyBriefing briefing = new DailyBriefing();\n        briefing.greeting = \"欢迎回来！\";\n        briefing.scoreComment = \"暂时无法获取评分数据\";\n        briefing.highlights = new ArrayList<>();\n        briefing.highlights.add(\"数据加载中，请稍后刷新\");\n        briefing.suggestion = \"下拉刷新页面重试\";\n        briefing.motivation = \"保持好心情，健康每一天！\";\n        briefing.isLocal = true;\n        briefing.generatedAt = System.currentTimeMillis();\n        return briefing;\n    }\n}\n"}, "dc45b9ee10095ebcd3ecd5d961611fc04610a812": {"t": 1785755588.25273, "n": 14400, "h": "fee13e46f1652082", "c": "package com.cz.fitnessdiary.service;\n\nimport android.app.Application;\nimport android.content.Context;\nimport android.content.SharedPreferences;\nimport android.os.Handler;\nimport android.os.Looper;\n\nimport com.cz.fitnessdiary.BuildConfig;\nimport com.cz.fitnessdiary.database.AppDatabase;\nimport com.cz.fitnessdiary.database.entity.User;\nimport com.cz.fitnessdiary.model.DailyHealthSnapshot;\nimport com.cz.fitnessdiary.model.HealthScoreBreakdown;\nimport com.cz.fitnessdiary.model.WeeklyTrend;\nimport com.cz.fitnessdiary.repository.HealthAggregationRepository;\nimport com.cz.fitnessdiary.utils.DateUtils;\nimport com.cz.fitnessdiary.utils.HealthScoreCalculator;\nimport com.google.gson.Gson;\nimport com.google.gson.JsonArray;\nimport com.google.gson.JsonObject;\nimport com.google.gson.JsonSyntaxException;\n\nimport java.util.ArrayList;\nimport java.util.List;\nimport java.util.concurrent.ExecutorService;\nimport java.util.concurrent.Executors;\n\n/**\n * AI 日报服务 - v3.0\n * 负责生成、缓存每日健康简报。\n * 优先使用 DeepSeek AI 生成，失败或未配置时降级为本地规则引擎。\n */\npublic class DailyBriefingService {\n\n    private static final String PREFS_NAME = \"daily_briefing_prefs\";\n    private static final String KEY_CACHED_BRIEFING = \"cached_briefing\";\n    private static final String KEY_CACHED_DATE = \"cached_date\";\n    private static final String KEY_CACHED_AT = \"cached_at\";\n\n    private static final long ONE_DAY_MS = 86400000L;\n\n    private final Application application;\n    private final HealthAggregationRepository aggregationRepo;\n    private final SharedPreferences prefs;\n    private final ExecutorService executor;\n    private final Handler mainHandler;\n    private final Gson gson;\n\n    /**\n     * 每日简报数据类\n     */\n    public static class DailyBriefing {\n        public String greeting;\n        public String scoreComment;\n        public List<String> highlights;\n        public String suggestion;\n        public String motivation;\n        public boolean isLocal;\n        public long generatedAt;\n\n        public DailyBriefing() {\n            this.highlights = new ArrayList<>();\n        }\n    }\n\n    /**\n     * 简报生成回调接口\n     */\n    public interface DailyBriefingCallback {\n        void onBriefingReady(DailyBriefing briefing);\n    }\n\n    public DailyBriefingService(Application application) {\n        this.application = application;\n        this.aggregationRepo = new HealthAggregationRepository(application);\n        this.prefs = application.getSharedPreferences(PREFS_NAME, Context.MODE_PRIVATE);\n        this.executor = Executors.newSingleThreadExecutor();\n        this.mainHandler = new Handler(Looper.getMainLooper());\n        this.gson = new Gson();\n    }\n\n    // ================================================================\n    // 公共 API\n    // ================================================================\n\n    /**\n     * 获取缓存的简报（仅在缓存日期为今日时有效）\n     *\n     * @return 缓存的 DailyBriefing，若无缓存或已过期则返回 null\n     */\n    public DailyBriefing getCachedBriefing() {\n        long cachedDate = prefs.getLong(KEY_CACHED_DATE, 0);\n        long today = DateUtils.getTodayStartTimestamp();\n        if (cachedDate != today) {\n            return null;\n        }\n        String json = prefs.getString(KEY_CACHED_BRIEFING, null);\n        if (json == null || json.isEmpty()) {\n            return null;\n        }\n        try {\n            return gson.fromJson(json, DailyBriefing.class);\n        } catch (JsonSyntaxException e) {\n            prefs.edit().remove(KEY_CACHED_BRIEFING).apply();\n            return null;\n        }\n    }\n\n    /**\n     * 清除缓存的简报\n     */\n    public void invalidateCache() {\n        prefs.edit()\n                .remove(KEY_CACHED_BRIEFING)\n                .remove(KEY_CACHED_DATE)\n                .remove(KEY_CACHED_AT)\n                .apply();\n    }\n\n    /**\n     * 生成今日简报（异步）\n     * <p>\n     * 流程：获取昨日数据快照 -> 评分 -> 尝试 AI 生成 -> 失败降级本地生成 -> 缓存 -> 回调\n     *\n     * @param callback 回调接口，在主线程执行\n     */\n    public void generateBriefing(DailyBriefingCallback callback) {\n        executor.execute(() -> {\n            try {\n                // 1. 获取昨日数据\n                long yesterday = DateUtils.getTodayStartTimestamp() - ONE_DAY_MS;\n                DailyHealthSnapshot snapshot = aggregationRepo.getDateSnapshot(yesterday);\n                HealthScoreCalculator.UserProfile profile = buildUserProfile();\n                HealthScoreBreakdown breakdown = HealthScoreCalculator.calculateBreakdown(snapshot, profile);\n                snapshot.healthScore = breakdown.totalScore;\n\n                // 2. 尝试 AI 生成\n                if (isDirectAiConfigured()) {\n                    callAiForBriefing(snapshot, breakdown, callback);\n                } else {\n                    // 3. 降级为本地生成\n                    DailyBriefing briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                    cacheBriefing(briefing);\n                    mainHandler.post(() -> callback.onBriefingReady(briefing));\n                }\n            } catch (Exception e) {\n                // 异常情况下生成最简简报\n                DailyBriefing fallback = createEmergencyBriefing();\n                mainHandler.post(() -> callback.onBriefingReady(fallback));\n            }\n        });\n    }\n\n    // ================================================================\n    // 内部方法\n    // ================================================================\n\n    /** Direct personal AI is optional; local generation remains the safe fallback. */\n    private boolean isDirectAiConfigured() {\n        return !BuildConfig.DEEPSEEK_API_KEY.trim().isEmpty();\n    }\n\n    /**\n     * 调用 DeepSeek AI 生成简报\n     */\n    private void callAiForBriefing(DailyHealthSnapshot snapshot,\n                                   HealthScoreBreakdown breakdown,\n                                   DailyBriefingCallback callback) {\n        List<WeeklyTrend> trends = aggregationRepo.getWeeklyTrends();\n        String userPrompt = buildUserPrompt(snapshot, breakdown, trends);\n        String systemPrompt = \"你是专业健康教练。基于用户健康数据生成今日简报。\"\n                + \"以JSON格式输出，不要包含markdown代码块标记：\"\n                + \"{\\\"greeting\\\":\\\"...\\\",\\\"scoreComment\\\":\\\"...\\\",\"\n                + \"\\\"highlights\\\":[\\\"...\\\"],\\\"suggestion\\\":\\\"...\\\",\\\"motivation\\\":\\\"...\\\"}\";\n\n        DeepSeekService.sendMessage(userPrompt, systemPrompt,\n                new AICallback() {\n                    @Override\n                    public void onSuccess(String response, String reasoning) {\n                        DailyBriefing briefing = parseAiResponse(response);\n                        if (briefing == null) {\n                            // JSON 解析失败，降级本地生成\n                            briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                        } else {\n                            briefing.isLocal = false;\n                        }\n                        cacheBriefing(briefing);\n                        callback.onBriefingReady(briefing);\n                    }\n\n                    @Override\n                    public void onError(String error) {\n                        // AI 调用失败，降级本地生成\n                        DailyBriefing briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                        cacheBriefing(briefing);\n                        callback.onBriefingReady(briefing);\n                    }\n\n                    @Override\n                    public void onPartialUpdate(String content, String reasoning) {\n                        // 非流式模式，无需处理\n                    }\n                });\n    }\n\n    /**\n     * 构建 AI 用户 Prompt\n     */\n    private String buildUserPrompt(DailyHealthSnapshot snapshot,\n                                   HealthScoreBreakdown breakdown,\n                                   List<WeeklyTrend> trends) {\n        StringBuilder sb = new StringBuilder();\n        sb.append(\"请根据以下用户昨日健康数据生成一份简报。\\n\\n\");\n        sb.append(\"【昨日数据】\\n\");\n        sb.append(\"- 健康评分：\").append(breakdown.totalScore).append(\"/100\\n\");\n        sb.append(\"- 运动消耗：\").append(snapshot.exerciseCalories).append(\" 千卡\\n\");\n        sb.append(\"- 饮食摄入：\").append(snapshot.dietCalories).append(\" 千卡\\n\");\n        sb.append(\"- 基础代谢：\").append(snapshot.bmr).append(\" 千卡\\n\");\n        sb.append(\"- 热量平衡：\").append(snapshot.energyBalance >= 0 ? \"+\" : \"\")\n                .append(snapshot.energyBalance).append(\" 千卡\\n\");\n        sb.append(\"- 步数：\").append(snapshot.steps).append(\"\\n\");\n        sb.append(\"- 睡眠时长：\").append(String.format(java.util.Locale.getDefault(),\n                \"%.1f\", snapshot.sleepHours)).append(\" 小时\\n\");\n        sb.append(\"- 睡眠质量：\").append(snapshot.sleepQuality).append(\"/5\\n\");\n        sb.append(\"- 饮水量：\").append(snapshot.waterMl).append(\" ml\\n\");\n        sb.append(\"- 完成计划：\").append(snapshot.completedPlans)\n                .append(\"/\").append(snapshot.totalPlans).append(\"\\n\");\n        sb.append(\"- 连续打卡：\").append(snapshot.consecutiveDays).append(\" 天\\n\");\n        sb.append(\"- 心情等级：\").append(snapshot.moodLevel).append(\"/5\\n\");\n        if (snapshot.currentPlanName != null) {\n            sb.append(\"- 当前计划：\").append(snapshot.currentPlanName).append(\"\\n\");\n        }\n\n        // 评分明细\n        sb.append(\"\\n【评分明细】\\n\");\n        sb.append(\"- 运动评分：\").append(breakdown.exerciseScore).append(\"/25\\n\");\n        sb.append(\"- 饮食评分：\").append(breakdown.dietScore).append(\"/25\\n\");\n        sb.append(\"- 习惯评分：\").append(breakdown.habitsScore).append(\"/20\\n\");\n        sb.append(\"- 身体指标评分：\").append(breakdown.bodyMetricsScore).append(\"/15\\n\");\n        sb.append(\"- 坚持度评分：\").append(breakdown.consistencyScore).append(\"/15\\n\");\n\n        // 7日趋势\n        if (trends != null && !trends.isEmpty()) {\n            sb.append(\"\\n【近7日趋势】\\n\");\n            for (WeeklyTrend trend : trends) {\n                sb.append(\"- \").append(trend.label).append(\"：\").append(trend.getChangeText()).append(\"\\n\");\n            }\n        }\n\n        sb.append(\"\\n请以JSON格式输出（仅JSON，不含markdown标记）：\\n\");\n        sb.append(\"{\\\"greeting\\\":\\\"问候语\\\",\\\"scoreComment\\\":\\\"评分评价\\\",\");\n        sb.append(\"\\\"highlights\\\":[\\\"亮点1\\\",\\\"亮点2\\\"],\");\n        sb.append(\"\\\"suggestion\\\":\\\"一条建议\\\",\\\"motivation\\\":\\\"一句鼓励\\\"}\");\n        return sb.toString();\n    }\n\n    /**\n     * 解析 AI 返回的 JSON 响应\n     *\n     * @param response AI 返回的原始字符串\n     * @return 解析成功的 DailyBriefing，失败返回 null\n     */\n    private DailyBriefing parseAiResponse(String response) {\n        if (response == null || response.trim().isEmpty()) {\n            return null;\n        }\n        try {\n            String json = response.trim();\n            // 移除可能的 markdown 代码块标记\n            if (json.startsWith(\"```\")) {\n                int start = json.indexOf('\\n');\n                if (start != -1) {\n                    json = json.substring(start + 1);\n                }\n                int end = json.lastIndexOf(\"```\");\n                if (end != -1) {\n                    json = json.substring(0, end);\n                }\n                json = json.trim();\n            }\n\n            JsonObject obj = gson.fromJson(json, JsonObject.class);\n            if (obj == null) {\n                return null;\n            }\n\n            DailyBriefing briefing = new DailyBriefing();\n            briefing.greeting = getJsonString(obj, \"greeting\");\n            briefing.scoreComment = getJsonString(obj, \"scoreComment\");\n            briefing.suggestion = getJsonString(obj, \"suggestion\");\n            briefing.motivation = getJsonString(obj, \"motivation\");\n\n            // 解析亮点列表\n            briefing.highlights = new ArrayList<>();\n            if (obj.has(\"highlights\") && obj.get(\"highlights\").isJsonArray()) {\n                JsonArray arr = obj.getAsJsonArray(\"highlights\");\n                for (int i = 0; i < arr.size(); i++) {\n                    briefing.highlights.add(arr.get(i).getAsString());\n                }\n            }\n\n            briefing.isLocal = false;\n            briefing.generatedAt = System.currentTimeMillis();\n            return briefing;\n        } catch (Exception e) {\n            return null;\n        }\n    }\n\n    /**\n     * 安全地从 JsonObject 获取字符串字段\n     */\n    private static String getJsonString(JsonObject obj, String key) {\n        if (obj.has(key) && !obj.get(key).isJsonNull()) {\n            return obj.get(key).getAsString();\n        }\n        return \"\";\n    }\n\n    /**\n     * 缓存简报数据\n     */\n    private void cacheBriefing(DailyBriefing briefing) {\n        try {\n            String json = gson.toJson(briefing);\n            prefs.edit()\n                    .putString(KEY_CACHED_BRIEFING, json)\n                    .putLong(KEY_CACHED_DATE, DateUtils.getTodayStartTimestamp())\n                    .putLong(KEY_CACHED_AT, System.currentTimeMillis())\n                    .apply();\n        } catch (Exception ignored) {\n            // 缓存失败不影响使用\n        }\n    }\n\n    /**\n     * 构建用户健康档案配置\n     */\n    private HealthScoreCalculator.UserProfile buildUserProfile() {\n        HealthScoreCalculator.UserProfile p = new HealthScoreCalculator.UserProfile();\n        try {\n            AppDatabase db = AppDatabase.getInstance(application);\n            User user = db.userDao().getUserSync();\n            if (user != null) {\n                if (user.getDailyCalorieTarget() > 0) {\n                    p.dailyCalorieTarget = user.getDailyCalorieTarget();\n                }\n                if (user.getDailyWaterTarget() > 0) {\n                    p.waterTargetMl = user.getDailyWaterTarget();\n                }\n                p.weightKg = user.getWeight();\n                p.heightCm = user.getHeight();\n                p.age = user.getAge();\n                p.gender = user.getGender() == 1 ? \"male\" : \"female\";\n                int goalType = user.getGoalType();\n                if (goalType == 0) {\n                    p.goalType = \"lose\";\n                } else if (goalType == 1) {\n                    p.goalType = \"gain\";\n                } else {\n                    p.goalType = \"maintain\";\n                }\n            }\n        } catch (Exception ignored) {\n        }\n        return p;\n    }\n\n    /**\n     * 紧急情况下的最简简报\n     */\n    private static DailyBriefing createEmergencyBriefing() {\n        DailyBriefing briefing = new DailyBriefing();\n        briefing.greeting = \"欢迎回来！\";\n        briefing.scoreComment = \"暂时无法获取评分数据\";\n        briefing.highlights = new ArrayList<>();\n        briefing.highlights.add(\"数据加载中，请稍后刷新\");\n        briefing.suggestion = \"下拉刷新页面重试\";\n        briefing.motivation = \"保持好心情，健康每一天！\";\n        briefing.isLocal = true;\n        briefing.generatedAt = System.currentTimeMillis();\n        return briefing;\n    }\n}\n"}, "c0aa34aafff3065356477d06482f6052b6e1d34f": {"t": 1785755589.7927232, "n": 14440, "h": "ef80cf5e1a73b714", "c": "package com.cz.fitnessdiary.service;\n\nimport android.app.Application;\nimport android.content.Context;\nimport android.content.SharedPreferences;\nimport android.os.Handler;\nimport android.os.Looper;\n\nimport com.cz.fitnessdiary.BuildConfig;\nimport com.cz.fitnessdiary.database.AppDatabase;\nimport com.cz.fitnessdiary.database.entity.User;\nimport com.cz.fitnessdiary.model.DailyHealthSnapshot;\nimport com.cz.fitnessdiary.model.HealthScoreBreakdown;\nimport com.cz.fitnessdiary.model.WeeklyTrend;\nimport com.cz.fitnessdiary.repository.HealthAggregationRepository;\nimport com.cz.fitnessdiary.utils.DateUtils;\nimport com.cz.fitnessdiary.utils.HealthScoreCalculator;\nimport com.google.gson.Gson;\nimport com.google.gson.JsonArray;\nimport com.google.gson.JsonObject;\nimport com.google.gson.JsonSyntaxException;\n\nimport java.util.ArrayList;\nimport java.util.List;\nimport java.util.concurrent.ExecutorService;\nimport java.util.concurrent.Executors;\n\n/**\n * AI 日报服务 - v3.0\n * 负责生成、缓存每日健康简报。\n * 优先使用 DeepSeek AI 生成，失败或未配置时降级为本地规则引擎。\n */\npublic class DailyBriefingService {\n\n    private static final String PREFS_NAME = \"daily_briefing_prefs\";\n    private static final String KEY_CACHED_BRIEFING = \"cached_briefing\";\n    private static final String KEY_CACHED_DATE = \"cached_date\";\n    private static final String KEY_CACHED_AT = \"cached_at\";\n\n    private static final long ONE_DAY_MS = 86400000L;\n\n    private final Application application;\n    private final HealthAggregationRepository aggregationRepo;\n    private final SharedPreferences prefs;\n    private final ExecutorService executor;\n    private final Handler mainHandler;\n    private final Gson gson;\n\n    /**\n     * 每日简报数据类\n     */\n    public static class DailyBriefing {\n        public String greeting;\n        public String scoreComment;\n        public List<String> highlights;\n        public String suggestion;\n        public String motivation;\n        public boolean isLocal;\n        public long generatedAt;\n\n        public DailyBriefing() {\n            this.highlights = new ArrayList<>();\n        }\n    }\n\n    /**\n     * 简报生成回调接口\n     */\n    public interface DailyBriefingCallback {\n        void onBriefingReady(DailyBriefing briefing);\n    }\n\n    public DailyBriefingService(Application application) {\n        this.application = application;\n        this.aggregationRepo = new HealthAggregationRepository(application);\n        this.prefs = application.getSharedPreferences(PREFS_NAME, Context.MODE_PRIVATE);\n        this.executor = Executors.newSingleThreadExecutor();\n        this.mainHandler = new Handler(Looper.getMainLooper());\n        this.gson = new Gson();\n    }\n\n    // ================================================================\n    // 公共 API\n    // ================================================================\n\n    /**\n     * 获取缓存的简报（仅在缓存日期为今日时有效）\n     *\n     * @return 缓存的 DailyBriefing，若无缓存或已过期则返回 null\n     */\n    public DailyBriefing getCachedBriefing() {\n        long cachedDate = prefs.getLong(KEY_CACHED_DATE, 0);\n        long today = DateUtils.getTodayStartTimestamp();\n        if (cachedDate != today) {\n            return null;\n        }\n        String json = prefs.getString(KEY_CACHED_BRIEFING, null);\n        if (json == null || json.isEmpty()) {\n            return null;\n        }\n        try {\n            return gson.fromJson(json, DailyBriefing.class);\n        } catch (JsonSyntaxException e) {\n            prefs.edit().remove(KEY_CACHED_BRIEFING).apply();\n            return null;\n        }\n    }\n\n    /**\n     * 清除缓存的简报\n     */\n    public void invalidateCache() {\n        prefs.edit()\n                .remove(KEY_CACHED_BRIEFING)\n                .remove(KEY_CACHED_DATE)\n                .remove(KEY_CACHED_AT)\n                .apply();\n    }\n\n    /**\n     * 生成今日简报（异步）\n     * <p>\n     * 流程：获取昨日数据快照 -> 评分 -> 尝试 AI 生成 -> 失败降级本地生成 -> 缓存 -> 回调\n     *\n     * @param callback 回调接口，在主线程执行\n     */\n    public void generateBriefing(DailyBriefingCallback callback) {\n        executor.execute(() -> {\n            try {\n                // 1. 获取昨日数据\n                long yesterday = DateUtils.getTodayStartTimestamp() - ONE_DAY_MS;\n                DailyHealthSnapshot snapshot = aggregationRepo.getDateSnapshot(yesterday);\n                HealthScoreCalculator.UserProfile profile = buildUserProfile();\n                HealthScoreBreakdown breakdown = HealthScoreCalculator.calculateBreakdown(snapshot, profile);\n                snapshot.healthScore = breakdown.totalScore;\n\n                // 2. 尝试 AI 生成\n                if (isApiKeyConfigured()) {\n                    callAiForBriefing(snapshot, breakdown, callback);\n                } else {\n                    // 3. 降级为本地生成\n                    DailyBriefing briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                    cacheBriefing(briefing);\n                    mainHandler.post(() -> callback.onBriefingReady(briefing));\n                }\n            } catch (Exception e) {\n                // 异常情况下生成最简简报\n                DailyBriefing fallback = createEmergencyBriefing();\n                mainHandler.post(() -> callback.onBriefingReady(fallback));\n            }\n        });\n    }\n\n    // ================================================================\n    // 内部方法\n    // ================================================================\n\n    /**\n     * 判断是否有可用的 API 密钥\n     */\n    private boolean isApiKeyConfigured() {\n        String deepseekKey = BuildConfig.DEEPSEEK_API_KEY;\n        return deepseekKey != null && !deepseekKey.isEmpty() && !deepseekKey.contains(\"YOUR_\");\n    }\n\n    /**\n     * 调用 DeepSeek AI 生成简报\n     */\n    private void callAiForBriefing(DailyHealthSnapshot snapshot,\n                                   HealthScoreBreakdown breakdown,\n                                   DailyBriefingCallback callback) {\n        List<WeeklyTrend> trends = aggregationRepo.getWeeklyTrends();\n        String userPrompt = buildUserPrompt(snapshot, breakdown, trends);\n        String systemPrompt = \"你是专业健康教练。基于用户健康数据生成今日简报。\"\n                + \"以JSON格式输出，不要包含markdown代码块标记：\"\n                + \"{\\\"greeting\\\":\\\"...\\\",\\\"scoreComment\\\":\\\"...\\\",\"\n                + \"\\\"highlights\\\":[\\\"...\\\"],\\\"suggestion\\\":\\\"...\\\",\\\"motivation\\\":\\\"...\\\"}\";\n\n        DeepSeekService.sendMessage(userPrompt, systemPrompt,\n                new AICallback() {\n                    @Override\n                    public void onSuccess(String response, String reasoning) {\n                        DailyBriefing briefing = parseAiResponse(response);\n                        if (briefing == null) {\n                            // JSON 解析失败，降级本地生成\n                            briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                        } else {\n                            briefing.isLocal = false;\n                        }\n                        cacheBriefing(briefing);\n                        callback.onBriefingReady(briefing);\n                    }\n\n                    @Override\n                    public void onError(String error) {\n                        // AI 调用失败，降级本地生成\n                        DailyBriefing briefing = LocalBriefingGenerator.generate(snapshot, breakdown);\n                        cacheBriefing(briefing);\n                        callback.onBriefingReady(briefing);\n                    }\n\n                    @Override\n                    public void onPartialUpdate(String content, String reasoning) {\n                        // 非流式模式，无需处理\n                    }\n                });\n    }\n\n    /**\n     * 构建 AI 用户 Prompt\n     */\n    private String buildUserPrompt(DailyHealthSnapshot snapshot,\n                                   HealthScoreBreakdown breakdown,\n                                   List<WeeklyTrend> trends) {\n        StringBuilder sb = new StringBuilder();\n        sb.append(\"请根据以下用户昨日健康数据生成一份简报。\\n\\n\");\n        sb.append(\"【昨日数据】\\n\");\n        sb.append(\"- 健康评分：\").append(breakdown.totalScore).append(\"/100\\n\");\n        sb.append(\"- 运动消耗：\").append(snapshot.exerciseCalories).append(\" 千卡\\n\");\n        sb.append(\"- 饮食摄入：\").append(snapshot.dietCalories).append(\" 千卡\\n\");\n        sb.append(\"- 基础代谢：\").append(snapshot.bmr).append(\" 千卡\\n\");\n        sb.append(\"- 热量平衡：\").append(snapshot.energyBalance >= 0 ? \"+\" : \"\")\n                .append(snapshot.energyBalance).append(\" 千卡\\n\");\n        sb.append(\"- 步数：\").append(snapshot.steps).append(\"\\n\");\n        sb.append(\"- 睡眠时长：\").append(String.format(java.util.Locale.getDefault(),\n                \"%.1f\", snapshot.sleepHours)).append(\" 小时\\n\");\n        sb.append(\"- 睡眠质量：\").append(snapshot.sleepQuality).append(\"/5\\n\");\n        sb.append(\"- 饮水量：\").append(snapshot.waterMl).append(\" ml\\n\");\n        sb.append(\"- 完成计划：\").append(snapshot.completedPlans)\n                .append(\"/\").append(snapshot.totalPlans).append(\"\\n\");\n        sb.append(\"- 连续打卡：\").append(snapshot.consecutiveDays).append(\" 天\\n\");\n        sb.append(\"- 心情等级：\").append(snapshot.moodLevel).append(\"/5\\n\");\n        if (snapshot.currentPlanName != null) {\n            sb.append(\"- 当前计划：\").append(snapshot.currentPlanName).append(\"\\n\");\n        }\n\n        // 评分明细\n        sb.append(\"\\n【评分明细】\\n\");\n        sb.append(\"- 运动评分：\").append(breakdown.exerciseScore).append(\"/25\\n\");\n        sb.append(\"- 饮食评分：\").append(breakdown.dietScore).append(\"/25\\n\");\n        sb.append(\"- 习惯评分：\").append(breakdown.habitsScore).append(\"/20\\n\");\n        sb.append(\"- 身体指标评分：\").append(breakdown.bodyMetricsScore).append(\"/15\\n\");\n        sb.append(\"- 坚持度评分：\").append(breakdown.consistencyScore).append(\"/15\\n\");\n\n        // 7日趋势\n        if (trends != null && !trends.isEmpty()) {\n            sb.append(\"\\n【近7日趋势】\\n\");\n            for (WeeklyTrend trend : trends) {\n                sb.append(\"- \").append(trend.label).append(\"：\").append(trend.getChangeText()).append(\"\\n\");\n            }\n        }\n\n        sb.append(\"\\n请以JSON格式输出（仅JSON，不含markdown标记）：\\n\");\n        sb.append(\"{\\\"greeting\\\":\\\"问候语\\\",\\\"scoreComment\\\":\\\"评分评价\\\",\");\n        sb.append(\"\\\"highlights\\\":[\\\"亮点1\\\",\\\"亮点2\\\"],\");\n        sb.append(\"\\\"suggestion\\\":\\\"一条建议\\\",\\\"motivation\\\":\\\"一句鼓励\\\"}\");\n        return sb.toString();\n    }\n\n    /**\n     * 解析 AI 返回的 JSON 响应\n     *\n     * @param response AI 返回的原始字符串\n     * @return 解析成功的 DailyBriefing，失败返回 null\n     */\n    private DailyBriefing parseAiResponse(String response) {\n        if (response == null || response.trim().isEmpty()) {\n            return null;\n        }\n        try {\n            String json = response.trim();\n            // 移除可能的 markdown 代码块标记\n            if (json.startsWith(\"```\")) {\n                int start = json.indexOf('\\n');\n                if (start != -1) {\n                    json = json.substring(start + 1);\n                }\n                int end = json.lastIndexOf(\"```\");\n                if (end != -1) {\n                    json = json.substring(0, end);\n                }\n                json = json.trim();\n            }\n\n            JsonObject obj = gson.fromJson(json, JsonObject.class);\n            if (obj == null) {\n                return null;\n            }\n\n            DailyBriefing briefing = new DailyBriefing();\n            briefing.greeting = getJsonString(obj, \"greeting\");\n            briefing.scoreComment = getJsonString(obj, \"scoreComment\");\n            briefing.suggestion = getJsonString(obj, \"suggestion\");\n            briefing.motivation = getJsonString(obj, \"motivation\");\n\n            // 解析亮点列表\n            briefing.highlights = new ArrayList<>();\n            if (obj.has(\"highlights\") && obj.get(\"highlights\").isJsonArray()) {\n                JsonArray arr = obj.getAsJsonArray(\"highlights\");\n                for (int i = 0; i < arr.size(); i++) {\n                    briefing.highlights.add(arr.get(i).getAsString());\n                }\n            }\n\n            briefing.isLocal = false;\n            briefing.generatedAt = System.currentTimeMillis();\n            return briefing;\n        } catch (Exception e) {\n            return null;\n        }\n    }\n\n    /**\n     * 安全地从 JsonObject 获取字符串字段\n     */\n    private static String getJsonString(JsonObject obj, String key) {\n        if (obj.has(key) && !obj.get(key).isJsonNull()) {\n            return obj.get(key).getAsString();\n        }\n        return \"\";\n    }\n\n    /**\n     * 缓存简报数据\n     */\n    private void cacheBriefing(DailyBriefing briefing) {\n        try {\n            String json = gson.toJson(briefing);\n            prefs.edit()\n                    .putString(KEY_CACHED_BRIEFING, json)\n                    .putLong(KEY_CACHED_DATE, DateUtils.getTodayStartTimestamp())\n                    .putLong(KEY_CACHED_AT, System.currentTimeMillis())\n                    .apply();\n        } catch (Exception ignored) {\n            // 缓存失败不影响使用\n        }\n    }\n\n    /**\n     * 构建用户健康档案配置\n     */\n    private HealthScoreCalculator.UserProfile buildUserProfile() {\n        HealthScoreCalculator.UserProfile p = new HealthScoreCalculator.UserProfile();\n        try {\n            AppDatabase db = AppDatabase.getInstance(application);\n            User user = db.userDao().getUserSync();\n            if (user != null) {\n                if (user.getDailyCalorieTarget() > 0) {\n                    p.dailyCalorieTarget = user.getDailyCalorieTarget();\n                }\n                if (user.getDailyWaterTarget() > 0) {\n                    p.waterTargetMl = user.getDailyWaterTarget();\n                }\n                p.weightKg = user.getWeight();\n                p.heightCm = user.getHeight();\n                p.age = user.getAge();\n                p.gender = user.getGender() == 1 ? \"male\" : \"female\";\n                int goalType = user.getGoalType();\n                if (goalType == 0) {\n                    p.goalType = \"lose\";\n                } else if (goalType == 1) {\n                    p.goalType = \"gain\";\n                } else {\n                    p.goalType = \"maintain\";\n                }\n            }\n        } catch (Exception ignored) {\n        }\n        return p;\n    }\n\n    /**\n     * 紧急情况下的最简简报\n     */\n    private static DailyBriefing createEmergencyBriefing() {\n        DailyBriefing briefing = new DailyBriefing();\n        briefing.greeting = \"欢迎回来！\";\n        briefing.scoreComment = \"暂时无法获取评分数据\";\n        briefing.highlights = new ArrayList<>();\n        briefing.highlights.add(\"数据加载中，请稍后刷新\");\n        briefing.suggestion = \"下拉刷新页面重试\";\n        briefing.motivation = \"保持好心情，健康每一天！\";\n        briefing.isLocal = true;\n        briefing.generatedAt = System.currentTimeMillis();\n        return briefing;\n    }\n}\n"}}, "app/src/main/java/com/cz/fitnessdiary/service/DeepSeekService.kt": {"a8e4b93c9016240a60acf90e1d181be631703401": {"t": 1785745733.874441, "n": 5441, "h": "a51c565bca591d86", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.cz.fitnessdiary.database.entity.ChatMessageEntity\nimport com.google.gson.Gson\nimport com.google.gson.JsonArray\nimport com.google.gson.JsonObject\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.OkHttpClient\nimport okhttp3.Request\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport java.util.concurrent.TimeUnit\n\n/** Direct DeepSeek client for a private, single-user APK. */\nobject DeepSeekService {\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, TimeUnit.SECONDS)\n        .readTimeout(60, TimeUnit.SECONDS)\n        .writeTimeout(60, TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n\n    @JvmStatic\n    fun sendMessage(message: String, systemInstruction: String?, callback: AICallback) {\n        sendMessage(message, systemInstruction, false, null, callback)\n    }\n\n    @JvmStatic\n    fun sendMessage(\n        message: String,\n        systemInstruction: String?,\n        thinking: Boolean,\n        history: List<ChatMessageEntity>?,\n        callback: AICallback\n    ) {\n        sendMessageWithPolicy(\n            message,\n            systemInstruction,\n            thinking,\n            history,\n            false,\n            callback\n        )\n    }\n\n    @JvmStatic\n    fun sendMessageWithPolicy(\n        message: String,\n        systemInstruction: String?,\n        thinking: Boolean,\n        history: List<ChatMessageEntity>?,\n        structuredJson: Boolean,\n        callback: AICallback\n    ) {\n        scope.launch {\n            if (BuildConfig.DEEPSEEK_API_KEY.isBlank()) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"未配置 DeepSeek 本地密钥，请检查 local.properties\")\n                }\n                return@launch\n            }\n            try {\n                val messages = JsonArray()\n                messages.add(JsonObject().apply {\n                    addProperty(\"role\", \"system\")\n                    addProperty(\"content\", systemInstruction ?: DEFAULT_SYSTEM_PROMPT)\n                })\n                history?.forEach { item ->\n                    messages.add(JsonObject().apply {\n                        addProperty(\"role\", if (item.isUser) \"user\" else \"assistant\")\n                        addProperty(\"content\", item.content ?: \"\")\n                    })\n                }\n                messages.add(JsonObject().apply {\n                    addProperty(\"role\", \"user\")\n                    addProperty(\"content\", message)\n                })\n\n                val requestJson = JsonObject().apply {\n                    addProperty(\"model\", if (thinking) \"deepseek-v4-pro\" else \"deepseek-v4-flash\")\n                    add(\"messages\", messages)\n                    addProperty(\"stream\", false)\n                    if (thinking) {\n                        add(\"thinking\", JsonObject().apply { addProperty(\"type\", \"enabled\") })\n                    }\n                    if (structuredJson) {\n                        add(\"response_format\", JsonObject().apply {\n                            addProperty(\"type\", \"json_object\")\n                        })\n                    }\n                }\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .header(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .header(\"Content-Type\", \"application/json\")\n                    .post(gson.toJson(requestJson).toRequestBody(\"application/json\".toMediaType()))\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    val responseText = response.body?.string().orEmpty()\n                    if (!response.isSuccessful) {\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 请求失败（HTTP ${response.code}）\")\n                        }\n                        return@launch\n                    }\n                    val root = gson.fromJson(responseText, JsonObject::class.java)\n                    val choice = root.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObject = choice?.getAsJsonObject(\"message\")\n                    val content = messageObject?.get(\"content\")?.asString.orEmpty()\n                    val reasoning = messageObject?.get(\"reasoning_content\")?.asString\n                    val usage = root.getAsJsonObject(\"usage\")\n                    AiUsageStore.record(\n                        \"DeepSeek\",\n                        usage?.get(\"prompt_tokens\")?.asInt ?: 0,\n                        usage?.get(\"completion_tokens\")?.asInt ?: 0,\n                        usage?.get(\"prompt_cache_hit_tokens\")?.asInt ?: 0\n                    )\n                    withContext(Dispatchers.Main) { callback.onSuccess(content, reasoning) }\n                }\n            } catch (error: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败，请稍后重试\")\n                }\n            }\n        }\n    }\n\n    private const val DEFAULT_SYSTEM_PROMPT =\n        \"你是 FitnessDiary 的中文健身与营养助手，请简洁、准确地回答。\"\n}\n"}, "78338a0d09d172d26fe707da954511afb4f2d5c1": {"t": 1785755588.6194448, "n": 5441, "h": "a51c565bca591d86", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.cz.fitnessdiary.database.entity.ChatMessageEntity\nimport com.google.gson.Gson\nimport com.google.gson.JsonArray\nimport com.google.gson.JsonObject\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.OkHttpClient\nimport okhttp3.Request\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport java.util.concurrent.TimeUnit\n\n/** Direct DeepSeek client for a private, single-user APK. */\nobject DeepSeekService {\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, TimeUnit.SECONDS)\n        .readTimeout(60, TimeUnit.SECONDS)\n        .writeTimeout(60, TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n\n    @JvmStatic\n    fun sendMessage(message: String, systemInstruction: String?, callback: AICallback) {\n        sendMessage(message, systemInstruction, false, null, callback)\n    }\n\n    @JvmStatic\n    fun sendMessage(\n        message: String,\n        systemInstruction: String?,\n        thinking: Boolean,\n        history: List<ChatMessageEntity>?,\n        callback: AICallback\n    ) {\n        sendMessageWithPolicy(\n            message,\n            systemInstruction,\n            thinking,\n            history,\n            false,\n            callback\n        )\n    }\n\n    @JvmStatic\n    fun sendMessageWithPolicy(\n        message: String,\n        systemInstruction: String?,\n        thinking: Boolean,\n        history: List<ChatMessageEntity>?,\n        structuredJson: Boolean,\n        callback: AICallback\n    ) {\n        scope.launch {\n            if (BuildConfig.DEEPSEEK_API_KEY.isBlank()) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"未配置 DeepSeek 本地密钥，请检查 local.properties\")\n                }\n                return@launch\n            }\n            try {\n                val messages = JsonArray()\n                messages.add(JsonObject().apply {\n                    addProperty(\"role\", \"system\")\n                    addProperty(\"content\", systemInstruction ?: DEFAULT_SYSTEM_PROMPT)\n                })\n                history?.forEach { item ->\n                    messages.add(JsonObject().apply {\n                        addProperty(\"role\", if (item.isUser) \"user\" else \"assistant\")\n                        addProperty(\"content\", item.content ?: \"\")\n                    })\n                }\n                messages.add(JsonObject().apply {\n                    addProperty(\"role\", \"user\")\n                    addProperty(\"content\", message)\n                })\n\n                val requestJson = JsonObject().apply {\n                    addProperty(\"model\", if (thinking) \"deepseek-v4-pro\" else \"deepseek-v4-flash\")\n                    add(\"messages\", messages)\n                    addProperty(\"stream\", false)\n                    if (thinking) {\n                        add(\"thinking\", JsonObject().apply { addProperty(\"type\", \"enabled\") })\n                    }\n                    if (structuredJson) {\n                        add(\"response_format\", JsonObject().apply {\n                            addProperty(\"type\", \"json_object\")\n                        })\n                    }\n                }\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .header(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .header(\"Content-Type\", \"application/json\")\n                    .post(gson.toJson(requestJson).toRequestBody(\"application/json\".toMediaType()))\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    val responseText = response.body?.string().orEmpty()\n                    if (!response.isSuccessful) {\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 请求失败（HTTP ${response.code}）\")\n                        }\n                        return@launch\n                    }\n                    val root = gson.fromJson(responseText, JsonObject::class.java)\n                    val choice = root.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObject = choice?.getAsJsonObject(\"message\")\n                    val content = messageObject?.get(\"content\")?.asString.orEmpty()\n                    val reasoning = messageObject?.get(\"reasoning_content\")?.asString\n                    val usage = root.getAsJsonObject(\"usage\")\n                    AiUsageStore.record(\n                        \"DeepSeek\",\n                        usage?.get(\"prompt_tokens\")?.asInt ?: 0,\n                        usage?.get(\"completion_tokens\")?.asInt ?: 0,\n                        usage?.get(\"prompt_cache_hit_tokens\")?.asInt ?: 0\n                    )\n                    withContext(Dispatchers.Main) { callback.onSuccess(content, reasoning) }\n                }\n            } catch (error: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败，请稍后重试\")\n                }\n            }\n        }\n    }\n\n    private const val DEFAULT_SYSTEM_PROMPT =\n        \"你是 FitnessDiary 的中文健身与营养助手，请简洁、准确地回答。\"\n}\n"}, "dc45b9ee10095ebcd3ecd5d961611fc04610a812": {"t": 1785755589.9393427, "n": 5803, "h": "707213d9f7a5a4d8", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.cz.fitnessdiary.database.entity.ChatMessageEntity\nimport com.google.gson.Gson\nimport com.google.gson.JsonArray\nimport com.google.gson.JsonObject\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.OkHttpClient\nimport okhttp3.Request\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport java.util.concurrent.TimeUnit\n\n/** Direct DeepSeek client for a private, single-user APK. */\nobject DeepSeekService {\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, TimeUnit.SECONDS)\n        .readTimeout(60, TimeUnit.SECONDS)\n        .writeTimeout(60, TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n\n    @JvmStatic\n    fun sendMessage(message: String, systemInstruction: String?, callback: AICallback) {\n        sendMessage(message, systemInstruction, false, null, callback)\n    }\n\n    @JvmStatic\n    fun sendMessage(\n        message: String,\n        systemInstruction: String?,\n        thinking: Boolean,\n        history: List<ChatMessageEntity>?,\n        callback: AICallback\n    ) {\n        sendMessageWithPolicy(\n            message,\n            systemInstruction,\n            thinking,\n            history,\n            if (thinking) AiRequestPolicy.DEEP_THINKING_MAX_COMPLETION_TOKENS\n            else AiRequestPolicy.ADVICE_MAX_COMPLETION_TOKENS,\n            false,\n            callback\n        )\n    }\n\n    @JvmStatic\n    fun sendMessageWithPolicy(\n        message: String,\n        systemInstruction: String?,\n        thinking: Boolean,\n        history: List<ChatMessageEntity>?,\n        maxCompletionTokens: Int,\n        structuredJson: Boolean,\n        callback: AICallback\n    ) {\n        scope.launch {\n            if (BuildConfig.DEEPSEEK_API_KEY.isBlank()) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"未配置 DeepSeek 本地密钥，请检查 local.properties\")\n                }\n                return@launch\n            }\n            try {\n                val messages = JsonArray()\n                messages.add(JsonObject().apply {\n                    addProperty(\"role\", \"system\")\n                    addProperty(\"content\", systemInstruction ?: DEFAULT_SYSTEM_PROMPT)\n                })\n                history?.takeLast(AiRequestPolicy.CHAT_MAX_HISTORY_MESSAGES)?.forEach { item ->\n                    messages.add(JsonObject().apply {\n                        addProperty(\"role\", if (item.isUser) \"user\" else \"assistant\")\n                        addProperty(\"content\", item.content?.take(700) ?: \"\")\n                    })\n                }\n                messages.add(JsonObject().apply {\n                    addProperty(\"role\", \"user\")\n                    addProperty(\"content\", message.take(AiRequestPolicy.CHAT_MAX_HISTORY_CHARS))\n                })\n\n                val requestJson = JsonObject().apply {\n                    addProperty(\"model\", if (thinking) \"deepseek-v4-pro\" else \"deepseek-v4-flash\")\n                    add(\"messages\", messages)\n                    addProperty(\"max_completion_tokens\", maxCompletionTokens)\n                    addProperty(\"stream\", false)\n                    if (thinking) {\n                        add(\"thinking\", JsonObject().apply { addProperty(\"type\", \"enabled\") })\n                    }\n                    if (structuredJson) {\n                        add(\"response_format\", JsonObject().apply {\n                            addProperty(\"type\", \"json_object\")\n                        })\n                    }\n                }\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .header(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .header(\"Content-Type\", \"application/json\")\n                    .post(gson.toJson(requestJson).toRequestBody(\"application/json\".toMediaType()))\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    val responseText = response.body?.string().orEmpty()\n                    if (!response.isSuccessful) {\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 请求失败（HTTP ${response.code}）\")\n                        }\n                        return@launch\n                    }\n                    val root = gson.fromJson(responseText, JsonObject::class.java)\n                    val choice = root.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObject = choice?.getAsJsonObject(\"message\")\n                    val content = messageObject?.get(\"content\")?.asString.orEmpty()\n                    val reasoning = messageObject?.get(\"reasoning_content\")?.asString\n                    val usage = root.getAsJsonObject(\"usage\")\n                    AiUsageStore.record(\n                        \"DeepSeek\",\n                        usage?.get(\"prompt_tokens\")?.asInt ?: 0,\n                        usage?.get(\"completion_tokens\")?.asInt ?: 0,\n                        usage?.get(\"prompt_cache_hit_tokens\")?.asInt ?: 0\n                    )\n                    withContext(Dispatchers.Main) { callback.onSuccess(content, reasoning) }\n                }\n            } catch (error: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败，请稍后重试\")\n                }\n            }\n        }\n    }\n\n    private const val DEFAULT_SYSTEM_PROMPT =\n        \"你是 FitnessDiary 的中文健身与营养助手，请简洁、准确地回答。\"\n}\n"}, "ba7a65ca90969e594d27ac21016ec16c8cd3acfc": {"t": 1785755591.5150433, "n": 4777, "h": "b75346ca025062ed", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.cz.fitnessdiary.database.entity.ChatMessageEntity\nimport com.google.gson.Gson\nimport com.google.gson.JsonObject\nimport com.google.gson.JsonArray\nimport okhttp3.*\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\n\n/**\n * DeepSeek AI 服务 - 标准 OpenAI 接口实现\n * 已升级至 DeepSeek-V4 系列：deepseek-v4-pro (深度推理) 与 deepseek-v4-flash (极速)\n * 适配 2026 年官方模型退休节点，提升时效与响应表现。\n */\nobject DeepSeekService {\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .readTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .writeTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n\n    /**\n     * 发送消息（带对话历史）\n     * @param message 当前用户消息\n     * @param systemInstruction 系统指令\n     * @param thinking 是否使用 DeepSeek-V4-Pro 推理模型\n     * @param history 历史消息列表（已按时间排序, 最旧在前）\n     * @param callback 回调接口\n     */\n    @JvmStatic\n    @JvmOverloads\n    fun sendMessage(\n        message: String,\n        systemInstruction: String? = null,\n        thinking: Boolean = false,\n        history: List<ChatMessageEntity>? = null,\n        callback: AICallback\n    ) {\n        scope.launch {\n            try {\n                // 升级为最新的 V4 API，防止 2026年7月 旧版 API 彻底退休下线\n                val modelName = if (thinking) \"deepseek-v4-pro\" else \"deepseek-v4-flash\"\n                val finalSystemPrompt = systemInstruction ?: \"你是健身日记（FitnessDiary）应用的 AI 助手，身份是一位专业的健身教练和营养师。\" +\n                        \"在回答食物营养价值时，请务必以 ### [食物名] 开头，并明确列出 [热量]、[蛋白质]、[碳水] 等数值（以每100g为标准）。\" +\n                        \"请始终使用中文回答。\"\n\n                val messagesArray = JsonArray().apply {\n                    // 1. 系统指令\n                    add(JsonObject().apply {\n                        addProperty(\"role\", \"system\")\n                        addProperty(\"content\", finalSystemPrompt)\n                    })\n                    // 2. 历史对话（仅内容摘要，减少 token）\n                    history?.forEach { msg ->\n                        add(JsonObject().apply {\n                            addProperty(\"role\", if (msg.isUser) \"user\" else \"assistant\")\n                            addProperty(\"content\", msg.content ?: \"\")\n                        })\n                    }\n                    // 3. 当前用户消息\n                    add(JsonObject().apply {\n                        addProperty(\"role\", \"user\")\n                        addProperty(\"content\", message)\n                    })\n                }\n\n                val jsonRequest = JsonObject().apply {\n                    addProperty(\"model\", modelName)\n                    add(\"messages\", messagesArray)\n                    addProperty(\"stream\", false)\n                }\n\n                val body = gson.toJson(jsonRequest).toRequestBody(\"application/json\".toMediaType())\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .addHeader(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .post(body)\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    if (!response.isSuccessful) {\n                        val errorBody = response.body?.string()\n                        android.util.Log.e(\"DeepSeekService\", \"API Error: ${response.code} $errorBody\")\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 错误: ${response.code} ${response.message}\")\n                        }\n                        return@launch\n                    }\n\n                    val responseBody = response.body?.string() ?: \"\"\n                    val jsonResponse = gson.fromJson(responseBody, JsonObject::class.java)\n                    val choice = jsonResponse.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObj = choice?.getAsJsonObject(\"message\")\n\n                    val content = messageObj?.get(\"content\")?.asString ?: \"\"\n                    val reasoning = messageObj?.get(\"reasoning_content\")?.asString\n\n                    withContext(Dispatchers.Main) {\n                        callback.onSuccess(content, reasoning)\n                    }\n                }\n            } catch (e: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败: ${e.message}\")\n                }\n            }\n        }\n    }\n}\n"}, "5889735ef255238396defe7c858accf5b254a516": {"t": 1785755592.7535744, "n": 4634, "h": "9ed10abae77572b8", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.cz.fitnessdiary.database.entity.ChatMessageEntity\nimport com.google.gson.Gson\nimport com.google.gson.JsonObject\nimport com.google.gson.JsonArray\nimport okhttp3.*\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\n\n/**\n * DeepSeek AI 服务 - 标准 OpenAI 接口实现\n * 支持携带对话历史以实现上下文记忆\n */\nobject DeepSeekService {\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .readTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .writeTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n\n    /**\n     * 发送消息（带对话历史）\n     * @param message 当前用户消息\n     * @param systemInstruction 系统指令\n     * @param thinking 是否使用 DeepSeek Reasoner 模型\n     * @param history 历史消息列表（已按时间排序, 最旧在前）\n     * @param callback 回调接口\n     */\n    @JvmStatic\n    @JvmOverloads\n    fun sendMessage(\n        message: String,\n        systemInstruction: String? = null,\n        thinking: Boolean = false,\n        history: List<ChatMessageEntity>? = null,\n        callback: AICallback\n    ) {\n        scope.launch {\n            try {\n                val modelName = if (thinking) \"deepseek-reasoner\" else \"deepseek-chat\"\n                val finalSystemPrompt = systemInstruction ?: \"你是健身日记（FitnessDiary）应用的 AI 助手，身份是一位专业的健身教练和营养师。\" +\n                        \"在回答食物营养价值时，请务必以 ### [食物名] 开头，并明确列出 [热量]、[蛋白质]、[碳水] 等数值（以每100g为标准）。\" +\n                        \"请始终使用中文回答。\"\n\n                val messagesArray = JsonArray().apply {\n                    // 1. 系统指令\n                    add(JsonObject().apply {\n                        addProperty(\"role\", \"system\")\n                        addProperty(\"content\", finalSystemPrompt)\n                    })\n                    // 2. 历史对话（仅内容摘要，减少 token）\n                    history?.forEach { msg ->\n                        add(JsonObject().apply {\n                            addProperty(\"role\", if (msg.isUser) \"user\" else \"assistant\")\n                            addProperty(\"content\", msg.content ?: \"\")\n                        })\n                    }\n                    // 3. 当前用户消息\n                    add(JsonObject().apply {\n                        addProperty(\"role\", \"user\")\n                        addProperty(\"content\", message)\n                    })\n                }\n\n                val jsonRequest = JsonObject().apply {\n                    addProperty(\"model\", modelName)\n                    add(\"messages\", messagesArray)\n                    addProperty(\"stream\", false)\n                }\n\n                val body = gson.toJson(jsonRequest).toRequestBody(\"application/json\".toMediaType())\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .addHeader(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .post(body)\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    if (!response.isSuccessful) {\n                        val errorBody = response.body?.string()\n                        android.util.Log.e(\"DeepSeekService\", \"API Error: ${response.code} $errorBody\")\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 错误: ${response.code} ${response.message}\")\n                        }\n                        return@launch\n                    }\n\n                    val responseBody = response.body?.string() ?: \"\"\n                    val jsonResponse = gson.fromJson(responseBody, JsonObject::class.java)\n                    val choice = jsonResponse.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObj = choice?.getAsJsonObject(\"message\")\n\n                    val content = messageObj?.get(\"content\")?.asString ?: \"\"\n                    val reasoning = messageObj?.get(\"reasoning_content\")?.asString\n\n                    withContext(Dispatchers.Main) {\n                        callback.onSuccess(content, reasoning)\n                    }\n                }\n            } catch (e: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败: ${e.message}\")\n                }\n            }\n        }\n    }\n}\n"}, "1f039434b1e759cce552ffa50cc938810b777130": {"t": 1785755594.2938151, "n": 4681, "h": "347a453f5c1c3398", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.cz.fitnessdiary.database.entity.ChatMessageEntity\nimport com.google.gson.Gson\nimport com.google.gson.JsonObject\nimport com.google.gson.JsonArray\nimport okhttp3.*\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport java.io.IOException\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\n\n/**\n * DeepSeek AI 服务 - 标准 OpenAI 接口实现\n * 支持携带对话历史以实现上下文记忆\n */\nobject DeepSeekService {\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .readTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .writeTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n\n    /**\n     * 发送消息（带对话历史）\n     * @param message 当前用户消息\n     * @param systemInstruction 系统指令\n     * @param thinking 是否使用 DeepSeek Reasoner 模型\n     * @param history 历史消息列表（已按时间排序, 最旧在前）\n     * @param callback 回调接口\n     */\n    @JvmStatic\n    @JvmOverloads\n    fun sendMessage(\n        message: String,\n        systemInstruction: String? = null,\n        thinking: Boolean = false,\n        history: List<ChatMessageEntity>? = null,\n        callback: AICallback\n    ) {\n        scope.launch {\n            try {\n                val modelName = if (thinking) \"deepseek-reasoner\" else \"deepseek-chat\"\n                val finalSystemPrompt = systemInstruction ?: \"你是健身日记（FitnessDiary）应用的 AI 助手，身份是一位专业的健身教练和营养师。\" +\n                        \"在回答食物营养价值时，请务必以 ### [食物名] 开头，并明确列出 [热量]、[蛋白质]、[碳水] 等数值（以每100g为标准）。\" +\n                        \"请始终使用中文回答。\"\n\n                val messagesArray = JsonArray().apply {\n                    // 1. 系统指令\n                    add(JsonObject().apply {\n                        addProperty(\"role\", \"system\")\n                        addProperty(\"content\", finalSystemPrompt)\n                    })\n                    // 2. 历史对话（仅内容摘要，减少 token）\n                    history?.forEach { msg ->\n                        add(JsonObject().apply {\n                            addProperty(\"role\", if (msg.isUser) \"user\" else \"assistant\")\n                            addProperty(\"content\", msg.content ?: \"\")\n                        })\n                    }\n                    // 3. 当前用户消息\n                    add(JsonObject().apply {\n                        addProperty(\"role\", \"user\")\n                        addProperty(\"content\", message)\n                    })\n                }\n\n                val jsonRequest = JsonObject().apply {\n                    addProperty(\"model\", modelName)\n                    add(\"messages\", messagesArray)\n                    addProperty(\"stream\", false)\n                }\n\n                val body = gson.toJson(jsonRequest).toRequestBody(\"application/json\".toMediaType())\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .addHeader(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .post(body)\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    if (!response.isSuccessful) {\n                        val errorBody = response.body?.string()\n                        android.util.Log.e(\"DeepSeekService\", \"API Error: ${response.code} $errorBody\")\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 错误: ${response.code} ${response.message}\")\n                        }\n                        return@launch\n                    }\n\n                    val responseBody = response.body?.string() ?: \"\"\n                    val jsonResponse = gson.fromJson(responseBody, JsonObject::class.java)\n                    val choice = jsonResponse.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObj = choice?.getAsJsonObject(\"message\")\n                    \n                    val content = messageObj?.get(\"content\")?.asString ?: \"\"\n                    val reasoning = messageObj?.get(\"reasoning_content\")?.asString\n\n                    withContext(Dispatchers.Main) {\n                        callback.onSuccess(content, reasoning)\n                    }\n                }\n            } catch (e: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败: ${e.message}\")\n                }\n            }\n        }\n    }\n}\n"}, "cee9b66fe64f40110a01cff9cf7fd4b0e9b03d24": {"t": 1785755596.1297743, "n": 3862, "h": "618d785d5680a7e2", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.google.gson.Gson\nimport com.google.gson.JsonObject\nimport com.google.gson.JsonArray\nimport okhttp3.*\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport java.io.IOException\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\n\n/**\n * DeepSeek AI 服务 - 标准 OpenAI 接口实现\n */\nobject DeepSeekService {\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .readTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .writeTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n\n    @JvmStatic\n    @JvmOverloads\n    fun sendMessage(message: String, systemInstruction: String? = null, thinking: Boolean = false, callback: AICallback) {\n        scope.launch {\n            try {\n                val modelName = if (thinking) \"deepseek-reasoner\" else \"deepseek-chat\"\n                val finalSystemPrompt = systemInstruction ?: \"你是健身日记（FitnessDiary）应用的 AI 助手，身份是一位专业的健身教练和营养师。\" +\n                        \"在回答食物营养价值时，请务必以 ### [食物名] 开头，并明确列出 [热量]、[蛋白质]、[碳水] 等数值（以每100g为标准）。\" +\n                        \"请始终使用中文回答。\"\n\n                val jsonRequest = JsonObject().apply {\n                    addProperty(\"model\", modelName)\n                    add(\"messages\", JsonArray().apply {\n                        add(JsonObject().apply {\n                            addProperty(\"role\", \"system\")\n                            addProperty(\"content\", finalSystemPrompt)\n                        })\n                        add(JsonObject().apply {\n                            addProperty(\"role\", \"user\")\n                            addProperty(\"content\", message)\n                        })\n                    })\n                    addProperty(\"stream\", false)\n                }\n\n                val body = gson.toJson(jsonRequest).toRequestBody(\"application/json\".toMediaType())\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .addHeader(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .post(body)\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    if (!response.isSuccessful) {\n                        val errorBody = response.body?.string()\n                        android.util.Log.e(\"DeepSeekService\", \"API Error: ${response.code} $errorBody\")\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 错误: ${response.code} ${response.message}\")\n                        }\n                        return@launch\n                    }\n\n                    val responseBody = response.body?.string() ?: \"\"\n                    val jsonResponse = gson.fromJson(responseBody, JsonObject::class.java)\n                    val choice = jsonResponse.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObj = choice?.getAsJsonObject(\"message\")\n                    \n                    val content = messageObj?.get(\"content\")?.asString ?: \"\"\n                    val reasoning = messageObj?.get(\"reasoning_content\")?.asString\n\n                    withContext(Dispatchers.Main) {\n                        callback.onSuccess(content, reasoning)\n                    }\n                }\n            } catch (e: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败: ${e.message}\")\n                }\n            }\n        }\n    }\n}\n"}, "be6ee3ea60ff1b5c1dd6bbc0488299a0651ff919": {"t": 1785755597.412065, "n": 3880, "h": "3b47cd6ff091360c", "c": "package com.cz.fitnessdiary.service\n\nimport com.cz.fitnessdiary.BuildConfig\nimport com.google.gson.Gson\nimport com.google.gson.JsonObject\nimport com.google.gson.JsonArray\nimport okhttp3.*\nimport okhttp3.MediaType.Companion.toMediaType\nimport okhttp3.RequestBody.Companion.toRequestBody\nimport java.io.IOException\nimport kotlinx.coroutines.CoroutineScope\nimport kotlinx.coroutines.Dispatchers\nimport kotlinx.coroutines.launch\nimport kotlinx.coroutines.withContext\n\n/**\n * DeepSeek AI 服务 - 标准 OpenAI 接口实现\n */\nobject DeepSeekService {\n    private val client = OkHttpClient.Builder()\n        .connectTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .readTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .writeTimeout(60, java.util.concurrent.TimeUnit.SECONDS)\n        .build()\n    private val gson = Gson()\n    private val scope = CoroutineScope(Dispatchers.IO)\n    private const val API_URL = \"https://api.deepseek.com/chat/completions\"\n\n    @JvmStatic\n    @JvmOverloads\n    fun sendMessage(message: String, systemInstruction: String? = null, thinking: Boolean = false, callback: GeminiService.GeminiCallback) {\n        scope.launch {\n            try {\n                val modelName = if (thinking) \"deepseek-reasoner\" else \"deepseek-chat\"\n                val finalSystemPrompt = systemInstruction ?: \"你是健身日记（FitnessDiary）应用的 AI 助手，身份是一位专业的健身教练和营养师。\" +\n                        \"在回答食物营养价值时，请务必以 ### [食物名] 开头，并明确列出 [热量]、[蛋白质]、[碳水] 等数值（以每100g为标准）。\" +\n                        \"请始终使用中文回答。\"\n\n                val jsonRequest = JsonObject().apply {\n                    addProperty(\"model\", modelName)\n                    add(\"messages\", JsonArray().apply {\n                        add(JsonObject().apply {\n                            addProperty(\"role\", \"system\")\n                            addProperty(\"content\", finalSystemPrompt)\n                        })\n                        add(JsonObject().apply {\n                            addProperty(\"role\", \"user\")\n                            addProperty(\"content\", message)\n                        })\n                    })\n                    addProperty(\"stream\", false)\n                }\n\n                val body = gson.toJson(jsonRequest).toRequestBody(\"application/json\".toMediaType())\n                val request = Request.Builder()\n                    .url(API_URL)\n                    .addHeader(\"Authorization\", \"Bearer ${BuildConfig.DEEPSEEK_API_KEY}\")\n                    .post(body)\n                    .build()\n\n                client.newCall(request).execute().use { response ->\n                    if (!response.isSuccessful) {\n                        val errorBody = response.body?.string()\n                        android.util.Log.e(\"DeepSeekService\", \"API Error: ${response.code} $errorBody\")\n                        withContext(Dispatchers.Main) {\n                            callback.onError(\"DeepSeek 错误: ${response.code} ${response.message}\")\n                        }\n                        return@launch\n                    }\n\n                    val responseBody = response.body?.string() ?: \"\"\n                    val jsonResponse = gson.fromJson(responseBody, JsonObject::class.java)\n                    val choice = jsonResponse.getAsJsonArray(\"choices\")?.get(0)?.asJsonObject\n                    val messageObj = choice?.getAsJsonObject(\"message\")\n                    \n                    val content = messageObj?.get(\"content\")?.asString ?: \"\"\n                    val reasoning = messageObj?.get(\"reasoning_content\")?.asString\n\n                    withContext(Dispatchers.Main) {\n                        callback.onSuccess(content, reasoning)\n                    }\n                }\n            } catch (e: Exception) {\n                withContext(Dispatchers.Main) {\n                    callback.onError(\"DeepSeek 连接失败: ${e.message}\")\n                }\n            }\n        }\n    }\n}\n"}}}}