hack/tools/scripts/llm-key-hunter/results/_cache/content/231250047_tomatomall.json

{"repo": "231250047/tomatomall", "files": {"tomatoMall-backend/src/main/java/com/example/tomatomall/service/serviceImpl/DeepSeekServiceImpl.java": {"a83c1668fd972b00cc55d7199260c3052619e6c3": {"t": 1785746131.7001615, "n": 7708, "h": "a26fcd8036738cdb", "c": "package com.example.tomatomall.service.serviceImpl;\n\nimport com.example.tomatomall.service.DeepSeekService;\nimport com.fasterxml.jackson.annotation.JsonInclude;\nimport com.fasterxml.jackson.annotation.JsonProperty;\nimport com.fasterxml.jackson.databind.ObjectMapper;\nimport lombok.Data;\nimport lombok.RequiredArgsConstructor;\nimport lombok.extern.slf4j.Slf4j;\nimport org.springframework.beans.factory.annotation.Value;\nimport org.springframework.http.*;\nimport org.springframework.stereotype.Service;\nimport org.springframework.web.client.RestTemplate;\n\nimport java.util.ArrayList;\nimport java.util.List;\n\n/**\n * DeepSeek API直接调用实现\n * 不依赖Spring AI的OpenAI适配器\n */\n@Slf4j\n@Service\npublic class DeepSeekServiceImpl implements DeepSeekService {\n\n    @Value(\"${spring.ai.openai.api-key}\")\n    private String apiKey;\n\n    private static final String API_URL = \"https://api.deepseek.com/v1/chat/completions\";\n    private static final String MODEL = \"deepseek-chat\";\n\n    private final RestTemplate restTemplate = new RestTemplate();\n\n    // 配置ObjectMapper忽略未知字段\n    private final ObjectMapper objectMapper = new ObjectMapper() {{\n        configure(com.fasterxml.jackson.databind.DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);\n    }};\n\n    @Override\n    public String chat(String message) {\n        log.info(\"╔════════════════════════════════════════════════════════════╗\");\n        log.info(\"║           💬 DeepSeek直接调用（简单对话）                    ║\");\n        log.info(\"╚════════════════════════════════════════════════════════════╝\");\n        log.info(\"📝 用户消息: {}\", message);\n        log.info(\"🔗 API URL: {}\", API_URL);\n        log.info(\"🤖 模型: {}\", MODEL);\n\n        try {\n            // 构建请求体\n            ChatRequest request = new ChatRequest();\n            request.model = MODEL;\n            request.messages = new ArrayList<>();\n            request.messages.add(new Message(\"user\", message));\n            request.max_tokens = 2000;\n            request.temperature = 0.7;\n\n            // 发送请求\n            String responseJson = sendRequest(request);\n\n            // 解析响应\n            ChatResponse response = objectMapper.readValue(responseJson, ChatResponse.class);\n\n            if (response.choices == null || response.choices.isEmpty()) {\n                throw new RuntimeException(\"DeepSeek返回空响应\");\n            }\n\n            String content = response.choices.get(0).message.content;\n            log.info(\"✅ DeepSeek调用成功\");\n            log.info(\"🤖 AI回复: {}\", content);\n            log.info(\"╚════════════════════════════════════════════════════════════╝\");\n\n            return content;\n\n        } catch (Exception e) {\n            log.error(\"╔════════════════════════════════════════════════════════════╗\");\n            log.error(\"║           ❌ DeepSeek调用失败                               ║\");\n            log.error(\"╚════════════════════════════════════════════════════════════╝\");\n            log.error(\"❌ 错误类型: {}\", e.getClass().getName());\n            log.error(\"❌ 错误消息: {}\", e.getMessage());\n            log.error(\"❌ 堆栈跟踪:\", e);\n            throw new RuntimeException(\"DeepSeek调用失败: \" + e.getMessage(), e);\n        }\n    }\n\n    @Override\n    public String chatWithPrompt(String prompt) {\n        log.info(\"╔════════════════════════════════════════════════════════════╗\");\n        log.info(\"║           💬 DeepSeek直接调用（带Prompt）                   ║\");\n        log.info(\"╚════════════════════════════════════════════════════════════╝\");\n        log.info(\"📝 Prompt长度: {} 字符\", prompt.length());\n        log.info(\"🔗 API URL: {}\", API_URL);\n        log.info(\"🤖 模型: {}\", MODEL);\n\n        try {\n            // 构建请求体\n            ChatRequest request = new ChatRequest();\n            request.model = MODEL;\n            request.messages = new ArrayList<>();\n            request.messages.add(new Message(\"user\", prompt));\n            request.max_tokens = 2000;\n            request.temperature = 0.7;\n\n            // 发送请求\n            String responseJson = sendRequest(request);\n\n            // 解析响应\n            ChatResponse response = objectMapper.readValue(responseJson, ChatResponse.class);\n\n            if (response.choices == null || response.choices.isEmpty()) {\n                throw new RuntimeException(\"DeepSeek返回空响应\");\n            }\n\n            String content = response.choices.get(0).message.content;\n            log.info(\"✅ DeepSeek调用成功\");\n            log.info(\"🤖 AI回复: {}\", content);\n            log.info(\"╚════════════════════════════════════════════════════════════╝\");\n\n            return content;\n\n        } catch (Exception e) {\n            log.error(\"╔════════════════════════════════════════════════════════════╗\");\n            log.error(\"║           ❌ DeepSeek调用失败                               ║\");\n            log.error(\"╚════════════════════════════════════════════════════════════╝\");\n            log.error(\"❌ 错误类型: {}\", e.getClass().getName());\n            log.error(\"❌ 错误消息: {}\", e.getMessage());\n            log.error(\"❌ 堆栈跟踪:\", e);\n            throw new RuntimeException(\"DeepSeek调用失败: \" + e.getMessage(), e);\n        }\n    }\n\n    /**\n     * 发送HTTP请求到DeepSeek API\n     */\n    private String sendRequest(ChatRequest request) throws Exception {\n        log.info(\"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\");\n        log.info(\"📤 发送HTTP请求到DeepSeek...\");\n\n        // 序列化请求\n        objectMapper.setSerializationInclusion(JsonInclude.Include.NON_NULL);\n        String requestJson = objectMapper.writeValueAsString(request);\n        log.debug(\"📄 请求体: {}\", requestJson);\n\n        // 设置请求头\n        HttpHeaders headers = new HttpHeaders();\n        headers.setContentType(MediaType.APPLICATION_JSON);\n        headers.setBearerAuth(apiKey);\n\n        HttpEntity<String> entity = new HttpEntity<>(requestJson, headers);\n\n        log.info(\"🔗 目标URL: {}\", API_URL);\n        log.info(\"🔑 API Key: {}...{}\",\n            apiKey.substring(0, Math.min(8, apiKey.length())),\n            apiKey.length() > 4 ? apiKey.substring(apiKey.length() - 4) : \"\");\n\n        // 发送请求\n        ResponseEntity<String> response = restTemplate.exchange(\n            API_URL,\n            HttpMethod.POST,\n            entity,\n            String.class\n        );\n\n        log.info(\"📥 HTTP状态码: {}\", response.getStatusCode());\n\n        if (response.getStatusCode() == HttpStatus.OK) {\n            log.debug(\"📄 响应体: {}\", response.getBody());\n            return response.getBody();\n        } else {\n            throw new RuntimeException(\"DeepSeek API返回错误: \" + response.getStatusCode());\n        }\n    }\n\n    // ==================== 数据模型 ====================\n\n    @Data\n    private static class ChatRequest {\n        String model;\n        List<Message> messages;\n        @JsonProperty(\"max_tokens\")\n        Integer max_tokens;\n        Double temperature;\n    }\n\n    @Data\n    private static class Message {\n        String role;\n        String content;\n\n        // 默认构造函数（用于JSON反序列化）\n        Message() {}\n\n        Message(String role, String content) {\n            this.role = role;\n            this.content = content;\n        }\n    }\n\n    @Data\n    private static class ChatResponse {\n        String id;\n        String object;\n        Long created;\n        String model;\n        List<Choice> choices;\n        Usage usage;\n    }\n\n    @Data\n    private static class Choice {\n        Integer index;\n        Message message;\n        @JsonProperty(\"finish_reason\")\n        String finish_reason;\n        Object logprobs;  // DeepSeek返回的logprobs字段（可能是null或对象）\n    }\n\n    @Data\n    private static class Usage {\n        @JsonProperty(\"prompt_tokens\")\n        Integer prompt_tokens;\n        @JsonProperty(\"completion_tokens\")\n        Integer completion_tokens;\n        @JsonProperty(\"total_tokens\")\n        Integer total_tokens;\n    }\n}\n"}, "af475c45f02e28190ddc26e5ee573da181f93f4c": {"t": 1785760074.158734, "n": 7708, "h": "a26fcd8036738cdb", "c": "package com.example.tomatomall.service.serviceImpl;\n\nimport com.example.tomatomall.service.DeepSeekService;\nimport com.fasterxml.jackson.annotation.JsonInclude;\nimport com.fasterxml.jackson.annotation.JsonProperty;\nimport com.fasterxml.jackson.databind.ObjectMapper;\nimport lombok.Data;\nimport lombok.RequiredArgsConstructor;\nimport lombok.extern.slf4j.Slf4j;\nimport org.springframework.beans.factory.annotation.Value;\nimport org.springframework.http.*;\nimport org.springframework.stereotype.Service;\nimport org.springframework.web.client.RestTemplate;\n\nimport java.util.ArrayList;\nimport java.util.List;\n\n/**\n * DeepSeek API直接调用实现\n * 不依赖Spring AI的OpenAI适配器\n */\n@Slf4j\n@Service\npublic class DeepSeekServiceImpl implements DeepSeekService {\n\n    @Value(\"${spring.ai.openai.api-key}\")\n    private String apiKey;\n\n    private static final String API_URL = \"https://api.deepseek.com/v1/chat/completions\";\n    private static final String MODEL = \"deepseek-chat\";\n\n    private final RestTemplate restTemplate = new RestTemplate();\n\n    // 配置ObjectMapper忽略未知字段\n    private final ObjectMapper objectMapper = new ObjectMapper() {{\n        configure(com.fasterxml.jackson.databind.DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);\n    }};\n\n    @Override\n    public String chat(String message) {\n        log.info(\"╔════════════════════════════════════════════════════════════╗\");\n        log.info(\"║           💬 DeepSeek直接调用（简单对话）                    ║\");\n        log.info(\"╚════════════════════════════════════════════════════════════╝\");\n        log.info(\"📝 用户消息: {}\", message);\n        log.info(\"🔗 API URL: {}\", API_URL);\n        log.info(\"🤖 模型: {}\", MODEL);\n\n        try {\n            // 构建请求体\n            ChatRequest request = new ChatRequest();\n            request.model = MODEL;\n            request.messages = new ArrayList<>();\n            request.messages.add(new Message(\"user\", message));\n            request.max_tokens = 2000;\n            request.temperature = 0.7;\n\n            // 发送请求\n            String responseJson = sendRequest(request);\n\n            // 解析响应\n            ChatResponse response = objectMapper.readValue(responseJson, ChatResponse.class);\n\n            if (response.choices == null || response.choices.isEmpty()) {\n                throw new RuntimeException(\"DeepSeek返回空响应\");\n            }\n\n            String content = response.choices.get(0).message.content;\n            log.info(\"✅ DeepSeek调用成功\");\n            log.info(\"🤖 AI回复: {}\", content);\n            log.info(\"╚════════════════════════════════════════════════════════════╝\");\n\n            return content;\n\n        } catch (Exception e) {\n            log.error(\"╔════════════════════════════════════════════════════════════╗\");\n            log.error(\"║           ❌ DeepSeek调用失败                               ║\");\n            log.error(\"╚════════════════════════════════════════════════════════════╝\");\n            log.error(\"❌ 错误类型: {}\", e.getClass().getName());\n            log.error(\"❌ 错误消息: {}\", e.getMessage());\n            log.error(\"❌ 堆栈跟踪:\", e);\n            throw new RuntimeException(\"DeepSeek调用失败: \" + e.getMessage(), e);\n        }\n    }\n\n    @Override\n    public String chatWithPrompt(String prompt) {\n        log.info(\"╔════════════════════════════════════════════════════════════╗\");\n        log.info(\"║           💬 DeepSeek直接调用（带Prompt）                   ║\");\n        log.info(\"╚════════════════════════════════════════════════════════════╝\");\n        log.info(\"📝 Prompt长度: {} 字符\", prompt.length());\n        log.info(\"🔗 API URL: {}\", API_URL);\n        log.info(\"🤖 模型: {}\", MODEL);\n\n        try {\n            // 构建请求体\n            ChatRequest request = new ChatRequest();\n            request.model = MODEL;\n            request.messages = new ArrayList<>();\n            request.messages.add(new Message(\"user\", prompt));\n            request.max_tokens = 2000;\n            request.temperature = 0.7;\n\n            // 发送请求\n            String responseJson = sendRequest(request);\n\n            // 解析响应\n            ChatResponse response = objectMapper.readValue(responseJson, ChatResponse.class);\n\n            if (response.choices == null || response.choices.isEmpty()) {\n                throw new RuntimeException(\"DeepSeek返回空响应\");\n            }\n\n            String content = response.choices.get(0).message.content;\n            log.info(\"✅ DeepSeek调用成功\");\n            log.info(\"🤖 AI回复: {}\", content);\n            log.info(\"╚════════════════════════════════════════════════════════════╝\");\n\n            return content;\n\n        } catch (Exception e) {\n            log.error(\"╔════════════════════════════════════════════════════════════╗\");\n            log.error(\"║           ❌ DeepSeek调用失败                               ║\");\n            log.error(\"╚════════════════════════════════════════════════════════════╝\");\n            log.error(\"❌ 错误类型: {}\", e.getClass().getName());\n            log.error(\"❌ 错误消息: {}\", e.getMessage());\n            log.error(\"❌ 堆栈跟踪:\", e);\n            throw new RuntimeException(\"DeepSeek调用失败: \" + e.getMessage(), e);\n        }\n    }\n\n    /**\n     * 发送HTTP请求到DeepSeek API\n     */\n    private String sendRequest(ChatRequest request) throws Exception {\n        log.info(\"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\");\n        log.info(\"📤 发送HTTP请求到DeepSeek...\");\n\n        // 序列化请求\n        objectMapper.setSerializationInclusion(JsonInclude.Include.NON_NULL);\n        String requestJson = objectMapper.writeValueAsString(request);\n        log.debug(\"📄 请求体: {}\", requestJson);\n\n        // 设置请求头\n        HttpHeaders headers = new HttpHeaders();\n        headers.setContentType(MediaType.APPLICATION_JSON);\n        headers.setBearerAuth(apiKey);\n\n        HttpEntity<String> entity = new HttpEntity<>(requestJson, headers);\n\n        log.info(\"🔗 目标URL: {}\", API_URL);\n        log.info(\"🔑 API Key: {}...{}\",\n            apiKey.substring(0, Math.min(8, apiKey.length())),\n            apiKey.length() > 4 ? apiKey.substring(apiKey.length() - 4) : \"\");\n\n        // 发送请求\n        ResponseEntity<String> response = restTemplate.exchange(\n            API_URL,\n            HttpMethod.POST,\n            entity,\n            String.class\n        );\n\n        log.info(\"📥 HTTP状态码: {}\", response.getStatusCode());\n\n        if (response.getStatusCode() == HttpStatus.OK) {\n            log.debug(\"📄 响应体: {}\", response.getBody());\n            return response.getBody();\n        } else {\n            throw new RuntimeException(\"DeepSeek API返回错误: \" + response.getStatusCode());\n        }\n    }\n\n    // ==================== 数据模型 ====================\n\n    @Data\n    private static class ChatRequest {\n        String model;\n        List<Message> messages;\n        @JsonProperty(\"max_tokens\")\n        Integer max_tokens;\n        Double temperature;\n    }\n\n    @Data\n    private static class Message {\n        String role;\n        String content;\n\n        // 默认构造函数（用于JSON反序列化）\n        Message() {}\n\n        Message(String role, String content) {\n            this.role = role;\n            this.content = content;\n        }\n    }\n\n    @Data\n    private static class ChatResponse {\n        String id;\n        String object;\n        Long created;\n        String model;\n        List<Choice> choices;\n        Usage usage;\n    }\n\n    @Data\n    private static class Choice {\n        Integer index;\n        Message message;\n        @JsonProperty(\"finish_reason\")\n        String finish_reason;\n        Object logprobs;  // DeepSeek返回的logprobs字段（可能是null或对象）\n    }\n\n    @Data\n    private static class Usage {\n        @JsonProperty(\"prompt_tokens\")\n        Integer prompt_tokens;\n        @JsonProperty(\"completion_tokens\")\n        Integer completion_tokens;\n        @JsonProperty(\"total_tokens\")\n        Integer total_tokens;\n    }\n}\n"}}}}