hack/tools/scripts/llm-key-hunter/results/_cache/content/ai-learning-planning-tracking-hitwh_backend.json

{"repo": "ai-learning-planning-tracking-hitwh/backend", "files": {"src/main/resources/application.properties": {"dedf7a5ed2b797c8c16131837a1bd2810e5b3457": {"t": 1786068239.130884, "n": 798, "h": "d2012b7f7b8e3354", "c": "spring.application.name=backend\nspring.main.allow-circular-references=true\n\n# JWT\njwt.secret=${JWT_SECRET:}\njwt.expiration=604800000\n\n# Server Port\nserver.port=8080\n\n# MySQL\nspring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver\nspring.datasource.url=jdbc:mysql://localhost:3306/ai_learning_planning?useSSL=false&serverTimezone=Asia/Shanghai&characterEncoding=utf-8&allowPublicKeyRetrieval=true\nspring.datasource.username=appuser\nspring.datasource.password=Zxcvbnm@1015\n\n# MyBatis\nmybatis.type-aliases-package=com.agent.backend.entity\nmybatis.configuration.map-underscore-to-camel-case=true\n\n# log\nlogging.level.com.agent.backend.mapper=debug\nlogging.level.root=info\n\n# DeepSeek API\ndeepseek.api-key=${DEEPSEEK_API_KEY:}\ndeepseek.base-url=https://api.deepseek.com\ndeepseek.model=deepseek-chat"}}, "src/main/java/com/agent/backend/service/LLMService.java": {"dedf7a5ed2b797c8c16131837a1bd2810e5b3457": {"t": 1786068379.22064, "n": 5283, "h": "8e501422f248118b", "c": "package com.agent.backend.service;\n\nimport com.fasterxml.jackson.databind.JsonNode;\nimport com.fasterxml.jackson.databind.ObjectMapper;\nimport org.slf4j.Logger;\nimport org.slf4j.LoggerFactory;\nimport org.springframework.beans.factory.annotation.Value;\nimport org.springframework.http.HttpEntity;\nimport org.springframework.http.HttpHeaders;\nimport org.springframework.http.MediaType;\nimport org.springframework.http.ResponseEntity;\nimport org.springframework.stereotype.Service;\nimport org.springframework.web.client.RestTemplate;\n\nimport javax.annotation.PostConstruct;\nimport java.util.*;\n\n@Service\npublic class LLMService {\n    private static final Logger log = LoggerFactory.getLogger(LLMService.class);\n\n    @Value(\"${deepseek.api-key:}\")\n    private String apiKey;\n\n    @Value(\"${deepseek.base-url:https://api.deepseek.com}\")\n    private String baseUrl;\n\n    @Value(\"${deepseek.model:deepseek-chat}\")\n    private String model;\n\n    private final ObjectMapper objectMapper = new ObjectMapper();\n    private final RestTemplate restTemplate = new RestTemplate();\n\n    /**\n     * 调用 DeepSeek API（简单对话）\n     */\n    public String chat(String systemPrompt, String userPrompt) {\n        try {\n            List<Map<String, String>> messages = new ArrayList<>();\n\n            Map<String, String> systemMessage = new HashMap<>();\n            systemMessage.put(\"role\", \"system\");\n            systemMessage.put(\"content\", systemPrompt);\n            messages.add(systemMessage);\n\n            Map<String, String> userMessage = new HashMap<>();\n            userMessage.put(\"role\", \"user\");\n            userMessage.put(\"content\", userPrompt);\n            messages.add(userMessage);\n\n            // 构建请求体\n            Map<String, Object> requestBody = new HashMap<>();\n            requestBody.put(\"model\", model);\n            requestBody.put(\"messages\", messages);\n            requestBody.put(\"temperature\", 0.7);\n            requestBody.put(\"max_tokens\", 4096);\n\n            String response = callAPI(requestBody);\n            return extractContent(response);\n\n        } catch (Exception e) {\n            log.error(\"调用 DeepSeek API 失败\", e);\n            throw new RuntimeException(\"AI服务暂时不可用：\" + e.getMessage());\n        }\n    }\n\n    /**\n     * 调用 DeepSeek API（支持自定义参数）\n     */\n    public String chat(String systemPrompt, String userPrompt, Double temperature, Integer maxTokens) {\n        try {\n            List<Map<String, String>> messages = new ArrayList<>();\n\n            Map<String, String> systemMessage = new HashMap<>();\n            systemMessage.put(\"role\", \"system\");\n            systemMessage.put(\"content\", systemPrompt);\n            messages.add(systemMessage);\n\n            Map<String, String> userMessage = new HashMap<>();\n            userMessage.put(\"role\", \"user\");\n            userMessage.put(\"content\", userPrompt);\n            messages.add(userMessage);\n\n            Map<String, Object> requestBody = new HashMap<>();\n            requestBody.put(\"model\", model);\n            requestBody.put(\"messages\", messages);\n            requestBody.put(\"temperature\", temperature != null ? temperature : 0.7);\n            requestBody.put(\"max_tokens\", maxTokens != null ? maxTokens : 4096);\n\n            String response = callAPI(requestBody);\n            return extractContent(response);\n\n        } catch (Exception e) {\n            log.error(\"调用 DeepSeek API 失败\", e);\n            throw new RuntimeException(\"AI服务暂时不可用：\" + e.getMessage());\n        }\n    }\n\n    /**\n     * 调用 DeepSeek API（支持多轮对话历史）\n     */\n    public String chatWithHistory(List<Map<String, String>> messages) {\n        try {\n            Map<String, Object> requestBody = new HashMap<>();\n            requestBody.put(\"model\", model);\n            requestBody.put(\"messages\", messages);\n            requestBody.put(\"temperature\", 0.7);\n            requestBody.put(\"max_tokens\", 4096);\n\n            String response = callAPI(requestBody);\n            return extractContent(response);\n\n        } catch (Exception e) {\n            log.error(\"调用 DeepSeek API 失败\", e);\n            throw new RuntimeException(\"AI服务暂时不可用：\" + e.getMessage());\n        }\n    }\n\n    private String callAPI(Map<String, Object> requestBody) {\n        HttpHeaders headers = new HttpHeaders();\n        headers.setContentType(MediaType.APPLICATION_JSON);\n        if (apiKey != null && !apiKey.isEmpty()) {\n            headers.setBearerAuth(apiKey);\n        }\n\n        HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);\n        String url = baseUrl + \"/v1/chat/completions\";\n\n        log.debug(\"调用 DeepSeek API，model：{}，url：{}\", model, url);\n\n        ResponseEntity<String> response = restTemplate.postForEntity(url, entity, String.class);\n        return response.getBody();\n    }\n\n    private String extractContent(String responseJson) {\n        try {\n            JsonNode root = objectMapper.readTree(responseJson);\n            JsonNode choices = root.path(\"choices\");\n            if (choices.isArray() && choices.size() > 0) {\n                return choices.get(0).path(\"message\").path(\"content\").asText();\n            }\n            log.warn(\"DeepSeek 响应格式异常：{}\", responseJson);\n            return \"\";\n        } catch (Exception e) {\n            log.error(\"解析 DeepSeek 响应失败\", e);\n            return \"\";\n        }\n    }\n}"}}}}