{"repo": "aetik-yue/chinasoft-project-group23", "files": {"backend/src/main/java/com/chinasoft/smokesensor/client/LlmClient.java": {"128cbf1d8783403458e26c8850562e3b58b8810f": {"t": 1785745685.3527782, "n": 4232, "h": "299e0af72cb474b2", "c": "package com.chinasoft.smokesensor.client;\n\nimport com.chinasoft.smokesensor.config.LlmProperties;\nimport com.chinasoft.smokesensor.config.ApiKeyEncryptor;\nimport com.chinasoft.smokesensor.entity.SystemSetting;\nimport com.chinasoft.smokesensor.repository.SystemSettingRepository;\nimport jakarta.annotation.PostConstruct;\nimport java.util.List;\nimport java.util.Map;\nimport lombok.RequiredArgsConstructor;\nimport lombok.extern.slf4j.Slf4j;\nimport org.springframework.http.MediaType;\nimport org.springframework.stereotype.Component;\nimport org.springframework.web.client.RestClient;\n\n/**\n * DeepSeek（OpenAI 兼容）大模型客户端，封装 chat completions + function calling 调用。\n *\n * <p>调用 {@code POST {base-url}/v1/chat/completions}，请求体含 {@code model / messages / tools / tool_choice}，\n * 响应 {@code choices[0].message}（含 {@code content} 或 {@code tool_calls}）。\n *\n * <p>本类只负责 HTTP 调用与响应解析，工具执行与多轮编排由 {@code AgentToolService} 完成。\n *\n * <p>降级：{@code qq.llm.enabled=false} 或未配置 api-key 时 {@link #isEnabled} 返回 false，\n * 调用方走规则回退。调用失败只 warn 不抛异常，返回 null。\n */\n@Slf4j\n@Component\n@RequiredArgsConstructor\npublic class LlmClient {\n\n    private final LlmProperties properties;\n    private final SystemSettingRepository systemSettingRepository;\n    private final ApiKeyEncryptor apiKeyEncryptor;\n\n    private RestClient restClient;\n\n    @PostConstruct\n    void init() {\n        if (properties.getBaseUrl() != null && !properties.getBaseUrl().isBlank()) {\n            this.restClient = RestClient.builder()\n                    .baseUrl(properties.getBaseUrl())\n                    .build();\n        }\n    }\n\n    /**\n     * 是否启用（已 enabled 且 api-key 非空且 restClient 已初始化）。\n     */\n    public boolean isEnabled() {\n        String apiKey = getApiKey();\n        return properties.isEnabled()\n                && restClient != null\n                && apiKey != null\n                && !apiKey.isBlank();\n    }\n\n    private String getApiKey() {\n        String dbKey = systemSettingRepository.findBySettingKey(\"deepseek_api_key\")\n                .map(SystemSetting::getSettingValue)\n                .orElse(null);\n        if (dbKey != null && !dbKey.isBlank()) {\n            return apiKeyEncryptor.decrypt(dbKey);\n        }\n        return properties.getApiKey();\n    }\n\n    /**\n     * 调用 chat completions，返回 assistant 消息（含 content 或 tool_calls）。\n     *\n     * @param messages 对话消息列表（含历史 + 上一轮 assistant tool_calls + tool 结果）\n     * @param tools    工具 schema 列表（OpenAI function 格式），为空则不传 tools\n     * @return assistant 消息 Map，或 null（调用失败 / 无响应）\n     */\n    @SuppressWarnings(\"unchecked\")\n    public Map<String, Object> chat(List<Map<String, Object>> messages, List<Map<String, Object>> tools) {\n        if (!isEnabled()) {\n            return null;\n        }\n        try {\n            Map<String, Object> body = new java.util.LinkedHashMap<>();\n            body.put(\"model\", properties.getModel());\n            body.put(\"messages\", messages);\n            if (tools != null && !tools.isEmpty()) {\n                body.put(\"tools\", tools);\n                body.put(\"tool_choice\", \"auto\");\n            }\n\n            Map<String, Object> response = restClient.post()\n                    .uri(\"/v1/chat/completions\")\n                    .header(\"Authorization\", \"Bearer \" + getApiKey())\n                    .contentType(MediaType.APPLICATION_JSON)\n                    .body(body)\n                    .retrieve()\n                    .body(Map.class);\n            return extractMessage(response);\n        } catch (Exception e) {\n            log.warn(\"DeepSeek 调用失败: reason={}\", e.getMessage());\n            return null;\n        }\n    }\n\n    /**\n     * 从响应中提取 choices[0].message。\n     */\n    @SuppressWarnings(\"unchecked\")\n    private Map<String, Object> extractMessage(Map<String, Object> response) {\n        if (response == null) {\n            return null;\n        }\n        Object choices = response.get(\"choices\");\n        if (choices instanceof List<?> list && !list.isEmpty() && list.get(0) instanceof Map<?, ?> first) {\n            Object message = first.get(\"message\");\n            if (message instanceof Map<?, ?> msg) {\n                return (Map<String, Object>) msg;\n            }\n        }\n        log.warn(\"DeepSeek 响应格式异常: {}\", response);\n        return null;\n    }\n}\n"}, "a101dd944b079def1d8450a4b94b00df32d52e1e": {"t": 1785755705.9064398, "n": 4232, "h": "299e0af72cb474b2", "c": "package com.chinasoft.smokesensor.client;\n\nimport com.chinasoft.smokesensor.config.LlmProperties;\nimport com.chinasoft.smokesensor.config.ApiKeyEncryptor;\nimport com.chinasoft.smokesensor.entity.SystemSetting;\nimport com.chinasoft.smokesensor.repository.SystemSettingRepository;\nimport jakarta.annotation.PostConstruct;\nimport java.util.List;\nimport java.util.Map;\nimport lombok.RequiredArgsConstructor;\nimport lombok.extern.slf4j.Slf4j;\nimport org.springframework.http.MediaType;\nimport org.springframework.stereotype.Component;\nimport org.springframework.web.client.RestClient;\n\n/**\n * DeepSeek（OpenAI 兼容）大模型客户端，封装 chat completions + function calling 调用。\n *\n * <p>调用 {@code POST {base-url}/v1/chat/completions}，请求体含 {@code model / messages / tools / tool_choice}，\n * 响应 {@code choices[0].message}（含 {@code content} 或 {@code tool_calls}）。\n *\n * <p>本类只负责 HTTP 调用与响应解析，工具执行与多轮编排由 {@code AgentToolService} 完成。\n *\n * <p>降级：{@code qq.llm.enabled=false} 或未配置 api-key 时 {@link #isEnabled} 返回 false，\n * 调用方走规则回退。调用失败只 warn 不抛异常，返回 null。\n */\n@Slf4j\n@Component\n@RequiredArgsConstructor\npublic class LlmClient {\n\n    private final LlmProperties properties;\n    private final SystemSettingRepository systemSettingRepository;\n    private final ApiKeyEncryptor apiKeyEncryptor;\n\n    private RestClient restClient;\n\n    @PostConstruct\n    void init() {\n        if (properties.getBaseUrl() != null && !properties.getBaseUrl().isBlank()) {\n            this.restClient = RestClient.builder()\n                    .baseUrl(properties.getBaseUrl())\n                    .build();\n        }\n    }\n\n    /**\n     * 是否启用（已 enabled 且 api-key 非空且 restClient 已初始化）。\n     */\n    public boolean isEnabled() {\n        String apiKey = getApiKey();\n        return properties.isEnabled()\n                && restClient != null\n                && apiKey != null\n                && !apiKey.isBlank();\n    }\n\n    private String getApiKey() {\n        String dbKey = systemSettingRepository.findBySettingKey(\"deepseek_api_key\")\n                .map(SystemSetting::getSettingValue)\n                .orElse(null);\n        if (dbKey != null && !dbKey.isBlank()) {\n            return apiKeyEncryptor.decrypt(dbKey);\n        }\n        return properties.getApiKey();\n    }\n\n    /**\n     * 调用 chat completions，返回 assistant 消息（含 content 或 tool_calls）。\n     *\n     * @param messages 对话消息列表（含历史 + 上一轮 assistant tool_calls + tool 结果）\n     * @param tools    工具 schema 列表（OpenAI function 格式），为空则不传 tools\n     * @return assistant 消息 Map，或 null（调用失败 / 无响应）\n     */\n    @SuppressWarnings(\"unchecked\")\n    public Map<String, Object> chat(List<Map<String, Object>> messages, List<Map<String, Object>> tools) {\n        if (!isEnabled()) {\n            return null;\n        }\n        try {\n            Map<String, Object> body = new java.util.LinkedHashMap<>();\n            body.put(\"model\", properties.getModel());\n            body.put(\"messages\", messages);\n            if (tools != null && !tools.isEmpty()) {\n                body.put(\"tools\", tools);\n                body.put(\"tool_choice\", \"auto\");\n            }\n\n            Map<String, Object> response = restClient.post()\n                    .uri(\"/v1/chat/completions\")\n                    .header(\"Authorization\", \"Bearer \" + getApiKey())\n                    .contentType(MediaType.APPLICATION_JSON)\n                    .body(body)\n                    .retrieve()\n                    .body(Map.class);\n            return extractMessage(response);\n        } catch (Exception e) {\n            log.warn(\"DeepSeek 调用失败: reason={}\", e.getMessage());\n            return null;\n        }\n    }\n\n    /**\n     * 从响应中提取 choices[0].message。\n     */\n    @SuppressWarnings(\"unchecked\")\n    private Map<String, Object> extractMessage(Map<String, Object> response) {\n        if (response == null) {\n            return null;\n        }\n        Object choices = response.get(\"choices\");\n        if (choices instanceof List<?> list && !list.isEmpty() && list.get(0) instanceof Map<?, ?> first) {\n            Object message = first.get(\"message\");\n            if (message instanceof Map<?, ?> msg) {\n                return (Map<String, Object>) msg;\n            }\n        }\n        log.warn(\"DeepSeek 响应格式异常: {}\", response);\n        return null;\n    }\n}\n"}, "ff85f054131b21bbc73583bdb7acd20d5a4cdcf4": {"t": 1785755707.230306, "n": 3582, "h": "bbf28979088082ea", "c": "package com.chinasoft.smokesensor.client;\n\nimport com.chinasoft.smokesensor.config.LlmProperties;\nimport jakarta.annotation.PostConstruct;\nimport java.util.List;\nimport java.util.Map;\nimport lombok.RequiredArgsConstructor;\nimport lombok.extern.slf4j.Slf4j;\nimport org.springframework.http.MediaType;\nimport org.springframework.stereotype.Component;\nimport org.springframework.web.client.RestClient;\n\n/**\n * DeepSeek（OpenAI 兼容）大模型客户端，封装 chat completions + function calling 调用。\n *\n * <p>调用 {@code POST {base-url}/v1/chat/completions}，请求体含 {@code model / messages / tools / tool_choice}，\n * 响应 {@code choices[0].message}（含 {@code content} 或 {@code tool_calls}）。\n *\n * <p>本类只负责 HTTP 调用与响应解析，工具执行与多轮编排由 {@code AgentToolService} 完成。\n *\n * <p>降级：{@code qq.llm.enabled=false} 或未配置 api-key 时 {@link #isEnabled} 返回 false，\n * 调用方走规则回退。调用失败只 warn 不抛异常，返回 null。\n */\n@Slf4j\n@Component\n@RequiredArgsConstructor\npublic class LlmClient {\n\n    private final LlmProperties properties;\n\n    private RestClient restClient;\n\n    @PostConstruct\n    void init() {\n        if (properties.getBaseUrl() != null && !properties.getBaseUrl().isBlank()) {\n            this.restClient = RestClient.builder()\n                    .baseUrl(properties.getBaseUrl())\n                    .build();\n        }\n    }\n\n    /**\n     * 是否启用（已 enabled 且 api-key 非空且 restClient 已初始化）。\n     */\n    public boolean isEnabled() {\n        return properties.isEnabled()\n                && restClient != null\n                && properties.getApiKey() != null\n                && !properties.getApiKey().isBlank();\n    }\n\n    /**\n     * 调用 chat completions，返回 assistant 消息（含 content 或 tool_calls）。\n     *\n     * @param messages 对话消息列表（含历史 + 上一轮 assistant tool_calls + tool 结果）\n     * @param tools    工具 schema 列表（OpenAI function 格式），为空则不传 tools\n     * @return assistant 消息 Map，或 null（调用失败 / 无响应）\n     */\n    @SuppressWarnings(\"unchecked\")\n    public Map<String, Object> chat(List<Map<String, Object>> messages, List<Map<String, Object>> tools) {\n        if (!isEnabled()) {\n            return null;\n        }\n        try {\n            Map<String, Object> body = new java.util.LinkedHashMap<>();\n            body.put(\"model\", properties.getModel());\n            body.put(\"messages\", messages);\n            if (tools != null && !tools.isEmpty()) {\n                body.put(\"tools\", tools);\n                body.put(\"tool_choice\", \"auto\");\n            }\n\n            Map<String, Object> response = restClient.post()\n                    .uri(\"/v1/chat/completions\")\n                    .header(\"Authorization\", \"Bearer \" + properties.getApiKey())\n                    .contentType(MediaType.APPLICATION_JSON)\n                    .body(body)\n                    .retrieve()\n                    .body(Map.class);\n            return extractMessage(response);\n        } catch (Exception e) {\n            log.warn(\"DeepSeek 调用失败: reason={}\", e.getMessage());\n            return null;\n        }\n    }\n\n    /**\n     * 从响应中提取 choices[0].message。\n     */\n    @SuppressWarnings(\"unchecked\")\n    private Map<String, Object> extractMessage(Map<String, Object> response) {\n        if (response == null) {\n            return null;\n        }\n        Object choices = response.get(\"choices\");\n        if (choices instanceof List<?> list && !list.isEmpty() && list.get(0) instanceof Map<?, ?> first) {\n            Object message = first.get(\"message\");\n            if (message instanceof Map<?, ?> msg) {\n                return (Map<String, Object>) msg;\n            }\n        }\n        log.warn(\"DeepSeek 响应格式异常: {}\", response);\n        return null;\n    }\n}\n"}}}}