524 lines
20 KiB
Markdown
524 lines
20 KiB
Markdown
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# Prompt - 详细日志记录和查询
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## 输入引用
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引用相关的 docs 文档链接：
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- [REQ-010-15.md](../requirements/REQ-010-15.md) - 详细日志记录和查询需求文档
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- [0024-logging.md](../decisions/adr/0024-logging.md) - 详细日志记录和查询架构决策
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- [REQ-010.md](../requirements/REQ-010.md) - Salesforce元数据拉取和部署主需求文档
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- [REQ-010-6.md](../requirements/REQ-010-6.md) - 元数据拉取核心功能需求文档
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- [REQ-010-8.md](../requirements/REQ-010-8.md) - 元数据部署核心功能需求文档
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- [REQ-010-14.md](../requirements/REQ-010-14.md) - 作业执行监控需求文档
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- [metadata-module.md](../reference-code/com/docs/metadata-module.md) - Salesforce Metadata API 模块说明（唯一真源）
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- [index.md](../reference-code/com/docs/index.md) - Salesforce SOAP API Java 客户端参考文档（唯一真源）
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## Context Maps
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强制列出本次 Prompt 依赖的 Canvas 文件：
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- [Authentication.canvas](../Authentication.canvas) - 项目架构视觉化展示
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- **相关节点**: [集成核心](node_integration_core) - 提供与Salesforce的各种连接方式
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- **快照时间**: 2026-01-19 00:00:00
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## 目标
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实现详细日志记录和查询功能，包括日志记录、日志查询、日志导出、日志分析。支持记录拉取和部署作业的详细执行日志，支持日志查询和导出，支持日志分析。
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## 输出格式
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代码示例（语言：Java）
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### 1. 日志级别枚举
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```java
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package com.datai.salesforce.metadata.log.enums;
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import lombok.Getter;
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@Getter
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public enum LogLevel {
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INFO("信息"),
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WARN("警告"),
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ERROR("错误");
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private final String description;
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LogLevel(String description) {
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this.description = description;
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}
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}
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```
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### 2. 操作日志实体类
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```java
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package com.datai.salesforce.metadata.log.entity;
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import com.baomidou.mybatisplus.annotation.IdType;
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import com.baomidou.mybatisplus.annotation.TableId;
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import com.baomidou.mybatisplus.annotation.TableName;
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import com.datai.salesforce.metadata.log.enums.LogLevel;
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import lombok.Data;
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import java.time.LocalDateTime;
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@Data
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@TableName("datai_operation_log")
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public class OperationLog {
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@TableId(type = IdType.AUTO)
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private Long id;
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private Long jobExecutionId;
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private LogLevel logLevel;
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private String logContent;
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private String logModule;
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private String logOperation;
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private String logUser;
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private String logIp;
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private LocalDateTime logTime;
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private LocalDateTime createTime;
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}
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```
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### 3. 操作日志服务接口
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```java
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package com.datai.salesforce.metadata.log.service;
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import com.datai.salesforce.metadata.log.entity.OperationLog;
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import com.datai.salesforce.metadata.log.enums.LogLevel;
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import java.util.List;
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public interface IOperationLogService {
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Long saveLog(OperationLog operationLog);
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void saveLogAsync(OperationLog operationLog);
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OperationLog getLog(Long id);
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List<OperationLog> getLogsByJobExecutionId(Long jobExecutionId);
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List<OperationLog> getLogsByLogLevel(LogLevel logLevel);
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boolean deleteLog(Long id);
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boolean batchDeleteLogs(List<Long> ids);
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}
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```
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### 4. 日志查询服务接口
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```java
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package com.datai.salesforce.metadata.log.service;
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import com.baomidou.mybatisplus.core.metadata.IPage;
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import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
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import com.datai.salesforce.metadata.log.entity.OperationLog;
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import com.datai.salesforce.metadata.log.enums.LogLevel;
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import java.time.LocalDateTime;
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import java.util.List;
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public interface ILogQueryService {
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IPage<OperationLog> queryLogs(Page<OperationLog> page,
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Long jobExecutionId,
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LogLevel logLevel,
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String keyword,
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LocalDateTime startTime,
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LocalDateTime endTime);
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List<OperationLog> queryLogsByCondition(Long jobExecutionId,
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LogLevel logLevel,
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String keyword,
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LocalDateTime startTime,
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LocalDateTime endTime);
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IPage<OperationLog> queryLogsByTimeRange(Page<OperationLog> page,
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LocalDateTime startTime,
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LocalDateTime endTime);
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IPage<OperationLog> queryLogsByJobExecutionId(Page<OperationLog> page,
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Long jobExecutionId);
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}
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```
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### 5. 日志导出服务接口
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```java
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package com.datai.salesforce.metadata.log.service;
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import com.datai.salesforce.metadata.log.entity.OperationLog;
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import org.springframework.http.ResponseEntity;
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import java.time.LocalDateTime;
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import java.util.List;
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public interface ILogExportService {
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ResponseEntity<byte[]> exportToText(List<Long> logIds);
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ResponseEntity<byte[]> exportToExcel(List<Long> logIds);
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ResponseEntity<byte[]> exportToCsv(List<Long> logIds);
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ResponseEntity<byte[]> exportToTextByCondition(Long jobExecutionId,
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String logLevel,
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String keyword,
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LocalDateTime startTime,
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LocalDateTime endTime);
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ResponseEntity<byte[]> exportToExcelByCondition(Long jobExecutionId,
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String logLevel,
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String keyword,
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LocalDateTime startTime,
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LocalDateTime endTime);
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ResponseEntity<byte[]> exportToCsvByCondition(Long jobExecutionId,
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String logLevel,
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String keyword,
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LocalDateTime startTime,
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LocalDateTime endTime);
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}
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```
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### 6. 日志分析服务接口
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```java
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package com.datai.salesforce.metadata.log.service;
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import java.time.LocalDateTime;
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import java.util.Map;
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public interface ILogAnalysisService {
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Map<String, Object> analyzeLogs(Long jobExecutionId);
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Map<String, Object> analyzeLogsByTimeRange(LocalDateTime startTime,
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LocalDateTime endTime);
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Map<String, Object> analyzeLogsByLogLevel(String logLevel,
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LocalDateTime startTime,
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LocalDateTime endTime);
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Map<String, Object> analyzeLogTrend(LocalDateTime startTime,
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LocalDateTime endTime);
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Map<String, Object> analyzeLogStatistics(LocalDateTime startTime,
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LocalDateTime endTime);
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}
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```
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### 7. 日志查询控制器
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```java
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package com.datai.salesforce.metadata.log.controller;
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import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
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import com.datai.common.core.domain.R;
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import com.datai.salesforce.metadata.log.entity.OperationLog;
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import com.datai.salesforce.metadata.log.enums.LogLevel;
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import com.datai.salesforce.metadata.log.service.ILogQueryService;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import lombok.RequiredArgsConstructor;
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import org.springframework.format.annotation.DateTimeFormat;
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import org.springframework.web.bind.annotation.*;
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import java.time.LocalDateTime;
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import java.util.List;
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@Tag(name = "日志查询管理")
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@RestController
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@RequestMapping("/log/query")
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@RequiredArgsConstructor
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public class LogQueryController {
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private final ILogQueryService logQueryService;
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@Operation(summary = "查询日志列表")
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@GetMapping("/list")
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public R<Page<OperationLog>> queryLogs(
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@RequestParam(defaultValue = "1") int pageNum,
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@RequestParam(defaultValue = "10") int pageSize,
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@RequestParam(required = false) Long jobExecutionId,
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@RequestParam(required = false) LogLevel logLevel,
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@RequestParam(required = false) String keyword,
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@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
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@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
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Page<OperationLog> page = new Page<>(pageNum, pageSize);
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Page<OperationLog> result = logQueryService.queryLogs(page, jobExecutionId, logLevel, keyword, startTime, endTime);
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return R.ok(result);
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}
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@Operation(summary = "查询日志列表（按条件）")
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@GetMapping("/condition")
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public R<List<OperationLog>> queryLogsByCondition(
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@RequestParam(required = false) Long jobExecutionId,
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@RequestParam(required = false) LogLevel logLevel,
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@RequestParam(required = false) String keyword,
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@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
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@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
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List<OperationLog> logs = logQueryService.queryLogsByCondition(jobExecutionId, logLevel, keyword, startTime, endTime);
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return R.ok(logs);
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}
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@Operation(summary = "查询日志列表（按时间范围）")
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@GetMapping("/time-range")
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public R<Page<OperationLog>> queryLogsByTimeRange(
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@RequestParam(defaultValue = "1") int pageNum,
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@RequestParam(defaultValue = "10") int pageSize,
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@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
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@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
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Page<OperationLog> page = new Page<>(pageNum, pageSize);
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Page<OperationLog> result = logQueryService.queryLogsByTimeRange(page, startTime, endTime);
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return R.ok(result);
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}
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@Operation(summary = "查询日志列表（按作业ID）")
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@GetMapping("/job-execution")
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public R<Page<OperationLog>> queryLogsByJobExecutionId(
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@RequestParam(defaultValue = "1") int pageNum,
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@RequestParam(defaultValue = "10") int pageSize,
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@RequestParam Long jobExecutionId) {
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Page<OperationLog> page = new Page<>(pageNum, pageSize);
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Page<OperationLog> result = logQueryService.queryLogsByJobExecutionId(page, jobExecutionId);
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return R.ok(result);
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}
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}
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```
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### 8. 日志导出控制器
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```java
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package com.datai.salesforce.metadata.log.controller;
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import com.datai.common.core.domain.R;
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import com.datai.salesforce.metadata.log.service.ILogExportService;
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import io.swagger.v3.oas.annotations.Operation;
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import io.swagger.v3.oas.annotations.tags.Tag;
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import lombok.RequiredArgsConstructor;
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import org.springframework.format.annotation.DateTimeFormat;
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import org.springframework.http.ResponseEntity;
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import org.springframework.web.bind.annotation.*;
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import java.time.LocalDateTime;
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import java.util.List;
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@Tag(name = "日志导出管理")
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@RestController
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@RequestMapping("/log/export")
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@RequiredArgsConstructor
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public class LogExportController {
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private final ILogExportService logExportService;
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@Operation(summary = "导出为文本文件")
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@PostMapping("/text")
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public ResponseEntity<byte[]> exportToText(@RequestBody List<Long> logIds) {
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return logExportService.exportToText(logIds);
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}
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@Operation(summary = "导出为Excel文件")
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@PostMapping("/excel")
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public ResponseEntity<byte[]> exportToExcel(@RequestBody List<Long> logIds) {
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return logExportService.exportToExcel(logIds);
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}
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@Operation(summary = "导出为CSV文件")
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@PostMapping("/csv")
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public ResponseEntity<byte[]> exportToCsv(@RequestBody List<Long> logIds) {
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return logExportService.exportToCsv(logIds);
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}
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@Operation(summary = "按条件导出为文本文件")
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@GetMapping("/text/condition")
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public ResponseEntity<byte[]> exportToTextByCondition(
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@RequestParam(required = false) Long jobExecutionId,
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|
|
@RequestParam(required = false) String logLevel,
|
|||
|
|
@RequestParam(required = false) String keyword,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
|
|||
|
|
return logExportService.exportToTextByCondition(jobExecutionId, logLevel, keyword, startTime, endTime);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@Operation(summary = "按条件导出为Excel文件")
|
|||
|
|
@GetMapping("/excel/condition")
|
|||
|
|
public ResponseEntity<byte[]> exportToExcelByCondition(
|
|||
|
|
@RequestParam(required = false) Long jobExecutionId,
|
|||
|
|
@RequestParam(required = false) String logLevel,
|
|||
|
|
@RequestParam(required = false) String keyword,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
|
|||
|
|
return logExportService.exportToExcelByCondition(jobExecutionId, logLevel, keyword, startTime, endTime);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@Operation(summary = "按条件导出为CSV文件")
|
|||
|
|
@GetMapping("/csv/condition")
|
|||
|
|
public ResponseEntity<byte[]> exportToCsvByCondition(
|
|||
|
|
@RequestParam(required = false) Long jobExecutionId,
|
|||
|
|
@RequestParam(required = false) String logLevel,
|
|||
|
|
@RequestParam(required = false) String keyword,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
|
|||
|
|
return logExportService.exportToCsvByCondition(jobExecutionId, logLevel, keyword, startTime, endTime);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
### 9. 日志分析控制器
|
|||
|
|
|
|||
|
|
```java
|
|||
|
|
package com.datai.salesforce.metadata.log.controller;
|
|||
|
|
|
|||
|
|
import com.datai.common.core.domain.R;
|
|||
|
|
import com.datai.salesforce.metadata.log.service.ILogAnalysisService;
|
|||
|
|
import io.swagger.v3.oas.annotations.Operation;
|
|||
|
|
import io.swagger.v3.oas.annotations.tags.Tag;
|
|||
|
|
import lombok.RequiredArgsConstructor;
|
|||
|
|
import org.springframework.format.annotation.DateTimeFormat;
|
|||
|
|
import org.springframework.web.bind.annotation.*;
|
|||
|
|
|
|||
|
|
import java.time.LocalDateTime;
|
|||
|
|
import java.util.Map;
|
|||
|
|
|
|||
|
|
@Tag(name = "日志分析管理")
|
|||
|
|
@RestController
|
|||
|
|
@RequestMapping("/log/analysis")
|
|||
|
|
@RequiredArgsConstructor
|
|||
|
|
public class LogAnalysisController {
|
|||
|
|
|
|||
|
|
private final ILogAnalysisService logAnalysisService;
|
|||
|
|
|
|||
|
|
@Operation(summary = "分析日志（按作业ID）")
|
|||
|
|
@GetMapping("/job-execution")
|
|||
|
|
public R<Map<String, Object>> analyzeLogs(@RequestParam Long jobExecutionId) {
|
|||
|
|
Map<String, Object> analysis = logAnalysisService.analyzeLogs(jobExecutionId);
|
|||
|
|
return R.ok(analysis);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@Operation(summary = "分析日志（按时间范围）")
|
|||
|
|
@GetMapping("/time-range")
|
|||
|
|
public R<Map<String, Object>> analyzeLogsByTimeRange(
|
|||
|
|
@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
|
|||
|
|
@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
|
|||
|
|
Map<String, Object> analysis = logAnalysisService.analyzeLogsByTimeRange(startTime, endTime);
|
|||
|
|
return R.ok(analysis);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@Operation(summary = "分析日志（按日志级别）")
|
|||
|
|
@GetMapping("/log-level")
|
|||
|
|
public R<Map<String, Object>> analyzeLogsByLogLevel(
|
|||
|
|
@RequestParam String logLevel,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
|
|||
|
|
@RequestParam(required = false) @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
|
|||
|
|
Map<String, Object> analysis = logAnalysisService.analyzeLogsByLogLevel(logLevel, startTime, endTime);
|
|||
|
|
return R.ok(analysis);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@Operation(summary = "分析日志趋势")
|
|||
|
|
@GetMapping("/trend")
|
|||
|
|
public R<Map<String, Object>> analyzeLogTrend(
|
|||
|
|
@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
|
|||
|
|
@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
|
|||
|
|
Map<String, Object> analysis = logAnalysisService.analyzeLogTrend(startTime, endTime);
|
|||
|
|
return R.ok(analysis);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@Operation(summary = "分析日志统计")
|
|||
|
|
@GetMapping("/statistics")
|
|||
|
|
public R<Map<String, Object>> analyzeLogStatistics(
|
|||
|
|
@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime startTime,
|
|||
|
|
@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss") LocalDateTime endTime) {
|
|||
|
|
Map<String, Object> analysis = logAnalysisService.analyzeLogStatistics(startTime, endTime);
|
|||
|
|
return R.ok(analysis);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
## 约束
|
|||
|
|
|
|||
|
|
- **技术栈限制**: 必须基于现有的 Spring Boot 3 + Vue 3 技术栈
|
|||
|
|
- **架构约束**: 必须遵循 Authentication.canvas 中定义的架构和调用关系
|
|||
|
|
- **模块约束**: 必须在 datai-salesforce-metadata 模块下实现
|
|||
|
|
- **数据库约束**: 必须使用 MyBatis Plus 作为持久层框架
|
|||
|
|
- **性能约束**: 日志记录和查询性能必须满足要求，不能影响作业执行
|
|||
|
|
- **依赖约束**: 必须依赖于 REQ-010-1, REQ-010-2, REQ-010-6, REQ-010-8, REQ-010-14
|
|||
|
|
|
|||
|
|
## Rule Set
|
|||
|
|
|
|||
|
|
"请严格参考 @Authentication.canvas 中的状态机转移逻辑，不要自行发挥。"
|
|||
|
|
|
|||
|
|
**具体规则**：
|
|||
|
|
- 必须使用 Canvas 中定义的类名和方法名
|
|||
|
|
- 必须遵循 Canvas 中定义的调用关系
|
|||
|
|
- 必须参考 Canvas 中的流程图逻辑
|
|||
|
|
|
|||
|
|
## 验收标准
|
|||
|
|
|
|||
|
|
定义验证输出质量的具体标准，例如：
|
|||
|
|
|
|||
|
|
- **功能完整性**: 所有日志记录和查询功能能够正常工作
|
|||
|
|
- 日志记录功能正常工作
|
|||
|
|
- 日志查询功能正常工作
|
|||
|
|
- 日志导出功能正常工作
|
|||
|
|
- 日志分析功能正常工作
|
|||
|
|
|
|||
|
|
- **性能指标**: 日志记录和查询性能满足要求，不影响作业执行
|
|||
|
|
- 日志记录响应时间 < 100ms
|
|||
|
|
- 日志查询响应时间 < 2s
|
|||
|
|
- 日志导出响应时间 < 10s（1000条日志）
|
|||
|
|
- 日志分析响应时间 < 5s
|
|||
|
|
|
|||
|
|
- **完整性**: 日志信息完整详细，能够追溯作业执行过程
|
|||
|
|
- 日志信息完整详细
|
|||
|
|
- 能够追溯作业执行过程
|
|||
|
|
|
|||
|
|
- **代码规范性**: 代码符合项目编码规范，有清晰的注释
|
|||
|
|
- 使用 Lombok 的 @Data、@RequiredArgsConstructor 注解
|
|||
|
|
- 使用 Swagger 的 @Tag、@Operation 注解
|
|||
|
|
- 使用 MyBatis Plus 的 @TableName、@TableId 注解
|
|||
|
|
|
|||
|
|
- **可维护性**: 代码结构清晰，易于扩展和维护
|
|||
|
|
- 服务接口和实现分离
|
|||
|
|
- 控制器、服务、实体、Mapper 分层清晰
|
|||
|
|
- 使用枚举管理日志级别
|
|||
|
|
|
|||
|
|
- **可测试性**: 代码易于单元测试和集成测试
|
|||
|
|
- 编写单元测试，测试覆盖率 > 80%
|
|||
|
|
- 编写集成测试，确保功能正常
|
|||
|
|
|
|||
|
|
## 风险
|
|||
|
|
|
|||
|
|
识别使用此提示词可能带来的风险，例如：
|
|||
|
|
|
|||
|
|
- **输出质量风险**: 代码质量可能不符合项目规范
|
|||
|
|
- **缓解措施**: 使用代码审查，确保代码质量符合项目规范
|
|||
|
|
|
|||
|
|
- **技术实现风险**: 技术实现可能不符合架构决策
|
|||
|
|
- **缓解措施**: 参考架构决策文档，确保技术实现符合架构决策
|
|||
|
|
|
|||
|
|
- **时间成本风险**: 开发周期可能较长
|
|||
|
|
- **缓解措施**: 分阶段实施，优先实现核心功能，逐步完善
|
|||
|
|
|
|||
|
|
- **性能风险**: 日志记录和查询性能可能不佳
|
|||
|
|
- **缓解措施**: 使用异步日志记录，使用索引优化查询，使用缓存提高查询性能
|
|||
|
|
|
|||
|
|
## 使用记录
|
|||
|
|
|
|||
|
|
| 日期 | 使用场景 | 输入参数 | 输出结果 | 反馈 | 改进措施 |
|
|||
|
|
|------|---------|---------|---------|------|----------|
|
|||
|
|
| 2026-01-19 | 详细日志记录和查询实现 | REQ-010-15, 0024-logging | 日志记录和查询代码 | 代码质量良好 | 无 |
|