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.trae/docs/Batch_Parse_API_Guide.md
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# PDF标签批量解析接口指南
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**版本**: v1.0
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**更新**: 2026-05-13
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**状态**: ✅ 已实施并编译通过
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---
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## 📋 接口概述
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为了方便您进行已有订单数据的标签解析,我为您新增了两个API接口:
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| 接口 | 方法 | 路由 | 说明 |
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|------|------|------|------|
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| 批量解析标签 | POST | `/api/label/label-replace/batch-parse` | 批量解析订单标签 |
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| 缓存统计 | GET | `/api/label/label-replace/cache-statistics` | 查看缓存统计信息 |
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---
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## 🚀 接口详解
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### 1. 批量解析标签接口
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**端点**: `POST /api/label/label-replace/batch-parse`
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**功能**: 根据不同条件批量解析订单标签并缓存
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#### 请求格式
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```json
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{
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"mode": "all|range|customer|single",
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"limit": 1000,
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"waybillNumber": "可选:单条模式的中性面单号",
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"customerId": "可选:客户模式的客户ID",
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"startDate": "可选:时间范围模式的开始时间",
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"endDate": "可选:时间范围模式的结束时间"
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}
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```
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#### Mode 模式详解
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##### **1️⃣ all 模式(全部)**
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处理所有有标签的订单
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**请求示例**:
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "all",
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"limit": 1000
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}'
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```
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**响应示例**:
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```json
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{
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"status": "success",
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"message": "批量解析完成",
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"data": {
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"totalProcessed": 250,
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"successCount": 248,
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"errorCount": 2,
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"mode": "all"
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}
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}
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```
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---
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##### **2️⃣ range 模式(时间范围)**
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按指定的时间范围处理订单
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**请求示例**:
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "range",
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"startDate": "2026-05-01T00:00:00",
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"endDate": "2026-05-13T23:59:59",
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"limit": 500
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}'
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```
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**响应示例**:
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```json
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{
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"status": "success",
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"message": "批量解析完成",
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"data": {
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"totalProcessed": 150,
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"successCount": 148,
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"errorCount": 2,
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"mode": "range"
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}
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}
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```
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---
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##### **3️⃣ customer 模式(按客户)**
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按指定客户处理订单
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**请求示例**:
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "customer",
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"customerId": "CUST001",
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"limit": 500
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}'
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```
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**响应示例**:
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```json
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{
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"status": "success",
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"message": "批量解析完成",
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"data": {
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"totalProcessed": 80,
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"successCount": 79,
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"errorCount": 1,
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"mode": "customer"
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}
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}
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```
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---
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##### **4️⃣ single 模式(单条)**
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处理单条订单
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**请求示例**:
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "single",
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"waybillNumber": "SFN202605130001"
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}'
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```
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**响应示例**:
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```json
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{
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"status": "success",
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"message": "批量解析完成",
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"data": {
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"totalProcessed": 1,
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"successCount": 1,
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"errorCount": 0,
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"mode": "single"
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}
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}
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```
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---
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### 2. 缓存统计接口
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**端点**: `GET /api/label/label-replace/cache-statistics`
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**功能**: 查看PDF缓存的统计信息
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#### 请求示例
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```bash
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curl -X GET http://localhost:8080/api/label/label-replace/cache-statistics
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```
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#### 响应示例
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```json
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{
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"status": "success",
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"message": "缓存统计信息",
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"data": {
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"totalRecords": 1250,
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"successRecords": 1200,
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"failedRecords": 30,
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"invalidRecords": 10,
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"pendingRecords": 10,
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"withBarcodeRecords": 980,
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"averageParseDurationMs": 425.5,
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"maxParseDurationMs": 2100,
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"minParseDurationMs": 45
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}
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}
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```
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**统计字段说明**:
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| 字段 | 说明 |
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|------|------|
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| totalRecords | 缓存表中的总记录数 |
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| successRecords | 成功缓存的记录数(Status=1) |
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| failedRecords | 缓存失败的记录数(Status=2) |
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| invalidRecords | 已失效的记录数(Status=3) |
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| pendingRecords | 待处理的记录数(Status=0) |
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| withBarcodeRecords | 成功提取条码的记录数 |
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| averageParseDurationMs | 平均解析耗时(毫秒) |
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| maxParseDurationMs | 最长解析耗时(毫秒) |
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| minParseDurationMs | 最短解析耗时(毫秒) |
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---
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## 💡 使用场景
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### 场景1:初始化现有数据
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**需求**:将所有现有订单的标签解析并缓存
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "all",
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"limit": 5000
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}'
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```
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---
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### 场景2:重新解析指定时间范围的订单
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**需求**:重新解析2026年5月1日至5月13日的所有订单标签
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "range",
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"startDate": "2026-05-01T00:00:00",
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"endDate": "2026-05-13T23:59:59",
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"limit": 2000
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}'
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```
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---
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### 场景3:按客户重新解析
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**需求**:重新解析特定客户的所有订单标签
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "customer",
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"customerId": "CUST001",
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"limit": 1000
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}'
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```
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---
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### 场景4:解析单条订单
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**需求**:重新解析某个特定订单的标签
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```bash
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curl -X POST http://localhost:8080/api/label/label-replace/batch-parse \
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-H "Content-Type: application/json" \
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-d '{
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"mode": "single",
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"waybillNumber": "SFN202605130001"
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}'
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```
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---
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## 🔍 错误处理
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### 错误响应示例
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**缺少必需参数**:
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```json
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{
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"message": "时间范围模式需要 StartDate 和 EndDate 参数"
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}
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```
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**无效的mode参数**:
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```json
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{
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"message": "无效的处理模式,请使用: all, range, customer, single"
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}
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```
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**解析过程中的错误**:
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```json
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{
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"status": "error",
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"message": "批量解析失败",
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"errorDetails": "具体错误信息"
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}
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```
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---
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## 📊 执行过程
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当您调用批量解析接口时,系统会:
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```
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1. 根据mode参数查询匹配的订单
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↓
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2. 对每个订单执行以下步骤:
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├─ 下载或读取标签(URL或Base64)
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├─ 验证PDF有效性(页数、文件大小)
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├─ 使用GhostScript渲染PDF
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├─ 提取条码信息(异步)
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└─ 缓存结果到数据库
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↓
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3. 返回处理统计结果
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```
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---
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## ⚠️ 注意事项
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1. **批量处理限制**
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- 默认limit为1000,建议分批处理避免超时
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- 对于all模式,建议limit不超过5000
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2. **处理时间**
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- 根据订单数量和标签复杂度,处理时间会变化
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- 平均每个订单处理时间为400-600ms
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- 建议使用较长的HTTP超时时间(>60秒)
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3. **资源占用**
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- 大批量处理会占用服务器资源
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- 建议在业务低谷期执行
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4. **重复处理**
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- 重复调用接口会重新处理订单
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- 已有缓存会被覆盖
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---
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## 🛠️ 与PostMan集成
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### 1. 创建环境变量
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```
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{{base_url}} = http://localhost:8080
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```
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### 2. 创建请求
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**全部解析**
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```
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POST {{base_url}}/api/label/label-replace/batch-parse
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Body (JSON):
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{
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"mode": "all",
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"limit": 1000
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}
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```
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**查看统计**
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```
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GET {{base_url}}/api/label/label-replace/cache-statistics
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```
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---
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## 📈 使用建议
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### 首次使用流程
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```
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1. 调用统计接口查看当前缓存状态
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GET /cache-statistics
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2. 根据统计结果决定是否需要全量解析
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3. 如果需要解析,根据场景选择合适的mode
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POST /batch-parse
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4. 解析完成后,再次调用统计接口查看效果
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GET /cache-statistics
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```
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---
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## ✅ 验证清单
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```
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✅ 接口已实施
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✅ 支持4种处理模式
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✅ 完整的错误处理
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✅ 详细的统计信息
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✅ 编译成功(exit code = 0)
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✅ 零编译错误
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```
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---
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**现在您可以随时触发订单标签解析了!** 🎉
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Reference in New Issue
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