From de54b76829adb4e71617ff06df1756ab565289aa Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=90=AF=E8=88=AA?= <280645618@qq.com>
Date: Sun, 1 Feb 2026 11:53:13 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BC=98=E5=8C=96?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
api/erp-api/pom.xml | 6 +-
.../main/java/cn/qihangerp/erp/ErpApi.java | 1 +
.../erp/controller/ShopController.java | 4 +
.../erp/serviceImpl/DeepSeekService.java | 365 ++++++++++++++++++
.../serviceImpl/InventorySalesAnalyzer.java | 273 +++++++++++++
.../src/main/resources/application.yml | 8 +-
api/oms-api/libs/open-sdk-2.1.11.jar | Bin 640082 -> 0 bytes
.../sys/controller/SysLoginController.java | 2 +-
8 files changed, 656 insertions(+), 3 deletions(-)
create mode 100644 api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/DeepSeekService.java
create mode 100644 api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/InventorySalesAnalyzer.java
delete mode 100644 api/oms-api/libs/open-sdk-2.1.11.jar
diff --git a/api/erp-api/pom.xml b/api/erp-api/pom.xml
index 37e28fb9..2feec11c 100644
--- a/api/erp-api/pom.xml
+++ b/api/erp-api/pom.xml
@@ -78,7 +78,11 @@
security
1.0
-
+
+ com.squareup.okhttp3
+ okhttp
+ 4.12.0
+
diff --git a/api/erp-api/src/main/java/cn/qihangerp/erp/ErpApi.java b/api/erp-api/src/main/java/cn/qihangerp/erp/ErpApi.java
index cd39f9c3..13766a53 100644
--- a/api/erp-api/src/main/java/cn/qihangerp/erp/ErpApi.java
+++ b/api/erp-api/src/main/java/cn/qihangerp/erp/ErpApi.java
@@ -21,6 +21,7 @@ public class ErpApi {
{
System.out.println( "Hello erp-api!" );
SpringApplication.run(ErpApi.class, args);
+
}
@Bean
@LoadBalanced
diff --git a/api/erp-api/src/main/java/cn/qihangerp/erp/controller/ShopController.java b/api/erp-api/src/main/java/cn/qihangerp/erp/controller/ShopController.java
index 17c2f3e7..a9e6b93a 100644
--- a/api/erp-api/src/main/java/cn/qihangerp/erp/controller/ShopController.java
+++ b/api/erp-api/src/main/java/cn/qihangerp/erp/controller/ShopController.java
@@ -6,6 +6,7 @@ import cn.qihangerp.module.service.OLogisticsCompanyService;
import cn.qihangerp.module.service.OShopPlatformService;
import cn.qihangerp.module.service.OShopService;
import cn.qihangerp.erp.request.ShopBo;
+import com.alibaba.fastjson2.JSONArray;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import cn.qihangerp.common.AjaxResult;
import cn.qihangerp.common.TableDataInfo;
@@ -14,7 +15,9 @@ import lombok.AllArgsConstructor;
import org.springframework.security.access.prepost.PreAuthorize;
import org.springframework.web.bind.annotation.*;
import java.util.Arrays;
+import java.util.HashMap;
import java.util.List;
+import java.util.Map;
/**
* 店铺Controller
@@ -30,6 +33,7 @@ public class ShopController extends BaseController {
private final OShopService shopService;
private final OShopPlatformService platformService;
+
/**
* 查询店铺列表logistics
*/
diff --git a/api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/DeepSeekService.java b/api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/DeepSeekService.java
new file mode 100644
index 00000000..4dddf36f
--- /dev/null
+++ b/api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/DeepSeekService.java
@@ -0,0 +1,365 @@
+//package cn.qihangerp.erp.serviceImpl;
+//
+//import com.fasterxml.jackson.databind.ObjectMapper;
+//import jakarta.annotation.PostConstruct;
+//import okhttp3.*;
+//import org.slf4j.Logger;
+//import org.slf4j.LoggerFactory;
+//import org.springframework.beans.factory.annotation.Value;
+//import org.springframework.stereotype.Service;
+//import java.io.IOException;
+//import java.util.*;
+//import java.util.concurrent.TimeUnit;
+//
+//@Service
+//public class DeepSeekService {
+//
+// private static final Logger log = LoggerFactory.getLogger(DeepSeekService.class);
+// private static final MediaType JSON = MediaType.get("application/json; charset=utf-8");
+//
+// @Value("${deepseek.api.key}")
+// private String apiKey;
+//
+// @Value("${deepseek.api.endpoint:https://api.deepseek.com/v1/chat/completions}")
+// private String apiEndpoint;
+//
+// @Value("${deepseek.api.model:deepseek-chat}")
+// private String model;
+//
+// private OkHttpClient okHttpClient;
+// private final ObjectMapper objectMapper;
+//
+// // 缓存最近一次成功的分析结果
+// private Map cachedAnalysis = new HashMap<>();
+//
+// public DeepSeekService(ObjectMapper objectMapper) {
+// this.objectMapper = objectMapper;
+// }
+//
+// @PostConstruct
+// public void init() {
+// // 配置具有重试和连接池功能的OkHttpClient
+// this.okHttpClient = new OkHttpClient.Builder()
+// .connectTimeout(15, TimeUnit.SECONDS) // 连接超时
+// .readTimeout(30, TimeUnit.SECONDS) // 读取超时
+// .writeTimeout(15, TimeUnit.SECONDS) // 写入超时
+// .connectionPool(new ConnectionPool(5, 5, TimeUnit.MINUTES)) // 连接池
+// .addInterceptor(new RetryInterceptor(3)) // 自定义重试拦截器
+// .addInterceptor(new LoggingInterceptor()) // 日志拦截器
+// .build();
+// }
+//
+// /**
+// * 调用DeepSeek API - 带有Spring Retry重试机制
+// */
+//// @Retryable(
+//// value = {IOException.class, RuntimeException.class},
+//// maxAttempts = 3,
+//// backoff = @Backoff(delay = 1000, multiplier = 2, maxDelay = 10000)
+//// )
+// public Map analyzeData(Map formattedData, String analysisType) {
+// String cacheKey = generateCacheKey(formattedData, analysisType);
+//
+// try {
+// // 1. 构建请求体
+// String requestBody = buildRequestBody(formattedData, analysisType);
+// RequestBody body = RequestBody.create(requestBody, JSON);
+//
+// // 2. 构建请求
+// Request request = new Request.Builder()
+// .url(apiEndpoint)
+// .header("Authorization", "Bearer " + apiKey)
+// .header("Content-Type", "application/json")
+// .post(body)
+// .build();
+//
+// // 3. 执行请求并处理响应
+// try (Response response = okHttpClient.newCall(request).execute()) {
+// if (!response.isSuccessful()) {
+// handleErrorResponse(response, cacheKey);
+// }
+//
+// String responseBody = response.body().string();
+// Map result = parseResponse(responseBody, analysisType);
+//
+// // 缓存成功的结果
+// cacheSuccessfulResult(cacheKey, result);
+// return result;
+// }
+//
+// } catch (Exception e) {
+// log.error("调用DeepSeek API失败，尝试使用缓存或降级方案", e);
+// return getFallbackAnalysis(cacheKey, analysisType);
+// }
+// }
+//
+// /**
+// * 为补货建议优化的专用方法
+// */
+// public Map generateReplenishmentSuggestions(Map inventoryData) {
+// try {
+// String prompt = buildReplenishmentPrompt(inventoryData);
+//
+// Map requestBody = Map.of(
+// "model", model,
+// "messages", List.of(
+// Map.of("role", "system", "content",
+// "你是一个经验丰富的电商库存管理专家，擅长制定补货策略。"),
+// Map.of("role", "user", "content", prompt)
+// ),
+// "temperature", 0.2,
+// "max_tokens", 1500,
+// "response_format", Map.of("type", "json_object")
+// );
+//
+// String jsonBody = objectMapper.writeValueAsString(requestBody);
+//
+// Request request = new Request.Builder()
+// .url(apiEndpoint)
+// .header("Authorization", "Bearer " + apiKey)
+// .post(RequestBody.create(jsonBody, JSON))
+// .build();
+//
+// // 设置更短的超时时间，因为补货建议需要快速响应
+// OkHttpClient quickClient = okHttpClient.newBuilder()
+// .readTimeout(15, TimeUnit.SECONDS)
+// .build();
+//
+// try (Response response = quickClient.newCall(request).execute()) {
+// if (response.isSuccessful()) {
+// String responseBody = response.body().string();
+// return parseReplenishmentResponse(responseBody);
+// } else {
+// // 如果API失败，使用本地算法生成补货建议
+// return generateLocalReplenishmentSuggestions(inventoryData);
+// }
+// }
+//
+// } catch (Exception e) {
+// log.warn("AI补货建议失败，使用本地算法", e);
+// return generateLocalReplenishmentSuggestions(inventoryData);
+// }
+// }
+//
+// /**
+// * 本地补货算法 - 服务降级方案
+// */
+// private Map generateLocalReplenishmentSuggestions(Map inventoryData) {
+// List> products = (List>) inventoryData.get("data");
+// List> suggestions = new ArrayList<>();
+// int totalQuantity = 0;
+// double estimatedCost = 0.0;
+//
+// for (Map product : products) {
+// String status = (String) product.get("inventoryStatus");
+//
+// // 只处理需要补货的产品
+// if ("HEALTHY".equals(status) || "OVERSTOCK".equals(status)) {
+// continue;
+// }
+//
+// int currentStock = (int) product.getOrDefault("currentStock", 0);
+// int safetyStock = (int) product.getOrDefault("safetyStock", 100);
+// double avgDailySales = ((Integer) product.getOrDefault("avgDailySales", 10)).doubleValue();
+// double coverDays = (double) product.getOrDefault("coverDays", 0.0);
+//
+// Map suggestion = new HashMap<>();
+// suggestion.put("product_id", product.get("productId"));
+// suggestion.put("product_name", product.get("productName"));
+//
+// // 本地补货逻辑
+// int suggestedQty;
+// String urgency;
+//
+// if (currentStock <= 0) {
+// suggestedQty = (int) (avgDailySales * 30);
+// urgency = "紧急";
+// } else if (coverDays < 3) {
+// suggestedQty = (int) (avgDailySales * 15 - currentStock);
+// urgency = "高";
+// } else if (currentStock < safetyStock) {
+// suggestedQty = safetyStock * 2 - currentStock;
+// urgency = "中";
+// } else {
+// suggestedQty = (int) (avgDailySales * 7);
+// urgency = "低";
+// }
+//
+// suggestedQty = Math.max(suggestedQty, 10);
+// totalQuantity += suggestedQty;
+//
+// suggestion.put("suggested_quantity", suggestedQty);
+// suggestion.put("urgency", urgency);
+// suggestion.put("reason", "本地算法计算");
+// suggestion.put("expected_cover_days", suggestedQty / Math.max(avgDailySales, 1));
+//
+// suggestions.add(suggestion);
+// }
+//
+// return Map.of(
+// "success", true,
+// "source", "local_algorithm",
+// "replenishment_list", suggestions,
+// "total_replenishment_quantity", totalQuantity,
+// "analysis_summary", "基于本地规则生成的补货建议",
+// "recommendations", List.of(
+// "建议优先处理标记为'紧急'的商品",
+// "此为本地降级方案，AI分析恢复后将提供更精确建议"
+// )
+// );
+// }
+//
+// /**
+// * 自定义重试拦截器
+// */
+// private static class RetryInterceptor implements Interceptor {
+// private final int maxRetries;
+//
+// public RetryInterceptor(int maxRetries) {
+// this.maxRetries = maxRetries;
+// }
+//
+// @Override
+// public Response intercept(Chain chain) throws IOException {
+// Request request = chain.request();
+// Response response = null;
+// IOException exception = null;
+//
+// // 重试逻辑
+// for (int retryCount = 0; retryCount <= maxRetries; retryCount++) {
+// try {
+// response = chain.proceed(request);
+//
+// // 只有服务器错误(5xx)或特定客户端错误才重试
+// if (response.isSuccessful() ||
+// (response.code() != 503 && response.code() != 429 && response.code() != 408)) {
+// return response;
+// }
+//
+// log.warn("API请求失败，状态码: {}, 重试: {}/{}",
+// response.code(), retryCount, maxRetries);
+//
+// // 关闭响应体
+// response.close();
+//
+// } catch (IOException e) {
+// exception = e;
+// log.warn("网络异常，重试: {}/{}", retryCount, maxRetries, e);
+// }
+//
+// // 如果不是最后一次重试，等待一段时间
+// if (retryCount < maxRetries) {
+// try {
+// // 指数退避：1s, 2s, 4s...
+// long waitTime = (long) Math.pow(2, retryCount) * 1000;
+// Thread.sleep(waitTime);
+// } catch (InterruptedException e) {
+// Thread.currentThread().interrupt();
+// throw new IOException("重试被中断", e);
+// }
+// }
+// }
+//
+// if (exception != null) {
+// throw exception;
+// }
+//
+// return response;
+// }
+// }
+//
+// /**
+// * 日志拦截器
+// */
+// private static class LoggingInterceptor implements Interceptor {
+// @Override
+// public Response intercept(Chain chain) throws IOException {
+// Request request = chain.request();
+// long startTime = System.currentTimeMillis();
+//
+// log.debug("发送请求: {} {}", request.method(), request.url());
+//
+// Response response;
+// try {
+// response = chain.proceed(request);
+// } catch (IOException e) {
+// long duration = System.currentTimeMillis() - startTime;
+// log.error("请求失败: {} {} - 耗时: {}ms",
+// request.method(), request.url(), duration, e);
+// throw e;
+// }
+//
+// long duration = System.currentTimeMillis() - startTime;
+// log.info("收到响应: {} {} - 状态: {} - 耗时: {}ms",
+// request.method(), request.url(), response.code(), duration);
+//
+// return response;
+// }
+// }
+//
+// /**
+// * 错误处理
+// */
+// private void handleErrorResponse(Response response, String cacheKey) throws IOException {
+// int code = response.code();
+// String errorBody = response.body() != null ? response.body().string() : "无错误详情";
+//
+// log.error("DeepSeek API错误响应: 状态码={}, 错误信息={}", code, errorBody);
+//
+// // 根据错误类型处理
+// if (code == 401) {
+// throw new RuntimeException("API密钥无效或已过期");
+// } else if (code == 429) {
+// throw new RuntimeException("请求频率超限，请稍后重试");
+// } else if (code == 503) {
+// // 服务不可用，尝试使用缓存
+// if (cachedAnalysis.containsKey(cacheKey)) {
+// log.info("服务不可用，使用缓存结果");
+// throw new ServiceUnavailableException("服务不可用，已返回缓存结果");
+// }
+// throw new RuntimeException("DeepSeek服务暂时不可用，请稍后重试");
+// } else {
+// throw new RuntimeException(String.format("API请求失败: %d - %s", code, errorBody));
+// }
+// }
+//
+// /**
+// * 服务降级：获取缓存或基础分析
+// */
+// private Map getFallbackAnalysis(String cacheKey, String analysisType) {
+// // 1. 首先尝试缓存
+// if (cachedAnalysis.containsKey(cacheKey)) {
+// log.info("使用缓存的AI分析结果");
+// Map cached = (Map) cachedAnalysis.get(cacheKey);
+// cached.put("source", "cached");
+// return cached;
+// }
+//
+// // 2. 返回基础分析模板
+// log.info("返回基础分析模板");
+// return Map.of(
+// "success", false,
+// "source", "fallback_template",
+// "message", "AI分析服务暂时不可用",
+// "basic_analysis", Map.of(
+// "suggestion", "建议检查库存水平，重点关注缺货商品",
+// "generated_at", new Date()
+// ),
+// "recommendations", List.of(
+// "1. 优先处理库存为0的商品",
+// "2. 检查日销量高但库存低的商品",
+// "3. AI服务恢复后重新获取详细分析"
+// )
+// );
+// }
+//
+// // 其他辅助方法（buildRequestBody, parseResponse等）保持原有逻辑
+// // ...
+//}
+//
+//// 自定义异常类
+//class ServiceUnavailableException extends RuntimeException {
+// public ServiceUnavailableException(String message) {
+// super(message);
+// }
+//}
\ No newline at end of file
diff --git a/api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/InventorySalesAnalyzer.java b/api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/InventorySalesAnalyzer.java
new file mode 100644
index 00000000..ef4c5154
--- /dev/null
+++ b/api/erp-api/src/main/java/cn/qihangerp/erp/serviceImpl/InventorySalesAnalyzer.java
@@ -0,0 +1,273 @@
+package cn.qihangerp.erp.serviceImpl;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import okhttp3.*;
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import java.io.IOException;
+import java.util.*;
+import java.util.stream.Collectors;
+
+public class InventorySalesAnalyzer {
+
+ // 配置你的 DeepSeek API 信息
+ private static final String API_KEY = "sk-e1f3aecc45e44eca9451d5a659a4bc91";
+ private static final String API_URL = "https://api.deepseek.com/v1/chat/completions";
+
+ private static final MediaType JSON = MediaType.get("application/json; charset=utf-8");
+ private static final OkHttpClient client = new OkHttpClient.Builder()
+ .connectTimeout(30, java.util.concurrent.TimeUnit.SECONDS)
+ .readTimeout(60, java.util.concurrent.TimeUnit.SECONDS)
+ .build();
+ private static final ObjectMapper objectMapper = new ObjectMapper();
+
+ // 你的数据
+ private static final String INVENTORY_JSON = "[{\"id\":1,\"goods_title\":\"雷士照明led吸顶灯灯芯替换圆形灯板节能灯芯冷光高显护眼健康\",\"sku_name\":\"白光12W\",\"stock_num\":12},{\"id\":2,\"goods_title\":\"雷士照明led吸顶灯灯芯替换圆形灯板节能灯芯冷光高显护眼健康\",\"sku_name\":\"白光18W\",\"stock_num\":12},{\"id\":3,\"goods_title\":\"雷士照明led吸顶灯灯芯替换圆形灯板节能灯芯冷光高显护眼健康\",\"sku_name\":\"白光24W\",\"stock_num\":12},{\"id\":4,\"goods_title\":\"雷士照明led吸顶灯灯芯替换圆形灯板节能灯芯冷光高显护眼健康\",\"sku_name\":\"双色36W\",\"stock_num\":12}]";
+
+ private static final String SALES_JSON = "[{\"order_num\":\"1\",\"sku_id\":1,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":3,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":1,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":2,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":4,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":1,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":1,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":3,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":1,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":1,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"},{\"order_num\":\"1\",\"sku_id\":2,\"count\":1,\"item_amount\":29.32,\"order_time\":\"2025-05-24 23:19:51\"}]";
+
+ public static void main(String[] args) {
+ try {
+ System.out.println("开始分析库存与销售数据...\n");
+
+ // 1. 解析数据
+ List inventoryList = parseInventoryData();
+ List salesList = parseSalesData();
+
+ // 2. 分析数据并生成报告
+ String analysisResult = analyzeInventoryAndSales(inventoryList, salesList);
+
+ System.out.println("=== AI 分析报告 ===\n");
+ System.out.println(analysisResult);
+
+ } catch (Exception e) {
+ e.printStackTrace();
+ }
+ }
+
+ /**
+ * 核心分析方法
+ */
+ public static String analyzeInventoryAndSales(List inventory,
+ List sales) throws IOException {
+
+ // 1. 数据预处理：按 SKU ID 关联库存和销售数据
+ Map analysisMap = new HashMap<>();
+
+ // 初始化库存数据
+ for (InventoryItem item : inventory) {
+ SkuAnalysis analysis = new SkuAnalysis();
+ analysis.id = item.id;
+ analysis.goodsTitle = item.goodsTitle;
+ analysis.skuName = item.skuName;
+ analysis.stockNum = item.stockNum;
+ analysisMap.put(item.id, analysis);
+ }
+
+ // 统计销售数据
+ for (SalesOrder order : sales) {
+ if (analysisMap.containsKey(order.skuId)) {
+ SkuAnalysis analysis = analysisMap.get(order.skuId);
+ analysis.totalSales += order.count;
+ analysis.totalRevenue += order.itemAmount;
+ analysis.orderCount++;
+
+ // 记录销售时间（用于趋势分析）
+ analysis.salesTimes.add(order.orderTime);
+ }
+ }
+
+ // 2. 计算关键指标
+ for (SkuAnalysis analysis : analysisMap.values()) {
+ // 计算日均销量（假设数据是最近30天的）
+ analysis.dailyAvgSales = analysis.totalSales / 30.0;
+
+ // 计算可售天数
+ if (analysis.dailyAvgSales > 0) {
+ analysis.daysOfSupply = analysis.stockNum / analysis.dailyAvgSales;
+ } else {
+ analysis.daysOfSupply = 999; // 无销售
+ }
+
+ // 判断库存状态
+ analysis.stockStatus = determineStockStatus(analysis.stockNum, analysis.dailyAvgSales);
+ }
+
+ // 3. 构建 AI 分析提示词
+ String prompt = buildAnalysisPrompt(analysisMap);
+
+ // 4. 调用 DeepSeek API
+ return callDeepSeekAPI(prompt);
+ }
+
+ /**
+ * 构建 AI 分析提示词
+ */
+ private static String buildAnalysisPrompt(Map analysisMap) {
+ StringBuilder prompt = new StringBuilder();
+
+ prompt.append("你是一名专业的电商库存管理专家。请分析以下 LED 灯具产品的库存与销售数据，并提供专业的分析报告和建议：\n\n");
+
+ prompt.append("=== 数据概览 ===\n");
+ prompt.append("产品名称：雷士照明 LED 吸顶灯灯芯\n");
+ prompt.append("分析时间：").append(new Date()).append("\n\n");
+
+ prompt.append("=== 详细数据 ===\n");
+ prompt.append(String.format("%-8s %-12s %-8s %-8s %-12s %-10s %-15s\n",
+ "SKU ID", "规格", "库存量", "总销量", "总销售额", "可售天数", "库存状态"));
+ prompt.append("-".repeat(80)).append("\n");
+
+ for (SkuAnalysis analysis : analysisMap.values()) {
+ prompt.append(String.format("%-8d %-12s %-8d %-8d %-12.2f %-10.1f %-15s\n",
+ analysis.id,
+ analysis.skuName,
+ analysis.stockNum,
+ analysis.totalSales,
+ analysis.totalRevenue,
+ analysis.daysOfSupply,
+ analysis.stockStatus
+ ));
+ }
+
+ prompt.append("\n=== 分析要求 ===\n");
+ prompt.append("请基于以上数据，提供以下分析：\n");
+ prompt.append("1. **库存健康度分析**：评估每个SKU的库存状况，识别缺货风险\n");
+ prompt.append("2. **销售表现分析**：分析各规格产品的销售情况，找出畅销款和滞销款\n");
+ prompt.append("3. **补货建议**：\n");
+ prompt.append(" - 哪些SKU需要立即补货？建议补货数量？\n");
+ prompt.append(" - 哪些SKU库存过多？建议如何清理？\n");
+ prompt.append(" - 建议的安全库存水平\n");
+ prompt.append("4. **运营建议**：基于销售模式，给出采购、促销或产品组合建议\n\n");
+
+ prompt.append("请以专业报告格式回复，包含具体数据和理由。");
+
+ return prompt.toString();
+ }
+
+ /**
+ * 调用 DeepSeek API
+ */
+ private static String callDeepSeekAPI(String prompt) throws IOException {
+ // 构建请求体
+ Map requestBody = new HashMap<>();
+ requestBody.put("model", "deepseek-chat");
+ requestBody.put("messages", Arrays.asList(
+ Map.of("role", "user", "content", prompt)
+ ));
+ requestBody.put("temperature", 0.3); // 降低随机性，使分析更稳定
+ requestBody.put("max_tokens", 2000);
+
+ String jsonBody = objectMapper.writeValueAsString(requestBody);
+
+ // 创建请求
+ Request request = new Request.Builder()
+ .url(API_URL)
+ .header("Authorization", "Bearer " + API_KEY)
+ .header("Content-Type", "application/json")
+ .post(RequestBody.create(jsonBody, JSON))
+ .build();
+
+ // 发送请求（带重试机制）
+ for (int attempt = 0; attempt < 3; attempt++) {
+ try (Response response = client.newCall(request).execute()) {
+ if (response.isSuccessful()) {
+ String responseBody = response.body().string();
+ return extractContentFromResponse(responseBody);
+ } else if (response.code() == 429 || response.code() >= 500) {
+ // 频率限制或服务器错误，等待后重试
+ System.out.println("请求失败，状态码: " + response.code() + "，等待重试...");
+ Thread.sleep(2000 * (attempt + 1));
+ continue;
+ } else {
+ throw new IOException("API请求失败: " + response.code() + " - " + response.message());
+ }
+ } catch (InterruptedException e) {
+ Thread.currentThread().interrupt();
+ throw new IOException("请求被中断", e);
+ }
+ }
+
+ throw new IOException("API请求失败，已重试3次");
+ }
+
+ /**
+ * 从 API 响应中提取内容
+ */
+ private static String extractContentFromResponse(String responseBody) throws IOException {
+ Map responseMap = objectMapper.readValue(responseBody,
+ new TypeReference>() {});
+
+ List> choices = (List>) responseMap.get("choices");
+ if (choices != null && !choices.isEmpty()) {
+ Map choice = choices.get(0);
+ Map message = (Map) choice.get("message");
+ return (String) message.get("content");
+ }
+
+ return "未获取到有效回复";
+ }
+
+ /**
+ * 判断库存状态
+ */
+ private static String determineStockStatus(int stock, double dailySales) {
+ if (stock == 0) return "缺货";
+ if (dailySales == 0) return "滞销";
+
+ double daysOfSupply = stock / dailySales;
+
+ if (daysOfSupply < 7) return "急需补货";
+ if (daysOfSupply < 14) return "需要补货";
+ if (daysOfSupply < 30) return "库存正常";
+ if (daysOfSupply < 60) return "库存偏高";
+ return "库存积压";
+ }
+
+ // 数据解析方法
+ private static List parseInventoryData() throws IOException {
+ return objectMapper.readValue(INVENTORY_JSON,
+ new TypeReference>() {});
+ }
+
+ private static List parseSalesData() throws IOException {
+ return objectMapper.readValue(SALES_JSON,
+ new TypeReference>() {});
+ }
+
+ // 数据类定义
+ static class InventoryItem {
+ public int id;
+ @JsonProperty("goods_title")
+ public String goodsTitle;
+ @JsonProperty("sku_name")
+ public String skuName;
+ @JsonProperty("stock_num")
+ public int stockNum;
+ }
+
+ static class SalesOrder {
+ @JsonProperty("order_num")
+ public String orderNum;
+ @JsonProperty("sku_id")
+ public int skuId;
+ public int count;
+ @JsonProperty("item_amount")
+ public double itemAmount;
+ @JsonProperty("order_time")
+ public String orderTime;
+ }
+
+ static class SkuAnalysis {
+ public int id;
+ public String goodsTitle;
+ public String skuName;
+ public int stockNum;
+ public int totalSales = 0;
+ public double totalRevenue = 0.0;
+ public int orderCount = 0;
+ public double dailyAvgSales = 0.0;
+ public double daysOfSupply = 0.0;
+ public String stockStatus = "未知";
+ public List salesTimes = new ArrayList<>();
+ }
+}
\ No newline at end of file
diff --git a/api/erp-api/src/main/resources/application.yml b/api/erp-api/src/main/resources/application.yml
index 633e71fa..23ad8053 100644
--- a/api/erp-api/src/main/resources/application.yml
+++ b/api/erp-api/src/main/resources/application.yml
@@ -92,4 +92,10 @@ mybatis-plus:
mapper-locations: classpath*:mapper/**/*Mapper.xml
type-aliases-package: cn.qihangerp.oms.domain;cn.qihangerp.module.domain;cn.qihangerp.security.entity;
# configuration:
-# log-impl: org.apache.ibatis.logging.stdout.StdOutImpl # 开启sql日志
\ No newline at end of file
+# log-impl: org.apache.ibatis.logging.stdout.StdOutImpl # 开启sql日志
+
+deepseek:
+ api:
+ key:
+ endpoint: https://api.deepseek.com/chat/completions
+ model: deepseek-chat
\ No newline at end of file
diff --git a/api/oms-api/libs/open-sdk-2.1.11.jar b/api/oms-api/libs/open-sdk-2.1.11.jar
deleted file mode 100644
index 1a298475d557962a60407c91e85bfe24763f43d4..0000000000000000000000000000000000000000
GIT binary patch
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