feat: 删除冗余接口

klp-admin/src/main/resources/application.yml

@@ -301,3 +301,30 @@ flowable:
 tesseract:
   data-path: D:/tessdata  # Windows开发环境
   # datapath: /opt/tessdata  # Linux生产环境
+
+
+# 图片识别配置
+image:
+  recognition:
+    # AI API配置
+    api-url: https://api.siliconflow.cn/v1/chat/completions
+    model-name: Qwen/Qwen2.5-VL-32B-Instruct
+    api-key: sk-sbmuklhrcxqlsucufqebiibauflxqfdafqjxaedtwirurtrc
+    max-retries: 3
+    temperature: 0.0
+    max-tokens: 4096
+
+    # 图片处理配置
+    max-image-dimension: 512
+    image-quality: 60
+
+# 销售话术生成器配置
+sales:
+  script:
+    ai:
+      # DeepSeek API配置
+      api-key: sk-5eb55d2fb2cc4fe58a0150919a1f0d70
+      base-url: https://api.deepseek.com/v1
+      model-name: deepseek-chat
+      max-retries: 3
+      temperature: 1.0

klp-common/src/main/java/com/klp/common/config/DeepseekConfig.java

@@ -0,0 +1,21 @@
+package com.klp.common.config;
+
+import lombok.Data;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.stereotype.Component;
+
+@Data
+@Component
+@ConfigurationProperties(prefix = "sales.script.ai")
+public class DeepseekConfig {
+
+    private String apiKey;
+
+    private String baseUrl;
+
+    private String modelName;
+
+    private Integer maxRetries;
+
+    private Double temperature;
+}

klp-common/src/main/java/com/klp/common/config/ImageRecognitionConfig.java

@@ -0,0 +1,27 @@
+package com.klp.common.config;
+
+import lombok.Data;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.stereotype.Component;
+
+@Data
+@Component
+@ConfigurationProperties(prefix = "image.recognition")
+public class ImageRecognitionConfig {
+
+    /**
+     * AI API配置
+     */
+    private String apiUrl;
+    private String modelName;
+    private String apiKey;
+    private Integer maxRetries = 3;
+    private Double temperature = 0.0;
+    private Integer maxTokens = 4096;
+
+    /**
+     * 图片处理配置
+     */
+    private Integer maxImageDimension = 512;
+    private Integer imageQuality = 60;
+}

klp-common/src/main/java/com/klp/common/config/RestTemplateConfig.java

@@ -1,4 +1,4 @@
-package com.klp.config;
+package com.klp.common.config;
 
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;

klp-common/src/main/java/com/klp/common/config/SalesScriptConfig.java

@@ -1,4 +1,4 @@
-package com.klp.config;
+package com.klp.common.config;
 
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;

klp-wms/src/main/java/com/klp/config/ImageRecognitionConfig.java

@@ -1,96 +0,0 @@
-package com.klp.config;
-
-import org.springframework.boot.context.properties.ConfigurationProperties;
-import org.springframework.context.annotation.Configuration;
-
-/**
- * 图片识别配置类
- *
- * @author klp
- * @date 2025-01-27
- */
-@Configuration
-@ConfigurationProperties(prefix = "image.recognition")
-public class ImageRecognitionConfig {
-
-    /**
-     * AI API配置
-     */
-    private String apiUrl = "https://api.siliconflow.cn/v1/chat/completions";
-    private String modelName = "Qwen/Qwen2.5-VL-72B-Instruct";
-    private String apiKey = "sk-sbmuklhrcxqlsucufqebiibauflxqfdafqjxaedtwirurtrc";
-    private Integer maxRetries = 3;
-    private Double temperature = 0.0;
-    private Integer maxTokens = 4096;
-
-    /**
-     * 图片处理配置
-     */
-    private Integer maxImageDimension = 512;
-    private Integer imageQuality = 60;
-
-    // Getters and Setters
-    public String getApiUrl() {
-        return apiUrl;
-    }
-
-    public void setApiUrl(String apiUrl) {
-        this.apiUrl = apiUrl;
-    }
-
-    public String getModelName() {
-        return modelName;
-    }
-
-    public void setModelName(String modelName) {
-        this.modelName = modelName;
-    }
-
-    public String getApiKey() {
-        return apiKey;
-    }
-
-    public void setApiKey(String apiKey) {
-        this.apiKey = apiKey;
-    }
-
-    public Integer getMaxRetries() {
-        return maxRetries;
-    }
-
-    public void setMaxRetries(Integer maxRetries) {
-        this.maxRetries = maxRetries;
-    }
-
-    public Double getTemperature() {
-        return temperature;
-    }
-
-    public void setTemperature(Double temperature) {
-        this.temperature = temperature;
-    }
-
-    public Integer getMaxTokens() {
-        return maxTokens;
-    }
-
-    public void setMaxTokens(Integer maxTokens) {
-        this.maxTokens = maxTokens;
-    }
-
-    public Integer getMaxImageDimension() {
-        return maxImageDimension;
-    }
-
-    public void setMaxImageDimension(Integer maxImageDimension) {
-        this.maxImageDimension = maxImageDimension;
-    }
-
-    public Integer getImageQuality() {
-        return imageQuality;
-    }
-
-    public void setImageQuality(Integer imageQuality) {
-        this.imageQuality = imageQuality;
-    }
-} 

klp-wms/src/main/java/com/klp/controller/WmsSalesScriptGeneratorController.java

@@ -63,95 +63,5 @@ public class WmsSalesScriptGeneratorController extends BaseController {
         return R.ok(result);
     }
 
-    /**
-     * 测试AI连接
-     */
-    @GetMapping("/testConnection")
-    public R<Map<String, Object>> testConnection() {
-        Map<String, Object> result = iWmsSalesScriptGeneratorService.testAiConnection();
-        return R.ok(result);
-    }
 
-    /**
-     * 获取生成配置
-     */
-    @GetMapping("/config")
-    public R<Map<String, Object>> getConfig() {
-        Map<String, Object> config = iWmsSalesScriptGeneratorService.getGenerationConfig();
-        return R.ok(config);
-    }
-
-    /**
-     * 更新生成配置
-     */
-    @Log(title = "更新话术生成配置", businessType = BusinessType.UPDATE)
-    @PostMapping("/config")
-    public R<Void> updateConfig(@RequestBody Map<String, Object> config) {
-        iWmsSalesScriptGeneratorService.updateGenerationConfig(config);
-        return R.ok();
-    }
-
-    /**
-     * 获取可用的产品列表
-     */
-    @GetMapping("/availableProducts")
-    public R<List<Map<String, Object>>> getAvailableProducts() {
-        List<Map<String, Object>> products = iWmsSalesScriptGeneratorService.getAvailableProducts();
-        return R.ok(products);
-    }
-
-    /**
-     * 获取生成历史
-     */
-    @GetMapping("/history")
-    public TableDataInfo<Map<String, Object>> getGenerationHistory(PageQuery pageQuery) {
-        return iWmsSalesScriptGeneratorService.getGenerationHistory(pageQuery);
-    }
-
-    /**
-     * 重新生成指定话术
-     */
-    @Log(title = "重新生成话术", businessType = BusinessType.UPDATE)
-    @PostMapping("/regenerate/{scriptId}")
-    public R<WmsProductSalesScriptVo> regenerateScript(@NotNull(message = "话术ID不能为空")
-                                                       @PathVariable Long scriptId) {
-        WmsProductSalesScriptVo script = iWmsSalesScriptGeneratorService.regenerateScript(scriptId);
-        return R.ok(script);
-    }
-
-    /**
-     * 预览话术生成（不保存到数据库）
-     */
-    @PostMapping("/preview")
-    public R<List<Map<String, Object>>> previewScripts(@RequestBody WmsSalesScriptGeneratorBo bo) {
-        List<Map<String, Object>> previews = iWmsSalesScriptGeneratorService.previewScripts(bo);
-        return R.ok(previews);
-    }
-
-    /**
-     * 获取客户类型列表
-     */
-    @GetMapping("/customerTypes")
-    public R<List<Map<String, Object>>> getCustomerTypes() {
-        List<Map<String, Object>> customerTypes = iWmsSalesScriptGeneratorService.getCustomerTypes();
-        return R.ok(customerTypes);
-    }
-
-    /**
-     * 获取产品特性关键词
-     */
-    @GetMapping("/featureKeywords")
-    public R<List<String>> getFeatureKeywords() {
-        List<String> keywords = iWmsSalesScriptGeneratorService.getFeatureKeywords();
-        return R.ok(keywords);
-    }
-
-    /**
-     * 分析产品信息并生成话术建议
-     */
-    @PostMapping("/analyzeProduct")
-    public R<Map<String, Object>> analyzeProduct(@RequestBody WmsSalesScriptGeneratorBo bo) {
-        Map<String, Object> analysis = iWmsSalesScriptGeneratorService.analyzeProduct(bo);
-        return R.ok(analysis);
-    }
 }

klp-wms/src/main/java/com/klp/domain/bo/WmsSalesScriptGeneratorBo.java

@@ -35,7 +35,7 @@ public class WmsSalesScriptGeneratorBo extends BaseEntity {
      */
     @Min(value = 1, message = "话术数量最少为1")
     @Max(value = 10, message = "话术数量最多为10")
-    private Integer scriptCount = 5;
+    private Integer scriptCount = 1;
 
     /**
      * 客户类型列表
@@ -45,7 +45,7 @@ public class WmsSalesScriptGeneratorBo extends BaseEntity {
     /**
      * 是否保存到数据库
      */
-    private Boolean saveToDatabase = true;
+    private Boolean saveToDatabase = false;
 
     /**
      * 生成模式：single(单个产品), batch(批量产品), preview(预览模式)

klp-wms/src/main/java/com/klp/domain/vo/ImageRecognitionVo.java

@@ -27,21 +27,6 @@ public class ImageRecognitionVo implements Serializable {
      */
     private String recognitionType;
 
-    /**
-     * 识别结果
-     */
-    private String recognizedText;
-
-    /**
-     * 结构化识别结果（JSON格式）
-     */
-    private Map<String, Object> structuredResult;
-
-    /**
-     * BOM信息列表
-     */
-    private List<BomItemVo> bomItems;
-
     /**
      * 识别结果属性列表
      */

klp-wms/src/main/java/com/klp/service/IWmsSalesScriptGeneratorService.java

@@ -40,77 +40,4 @@ public interface IWmsSalesScriptGeneratorService {
      */
     Map<String, Object> generateScriptsForProductIds(WmsSalesScriptGeneratorBo bo);
 
-    /**
-     * 测试AI连接
-     *
-     * @return 测试结果
-     */
-    Map<String, Object> testAiConnection();
-
-    /**
-     * 获取生成配置
-     *
-     * @return 配置信息
-     */
-    Map<String, Object> getGenerationConfig();
-
-    /**
-     * 更新生成配置
-     *
-     * @param config 配置信息
-     */
-    void updateGenerationConfig(Map<String, Object> config);
-
-    /**
-     * 获取可用的产品列表
-     *
-     * @return 产品列表
-     */
-    List<Map<String, Object>> getAvailableProducts();
-
-    /**
-     * 获取生成历史
-     *
-     * @param pageQuery 分页查询
-     * @return 历史记录
-     */
-    TableDataInfo<Map<String, Object>> getGenerationHistory(PageQuery pageQuery);
-
-    /**
-     * 重新生成指定话术
-     *
-     * @param scriptId 话术ID
-     * @return 重新生成的话术
-     */
-    WmsProductSalesScriptVo regenerateScript(Long scriptId);
-
-    /**
-     * 预览话术生成（不保存到数据库）
-     *
-     * @param bo 生成参数
-     * @return 预览话术列表
-     */
-    List<Map<String, Object>> previewScripts(WmsSalesScriptGeneratorBo bo);
-
-    /**
-     * 获取客户类型列表
-     *
-     * @return 客户类型列表
-     */
-    List<Map<String, Object>> getCustomerTypes();
-
-    /**
-     * 获取产品特性关键词
-     *
-     * @return 关键词列表
-     */
-    List<String> getFeatureKeywords();
-
-    /**
-     * 分析产品信息并生成话术建议
-     *
-     * @param bo 分析参数
-     * @return 分析结果
-     */
-    Map<String, Object> analyzeProduct(WmsSalesScriptGeneratorBo bo);
 }

klp-wms/src/main/java/com/klp/service/impl/ImageRecognitionServiceImpl.java

@@ -2,7 +2,7 @@ package com.klp.service.impl;
 
 import com.fasterxml.jackson.core.JsonProcessingException;
 import com.fasterxml.jackson.databind.ObjectMapper;
-import com.klp.config.ImageRecognitionConfig;
+import com.klp.common.config.ImageRecognitionConfig;
 import com.klp.domain.bo.ImageRecognitionBo;
 import com.klp.domain.vo.AttributeVo;
 import com.klp.domain.vo.ImageRecognitionVo;
@@ -87,28 +87,18 @@ public class ImageRecognitionServiceImpl implements IImageRecognitionService {
         ImageRecognitionVo result = new ImageRecognitionVo();
         result.setImageUrl(bo.getImageUrl());
         result.setRecognitionType("bom");
-        result.setRecognizedText(aiResponse);
 
-        // 解析识别结果
+        // 直接解析属性数组
-        try {
+        List<AttributeVo> attributes = parseAttributesResponse(aiResponse);
-            // 直接解析属性数组
+        result.setAttributes(attributes);
-            List<AttributeVo> attributes = parseAttributesResponse(aiResponse);
-            result.setAttributes(attributes);
 
-            // 构建结构化结果
+        // 构建结构化结果
-            Map<String, Object> structuredResult = new HashMap<>();
+        Map<String, Object> structuredResult = new HashMap<>();
-            structuredResult.put("attributes", attributes);
+        structuredResult.put("attributes", attributes);
-            structuredResult.put("summary", "材料质保单识别结果");
+        structuredResult.put("summary", "材料质保单识别结果");
-            structuredResult.put("totalItems", attributes.size());
+        structuredResult.put("totalItems", attributes.size());
-            result.setStructuredResult(structuredResult);
 
-            // BOM项目为空，因为这是质保单识别
-            result.setBomItems(new ArrayList<>());
 
-        } catch (Exception e) {
-            log.warn("解析识别响应失败: {}", e.getMessage());
-            result.setRecognizedText(aiResponse);
-        }
 
         return result;
     }
@@ -120,7 +110,6 @@ public class ImageRecognitionServiceImpl implements IImageRecognitionService {
         ImageRecognitionVo result = new ImageRecognitionVo();
         result.setImageUrl(bo.getImageUrl());
         result.setRecognitionType("text");
-        result.setRecognizedText(aiResponse);
 
         return result;
     }
@@ -136,8 +125,6 @@ public class ImageRecognitionServiceImpl implements IImageRecognitionService {
         ImageRecognitionVo result = new ImageRecognitionVo();
         result.setImageUrl(bo.getImageUrl());
         result.setRecognitionType("general");
-        result.setRecognizedText(aiResponse);
-
         return result;
     }
 

klp-wms/src/main/java/com/klp/service/impl/WmsSalesScriptGeneratorServiceImpl.java

@@ -1,5 +1,6 @@
 package com.klp.service.impl;
 
+import com.klp.common.config.DeepseekConfig;
 import com.klp.common.core.page.TableDataInfo;
 import com.klp.common.core.domain.PageQuery;
 import com.klp.common.utils.StringUtils;
@@ -23,6 +24,7 @@ import org.springframework.web.client.RestTemplate;
 import org.springframework.http.*;
 import org.springframework.http.client.SimpleClientHttpRequestFactory;
 
+import javax.annotation.Resource;
 import java.util.*;
 import java.util.concurrent.CompletableFuture;
 import java.util.concurrent.ExecutorService;
@@ -43,31 +45,11 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
 
     private final IWmsProductService iWmsProductService;
     private final IWmsProductBomService iWmsProductBomService;
-    private final IWmsProductSalesScriptService iWmsProductSalesScriptService;
-//    private final RedisUtils redisUtils;
     @Qualifier("salesScriptRestTemplate")
     private final RestTemplate restTemplate;
 
-    // AI配置
+    @Resource
-    @Value("${sales.script.ai.api-key:sk-5eb55d2fb2cc4fe58a0150919a1f0d70}")
+    private DeepseekConfig deepseekConfig;
-    private String apiKey;
-
-    @Value("${sales.script.ai.base-url:https://api.deepseek.com/v1}")
-    private String baseUrl;
-
-    @Value("${sales.script.ai.model-name:deepseek-chat}")
-    private String modelName;
-
-    @Value("${sales.script.ai.max-retries:3}")
-    private Integer maxRetries;
-
-    @Value("${sales.script.ai.temperature:1.0}")
-    private Double temperature;
-
-    // 客户类型配置
-    private static final List<String> CUSTOMER_TYPES = Arrays.asList(
-        "技术型客户", "价格敏感型客户", "质量优先型客户", "批量采购客户", "定制化需求客户"
-    );
 
     // 产品特性关键词
     private static final List<String> FEATURE_KEYWORDS = Arrays.asList(
@@ -211,168 +193,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
         return result;
     }
 
-    @Override
-    public Map<String, Object> testAiConnection() {
-        Map<String, Object> result = new HashMap<>();
-        try {
-            // 构建测试请求
-            Map<String, Object> requestBody = new HashMap<>();
-            requestBody.put("model", modelName);
-            Map<String, String> message = new HashMap<>();
-            message.put("role", "user");
-            message.put("content", "你好");
-            requestBody.put("messages", Arrays.asList(message));
-            requestBody.put("max_tokens", 10);
-
-            HttpHeaders headers = new HttpHeaders();
-            headers.setContentType(MediaType.APPLICATION_JSON);
-            headers.setBearerAuth(apiKey);
-
-            HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);
-            ResponseEntity<Map> response = restTemplate.postForEntity(
-                baseUrl + "/chat/completions", entity, Map.class);
-
-            result.put("success", true);
-            result.put("message", "AI连接测试成功");
-            result.put("response", response.getBody());
-        } catch (Exception e) {
-            log.error("AI连接测试失败", e);
-            result.put("success", false);
-            result.put("message", "AI连接测试失败: " + e.getMessage());
-        }
-        return result;
-    }
-
-    @Override
-    public Map<String, Object> getGenerationConfig() {
-        Map<String, Object> config = new HashMap<>();
-        config.put("apiKey", StringUtils.isNotEmpty(apiKey) ? apiKey.substring(0, 10) + "..." : "");
-        config.put("baseUrl", baseUrl);
-        config.put("modelName", modelName);
-        config.put("maxRetries", maxRetries);
-        config.put("temperature", temperature);
-        config.put("customerTypes", CUSTOMER_TYPES);
-        config.put("featureKeywords", FEATURE_KEYWORDS);
-        return config;
-    }
-
-    @Override
-    public void updateGenerationConfig(Map<String, Object> config) {
-        // 这里可以实现配置更新逻辑
-        // 可以将配置保存到数据库或配置文件中
-        log.info("更新生成配置: {}", config);
-    }
-
-    @Override
-    public List<Map<String, Object>> getAvailableProducts() {
-        List<Map<String, Object>> products = new ArrayList<>();
-        try {
-            List<WmsProductVo> productList = iWmsProductService.queryList(new com.klp.domain.bo.WmsProductBo());
-            for (WmsProductVo product : productList) {
-                if (product.getIsEnabled() != null && product.getIsEnabled() == 1) {
-                    Map<String, Object> productMap = new HashMap<>();
-                    productMap.put("productId", product.getProductId());
-                    productMap.put("productName", product.getProductName());
-                    productMap.put("productCode", product.getProductCode());
-                    productMap.put("owner", product.getOwner());
-                    products.add(productMap);
-                }
-            }
-        } catch (Exception e) {
-            log.error("获取可用产品列表失败", e);
-        }
-        return products;
-    }
-
-    @Override
-    public TableDataInfo<Map<String, Object>> getGenerationHistory(PageQuery pageQuery) {
-        // 这里可以实现生成历史查询逻辑
-        // 可以创建一个专门的表来记录生成历史
-        TableDataInfo<Map<String, Object>> result = new TableDataInfo<>();
-        result.setRows(new ArrayList<>());
-        result.setTotal(0L);
-        return result;
-    }
-
-    @Override
-    public WmsProductSalesScriptVo regenerateScript(Long scriptId) {
-        // 获取原话术信息
-        WmsProductSalesScriptVo originalScript = iWmsProductSalesScriptService.queryById(scriptId);
-        if (originalScript == null) {
-            throw new RuntimeException("话术不存在");
-        }
-
-        // 重新生成话术
-        WmsSalesScriptGeneratorBo bo = new WmsSalesScriptGeneratorBo();
-        bo.setProductId(originalScript.getProductId());
-        bo.setScriptCount(1);
-        bo.setSaveToDatabase(false);
-
-        List<WmsProductSalesScriptVo> newScripts = generateScriptsForProduct(bo);
-        if (!newScripts.isEmpty()) {
-            return newScripts.get(0);
-        }
-
-        throw new RuntimeException("重新生成话术失败");
-    }
-
-    @Override
-    public List<Map<String, Object>> previewScripts(WmsSalesScriptGeneratorBo bo) {
-        bo.setSaveToDatabase(false);
-        List<WmsProductSalesScriptVo> scripts = generateScriptsForProduct(bo);
-
-        List<Map<String, Object>> previews = new ArrayList<>();
-        for (WmsProductSalesScriptVo script : scripts) {
-            Map<String, Object> preview = new HashMap<>();
-            preview.put("title", script.getScriptTitle());
-            preview.put("content", script.getScriptContent());
-            preview.put("featurePoint", script.getFeaturePoint());
-            previews.add(preview);
-        }
-        return previews;
-    }
-
-    @Override
-    public List<Map<String, Object>> getCustomerTypes() {
-        List<Map<String, Object>> customerTypes = new ArrayList<>();
-        for (String type : CUSTOMER_TYPES) {
-            Map<String, Object> customerType = new HashMap<>();
-            customerType.put("type", type);
-            customerType.put("description", getCustomerTypeDescription(type));
-            customerTypes.add(customerType);
-        }
-        return customerTypes;
-    }
-
-    @Override
-    public List<String> getFeatureKeywords() {
-        return new ArrayList<>(FEATURE_KEYWORDS);
-    }
-
-    @Override
-    public Map<String, Object> analyzeProduct(WmsSalesScriptGeneratorBo bo) {
-        Map<String, Object> analysis = new HashMap<>();
-        try {
-            WmsProductVo product = iWmsProductService.queryById(bo.getProductId());
-            if (product == null) {
-                throw new RuntimeException("产品不存在");
-            }
-
-            List<WmsProductBom> bomList = iWmsProductBomService.listByProductId(bo.getProductId());
-
-            // 分析产品特性
-            analysis.put("productInfo", product);
-            analysis.put("bomInfo", bomList);
-            analysis.put("suggestedCustomerTypes", suggestCustomerTypes(product, bomList));
-            analysis.put("suggestedFeatures", extractFeatures(product, bomList));
-            analysis.put("suggestedScriptCount", 5);
-
-        } catch (Exception e) {
-            log.error("分析产品失败", e);
-            analysis.put("error", e.getMessage());
-        }
-        return analysis;
-    }
 
     /**
      * 调用AI API
@@ -381,7 +201,7 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
         String prompt = buildPrompt(product, bomList, bo);
 
         Map<String, Object> requestBody = new HashMap<>();
-        requestBody.put("model", modelName);
+        requestBody.put("model", deepseekConfig.getModelName());
         Map<String, String> systemMessage = new HashMap<>();
         systemMessage.put("role", "system");
         systemMessage.put("content", "你是一名专业的销售话术专家");
@@ -396,14 +216,14 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
 
         HttpHeaders headers = new HttpHeaders();
         headers.setContentType(MediaType.APPLICATION_JSON);
-        headers.setBearerAuth(apiKey);
+        headers.setBearerAuth(deepseekConfig.getApiKey());
 
         HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);
 
         for (int i = 0; i < bo.getMaxRetries(); i++) {
             try {
                 ResponseEntity<Map> response = restTemplate.postForEntity(
-                    baseUrl + "/chat/completions", entity, Map.class);
+                    deepseekConfig.getBaseUrl() + "/chat/completions", entity, Map.class);
 
                 if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) {
                     Map<String, Object> body = response.getBody();
@@ -421,7 +241,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
                 }
             }
         }
-
         throw new RuntimeException("AI API调用失败，已达到最大重试次数");
     }
 
@@ -430,8 +249,10 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
      */
     private String buildPrompt(WmsProductVo product, List<WmsProductBom> bomList, WmsSalesScriptGeneratorBo bo) {
         StringBuilder prompt = new StringBuilder();
-        prompt.append("请根据以下产品信息和BOM清单，生成").append(bo.getScriptCount()).append("条针对不同客户场景的销售话术。\n\n").append("不要给我加称呼\n");
+        prompt.append("请根据以下产品信息和BOM清单，生成")
-
+            .append(bo.getScriptCount())
+            .append("条针对不同客户场景的销售话术。\n\n")
+            .append("不要给我加称呼\n");
         // 产品信息
         prompt.append("【产品信息】\n");
         prompt.append("产品名称：").append(product.getProductName()).append("\n");
@@ -450,7 +271,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
         if (StringUtils.isNotEmpty(product.getRemark())) {
             prompt.append("备注：").append(product.getRemark()).append("\n");
         }
-
         // BOM信息
         if (Boolean.TRUE.equals(bo.getIncludeBomInfo()) && bomList != null && !bomList.isEmpty()) {
             prompt.append("\n【BOM清单】\n");
@@ -460,7 +280,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
                       .append(" ").append(bom.getUnit()).append("\n");
             }
         }
-
         // 生成要求
         prompt.append("\n【话术生成要求】\n");
         prompt.append("1. 每条话术必须包含产品的主要特性和优势\n");
@@ -469,7 +288,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
         prompt.append("4. 话术要自然、专业、有说服力\n");
         prompt.append("5. 包含具体的应用场景和解决方案\n");
         prompt.append("6. 突出产品的核心竞争力\n");
-
         // 输出格式
         prompt.append("\n【输出格式】\n");
         prompt.append("请按以下格式输出：\n\n");
@@ -478,7 +296,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
             prompt.append("标题：").append(product.getProductName()).append(" - 话术标题\n");
             prompt.append("内容：[具体话术内容]\n\n");
         }
-
         return prompt.toString();
     }
 
@@ -487,11 +304,9 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
      */
     private List<Map<String, Object>> parseAiResponse(String response) {
         List<Map<String, Object>> scripts = new ArrayList<>();
-
         // 使用正则表达式解析响应
         Pattern pattern = Pattern.compile("【话术(\\d+)】(.*?)\\n标题：(.*?)\\n内容：(.*?)(?=\\n【话术|\\Z)", Pattern.DOTALL);
         Matcher matcher = pattern.matcher(response);
-
         while (matcher.find()) {
             Map<String, Object> script = new HashMap<>();
             script.put("customerType", matcher.group(2).trim());
@@ -500,7 +315,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
             script.put("featurePoint", extractFeaturePoints(matcher.group(4)));
             scripts.add(script);
         }
-
         return scripts;
     }
 
@@ -509,7 +323,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
      */
     private String extractFeaturePoints(String content) {
         List<String> features = new ArrayList<>();
-
         // 提取技术参数
         for (String pattern : TECH_PATTERNS) {
             Pattern techPattern = Pattern.compile(pattern + "[：:]\\s*([\\d.]+)");
@@ -518,7 +331,6 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
                 features.add("技术参数: " + matcher.group(1));
             }
         }
-
         // 提取材料优势
         for (String keyword : FEATURE_KEYWORDS) {
             if (content.contains(keyword)) {
@@ -528,50 +340,4 @@ public class WmsSalesScriptGeneratorServiceImpl implements IWmsSalesScriptGenera
 
         return features.isEmpty() ? "产品特性突出" : String.join("; ", features);
     }
-
-    /**
-     * 获取客户类型描述
-     */
-    private String getCustomerTypeDescription(String type) {
-        Map<String, String> descriptions = new HashMap<>();
-        descriptions.put("技术型客户", "突出技术参数和性能优势");
-        descriptions.put("价格敏感型客户", "强调性价比和成本效益");
-        descriptions.put("质量优先型客户", "重点介绍品质保证和可靠性");
-        descriptions.put("批量采购客户", "突出批量优惠和供应能力");
-        descriptions.put("定制化需求客户", "强调定制服务和个性化解决方案");
-
-        return descriptions.getOrDefault(type, "");
-    }
-
-    /**
-     * 建议客户类型
-     */
-    private List<String> suggestCustomerTypes(WmsProductVo product, List<WmsProductBom> bomList) {
-        List<String> suggestions = new ArrayList<>();
-        suggestions.add("技术型客户");
-        suggestions.add("质量优先型客户");
-
-        if (bomList != null && bomList.size() > 3) {
-            suggestions.add("批量采购客户");
-        }
-
-        return suggestions;
-    }
-
-    /**
-     * 提取特性
-     */
-    private List<String> extractFeatures(WmsProductVo product, List<WmsProductBom> bomList) {
-        List<String> features = new ArrayList<>();
-
-        if (product.getThickness() != null || product.getWidth() != null || product.getInnerDiameter() != null) {
-            features.add("精密制造");
-        }
-
-        if (bomList != null && !bomList.isEmpty()) {
-            features.add("优质材料");
-        }
-
-        return features;
-    }
 }

klp-wms/src/main/resources/application-image-recognition.yml

@@ -1,38 +0,0 @@
-# 图片识别配置
-image:
-  recognition:
-    # AI API配置
-    api-url: https://api.siliconflow.cn/v1/chat/completions
-    model-name: Qwen/Qwen2.5-VL-32B-Instruct
-    api-key: sk-sbmuklhrcxqlsucufqebiibauflxqfdafqjxaedtwirurtrc
-    max-retries: 3
-    temperature: 0.0
-    max-tokens: 4096
-
-    # 图片处理配置
-    max-image-dimension: 512
-    image-quality: 60
-
-    # 识别配置
-    default-recognition-type: bom
-    enable-voting: true
-    voting-rounds: 3
-
-    # 支持的图片格式
-    supported-formats:
-      - jpg
-      - jpeg
-      - png
-      - bmp
-      - gif
-
-    # 超时配置
-    connect-timeout: 30000
-    read-timeout: 60000
-
-    # 缓存配置
-    enable-cache: true
-    cache-ttl: 3600
-
-    # 日志配置
-    enable-debug-log: false

klp-wms/src/main/resources/application-sales-script.yml

@@ -1,56 +0,0 @@
-# 销售话术生成器配置
-sales:
-  script:
-    ai:
-      # DeepSeek API配置
-      api-key: sk-5eb55d2fb2cc4fe58a0150919a1f0d70
-      base-url: https://api.deepseek.com/v1
-      model-name: deepseek-chat
-      max-retries: 3
-      temperature: 1.0
-      
-    # 生成配置
-    generation:
-      # 默认话术数量
-      default-script-count: 5
-      # 批量处理大小
-      batch-size: 5
-      # 批次间延迟（毫秒）
-      delay-between-batches: 2000
-      
-    # 客户类型配置
-    customer-types:
-      - 技术型客户
-      - 价格敏感型客户
-      - 质量优先型客户
-      - 批量采购客户
-      - 定制化需求客户
-      
-    # 产品特性关键词
-    feature-keywords:
-      - 优质
-      - 高精度
-      - 耐用
-      - 稳定
-      - 可靠
-      - 先进
-      - 高效
-      - 节能
-      - 环保
-      - 安全
-      - 便捷
-      - 智能
-      
-    # 技术参数模式
-    tech-patterns:
-      - 厚度
-      - 宽度
-      - 内径
-      - 长度
-      - 重量
-      - 密度
-
-# 日志配置
-logging:
-  level:
-    com.klp.service.impl.WmsSalesScriptGeneratorServiceImpl: DEBUG