feat #565: add vector knowledge ingestion demo

src/main/java/com/cloudhandson/vpdbackoffice/web/VectorKnowledgeController.java

@@ -0,0 +1,78 @@
+package com.cloudhandson.vpdbackoffice.web;
+
+import com.cloudhandson.vpdbackoffice.domain.vector.VectorIngestCommand;
+import com.cloudhandson.vpdbackoffice.domain.vector.VectorIngestResult;
+import com.cloudhandson.vpdbackoffice.service.VectorKnowledgeService;
+import com.cloudhandson.vpdbackoffice.mapper.UserMapper;
+import org.springframework.dao.DataAccessException;
+import org.springframework.stereotype.Controller;
+import org.springframework.ui.Model;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.servlet.mvc.support.RedirectAttributes;
+
+@Controller
+public class VectorKnowledgeController {
+
+  private final VectorKnowledgeService vectorKnowledgeService;
+  private final UserMapper userMapper;
+
+  public VectorKnowledgeController(VectorKnowledgeService vectorKnowledgeService, UserMapper userMapper) {
+    this.vectorKnowledgeService = vectorKnowledgeService;
+    this.userMapper = userMapper;
+  }
+
+  @GetMapping("/vector-knowledge")
+  public String page(Model model) {
+    model.addAttribute("users", userMapper.findAll());
+    model.addAttribute("aiEmbeddingConfigured", vectorKnowledgeService.aiEmbeddingConfigured());
+    try {
+      model.addAttribute("summary", vectorKnowledgeService.summary());
+    } catch (DataAccessException exception) {
+      RuntimeErrorMessage error = RuntimeErrorMessages.dataAccess(exception);
+      model.addAttribute("summary", null);
+      model.addAttribute("runtimeError", error);
+    }
+    return "vector-knowledge";
+  }
+
+  @PostMapping("/vector-knowledge/ingest")
+  public String ingest(
+      @RequestParam String documentId,
+      @RequestParam String title,
+      @RequestParam(required = false, defaultValue = "") String sourceUri,
+      @RequestParam String content,
+      @RequestParam String techTags,
+      @RequestParam(defaultValue = "600") int chunkSize,
+      @RequestParam(defaultValue = "DEMO") String embeddingMode,
+      RedirectAttributes redirectAttributes
+  ) {
+    try {
+      VectorIngestResult result = vectorKnowledgeService.ingest(new VectorIngestCommand(
+          documentId, title, sourceUri, content, techTags, chunkSize, embeddingMode));
+      redirectAttributes.addFlashAttribute("ingestResult", result);
+      redirectAttributes.addFlashAttribute("message",
+          result.chunkCount() + "개 청크를 저장했습니다. 태그 " + result.tagCount() + "개가 각 청크에 연결되었습니다.");
+    } catch (Exception exception) {
+      redirectAttributes.addFlashAttribute("errorMessage", exception.getMessage());
+    }
+    return "redirect:/vector-knowledge";
+  }
+
+  @PostMapping("/vector-knowledge/search")
+  public String search(
+      @RequestParam long userId,
+      @RequestParam String query,
+      @RequestParam(defaultValue = "10") int limit,
+      @RequestParam(defaultValue = "DEMO") String embeddingMode,
+      Model model
+  ) {
+    try {
+      model.addAttribute("searchResult", vectorKnowledgeService.search(userId, query, limit, embeddingMode));
+    } catch (Exception exception) {
+      model.addAttribute("errorMessage", exception.getMessage());
+    }
+    return "fragments/vector-search-result :: result";
+  }
+}