优化业务逻辑和基础库的大标题区间和字段的识别精度

src/handlers/handleAutoFillCommon.ts

@@ -865,6 +865,28 @@ export async function handleAutoFillCommon(params: AutoFillCommonParams): Promis
     const allTitles = getAllPageTitles(sectionResults)
     const FIVE_EXP_SECTIONS_JSON = new Set(["education", "work", "internship", "project", "competition"])
 
+    // 从简历数据中提取所有值，构建排除集合（避免将已填值误认为标签）
+    const excludeTexts = new Set<string>()
+    if (currentResumeData) {
+      const main = currentResumeData.main
+      if (main) {
+        for (const val of Object.values(main)) {
+          if (typeof val === "string" && val.trim()) excludeTexts.add(val.trim())
+          if (Array.isArray(val)) val.forEach((v) => { if (typeof v === "string" && v.trim()) excludeTexts.add(v.trim()) })
+        }
+      }
+      const expKeys: ("education" | "work" | "internship" | "project" | "competition")[] = ["education", "work", "internship", "project", "competition"]
+      for (const sec of expKeys) {
+        const items = currentResumeData[sec]
+        if (!Array.isArray(items)) continue
+        for (const item of items) {
+          for (const val of Object.values(item as Record<string, any>)) {
+            if (typeof val === "string" && val.trim()) excludeTexts.add(val.trim())
+          }
+        }
+      }
+    }
+
     /** 判断某个字段是否属于简历数据格式（JOB_FORM_LABELS 里 resumeField 非空的） */
     const resumeFormatInputs = new Set<Element>()
     // 阶段A和B的所有 input 都是简历格式字段
@@ -928,6 +950,17 @@ export async function handleAutoFillCommon(params: AutoFillCommonParams): Promis
         type FieldItem = { label: string; value: string; inputEl: Element }
         const collectedFields: FieldItem[] = []
 
+        // 构建当前大标题范围内所有已填 input 的值集合
+        // 用于排除误将已填值（如"香港理工大学"、"硕士"、"2026"等）当作标签的情况
+        const filledInputValues = new Set<string>()
+        for (const inp of Array.from(allInputs)) {
+          const afterT = !!(titleEl.compareDocumentPosition(inp) & Node.DOCUMENT_POSITION_FOLLOWING)
+          const beforeN = !nextTitleEl || !!(nextTitleEl.compareDocumentPosition(inp) & Node.DOCUMENT_POSITION_PRECEDING)
+          if (!afterT || !beforeN) continue
+          const val = (inp as HTMLInputElement | HTMLTextAreaElement).value?.trim()
+          if (val) filledInputValues.add(val)
+        }
+
         for (const inp of Array.from(allInputs)) {
           // 范围检查
           const afterTitle = !!(titleEl.compareDocumentPosition(inp) & Node.DOCUMENT_POSITION_FOLLOWING)
@@ -946,8 +979,12 @@ export async function handleAutoFillCommon(params: AutoFillCommonParams): Promis
 
           // 查找标签（使用统一封装的 labelFinder）
           const titleElementSet = new Set<Element>(allTitles.map((t) => t.element))
-          const { labelText: detectedLabel } = findLabelForInput(inp, titleElementSet)
-          const labelText = detectedLabel
+          const { labelText: detectedLabel } = findLabelForInput(inp, titleElementSet, excludeTexts)
+          const labelText = detectedLabel?.trim()
+
+          // 跳过无效标签：空、纯数字、已知排除词、或检测到的"标签"实际是某个已填 input 的值
+          if (!labelText || /^\d+$/.test(labelText) || JSON_EXCLUDE_LABELS.some((ex) => labelText === ex)) continue
+          if (filledInputValues.has(labelText)) continue
 
           // 非经历类型：跳过简历格式字段
           // 【注意】简历格式字段通过 resumeFormatInputs（阶段A/B实际匹配到的input元素集合）精确跳过