From 6a7d6de03c06f86fdba791f49ba2adf37b828cb0 Mon Sep 17 00:00:00 2001
From: huangchengfa <171504222@qq.com>
Date: Thu, 11 Dec 2025 16:55:33 +0800
Subject: [PATCH] =?UTF-8?q?feat:=20Ai=E5=8A=A0=E8=BD=BD=E5=89=8D=EF=BC=8C?=
 =?UTF-8?q?=E5=85=88=E6=B8=B2=E6=9F=93=E4=B8=80=E6=AC=A1=EF=BC=8CAi?=
 =?UTF-8?q?=E5=87=BA=E6=9D=A5=E5=90=8E=E5=86=8D=E6=AC=A1=E6=B8=B2=E6=9F=93?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../tsypHome/components/AddModel/yjList.vue   | 25 +++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/src/views/backOfficeSystem/JudgmentHome/tsypHome/components/AddModel/yjList.vue b/src/views/backOfficeSystem/JudgmentHome/tsypHome/components/AddModel/yjList.vue
index f1046c5..9524ab9 100644
--- a/src/views/backOfficeSystem/JudgmentHome/tsypHome/components/AddModel/yjList.vue
+++ b/src/views/backOfficeSystem/JudgmentHome/tsypHome/components/AddModel/yjList.vue
@@ -63,12 +63,35 @@ const showModel = ref(false)
 const textContent = ref('')//报告数据
 const SaveReport = () => {
 }
+/** 获取原始报备内容
+ * @param {Array} resArr 预警信息
+ * @param {Array} dictArr 预警类型
+ * @returns {String} 原始报备内容
+ */
+const getOriginStr = (resArr, dictArr) => {
+  /** 标题前文 */
+  const preStr = BigTitle("林芝市公安局情指中心") + BigTitle("研判专刊(初稿)") + newTotitle({
+    org: "市公安局情指中心编",
+    time: timeValidate()
+  }) + fbtool(`同类事件发生${resArr.length}次以上预警`)
+  /** 警情内容 */
+  let contentStr = resArr.map((item, index) => {
+    const lx = dictArr.find(items => {
+      return items.value == item.yjlx
+    }).zdmc
+    return Subheading(`${index + 1}.警情内容`) +
+      textStyle(`警情内容:${item.bjnr},报警人姓名:${item.bjrmc},报警地址:${item.bjdz},报警类型:${lx},报警时间:${item.bjsj}\n`)
+  }).join('')
+  const endStr = Subheading(`解决方案`) + textStyle('加载中。。。')
+  return preStr + contentStr + endStr
+}
 const opneModel = (row) => {
   showModel.value = true
   textContent.value = ''
   mxglJqxqGetPageList({
     yjid: row.id,
   }).then((res) => {
+    res = Array.isArray(res) ? res : []
     let str = {
       model: "deepseek-32b",
       prompt: `# 角色定位\n你是一名资深警务人员，尤其擅长对警情、案件、线索等非结构化文本数据进行阅读理解，并从中提取各种对象特征信息进行结构化，并总结各种对象之间的关联关系。\n`,
@@ -81,9 +104,11 @@ const opneModel = (row) => {
       str.prompt += `警情内容:${item.bjnr},报警人姓名:${item.bjrmc},报警地址:${item.bjdz},报警类型:${lx},报警时间:${item.bjsj}\n`
     })
     str.prompt += `根据以上警情信息，总结出一个解决方案`
+    textContent.value = getOriginStr(res, props.dict.D_BZ_JQLY)
     let jsonMatch
     completions(str).then(reslve => {
       jsonMatch = reslve.choices[0].text
+      textContent.value = '' // 重置为空
       textContent.value += BigTitle("林芝市公安局情指中心") + BigTitle("研判专刊(初稿)") + newTotitle({
         org: "市公安局情指中心编",
         time: timeValidate()