feat: 优化 JD 流程并展示岗位创建时间

backend/app/repositories/state_repository.py

@@ -89,10 +89,12 @@ def workspace_has_data(session: Session, owner: str) -> bool:
 
 
 def read_state(session: Session, owner: str = "local") -> dict[str, Any]:
-    jobs = [
-        parse_json(item.data, {})
-        for item in session.scalars(select(Job).where(Job.owner_id == owner).order_by(Job.created_at, Job.id))
-    ]
+    jobs = []
+    for item in session.scalars(select(Job).where(Job.owner_id == owner).order_by(Job.created_at, Job.id)):
+        data = parse_json(item.data, {})
+        if not data.get("createdAt"):
+            data = {**data, "createdAt": data.get("created_at") or item.created_at}
+        jobs.append(data)
     candidates = [
         parse_json(item.data, {})
         for item in session.scalars(
@@ -143,8 +145,8 @@ def replace_state(session: Session, owner: str, input_state: dict[str, Any], imp
 
     for job in state["jobs"]:
         job_id = job.get("id") or _id("job")
-        job = {**job, "id": job_id}
         created_at = job.get("createdAt") or job.get("created_at") or state["updatedAt"]
+        job = {**job, "id": job_id, "createdAt": created_at}
         session.add(
             Job(
                 id=job_id,

backend/app/services/jd_grill.py

@@ -23,7 +23,8 @@ from collections.abc import Callable
 from typing import Any
 
 # ---------------------------------------------------------------------------
-# 题单（question-bank v2.2；研发/技术岗额外插入 9a 技术栈问）
+# 题单（question-bank v2.3；技术岗额外插入 9a 技术栈问，
+# 且技术向推荐答案只对 tech_role=True 展示）
 # ---------------------------------------------------------------------------
 
 # 每条可选答案：label 展示给用户，value 入库，fields 是选中时写入 job 的键值。
@@ -31,8 +32,8 @@ from typing import Any
 _Option = dict[str, Any]
 
 
-def _opt(label: str, value: str, fields: dict[str, Any] | None = None) -> _Option:
-    return {"label": label, "value": value, "fields": fields or {}}
+def _opt(label: str, value: str, fields: dict[str, Any] | None = None, **extra: Any) -> _Option:
+    return {"label": label, "value": value, "fields": fields or {}, **extra}
 
 
 # 每个问题的定义。parse_text(s, job) 可自由输入做字段推断，用于开放式回答。
@@ -126,7 +127,7 @@ QUESTION_BANK: list[dict[str, Any]] = [
                     "负责核心模块的设计与编码；参加代码评审与方案评审；"
                     "参与联调与上线，负责线上问题值班与处置"
                 ),
-            }),
+            }, tech_only=True),
             _opt("业务岗：拓客/方案/谈判/交付/客户经营", "sales", {
                 "responsibilities": (
                     "负责客户开拓与需求对接；输出方案与商务谈判；推进招投标与回款；"
@@ -224,12 +225,15 @@ QUESTION_BANK: list[dict[str, Any]] = [
         "options": [
             _opt("技术栈能上手 + 独立交付", "tech-lifeline", {
                 "mustHave": "核心技能能直接上手；端到端独立交付能力",
-            }),
+            }, tech_only=True),
             _opt("业务理解 + 客户资源", "business-lifeline", {
                 "mustHave": "业务理解力；客户资源或成交能力",
             }),
             _opt("线上问题处置 + 抗压", "ops-lifeline", {
                 "mustHave": "线上问题定位与处置经验；抗压推进能力",
+            }, tech_only=True),
+            _opt("可迁移行业经验 + 稳定成交/交付", "field-lifeline", {
+                "mustHave": "目标行业可迁移经验；稳定的成交或交付记录",
             }),
         ],
         "free_text": True,
@@ -246,7 +250,7 @@ QUESTION_BANK: list[dict[str, Any]] = [
         "options": [
             _opt("简历看项目 + 面试做设计题", "resume+design", {
                 "verification": "简历看真实项目落地；面试给真实场景现场设计追问。",
-            }),
+            }, tech_only=True),
             _opt("简历看关键词 + 面试问案例", "resume+case", {
                 "verification": "简历看相关经历关键词；面试问经典案例 STAR 追问。",
             }),
@@ -291,16 +295,25 @@ QUESTION_BANK: list[dict[str, Any]] = [
         "options": [
             _opt("纯 CRUD / 只会调轮子", "crud", {
                 "knockout": "纯 CRUD 无架构封装；只会调轮子不懂原理",
-            }),
+            }, tech_only=True),
             _opt("无线上问题经验", "no-ops", {
                 "knockout": "纯功能开发，无生产环境排查处置经验",
-            }),
+            }, tech_only=True),
             _opt("技术炫技、无业务 sense", "show-off", {
                 "knockout": "技术炫技，缺少业务落地能力",
-            }),
+            }, tech_only=True),
             _opt("关键词全命中但无成果/无深度", "shallow", {
                 "knockout": "简历关键词全命中但缺真实成果与深度",
             }),
+            _opt("客户资源看着多，但成交/回款无证据", "no-proof", {
+                "knockout": "客户资源或线索多，但缺少实际成交、回款与复购证据",
+            }),
+            _opt("只会跟单/陪跑，推不动决策链", "no-close", {
+                "knockout": "只会跟单与关系维护，缺少推进决策链和临门成交能力",
+            }),
+            _opt("只能低价成交，无方案/谈判溢价能力", "price-only", {
+                "knockout": "成交依赖低价或政策，缺少方案价值与商务谈判能力",
+            }),
         ],
         "free_text": True,
         "parse_text": lambda text: {"knockout": text.strip()[:200]},
@@ -319,6 +332,10 @@ QUESTION_BANK: list[dict[str, Any]] = [
             _opt("3 个月，能否在指导下独立完成一次迭代", "3m-iterate", {
                 "probationPeriod": "3个月",
                 "probationCriteria": "在指导下独立完成一次需求迭代",
+            }, tech_only=True),
+            _opt("3 个月，能否独立拿下首个客户/首单", "3m-first-deal", {
+                "probationPeriod": "3个月",
+                "probationCriteria": "独立跟进并成交首个目标客户，或跑通首个项目交付",
             }),
             _opt("6 个月，看是否能独立交付关键任务", "6m-deliver", {
                 "probationPeriod": "6个月",
@@ -365,7 +382,9 @@ def _completed() -> dict[str, Any]:
     return {"complete": True}
 
 
-def _next_question(question_ids: list[str], job: dict[str, Any], answered: list[str] | None = None) -> dict[str, Any] | None:
+def _next_question(
+    question_ids: list[str], job: dict[str, Any], answered: list[str] | None = None, tech_role: bool = False
+) -> dict[str, Any] | None:
     """按 id 顺序找到第一个需要问的问题（返回渲染数据），都答过则完成。
 
     会跳过已作答（answered）或满足 skip_when 的问题。
@@ -379,7 +398,7 @@ def _next_question(question_ids: list[str], job: dict[str, Any], answered: list[
             continue
         if q.get("skip_when") and q["skip_when"](job):
             continue
-        return _render(q)
+        return _render(q, tech_role=tech_role)
     return _completed()
 
 
@@ -402,10 +421,11 @@ def _question_ids(tech_role: bool) -> list[str]:
     return ids
 
 
-def _render(q: dict[str, Any]) -> dict[str, Any]:
+def _render(q: dict[str, Any], *, tech_role: bool = False) -> dict[str, Any]:
     options = [
         {"label": o["label"], "value": o["value"], "fields": o.get("fields", {})}
         for o in q.get("options", [])
+        if not (o.get("tech_only") and not tech_role)
     ]
     return {
         "question_id": q["id"],
@@ -465,7 +485,7 @@ def start(state: dict[str, Any] | None, job: dict[str, Any]) -> dict[str, Any]:
     tech_role = bool(state.get("tech_role", _guess_tech_role(job)))
     job = _start_job(job or {})
     ids = _question_ids(tech_role)
-    nxt = _next_question(ids, job, answered=[])
+    nxt = _next_question(ids, job, answered=[], tech_role=tech_role)
     # 记录这道题是「从哪一题开始问」的进度
     return {
         "session_id": state.get("session_id") or "",
@@ -497,7 +517,7 @@ def advance(state: dict[str, Any], answer: dict[str, Any]) -> dict[str, Any]:
         answered.append(qid)
 
     ids = state.get("question_ids") or _question_ids(bool(state.get("tech_role")))
-    nxt = _next_question(ids, job, answered=answered)
+    nxt = _next_question(ids, job, answered=answered, tech_role=bool(state.get("tech_role")))
 
     if isinstance(nxt, dict) and nxt.get("complete"):
         return {

backend/app/services/llm.py

@@ -2,7 +2,8 @@ import json
 import re
 from typing import Any
 
-import httpx
+from langchain_core.messages import HumanMessage, SystemMessage
+from langchain_openai import ChatOpenAI
 
 from backend.app.config import get_settings
 from backend.app.services.qwenpaw_client import qwenpaw_jd_draft
@@ -159,6 +160,32 @@ def parse_json_from_text(text: str) -> dict[str, Any]:
         raise ValueError("模型未返回可解析 JSON") from None
 
 
+def _message_text(message: Any) -> str:
+    content = message.content
+    if isinstance(content, str):
+        return content
+    if isinstance(content, list):
+        return "".join(
+            str(part.get("text") or part.get("content") or "") if isinstance(part, dict) else str(part)
+            for part in content
+        )
+    return str(content or "")
+
+
+async def _chat_json(settings: Any, system: str, user: str, *, temperature: float = 0) -> dict[str, Any]:
+    """用 langchain-openai 的 ChatOpenAI 走 OpenAI 兼容接口，固定 JSON 模式。"""
+    chat = ChatOpenAI(
+        model=settings.effective_llm_model,
+        api_key=settings.effective_llm_api_key,
+        base_url=settings.effective_llm_base_url,
+        temperature=temperature,
+        timeout=60,
+        max_retries=1,
+    ).bind(response_format={"type": "json_object"})
+    response = await chat.ainvoke([SystemMessage(content=system), HumanMessage(content=user)])
+    return parse_json_from_text(_message_text(response))
+
+
 def sanitize_resume_for_llm(text: str, candidate: dict[str, Any]) -> str:
     sanitized = str(text or "")
     for value in [candidate.get("name"), candidate.get("phone"), candidate.get("email"), candidate.get("city"), candidate.get("resumeName")]:
@@ -204,24 +231,12 @@ async def llm_resume_analysis(payload: dict[str, Any]) -> dict[str, Any] | None:
         f"候选人脱敏结构：{json.dumps({**safe_candidate, 'resumeText': None}, ensure_ascii=False, indent=2)}\n\n"
         f"脱敏简历正文：\n{(safe_candidate.get('resumeText') or '')[:16000]}"
     )
-    async with httpx.AsyncClient(timeout=60) as client:
-        response = await client.post(
-            f"{settings.effective_llm_base_url}/chat/completions",
-            headers={"Content-Type": "application/json", "Authorization": f"Bearer {settings.effective_llm_api_key}"},
-            json={
-                "model": settings.effective_llm_model,
-                "temperature": 0,
-                "messages": [
-                    {"role": "system", "content": "你是企业招聘系统中的资深HR初筛分析助手。只返回JSON，不要输出Markdown。"},
-                    {"role": "user", "content": user},
-                ],
-                "response_format": {"type": "json_object"},
-            },
+    parsed = await _chat_json(
+        settings,
+        "你是企业招聘系统中的资深HR初筛分析助手。只返回JSON，不要输出Markdown。",
+        user,
+        temperature=0,
     )
-    data = response.json()
-    if response.status_code >= 400:
-        raise RuntimeError(data.get("error", {}).get("message") or "LLM 分析失败")
-    parsed = parse_json_from_text(data.get("choices", [{}])[0].get("message", {}).get("content") or "{}")
     return {**parsed, "reportVersion": "ai-evaluation-v2", "provider": f"llm:{settings.effective_llm_model}"}
 
 
@@ -326,24 +341,13 @@ jdVersion, jdStatus, approvalStatus, jd, responsibilities, requirements, mustHav
 - 整体语气专业、具体、可执行，让候选人读完知道"来了做什么、需要什么"。
 
 岗位信息：{json.dumps(payload.get('job') or {}, ensure_ascii=False, indent=2)}"""
-    async with httpx.AsyncClient(timeout=60) as client:
-        response = await client.post(
-            f"{settings.effective_llm_base_url}/chat/completions",
-            headers={"Content-Type": "application/json", "Authorization": f"Bearer {settings.effective_llm_api_key}"},
-            json={
-                "model": settings.effective_llm_model,
-                "temperature": 0.35,
-                "messages": [
-                    {"role": "system", "content": "你是企业招聘系统中的资深招聘JD顾问。只返回JSON，不要输出Markdown。"},
-                    {"role": "user", "content": user},
-                ],
-                "response_format": {"type": "json_object"},
-            },
+    parsed = await _chat_json(
+        settings,
+        "你是企业招聘系统中的资深招聘JD顾问。只返回JSON，不要输出Markdown。",
+        user,
+        temperature=0.35,
     )
-    data = response.json()
-    if response.status_code >= 400:
-        raise RuntimeError(data.get("error", {}).get("message") or "JD 生成失败")
-    return {**parse_json_from_text(data.get("choices", [{}])[0].get("message", {}).get("content") or "{}"), "provider": f"llm:{settings.effective_llm_model}"}
+    return {**parsed, "provider": f"llm:{settings.effective_llm_model}"}
 
 
 # 对内字段：用于内部访谈/寻源，严禁随岗位信息发送到对外 LLM 或写进对外 JD。

backend/pyproject.toml

@@ -16,6 +16,8 @@ dependencies = [
   "pydantic-settings>=2.4,<3",
   "python-multipart>=0.0.9,<1",
   "httpx>=0.27,<1",
+  "langchain-core>=1.0,<2",
+  "langchain-openai>=1.0,<2",
   "pypdf>=5.1,<6",
   "python-docx>=1.1,<2"
 ]

backend/scripts/start_server.py

@@ -95,4 +95,6 @@ def main(argv: list[str] | None = None) -> int:
 
 
 if __name__ == "__main__":
+    import sys
+    sys.argv.append("--reload")
     raise SystemExit(main())

backend/tests/test_ai.py

@@ -112,6 +112,58 @@ def test_grill_start_and_advance(client):
     assert state["progress"]["percent"] == 100
 
 
+def test_grill_sales_role_uses_business_options(client):
+    """非技术岗（销售经理）不出现技术向推荐答案，试用期/排除信号用业务岗口径。"""
+    start = client.post(
+        "/api/jd/grill/start",
+        json={"job": {"title": "销售经理", "department": "市场部"}, "tech_role": False},
+    )
+    assert start.status_code == 200
+    s = start.json()
+    assert s["total_steps"] == 13
+    assert "tech_stack" not in s["question_ids"]
+
+    answers = {
+        "entry_path": "new",
+        "input_form": "one-sentence",
+        "internal_digest": "must-hire",
+        "positioning": "backfill",
+        "responsibilities": "sales",
+        "hard_gate": "bachelor-plus",
+        "sensitive": "none",
+        "salary_location": "shenzhen-onsite",
+        "lifeline": "business-lifeline",
+        "verification": "resume+case",
+        "knockout": "no-proof",
+        "probation": "3m-first-deal",
+        "noncompete": "no",
+    }
+    state = s
+    asked = []
+    while not state.get("complete"):
+        qid = state["next"]["question_id"]
+        asked.append(qid)
+        option_values = [opt["value"] for opt in state["next"]["options"]]
+        if qid == "knockout":
+            assert "crud" not in option_values
+            assert "no-proof" in option_values
+        if qid == "probation":
+            assert "3m-iterate" not in option_values
+            assert "3m-first-deal" in option_values
+        resp = client.post(
+            "/api/jd/grill/advance",
+            json={"state": state, "answer": {"question_id": qid, "type": "option", "option": answers[qid]}},
+        )
+        assert resp.status_code == 200
+        state = resp.json()
+
+    assert state["complete"] is True
+    assert len(asked) == 13
+    assert "tech_stack" not in asked
+    assert state["job"]["knockout"] == "客户资源或线索多，但缺少实际成交、回款与复购证据"
+    assert state["job"]["probationCriteria"] == "独立跟进并成交首个目标客户，或跑通首个项目交付"
+
+
 def test_grill_skips_existing_fields(client):
     """老岗位迭代：已有 jd/mustHave/knockout/education 的题自动跳过，只问变化点。"""
     start = client.post(

backend/tests/test_state.py

@@ -23,6 +23,7 @@ def test_state_api_roundtrip(client):
     loaded = client.get("/api/state").json()
     assert loaded["meta"]["persisted"] is True
     assert loaded["jobs"][0]["title"] == "高级前端工程师"
+    assert loaded["jobs"][0]["createdAt"]
     assert loaded["candidates"][0]["name"] == "张三"
     assert loaded["tasks"][0]["title"] == "安排面试"
 

vue-app/src/components/jobs/JobDetail.vue

@@ -92,10 +92,12 @@ const isStaleCandidate = (candidate) => flow.value.staleCandidates.some((item) =
 const hasJdContent = computed(() =>
   Boolean(job.value?.jd || job.value?.responsibilities || job.value?.requirements || job.value?.mustHave)
 )
+const jdPendingConfirm = computed(() => [JD_STATUS.DRAFT, JD_STATUS.PENDING_CONFIRM].includes(job.value?.jdStatus))
+const jdConfirmed = computed(() => job.value?.approvalStatus === APPROVAL_STATUS.DEPARTMENT_CONFIRMED)
 const jdGenerationBusy = computed(() => Boolean(store.jdGenerateOpen || store.jdGrillOpen))
 const generateJdLabel = computed(() => (hasJdContent.value ? '重新生成草稿' : '生成首版 JD 草稿'))
 const jdActionHint = computed(() => {
-  if (!hasJdContent.value) return '还没有 JD：先生成首版草稿，再进入用人确认。'
+  if (!hasJdContent.value) return '还没有 JD：顶部主按钮会直接生成首版草稿，也可以在这里手动调整后再生成。'
   return '已有 JD：小幅调整岗位要求用“迭代”；需要按当前全部信息重写时用“重新生成”。两者都会生成新的待确认草稿。'
 })
 
@@ -153,7 +155,7 @@ const submitApproval = async () => {
   ensureTask('跟进JD审批结果', '岗位管理', job.value.title, '中', '今日')
   store.persist('JD已提交审批')
   showToast('JD 已提交审批，已生成跟进待办')
-  activeStep.value = 2
+  activeStep.value = 3
 }
 
 const confirmMatchRules = () => {
@@ -166,6 +168,11 @@ const confirmMatchRules = () => {
 
 const approveJd = async () => {
   if (!job.value) return
+  if (job.value.jdStatus !== JD_STATUS.APPROVING) {
+    showToast('请先在「用人确认」提交审批', 'warning')
+    activeStep.value = 2
+    return
+  }
   try {
     await ElMessageBox.confirm('审批通过后 JD 将正式生效，并进入发布流程。确认生效？', 'JD 生效', {
       confirmButtonText: '确认生效',
@@ -365,6 +372,10 @@ const mainAction = async () => {
   const tab = action.value.tab
   if (tab === 'flow') {
     activeTab.value = 'flow'
+    if (!hasJdContent.value) {
+      await generateJd('generate')
+      return
+    }
     if (Number.isInteger(action.value.step)) activeStep.value = action.value.step
     await nextTick()
     document.querySelector('.workflow-panel')?.scrollIntoView({ behavior: 'smooth', block: 'start' })
@@ -689,24 +700,23 @@ const mainAction = async () => {
                 </div>
                 <div class="step-pane-actions">
                   <el-button
-                    v-if="job.jdStatus === JD_STATUS.PENDING_CONFIRM"
+                    v-if="jdPendingConfirm"
                     size="small"
                     type="primary"
+                    :disabled="!hasJdContent"
                     @click="confirmOwner"
                   >
                     确认 JD 内容
                   </el-button>
-                  <el-button
-                    v-if="job.jdStatus !== JD_STATUS.APPROVING"
-                    size="small"
-                    :disabled="job.approvalStatus !== APPROVAL_STATUS.DEPARTMENT_CONFIRMED"
-                    @click="submitApproval"
-                  >
+                  <el-button v-if="jdPendingConfirm" size="small" :disabled="!jdConfirmed" @click="submitApproval">
                     提交审批
                   </el-button>
                   <el-tag v-if="job.jdStatus === JD_STATUS.APPROVING" type="warning" size="small">审批进行中</el-tag>
                 </div>
               </div>
+              <div v-if="jdPendingConfirm && !jdConfirmed" class="step-action-hint">
+                {{ hasJdContent ? '先点击「确认 JD 内容」，确认后即可提交审批。' : '先生成 JD 草稿，再回来确认内容。' }}
+              </div>
               <div class="step-fields">
                 <div>
                   <span>审批状态</span><strong>{{ job.approvalStatus || APPROVAL_STATUS.NOT_STARTED }}</strong>
@@ -728,13 +738,20 @@ const mainAction = async () => {
                   <span>审批通过后 JD 生效，并同步招聘渠道</span>
                 </div>
                 <div class="step-pane-actions">
-                  <el-button v-if="job.jdStatus !== JD_STATUS.EFFECTIVE" size="small" type="primary" @click="approveJd"
+                  <el-button v-if="job.jdStatus === JD_STATUS.APPROVING" size="small" type="primary" @click="approveJd"
                     >审批通过并生效</el-button
                   >
+                  <el-tag v-if="job.jdStatus === JD_STATUS.EFFECTIVE" size="small" type="success">JD 已生效</el-tag>
                   <el-button size="small" @click="openChannelDialog">同步发布渠道</el-button>
                   <el-button size="small" :disabled="!hasJdContent" @click="openJdMarkdown">查看 Markdown</el-button>
                 </div>
               </div>
+              <div
+                v-if="job.jdStatus !== JD_STATUS.APPROVING && job.jdStatus !== JD_STATUS.EFFECTIVE"
+                class="step-action-hint"
+              >
+                先在「用人确认」确认 JD 内容并提交审批，审批中才能在这里通过并生效。
+              </div>
               <div class="step-fields">
                 <div>
                   <span>JD 状态</span><strong>{{ job.jdStatus || JD_STATUS.DRAFT }}</strong>
@@ -811,10 +828,14 @@ const mainAction = async () => {
             </div>
             <div class="actions">
               <el-button @click="openChannelDialog">同步发布渠道</el-button>
-              <el-button v-if="job.jdStatus !== JD_STATUS.EFFECTIVE" type="primary" @click="approveJd"
+              <el-button v-if="job.jdStatus === JD_STATUS.APPROVING" type="primary" @click="approveJd"
                 >审批通过并生效</el-button
               >
+              <el-tag v-if="job.jdStatus === JD_STATUS.EFFECTIVE" type="success">JD 已生效</el-tag>
             </div>
+            <p v-if="job.jdStatus !== JD_STATUS.APPROVING && job.jdStatus !== JD_STATUS.EFFECTIVE" class="publish-hint">
+              先在「JD 流程」完成用人确认并提交审批，才能在这里审批生效。
+            </p>
           </div>
 
           <div class="publish-box">
@@ -1319,6 +1340,12 @@ const mainAction = async () => {
   }
 }
 
+.step-action-hint {
+  margin: -4px 0 12px;
+  color: var(--muted);
+  font-size: 12px;
+}
+
 .step-fields {
   display: grid;
   grid-template-columns: repeat(2, 1fr);
@@ -1511,6 +1538,12 @@ const mainAction = async () => {
 
   .actions {
     margin-top: 12px;
+
+    .publish-hint {
+      margin: 10px 0 0;
+      color: var(--muted);
+      font-size: 12px;
+    }
   }
 }
 

vue-app/src/components/jobs/JobEdit.vue

@@ -40,7 +40,7 @@ const form = reactive({
   owner: 'Charie',
   salaryRange: '',
   priority: '中',
-  status: '招聘中',
+  status: JOB_STATUS.PENDING_CONFIRM,
   jdStatus: '草稿',
   jdVersion: 'v1 草稿',
   jd: '',
@@ -211,6 +211,7 @@ const submit = async (saveMode = 'update') => {
   const nextJob = normalizeJob({
     ...(existing.value || {}),
     id: existing.value?.id || uid('job'),
+    createdAt: existing.value?.createdAt || new Date().toISOString(),
     title: form.title,
     department: form.department,
     category: form.category || '默认岗位',

vue-app/src/components/jobs/JobList.vue

@@ -104,6 +104,20 @@ const openingsFor = (job) => {
   return diff > 0 ? `还差 ${diff} 人` : '目标已完成'
 }
 
+const formatCreatedAt = (value) => {
+  if (!value) return '—'
+  const date = new Date(value)
+  return Number.isNaN(date.getTime())
+    ? '—'
+    : date.toLocaleString('zh-CN', {
+        year: 'numeric',
+        month: '2-digit',
+        day: '2-digit',
+        hour: '2-digit',
+        minute: '2-digit',
+      })
+}
+
 // 主按钮：进入岗位详情并定位到对应 Tab
 const openDetail = (job, tab = 'overview') => {
   router.push({ path: `/jobs/${job.id}`, query: tab && tab !== 'overview' ? { tab } : {} })
@@ -133,6 +147,7 @@ const duplicateJob = (job) => {
     ...job,
     id: uid('job'),
     title: `${job.title}(副本)`,
+    createdAt: new Date().toISOString(),
     status: '草稿',
     jdStatus: JD_STATUS.DRAFT,
     approvalStatus: '未发起',
@@ -285,6 +300,7 @@ const deleteJob = async (job) => {
                 {{ jobStateBadge(`JD · ${job.jdStatus || '草稿'}`).text }}
               </span>
             </div>
+            <div class="job-created-at">创建于 {{ formatCreatedAt(job.createdAt) }}</div>
           </div>
           <div class="job-list-progress">
             <div>
@@ -563,6 +579,12 @@ const deleteJob = async (job) => {
     display: flex;
     gap: 6px;
   }
+
+  .job-created-at {
+    margin-top: 8px;
+    color: var(--muted);
+    font-size: 12px;
+  }
 }
 
 .job-state-badge {

vue-app/src/utils/jobFlow.js

 import { extractKeywords } from './keywords.js'
 import { jobCandidates } from './links.js'
 import { analysisNeedsRefresh, quickMatchNeedsRefresh } from './analysis.js'
-import { JOB_STATUS, JD_STATUS, APPROVAL_STATUS, CHANNEL_STATUS, MATCH_RULE_STATUS } from './jobStatus.js'
+import { JOB_STATUS, JD_STATUS, APPROVAL_STATUS, CHANNEL_STATUS } from './jobStatus.js'
 
 export function buildJobCriteria(job = {}) {
   const split = (value) =>
@@ -66,6 +66,10 @@ export function jobPriority(job = {}) {
   return job.priority === '高' ? 1 : 0
 }
 
+export function hasJdContent(job = {}) {
+  return Boolean(job.jd || job.responsibilities || job.requirements || job.mustHave)
+}
+
 export function jobActionFor(job = {}) {
   if (job.status === JOB_STATUS.PAUSED) {
     return {
@@ -83,22 +87,28 @@ export function jobActionFor(job = {}) {
       tab: 'overview',
     }
   }
-  if (!job.jd || job.jdStatus === JD_STATUS.DRAFT) {
+  if (!hasJdContent(job)) {
     return {
-      title: '补齐岗位说明',
-      description: '先明确职责与要求，后续发布和匹配才会更准确。',
-      label: '完善 JD',
+      title: '生成 JD 草稿',
+      description: '先生成首版岗位说明和招聘标准，再进入用人确认。',
+      label: '生成 JD 草稿',
       tab: 'flow',
       step: 1,
     }
   }
-  if ([JD_STATUS.PENDING_CONFIRM, JD_STATUS.APPROVING].includes(job.jdStatus)) {
+  if ([JD_STATUS.DRAFT, JD_STATUS.PENDING_CONFIRM, JD_STATUS.APPROVING].includes(job.jdStatus)) {
+    const approving = job.jdStatus === JD_STATUS.APPROVING
+    const confirmed = job.approvalStatus === APPROVAL_STATUS.DEPARTMENT_CONFIRMED
     return {
-      title: '确认 JD 后发布',
-      description: '岗位说明已准备好，先确认内容，再提交审批并进入发布。',
-      label: job.jdStatus === JD_STATUS.PENDING_CONFIRM ? '去确认 JD' : '查看审批',
+      title: approving ? '确认 JD 生效' : confirmed ? '提交 JD 审批' : '确认 JD 后发布',
+      description: approving
+        ? 'JD 已提交审批，审批通过后正式生效并进入发布。'
+        : confirmed
+          ? '用人部门已确认 JD，下一步提交审批。'
+          : '草稿已生成，先确认内容，再提交审批并进入发布。',
+      label: approving ? '去确认生效' : confirmed ? '提交审批' : '去确认 JD',
       tab: 'flow',
-      step: 2,
+      step: approving ? 3 : 2,
     }
   }
   if (job.jdStatus === JD_STATUS.EFFECTIVE && job.channelStatus && job.channelStatus !== CHANNEL_STATUS.SYNCED) {
@@ -164,41 +174,53 @@ export function jobWorkflow(job = {}, candidates = []) {
         ? 4
         : 3
       : status === JD_STATUS.APPROVING
-        ? 2
+        ? 3
         : status === JD_STATUS.PENDING_CONFIRM
           ? 2
           : status === JD_STATUS.DRAFT
-            ? 1
+            ? hasJdContent(job)
+              ? 2
+              : 1
             : 0
-  const next =
-    status === JD_STATUS.DRAFT
-      ? { title: '完善 JD 草稿', desc: '先生成并检查岗位说明，再交给用人部门确认。', action: '生成 / 编辑 JD' }
-      : status === JD_STATUS.PENDING_CONFIRM
-        ? {
+  let next
+  if (!hasJdContent(job)) {
+    next = { title: '生成 JD 草稿', desc: '先生成岗位说明，再交给用人部门确认。', action: '生成 JD 草稿' }
+  } else if (status === JD_STATUS.DRAFT) {
+    const confirmed = job.approvalStatus === APPROVAL_STATUS.DEPARTMENT_CONFIRMED
+    next = confirmed
+      ? { title: '提交 JD 审批', desc: '用人部门已确认 JD，下一步提交审批。', action: '提交审批' }
+      : { title: '用人部门确认 JD', desc: '草稿已生成，先确认内容，再提交审批。', action: '确认 JD 内容' }
+  } else if (status === JD_STATUS.PENDING_CONFIRM) {
+    const confirmed = job.approvalStatus === APPROVAL_STATUS.DEPARTMENT_CONFIRMED
+    next = confirmed
+      ? { title: '提交 JD 审批', desc: '用人部门已确认 JD，下一步提交审批。', action: '提交审批' }
+      : {
           title: '用人部门确认 JD',
           desc: '确认岗位说明、职责和硬性条件，确认后才能提交审批。',
           action: '确认 JD 内容',
         }
-        : status === JD_STATUS.APPROVING
-          ? { title: '跟进 JD 审批', desc: 'JD 已提交审批，审批通过后才能正式生效。', action: '查看审批状态' }
-          : status !== JD_STATUS.EFFECTIVE
-            ? { title: '确认 JD 生效', desc: 'JD 未生效前，简历匹配只能作为草稿依据。', action: '确认生效' }
-            : staleCandidates.length
-              ? {
+  } else if (status === JD_STATUS.APPROVING) {
+    next = { title: '确认 JD 生效', desc: 'JD 已提交审批，审批通过后正式生效并进入发布。', action: '去确认生效' }
+  } else if (status !== JD_STATUS.EFFECTIVE) {
+    next = { title: '确认 JD 生效', desc: 'JD 未生效前，简历匹配只能作为草稿依据。', action: '确认生效' }
+  } else if (staleCandidates.length) {
+    next = {
       title: '重评关联候选人',
       desc: `${staleCandidates.length} 位候选人的匹配/AI评估基于旧 JD，需要刷新。`,
       action: '批量重新匹配 / AI重评',
     }
-              : related.length
-                ? {
+  } else if (related.length) {
+    next = {
       title: '继续推进候选人',
       desc: `当前岗位已关联 ${related.length} 位候选人，可从简历库推进面试或 Offer。`,
       action: '查看候选人',
     }
-                : {
+  } else {
+    next = {
       title: '补充候选人',
       desc: 'JD 已生效但暂无关联候选人，下一步上传简历或从渠道导入。',
       action: '上传简历',
     }
+  }
   return { related, staleCandidates, steps, currentIndex, next }
 }

vue-app/src/utils/normalize.js

@@ -114,6 +114,7 @@ export function normalizeJob(job = {}) {
         }))
   return {
     category: '默认岗位',
+    createdAt: job.createdAt || job.created_at || '',
     salaryRange: '',
     jdVersion: job.jdStatus === '已生效' ? 'v1 当前生效' : 'v1 草稿',
     approvalStatus: '未发起',