README.md

@@ -24,7 +24,9 @@ python scripts/create_user.py --emp-no admin001 --name 管理员 --role admin --
 
 OCR 接口：`POST /api/v1/ocr/recognize` 接收最多 5 个 JPG、PNG 或 PDF 文件，图片调用百度 WebImage，PDF 调用 PaddleOCR-VL 文档解析；返回可编辑字段、检测数值、置信度及标准库判定。`POST /api/v1/ocr/judge` 用于人工修正检测值后重新判定，`GET /api/v1/ocr/files/{file_id}` 通过登录鉴权读取原始附件。启用前配置 `BAIDU_OCR_API_KEY` 和 `BAIDU_OCR_SECRET_KEY`，并执行数据库迁移。
 
-角色采用管理员 `admin`、产品经理 `product_manager`、审核员 `reviewer`、普通用户 `普通用户` 四类。模型权重由管理员通过 `GET/PATCH /api/v1/model-config` 维护，七维权重合计必须为 100%，修改仅对新评估生效。
+角色采用管理员 `admin`、产品经理 `product_manager`、审核员 `reviewer`、普通用户 `user` 四类。模型权重由管理员通过 `GET/PATCH /api/v1/model-config` 维护，七维权重合计必须为 100%，修改仅对新评估生效。
+
+钉钉免登用户按两级规则同步：钉钉管理员或部门主管映射为 `admin`（已包含审核权限），其他钉钉用户统一映射为 `user`。`product_manager` 和 `reviewer` 仅保留给非钉钉账号或后续独立用户管理流程使用。
 
 健康检查：`GET http://127.0.0.1:18474/api/v1/health`
 

app/services/conversations.py

@@ -156,7 +156,7 @@ class ConversationService:
         assistant_message = ConversationMessage(
             conversation_id=conversation.id,
             role="assistant",
-            content="已根据当前描述完成风险预估，下面是本轮分析结果。你可以继续补充产品、供应商或标准信息。",
+            content="已根据当前描述完成风险预警分析，下面是本轮分析结果。你可以继续补充产品、供应商或标准信息。",
             structured_data=(
                 {"riskResult": risk_result.model_dump(mode="json", by_alias=False)}
                 if risk_result
@@ -320,7 +320,7 @@ class ConversationService:
             {
                 "role": "system",
                 "content": (
-                    "你是蝶雅产品风险预估助手。请基于用户当前问题和历史上下文回答，"
+                    "你是蝶雅产品风险预警助手。请基于用户当前问题和历史上下文回答，"
                     "持续理解产品品类、规格、包材、供应商、加工厂和开发阶段。"
                     "回答要具体、简洁、可执行；不要声称已经完成 RAG、OCR 或语音识别。"
                 ),

app/services/dingtalk_auth.py

@@ -125,10 +125,8 @@ class DingTalkAuthService:
         role = self.map_role(
             str(detail.get("dept_name") or detail.get("deptName") or ""),
             str(detail.get("title") or detail.get("position") or ""),
-            bool(detail.get("is_admin") or detail.get("is_dept_manager")),
+            self._is_dingtalk_manager(detail),
         )
-        if user is not None and role == "普通用户" and user.role != "普通用户":
-            role = user.role
         if user is None:
             user = UserAccount(
                 emp_no=f"dt_{user_id}"[:20],
@@ -153,11 +151,7 @@ class DingTalkAuthService:
             user.dingtalk_dept_id = int(dept_id) if dept_id is not None else None
         except (TypeError, ValueError):
             user.dingtalk_dept_id = None
-        user.dingtalk_is_dept_manager = bool(
-            detail.get("is_admin")
-            or detail.get("is_dept_manager")
-            or user.dingtalk_is_dept_manager
-        )
+        user.dingtalk_is_dept_manager = self._is_dingtalk_manager(detail)
         role_codes = detail.get("role_list") or user.dingtalk_role_codes
         if isinstance(role_codes, (list, dict)):
             role_codes = json.dumps(role_codes, ensure_ascii=False)
@@ -170,15 +164,35 @@ class DingTalkAuthService:
 
     @staticmethod
     def map_role(dept: str, title: str, is_admin: bool = False) -> str:
-        """Map DingTalk organization snapshots to the four-role administration model."""
+        """Map DingTalk users to admin (including review) or regular user."""
 
-        text = f"{dept} {title}".lower()
-        if is_admin or "it" in text or "信息" in text or "系统" in text:
-            return "admin"
-        if "审核" in text or "review" in text:
-            return "reviewer"
-        if "产品经理" in text or "product manager" in text or (
-            "产品" in dept and ("经理" in title or "主管" in title)
-        ):
-            return "product_manager"
-        return "普通用户"
+        return "admin" if is_admin else "user"
+
+    @staticmethod
+    def _is_dingtalk_manager(detail: dict) -> bool:
+        """Read administrator/department-leader flags from DingTalk API variants."""
+
+        direct = (
+            detail.get("admin"),
+            detail.get("is_admin"),
+            detail.get("isAdmin"),
+            detail.get("is_dept_manager"),
+            detail.get("isDeptManager"),
+        )
+        if any(value is True or str(value).lower() in {"1", "true"} for value in direct if value is not None):
+            return True
+        leaders = detail.get("leader_in_dept") or detail.get("leaderInDept") or []
+        if isinstance(leaders, dict):
+            leaders = [leaders]
+        if isinstance(leaders, list):
+            return any(
+                item is True
+                or str(item).lower() in {"1", "true"}
+                or isinstance(item, dict)
+                and any(
+                    value is True or str(value).lower() in {"1", "true"}
+                    for value in item.values()
+                )
+                for item in leaders
+            )
+        return False

app/services/llm_client.py

@@ -89,7 +89,7 @@ class LLMClient:
             {
                 "role": "system",
                 "content": (
-                    "你是蝶雅产品风险预估系统的语义理解模块。"
+                    "你是蝶雅产品风险预警系统的语义理解模块。"
                     "只输出合法 JSON，不要输出 Markdown。请输出 json object。抽取用户输入中的意图和风险评估参数。"
                     "intent 只能是 greet、general、assessment、supplier、material、cases、"
                     "standard、compliance、solution 之一。"
@@ -142,7 +142,7 @@ class LLMClient:
             {
                 "role": "system",
                 "content": (
-                    "你是蝶雅产品风险预估系统的OCR字段抽取模块，只输出合法JSON对象。"
+                    "你是蝶雅产品风险预警系统的OCR字段抽取模块，只输出合法JSON对象。"
                     "只能提取输入文字明确出现的信息，不得推测或补造。输出字段：product_name、product_category、"
                     "supplier、factory、material_type、stage_new、description、defect_level、occurred_on、confidence、"
                     "measurements。缺失标量用null。defect_level只能是A、B、C或null；occurred_on使用YYYY-MM-DD或null。"
@@ -199,7 +199,7 @@ class LLMClient:
             {
                 "role": "system",
                 "content": (
-                    "你是蝶雅产品风险预估系统的预防方案生成模块。"
+                    "你是蝶雅产品风险预警系统的预防方案生成模块。"
                     "请根据提供的风险评估数据生成可执行的质量预防建议。"
                     "只输出合法 json object，不要输出 Markdown，格式必须是 "
                     '{"suggestions":["建议1","建议2"]}。'

app/services/reports.py

@@ -258,8 +258,8 @@ def build_risk_report_pdf(result: RiskAssessmentResult) -> bytes:
     standard_cards = report_data["standard_cards"]
     section_shift = 1 if material_cards else 0
     story = [
-        Paragraph("新品风险预估报告", title),
-        Paragraph(f"蝶雅产品部 · 风险预估系统 · 自动生成 · {generated_at}", subtitle),
+        Paragraph("新品风险预警报告", title),
+        Paragraph(f"蝶雅产品部 · 风险预警系统 · 自动生成 · {generated_at}", subtitle),
         Paragraph(
             f"产品/评估对象：{result.subject_id}　　供应商：{supplier_name or '未指定'}　　报告编号：{report_number}",
             body,
@@ -451,7 +451,7 @@ def build_risk_report_pdf(result: RiskAssessmentResult) -> bytes:
         leftMargin=18 * mm,
         topMargin=16 * mm,
         bottomMargin=16 * mm,
-        title="蝶雅新品风险预估报告",
+        title="蝶雅新品风险预警报告",
     )
     doc.build(story)
     return output.getvalue()
@@ -471,12 +471,12 @@ def build_risk_report_docx(result: RiskAssessmentResult) -> bytes:
     normal.font.size = Pt(9)
     title = document.add_paragraph()
     title.alignment = WD_ALIGN_PARAGRAPH.CENTER
-    run = title.add_run("新品风险预估报告")
+    run = title.add_run("新品风险预警报告")
     run.bold = True
     run.font.size = Pt(20)
     subtitle = document.add_paragraph()
     subtitle.alignment = WD_ALIGN_PARAGRAPH.CENTER
-    subtitle.add_run(f"蝶雅产品部 · 风险预估系统 · 自动生成 · {result.subject_id}").font.size = Pt(9)
+    subtitle.add_run(f"蝶雅产品部 · 风险预警系统 · 自动生成 · {result.subject_id}").font.size = Pt(9)
     report_data = aggregate_report_data(result)
     standards = report_data["standards"]
     similar_cases = report_data["similar_cases"]

migrations/versions/20260911_0020_english_user_role.py

@@ -0,0 +1,31 @@
+"""Normalize the final Chinese system role code to English."""
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = "20260911_0020"
+down_revision: str | None = "20260910_0019"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    connection = op.get_bind()
+    connection.execute(
+        sa.text("UPDATE user_accounts SET role = 'user', updated_at = now() WHERE role = '普通用户'")
+    )
+    connection.execute(
+        sa.text("UPDATE role_permissions SET role = 'user', updated_at = now() WHERE role = '普通用户'")
+    )
+
+
+def downgrade() -> None:
+    connection = op.get_bind()
+    connection.execute(
+        sa.text("UPDATE user_accounts SET role = '普通用户', updated_at = now() WHERE role = 'user'")
+    )
+    connection.execute(
+        sa.text("UPDATE role_permissions SET role = '普通用户', updated_at = now() WHERE role = 'user'")
+    )

migrations/versions/20260911_0021_dingtalk_two_role_policy.py

@@ -0,0 +1,31 @@
+"""Apply the admin/user policy to existing real DingTalk accounts."""
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = "20260911_0021"
+down_revision: str | None = "20260911_0020"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    op.get_bind().execute(
+        sa.text(
+            """
+            UPDATE user_accounts
+            SET role = CASE WHEN dingtalk_is_dept_manager THEN 'admin' ELSE 'user' END,
+                updated_at = now()
+            WHERE dingtalk_id IS NOT NULL
+              AND dingtalk_id NOT LIKE 'local-%'
+            """
+        )
+    )
+
+
+def downgrade() -> None:
+    # The previous product_manager/reviewer assignment cannot be reconstructed
+    # reliably; keep the current safe role instead of guessing on downgrade.
+    pass

scripts/create_user.py

@@ -47,7 +47,7 @@ def main() -> None:
     parser.add_argument(
         "--role",
         default="admin",
-        choices=("普通用户", "dev", "procurement", "qc", "ops", "reviewer", "manager", "admin"),
+        choices=("user", "product_manager", "reviewer", "admin"),
     )
     parser.add_argument("--email")
     args = parser.parse_args()

tests/test_auth.py

@@ -2,9 +2,15 @@ from app.services.dingtalk_auth import DingTalkAuthService
 
 
 def test_dingtalk_role_mapping() -> None:
-    assert DingTalkAuthService.map_role("产品部", "产品经理") == "product_manager"
-    assert DingTalkAuthService.map_role("品控部", "质量主管") == "普通用户"
-    assert DingTalkAuthService.map_role("采购部", "采购专员") == "普通用户"
-    assert DingTalkAuthService.map_role("", "审核员") == "reviewer"
+    assert DingTalkAuthService.map_role("产品部", "产品经理") == "user"
+    assert DingTalkAuthService.map_role("品控部", "质量主管") == "user"
+    assert DingTalkAuthService.map_role("采购部", "采购专员") == "user"
+    assert DingTalkAuthService.map_role("", "审核员") == "user"
     assert DingTalkAuthService.map_role("", "", is_admin=True) == "admin"
-    assert DingTalkAuthService.map_role("未知部门", "普通员工") == "普通用户"
+    assert DingTalkAuthService.map_role("未知部门", "普通员工") == "user"
+
+
+def test_dingtalk_manager_flag_variants() -> None:
+    assert DingTalkAuthService._is_dingtalk_manager({"admin": True})
+    assert DingTalkAuthService._is_dingtalk_manager({"leader_in_dept": [{"leader": True}]})
+    assert not DingTalkAuthService._is_dingtalk_manager({"admin": False, "leader_in_dept": []})

tests/test_conversations.py

@@ -11,7 +11,7 @@ def test_conversation_message_data_reads_persisted_risk_result() -> None:
         id=10,
         conversation_id=3,
         role="assistant",
-        content="已完成风险预估。",
+        content="已完成风险预警。",
         structured_data={
             "riskResult": {
                 "subjectId": "软管新品",