feat(regulatory-info-package): 接入对话和前端卡片

review_agent/skill_router.py

@@ -11,6 +11,10 @@ from .file_summary.workflow_trigger import (
 from .application_form_fill.constants import FORM_FILL_TRIGGER_KEYWORDS, WORKFLOW_TYPE as FORM_FILL_WORKFLOW_TYPE
 from .llm import LLMConfigurationError, LLMRequestError, generate_completion
 from .models import Conversation, FileAttachment
+from .regulatory_info_package.constants import (
+    REGULATORY_INFO_PACKAGE_TRIGGER_KEYWORDS,
+    WORKFLOW_TYPE as REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE,
+)
 
 
 logger = logging.getLogger(__name__)
@@ -18,6 +22,7 @@ logger = logging.getLogger(__name__)
 ROUTE_ACTIONS = {"normal_chat", "attachment_reader", "file_summary"}
 ROUTE_ACTIONS.add("regulatory_review")
 ROUTE_ACTIONS.add(FORM_FILL_WORKFLOW_TYPE)
+ROUTE_ACTIONS.add(REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE)
 
 
 @dataclass(frozen=True)
@@ -45,6 +50,10 @@ class SkillRoute:
     def starts_application_form_fill(self) -> bool:
         return self.action == FORM_FILL_WORKFLOW_TYPE
 
+    @property
+    def starts_regulatory_info_package(self) -> bool:
+        return self.action == REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE
+
     @property
     def is_normal_chat(self) -> bool:
         return self.action == "normal_chat"
@@ -80,6 +89,14 @@ def route_message_intent(conversation: Conversation, content: str) -> SkillRoute
 
 
 def _deterministic_workflow_route(conversation: Conversation, content: str) -> SkillRoute | None:
+    if _matches_regulatory_info_package(content):
+        return SkillRoute(
+            action=REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE,
+            workflow_type=REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE,
+            confidence=0.9,
+            reason="命中明确第1章监管信息材料包生成关键词。",
+            source="rule_preflight",
+        )
     if _matches_application_form_fill(content):
         return SkillRoute(
             action=FORM_FILL_WORKFLOW_TYPE,
@@ -144,7 +161,9 @@ def _route_with_llm(
     return SkillRoute(
         action=action,
         skill_name="attachment_reader" if action == "attachment_reader" else "",
-        workflow_type=action if action in {"file_summary", "regulatory_review", FORM_FILL_WORKFLOW_TYPE} else "",
+        workflow_type=action
+        if action in {"file_summary", "regulatory_review", FORM_FILL_WORKFLOW_TYPE, REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE}
+        else "",
         confidence=_float_or_zero(payload.get("confidence")),
         reason=str(payload.get("reason") or ""),
         source="llm",
@@ -152,6 +171,15 @@ def _route_with_llm(
 
 
 def _route_with_rules(conversation: Conversation, content: str) -> SkillRoute:
+    if _matches_regulatory_info_package(content):
+        return SkillRoute(
+            action=REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE,
+            workflow_type=REGULATORY_INFO_PACKAGE_WORKFLOW_TYPE,
+            confidence=0.7,
+            reason="命中第1章监管信息材料包生成关键词。",
+            source="rule_fallback",
+        )
+
     if _matches_application_form_fill(content):
         return SkillRoute(
             action=FORM_FILL_WORKFLOW_TYPE,
@@ -210,11 +238,12 @@ def _router_system_prompt() -> str:
     return (
         "你是审核智能体的工具路由器，只判断是否需要调用工具，不直接回答用户。"
         "你必须只输出 JSON 对象，不要输出 Markdown。"
-        "可选 action：normal_chat、attachment_reader、file_summary、regulatory_review、application_form_fill。"
+        "可选 action：normal_chat、attachment_reader、file_summary、regulatory_review、application_form_fill、regulatory_info_package。"
         "attachment_reader 用于用户要求阅读、提取、分析、总结、查看上传附件内容。"
         "file_summary 用于用户要求自动汇总文件目录、页数、清单或生成目录页数报告。"
         "regulatory_review 用于用户要求法规核查、NMPA核查、完整性核查、章节一致性核查、风险预警或整改建议。"
         "application_form_fill 用于用户要求填注册证、生成申报模板、填写对应表格、安全和性能基本原则清单或自动填表。"
+        "regulatory_info_package 用于用户要求根据说明书生成第1章监管信息、监管信息材料包、申请表、产品列表或声明材料包。"
         "normal_chat 用于不需要读取附件或执行工作流的一般问答。"
         "输出字段：action、confidence、reason。"
     )
@@ -268,6 +297,11 @@ def _matches_regulatory_review(content: str) -> bool:
     return any(keyword in normalized for keyword in keywords)
 
 
+def _matches_regulatory_info_package(content: str) -> bool:
+    normalized = "".join((content or "").lower().split())
+    return any("".join(keyword.lower().split()) in normalized for keyword in REGULATORY_INFO_PACKAGE_TRIGGER_KEYWORDS)
+
+
 def _matches_application_form_fill(content: str) -> bool:
     normalized = content.lower()
     return any(keyword.lower() in normalized for keyword in FORM_FILL_TRIGGER_KEYWORDS)