feat: add feishu question preview services

review_agent/feishu_questions/intent.py

@@ -0,0 +1,43 @@
+from __future__ import annotations
+
+import re
+
+
+WORKFLOW_KEYWORDS = {
+    "regulatory_review": ("法规核查", "风险", "整改", "RR-"),
+    "application_form_fill": ("自动填表", "填表", "申报文件", "AFF-"),
+    "file_summary": ("自动汇总", "文件汇总", "目录", "页数", "FS-"),
+}
+
+
+def parse_question_intent(text: str) -> dict[str, object]:
+    normalized = (text or "").strip()
+    batch_no = _extract_batch_no(normalized)
+    workflow_type = _detect_workflow_type(normalized, batch_no)
+    latest = bool(re.search(r"(最新|最近|上一个|最后一个)", normalized))
+    intent = "batch_status" if batch_no or latest else "unknown"
+    if workflow_type == "regulatory_review" and any(keyword in normalized for keyword in ["风险", "阻断", "整改"]):
+        intent = "risk_summary"
+    if workflow_type == "application_form_fill" and any(keyword in normalized for keyword in ["导出", "文件", "word", "Word"]):
+        intent = "export_summary"
+    if workflow_type == "file_summary" and any(keyword in normalized for keyword in ["缺失", "目录", "页数"]):
+        intent = "missing_summary"
+    return {
+        "intent": intent,
+        "workflow_type": workflow_type,
+        "batch_no": batch_no,
+        "latest": latest or not batch_no,
+    }
+
+
+def _extract_batch_no(text: str) -> str:
+    match = re.search(r"\b(?:RR|AFF|FS)-[A-Za-z0-9-]+", text, flags=re.IGNORECASE)
+    return match.group(0).upper() if match else ""
+
+
+def _detect_workflow_type(text: str, batch_no: str = "") -> str:
+    source = f"{text} {batch_no}"
+    for workflow_type, keywords in WORKFLOW_KEYWORDS.items():
+        if any(keyword in source for keyword in keywords):
+            return workflow_type
+    return ""