feat: 添加线索引擎、NLQ、场景检测、前端界面等核心功能模块

2026-06-16 08:15:15 +08:00
parent 7b1e2b10a8
commit 48340f6011
62 changed files with 6772 additions and 65 deletions
@@ -0,0 +1,53 @@
+"""生成演示数据：跑两个场景扫描，落库若干线索，供前端看板演示。
+
+用法：python -m scripts.seed_demo
+仅用于本地演示，使用脱敏/虚构数据，不涉及真实业务数据。
+"""
+
+from __future__ import annotations
+
+from app.db import get_sessionmaker
+from app.engines import scan
+from app.scenarios.churn_fraud import CohortPoint
+from app.scenarios.split_contract import ContractRecord
+
+
+def main() -> None:
+    sm = get_sessionmaker()
+    with sm() as session:
+        # 场景一：8 个客户拆单 + 同一实控人
+        contracts = [
+            ContractRecord(f"HT-{i}", f"政企客户{i}", 790000 + i * 25000) for i in range(8)
+        ]
+        r1 = scan.run_split_contract_scan(
+            session, contracts, approval_threshold=1_000_000, shared_controller=True
+        )
+
+        # 场景二：养卡骗补，第 3 月断崖退订
+        curve = [
+            CohortPoint(0, 1.0), CohortPoint(1, 0.96),
+            CohortPoint(2, 0.92), CohortPoint(3, 0.08),
+        ]
+        r2 = scan.run_churn_scan(
+            session, retention_curve=curve, commission_paid=360000,
+            active_ratio=0.04, zero_usage_ratio=0.93, channel_key="渠道-华南-001",
+        )
+
+        # 再来一条中置信
+        curve2 = [CohortPoint(0, 1.0), CohortPoint(1, 0.7), CohortPoint(2, 0.55)]
+        r3 = scan.run_churn_scan(
+            session, retention_curve=curve2, commission_paid=80000,
+            active_ratio=0.4, zero_usage_ratio=0.5, channel_key="渠道-西南-007",
+        )
+
+        session.commit()
+        for r in (r1, r2, r3):
+            if r.clue:
+                print(f"已生成线索 [{r.scenario_code}] {r.clue.title} "
+                      f"置信={r.clue.confidence.value} 评分={r.clue.score}")
+            else:
+                print(f"[{r.scenario_code}] 未命中阈值，无线索")
+
+
+if __name__ == "__main__":
+    main()