freedakgmail
54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
"""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。
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用法：python -m scripts.seed_demo
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仅用于本地演示，使用脱敏/虚构数据，不涉及真实业务数据。
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"""
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from __future__ import annotations
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from app.db import get_sessionmaker
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from app.engines import scan
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from app.scenarios.churn_fraud import CohortPoint
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from app.scenarios.split_contract import ContractRecord
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def main() -> None:
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sm = get_sessionmaker()
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with sm() as session:
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# 场景一：8 个客户拆单 + 同一实控人
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contracts = [
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ContractRecord(f"HT-{i}", f"政企客户{i}", 790000 + i * 25000) for i in range(8)
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]
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r1 = scan.run_split_contract_scan(
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session, contracts, approval_threshold=1_000_000, shared_controller=True
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)
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# 场景二：养卡骗补，第 3 月断崖退订
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curve = [
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CohortPoint(0, 1.0), CohortPoint(1, 0.96),
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CohortPoint(2, 0.92), CohortPoint(3, 0.08),
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]
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r2 = scan.run_churn_scan(
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session, retention_curve=curve, commission_paid=360000,
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active_ratio=0.04, zero_usage_ratio=0.93, channel_key="渠道-华南-001",
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)
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# 再来一条中置信
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curve2 = [CohortPoint(0, 1.0), CohortPoint(1, 0.7), CohortPoint(2, 0.55)]
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r3 = scan.run_churn_scan(
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session, retention_curve=curve2, commission_paid=80000,
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active_ratio=0.4, zero_usage_ratio=0.5, channel_key="渠道-西南-007",
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)
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session.commit()
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for r in (r1, r2, r3):
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if r.clue:
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print(f"已生成线索 [{r.scenario_code}] {r.clue.title} "
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f"置信={r.clue.confidence.value} 评分={r.clue.score}")
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else:
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print(f"[{r.scenario_code}] 未命中阈值，无线索")
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if __name__ == "__main__":
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main()
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