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group_fqcd_jr/tools/probe_exemption_data.py
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张胜宇 e239eb778b docs: 品牌全量口径统一为「南方基金」+ 作废文档清理
1) 客服 Agent 四份交付文档 + 构建脚手架:品牌由包装占位 XX科技 / 旧名 南方财富
   统一为南方基金(热线 400-889-8899 / 官网 nffund.com),系统名改为「智能服务系统」;
   同步追加 §0.4 修订记录行,工程记录行保留原占位字面以支撑硬编码扫描验收。
2) 开发文档:清理 28 份已作废/残留文档(14 份移出归档 + 14 份仓库副本),
   新增《文档规整方案与开发前待决事项-2026-09-17》。
3) 客服agent 四份交付文档首次纳入本分支。
2026-09-17 15:15:22 +08:00

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"""只读探查:第十五条豁免规则(持仓占比)所需的数据是否齐备。
只做 SELECT。结果写 `docs/evidence/exemption-data-probe.json`:
python tools/probe_exemption_data.py
要回答的问题:
1. `fin_customer_profile.total_asset` 有没有值、是否为正;
2. `fin_holding` 有没有行、`market_value` / `current_value` 是否可用;
3. 库内是否存在 C3→R4 / C4→R5 的申购交易 —— 即这条豁免规则是否真的会被触发。
"""
from __future__ import annotations
import asyncio
import json
from pathlib import Path
from typing import Any
from sqlalchemy import text
from app.infrastructure.db import SessionFactory
OUTPUT = Path("docs/evidence/exemption-data-probe.json")
QUERIES: dict[str, str] = {
"profile_total_asset": """
SELECT COUNT(*) AS rows_count,
SUM(total_asset > 0) AS positive_assets,
SUM(total_asset = 0) AS zero_assets,
MIN(total_asset) AS min_asset,
MAX(total_asset) AS max_asset
FROM fin_customer_profile
""",
"profile_investor_type": """
SELECT investor_type, COUNT(*) AS rows_count
FROM fin_customer_profile GROUP BY investor_type ORDER BY investor_type
""",
"holding_shape": """
SELECT COUNT(*) AS rows_count,
SUM(market_value IS NULL) AS null_market_value,
SUM(current_value > 0) AS positive_current_value,
MIN(current_value) AS min_current_value,
MAX(current_value) AS max_current_value
FROM fin_holding
""",
"subscription_pairs": """
SELECT c.investor_type AS customer_level,
p.risk_level AS product_level,
COUNT(*) AS transactions
FROM fin_transaction t
JOIN fin_customer_profile c ON c.customer_id = t.customer_id
JOIN fin_product p ON p.id = t.product_id
WHERE t.transaction_type = '申购'
GROUP BY c.investor_type, p.risk_level
ORDER BY c.investor_type, p.risk_level
""",
"exemptible_pairs_detail": """
SELECT t.transaction_no,
c.investor_type AS customer_level,
p.risk_level AS product_level,
c.total_asset,
(
SELECT h.current_value FROM fin_holding h
WHERE h.customer_id = t.customer_id AND h.product_id = t.product_id
ORDER BY h.id DESC LIMIT 1
) AS holding_current_value
FROM fin_transaction t
JOIN fin_customer_profile c ON c.customer_id = t.customer_id
JOIN fin_product p ON p.id = t.product_id
WHERE t.transaction_type = '申购'
AND (
(c.investor_type = 'C3' AND p.risk_level = 'R4')
OR (c.investor_type = 'C4' AND p.risk_level = 'R5')
)
ORDER BY t.id
""",
}
async def collect() -> dict[str, Any]:
report: dict[str, Any] = {}
async with SessionFactory() as session:
for name, sql in QUERIES.items():
rows = (await session.execute(text(sql))).mappings().all()
report[name] = [dict(row) for row in rows]
return report
async def main() -> None:
report = await collect()
OUTPUT.parent.mkdir(parents=True, exist_ok=True)
OUTPUT.write_text(
json.dumps(report, ensure_ascii=False, indent=2, default=str),
encoding="utf-8",
)
print(f"wrote {OUTPUT}")
if __name__ == "__main__":
asyncio.run(main())