98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""AlphaX 推送与状态流转口径审计脚本。"""
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import json
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import os
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import sqlite3
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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DB = Path(os.getenv("ALPHAX_DB_PATH", str(ROOT / "data" / "altcoin_monitor.db")))
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conn = sqlite3.connect(DB)
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conn.row_factory = sqlite3.Row
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errors = []
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warnings = []
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def rows(sql, params=()):
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return [dict(r) for r in conn.execute(sql, params).fetchall()]
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# 1. 仍在 active 的同一 symbol 只能有一条实时/观察主记录。
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dups = rows("""
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SELECT symbol, COUNT(*) c, GROUP_CONCAT(id) ids
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FROM recommendation
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WHERE status='active' AND COALESCE(display_bucket,'watch_pool') != 'history'
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GROUP BY symbol HAVING COUNT(*) > 1
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""")
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if dups:
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errors.append({"rule": "active_symbol_unique", "rows": dups[:30]})
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# 2. 推送必须可追溯到推荐主记录。历史旧数据可能 rec_id=0，但新推送不应继续出现。
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missing_rec_id = rows("""
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SELECT id, symbol, push_type, action_status, pushed_at
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FROM push_log
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WHERE COALESCE(rec_id,0)=0
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ORDER BY id DESC
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LIMIT 20
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""")
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if missing_rec_id:
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warnings.append({"rule": "push_log_missing_rec_id_legacy_or_bug", "rows": missing_rec_id})
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# 3. 入场窗口 rec_time 不应被同一状态反复刷新：同一 rec_id/action 冷却期内重复推送要告警。
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duplicate_push = rows("""
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SELECT rec_id, symbol, push_type, action_status, COUNT(*) c, MIN(pushed_at) first_push, MAX(pushed_at) last_push
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FROM push_log
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WHERE COALESCE(rec_id,0) > 0
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GROUP BY rec_id, push_type, action_status
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HAVING COUNT(*) > 1
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ORDER BY c DESC, last_push DESC
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LIMIT 30
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""")
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if duplicate_push:
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errors.append({"rule": "duplicate_same_rec_action_push", "rows": duplicate_push})
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# 4. 可即刻买入必须有 rec_time/entry_price/current_price，且展示桶一致。
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bad_buy_now = rows("""
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SELECT id, symbol, rec_time, entry_price, current_price, action_status, execution_status, display_bucket
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FROM recommendation
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WHERE action_status='可即刻买入'
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AND NOT (execution_status='buy_now' AND display_bucket='realtime' AND COALESCE(entry_price,0)>0 AND COALESCE(current_price,0)>0 AND COALESCE(rec_time,'')!='')
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LIMIT 30
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""")
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if bad_buy_now:
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errors.append({"rule": "bad_buy_now_state", "rows": bad_buy_now})
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# 5. 失效/止损/反转/衰减不能留在实时/观察池。
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bad_invalid = rows("""
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SELECT id, symbol, status, action_status, execution_status, display_bucket
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FROM recommendation
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WHERE (status IN ('expired','stopped_out','invalid','archived') OR action_status IN ('衰减','反转','止损','放弃','过期','归档'))
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AND COALESCE(display_bucket,'') IN ('realtime','watch_pool')
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LIMIT 30
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""")
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if bad_invalid:
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errors.append({"rule": "invalid_still_visible", "rows": bad_invalid})
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rec_counts = dict(conn.execute("""
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SELECT
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COUNT(*) AS recommendation_count,
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SUM(CASE WHEN status='active' AND COALESCE(display_bucket,'watch_pool')!='history' THEN 1 ELSE 0 END) AS active_mainline_count,
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SUM(CASE WHEN action_status='可即刻买入' THEN 1 ELSE 0 END) AS buy_now_count
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FROM recommendation
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""").fetchone())
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push_counts = dict(conn.execute("""
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SELECT
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COUNT(*) AS push_count,
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SUM(CASE WHEN COALESCE(rec_id,0)=0 THEN 1 ELSE 0 END) AS push_missing_rec_id_count
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FROM push_log
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""").fetchone())
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summary = {
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"errors": errors,
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"warnings": warnings,
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"counts": {**rec_counts, **push_counts},
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}
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print(json.dumps(summary, ensure_ascii=False, indent=2))
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conn.close()
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if errors:
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raise SystemExit(1)
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