refactor: establish standalone application boundary

2026-08-03 21:42:25 +08:00
parent cc5fb8d73e
commit e1e76cd51e
324 changed files with 63090 additions and 44743 deletions
@@ -0,0 +1,53 @@
+from __future__ import annotations
+
+from typing import Any
+
+from backend.data.numbers import finite_number as _number
+from backend.features.screener.catalog import REGIMES
+from backend.features.screener.indicators import _regime_reason
+from backend.features.sentiment.engine import build_sentiment_history, latest_contiguous_history
+from database import ReviewDatabase
+
+
+class RegimeDetector:
+    def __init__(self, database: ReviewDatabase) -> None:
+        self.database = database
+
+    def detect_regime(self, trade_date: str) -> dict[str, Any]:
+        series = latest_contiguous_history(
+            build_sentiment_history(self.database.list_snapshot_payloads(trade_date, 260))
+        )
+        if not series:
+            return {
+                "id": "repair", "label": REGIMES["repair"], "confidence": 25,
+                "reason": "复盘快照不足，暂按中性修复处理。", "evidence": [], "history": [],
+            }
+        current = series[-1]
+        previous = series[-2] if len(series) > 1 else current
+        score = _number(current.get("score"))
+        previous_score = _number(previous.get("score"))
+        delta = score - previous_score
+        seal_rate = _number(current.get("seal_rate"))
+        limit_up = _number(current.get("limit_up_count"))
+        broken = _number(current.get("broken_count"))
+        regime = next(
+            (key for key, label in REGIMES.items() if label == current.get("phase")),
+            "divergence",
+        )
+        confidence = min(92, 45 + len(series[-8:]) * 5 + min(abs(delta), 12))
+        evidence = [
+            f"情绪温度 {score:.0f}，较前一交易日 {delta:+.0f}，{current.get('direction') or '持平'}",
+            f"封板率 {seal_rate:.1f}%",
+            f"涨停 {limit_up:.0f} 家，炸板 {broken:.0f} 家",
+        ]
+        return {
+            "id": regime,
+            "label": REGIMES[regime],
+            "confidence": round(confidence),
+            "reason": _regime_reason(regime),
+            "evidence": evidence,
+            "history": [
+                {"trade_date": item["trade_date"], "score": _number(item.get("score"))}
+                for item in series[-8:]
+            ],
+        }