feat(mcp-macro): add compute_percentile + classify_extreme pure helpers

services/mcp-macro/src/mcp_macro/cot.py

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+"""Pure-logic helpers per COT report parsing e analytics.
+
+Niente HTTP qui — orchestrazione fetch sta in fetchers.py. Tutto testabile
+in isolamento.
+"""
+from __future__ import annotations
+
+from typing import Literal
+
+ExtremeSignal = Literal["extreme_short", "extreme_long", "neutral"]
+
+
+def compute_percentile(value: float, history: list[float]) -> float | None:
+    """Percentile di `value` rispetto ad `history` (0-100, inclusive).
+
+    Restituisce None se history vuoto. Clipped a [0, 100] se value fuori range.
+    """
+    if not history:
+        return None
+    n = len(history)
+    below_or_eq = sum(1 for h in history if h <= value)
+    pct = 100.0 * below_or_eq / n
+    return max(0.0, min(100.0, pct))
+
+
+def classify_extreme(percentile: float | None, threshold: float = 5.0) -> ExtremeSignal:
+    """Classifica un percentile come estremo short/long o neutral.
+
+    threshold default 5 → flagga ≤ 5 come short, ≥ 100-5=95 come long.
+    """
+    if percentile is None:
+        return "neutral"
+    if percentile <= threshold:
+        return "extreme_short"
+    if percentile >= 100.0 - threshold:
+        return "extreme_long"
+    return "neutral"