fix: graphe calculation
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@@ -906,14 +906,9 @@ def analyze_event(body: AnalyzeRequest):
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node_range = cfg.get("range")
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if node_range and len(node_range) == 2:
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lo, hi = float(node_range[0]), float(node_range[1])
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bound = max(abs(lo), abs(hi))
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if bound <= 10:
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# Plage type z-score : normalise surprise_pct → [-bound, +bound]
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inputs[input_id] = round(max(lo, min(hi, raw / 100 * bound)), 4)
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else:
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inputs[input_id] = round(max(lo, min(hi, raw)), 4)
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inputs[input_id] = round(max(lo, min(hi, raw)), 4)
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else:
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inputs[input_id] = round(raw / 100, 4) # fractional par défaut
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inputs[input_id] = round(raw, 4)
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elif src == "impact_score_scaled" and event.get("impact_score") is not None:
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inputs[input_id] = float(event["impact_score"]) / 10.0
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elif src == "impact_score_pct" and event.get("impact_score") is not None:
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@@ -1239,13 +1234,9 @@ def _run_auto_analysis(event: dict, template_id: int) -> dict:
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else:
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if node_range and len(node_range) == 2:
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lo, hi = float(node_range[0]), float(node_range[1])
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bound = max(abs(lo), abs(hi))
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if bound <= 10:
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inputs[input_id] = round(max(lo, min(hi, raw / 100 * bound)), 4)
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else:
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inputs[input_id] = round(max(lo, min(hi, raw)), 4)
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inputs[input_id] = round(max(lo, min(hi, raw)), 4)
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else:
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inputs[input_id] = round(raw / 100, 4)
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inputs[input_id] = round(raw, 4)
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elif src == "impact_score_scaled" and event.get("impact_score") is not None:
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inputs[input_id] = float(event["impact_score"]) / 10.0
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