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6835659 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | from __future__ import annotations
from typing import Any, Dict
LABEL_EXPLANATION = {
"HIGH_COHERENCE": "All modalities align strongly in meaning and tone.",
"LOCAL_MODALITY_WEAKNESS": "One modality shows mild abstraction but does not harm overall coherence.",
"MODALITY_FAILURE": "Modalities diverge semantically and require regeneration.",
"GLOBAL_FAILURE": "Cross-modal semantic alignment failed.",
}
LABEL_TO_SUMMARY = {
"HIGH_COHERENCE": "Strong cross-modal semantic agreement.",
"LOCAL_MODALITY_WEAKNESS": "Minor abstraction in one modality; overall coherence preserved.",
"MODALITY_FAILURE": "Significant mismatch detected; regeneration required.",
"GLOBAL_FAILURE": "Global mismatch detected; full regeneration required.",
}
LABEL_TO_DECISION = {
"HIGH_COHERENCE": ("ACCEPTED", "high", "pipeline_completed"),
"LOCAL_MODALITY_WEAKNESS": ("ACCEPTED_WITH_NOTE", "medium", "pipeline_completed"),
"MODALITY_FAILURE": ("REGENERATE", "low", "targeted_regeneration"),
"GLOBAL_FAILURE": ("REGENERATE", "low", "full_regeneration"),
}
def build_final_assessment(
coherence: Dict[str, Any],
retry_outcomes: list[Dict[str, Any]] | None = None,
) -> Dict[str, Any]:
classification = coherence.get("classification", {})
label = classification.get("label", "UNKNOWN")
reason = classification.get("reason", "No classification available.")
decision, confidence, system_action = LABEL_TO_DECISION.get(
label,
("UNKNOWN", "unknown", "none"),
)
summary = LABEL_TO_SUMMARY.get(label, "No summary available.")
if retry_outcomes:
system_action = "retry_attempted"
return {
"decision": decision,
"confidence": confidence,
"summary": f"{summary} Reason: {reason}",
"system_action": system_action,
}
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