55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
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from __future__ import annotations
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import hashlib
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from app.agents.schemas.learning import PatternCandidate, SkillCandidate
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class SkillCandidateBuilder:
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def build(self, patterns: list[PatternCandidate]) -> list[SkillCandidate]:
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candidates: list[SkillCandidate] = []
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for pattern in patterns:
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if pattern.confidence < 0.55:
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continue
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name = self._build_name(pattern)
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candidates.append(
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SkillCandidate(
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candidate_id=f"candidate-{self._stable_suffix(pattern)}",
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name=name,
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summary=pattern.description,
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candidate_type=self._map_candidate_type(pattern.pattern_type),
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source_pattern_ids=[pattern.pattern_id],
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confidence=pattern.confidence,
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evidence_refs=pattern.evidence_refs[:4],
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recommended_status="candidate",
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)
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)
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return candidates
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@staticmethod
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def _build_name(pattern: PatternCandidate) -> str:
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prefix = {
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"workflow": "workflow",
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"decomposition": "decomposition",
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"preference": "preference",
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}.get(pattern.pattern_type, "learned")
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stable_suffix = SkillCandidateBuilder._stable_suffix(pattern)
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return f"{prefix}-{stable_suffix}"
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@staticmethod
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def _map_candidate_type(pattern_type: str) -> str:
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mapping = {
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"workflow": "workflow_skill",
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"decomposition": "decomposition_skill",
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"preference": "preference_skill",
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}
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return mapping.get(pattern_type, "workflow_skill")
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@staticmethod
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def _stable_suffix(pattern: PatternCandidate) -> str:
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raw = f"{pattern.pattern_type}:{pattern.description}".encode("utf-8")
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return hashlib.sha1(raw).hexdigest()[:10]
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