60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
"""Evidence-specific projection into persisted session artifacts."""
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from pathlib import Path
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from typing import TYPE_CHECKING
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from tht.evidence.corpus.store import CorpusStore
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from tht.evidence.search import resolve_citation
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if TYPE_CHECKING:
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from tht.decisions import DecisionRecord
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from tht.session.models import SchemaLinking
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def _resolve_session_citation(evidence_root: Path, evidence_id: str) -> str:
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# New deployments resolve only immutable materialized files from ACTIVE. Keep the
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# curated-tree fallback for sessions created before a canonical corpus exists.
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corpus_root = evidence_root.parent.parent / "corpus"
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if corpus_root.exists():
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return resolve_citation(
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CorpusStore(corpus_root),
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evidence_id,
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materialized_root=evidence_root.parent / ".materialized-evidence",
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)
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for match in evidence_root.rglob(f"{evidence_id}.md"):
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return str(match)
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return ""
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def project_session(
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decisions: list["DecisionRecord"],
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linking: "SchemaLinking",
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evidence_root: Path,
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) -> list[dict]:
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"""Project cited and reviewed Evidence into the session artifact shape."""
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entries: dict[str, dict] = {}
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for candidate in linking.candidates:
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for evidence_id in candidate.evidence:
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entries.setdefault(
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evidence_id,
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{
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"id": evidence_id,
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"file": _resolve_session_citation(evidence_root, evidence_id),
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"esito": "usata",
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"decision_seq": candidate.decision_seq,
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},
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)
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for decision in decisions:
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if decision.type not in ("evidence_accepted", "evidence_rejected"):
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continue
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entries[decision.subject] = {
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"id": decision.subject,
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"file": _resolve_session_citation(evidence_root, decision.subject),
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"esito": "accettata" if decision.type == "evidence_accepted" else "scartata",
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"decision_seq": decision.seq,
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}
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return list(entries.values())
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__all__ = ["project_session"]
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