Files
ThothII/harness/tht/evidence/model.py
T
marcopan fc5fbe6b65 refactor(harness): renaming prodotto tht (Onda -1)
Thoth (tht) è il prodotto, PSD è il cliente. Nessun riferimento al contesto
clinico nel codice.

Rinomine:
- comando+package nsp→tht (dir nsp/→tht/, 46 import, pyproject entry point)
- gate nsp-gate.js→tht-gate.js (+ rewrite token, relayIfNspFails→relayIfThtFails)
- workspace chirone.{example,test}.yaml→tht.{example,test}.yaml (generici)
- env THOTH_→THT_ (19 var) + NSP_ stragglers (NSP_HARNESS_ROOT, NSP_SESSION)
- commenti/docstring chirone/psdwp3/policlinico neutralizzati ('the reference
  implementation', 'the DWH')

Aggiunto [tool.setuptools.packages.find] include=['tht*'] (necessario: l'auto-
discovery rompeva con tht/ + workspaces/ come top-level multipli).

.env operatore aggiornato in-place (prefissi THT_, valori preservati, gitignored).

Verifica: pytest 109 passed, npm test 14 pass, tht phase meta --json OK, zero
residui nsp/THOTH_/NSP_/chirone nel package.
2026-06-27 10:33:16 +02:00

63 lines
2.2 KiB
Python

from pathlib import Path
from typing import Literal
import yaml
from pydantic import BaseModel, ValidationError
class EvidenceError(Exception):
pass
class EvidenceDoc(BaseModel):
id: str
title: str
# tier e status sono opzionali: la sola presenza di un documento basta a
# vettorizzarlo, quindi l'autore ETL non e' obbligato a compilarli.
tier: Literal["structural", "concept"] = "structural"
status: Literal["auto", "draft", "reviewed"] = "reviewed"
sources: list[str] = []
tables: list[str] = []
concepts: list[str] = []
body: str = ""
path: Path | None = None # valorizzato al load, escluso dal dump
@classmethod
def parse(cls, text: str, path: Path | None = None) -> "EvidenceDoc":
if not text.startswith("---\n"):
raise EvidenceError(f"frontmatter mancante in {path or '<testo>'}")
try:
_, fm, body = text.split("---\n", 2)
except ValueError as e:
raise EvidenceError(f"frontmatter malformato in {path or '<testo>'}") from e
meta = yaml.safe_load(fm)
if not isinstance(meta, dict):
raise EvidenceError(f"frontmatter non valido in {path or '<testo>'}")
try:
return cls.model_validate({**meta, "body": body.strip("\n"), "path": path})
except ValidationError as e:
raise EvidenceError(f"evidence non valida in {path or '<testo>'}:\n{e}") from e
def dump(self) -> str:
meta = self.model_dump(exclude={"body", "path"}, mode="json")
fm = yaml.safe_dump(meta, sort_keys=False, allow_unicode=True)
return f"---\n{fm}---\n{self.body}\n"
def save(self, path: Path) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(self.dump())
self.path = path
def load_evidence_dir(root: Path) -> list[EvidenceDoc]:
"""Carica ricorsivamente tutte le evidence sotto `root`, preservando la
gerarchia per dominio. I file README (di sola navigazione) sono ignorati."""
docs: list[EvidenceDoc] = []
if not root.is_dir():
return docs
for f in sorted(root.rglob("*.md")):
if f.name.upper().startswith("README"):
continue
docs.append(EvidenceDoc.parse(f.read_text(), path=f))
return docs