Files
ThothII/harness/tht/vectorstore/rest_writer.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

91 lines
3.1 KiB
Python

"""Scrittura controllata del pgvector via REST.
Usata dalle postazioni remote solo quando e' configurata una seconda API key di scrittura.
Mantiene l'upsert incrementale del VectorStore diretto, ma non esegue delete/clear: le
operazioni distruttive restano solo-server via connessione Postgres diretta.
"""
from tht.vectorstore.records import VectorRecord
from tht.vectorstore.rest_client import VectorRestClient
from tht.vectorstore.store import SyncStats, content_hash
KIND_TO_TABLE = {
"schema_table": "schema_records",
"schema_column": "schema_records",
"evidence": "evidence",
"memory": "memory",
}
TABLE_TO_KINDS = {
"schema_records": {"schema_table", "schema_column"},
"evidence": {"evidence"},
"memory": {"memory"},
}
def pack_metadata(record: VectorRecord) -> dict:
"""Impacchetta nel metadata tutta la semantica letta poi da `search_similar`."""
return {
"kind": record.kind,
"ref": record.ref,
"record_key": record.id,
"title": record.title,
"content": record.content,
**record.metadata,
}
class RestVectorWriter:
"""Writer table-scoped via RPC REST allowlist.
Il metodo `sync` e' volutamente upsert-only: aggiorna/aggiunge record, conta gli stale,
ma non li elimina. Per cleanup completo usare i comandi server-side con `vector_db`.
"""
def __init__(self, client: VectorRestClient, table: str):
if table not in TABLE_TO_KINDS:
raise ValueError(f"Tabella vector non supportata per scrittura REST: {table}")
self.client = client
self.table = table
def existing_hashes(self, kinds: set[str]) -> dict[str, str]:
allowed = TABLE_TO_KINDS[self.table]
bad = kinds - allowed
if bad:
raise ValueError(
f"Kind non ammessi per vectors.{self.table}: {', '.join(sorted(bad))}"
)
return self.client.existing_hashes(self.table, sorted(kinds))
def sync(self, records: list[VectorRecord], embedder, kinds: set[str]) -> SyncStats:
stats = SyncStats()
existing = self.existing_hashes(kinds)
to_embed: list[VectorRecord] = []
for record in records:
h = content_hash(record.content)
if record.id not in existing:
to_embed.append(record)
stats.added += 1
elif existing[record.id] != h:
to_embed.append(record)
stats.updated += 1
else:
stats.unchanged += 1
stats.deleted = 0
vectors = embedder.embed_documents([r.content for r in to_embed]) if to_embed else []
rows = [
{
"record_key": record.id,
"kind": record.kind,
"content_hash": content_hash(record.content),
"metadata": pack_metadata(record),
"embedding": vector,
}
for record, vector in zip(to_embed, vectors)
]
if rows:
self.client.upsert_records(self.table, rows)
# Gli stale non vengono cancellati in REST writer: restano responsabilita' server-side.
return stats