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ComfyAssets-ComfyUI_PromptM…/database/review.py
T
Vito Sansevero f3366a13f8 feat(review): persist ambiguous sampler evidence from scans and new outputs
The output scan and the live monitor now queue every file the ingestion
resolver finds ambiguous for Needs review. The file is captured, its metadata
is read again from the capture and resolved with the default profile, and only
an ambiguous result is stored, bound to the capture's annotation byte record
and fenced by its storage epoch. Evidence holds one hashed projection per
selectable candidate; none, more than 16 or over 8 MiB is a limited item.
Recording is idempotent per bytes and evidence and never touches a decision.

Scan statuses, counters, outcome rows and legacy SSE events are unchanged; the
job scope gains review_items/review_errors and the log a Needs review line.
The monitor records after its fallback link, best effort.
2026-10-22 15:56:58 -07:00

158 lines
5.6 KiB
Python

"""Needs review items (#249): persist and read capture-bound ambiguous evidence.
An item is one ambiguous resolver result for one annotation byte record (the
whole-file SHA-256 of one physical file at one locator), keyed by
``(byte_id, resolver_version, evidence_hash)``. Recording is idempotent: the
same evidence for the same bytes is a duplicate and never touches an existing
item, its state, revision or decisions. Changed bytes are a new byte record
and therefore a new pending item; the old one stays.
Callers pass verified facts (the capture's digest, size and ``mtime_ns``);
nothing here reads the filesystem. Writes run in one ``_pair_transaction``
fenced by the storage epoch the capture was taken under.
"""
import json
import sqlite3
from typing import Iterator
from .annotation_schema import (
BYTES_TABLE,
FILES_TABLE,
METADATA_TABLE as ANNOTATION_METADATA_TABLE,
)
from .annotations import _new_id, _validate_locator, _validate_target
from .models import utc_now_iso
from .review_schema import (
ITEMS_TABLE,
MAX_CANDIDATES,
METADATA_TABLE,
canonical_evidence,
evidence_digest,
)
# Only this module's table constants are interpolated into the SQL below.
_INSERT_ITEM = (
f"INSERT OR IGNORE INTO {ITEMS_TABLE}(id,byte_id,resolver_version," # nosec B608
"evidence_hash,evidence,candidate_count,limited,state,revision,created_at,"
"updated_at) VALUES(?,?,?,?,?,?,?,'pending',0,?,?)"
)
_BUMP_REVIEW_INDEX = (
f"UPDATE {METADATA_TABLE} SET " # nosec B608
"review_index_revision=review_index_revision+1 WHERE singleton_id=1"
)
_REVIEW_INDEX = (
f"SELECT review_index_revision FROM {METADATA_TABLE} " # nosec B608
"WHERE singleton_id=1"
)
_BUMP_IMAGE_INDEX = (
f"UPDATE {ANNOTATION_METADATA_TABLE} SET " # nosec B608
"image_index_revision=image_index_revision+1 WHERE singleton_id=1"
)
_ITEMS_OF_LOCATOR = (
"SELECT i.id,i.byte_id,i.resolver_version,i.evidence_hash," # nosec B608
"i.evidence,i.candidate_count,i.limited,i.state,i.revision,i.created_at,"
f"i.updated_at,b.sha256 FROM {FILES_TABLE} f "
f"JOIN {BYTES_TABLE} b ON b.file_id=f.id "
f"JOIN {ITEMS_TABLE} i ON i.byte_id=b.id "
"WHERE f.locator=? ORDER BY i.created_at,i.id"
)
_ITEM_COLUMNS = (
"id",
"byte_id",
"resolver_version",
"evidence_hash",
"evidence",
"candidate_count",
"limited",
"state",
"revision",
"created_at",
"updated_at",
"sha256",
)
class ReviewOperations:
"""PromptDatabase mixin: insert and read Needs review items."""
def record_review_item(
self,
*,
locator: str,
sha256: str,
size: int,
mtime_ns: int,
epoch: str,
resolver_version: int,
evidence: dict,
candidate_count: int,
limited: bool,
) -> bool:
"""Store one ambiguous result for these exact bytes; True when new.
The byte record is created (or its verified fingerprint refreshed)
like an observe. Raises ``LibraryCommandError("storage-changed")`` when
the storage epoch is no longer ``epoch`` (a restore since the capture)
and ``ValueError`` for invalid facts or evidence.
"""
_validate_target(locator, sha256, size, mtime_ns)
if type(resolver_version) is not int or resolver_version < 1:
raise ValueError("resolver_version must be a positive integer")
if (
type(candidate_count) is not int
or not 0 <= candidate_count <= MAX_CANDIDATES
):
raise ValueError(f"candidate_count must be between 0 and {MAX_CANDIDATES}")
if not isinstance(limited, bool) or (limited and candidate_count):
raise ValueError("A limited item carries no candidates")
text = canonical_evidence(evidence)
evidence_hash = evidence_digest(text)
with self._pair_transaction() as conn:
self._library_epoch(conn, epoch)
now = utc_now_iso()
file_id = self._annotation_owner(conn, locator, now)
byte_id, _revision, created, moved = self._annotation_byte(
conn, file_id, sha256, size, mtime_ns, now
)
if created or moved:
conn.execute(_BUMP_IMAGE_INDEX)
cursor = conn.execute(
_INSERT_ITEM,
(
_new_id(),
byte_id,
resolver_version,
evidence_hash,
text,
candidate_count,
int(limited),
now,
now,
),
)
inserted = cursor.rowcount > 0
if inserted:
conn.execute(_BUMP_REVIEW_INDEX)
return inserted
def review_index_revision(self) -> int:
"""The queue's revision (moved by every queue change)."""
row = self.model.get_connection().execute(_REVIEW_INDEX).fetchone()
if row is None:
raise sqlite3.DatabaseError("Missing review queue metadata")
return row[0]
def review_items_for(self, locator: str) -> list:
"""Every item of the file at ``locator``, oldest first, evidence parsed."""
_validate_locator(locator)
return list(self._iter_review_items(locator))
def _iter_review_items(self, locator: str) -> Iterator[dict]:
conn = self.model.get_connection()
for row in conn.execute(_ITEMS_OF_LOCATOR, (locator,)):
item = dict(zip(_ITEM_COLUMNS, tuple(row)))
item["evidence"] = json.loads(item["evidence"])
item["limited"] = bool(item["limited"])
yield item