fix(review): store non-finite evidence as null and count pending items

canonical_evidence now follows main's non-finite policy (#303): NaN and
±Infinity are written as null instead of raising, so a NaN-stamped graph
never turns a review item limited. The System Overview reports the review
queue's pending total in needs_review.pending, read in the same snapshot
as the Library counts.
This commit is contained in:
Vito Sansevero
2026-10-23 06:55:31 -07:00
parent 878612c22d
commit e6ed2914e1
8 changed files with 114 additions and 11 deletions
+5 -2
View File
@@ -637,7 +637,8 @@ class LibraryOperations:
pairs (every pair's positive is eligible). ``images`` counts indexed
``generated_images`` rows, not files on disk. An image has no rating
of its own (it shows its linked prompt's), so ``rated_images`` counts
the indexed images whose linked prompt is rated.
the indexed images whose linked prompt is rated. ``review_pending`` is
the Needs review queue's pending total.
"""
with self.library_snapshot() as (conn, _epoch, _ceiling):
row = conn.execute(
@@ -645,13 +646,15 @@ class LibraryOperations:
"(SELECT COUNT(*) FROM prompt_pairs WHERE archived=0),"
"(SELECT COUNT(*) FROM generated_images),"
"(SELECT COUNT(*) FROM generated_images gi JOIN prompts r "
"ON r.id=gi.prompt_id WHERE r.rating IS NOT NULL)"
"ON r.id=gi.prompt_id WHERE r.rating IS NOT NULL),"
"(SELECT COUNT(*) FROM media_review_items WHERE state='pending')"
).fetchone()
return {
"positive_prompts": row[0],
"negative_variants": row[1],
"images": row[2],
"rated_images": row[3],
"review_pending": row[4],
}
def usage_by_category(self) -> list[dict]:
+16 -2
View File
@@ -38,6 +38,11 @@ from .annotation_schema import TABLES as ANNOTATION_TABLES
from .annotation_schema import _catalog as _annotation_catalog
from .annotation_schema import annotation_schema_error
try:
from ..utils.json_strict import dumps_strict
except ImportError:
from utils.json_strict import dumps_strict
SCHEMA_VERSION = 1
METADATA_TABLE = "media_review_metadata"
ITEMS_TABLE = "media_review_items"
@@ -173,12 +178,21 @@ def canonical_evidence(value: Any) -> str:
"""Serialize one evidence object canonically; ``ValueError`` when invalid.
The text is a JSON object with sorted keys, no whitespace, ASCII only and
no NaN/infinity, at most ``MAX_EVIDENCE_BYTES`` bytes.
no NaN/infinity, at most ``MAX_EVIDENCE_BYTES`` bytes. A non-finite number
(ComfyUI stamps ``NaN`` into graphs) is written as ``null``, the store's
policy everywhere (``utils.json_strict.dumps_strict``).
"""
if not isinstance(value, dict):
raise ValueError("Review evidence must be a JSON object")
try:
text = _ENCODER.encode(value)
try:
text = _ENCODER.encode(value)
except ValueError as error:
if "Out of range float" not in str(error):
raise
text = dumps_strict(
value, sort_keys=True, separators=(",", ":"), ensure_ascii=True
)
except (TypeError, RecursionError) as error:
raise ValueError(f"Review evidence is not serializable: {error}") from None
if len(text) > MAX_EVIDENCE_BYTES: