Merge remote-tracking branch 'origin/main' into claude/frame-timing-harness

This commit is contained in:
Chuck
2026-09-24 17:36:48 -04:00
29 changed files with 1318 additions and 1152 deletions
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"""Putting a submitted plugin config's lists back into list shape.
A list reaches a plugin-config save keyed by position more often than as a
list. The settings form posts one field per element (``feeds.custom_feeds.0.name``),
which ``_set_nested_value`` stores as ``{"0": {"name": ...}}``, and the JSON
path's dotToNested() in the browser builds the same dict. Validation expects
an array there, so the save converts them first.
"""
from typing import Any, Dict
def _is_index_dict(value: Any) -> bool:
"""True for a dict keyed only by list positions ("0", "1", ...), or empty."""
return isinstance(value, dict) and all(str(k).isdigit() for k in value)
def coerce_array_shapes(config: Dict[str, Any], schema_props: Dict[str, Any],
short_lists_take_default: bool = False) -> None:
"""Turn position-keyed dicts into lists wherever the schema has an array.
Walks ``config`` alongside the schema's ``properties``, in place: into
nested objects, and into the objects of an array's items. An empty dict
where an array belongs becomes ``[]``.
``short_lists_take_default`` is for form posts. A form draws a fixed-length
list (an RGB colour, say) as one input per element, and a blanked input
drops out of the parsed list; the schema default then stands in, as long as
it is itself long enough, instead of the save failing on ``minItems``.
Element types are left alone: normalization after this converts numeric
strings to the numbers the schema asks for.
"""
if not isinstance(config, dict):
return
for key, prop_schema in schema_props.items():
if key not in config or not isinstance(prop_schema, dict):
continue
prop_type = prop_schema.get('type')
value = config[key]
if prop_type == 'array':
if _is_index_dict(value):
value = config[key] = [value[k] for k in sorted(value, key=lambda k: int(str(k)))]
if not isinstance(value, list):
continue
min_items = prop_schema.get('minItems')
default = prop_schema.get('default')
if (short_lists_take_default and min_items is not None
and len(value) < min_items
and isinstance(default, list) and len(default) >= min_items):
value = config[key] = list(default)
items_schema = prop_schema.get('items')
if (isinstance(items_schema, dict) and items_schema.get('type') == 'object'
and 'properties' in items_schema):
for element in value:
coerce_array_shapes(element, items_schema['properties'],
short_lists_take_default)
elif prop_type == 'object' and 'properties' in prop_schema:
coerce_array_shapes(value, prop_schema['properties'], short_lists_take_default)