[lvgl] Merge dict-extend chains to speed up schema construction (#16614)

This commit is contained in:
J. Nick Koston
2026-05-25 09:09:54 -05:00
committed by GitHub
parent 98e7213387
commit cde52ef75e
3 changed files with 319 additions and 21 deletions

View File

@@ -1,3 +1,4 @@
import functools
import importlib
from pathlib import Path
import pkgutil
@@ -79,7 +80,7 @@ from .schemas import (
WIDGET_TYPES,
any_widget_schema,
container_schema,
obj_schema,
obj_dict,
)
from .styles import styles_to_code, theme_to_code
from .touchscreens import touchscreen_schema, touchscreens_to_code
@@ -518,16 +519,32 @@ def add_hello_world(config):
return config
def _theme_schema(value):
@functools.cache
def _build_theme_schema(
widget_types: tuple[tuple[str, widgets.WidgetType], ...],
) -> cv.Schema:
# The theme schema is value-independent: it depends only on the set of
# registered widget types. Key the cache on a snapshot of WIDGET_TYPES so
# that an external component registering a new widget after the first
# validation (legal per any_widget_schema's lazy-evaluation contract)
# produces a fresh tuple, a cache miss, and a rebuilt schema -- the cache
# self-heals instead of stale-rejecting valid themes. See obj_dict() in
# schemas.py for why chained .extend() is avoided here.
return cv.Schema(
{
cv.Optional(df.CONF_DARK_MODE, default=False): cv.boolean,
**{
cv.Optional(name): obj_schema(w).extend(FULL_STYLE_SCHEMA)
for name, w in WIDGET_TYPES.items()
cv.Optional(name): cv.Schema(
{**obj_dict(w), **FULL_STYLE_SCHEMA.schema}
)
for name, w in widget_types
},
}
)(value)
)
def _theme_schema(value: dict) -> dict:
return _build_theme_schema(tuple(WIDGET_TYPES.items()))(value)
FINAL_VALIDATE_SCHEMA = final_validation

View File

@@ -378,15 +378,33 @@ TRIGGER_EVENT_MAP = {
}
def part_schema(parts):
def part_dict(parts: tuple[str, ...] | list[str]) -> dict[Any, Any]:
"""
Return the raw mapping used by part_schema, so callers can merge it into a
larger dict and avoid chained .extend() calls (each .extend() recompiles the
whole mapping, turning the build into O(N^2)).
Invariant: the source schemas spread here (STATE_SCHEMA, FLAG_SCHEMA, the
nested STATE_SCHEMA values) must use the default extra=PREVENT_EXTRA and
required=False and must not register any add_extra/prepend_extra
validators. Reaching into .schema and rebuilding via cv.Schema(...) keeps
only the mapping; non-default extra/required and any _extra_schemas would
be silently dropped.
"""
return {
**STATE_SCHEMA.schema,
**FLAG_SCHEMA.schema,
**{cv.Optional(part): STATE_SCHEMA for part in parts},
}
def part_schema(parts: tuple[str, ...] | list[str]) -> cv.Schema:
"""
Generate a schema for the various parts (e.g. main:, indicator:) of a widget type
:param parts: The parts to include
:return: The schema
"""
return STATE_SCHEMA.extend(FLAG_SCHEMA).extend(
{cv.Optional(part): STATE_SCHEMA for part in parts}
)
return cv.Schema(part_dict(parts))
def automation_schema(typ: LvType):
@@ -462,6 +480,43 @@ def base_update_schema(widget_type: WidgetType | LvType, parts):
return schema
# Memoize obj_dict() the same way _OBJ_SCHEMA_CACHE memoizes obj_schema().
# automation_schema(w.w_type) builds fresh Trigger.template(...) objects on
# every call, so without this cache _theme_schema pays that cost per widget
# per validation. Callers must treat the returned dict as immutable. The
# _theme_schema caller spreads it into a fresh dict, which is safe; the
# obj_schema caller passes it directly to cv.Schema(...) -- voluptuous stores
# the mapping by reference but never mutates it (.extend() copies first), so
# the alias is also safe today. Adding in-place mutation of obj_schema(w).schema
# would corrupt this cache.
_OBJ_DICT_CACHE: dict[int, tuple[WidgetType, dict[Any, Any]]] = {}
def obj_dict(widget_type: WidgetType) -> dict[Any, Any]:
"""
Return the raw mapping used by obj_schema, so callers can merge it into a
larger dict and avoid chained .extend() calls.
Inherits the same source-schema invariant documented on part_dict: any
schema spread into this mapping must use the default extra=PREVENT_EXTRA
and required=False and must carry no add_extra/prepend_extra validators.
The returned mapping is cached and must be treated as immutable by callers.
"""
cached = _OBJ_DICT_CACHE.get(id(widget_type))
if cached is not None and cached[0] is widget_type:
return cached[1]
built = {
**part_dict(widget_type.parts),
**ALIGN_TO_SCHEMA,
**automation_schema(widget_type.w_type),
cv.Optional(CONF_STATE): SET_STATE_SCHEMA,
cv.Optional(CONF_GROUP): cv.use_id(lv_group_t),
}
_OBJ_DICT_CACHE[id(widget_type)] = (widget_type, built)
return built
# Widget types are module-level singletons populated at import time, so we
# can cache compiled obj_schemas by widget_type identity for the lifetime of
# the process. The strong reference in the value keeps the key (an id()
@@ -469,7 +524,7 @@ def base_update_schema(widget_type: WidgetType | LvType, parts):
_OBJ_SCHEMA_CACHE: dict[int, tuple[WidgetType, cv.Schema]] = {}
def obj_schema(widget_type: WidgetType):
def obj_schema(widget_type: WidgetType) -> cv.Schema:
"""
Create a schema for a widget type itself i.e. no allowance for children
:param widget_type:
@@ -478,17 +533,7 @@ def obj_schema(widget_type: WidgetType):
cached = _OBJ_SCHEMA_CACHE.get(id(widget_type))
if cached is not None and cached[0] is widget_type:
return cached[1]
schema = (
part_schema(widget_type.parts)
.extend(ALIGN_TO_SCHEMA)
.extend(automation_schema(widget_type.w_type))
.extend(
{
cv.Optional(CONF_STATE): SET_STATE_SCHEMA,
cv.Optional(CONF_GROUP): cv.use_id(lv_group_t),
}
)
)
schema = cv.Schema(obj_dict(widget_type))
_OBJ_SCHEMA_CACHE[id(widget_type)] = (widget_type, schema)
return schema

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@@ -0,0 +1,236 @@
"""Tests for part_dict / obj_dict / part_schema / obj_schema mapping contracts.
These guard the dict-merge refactor: the dict helpers must keep returning the
same logical mapping as the chained-extend version produced, and the
corresponding Schema(...) wrappers must accept and reject the same configs.
"""
from __future__ import annotations
from collections.abc import Generator
import pytest
import voluptuous as vol
from esphome import config_validation as cv
import esphome.components.lvgl
from esphome.components.lvgl import (
_theme_schema,
defines as df,
schemas as lvgl_schemas,
)
from esphome.components.lvgl.schemas import (
ALIGN_TO_SCHEMA,
FLAG_SCHEMA,
FULL_STYLE_SCHEMA,
STATE_SCHEMA,
STYLE_SCHEMA,
WIDGET_TYPES,
automation_schema,
obj_dict,
obj_schema,
part_dict,
part_schema,
)
from esphome.components.lvgl.types import LvType
from esphome.components.lvgl.widgets import WidgetType
@pytest.fixture(autouse=True)
def _clear_obj_dict_cache() -> Generator[None]:
cache = getattr(lvgl_schemas, "_OBJ_DICT_CACHE", None)
if cache is not None:
cache.clear()
# The lazily-built theme schema is cached on _build_theme_schema; clear it
# too so each test starts from a clean slate.
build_theme = getattr(esphome.components.lvgl, "_build_theme_schema", None)
if build_theme is not None and hasattr(build_theme, "cache_clear"):
build_theme.cache_clear()
yield
if cache is not None:
cache.clear()
if build_theme is not None and hasattr(build_theme, "cache_clear"):
build_theme.cache_clear()
def _marker_names(mapping) -> set[str]:
"""Return the underlying string names of every voluptuous Marker key."""
names: set[str] = set()
for key in mapping:
if isinstance(key, vol.Marker):
schema = key.schema
if isinstance(schema, str):
names.add(schema)
return names
def _widget_type(name: str = "obj"):
wt = WIDGET_TYPES.get(name)
assert wt is not None, f"widget type {name!r} not registered"
return wt
def test_part_dict_includes_state_flag_and_part_keys() -> None:
parts = ("indicator", "knob")
keys = _marker_names(part_dict(parts))
assert {"indicator", "knob"} <= keys
assert _marker_names(STATE_SCHEMA.schema) <= keys
assert _marker_names(FLAG_SCHEMA.schema) <= keys
def test_obj_dict_extends_part_dict_with_align_automation_state_group() -> None:
wt = _widget_type("obj")
part_keys = _marker_names(part_dict(wt.parts))
obj_keys = _marker_names(obj_dict(wt))
assert part_keys <= obj_keys
assert _marker_names(ALIGN_TO_SCHEMA) <= obj_keys
assert _marker_names(automation_schema(wt.w_type)) <= obj_keys
assert {"state", "group"} <= obj_keys
def test_obj_dict_is_memoized_by_widget_type() -> None:
wt = _widget_type("obj")
first = obj_dict(wt)
second = obj_dict(wt)
assert first is second
# Different widget type, different dict.
assert obj_dict(_widget_type("label")) is not first
def test_part_schema_round_trips_known_state_and_part_settings() -> None:
schema = part_schema(("indicator",))
out = schema(
{
"bg_color": 0x112233,
"checked": {"bg_color": 0x445566},
"indicator": {"bg_color": 0x778899},
}
)
assert out["bg_color"] == 0x112233
assert out["checked"]["bg_color"] == 0x445566
assert out["indicator"]["bg_color"] == 0x778899
def test_part_schema_rejects_unknown_part() -> None:
schema = part_schema(("indicator",))
with pytest.raises(vol.Invalid):
schema({"definitely_not_a_part": {}})
@pytest.mark.parametrize("name", sorted(WIDGET_TYPES))
def test_obj_schema_accepts_empty_config_for_every_widget_type(name: str) -> None:
obj_schema(_widget_type(name))({})
def test_obj_schema_accepts_align_to_and_state_group() -> None:
schema = obj_schema(_widget_type("obj"))
out = schema(
{
df.CONF_ALIGN_TO: {
"id": "some_other_widget",
df.CONF_ALIGN: "TOP_LEFT",
},
"state": {"checked": True},
}
)
assert out[df.CONF_ALIGN_TO][df.CONF_ALIGN] == "LV_ALIGN_TOP_LEFT"
assert out["state"]["checked"] is True
def test_obj_schema_rejects_unknown_top_level_key() -> None:
with pytest.raises(vol.Invalid):
obj_schema(_widget_type("obj"))({"definitely_not_a_real_key": 1})
def test_part_schema_returns_cv_schema_for_extend_callers() -> None:
schema = part_schema(("indicator",))
extended = schema.extend({cv.Optional("extra_key"): cv.string})
out = extended({"extra_key": "value", "bg_color": 0xAABBCC})
assert out["extra_key"] == "value"
assert out["bg_color"] == 0xAABBCC
def test_obj_schema_returns_cv_schema_for_extend_callers() -> None:
schema = obj_schema(_widget_type("obj"))
extended = schema.extend({cv.Optional("extra_key"): cv.string})
extended({"extra_key": "value"})
@pytest.mark.parametrize(
"schema",
[STATE_SCHEMA, FLAG_SCHEMA, STYLE_SCHEMA, FULL_STYLE_SCHEMA],
)
def test_spread_sources_carry_no_extra_schemas(schema: cv.Schema) -> None:
# part_dict / obj_dict reach into .schema and rebuild via cv.Schema(...),
# which silently drops _extra_schemas and any non-default extra/required.
# Lock the invariant so a future add_extra() on these sources fails CI
# instead of quietly removing validation from part/obj/theme schemas.
assert not schema._extra_schemas
assert schema.extra is vol.PREVENT_EXTRA
assert schema.required is False
def test_theme_schema_merges_obj_dict_and_full_style_props() -> None:
# _theme_schema is the riskiest merge: obj_dict(w) and FULL_STYLE_SCHEMA.schema
# share many STYLE_SCHEMA marker instances. Exercise the merged schema
# end-to-end with one key from each side (a STATE_SCHEMA part from obj_dict
# and a FULL_STYLE-only property) to lock the behaviour against future
# regressions in either source.
out = _theme_schema(
{
df.CONF_DARK_MODE: True,
"obj": {
"bg_color": 0x112233,
"checked": {"bg_color": 0x445566},
df.CONF_PAD_ROW: 4,
df.CONF_GRID_CELL_X_ALIGN: "CENTER",
},
}
)
assert out[df.CONF_DARK_MODE] is True
obj_out = out["obj"]
assert obj_out["bg_color"] == 0x112233
assert obj_out["checked"]["bg_color"] == 0x445566
assert obj_out[df.CONF_PAD_ROW] == 4
assert obj_out[df.CONF_GRID_CELL_X_ALIGN] == "LV_GRID_ALIGN_CENTER"
def test_theme_schema_self_heals_when_a_widget_type_is_registered_later() -> None:
# _build_theme_schema is functools.cached on a snapshot of WIDGET_TYPES.
# any_widget_schema explicitly supports external components registering
# widgets lazily, and the device builder revalidates in-process, so a
# widget registered after first use must invalidate the cached snapshot.
_theme_schema({df.CONF_DARK_MODE: True}) # populate the cache
name = "test_self_heal_widget"
assert name not in WIDGET_TYPES
# is_mock=True skips registration side-effects; insert into WIDGET_TYPES
# manually so the next theme call sees the new entry.
WIDGET_TYPES[name] = WidgetType(name, LvType("test_fake_t"), (), is_mock=True)
try:
out = _theme_schema({df.CONF_DARK_MODE: False, name: {"bg_color": 0x010203}})
assert out[name]["bg_color"] == 0x010203
finally:
WIDGET_TYPES.pop(name, None)
@pytest.mark.parametrize(
"schema",
[STATE_SCHEMA, FLAG_SCHEMA, STYLE_SCHEMA, FULL_STYLE_SCHEMA],
)
def test_spread_sources_have_no_top_level_marker_defaults(schema: cv.Schema) -> None:
# _theme_schema merges obj_dict(w) with FULL_STYLE_SCHEMA.schema; on a key
# collision, dict-spread keeps the first source's marker (and its default)
# but the last source's value, whereas .extend() would take both from the
# later source. The two are equivalent today because the overlapping
# markers are the same instances (both derive from STYLE_SCHEMA) and none
# carry a top-level default. Lock that so a future divergent default would
# fail CI rather than silently drift the merged validation.
offenders = [
marker.schema
for marker in schema.schema
if isinstance(marker, vol.Optional) and marker.default is not vol.UNDEFINED
]
assert not offenders, f"top-level Optional with default: {offenders}"