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Code Issues Releases Wiki Activity

tweak

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This commit is contained in:
J. Nick Koston
2025-10-15 19:23:01 -10:00
parent e3089ff0f6
commit a72c494b75
1 changed files with 20 additions and 48 deletions
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68
esphome/components/sensor/__init__.py
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@@ -453,8 +453,12 @@ async def skip_initial_filter_to_code(config, filter_id):
return cg.new_Pvariable(filter_id, config)
@FILTER_REGISTRY.register("min", MinFilter, MIN_SCHEMA)
async def min_filter_to_code(config, filter_id):
def _create_sliding_window_filter(config, filter_id, sliding_class, streaming_class):
"""Helper to create sliding window or streaming filter based on config.
When window_size == send_every, use streaming filter (O(1) memory).
Otherwise, use sliding window filter (O(n) memory).
"""
window_size = config[CONF_WINDOW_SIZE]
send_every = config[CONF_SEND_EVERY]
send_first_at = config[CONF_SEND_FIRST_AT]
@@ -462,17 +466,14 @@ async def min_filter_to_code(config, filter_id):
# Optimization: Use streaming filter for batch windows (window_size == send_every)
# Saves 99.98% memory for large windows (e.g., 20KB → 4 bytes for window_size=5000)
if window_size == send_every:
return cg.new_Pvariable(
filter_id,
StreamingMinFilter,
window_size,
send_first_at,
)
return cg.new_Pvariable(
filter_id,
config[CONF_WINDOW_SIZE],
config[CONF_SEND_EVERY],
config[CONF_SEND_FIRST_AT],
return cg.new_Pvariable(filter_id, streaming_class, window_size, send_first_at)
return cg.new_Pvariable(filter_id, window_size, send_every, send_first_at)
@FILTER_REGISTRY.register("min", MinFilter, MIN_SCHEMA)
async def min_filter_to_code(config, filter_id):
return _create_sliding_window_filter(
config, filter_id, MinFilter, StreamingMinFilter
)
@@ -490,24 +491,8 @@ MAX_SCHEMA = cv.All(
@FILTER_REGISTRY.register("max", MaxFilter, MAX_SCHEMA)
async def max_filter_to_code(config, filter_id):
window_size = config[CONF_WINDOW_SIZE]
send_every = config[CONF_SEND_EVERY]
send_first_at = config[CONF_SEND_FIRST_AT]
# Optimization: Use streaming filter for batch windows (window_size == send_every)
# Saves 99.98% memory for large windows (e.g., 20KB → 4 bytes for window_size=5000)
if window_size == send_every:
return cg.new_Pvariable(
filter_id,
StreamingMaxFilter,
window_size,
send_first_at,
)
return cg.new_Pvariable(
filter_id,
config[CONF_WINDOW_SIZE],
config[CONF_SEND_EVERY],
config[CONF_SEND_FIRST_AT],
return _create_sliding_window_filter(
config, filter_id, MaxFilter, StreamingMaxFilter
)
@@ -529,24 +514,11 @@ SLIDING_AVERAGE_SCHEMA = cv.All(
SLIDING_AVERAGE_SCHEMA,
)
async def sliding_window_moving_average_filter_to_code(config, filter_id):
window_size = config[CONF_WINDOW_SIZE]
send_every = config[CONF_SEND_EVERY]
send_first_at = config[CONF_SEND_FIRST_AT]
# Optimization: Use streaming filter for batch windows (window_size == send_every)
# Saves 99.94% memory for large windows (e.g., 20KB → 12 bytes for window_size=5000)
if window_size == send_every:
return cg.new_Pvariable(
filter_id,
StreamingMovingAverageFilter,
window_size,
send_first_at,
)
return cg.new_Pvariable(
return _create_sliding_window_filter(
config,
filter_id,
config[CONF_WINDOW_SIZE],
config[CONF_SEND_EVERY],
config[CONF_SEND_FIRST_AT],
SlidingWindowMovingAverageFilter,
StreamingMovingAverageFilter,
)