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Fix gesamtlast_simple (#399)

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Legacy endpoint gesamtlast_simple expected yearly energy consumption to be given in Wh SI units.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
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Bobby Noelte 2025-01-21 16:56:42 +01:00 committed by GitHub
parent e781d1d446
commit 43ebbc2e55
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3 changed files with 8 additions and 2 deletions
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3
docs/_generated/openapi.md
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@ -59,6 +59,9 @@ Total load prediction starts at 00.00.00 today and is provided for 48 hours.
If no prediction values are available the missing ones at the start of the series are
filled with the first available prediction value.
Args:
year_energy (float): Yearly energy consumption in Wh.
Note:
Set LoadAkkudoktor as load_provider, then update data with
'/v1/prediction/update'

2
openapi.json
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@ -3806,7 +3806,7 @@
"/gesamtlast_simple": {
"get": {
"summary": "Fastapi Gesamtlast Simple",
"description": "Deprecated: Total Load Prediction.\n\nEndpoint to handle total load prediction.\n\nTotal load prediction starts at 00.00.00 today and is provided for 48 hours.\nIf no prediction values are available the missing ones at the start of the series are\nfilled with the first available prediction value.\n\nNote:\n Set LoadAkkudoktor as load_provider, then update data with\n '/v1/prediction/update'\n and then request data with\n '/v1/prediction/list?key=load_mean' instead.",
"description": "Deprecated: Total Load Prediction.\n\nEndpoint to handle total load prediction.\n\nTotal load prediction starts at 00.00.00 today and is provided for 48 hours.\nIf no prediction values are available the missing ones at the start of the series are\nfilled with the first available prediction value.\n\nArgs:\n year_energy (float): Yearly energy consumption in Wh.\n\nNote:\n Set LoadAkkudoktor as load_provider, then update data with\n '/v1/prediction/update'\n and then request data with\n '/v1/prediction/list?key=load_mean' instead.",
"operationId": "fastapi_gesamtlast_simple_gesamtlast_simple_get",
"parameters": [
{

5
src/akkudoktoreos/server/eos.py
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@ -661,6 +661,9 @@ def fastapi_gesamtlast_simple(year_energy: float) -> list[float]:
If no prediction values are available the missing ones at the start of the series are
filled with the first available prediction value.
Args:
year_energy (float): Yearly energy consumption in Wh.
Note:
Set LoadAkkudoktor as load_provider, then update data with
'/v1/prediction/update'
@ -669,7 +672,7 @@ def fastapi_gesamtlast_simple(year_energy: float) -> list[float]:
"""
settings = SettingsEOS(
load_provider="LoadAkkudoktor",
loadakkudoktor_year_energy=year_energy,
loadakkudoktor_year_energy=year_energy / 1000, # Convert to kWh
)
config_eos.merge_settings(settings=settings)
ems_eos.set_start_datetime() # Set energy management start datetime to current hour.