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fix: use tolist() on numpy arrays in genetic parameter preparation (#1168)

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GeneticOptimizationParameters.prepare() calls .to_list() on the result of
prediction.key_to_array(), which returns a numpy ndarray. Numpy arrays only
provide .tolist(), so every call raised AttributeError, was swallowed by the
bare except and logged as a misleading 'No ... data available' message. As a
consequence every automatic energy management run was canceled with 'Could
not prepare optimisation parameters'.

Regression introduced in a0febef (#1155).

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
rockinglama
2026-07-20 07:26:47 +02:00
committed by GitHub
parent 152250d95e
commit 9a10a0d968
1 changed files with 5 additions and 5 deletions
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10
src/akkudoktoreos/optimization/genetic/geneticparams.py
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@@ -281,7 +281,7 @@ class GeneticOptimizationParameters(
interval=interval,
fill_method="linear",
)
pvforecast_ac_power = (array * power_to_energy_per_interval_factor).to_list()
pvforecast_ac_power = (array * power_to_energy_per_interval_factor).tolist()
except Exception as e:
logger.info(
"No PV forecast data available - defaulting to demo data. Parameter preparation attempt {}: {e}",
@@ -335,7 +335,7 @@ class GeneticOptimizationParameters(
interval=interval,
fill_method="ffill",
)
elecprice_marketprice_wh = array.to_list()
elecprice_marketprice_wh = array.tolist()
except Exception as e:
logger.info(
"No Electricity Marketprice forecast data available - defaulting to demo data. Parameter preparation attempt {}: {e}",
@@ -352,7 +352,7 @@ class GeneticOptimizationParameters(
interval=interval,
fill_method="ffill",
)
loadforecast_power_w = array.to_list()
loadforecast_power_w = array.tolist()
except Exception as e:
logger.info(
"No Load forecast data available - defaulting to demo data. Parameter preparation attempt {}: {e}",
@@ -378,7 +378,7 @@ class GeneticOptimizationParameters(
interval=interval,
fill_method="ffill",
)
feed_in_tariff_wh = array.to_list()
feed_in_tariff_wh = array.tolist()
except Exception as e:
logger.info(
"No feed in tariff forecast data available - defaulting to demo data. Parameter preparation attempt {}: {e}",
@@ -406,7 +406,7 @@ class GeneticOptimizationParameters(
interval=interval,
fill_method="ffill",
)
weather_temp_air = array.to_list()
weather_temp_air = array.tolist()
except Exception as e:
logger.info(
"No weather forecast data available - defaulting to demo data. Parameter preparation attempt {}: {e}",