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restrict data for history array

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Normann 2025-01-07 18:37:43 +01:00 committed by Andreas
parent df54303284
commit ed8c6580ee
1 changed files with 8 additions and 2 deletions
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10
src/akkudoktoreos/prediction/elecpriceakkudoktor.py
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@ -183,12 +183,14 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
record.elecprice_marketprice_wh record.elecprice_marketprice_wh
for record in sorted(self.records, key=lambda r: r.date_time) for record in sorted(self.records, key=lambda r: r.date_time)
if record.elecprice_marketprice_wh is not None if record.elecprice_marketprice_wh is not None
and record.date_time
< highest_orig_datetime # make sure we only real data for the prediction, so cant be newer then data from the api.
] ]
) )
amount_datasets = len(self.records) amount_datasets = len(self.records)
assert highest_orig_datetime # mypy fix assert highest_orig_datetime # mypy fix
# Insert prediction into ElecPriceDataRecord
if amount_datasets > 800: if amount_datasets > 800:
prediction = self._predict_ets( prediction = self._predict_ets(
history, seasonal_periods=168, prediction_hours=7 * 24 history, seasonal_periods=168, prediction_hours=7 * 24
@ -197,10 +199,14 @@ class ElecPriceAkkudoktor(ElecPriceProvider):
prediction = self._predict_ets( prediction = self._predict_ets(
history, seasonal_periods=24, prediction_hours=7 * 24 history, seasonal_periods=24, prediction_hours=7 * 24
) # todo: add config values for prediction_hours ) # todo: add config values for prediction_hours
elif amount_datasets > 0: elif (
amount_datasets > 0
): # TODO might be a problem if amount_datasets is really low and we do the _cap_outliers.
prediction = self._predict_median(history, prediction_hours=7 * 24) prediction = self._predict_median(history, prediction_hours=7 * 24)
else: else:
assert False, "No data available" assert False, "No data available"
# write predictions into the records, update if exist.
for i, price in enumerate(prediction): for i, price in enumerate(prediction):
pred_datetime = highest_orig_datetime + to_duration(f"{i + 1} hours") pred_datetime = highest_orig_datetime + to_duration(f"{i + 1} hours")
existing_record = next((r for r in self.records if r.date_time == pred_datetime), None) existing_record = next((r for r in self.records if r.date_time == pred_datetime), None)