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fix: ensure genetic common settings available
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Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
Bobby Noelte
2025-10-30 13:26:17 +01:00
parent 6df2b8ba93
commit c911378bee
4 changed files with 53 additions and 12 deletions
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34
openapi.json
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@@ -2378,7 +2378,12 @@
"$ref": "#/components/schemas/OptimizationCommonSettings",
"default": {
"horizon_hours": 24,
"interval": 3600
"interval": 3600,
"algorithm": "GENETIC",
"genetic": {
"generations": 400,
"individuals": 300
}
}
},
"prediction": {
@@ -5713,6 +5718,22 @@
900
]
},
"algorithm": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Algorithm",
"description": "The optimization algorithm.",
"default": "GENETIC",
"examples": [
"GENETIC"
]
},
"genetic": {
"anyOf": [
{
@@ -5803,13 +5824,9 @@
"title": "Total Costs Amt",
"description": "The total costs [money amount]."
},
"prediction": {
"data": {
"$ref": "#/components/schemas/PydanticDateTimeDataFrame",
"description": "Datetime data frame with time series prediction data per optimization interval:- pv_energy_wh: PV energy prediction (positive) in wh- elec_price_amt_kwh: Electricity price prediction in money per kwh- feed_in_tariff_amt_kwh: Feed in tariff prediction in money per kwh- weather_temp_air_celcius: Temperature in \u00b0C- load_mean_energy_wh: Load mean energy prediction in wh- load_std_energy_wh: Load energy standard deviation prediction in wh- load_mean_adjusted_energy_w: Adjusted load mean energy prediction in wh"
},
"solution": {
"$ref": "#/components/schemas/PydanticDateTimeDataFrame",
"description": "Datetime data frame with time series solution data per optimization interval:- load_energy_wh: Load of all energy consumers in wh- grid_energy_wh: Grid energy feed in (negative) or consumption (positive) in wh- costs_amt: Costs in money amount- revenue_amt: Revenue in money amount- losses_energy_wh: Energy losses in wh- <device-id>_operation_mode_id: Operation mode id of the device.- <device-id>_operation_mode_factor: Operation mode factor of the device.- <device-id>_soc_factor: State of charge of a battery/ electric vehicle device as factor of total capacity.- <device-id>_energy_wh: Energy consumption (positive) of a device in wh."
"description": "Datetime data frame with time series optimization data per optimization interval:- load_energy_wh: Load of all energy consumers in wh- grid_energy_wh: Grid energy feed in (negative) or consumption (positive) in wh- pv_prediction_energy_wh: PV energy prediction (positive) in wh- elec_price_prediction_amt_kwh: Electricity price prediction in money per kwh- costs_amt: Costs in money amount- revenue_amt: Revenue in money amount- losses_energy_wh: Energy losses in wh- <device-id>_operation_mode_id: Operation mode id of the device.- <device-id>_operation_mode_factor: Operation mode factor of the device.- <device-id>_soc_factor: State of charge of a battery/ electric vehicle device as factor of total capacity.- <device-id>_energy_wh: Energy consumption (positive) of a device in wh."
}
},
"type": "object",
@@ -5819,8 +5836,7 @@
"total_losses_energy_wh",
"total_revenues_amt",
"total_costs_amt",
"prediction",
"solution"
"data"
],
"title": "OptimizationSolution",
"description": "General Optimization Solution."