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EOS/docs/_generated/configdevices.md
Bobby Noelte cf477d91a3
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feat: add fixed electricity prediction with time window support (#930) 
Add a fixed electricity prediction that supports prices per time window.
The time windows may flexible be defined by day or date.

The prediction documentation is updated to also cover the ElecPriceFixed
provider.

The feature includes several changes that are not directly related to the
electricity price prediction implementation but are necessary to keep
EOS running properly and to test and document the changes.

* feat: add value time windows

    Add time windows with an associated float value.

* feat: harden eos measurements endpoints error detection and reporting

    Cover more errors that may be raised during endpoint access. Report the
    errors including trace information to ease debugging.

* feat: extend server configuration to cover all arguments

    Make the argument controlled options also available in server configuration.

* fix: eos config configuration by cli arguments

    Move the command line argument handling to config eos so that it is
    excuted whenever eos config is rebuild or reset.

* chore: extend measurement endpoint system test

* chore: refactor time windows

    Move time windows to configabc as they are only used in configurations.
    Also move all tests to test_configabc.

* chore: provide config update errors in eosdash with summarized error text

    If there is an update error provide the error text as a summary. On click
    provide the full error text.

* chore: force eosdash ip address and port in makefile dev run

    Ensure eosdash ip address and port are correctly set for development runs.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2026-03-11 17:18:45 +01:00

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## Base configuration for devices simulation settings
<!-- pyml disable line-length -->
:::{table} devices
:widths: 10 20 10 5 5 30
:align: left
| Name | Environment Variable | Type | Read-Only | Default | Description |
| ---- | -------------------- | ---- | --------- | ------- | ----------- |
| batteries | `EOS_DEVICES__BATTERIES` | `Optional[list[akkudoktoreos.devices.devices.BatteriesCommonSettings]]` | `rw` | `None` | List of battery devices |
| electric_vehicles | `EOS_DEVICES__ELECTRIC_VEHICLES` | `Optional[list[akkudoktoreos.devices.devices.BatteriesCommonSettings]]` | `rw` | `None` | List of electric vehicle devices |
| home_appliances | `EOS_DEVICES__HOME_APPLIANCES` | `Optional[list[akkudoktoreos.devices.devices.HomeApplianceCommonSettings]]` | `rw` | `None` | List of home appliances |
| inverters | `EOS_DEVICES__INVERTERS` | `Optional[list[akkudoktoreos.devices.devices.InverterCommonSettings]]` | `rw` | `None` | List of inverters |
| max_batteries | `EOS_DEVICES__MAX_BATTERIES` | `Optional[int]` | `rw` | `None` | Maximum number of batteries that can be set |
| max_electric_vehicles | `EOS_DEVICES__MAX_ELECTRIC_VEHICLES` | `Optional[int]` | `rw` | `None` | Maximum number of electric vehicles that can be set |
| max_home_appliances | `EOS_DEVICES__MAX_HOME_APPLIANCES` | `Optional[int]` | `rw` | `None` | Maximum number of home_appliances that can be set |
| max_inverters | `EOS_DEVICES__MAX_INVERTERS` | `Optional[int]` | `rw` | `None` | Maximum number of inverters that can be set |
| measurement_keys | | `Optional[list[str]]` | `ro` | `N/A` | Return the measurement keys for the resource/ device stati that are measurements. |
:::
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Input**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100
}
],
"max_batteries": 1,
"electric_vehicles": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100
}
],
"max_electric_vehicles": 1,
"inverters": [],
"max_inverters": 1,
"home_appliances": [],
"max_home_appliances": 1
}
}
```
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Output**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "battery1-soc-factor",
"measurement_key_power_l1_w": "battery1-power-l1-w",
"measurement_key_power_l2_w": "battery1-power-l2-w",
"measurement_key_power_l3_w": "battery1-power-l3-w",
"measurement_key_power_3_phase_sym_w": "battery1-power-3-phase-sym-w",
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
],
"max_batteries": 1,
"electric_vehicles": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "battery1-soc-factor",
"measurement_key_power_l1_w": "battery1-power-l1-w",
"measurement_key_power_l2_w": "battery1-power-l2-w",
"measurement_key_power_l3_w": "battery1-power-l3-w",
"measurement_key_power_3_phase_sym_w": "battery1-power-3-phase-sym-w",
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
],
"max_electric_vehicles": 1,
"inverters": [],
"max_inverters": 1,
"home_appliances": [],
"max_home_appliances": 1,
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w",
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
}
```
<!-- pyml enable line-length -->
### Inverter devices base settings
<!-- pyml disable line-length -->
:::{table} devices::inverters::list
:widths: 10 10 5 5 30
:align: left
| Name | Type | Read-Only | Default | Description |
| ---- | ---- | --------- | ------- | ----------- |
| ac_to_dc_efficiency | `float` | `rw` | `1.0` | Efficiency of AC to DC conversion for grid-to-battery AC charging (0-1). Set to 0 to disable AC charging. Default 1.0 (no additional inverter loss). |
| battery_id | `Optional[str]` | `rw` | `None` | ID of battery controlled by this inverter. |
| dc_to_ac_efficiency | `float` | `rw` | `1.0` | Efficiency of DC to AC conversion for battery discharging to AC load/grid (0-1). Default 1.0 (no additional inverter loss). |
| device_id | `str` | `rw` | `<unknown>` | ID of device |
| max_ac_charge_power_w | `Optional[float]` | `rw` | `None` | Maximum AC charging power in watts. null means no additional limit. Set to 0 to disable AC charging. |
| max_power_w | `Optional[float]` | `rw` | `None` | Maximum power [W]. |
| measurement_keys | `Optional[list[str]]` | `ro` | `N/A` | Measurement keys for the inverter stati that are measurements. |
:::
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Input**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"inverters": [
{
"device_id": "battery1",
"max_power_w": 10000.0,
"battery_id": null,
"ac_to_dc_efficiency": 0.95,
"dc_to_ac_efficiency": 0.95,
"max_ac_charge_power_w": null
}
]
}
}
```
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Output**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"inverters": [
{
"device_id": "battery1",
"max_power_w": 10000.0,
"battery_id": null,
"ac_to_dc_efficiency": 0.95,
"dc_to_ac_efficiency": 0.95,
"max_ac_charge_power_w": null,
"measurement_keys": []
}
]
}
}
```
<!-- pyml enable line-length -->
### Model defining a daily or date time window with optional localization support
Represents a time interval starting at `start_time` and lasting for `duration`.
Can restrict applicability to a specific day of the week or a specific calendar date.
Supports day names in multiple languages via locale-aware parsing.
Timezone contract:
``start_time`` is always **naive** (no ``tzinfo``). It is interpreted as a
local wall-clock time in whatever timezone the caller's ``date_time`` or
``reference_date`` carries. When those arguments are timezone-aware the
window boundaries are evaluated in that timezone; when they are naive,
arithmetic is performed as-is (no timezone conversion occurs).
``date``, being a calendar ``Date`` object, is inherently timezone-free.
This design avoids the ambiguity that arises when a stored ``start_time``
carries its own timezone that differs from the caller's timezone, and keeps
the model serialisable without timezone state.
<!-- pyml disable line-length -->
:::{table} devices::home_appliances::list::time_windows::windows::list
:widths: 10 10 5 5 30
:align: left
| Name | Type | Read-Only | Default | Description |
| ---- | ---- | --------- | ------- | ----------- |
| date | `Optional[pydantic_extra_types.pendulum_dt.Date]` | `rw` | `None` | Optional specific calendar date for the time window. Naive — matched against the local date of the datetime passed to contains(). Overrides `day_of_week` if set. |
| day_of_week | `Union[int, str, NoneType]` | `rw` | `None` | Optional day of the week restriction. Can be specified as integer (0=Monday to 6=Sunday) or localized weekday name. If None, applies every day unless `date` is set. |
| duration | `Duration` | `rw` | `required` | Duration of the time window starting from `start_time`. |
| locale | `Optional[str]` | `rw` | `None` | Locale used to parse weekday names in `day_of_week` when given as string. If not set, Pendulum's default locale is used. Examples: 'en', 'de', 'fr', etc. |
| start_time | `Time` | `rw` | `required` | Naive start time of the time window (time of day, no timezone). Interpreted in the timezone of the datetime passed to contains() or earliest_start_time(). |
:::
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Input/Output**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"home_appliances": [
{
"time_windows": {
"windows": [
{
"start_time": "00:00:00.000000",
"duration": "2 hours",
"day_of_week": null,
"date": null,
"locale": null
}
]
}
}
]
}
}
```
<!-- pyml enable line-length -->
### Model representing a sequence of time windows with collective operations
Manages multiple TimeWindow objects and provides methods to work with them
as a cohesive unit for scheduling and availability checking.
<!-- pyml disable line-length -->
:::{table} devices::home_appliances::list::time_windows
:widths: 10 10 5 5 30
:align: left
| Name | Type | Read-Only | Default | Description |
| ---- | ---- | --------- | ------- | ----------- |
| windows | `list[akkudoktoreos.config.configabc.TimeWindow]` | `rw` | `required` | List of TimeWindow objects that make up this sequence. |
:::
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Input/Output**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"home_appliances": [
{
"time_windows": {
"windows": []
}
}
]
}
}
```
<!-- pyml enable line-length -->
### Home Appliance devices base settings
<!-- pyml disable line-length -->
:::{table} devices::home_appliances::list
:widths: 10 10 5 5 30
:align: left
| Name | Type | Read-Only | Default | Description |
| ---- | ---- | --------- | ------- | ----------- |
| consumption_wh | `int` | `rw` | `required` | Energy consumption [Wh]. |
| device_id | `str` | `rw` | `<unknown>` | ID of device |
| duration_h | `int` | `rw` | `required` | Usage duration in hours [0 ... 24]. |
| measurement_keys | `Optional[list[str]]` | `ro` | `N/A` | Measurement keys for the home appliance stati that are measurements. |
| time_windows | `Optional[akkudoktoreos.config.configabc.TimeWindowSequence]` | `rw` | `None` | Sequence of allowed time windows. Defaults to optimization general time window. |
:::
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Input**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"home_appliances": [
{
"device_id": "battery1",
"consumption_wh": 2000,
"duration_h": 1,
"time_windows": {
"windows": [
{
"start_time": "10:00:00.000000",
"duration": "2 hours",
"day_of_week": null,
"date": null,
"locale": null
}
]
}
}
]
}
}
```
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Output**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"home_appliances": [
{
"device_id": "battery1",
"consumption_wh": 2000,
"duration_h": 1,
"time_windows": {
"windows": [
{
"start_time": "10:00:00.000000",
"duration": "2 hours",
"day_of_week": null,
"date": null,
"locale": null
}
]
},
"measurement_keys": []
}
]
}
}
```
<!-- pyml enable line-length -->
### Battery devices base settings
<!-- pyml disable line-length -->
:::{table} devices::batteries::list
:widths: 10 10 5 5 30
:align: left
| Name | Type | Read-Only | Default | Description |
| ---- | ---- | --------- | ------- | ----------- |
| capacity_wh | `int` | `rw` | `8000` | Capacity [Wh]. |
| charge_rates | `Optional[list[float]]` | `rw` | `[0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]` | Charge rates as factor of maximum charging power [0.00 ... 1.00]. None triggers fallback to default charge-rates. |
| charging_efficiency | `float` | `rw` | `0.88` | Charging efficiency [0.01 ... 1.00]. |
| device_id | `str` | `rw` | `<unknown>` | ID of device |
| discharging_efficiency | `float` | `rw` | `0.88` | Discharge efficiency [0.01 ... 1.00]. |
| levelized_cost_of_storage_kwh | `float` | `rw` | `0.0` | Levelized cost of storage (LCOS), the average lifetime cost of delivering one kWh [€/kWh]. |
| max_charge_power_w | `Optional[float]` | `rw` | `5000` | Maximum charging power [W]. |
| max_soc_percentage | `int` | `rw` | `100` | Maximum state of charge (SOC) as percentage of capacity [%]. |
| measurement_key_power_3_phase_sym_w | `str` | `ro` | `N/A` | Measurement key for the symmetric 3 phase power the battery is charged or discharged with [W]. |
| measurement_key_power_l1_w | `str` | `ro` | `N/A` | Measurement key for the L1 power the battery is charged or discharged with [W]. |
| measurement_key_power_l2_w | `str` | `ro` | `N/A` | Measurement key for the L2 power the battery is charged or discharged with [W]. |
| measurement_key_power_l3_w | `str` | `ro` | `N/A` | Measurement key for the L3 power the battery is charged or discharged with [W]. |
| measurement_key_soc_factor | `str` | `ro` | `N/A` | Measurement key for the battery state of charge (SoC) as factor of total capacity [0.0 ... 1.0]. |
| measurement_keys | `Optional[list[str]]` | `ro` | `N/A` | Measurement keys for the battery stati that are measurements. |
| min_charge_power_w | `Optional[float]` | `rw` | `50` | Minimum charging power [W]. |
| min_soc_percentage | `int` | `rw` | `0` | Minimum state of charge (SOC) as percentage of capacity [%]. This is the target SoC for charging |
:::
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Input**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.12,
"max_charge_power_w": 5000.0,
"min_charge_power_w": 50.0,
"charge_rates": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"min_soc_percentage": 10,
"max_soc_percentage": 100
}
]
}
}
```
<!-- pyml enable line-length -->
<!-- pyml disable no-emphasis-as-heading -->
**Example Output**
<!-- pyml enable no-emphasis-as-heading -->
<!-- pyml disable line-length -->
```json
{
"devices": {
"batteries": [
{
"device_id": "battery1",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_kwh": 0.12,
"max_charge_power_w": 5000.0,
"min_charge_power_w": 50.0,
"charge_rates": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"min_soc_percentage": 10,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "battery1-soc-factor",
"measurement_key_power_l1_w": "battery1-power-l1-w",
"measurement_key_power_l2_w": "battery1-power-l2-w",
"measurement_key_power_l3_w": "battery1-power-l3-w",
"measurement_key_power_3_phase_sym_w": "battery1-power-3-phase-sym-w",
"measurement_keys": [
"battery1-soc-factor",
"battery1-power-l1-w",
"battery1-power-l2-w",
"battery1-power-l3-w",
"battery1-power-3-phase-sym-w"
]
}
]
}
}
```
<!-- pyml enable line-length -->
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