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>

src/akkudoktoreos/prediction/elecprice.py

@@ -8,6 +8,7 @@ from akkudoktoreos.prediction.elecpriceabc import ElecPriceProvider
 from akkudoktoreos.prediction.elecpriceenergycharts import (
     ElecPriceEnergyChartsCommonSettings,
 )
+from akkudoktoreos.prediction.elecpricefixed import ElecPriceFixedCommonSettings
 from akkudoktoreos.prediction.elecpriceimport import ElecPriceImportCommonSettings
 
 
@@ -37,6 +38,7 @@ class ElecPriceCommonSettings(SettingsBaseModel):
             "examples": ["ElecPriceAkkudoktor"],
         },
     )
+
     charges_kwh: Optional[float] = Field(
         default=None,
         ge=0,
@@ -45,6 +47,7 @@ class ElecPriceCommonSettings(SettingsBaseModel):
             "examples": [0.21],
         },
     )
+
     vat_rate: Optional[float] = Field(
         default=1.19,
         ge=0,
@@ -54,6 +57,11 @@ class ElecPriceCommonSettings(SettingsBaseModel):
         },
     )
 
+    elecpricefixed: ElecPriceFixedCommonSettings = Field(
+        default_factory=ElecPriceFixedCommonSettings,
+        json_schema_extra={"description": "Fixed electricity price provider settings."},
+    )
+
     elecpriceimport: ElecPriceImportCommonSettings = Field(
         default_factory=ElecPriceImportCommonSettings,
         json_schema_extra={"description": "Import provider settings."},

src/akkudoktoreos/prediction/elecpricefixed.py

@@ -0,0 +1,111 @@
+"""Provides fixed price electricity price data."""
+
+from typing import Optional
+
+from loguru import logger
+from pydantic import Field
+
+from akkudoktoreos.config.configabc import (
+    SettingsBaseModel,
+    ValueTimeWindowSequence,
+)
+from akkudoktoreos.prediction.elecpriceabc import ElecPriceProvider
+from akkudoktoreos.utils.datetimeutil import to_duration
+
+
+class ElecPriceFixedCommonSettings(SettingsBaseModel):
+    """Common configuration settings for fixed electricity pricing.
+
+    This model defines a fixed electricity price schedule using a sequence
+    of time windows. Each window specifies a time interval and the electricity
+    price applicable during that interval.
+    """
+
+    time_windows: ValueTimeWindowSequence = Field(
+        default_factory=ValueTimeWindowSequence,
+        json_schema_extra={
+            "description": (
+                "Sequence of time windows defining the fixed "
+                "price schedule. If not provided, no fixed pricing is applied."
+            ),
+            "examples": [
+                {
+                    "windows": [
+                        {"start_time": "00:00", "duration": "8 hours", "value": 0.288},
+                        {"start_time": "08:00", "duration": "16 hours", "value": 0.34},
+                    ],
+                }
+            ],
+        },
+    )
+
+
+class ElecPriceFixed(ElecPriceProvider):
+    """Fixed price electricity price data.
+
+    ElecPriceFixed is a singleton-based class that retrieves electricity price data
+    from a fixed schedule defined by time windows.
+
+    The provider generates hourly electricity prices based on the configured time windows.
+    For each hour in the forecast period, it determines which time window applies and
+    assigns the corresponding price.
+
+    Attributes:
+        time_windows: Sequence of time windows with associated electricity prices.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the ElecPriceFixed provider."""
+        return "ElecPriceFixed"
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Update electricity price data from fixed schedule.
+
+        Generates electricity prices based on the configured time windows
+        at the optimization interval granularity. The price sequence starts
+        synchronized to the wall clock at the next full interval boundary.
+
+        Args:
+            force_update: If True, forces update even if data exists.
+
+        Raises:
+            ValueError: If no time windows are configured.
+        """
+        time_windows_seq = self.config.elecprice.elecpricefixed.time_windows
+
+        if time_windows_seq is None or not time_windows_seq.windows:
+            error_msg = "No time windows configured for fixed electricity price"
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        start_datetime = self.ems_start_datetime
+        interval_seconds = self.config.optimization.interval
+        total_hours = self.config.prediction.hours
+        interval = to_duration(interval_seconds)
+
+        end_datetime = start_datetime.add(hours=total_hours)
+
+        logger.debug(
+            f"Generating fixed electricity prices for {total_hours} hours "
+            f"starting at {start_datetime}"
+        )
+
+        # Build the full price array in one call — kWh values aligned to the
+        # optimization grid.  to_array mirrors the key_to_array signature so
+        # the grid is constructed identically to how prediction data is read.
+        prices_kwh = time_windows_seq.to_array(
+            start_datetime=start_datetime,
+            end_datetime=end_datetime,
+            interval=interval,
+            dropna=True,
+            boundary="context",
+            align_to_interval=True,
+        )
+
+        # Convert kWh → Wh and store one entry per interval step.
+        for idx, price_kwh in enumerate(prices_kwh):
+            current_dt = start_datetime.add(seconds=idx * interval_seconds)
+            self.update_value(current_dt, "elecprice_marketprice_wh", price_kwh / 1000.0)
+
+        logger.debug(f"Successfully generated {len(prices_kwh)} fixed electricity price entries")

src/akkudoktoreos/prediction/prediction.py

@@ -33,6 +33,7 @@ from pydantic import Field
 from akkudoktoreos.config.configabc import SettingsBaseModel
 from akkudoktoreos.prediction.elecpriceakkudoktor import ElecPriceAkkudoktor
 from akkudoktoreos.prediction.elecpriceenergycharts import ElecPriceEnergyCharts
+from akkudoktoreos.prediction.elecpricefixed import ElecPriceFixed
 from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
 from akkudoktoreos.prediction.feedintarifffixed import FeedInTariffFixed
 from akkudoktoreos.prediction.feedintariffimport import FeedInTariffImport
@@ -72,6 +73,7 @@ class PredictionCommonSettings(SettingsBaseModel):
 # Initialize forecast providers, all are singletons.
 elecprice_akkudoktor = ElecPriceAkkudoktor()
 elecprice_energy_charts = ElecPriceEnergyCharts()
+elecprice_fixed = ElecPriceFixed()
 elecprice_import = ElecPriceImport()
 feedintariff_fixed = FeedInTariffFixed()
 feedintariff_import = FeedInTariffImport()
@@ -91,6 +93,7 @@ def prediction_providers() -> list[
     Union[
         ElecPriceAkkudoktor,
         ElecPriceEnergyCharts,
+        ElecPriceFixed,
         ElecPriceImport,
         FeedInTariffFixed,
         FeedInTariffImport,
@@ -110,6 +113,7 @@ def prediction_providers() -> list[
     global \
         elecprice_akkudoktor, \
         elecprice_energy_charts, \
+        elecprice_fixed, \
         elecprice_import, \
         feedintariff_fixed, \
         feedintariff_import, \
@@ -128,6 +132,7 @@ def prediction_providers() -> list[
     return [
         elecprice_akkudoktor,
         elecprice_energy_charts,
+        elecprice_fixed,
         elecprice_import,
         feedintariff_fixed,
         feedintariff_import,
@@ -151,6 +156,7 @@ class Prediction(PredictionContainer):
         Union[
             ElecPriceAkkudoktor,
             ElecPriceEnergyCharts,
+            ElecPriceFixed,
             ElecPriceImport,
             FeedInTariffFixed,
             FeedInTariffImport,