Fix config and prediction revamp. (#259)

Extend single_test_optimization.py to be able to use real world data from new prediction classes.
- .venv/bin/python single_test_optimization.py --real_world --verbose
Can also be run with profiling "--profile".

Add single_test_prediction.py to fetch predictions from remote prediction providers
- .venv/bin/python single_test_prediction.py --verbose --provider-id PVForecastAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id LoadAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ElecPriceAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id BrightSky | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ClearOutside | more
Can also be run with profiling "--profile".

single_test_optimization.py is an example on how to retrieve prediction data for optimization and
use it to set up the optimization parameters.

Changes:
- load: Only one load provider at a time (vs. 5 before)

Bug fixes:
- prediction: only use providers that are enabled to retrieve or set data.
- prediction: fix pre pendulum format strings
- dataabc: Prevent error when resampling data with no datasets.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

src/akkudoktoreos/prediction/load.py

@@ -1,8 +1,8 @@
 """Load forecast module for load predictions."""
 
-from typing import Optional, Set
+from typing import Optional
 
-from pydantic import Field, computed_field
+from pydantic import Field
 
 from akkudoktoreos.config.configabc import SettingsBaseModel
 from akkudoktoreos.utils.logutil import get_logger
@@ -12,50 +12,7 @@ logger = get_logger(__name__)
 
 class LoadCommonSettings(SettingsBaseModel):
     # Load 0
-    load0_provider: Optional[str] = Field(
+    load_provider: Optional[str] = Field(
         default=None, description="Load provider id of provider to be used."
     )
-    load0_name: Optional[str] = Field(default=None, description="Name of the load source.")
-
-    # Load 1
-    load1_provider: Optional[str] = Field(
-        default=None, description="Load provider id of provider to be used."
-    )
-    load1_name: Optional[str] = Field(default=None, description="Name of the load source.")
-
-    # Load 2
-    load2_provider: Optional[str] = Field(
-        default=None, description="Load provider id of provider to be used."
-    )
-    load2_name: Optional[str] = Field(default=None, description="Name of the load source.")
-
-    # Load 3
-    load3_provider: Optional[str] = Field(
-        default=None, description="Load provider id of provider to be used."
-    )
-    load3_name: Optional[str] = Field(default=None, description="Name of the load source.")
-
-    # Load 4
-    load4_provider: Optional[str] = Field(
-        default=None, description="Load provider id of provider to be used."
-    )
-    load4_name: Optional[str] = Field(default=None, description="Name of the load source.")
-
-    # Computed fields
-    @computed_field  # type: ignore[prop-decorator]
-    @property
-    def load_count(self) -> int:
-        """Maximum number of loads."""
-        return 5
-
-    @computed_field  # type: ignore[prop-decorator]
-    @property
-    def load_providers(self) -> Set[str]:
-        """Load providers."""
-        providers = []
-        for i in range(self.load_count):
-            load_provider_attr = f"load{i}_provider"
-            value = getattr(self, load_provider_attr)
-            if value:
-                providers.append(value)
-        return set(providers)
+    load_name: Optional[str] = Field(default=None, description="Name of the load source.")