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>
This commit is contained in:
Bobby Noelte
2024-12-16 20:26:08 +01:00
committed by GitHub
parent 810cc17c0b
commit 31bd2de18b
21 changed files with 415 additions and 713 deletions

View File

@@ -7,7 +7,7 @@ Notes:
from abc import abstractmethod
from typing import List, Optional
from pydantic import Field, computed_field
from pydantic import Field
from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
from akkudoktoreos.utils.logutil import get_logger
@@ -18,41 +18,8 @@ logger = get_logger(__name__)
class LoadDataRecord(PredictionRecord):
"""Represents a load data record containing various load attributes at a specific datetime."""
load0_mean: Optional[float] = Field(default=None, description="Load 0 mean value (W)")
load0_std: Optional[float] = Field(default=None, description="Load 0 standard deviation (W)")
load1_mean: Optional[float] = Field(default=None, description="Load 1 mean value (W)")
load1_std: Optional[float] = Field(default=None, description="Load 1 standard deviation (W)")
load2_mean: Optional[float] = Field(default=None, description="Load 2 mean value (W)")
load2_std: Optional[float] = Field(default=None, description="Load 2 standard deviation (W)")
load3_mean: Optional[float] = Field(default=None, description="Load 3 mean value (W)")
load3_std: Optional[float] = Field(default=None, description="Load 3 standard deviation (W)")
load4_mean: Optional[float] = Field(default=None, description="Load 4 mean value (W)")
load4_std: Optional[float] = Field(default=None, description="Load 4 standard deviation (W)")
# Computed fields
@computed_field # type: ignore[prop-decorator]
@property
def load_total_mean(self) -> float:
"""Total load mean value (W)."""
total_mean = 0.0
for i in range(5):
load_mean_attr = f"load{i}_mean"
value = getattr(self, load_mean_attr)
if value:
total_mean += value
return total_mean
@computed_field # type: ignore[prop-decorator]
@property
def load_total_std(self) -> float:
"""Total load standard deviation (W)."""
total_std = 0.0
for i in range(5):
load_std_attr = f"load{i}_std"
value = getattr(self, load_std_attr)
if value:
total_std += value
return total_std
load_mean: Optional[float] = Field(default=None, description="Load mean value (W)")
load_std: Optional[float] = Field(default=None, description="Load standard deviation (W)")
class LoadProvider(PredictionProvider):
@@ -86,17 +53,4 @@ class LoadProvider(PredictionProvider):
return "LoadProvider"
def enabled(self) -> bool:
logger.debug(
f"LoadProvider ID {self.provider_id()} vs. config {self.config.load_providers}"
)
return self.provider_id() == self.config.load_providers
def loads(self) -> List[str]:
"""Returns a list of key prefixes of the loads managed by this provider."""
loads_prefix = []
for i in range(self.config.load_count):
load_provider_attr = f"load{i}_provider"
value = getattr(self.config, load_provider_attr)
if value == self.provider_id():
loads_prefix.append(f"load{i}")
return loads_prefix
return self.provider_id() == self.config.load_provider