chore: prepare for update of genetic algorithm (#1190)

Andreas will update the genetic algorithm for 15-minutes optimization
intervals.

Copy the current GENETIC optimization algorithm to GENETIC0 to enable
to keep the algorithm with the current functionality. Also copy resources
like the load interpolator to the GENETIC0 algorithm to keep them despite
possible later changes to the interpolator.

Make the deprecated legacy /optimize endpoint use the GENETIC0 optimization
algorithm to in-fact behave the same way even if there will later be changes
to the GENETIC algorithm by Andreas. Add a new REST endpoint to provide
the unprocessed optimisation results of the GENETIC and GENETIC0 algorithm
in case one wants to use them as done with the deprecated /optimize endpoint.

Adapt the optimization configuration to have distinct configurations for the
GENETIC and the GENETIC0 algorithm.

Create a copy of the current tests for the GENETIC algorithm to be used
for the GENETIC0 algorithm. This avoids the tests for the GENETIC0
algorithm to be influenced by later changes by Andreas.

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

src/akkudoktoreos/optimization/genetic/geneticparams.py

@@ -247,17 +247,18 @@ class GeneticOptimizationParameters(
             logger.info("Prediction historic hours unknown - defaulting to 24 hours.")
             cls.config.prediction.historic_hours = 24
         # Check optimization definitions
-        if cls.config.optimization.horizon_hours is None:
+        if cls.config.optimization.genetic.horizon_hours is None:
             logger.info("Optimization horizon unknown - defaulting to 24 hours.")
-            cls.config.optimization.horizon_hours = 24
-        if cls.config.optimization.interval is None:
+            cls.config.optimization.genetic.horizon_hours = 24
+        if cls.config.optimization.genetic.interval_sec is None:
             logger.info("Optimization interval unknown - defaulting to 3600 seconds.")
-            cls.config.optimization.interval = 3600
-        if cls.config.optimization.interval != 3600:
+            cls.config.optimization.genetic.interval_sec = 3600
+        if cls.config.optimization.genetic.interval_sec != 3600:
             logger.info(
-                "Optimization interval '{}' seconds not supported - forced to 3600 seconds."
+                f"Optimization interval '{cls.config.optimization.genetic.interval_sec}' seconds "
+                "not supported - forced to 3600 seconds."
             )
-            cls.config.optimization.interval = 3600
+            cls.config.optimization.genetic.interval_sec = 3600
         # Check genetic algorithm definitions
         if cls.config.optimization.genetic.individuals is None:
             logger.info("Genetic individuals unknown - defaulting to 300.")
@@ -276,8 +277,8 @@ class GeneticOptimizationParameters(
             start_solution = last_solution.start_solution
 
         # Add forecast and device data
-        interval = to_duration(cls.config.optimization.interval)
-        power_to_energy_per_interval_factor = cls.config.optimization.interval / 3600
+        interval = to_duration(cls.config.optimization.genetic.interval_sec)
+        power_to_energy_per_interval_factor = cls.config.optimization.genetic.interval_sec / 3600
         parameter_start_datetime = ems.start_datetime.set(hour=0, second=0, microsecond=0)
         parameter_end_datetime = parameter_start_datetime.add(hours=cls.config.prediction.hours)
         max_retries = 10