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| from pydantic import BaseModel, ConfigDict, field_validator | |
| import numpy as np | |
| class Observation(BaseModel): | |
| model_config = ConfigDict(arbitrary_types_allowed=True) | |
| soc: float; lmp: float; lmp_delta: float; regd: float; demand: float | |
| time: float; time_sin: float; time_cos: float; lmp_avg: float | |
| voltage: float; line_load: float | |
| def to_array(self): | |
| return np.array([ | |
| self.soc, self.lmp, self.lmp_delta, self.regd, self.demand, | |
| self.time, self.time_sin, self.time_cos, self.lmp_avg, | |
| self.voltage, self.line_load | |
| ], dtype=np.float32) | |
| class Action(BaseModel): | |
| power: float | |
| def coerce_to_float(cls, v): | |
| return float(np.asarray(v).reshape(-1)[0]) | |