# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

"""
Data models for the Smart Grid Environment.

The smart_grid environment is a simple test environment that simulates energy distribution in a smart grid powered by solar and wind energy.
"""

from pydantic import Field
from openenv.core.env_server.types import Action, Observation

class SmartGridAction(Action):
    """Action for the Smart Grid environment - details of controlling energy distribution."""

    supply_r1: float = Field(default=0.0, ge=0, description="Supply to region 1 (MW)")
    supply_r2: float = Field(default=0.0, ge=0, description="Supply to region 2 (MW)")
    supply_r3: float = Field(default=0.0, ge=0, description="Supply to region 3 (MW)")
    
    charge_battery: float = Field(default=0.0, description="Amount to charge (positive) or discharge (negative) the battery (MW)")


class SmartGridObservation(Observation):
    """
    Observation returned by the Smart Grid environment at each timestamp.
    Represents current status of energy grid distribution.
    """

    hour: int = Field(default=0, ge=0, le=23, description="Current hour of the day in the simulation (0-23)")

    demand_r1: float = Field(default=0.0, ge=0, description="Simulated demand for region 1")
    demand_r2: float = Field(default=0.0, ge=0, description="Simulated demand for region 2")
    demand_r3: float = Field(default=0.0, ge=0, description="Simulated demand for region 3")

    solar_generation: float = Field(default=0.0, ge=0, description="Simulated solar generation (MW)")
    wind_generation: float = Field(default=0.0, ge=0, description="Simulated wind generation (MW)")

    battery_level: float = Field(default=0.0, ge=0, description="Current battery storage level in simulation (MWh)")
    battery_capacity: float = Field(default=100.0, ge=0, description="Maximum battery capacity (MWh)")

    reward: float = Field(default=0.0, description="Reward received at this step based on the action taken and resulting state")
    done: bool = Field(default=False, description="Whether the episode has ended after this step")