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0575976 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | import gymnasium as gym
import sinergym # noqa: F401 (registers envs)
import pandas as pd
import numpy as np
import os
import sinergym
import json
import sys
from unihvac.find_files import (
detect_paths,
find_manifest,
find_building_and_weather_from_manifest,
)
from unihvac.tables import (
print_monthly_tables_extra,
print_monthly_tables_split,
)
from unihvac.rollout import run_rollout_to_df
# ============================================
# FOR TABLE
pd.set_option("display.max_columns", None)
pd.set_option("display.width", 240)
pd.set_option("display.max_colwidth", 32)
pd.set_option("display.float_format", lambda x: f"{x:,.2f}")
# ============================================
# ==============================================================================
# USER CONFIGURATION
# ==============================================================================
TARGET_LOCATION = "Atlanta" # Buffalo, Miami, Dubai, Fairbanks, HoChiMinh
TARGET_THERMAL = "default" # default, high_performance, low_performance
TARGET_OCCUPANCY = "standard" # standard, school, retail, etc.
# Baseline-like setpoints (also used as DT seed)
HEATING_SP = 21.0
COOLING_SP = 24.0
# Choose policy mode: "dt" or "rbc"
POLICY_TYPE = "dt" # change to "rbc" to match baseline runner exactly
# ==========================================
# PATH DISCOVERY (ROBUST)
# ==========================================
paths = detect_paths(outputs_dirname="baseline_results")
manifest_path = find_manifest(paths, building="OfficeSmall", prefer_patched=True)
output_root = str(paths.outputs_root)
os.makedirs(output_root, exist_ok=True)
TIME_STEP_HOURS = 900.0 / 3600.0 # 0.25 h
# ==========================================
# ACTUATORS & VARIABLES (keep identical)
# ==========================================
hot_actuators = {
"Htg_Core": ("Zone Temperature Control", "Heating Setpoint", "CORE_ZN"),
"Clg_Core": ("Zone Temperature Control", "Cooling Setpoint", "CORE_ZN"),
"Htg_P1": ("Zone Temperature Control", "Heating Setpoint", "PERIMETER_ZN_1"),
"Clg_P1": ("Zone Temperature Control", "Cooling Setpoint", "PERIMETER_ZN_1"),
"Htg_P2": ("Zone Temperature Control", "Heating Setpoint", "PERIMETER_ZN_2"),
"Clg_P2": ("Zone Temperature Control", "Cooling Setpoint", "PERIMETER_ZN_2"),
"Htg_P3": ("Zone Temperature Control", "Heating Setpoint", "PERIMETER_ZN_3"),
"Clg_P3": ("Zone Temperature Control", "Cooling Setpoint", "PERIMETER_ZN_3"),
"Htg_P4": ("Zone Temperature Control", "Heating Setpoint", "PERIMETER_ZN_4"),
"Clg_P4": ("Zone Temperature Control", "Cooling Setpoint", "PERIMETER_ZN_4"),
}
hot_variables = {
"outdoor_temp": ("Site Outdoor Air DryBulb Temperature", "Environment"),
"core_temp": ("Zone Air Temperature", "Core_ZN"),
"perim1_temp": ("Zone Air Temperature", "Perimeter_ZN_1"),
"perim2_temp": ("Zone Air Temperature", "Perimeter_ZN_2"),
"perim3_temp": ("Zone Air Temperature", "Perimeter_ZN_3"),
"perim4_temp": ("Zone Air Temperature", "Perimeter_ZN_4"),
"elec_power": ("Facility Total HVAC Electricity Demand Rate", "Whole Building"),
"core_occ_count": ("Zone People Occupant Count", "CORE_ZN"),
"perim1_occ_count": ("Zone People Occupant Count", "PERIMETER_ZN_1"),
"perim2_occ_count": ("Zone People Occupant Count", "PERIMETER_ZN_2"),
"perim3_occ_count": ("Zone People Occupant Count", "PERIMETER_ZN_3"),
"perim4_occ_count": ("Zone People Occupant Count", "PERIMETER_ZN_4"),
"outdoor_dewpoint": ("Site Outdoor Air Dewpoint Temperature", "Environment"),
"outdoor_wetbulb": ("Site Outdoor Air Wetbulb Temperature", "Environment"),
"core_rh": ("Zone Air Relative Humidity", "CORE_ZN"),
"perim1_rh": ("Zone Air Relative Humidity", "PERIMETER_ZN_1"),
"perim2_rh": ("Zone Air Relative Humidity", "PERIMETER_ZN_2"),
"perim3_rh": ("Zone Air Relative Humidity", "PERIMETER_ZN_3"),
"perim4_rh": ("Zone Air Relative Humidity", "PERIMETER_ZN_4"),
"core_ash55_notcomfortable_summer": ("Zone Thermal Comfort ASHRAE 55 Simple Model Summer Clothes Not Comfortable Time", "CORE_ZN"),
"core_ash55_notcomfortable_winter": ("Zone Thermal Comfort ASHRAE 55 Simple Model Winter Clothes Not Comfortable Time", "CORE_ZN"),
"core_ash55_notcomfortable_any": ("Zone Thermal Comfort ASHRAE 55 Simple Model Summer or Winter Clothes Not Comfortable Time", "CORE_ZN"),
"p1_ash55_notcomfortable_any": ("Zone Thermal Comfort ASHRAE 55 Simple Model Summer or Winter Clothes Not Comfortable Time", "PERIMETER_ZN_1"),
"p2_ash55_notcomfortable_any": ("Zone Thermal Comfort ASHRAE 55 Simple Model Summer or Winter Clothes Not Comfortable Time", "PERIMETER_ZN_2"),
"p3_ash55_notcomfortable_any": ("Zone Thermal Comfort ASHRAE 55 Simple Model Summer or Winter Clothes Not Comfortable Time", "PERIMETER_ZN_3"),
"p4_ash55_notcomfortable_any": ("Zone Thermal Comfort ASHRAE 55 Simple Model Summer or Winter Clothes Not Comfortable Time", "PERIMETER_ZN_4"),
}
class BaselineReward:
def __init__(self, *args, **kwargs):
pass
def __call__(self, obs_dict):
return 0.0, {}
def run_eval_for_location(location, building_path, weather_path):
print("\n" + "=" * 80)
print(f"Running eval for location: {location}")
print(f" Building: {building_path}")
print(f" Weather: {weather_path}")
print(f" Policy: {POLICY_TYPE}")
print("=" * 80)
out_dir = os.path.join(output_root, location)
os.makedirs(out_dir, exist_ok=True)
# Build policy (DT or RBC) — policy state stays outside policy_fn
if POLICY_TYPE == "dt":
RUN_DIR = "Trajectories_code/run_007" # update
policy = make_policy(
"dt",
ckpt_path=os.path.join(RUN_DIR, "ckpt_10.pt"),
model_config_path=os.path.join(RUN_DIR, "model_config.json"),
norm_stats_path="Trajectories_code/traj_results/norm_stats.npz",
context_len=24,
max_tokens_per_step=64,
)
else:
policy = make_policy("rbc", heating_sp=HEATING_SP, cooling_sp=COOLING_SP)
policy.reset()
def policy_fn(obs, info, step):
if step == 0:
print("OBS TYPE:", type(obs), "SHAPE:", getattr(obs, "shape", None))
if isinstance(obs, dict):
print("OBS KEYS SAMPLE:", list(obs.keys())[:10])
action, _, _ = policy.act(obs, info, step)
return action
df = run_rollout_to_df(
building_path=str(building_path),
weather_path=str(weather_path),
variables=hot_variables,
actuators=hot_actuators,
policy_fn=policy_fn,
location=location,
timestep_hours=TIME_STEP_HOURS,
heating_sp=HEATING_SP,
cooling_sp=COOLING_SP,
reward=BaselineReward,
max_steps=None,
verbose=True,
)
print("setpoint_htg min/max:", df["setpoint_htg"].min(), df["setpoint_htg"].max())
print("setpoint_clg min/max:", df["setpoint_clg"].min(), df["setpoint_clg"].max())
print("comfort_violation min/mean/max:", df["comfort_violation_degCh"].min(),
df["comfort_violation_degCh"].mean(), df["comfort_violation_degCh"].max())
print_monthly_tables_extra(df, location)
print_monthly_tables_split(df, location, time_step_hours=TIME_STEP_HOURS)
df.to_csv(os.path.join(out_dir, "eval_timeseries.csv"), index=False)
return df
if __name__ == "__main__":
bpath, wpath = find_building_and_weather_from_manifest(
manifest_path,
location=TARGET_LOCATION,
occupancy=TARGET_OCCUPANCY,
thermal=TARGET_THERMAL,
require_patched=True,
)
print("USING BUILDING FILE:", bpath)
run_eval_for_location(TARGET_LOCATION, str(bpath), str(wpath))
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