| """Compare three FEM futures from one thermal state. SPDX-License-Identifier: Apache-2.0""" |
| import argparse |
| import json |
| from pathlib import Path |
|
|
| import h5py |
| import numpy as np |
|
|
| REPO = "HaomingLuo/AgentFEM-Controlled-Transient-Heat" |
| REVISION = "0c2d4497105487b0173bee25830047878c51588d" |
| BRANCHES = ("maintain", "throttle", "shutdown") |
|
|
|
|
| def load_triplets(path): |
| """Validate all scenario groups, then return records grouped by scenario.""" |
| groups = {} |
| with h5py.File(path, "r") as h5: |
| time = np.asarray(h5["common/time_s"]) |
| assert time.ndim == 1 and np.all(np.diff(time) > 0) |
| for key, group in h5["trajectories"].items(): |
| record = json.loads(group.attrs["record_json"]) |
| scenario = groups.setdefault(record["scenario_id"], {}) |
| branch = record["branch"] |
| assert branch not in scenario, "Duplicate branch" |
| arrays = {k: np.asarray(group[k]) for k in ( |
| "temperature_history_k", "source_control_w_m3", |
| "applied_heat_rate", "thermal_content")} |
| assert all(len(v) == len(time) and np.isfinite(v).all() for v in arrays.values()) |
| scenario[branch] = {"id": key, "record": record, **arrays} |
| before = time <= 300.0 |
| assert before.any() and (time > 300.0).any() |
| for scenario in groups.values(): |
| assert set(scenario) == set(BRANCHES), "Incomplete triplet" |
| assert len({v["record"]["split"] for v in scenario.values()}) == 1, "Split leakage" |
| for branch in BRANCHES[1:]: |
| for name in ("temperature_history_k", "source_control_w_m3"): |
| assert np.array_equal(scenario["maintain"][name][before], scenario[branch][name][before]), "Unequal pre-intervention states" |
| return time, groups |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description=__doc__) |
| parser.add_argument("--data", type=Path, help="Existing cohort.h5; otherwise download pinned 77 MB dataset") |
| parser.add_argument("--scenario", help="Scenario id; default: first test scenario") |
| parser.add_argument("--output", type=Path, default=Path("branch-comparison.png")) |
| args = parser.parse_args() |
| if args.data is None: |
| from huggingface_hub import hf_hub_download |
| args.data = Path(hf_hub_download(REPO, "cohort.h5", repo_type="dataset", revision=REVISION)) |
| time, groups = load_triplets(args.data) |
| candidates = sorted(k for k, v in groups.items() if v["maintain"]["record"]["split"] == "test") |
| selected = args.scenario or candidates[0] |
| if selected not in groups: |
| parser.error("Unknown scenario. Available ids: " + ", ".join(sorted(groups))) |
| scenario = groups[selected] |
|
|
| import matplotlib |
| matplotlib.use("Agg") |
| import matplotlib.pyplot as plt |
| colors = ("#177f82", "#b47725", "#665ca5") |
| labels = ("Maintain power", "40% power", "Shutdown") |
| fig, axes = plt.subplots(1, 3, figsize=(14, 4.8), facecolor="#fafbf9") |
| for branch, color, label in zip(BRANCHES, colors, labels): |
| data = scenario[branch] |
| peaks = np.array([s["peak_power_density_w_m3"] for s in data["record"]["parameters"]["sources"]]) |
| command = data["source_control_w_m3"] / peaks |
| assert np.allclose(command, command[:, :1]), "Sources have unequal commands" |
| axes[0].plot(time, data["temperature_history_k"].max(axis=1), color=color, label=label, lw=2) |
| axes[1].plot(time, command[:, 0] * 100, color=color, lw=2) |
| axes[2].plot(time, (data["thermal_content"] - data["thermal_content"][0]) / 1000, color=color, lw=2) |
| titles = ("Hottest node", "Source power command", "Heat stored since start") |
| units = ("Temperature / K", "Fraction of full source power / %", "Thermal-content change / kJ m⁻¹") |
| for ax, title, unit in zip(axes, titles, units): |
| ax.set(title=title, xlabel="Time / s", ylabel=unit) |
| ax.axvline(300, color="#7b8588", ls="--", lw=1) |
| ax.grid(alpha=.18) |
| ax.spines[["top", "right"]].set_visible(False) |
| axes[0].legend(frameon=False, fontsize=9) |
| fig.suptitle("AgentFEM · One thermal state, three power commands", x=.055, ha="left", fontsize=17) |
| fig.text(.055, .025, f"Scenario {selected} · {scenario['maintain']['record']['split']} split · Synthetic 2D FEM, per unit depth · Intervention at 300 s", fontsize=9, color="#53626a") |
| fig.tight_layout(rect=(0, .07, 1, .94)) |
| fig.savefig(args.output, dpi=160) |
| plt.close(fig) |
| print(json.dumps({"validated_scenarios": len(groups), "selected": selected, |
| "split": scenario["maintain"]["record"]["split"], |
| "final_hotspot_K": {b: float(scenario[b]["temperature_history_k"][-1].max()) for b in BRANCHES}, |
| "output": str(args.output)}, indent=2)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
