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e80503b 9340d8d e80503b 9340d8d e80503b 9340d8d e112496 9340d8d e80503b | 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 | """Submission entry point (run by the competition platform): builds submission.csv for all splits."""
print('import start', flush=True)
import os, sys, time, traceback
from pathlib import Path
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from batteryswap_public.utils import make_submissions
from bsw.solution import SolutionPlanner
def defer_all_split(split, dataset_path):
"""CATASTROPHE FALLBACK: a guaranteed-valid plan for one split that swaps nothing.
Every battery still alive at each scenario start (same dead-device removal formula as
batteryswap_public.utils.iterate_scenarios) is scheduled on the day AFTER the planning
window end (start + planning_window_days + 1), which check_plan_valid accepts and
evaluate_plan never executes (it keeps only rows with day <= start + planning_window_days).
"""
import pandas as pd
from batteryswap_public.utils import load_dataset
from batteryswap_public.evaluate import check_plan_valid
locations, _timeseries, eol_times, scenarios = load_dataset(Path(dataset_path) / split)
plans = []
for s in scenarios:
T = pd.Timestamp(s['start_time'])
window_days = float(getattr(s['settings'], 'planning_window_days', 42))
is_eol = ((~pd.isna(eol_times)) & (eol_times <= T))
locs = locations[~locations['battery'].isin(eol_times[is_eol].index)]
far = T.normalize() + pd.Timedelta(days=int(window_days) + 1)
plan = pd.DataFrame({'day': [far] * len(locs), 'battery': list(locs['battery'])})
check_plan_valid(plan, locs, start_time=T)
plan['split'] = split
plan['scenario'] = s['name']
plans.append(plan)
return pd.concat(plans, ignore_index=True)
def main():
t0 = time.time()
here = Path(os.path.dirname(os.path.abspath(__file__)))
artifact_dir = here / 'artifacts'
dataset_path = Path(os.environ.get('BATTERYSWAP_DATASET_PATH', '/tmp/data'))
splits = os.environ.get('BATTERYSWAP_SPLITS', 'public,private').split(',')
out_path = Path(os.environ.get('BATTERYSWAP_SUBMISSION_PATH', 'submission.csv'))
# One planner instance PER SPLIT (the incremental daily cache assumes forward cuts over one
# device set); shared t0 keeps a single soft time budget across all splits.
import pandas as pd
frames = []
for split in splits:
try:
# Phase-peer candidate: hard-enable static C5. This tree composes
# it with fixed causal temporal and same-building contradiction
# certificates; a certified conflict abstains to exact C5 base.
planner = SolutionPlanner(
str(artifact_dir), verbose=1, reentry_devicecal_c5=True)
frames.append(make_submissions((lambda p: (lambda: p))(planner), dataset_path=dataset_path,
splits=[split], out_path=None))
except Exception as e:
# CATASTROPHE WRAPPER: never return an invalid/absent submission for a split.
print(f'split {split}: FATAL {e!r}; emitting defer-all fallback plan', flush=True)
traceback.print_exc()
frames.append(defer_all_split(split, dataset_path))
pd.concat(frames).to_csv(out_path, index=False)
assert os.path.exists(out_path)
print(f'done in {time.time()-t0:.0f}s', flush=True)
if __name__ == '__main__':
main()
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