Datasets:
Download scripts/run_campaign.py from hcltech-robotics/simrepairbench: direct link, hf CLI and curl.
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- Download file 8.31 kB
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https://huggingface.co/datasets/hcltech-robotics/simrepairbench/resolve/main/scripts/run_campaign.py
- Command line
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hf download hf://datasets/hcltech-robotics/simrepairbench/scripts/run_campaign.py
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curl -L -o run_campaign.py https://huggingface.co/datasets/hcltech-robotics/simrepairbench/resolve/main/scripts/run_campaign.py
8.31 kB
| """Prepare or execute one immutable task/model/attempt through local Harbor.""" | |
| import argparse | |
| import json | |
| import os | |
| from pathlib import Path | |
| import shutil | |
| import subprocess | |
| import sys | |
| import tomllib | |
| from simrepairbench.campaign import RateCard,digest,link_harbor_job,save | |
| from simrepairbench.campaign_models import ModelEpisodeStore,load_plan,model_episode_index,repair_prompt_sha256 | |
| from simrepairbench.campaign_versioned import RunIdentity,VersionedBudgetLedger,canonical_hash,model_config_id | |
| from simrepairbench import campaign | |
| from simrepairbench.campaign_observation import OBSERVATION_POLICY,validated_png | |
| def prepare(args): | |
| plan,authorizations=load_plan(args.run_plan) | |
| configuration=json.loads(args.model_configuration.read_text());config_id=model_config_id(configuration) | |
| if configuration['provider']!='openai' or configuration['requested_model']!='gpt-6-astra':raise ValueError('This controller supports the authorized Astra configuration only') | |
| if configuration['harness_version']!='3.0.0' or configuration['system_prompt_sha256']!=repair_prompt_sha256() or configuration['tools'].get('schema_sha256')!=canonical_hash(campaign.TOOLS):raise ValueError('Configured harness, tools or prompt differ') | |
| if configuration.get('observation_policy')!=OBSERVATION_POLICY:raise ValueError('The initial broken PNG observation contract is required') | |
| generation=configuration['generation'] | |
| if generation!={'max_output_tokens':4096,'max_input_tokens':128000} or configuration['reasoning_effort']!='medium':raise ValueError('Unsupported campaign generation limits') | |
| rows=[row for row in plan['runs'] if row['case_id']==args.case and row['model_config_id']==config_id and row['attempt_id']==args.attempt_id] | |
| if len(rows)!=1:raise ValueError('Exactly one authorized immutable attempt is required') | |
| row=rows[0];identity=RunIdentity(row['case_id'],row['task_revision'],config_id,row['attempt_id']);pins=row['input'] | |
| if pins['dataset_version']!='0.3.0':raise ValueError('This launcher requires the revised 0.3.0 input release') | |
| for name in ('package_sha256','asset_sha256','harbor_task_digest','objective_profile_sha256','initial_observation_sha256'): | |
| if not campaign.SHA.fullmatch(pins.get(name,'')):raise ValueError('Missing immutable input pin: '+name) | |
| if not __import__('re').fullmatch('[0-9a-f]{40}',pins.get('hf_revision','')):raise ValueError('Immutable published HF input revision required') | |
| if not args.ledger.is_file():raise ValueError('The existing financial ledger must be preserved') | |
| task=args.task_path.resolve();cfg=tomllib.loads((task/'task.toml').read_text()) | |
| if cfg['metadata']['case_id']!=identity.case_id or cfg['metadata']['task_revision']!=identity.task_revision:raise ValueError('Task identity differs from the planned revision') | |
| if cfg['environment']['network_mode']!='no-network' or cfg['verifier']['environment_mode']!='separate' or cfg['verifier']['environment']['network_mode']!='no-network':raise ValueError('Task isolation differs from the qualified protocol') | |
| if digest(task/'environment/input/asset.usdc')!=pins['asset_sha256']:raise ValueError('Actor input USD differs from the planned input') | |
| image_path=task/'environment/input/visual-observation.png' | |
| validated_png(image_path,pins['initial_observation_sha256']) | |
| rates=RateCard.load(args.rates) | |
| if rates.provider!=configuration['provider'] or rates.model!=configuration['requested_model']:raise ValueError('Price card differs from the configured model') | |
| episode=identity.episode_id(plan['campaign_id']) | |
| kwargs={'budget_db':str(args.ledger.resolve()),'campaign_id':plan['campaign_id'],'case_id':identity.case_id,'episode_id':episode, | |
| 'episode_root':str(args.episodes.resolve()),'price_card':str(args.rates.resolve()),'input_package_sha256':pins['package_sha256'], | |
| 'input_package_path':pins['package_path'],'input_asset_sha256':pins['asset_sha256'],'max_output_tokens':4096,'reasoning_effort':'medium', | |
| 'initial_observation_path':str(image_path),'run_plan':str(args.run_plan.resolve()),'model_configuration':str(args.model_configuration.resolve()),'task_revision':identity.task_revision,'model_config_id':config_id,'attempt_id':identity.attempt_id} | |
| argv=[args.harbor,'run','-p',str(task),'-a','simrepairbench.campaign_models:VersionedAstraAgent','-m','openai/gpt-6-astra','-n','1','-k','1','-r','0','-o',str(args.jobs.resolve()),'--job-name',episode] | |
| for key,value in kwargs.items():argv+=['--ak',key+'='+json.dumps(value)] | |
| return plan,authorizations,configuration,identity,pins,argv | |
| def main(): | |
| parser=argparse.ArgumentParser(description=__doc__) | |
| for flag in ('run-plan','model-configuration','ledger','rates','episodes','task-path','jobs'):parser.add_argument('--'+flag,type=Path,required=True) | |
| parser.add_argument('--case',required=True);parser.add_argument('--attempt-id',type=int,default=1);parser.add_argument('--harbor',default='harbor') | |
| parser.add_argument('--preflight',type=Path,help='Passed native artifact-transfer control receipt for this exact task') | |
| parser.add_argument('--execute',action='store_true',help='Run the authorized single episode; default only prints its command') | |
| args=parser.parse_args();plan,authorizations,configuration,identity,pins,argv=prepare(args) | |
| result={'schema':'simrepairbench-launch-plan-v3','campaign_id':plan['campaign_id'],'identity':identity.__dict__,'episode_id':identity.episode_id(plan['campaign_id']), | |
| 'input':pins,'argv':argv,'executed':False,'financial_ledger':str(args.ledger.resolve()),'new_ledger_created':False,'public_uploads':False,'private_archival':False} | |
| if not args.execute:print(json.dumps(result,indent=2));return | |
| if args.preflight is None:raise ValueError('A passed native control receipt is required before inference') | |
| preflight=json.loads(args.preflight.read_text()) | |
| for name,value in {'passed':True,'task_revision':identity.task_revision,'harbor_task_digest':pins['harbor_task_digest'],'input_asset_sha256':pins['asset_sha256'], | |
| 'actor_no_network':True,'separate_verifier':True,'artifact_transfer_passed':True,'actor_reference_absent':True}.items(): | |
| if preflight.get(name)!=value:raise ValueError('Native preflight mismatch: '+name) | |
| from harbor.publisher.packager import Packager | |
| from harbor.models.task.task import Task | |
| Task(args.task_path) | |
| actual,_=Packager.compute_content_hash(args.task_path) | |
| if actual!=pins['harbor_task_digest']:raise ValueError('Task archive content differs from the published digest') | |
| ledger=VersionedBudgetLedger(args.ledger,plan['campaign_id'],authorizations=authorizations,bound_identity=identity) | |
| summary=ledger.summary() | |
| if summary['state']!='active' or any(call['state'] in ('reserved','uncertain') for call in summary['calls']):raise ValueError('Financial campaign is held or provider usage is unsettled') | |
| required=max(12*1024**3,12*sum(p.stat().st_size for p in args.task_path.rglob('*') if p.is_file())+4*1024**3) | |
| if shutil.disk_usage(args.jobs.resolve().parent).free<required:raise ValueError('Observed-peak disk headroom guard failed') | |
| episode=identity.episode_id(plan['campaign_id']);store=ModelEpisodeStore(args.episodes,plan['campaign_id'],identity.case_id,episode,identity=identity,configuration=configuration,input_context=pins) | |
| if store.manifest.exists() or (args.jobs/episode).exists():raise ValueError('An existing attempt cannot be rerun') | |
| args.jobs.mkdir(parents=True,exist_ok=True);result.update(executed=True,preflight_sha256=digest(args.preflight),disk_required_bytes=required) | |
| print(json.dumps(result),flush=True) | |
| environment=os.environ.copy();source=Path(__file__).resolve().parents[1]/'src';environment['PYTHONPATH']=str(source)+os.pathsep+environment.get('PYTHONPATH','') | |
| process=subprocess.run(argv,check=False,env=environment) | |
| # Harbor's verifier runs after the actor. Attach only verifier-owned outputs. | |
| if store.manifest.exists(): | |
| save(store.path/'harbor-command.json',result) | |
| if (args.jobs/episode).is_dir():link_harbor_job(store,args.jobs/episode) | |
| model_episode_index(args.episodes,plan['campaign_id']) | |
| raise SystemExit(process.returncode) | |
| if __name__=='__main__':main() | |