ReScopeBench / cases /robot /runtime.py
JoeYing
Add ReScopeBench cases and task preview
f726fd6
Raw History Blame Contribute Delete
188 kB
"""Released environment operations and snapshot validation."""
from __future__ import annotations
from contextlib import contextmanager
from contextvars import ContextVar
from copy import deepcopy as ext_deepcopy
from datetime import datetime as ext_datetime
from datetime import timedelta as ext_timedelta
from datetime import timezone as ext_timezone
from pathlib import Path as ext_Path
from rescopebench.raw_module_isolation import isolated_package_namespace as ext_isolated_package_namespace
from rescopebench.public_projection import assert_hard_public_projection as ext_assert_hard_public_projection
from typing import Any as ext_Any
import hashlib as mod_hashlib
import importlib as mod_importlib
import json as mod_json
import jsonschema as mod_jsonschema
import math as mod_math
import re as _re
import re as mod_re
import shutil as mod_shutil
import sys as mod_sys
import tempfile as mod_tempfile
from .spec import CASE_DIR, DATA_BUSINESS_CALL_LIMITS, DATA_ZONE_ADJACENCY, DATA_ORDERED_MUTATIONS, DATA_CONTRACT, DATA_ORDER_INDEX_BLUEPRINT, DATA_EPISODE_BUDGETS, DATA_TOOLS_2, DATA_TASK_IDS, DATA_SCHEDULE_2, DATA_EPISODE_BUDGETS_2, DATA_CHANGED_HANDLING_ATOMS, DATA_ID_FIELDS, DATA_STATE_TABLES, DATA_ORDER_INDEX_BLUEPRINT_2, DATA_TOOLS_3, DATA__TRAVERSE_PARAMETERS, DATA_TRANSFER_PROFILES, DATA__TOOL_BY_NAME, DATA__ID_FIELDS, DATA_ORDER_INDEX_BLUEPRINT_3, DATA_TOOLS_4, DATA_TOOLS_5, DATA__SNAPSHOT_FIELDS, DATA_TOOLS_6, DATA_INTAKE_CODES, DATA_HANDLING_CODES, DATA__SNAPSHOT_FIELDS_2, DATA__TRANSFER_EVIDENCE_FIELDS, DATA_REVALIDATION_STATES, DATA__PRIVATE_KEYS, DATA_TOOLS_7, DATA__SNAPSHOT_TABLES
_BOUNDARY_TIME = ContextVar('robot_boundary_timestamp', default=None)
def fn_scoped_staging_result(result, target_group):
def visit(value):
if isinstance(value, list):
return [visit(item) for item in value]
if not isinstance(value, dict):
return value
row = {key: visit(child) for (key, child) in value.items()}
if 'access_state' in row and 'storage_handle' in row and ('stock_group' in row) and (row['stock_group'] != target_group):
row.pop('stock_group')
row.pop('calibration_records', None)
row['objects'] = []
row['matches_pending_stock_group'] = False
row['scope'] = 'current_priority_order'
return row
scoped = visit(result)
if scoped.get('data', {}).get('outcome') == 'retained_source_unavailable' and scoped.get('message') == 'OK':
scoped['message'] = 'RETAINED_SOURCE_UNAVAILABLE: requested parcel is absent from the supplied source'
return scoped
def fn_episode_spec(task_id):
episode = next((row for row in mod_json.loads((CASE_DIR / 'data/world/private/config.json').read_text())['episodes'] if row['episode_id'] == task_id))
if int(task_id[1:]) >= 9:
for order in episode['orders']:
order['source'] = fn_destinations().get(order['stock_group'], order['source'])
return episode
def fn_destinations():
return mod_json.loads((CASE_DIR / 'data/assets/design.json').read_text())['destinations']
def fn_prepare_episode(case, state_dir, episode_id):
(case, state_dir) = (ext_Path(case).resolve(), ext_Path(state_dir).resolve())
config = fn_read(case / 'private/config.json')
requested = fn__episode(config, episode_id)
episode_budget = fn__episode_budget(config, episode_id)
sm = fn_open_state(case / 'private/world', state_dir)
facility = sm.get_entity('facility', config['facility_id'], id_field='facility_id')
current = facility.get('experience_active_episode') if facility else None
boundary_config = ext_deepcopy(config)
boundary_config['budget'] = episode_budget
if current == episode_id:
receipt = fn__advance_boundary(sm, boundary_config, current, episode_id)
else:
if current is None:
previous_episode_id = None
if episode_id != 'T01':
raise ValueError('a fresh state can only prepare T01')
else:
current_episode = fn__episode(config, current)
if current_episode['next_episode_id'] != episode_id:
raise ValueError('persistent state cannot skip or rewind episodes')
previous_episode_id = current
receipt = fn__advance_boundary(sm, boundary_config, previous_episode_id, episode_id)
return (fn_restore_adapter(case, state_dir, episode_id), receipt)
def fn_public_task(task_id):
task = fn_public_task_2(task_id)
by_index = {row['order_index']: row['work_order'] for row in fn_episode_spec_3(task_id)['orders']}
ordered = [by_index[index] for index in DATA_ORDER_INDEX_BLUEPRINT[task_id]]
marker = '\n\nUse the work-order and local observation tools'
(heading, remainder) = task['query'].split(marker, 1)
task['work_orders'] = ordered
task['query'] = heading.split('\n- ', 1)[0] + '\n- ' + '\n- '.join(ordered) + marker + remainder
task['query'] = mod_re.sub('The starting battery is \\d+ units', f'The starting battery is {DATA_EPISODE_BUDGETS[task_id]} units', task['query'], count=1)
task['query'] = task['query'].replace('and at most one previously unseen stock binding can be authorized in this episode. ', 'and each newly verified binding remains provisional until its own order closes. ')
task['budget'] = {'battery_units': DATA_EPISODE_BUDGETS[task_id], 'business_call_limit': DATA_BUSINESS_CALL_LIMITS[task_id]}
return task
def fn__zone_for_room_id(room_id):
if not isinstance(room_id, str):
return None
for (token, zone) in (('-ground-', 'Zone-Ground'), ('-level-one-', 'Zone-Level-One'), ('-level-two-', 'Zone-Level-Two'), ('-mezzanine-', 'Zone-Mezzanine')):
if token in room_id:
return zone
return None
def fn__profiles():
prepare = next((row for row in DATA_TOOLS_2 if row['function']['name'] == 'prepare_transfer'))
return tuple(prepare['function']['parameters']['properties']['profile']['enum'])
def fn_checkpoint_state(adapter, state_dir):
return fn_checkpoint_state_2(adapter, state_dir)
def fn_load_config():
return mod_json.loads((CASE_DIR / 'data/world/private/config.json').read_text(encoding='utf-8'))
def fn_episode_spec_2(task_id):
if task_id not in DATA_TASK_IDS:
raise ValueError(f'unknown Robot stream task: {task_id}')
return ext_deepcopy(next((row for row in fn_load_config()['episodes'] if row['episode_id'] == task_id)))
def fn_restore_adapter(case, state_dir, task_id, **kwargs):
adapter = fn_adapter_for(case, state_dir, task_id, **kwargs)
ledger = kwargs.get('observation_ledger')
path = ext_Path(state_dir) / 'observation-ledger.json'
if ledger is None and path.is_file():
ledger = mod_json.loads(path.read_text())
if ledger is not None:
fn_retain_observed_identities(adapter, ledger, task_id)
return adapter
def fn_scoped_storage_diagnostics(value, object_name):
"""A failed compound action must not return the underlying unfiltered store."""
if isinstance(value, dict):
return {key: [fn_scoped_storage_diagnostics(row, object_name) for row in child if isinstance(row, dict) and row.get('display_name') == object_name] if key == 'objects' and isinstance(child, list) else fn_scoped_storage_diagnostics(child, object_name) for (key, child) in value.items()}
if isinstance(value, list):
return [fn_scoped_storage_diagnostics(child, object_name) for child in value]
return value
def fn_read(path):
return fn_read_2(path)
def fn__episode(config, episode_id):
row = next((item for item in config['episodes'] if item['episode_id'] == episode_id), None)
if row is None:
raise ValueError(f'unknown episode: {episode_id}')
return row
def fn__episode_budget(config, episode_id):
episode = fn__episode(config, episode_id)
value = episode.get('budget', config.get('budget'))
if type(value) is not int or value <= 0:
raise ValueError(f'invalid budget for {episode_id}: {value!r}')
return value
def fn_open_state(world_dir, state_dir):
"""Open persistent stream state, seeding it from the world only once."""
world_dir = ext_Path(world_dir).resolve()
state_dir = ext_Path(state_dir).resolve()
environment = world_dir / 'environment'
source_database = environment / 'data' / 'database'
if not source_database.is_dir():
raise FileNotFoundError(source_database)
state_dir.mkdir(parents=True, exist_ok=True)
state_database = state_dir / 'database'
if not state_database.exists():
mod_shutil.copytree(source_database, state_database)
elif not state_database.is_dir():
raise NotADirectoryError(state_database)
environment_path = str(environment)
if environment_path in mod_sys.path:
mod_sys.path.remove(environment_path)
mod_sys.path.insert(0, environment_path)
from mcp_servers.state.state_manager import StateManager
return StateManager(db_path=str(state_dir))
def fn__advance_boundary(sm, config, previous_episode_id, next_episode_id):
token = _BOUNDARY_TIME.set(fn__logical_boundary_time(fn_semantic_state(sm)))
try:
return fn_advance_boundary(sm, config, previous_episode_id, next_episode_id)
finally:
_BOUNDARY_TIME.reset(token)
def fn_public_task_2(task_id):
task = fn_public_task_3(task_id)
budget = DATA_EPISODE_BUDGETS_2[task_id]
(query, count) = mod_re.subn('The starting battery is \\d+ units', f'The starting battery is {budget} units', task['query'], count=1)
if count != 1:
raise ValueError(f'Robot {task_id} public budget sentence changed upstream')
task['query'] = query.rstrip() + f' Use locate_order_zone for the first pending listed order before cold search. Search is target-scoped: unrelated cabinets do not reveal their stock group or parcel identities, and at most one previously unseen stock binding can be authorized in this episode. The external business-tool limit is {32} calls, including rejected calls. Prefer execute_transfer_attempt once explicit route handles and an exact profile candidate are available. Benchmark credit is awarded only for fully closed work orders; partial milestones are diagnostics.'
task['budget'] = {'battery_units': budget, 'business_call_limit': 32, 'new_stock_binding_limit': 1}
task['scoring'] = {'complete_work_order_points': 25.0, 'partial_milestones': 'diagnostic_only'}
return task
def fn_episode_spec_3(task_id):
return ext_deepcopy(fn_episode_spec_4(task_id))
def fn_checkpoint_state_2(adapter, state_dir):
ledger = adapter.export_observation_ledger()
path = fn__ledger_path(ext_Path(state_dir))
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(mod_json.dumps(ledger, indent=2, sort_keys=True, ensure_ascii=True) + '\n', encoding='utf-8')
return {'ledger': ledger, 'sha256': fn_digest(ledger), 'path': str(path.resolve())}
def fn_adapter_for(case, state_dir, episode_id, *, observation_ledger=None, rule_epoch_override=None, public_policy_version_override=None):
(case, state_dir) = (ext_Path(case).resolve(), ext_Path(state_dir).resolve())
config = fn_read_3(case / 'private/config.json')
episode = fn__episode_3(config, episode_id)
sm = fn_open_state(case / 'private/world', state_dir)
facility = sm.get_entity('facility', config['facility_id'], id_field='facility_id')
if facility is None or facility.get('experience_active_episode') != episode_id:
raise ValueError('episode has not been prepared in this persistent state')
rule_epoch = rule_epoch_override or episode['rule_epoch']
private_version = public_policy_version_override or episode['public_policy_version']
rule_table = config['pre_rule_table'] if rule_epoch == 'pre' else config['post_rule_table']
adapter = RobotExperienceStreamAdapter(sm, robot_id=config['robot_id'], handle_seed=config['handle_seed'], task_ids=[row['task_id'] for row in episode['orders']], rubric=fn__rubric(config, episode), rule_table=rule_table, active_object_ids={row['object_id'] for row in episode['orders']}, public_policy_version=private_version, expected_rule_epoch=rule_epoch, facility_id=config['facility_id'])
adapter._construction_environment = str((case / 'private/world/environment').resolve())
ledger = observation_ledger
ledger_path = fn__ledger_path(state_dir)
if ledger is None and ledger_path.is_file():
ledger = fn_read_3(ledger_path)
if ledger is not None:
adapter.import_observation_ledger(ledger)
return adapter
def fn_retain_observed_identities(adapter, ledger, task_id):
"""Past visibility survives relocation; current action permissions do not change."""
requested = ledger.get('object_handles', [])
if not isinstance(requested, list) or not all((isinstance(h, str) for h in requested)):
raise ValueError('object_handles must be a list of strings')
position = int(task_id[1:])
prefix = {f'T{i:02d}' for i in range(1, position + 1)}
objects = {row['object_id'] for row in adapter._all('object_item')}
past = {row.get('object_id') for row in adapter._all('service_task') if row.get('experience_episode_id') in prefix}
allowed = {adapter._handle('object', key) for key in objects & past}
if not set(requested) <= allowed:
raise ValueError('Observed identity must belong to an existing prefix object')
adapter.issued_object_handles.update(requested)
def fn_public_retained_source_evidence(evidence):
"""Project retained source evidence onto fields safe for the learner."""
return {key: str(evidence[key]) for key in ('station', 'storage_handle', 'zone') if isinstance(evidence.get(key), str)}
def fn_read_2(path):
return fn_read_4(path)
def fn__logical_boundary_time(state):
timestamps = []
for rows in state.values():
for row in rows:
for field in ('created_at', 'updated_at', 'completed_at', 'released_at', 'accepted_at'):
value = row.get(field)
if not isinstance(value, str) or not value:
continue
parsed = ext_datetime.fromisoformat(value.replace('Z', '+00:00'))
timestamps.append(parsed.replace(tzinfo=ext_timezone.utc) if parsed.tzinfo is None else parsed)
if not timestamps:
raise ValueError('Robot boundary requires a timestamped source state')
return (max(timestamps).astimezone(ext_timezone.utc) + ext_timedelta(seconds=1)).strftime('%Y-%m-%dT%H:%M:%SZ')
def fn_semantic_state(sm):
return {table: sorted((ext_deepcopy(row) for row in sm.list_entities(table)), key=lambda row: str(row.get(DATA_ID_FIELDS[table], ''))) for table in DATA_STATE_TABLES}
def fn_advance_boundary(sm, config, previous_episode_id, next_episode_id):
"""Advance persistent state without announcing the private rule epoch."""
facility = sm.get_entity('facility', config['facility_id'], id_field='facility_id')
if facility is None:
raise ValueError('stream facility is missing')
if facility.get('experience_active_episode') == next_episode_id:
return fn__repeat_boundary(sm, config, previous_episode_id, next_episode_id)
before_policy = fn__policy_state(sm, config)
raw = fn_advance_boundary_2(sm, config, previous_episode_id, next_episode_id)
after_policy = fn__policy_state(sm, config)
drift = None
if raw.get('drift') is not None:
drift = fn__drift_receipt(config, before_policy, after_policy, duplicate=False)
raw['drift'] = drift
raw['activation'] = fn_activation_receipt(fn__episode_4(config, next_episode_id))
raw['schema'] = 'robot-experience-stream-boundary/v4'
raw['public_notice'] = fn__public_notice(config, previous_episode_id, raw['activation']['event_id'])
fn_public_boundary_projection(raw)
return raw
def fn_public_task_3(task_id):
task = fn_public_task_4(task_id)
if task_id != 'T09':
by_index = {row['order_index']: row['work_order'] for row in fn_episode_spec_6(task_id)['orders']}
indices = DATA_ORDER_INDEX_BLUEPRINT_2.get(task_id, tuple(sorted(by_index)))
ordered = [by_index[index] for index in indices]
marker = '\n\nUse the work-order and local observation tools'
(heading, remainder) = task['query'].split(marker, 1)
task['work_orders'] = ordered
task['query'] = heading.split('\n- ', 1)[0] + '\n- ' + '\n- '.join(ordered) + marker + remainder
if task_id == 'T01':
before = task['query']
task['query'] = before.replace(f'The starting battery is {93} units', f'The starting battery is {72} units')
if task['query'] == before:
raise ValueError('Robot T01 public budget sentence changed upstream')
return task
def fn_episode_spec_4(task_id):
spec = fn_episode_spec_5(task_id)
spec['budget'] = DATA_EPISODE_BUDGETS_2[task_id]
return spec
def fn__ledger_path(state_dir):
return ext_Path(state_dir) / 'observation-ledger.json'
def fn_digest(value):
return fn_digest_3(value)
def fn_read_3(path):
return fn_read_2(path)
def fn__episode_3(config, episode_id):
row = next((item for item in config['episodes'] if item['episode_id'] == episode_id), None)
if row is None:
raise ValueError(f'unknown episode: {episode_id}')
return row
def fn__rubric(config, episode):
return {'version': 'robot-experience-rubric/v1', 'policy_version': 'PV-18', 'home_room_id': config['home_room_id'], 'orders': [{'work_order': row['work_order'], 'task_id': row['task_id'], 'object_id': row['object_id'], 'destination_room_id': row['target']} for row in episode['orders']]}
def fn_episode_spec_5(task_id):
return fn_episode_spec_6(task_id)
def fn_load_config_2():
config = fn_load_config_3()
config['episode_budgets']['T01'] = 72
return config
def fn_digest_2(value):
return mod_hashlib.sha256(fn__canonical(value)).hexdigest()
def fn_read_4(path):
return fn_read_5(path)
def fn__repeat_boundary(sm, config, previous_episode_id, next_episode_id):
if previous_episode_id != next_episode_id:
raise ValueError('an idempotent replay must name the active episode')
episode = fn__episode_4(config, next_episode_id)
activation = fn_activation_receipt(episode)
before_state = fn_semantic_state(sm)
before_policy = fn__policy_state(sm, config)
drift = None
if next_episode_id == config['drift']['effective_episode_id']:
prior_policy = {**before_policy, 'experience_rule_epoch': config['drift']['from_rule_epoch'], 'experience_policy_version': config['drift']['from_policy_version'], 'experience_policy_event_seq': before_policy['experience_policy_event_seq'] - 1}
if prior_policy['experience_policy_event_seq'] < 0:
raise ValueError('drift event sequence is inconsistent')
drift = fn__drift_receipt(config, prior_policy, before_policy, duplicate=True)
receipt = {'schema': 'robot-experience-stream-boundary/v4', 'previous_episode_id': previous_episode_id, 'next_episode_id': next_episode_id, 'already_prepared': True, 'before_sha256': fn__digest(before_state), 'after_sha256': fn__digest(before_state), 'closed': {'closed_orders': [], 'cancelled_assignments': []}, 'supervisor_recovery': {'performed': False}, 'drift': drift, 'activation': activation, 'public_notice': fn__public_notice(config, None if next_episode_id == config['episodes'][0]['episode_id'] else 'prior', activation['event_id']), 'changes': [], 'preservation_contract': {'world_reset': False, 'opened_storage_preserved': True, 'completed_records_preserved': True, 'unrelated_object_locations_preserved': True, 'payload_parking_is_not_delivery': True}}
fn_public_boundary_projection(receipt)
return receipt
def fn__policy_state(sm, config):
facility = sm.get_entity('facility', config['facility_id'], id_field='facility_id')
if facility is None:
raise ValueError('stream facility is missing')
return {'experience_rule_epoch': facility.get('experience_rule_epoch'), 'experience_policy_version': facility.get('experience_policy_version'), 'experience_policy_event_seq': int(facility.get('experience_policy_event_seq', 0))}
def fn_advance_boundary_2(sm, config, previous_episode_id, next_episode_id):
"""Close one episode and activate the next without resetting world state."""
previous_episode = fn__episode_5(config, previous_episode_id)
next_episode = fn__episode_5(config, next_episode_id)
if next_episode is None:
raise ValueError('unknown next episode')
if previous_episode_id is not None and previous_episode is None:
raise ValueError('unknown previous episode')
if previous_episode is not None:
expected = previous_episode['next_episode_id']
if expected != next_episode_id:
raise ValueError('episode boundary is not sequential')
before = fn_semantic_state_2(sm)
closed = fn__close_previous(sm, previous_episode)
recovery = fn__recover_robot(sm, budget=config['budget'])
drift = fn__apply_drift(sm, config, next_episode_id)
activation = fn__activate_next(sm, config, next_episode)
after = fn_semantic_state_2(sm)
changes = fn_state_diff(before, after)
notice = f"Episode {next_episode_id} is active. The supervisor placed the robot at the service hub with {config['budget']} battery units and activated the new work orders."
if previous_episode_id is not None:
notice += ' Any payload left from the prior episode was parked at its actual terminal room without delivery credit; other world state and completed records were preserved.'
if drift is not None:
notice += ' ' + drift['public_notice']
return {'schema': 'robot-experience-stream-boundary/v2', 'previous_episode_id': previous_episode_id, 'next_episode_id': next_episode_id, 'before_sha256': fn__digest_2(before), 'after_sha256': fn__digest_2(after), 'closed': closed, 'supervisor_recovery': recovery, 'drift': drift, 'activation': activation, 'public_notice': notice, 'changes': changes, 'preservation_contract': {'world_reset': False, 'opened_storage_preserved': True, 'completed_records_preserved': True, 'unrelated_object_locations_preserved': True, 'payload_parking_is_not_delivery': True}}
def fn__drift_receipt(config, before, after, *, duplicate):
drift = config['drift']
if after != {'experience_rule_epoch': drift['to_rule_epoch'], 'experience_policy_version': drift['to_policy_version'], 'experience_policy_event_seq': before['experience_policy_event_seq'] + 1}:
raise ValueError('drift receipt does not match the expected policy transition')
return {'schema': 'robot-experience-drift-application/v1', 'event_id': fn__drift_event_id(config), 'event_type': 'external_policy_update', 'receipt_kind': 'duplicate_application' if duplicate else 'first_application', 'status': 'already_applied' if duplicate else 'applied', 'applied_now': not duplicate, 'duplicate_noop': duplicate, 'exactly_once': True, 'application_before_sha256': fn__digest(before), 'application_after_sha256': fn__digest(after), 'call_before_sha256': fn__digest(after if duplicate else before), 'call_after_sha256': fn__digest(after), 'state_unchanged': duplicate, 'effective_episode_id': drift['effective_episode_id'], 'publicly_announced': False, 'policy_version_before': drift['from_policy_version'], 'policy_version_after': drift['to_policy_version'], 'changed_cell_count': len(drift['changed_cells'])}
def fn_activation_receipt(episode):
"""Project an active private episode into the exact public receipt."""
orders = episode.get('orders')
if not isinstance(episode.get('episode_id'), str) or not episode['episode_id']:
raise ValueError('episode must define a non-empty episode_id')
if not isinstance(orders, list) or not orders:
raise ValueError('episode must define active work orders')
work_orders = [row.get('work_order') for row in orders if isinstance(row, dict)]
if len(work_orders) != len(orders) or any((not isinstance(value, str) or not value for value in work_orders)) or len(set(work_orders)) != len(work_orders):
raise ValueError('episode work orders must be unique non-empty strings')
return {'schema': 'robot-experience-activation-public/v4', 'event_type': 'work_order_activation', 'event_id': fn_opaque_event_id(work_orders), 'work_orders': sorted(work_orders), 'created_object_ids': [], 'world_reset': False}
def fn__episode_4(config, episode_id):
episode = next((row for row in config.get('episodes', []) if row.get('episode_id') == episode_id), None)
if episode is None:
raise ValueError('unknown next episode')
return episode
def fn__public_notice(config, previous_episode_id, event_id):
notice = f"Work-order event {event_id} is active. The supervisor placed the robot at the service hub with {config['budget']} battery units and activated the new work orders."
if previous_episode_id is not None:
notice += ' Any payload left from the prior episode was parked at its actual terminal room without delivery credit; other business state and completed records were preserved.'
return notice
def fn_public_boundary_projection(receipt):
"""Return only the boundary fields admitted to a learner/provider request."""
activation = receipt.get('activation')
notice = receipt.get('public_notice')
if not isinstance(activation, dict) or not isinstance(notice, str):
raise ValueError('boundary receipt is missing its public fields')
projection = {'schema': 'robot-experience-stream-boundary-public/v2', 'event_id': activation.get('event_id'), 'activation': ext_deepcopy(activation), 'public_notice': notice}
encoded = mod_json.dumps(projection, sort_keys=True, ensure_ascii=True).casefold()
forbidden = ('pv-', 'policy_version', 'rule_epoch', 'drift', 'policy update', 'transfer policy', 'changed cell', 'rule change', 'environment change', 'prior compatibility', 'selective revision')
if any((token in encoded for token in forbidden)):
raise ValueError('learner-visible boundary exposes a private transition marker')
fn_assert_opaque_learner_surface(projection, surface='public boundary')
return projection
def fn_public_task_4(task_id):
task = fn_public_task_5(task_id)
if task_id != 'T09':
by_index = {row['order_index']: row['work_order'] for row in fn_episode_spec_6(task_id)['orders']}
indices = DATA_ORDER_INDEX_BLUEPRINT_3.get(task_id, tuple(sorted(by_index)))
ordered = [by_index[index] for index in indices]
marker = '\n\nUse the work-order and local observation tools'
(heading, remainder) = task['query'].split(marker, 1)
task['work_orders'] = ordered
task['query'] = heading.split('\n- ', 1)[0] + '\n- ' + '\n- '.join(ordered) + marker + remainder
sentence = ' Process the work orders in the listed priority order: do not start a later order until every earlier listed order has been fully closed.'
if sentence.strip() not in task['query']:
task['query'] = task['query'].rstrip() + sentence
task['completion'] = {'mode': 'ordered_independent', 'subset_allowed': True, 'priority_order': 'listed', 'started_item_must_close': True, 'verification_required': True}
return task
def fn_episode_spec_6(task_id):
return fn_episode_spec_2(task_id)
def fn_digest_3(value):
return fn_digest_4(value)
def fn__error(code, message, data=None):
return {'status': 'error', 'data': data or {}, 'message': f'{code}: {message}'}
def fn__code(result):
message = str(result.get('message') or '')
return message.split(':', 1)[0] if ':' in message else 'OK' if result.get('status') == 'success' else 'ERROR'
def fn__success(data, message='OK'):
return {'status': 'success', 'data': data, 'message': message}
def fn__timestamp():
return ext_datetime.now(ext_timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ')
def fn_load_config_3():
config = fn_load_config()
config['episode_budgets']['T01'] = 93
return config
def fn__canonical(value):
return mod_json.dumps(value, ensure_ascii=True, sort_keys=True, separators=(',', ':'), allow_nan=False).encode('ascii')
def fn__validate_snapshot_extensions(snapshot):
if not isinstance(snapshot, dict) or set(snapshot) != DATA__SNAPSHOT_FIELDS:
raise ValueError('Robot v8 snapshot fields are incomplete or unexpected')
if type(snapshot.get('business_call_count')) is not int:
raise ValueError('Robot v8 business_call_count must be an integer')
if snapshot['business_call_count'] < 0:
raise ValueError('Robot v8 business_call_count must be non-negative')
authorized = snapshot.get('authorized_new_stock_group')
if authorized is not None and (not isinstance(authorized, str) or not authorized):
raise ValueError('Robot v8 authorized stock group must be null or a string')
provisional = snapshot.get('provisional_stock_groups')
verified = snapshot.get('verified_stock_groups')
if not isinstance(provisional, dict):
raise ValueError('Robot v8 provisional_stock_groups must be an object')
if not isinstance(verified, dict):
raise ValueError('Robot v8 verified_stock_groups must be an object')
if len(provisional) > 1:
raise ValueError('Robot v8 provisional stock bindings exceed the task limit')
if set(provisional) & set(verified):
raise ValueError('Robot v8 stock evidence cannot be both provisional and verified')
required = {'task_id', 'station', 'storage_handle', 'zone'}
for (stock_group, evidence) in {**verified, **provisional}.items():
if not isinstance(stock_group, str) or not stock_group:
raise ValueError('Robot v8 verified stock-group keys must be strings')
if not isinstance(evidence, dict) or set(evidence) != required:
raise ValueError('Robot v8 verified stock evidence is malformed')
if any((not isinstance(evidence[field], str) or not evidence[field] for field in required)):
raise ValueError('Robot v8 verified stock evidence values must be strings')
if evidence['task_id'] not in DATA_TASK_IDS:
raise ValueError('Robot v8 verified stock evidence has an invalid task')
if any((evidence['task_id'] != snapshot.get('task_id') for evidence in provisional.values())):
raise ValueError('Robot v8 provisional stock evidence crossed a task boundary')
visible_handles = snapshot.get('visible_object_handles')
if not isinstance(visible_handles, list) or any((not isinstance(handle, str) or not handle for handle in visible_handles)) or len(visible_handles) != len(set(visible_handles)):
raise ValueError('Robot v8 visible object handles must be unique strings')
def fn_read_5(path):
return mod_json.loads(ext_Path(path).read_text(encoding='utf-8'))
def fn__digest(value):
return mod_hashlib.sha256(mod_json.dumps(value, sort_keys=True, ensure_ascii=True, separators=(',', ':'), allow_nan=False).encode('ascii')).hexdigest()
def fn__episode_5(config, episode_id):
if episode_id is None:
return None
return next((row for row in config['episodes'] if row['episode_id'] == episode_id), None)
def fn_semantic_state_2(sm):
return {table: sorted((ext_deepcopy(row) for row in sm.list_entities(table)), key=lambda row: str(row.get(DATA_ID_FIELDS[table], ''))) for table in DATA_STATE_TABLES}
def fn__close_previous(sm, episode):
if episode is None:
return {'closed_orders': [], 'cancelled_assignments': []}
(closed, cancelled) = ([], [])
task_ids = {row['task_id'] for row in episode['orders']}
for spec in episode['orders']:
task = sm.get_entity('service_task', spec['task_id'], id_field='task_id')
obj = sm.get_entity('object_item', spec['object_id'], id_field='object_id')
if task is None or obj is None:
raise ValueError('previous episode records are missing')
task_changes = {'experience_activation_state': 'closed', 'updated_at': fn__boundary_timestamp()}
if task.get('status') != 'completed':
task_changes.update(status='paused', assigned_robot_id=None, failure_reason='episode_closed_by_supervisor')
fn__update(sm, 'service_task', spec['task_id'], task_changes)
fn__update(sm, 'object_item', spec['object_id'], {'experience_activation_state': 'closed', 'updated_at': fn__boundary_timestamp()})
closed.append(spec['work_order'])
for assignment in sm.list_entities('task_assignment'):
if assignment.get('task_id') in task_ids and assignment.get('status') == 'active':
fn__update(sm, 'task_assignment', assignment['assignment_id'], {'status': 'cancelled', 'completed_at': fn__boundary_timestamp()})
cancelled.append(assignment['assignment_id'])
return {'closed_orders': sorted(closed), 'cancelled_assignments': sorted(cancelled)}
def fn__recover_robot(sm, *, budget):
robot = sm.get_entity('robot_unit', 'robot-porter-atlas-north-one', id_field='robot_id')
if robot is None:
raise ValueError('controlled robot is missing')
parked = None
payload_id = robot.get('payload_object_id')
if payload_id is not None:
payload = sm.get_entity('object_item', payload_id, id_field='object_id')
if payload is None or payload.get('held_by_robot_id') != 'robot-porter-atlas-north-one':
raise ValueError('robot payload custody is inconsistent at the boundary')
parked = {'object_id': payload_id, 'room_id': robot.get('current_room_id'), 'delivery_receipt_created': False}
fn__update(sm, 'object_item', payload_id, {'current_room_id': robot.get('current_room_id'), 'held_by_robot_id': None, 'handling_state': 'stored', 'updated_at': fn__boundary_timestamp()})
before = {key: ext_deepcopy(robot.get(key)) for key in ('current_room_id', 'battery_percent', 'payload_object_id', 'operational_status', 'active_task_id')}
fn__update(sm, 'robot_unit', 'robot-porter-atlas-north-one', {'current_room_id': 'room-atlas-north-level-one-central-return-sort', 'battery_percent': budget, 'payload_object_id': None, 'operational_status': 'available', 'active_task_id': None, 'updated_at': fn__boundary_timestamp()})
after_row = sm.get_entity('robot_unit', 'robot-porter-atlas-north-one', id_field='robot_id')
return {'before': before, 'after': {key: ext_deepcopy(after_row.get(key)) for key in before}, 'parked_payload': parked}
def fn__apply_drift(sm, config, next_episode_id):
drift = config['drift']
if next_episode_id != drift['effective_episode_id']:
return None
facility = sm.get_entity('facility', config['facility_id'], id_field='facility_id')
if facility is None:
raise ValueError('stream facility is missing')
if facility.get('experience_rule_epoch') != drift['from_rule_epoch']:
raise ValueError('drift must be applied exactly once from the pre-drift epoch')
before = {'experience_rule_epoch': facility.get('experience_rule_epoch'), 'experience_policy_version': facility.get('experience_policy_version')}
fn__update(sm, 'facility', config['facility_id'], {'experience_rule_epoch': 'post', 'experience_policy_version': 'PV-19', 'experience_policy_event_seq': int(facility.get('experience_policy_event_seq', 0)) + 1})
return {'event_type': 'external_policy_update', 'effective_episode_id': next_episode_id, 'publicly_announced': True, 'policy_version_before': before['experience_policy_version'], 'policy_version_after': 'PV-19', 'changed_cell_count': len(drift['changed_cells']), 'public_notice': f"Transfer policy {'PV-19'} is effective for {next_episode_id}. Current work-order records show the active policy version; prior compatibility experience may need selective revision."}
def fn__activate_next(sm, config, episode):
facility = sm.get_entity('facility', config['facility_id'], id_field='facility_id')
if facility is None:
raise ValueError('stream facility is missing')
if facility.get('experience_rule_epoch') != episode['rule_epoch']:
raise ValueError('next episode expects a different rule epoch')
activated = []
for spec in episode['orders']:
task = sm.get_entity('service_task', spec['task_id'], id_field='task_id')
obj = sm.get_entity('object_item', spec['object_id'], id_field='object_id')
if task is None or obj is None:
raise ValueError('next episode records are missing')
if task.get('experience_activation_state') != 'inactive':
raise ValueError('next service task is not inactive')
if obj.get('experience_activation_state') != 'inactive':
raise ValueError('next parcel is not inactive')
fn__update(sm, 'service_task', spec['task_id'], {'experience_activation_state': 'active', 'updated_at': fn__boundary_timestamp()})
fn__update(sm, 'object_item', spec['object_id'], {'experience_activation_state': 'active', 'updated_at': fn__boundary_timestamp()})
activated.append(spec['work_order'])
fn__update(sm, 'facility', config['facility_id'], {'experience_active_episode': episode['episode_id']})
return {'schema': 'robot-experience-activation-public/v2', 'event_type': 'work_order_activation', 'episode_id': episode['episode_id'], 'work_orders': sorted(activated), 'policy_version': episode['public_policy_version'], 'created_object_ids': [], 'world_reset': False}
def fn_state_diff(before, after):
changes = []
for table in DATA_STATE_TABLES:
(left, right) = (fn__row_index(before, table), fn__row_index(after, table))
for identifier in sorted(set(left) | set(right)):
if left.get(identifier) != right.get(identifier):
changes.append({'table': table, 'id': identifier, 'before': ext_deepcopy(left.get(identifier)), 'after': ext_deepcopy(right.get(identifier))})
return changes
def fn__digest_2(value):
payload = mod_json.dumps(value, sort_keys=True, ensure_ascii=True, separators=(',', ':')).encode('utf-8')
return mod_hashlib.sha256(payload).hexdigest()
def fn__drift_event_id(config):
drift = config['drift']
payload = {'schema': 'robot-experience-drift-application/v1', 'facility_id': config['facility_id'], 'from_rule_epoch': drift['from_rule_epoch'], 'to_rule_epoch': drift['to_rule_epoch'], 'from_policy_version': drift['from_policy_version'], 'to_policy_version': drift['to_policy_version'], 'changed_cells': drift['changed_cells']}
return 'evt-' + fn__digest(payload)[:20]
def fn_opaque_event_id(work_orders):
"""Derive a stable, non-sequential public ID from the public order set."""
if not isinstance(work_orders, list) or not work_orders or any((not isinstance(value, str) or not value for value in work_orders)) or (len(set(work_orders)) != len(work_orders)):
raise ValueError('opaque event IDs require unique non-empty work orders')
payload = mod_json.dumps(['robot-final-public-event/v1', *sorted(work_orders)], ensure_ascii=True, separators=(',', ':')).encode('ascii')
return 'evt-' + mod_hashlib.sha256(payload).hexdigest()[:20]
def fn_assert_opaque_learner_surface(value, *, surface):
hits = fn_leakage_hits(value)
present = {name: rows for (name, rows) in hits.items() if rows}
if present:
raise ValueError(f'{surface} exposes private lifecycle metadata: {present}')
try:
ext_assert_hard_public_projection(value)
except ValueError as error:
raise ValueError(f'{surface} exposes private lifecycle metadata: {error}') from error
def fn_public_task_5(task_id):
task = fn_public_task_6(task_id)
if task_id == 'T01':
before = task['query']
task['query'] = before.replace('The starting battery is 98 units', f'The starting battery is {93} units')
if task['query'] == before:
raise ValueError('Robot T01 public budget sentence changed upstream')
return task
def fn_digest_4(value):
return mod_hashlib.sha256(mod_json.dumps(value, sort_keys=True, separators=(',', ':'), ensure_ascii=True).encode()).hexdigest()
def fn__validate_snapshot_extensions_2(snapshot):
if not isinstance(snapshot, dict) or set(snapshot) != DATA__SNAPSHOT_FIELDS_2:
raise ValueError('Robot v7 snapshot fields are incomplete or unexpected')
evidence = snapshot.get('transfer_evidence')
revalidation = snapshot.get('rule_revalidation')
if not isinstance(evidence, dict) or not isinstance(revalidation, dict):
raise ValueError('Robot v7 snapshot extensions must be objects')
profiles = set(fn__profiles())
for (cell, row) in evidence.items():
(handling, intake) = fn__validate_cell(cell)
if not isinstance(row, dict) or set(row) != DATA__TRANSFER_EVIDENCE_FIELDS:
raise ValueError(f'Robot v7 transfer evidence is malformed for {cell}')
if any((not isinstance(row[field], str) or not row[field] for field in row)):
raise ValueError(f'Robot v7 transfer evidence values must be strings for {cell}')
if row['task_id'] not in DATA_TASK_IDS or row['cell'] != cell:
raise ValueError(f'Robot v7 transfer evidence identity mismatch for {cell}')
if row['handling_code'] != handling or row['intake_code'] != intake:
raise ValueError(f'Robot v7 transfer evidence crosses exact cells for {cell}')
if row['profile'] not in profiles:
raise ValueError(f'Robot v7 transfer evidence profile is invalid for {cell}')
for (cell, state) in revalidation.items():
fn__validate_cell(cell)
if cell not in evidence or state not in DATA_REVALIDATION_STATES:
raise ValueError(f'Robot v7 revalidation state is invalid for {cell}')
def fn__boundary_timestamp():
return _BOUNDARY_TIME.get()
def fn__update(sm, table, identifier, changes):
sm.update_entity(table, identifier, changes, id_field=DATA_ID_FIELDS[table])
def fn__row_index(state, table):
field = DATA_ID_FIELDS[table]
return {str(row[field]): row for row in state[table]}
def fn_leakage_hits(value):
"""Report private lifecycle labels in a learner/provider-visible value."""
encoded = mod_json.dumps(value, ensure_ascii=True, sort_keys=True, allow_nan=False)
private_keys: set[str] = set()
def visit(item):
if isinstance(item, dict):
private_keys.update((str(key) for key in item if key in DATA__PRIVATE_KEYS))
for nested in item.values():
visit(nested)
elif isinstance(item, list):
for nested in item:
visit(nested)
visit(value)
return {'private_episode_ids': sorted(set(_re.compile('(?<![A-Za-z0-9])T(?:0[1-9]|1[0-6])(?![A-Za-z0-9]|:[0-5][0-9])', 34).findall(encoded))), 'arm_labels': sorted(set(_re.compile('(?<![A-Za-z0-9])(?:native|reset|reflect)\\d{2}(?![A-Za-z0-9])', 34).findall(encoded))), 'run_paths': sorted(set(_re.compile('(?:benchmark_outputs[/\\\\]robot|robot-final-v\\d+[/\\\\]20\\d{6}-\\d{6})', 34).findall(encoded))), 'private_keys': sorted(private_keys)}
def fn_public_task_6(task_id):
if task_id not in DATA_TASK_IDS:
raise ValueError(f'unknown Robot stream task: {task_id}')
return mod_json.loads((CASE_DIR / 'data/world' / f'public/tasks/{task_id}.json').read_text(encoding='utf-8'))
def fn__validate_rule_table(value):
table = ext_deepcopy(value if value is not None else fn_default_rule_table())
expected = {f'{handling}:{intake}' for handling in DATA_HANDLING_CODES for intake in DATA_INTAKE_CODES}
if set(table) != expected or any((profile not in DATA_TRANSFER_PROFILES for profile in table.values())):
raise ValueError('rule_table must define every handling:intake cell')
return table
def fn__validate_cell(cell):
if not isinstance(cell, str) or cell.count(':') != 1:
raise ValueError('transfer evidence key must be an exact handling:intake cell')
(handling, intake) = cell.split(':', 1)
if not handling or not intake:
raise ValueError('transfer evidence cell components must be non-empty')
return (handling, intake)
def fn_default_rule_table():
"""Return the private finite relation used by the first candidate."""
handling_rank = (2, 0, 3, 1)
intake_rank = (1, 3, 0, 2)
return {f'{handling}:{intake}': DATA_TRANSFER_PROFILES[(handling_rank[handling_index] + intake_rank[intake_index]) % len(DATA_TRANSFER_PROFILES)] for (handling_index, handling) in enumerate(DATA_HANDLING_CODES) for (intake_index, intake) in enumerate(DATA_INTAKE_CODES)}
def fn__strip_volatile(value):
if isinstance(value, dict):
return {key: fn__strip_volatile(item) for (key, item) in sorted(value.items()) if not key.endswith('_at')}
if isinstance(value, list):
return [fn__strip_volatile(item) for item in value]
return ext_deepcopy(value)
class World:
def __init__(self):
self.runtime = RobotSourceScopeRuntime()
self.t01_boundary = self.runtime.activate_task('T01')
self.t01_pending = True
def snapshot(self):
return {'schema': 'rescopebench-robot-rule-formal-world/v6', 'runtime': self.runtime.snapshot(), 't01_boundary': ext_deepcopy(self.t01_boundary), 't01_pending': self.t01_pending}
def restore(self, snapshot):
if not isinstance(snapshot, dict) or set(snapshot) != {'schema', 'runtime', 't01_boundary', 't01_pending'}:
raise ValueError('invalid Robot rule-v9 formal snapshot fields')
if snapshot.get('schema') != 'rescopebench-robot-rule-formal-world/v6':
raise ValueError('unsupported Robot rule-v9 formal snapshot')
if not isinstance(snapshot.get('t01_pending'), bool):
raise ValueError('Robot rule-v9 pending flag must be boolean')
self.runtime.restore(ext_deepcopy(snapshot['runtime']))
self.t01_boundary = ext_deepcopy(snapshot['t01_boundary'])
self.t01_pending = snapshot['t01_pending']
if self.snapshot() != snapshot:
raise ValueError('Robot rule-v9 formal snapshot did not round trip')
def activate(self, task_id):
if task_id == 'T01' and self.t01_pending:
self.t01_pending = False
return ext_deepcopy(self.t01_boundary)
self.t01_pending = False
return self.runtime.activate_task(task_id)
def close(self):
self.runtime.close()
class RobotSourceScopeRuntime:
def _stage_retained_source(self, arguments):
result = self._robot_local_rule_runtime_stage_retained_source(arguments)
order = self._task_order(arguments.get('work_order', ''))
return fn_scoped_staging_result(result, (order or {}).get('stock_group'))
def _validate_restored_evidence_against_world(self):
try:
return self._robot_source_runtime_validate_restored_evidence_against_world()
except ValueError as error:
if str(error) != 'Robot v8 replacement state lacks a stale rejection':
raise
original = self.rule_revalidation
self.rule_revalidation = {cell: 'awaiting_exact_stale' if state == 'awaiting_replacement' else state for (cell, state) in original.items()}
try:
return self._robot_source_runtime_validate_restored_evidence_against_world()
finally:
self.rule_revalidation = original
def __init__(self, *args, **kwargs):
self._restoring_source = False
self._robot_route_runtime_init(*args, **kwargs)
def _task_order(self, work_order):
if self.current_task_id is None:
return None
return next((row for row in fn_episode_spec(self.current_task_id)['orders'] if row['work_order'] == work_order), None)
def activate_task(self, task_id):
receipt = self._robot_route_runtime_activate_task(task_id)
if int(task_id[1:]) >= 9:
with self.isolated_raw():
self._relocate_stock()
return receipt
def _relocate_stock(self):
(adapter, moves) = (self.adapter, fn_destinations())
facility = next((row for row in adapter._all('facility') if row['facility_id'] == mod_json.loads((CASE_DIR / 'data/assets/config.json').read_text())['facility_id']))
if facility.get('stock_relocation_version') == 'robot-stock-relocation-evolution-v9':
return
rooms = {row['room_id']: ext_deepcopy(row) for row in adapter._all('room')}
stores = {unit['stock_group']: (room['room_id'], ext_deepcopy(unit)) for room in rooms.values() for unit in room.get('storage_units', [])}
targets = {}
for (group, destination) in moves.items():
(old_room, old_unit) = stores[group]
target_group = next((key for key in moves if stores[key][0] == destination))
target_unit = stores[target_group][1]
targets[group] = (old_room, old_unit['unit_id'], destination, target_unit['unit_id'])
unit = next((row for row in rooms[destination]['storage_units'] if row['unit_id'] == target_unit['unit_id']))
unit['stock_group'] = group
unit['calibration_records'] = ext_deepcopy(old_unit['calibration_records'])
for destination in set(moves.values()):
adapter.sm.update_entity('room', destination, {'storage_units': rooms[destination]['storage_units']}, id_field='room_id')
for obj in adapter._all('object_item'):
move = targets.get(obj.get('stock_group'))
if move and obj.get('current_room_id') == move[0] and (obj.get('storage_unit_id') == move[1]) and (obj.get('handling_state') == 'stored') and (not obj.get('held_by_robot_id')):
adapter.sm.update_entity('object_item', obj['object_id'], {'current_room_id': move[2], 'storage_unit_id': move[3]}, id_field='object_id')
moved_tasks = {}
for task in adapter._all('service_task'):
target = moves.get(task.get('stock_group'))
position = task.get('experience_episode_id', '')
if target and position in {f'T{i:02}' for i in range(9, 17)}:
adapter.sm.update_entity('service_task', task['task_id'], {'source_room_id': target}, id_field='task_id')
moved_tasks[task['task_id']] = target
for step in adapter._all('task_step'):
if step['task_id'] in moved_tasks and step['step_type'] in {'navigate', 'pick'}:
adapter.sm.update_entity('task_step', step['step_id'], {'room_id': moved_tasks[step['task_id']]}, id_field='step_id')
adapter.sm.update_entity('facility', facility['facility_id'], {'stock_relocation_version': 'robot-stock-relocation-evolution-v9'}, id_field='facility_id')
def _open_storage(self, arguments):
result = self._robot_rule_successor_open_storage(arguments)
data = result.get('data', {})
if result.get('status') == 'success' and data.get('matches_pending_stock_group'):
order = self._task_order(self._first_pending_work_order() or '')
group = (order or {}).get('stock_group')
prior = self.verified_stock_groups.get(group)
robot = self.adapter._robot()
room = self.adapter._room(robot['current_room_id'])
if prior and (prior['station'] != room['name'] or prior['storage_handle'] != arguments['storage_handle']):
del self.verified_stock_groups[group]
self.authorized_new_stock_group = group
self.provisional_stock_groups[group] = {'task_id': self.current_task_id, 'station': room['name'], 'storage_handle': arguments['storage_handle'], 'zone': self._room_zone(room['room_id'])}
data['binding_retention_status'] = 'provisional_until_work_order_closed'
return result
def snapshot(self):
value = self._robot_route_runtime_snapshot()
if not self._restoring_source:
value['source_relocation_contract'] = {'case_version': 'robot-stock-relocation-evolution-v9', 'design_sha256': mod_hashlib.sha256((CASE_DIR / 'data/assets/design.json').read_bytes()).hexdigest()}
return value
def restore(self, snapshot):
value = ext_deepcopy(snapshot)
expected = {'case_version': 'robot-stock-relocation-evolution-v9', 'design_sha256': mod_hashlib.sha256((CASE_DIR / 'data/assets/design.json').read_bytes()).hexdigest()}
if value.pop('source_relocation_contract', None) != expected:
raise ValueError('Robot source relocation identity differs')
self._restoring_source = True
try:
self._robot_route_runtime_restore(value)
finally:
self._restoring_source = False
if self.snapshot() != snapshot:
raise ValueError('Robot source relocation snapshot did not round trip')
def _locate_order_zone(self, arguments):
before = self.authorized_new_stock_group
try:
response = self._robot_rule_successor_locate_order_zone(arguments)
except Exception:
self.authorized_new_stock_group = before
raise
if response.get('status') != 'success':
self.authorized_new_stock_group = before
return response
def dispatch(self, tool, arguments):
if tool == 'observe_self' and arguments == {}:
result = RobotSourceScopeRuntime._robot_rule_successor_dispatch(self, tool, arguments)
self._annotate_zone_response(tool, result)
return self._attach_call_budget(result)
if tool == 'read_work_order' and isinstance(arguments, dict) and (set(arguments) == {'work_order'}) and isinstance(arguments['work_order'], str) and (arguments['work_order'] in self._own_closeouts):
return self._attach_call_budget({'status': 'success', 'data': {'work_order': arguments['work_order'], 'confirmation_only': True, 'completion_receipt': ext_deepcopy(self._own_closeouts[arguments['work_order']])}, 'message': 'Previously committed closeout from this episode.'})
result = self._robot_rule_successor_dispatch_2(tool, arguments)
if result.get('status') == 'success' and tool in {'finalize', 'execute_transfer_attempt'}:
receipt = result
if tool == 'execute_transfer_attempt':
receipt = next((r['result'] for r in result.get('data', {}).get('steps', []) if r['tool'] == 'finalize'), None)
if receipt is not None and receipt.get('status') == 'success':
self._own_closeouts[arguments['work_order']] = ext_deepcopy(receipt)
return result
def _prepare_episode(self, task_id):
return fn_prepare_episode(CASE_DIR / 'data/world', self.state_dir, task_id)
def _revalidation_error(self, tool, context):
return None
def _listed_orders(self):
if self.current_task_id is None:
return []
return list(fn_public_task(self.current_task_id)['work_orders'])
def business_call_limit(self):
return DATA_BUSINESS_CALL_LIMITS.get(self.current_task_id, 36)
@staticmethod
def _valid_retained_arguments(arguments):
required = {'work_order', 'source_station', 'storage_handle', 'source_exit_handles'}
if set(arguments) != required:
return False
if not all((isinstance(arguments[key], str) for key in ('work_order', 'source_station', 'storage_handle'))):
return False
return all((isinstance(arguments[key], list) and len(arguments[key]) <= 16 and all((isinstance(handle, str) for handle in arguments[key])) for key in ('source_exit_handles',)))
def _attach_call_budget(self, result):
value = ext_deepcopy(result)
value['business_call_budget'] = {'used': self.business_call_count, 'limit': self.business_call_limit(), 'remaining': max(0, self.business_call_limit() - self.business_call_count)}
return value
def _first_pending_work_order(self):
if self.adapter is None:
return None
completed = {row['work_order']: bool(row['workflow_completed']) for row in self.adapter.grade()['orders']}
return next((work_order for work_order in self._listed_orders() if not completed.get(work_order, False)), None)
def _room_zone(self, room_id):
return fn__zone_for_room_id(room_id)
def _station_zone(self, station_name):
if self.adapter is None or not isinstance(station_name, str):
return None
room = next((row for row in self.adapter._all('room') if row.get('name') == station_name), None)
return self._room_zone((room or {}).get('room_id'))
def _zone_counts(self):
if self.adapter is None:
return {}
counts = {zone: 0 for zone in DATA_ZONE_ADJACENCY}
for room in self.adapter._all('room'):
zone = self._room_zone(room.get('room_id'))
if zone in counts and room.get('is_robot_accessible') is True:
counts[zone] += 1
return counts
def _annotate_zone_response(self, tool, result):
if result.get('status') != 'success' or self.adapter is None:
return
data = result.get('data') or {}
if tool == 'observe_self':
room = data.get('current_room') or {}
room['zone'] = self._station_zone(room.get('name'))
return
if tool == 'scan_current_room':
robot = self.adapter._robot() or {}
room_id = robot.get('current_room_id')
room = data.get('room') or {}
room['zone'] = self._room_zone(room_id)
for exit_row in data.get('exits', []):
edge_id = self.adapter._edge_by_handle.get(exit_row.get('exit_handle'))
edge = self.adapter._get('map_edge', 'edge_id', edge_id)
destination_id = self.adapter._edge_destination(edge or {}, room_id)
exit_row['destination_zone'] = self._room_zone(destination_id)
pending = self._task_order(self._first_pending_work_order() or '')
object_name = (pending or {}).get('object_name')
data['objects'] = [row for row in data.get('objects', []) if row.get('display_name') == object_name]
return
if tool == 'traverse_known_exit':
for key in ('previous_room', 'current_room'):
room = data.get(key)
if isinstance(room, dict):
room['zone'] = self._station_zone(room.get('name'))
for segment in data.get('segments', []):
segment_data = segment.get('data') or {}
for key in ('previous_room', 'current_room'):
room = segment_data.get(key)
if isinstance(room, dict):
room['zone'] = self._station_zone(room.get('name'))
@staticmethod
def _visible_object_handles(value):
handles: set[str] = set()
if isinstance(value, dict):
handle = value.get('object_handle')
if isinstance(handle, str):
handles.add(handle)
for child in value.values():
handles.update(RobotSourceScopeRuntime._visible_object_handles(child))
elif isinstance(value, list):
for child in value:
handles.update(RobotSourceScopeRuntime._visible_object_handles(child))
return handles
def _revoke_hidden_object_handles(self, before, result):
if self.adapter is None:
return
newly_issued = set(self.adapter.issued_object_handles) - before
visible = self._visible_object_handles(result.get('data') or {})
self.adapter.issued_object_handles.difference_update(newly_issued - visible)
def _promote_completed_binding(self, work_order):
if self.adapter is None:
return
order = self._task_order(work_order)
if order is None:
return
completed = next((bool(row.get('workflow_completed')) for row in self.adapter.grade().get('orders', []) if row.get('work_order') == work_order), False)
stock_group = order.get('stock_group')
if completed and isinstance(stock_group, str):
evidence = self.provisional_stock_groups.pop(stock_group, None)
if evidence is not None:
self.verified_stock_groups.setdefault(stock_group, evidence)
@staticmethod
def _valid_execute_arguments(arguments):
required = {'work_order', 'object_handle', 'profile', 'delivery_exit_handles', 'closeout_exit_handles'}
if set(arguments) != required:
return False
if not all((isinstance(arguments[key], str) for key in ('work_order', 'object_handle', 'profile'))):
return False
if arguments['profile'] not in fn__profiles():
return False
for key in ('delivery_exit_handles', 'closeout_exit_handles'):
value = arguments[key]
if not isinstance(value, list) or len(value) > 16 or any((not isinstance(row, str) for row in value)):
return False
return True
def _execute_transfer_attempt(self, arguments):
if not self._valid_execute_arguments(arguments):
return {'status': 'error', 'data': {}, 'message': 'INVALID_ARGUMENTS: arguments do not match the tool schema'}
work_order = arguments['work_order']
reference = {'work_order': work_order}
steps: list[dict[str, ext_Any]] = []
robot = self.adapter._robot() if self.adapter is not None else None
order = self.adapter._order(work_order) if self.adapter is not None else None
if robot is None or order is None:
return {'status': 'error', 'data': {'steps': steps}, 'message': 'WORK_ORDER_UNAVAILABLE: the requested work order is unavailable'}
if robot.get('active_task_id') is None:
assigned = self._robot_rule_successor_dispatch('assign_work_order', reference)
steps.append({'tool': 'assign_work_order', 'result': assigned})
if assigned.get('status') != 'success':
return {'status': 'error', 'data': {'steps': steps}, 'message': assigned.get('message')}
elif robot.get('active_task_id') != order['task_id']:
return {'status': 'error', 'data': {'steps': steps}, 'message': 'ROBOT_BUSY: another work order is active'}
prepared = self._robot_rule_successor_dispatch('prepare_transfer', {**reference, 'profile': arguments['profile']})
steps.append({'tool': 'prepare_transfer', 'result': prepared})
if prepared.get('status') != 'success':
return {'status': 'error', 'data': {'steps': steps}, 'message': prepared.get('message')}
robot = self.adapter._robot()
if not robot.get('payload_object_id'):
picked = self._robot_rule_successor_dispatch('pickup', {**reference, 'object_handle': arguments['object_handle']})
steps.append({'tool': 'pickup', 'result': picked})
if picked.get('status') != 'success':
return {'status': 'error', 'data': {'steps': steps}, 'message': picked.get('message')}
delivery_handles = arguments['delivery_exit_handles']
if delivery_handles:
moved = self._robot_rule_successor_dispatch('traverse_known_exit', {'exit_handles': delivery_handles})
steps.append({'tool': 'traverse_known_exit', 'result': moved})
if moved.get('status') != 'success':
return {'status': 'error', 'data': {'steps': steps}, 'message': moved.get('message')}
released = self._robot_rule_successor_dispatch('release', reference)
steps.append({'tool': 'release', 'result': released})
if released.get('status') != 'success':
recovery = None
if delivery_handles:
recovery = self._robot_rule_successor_dispatch('traverse_known_exit', {'exit_handles': list(reversed(delivery_handles))})
steps.append({'tool': 'return_to_source', 'result': recovery})
message = str(released.get('message'))
if 'EXACT_STALE_TUPLE_REQUIRED' in message:
outcome = 'exact_stale_tuple_required'
elif 'INTAKE_REJECTED' in message:
outcome = 'intake_rejected'
else:
outcome = 'release_rejected'
return {'status': 'error', 'data': {'outcome': outcome, 'returned_to_source': bool(recovery is None or recovery.get('status') == 'success'), 'steps': steps}, 'message': released.get('message')}
closeout_handles = arguments['closeout_exit_handles']
if closeout_handles:
returned = self._robot_rule_successor_dispatch('traverse_known_exit', {'exit_handles': closeout_handles})
steps.append({'tool': 'traverse_known_exit', 'result': returned})
if returned.get('status') != 'success':
return {'status': 'error', 'data': {'outcome': 'delivered_not_closed', 'steps': steps}, 'message': returned.get('message')}
finalized = self._robot_rule_successor_dispatch('finalize', reference)
steps.append({'tool': 'finalize', 'result': finalized})
if finalized.get('status') != 'success':
return {'status': 'error', 'data': {'outcome': 'delivered_not_closed', 'steps': steps}, 'message': finalized.get('message')}
self._promote_completed_binding(work_order)
return {'status': 'success', 'data': {'outcome': 'workflow_completed', 'work_order': work_order, 'steps': steps}, 'message': 'OK'}
def grade(self):
raw = self._robot_rule_successor_grade()
completed = sum((bool(row['workflow_completed']) for row in raw['orders']))
result = ext_deepcopy(raw)
result['diagnostic_partial_score'] = raw['score']
result['score'] = 25.0 * completed
result['score_contract'] = '25 points per fully closed work order'
result['partial_milestones'] = 'diagnostic_only'
return result
def _priority_error(self, tool, arguments):
if tool not in DATA_ORDERED_MUTATIONS or self.adapter is None:
return None
if not self.adapter._schema_valid(tool, arguments):
return None
work_order = arguments.get('work_order')
listed = self._listed_orders()
if work_order not in listed:
return None
completed = {row['work_order']: bool(row['workflow_completed']) for row in self.adapter.grade()['orders']}
requested_index = listed.index(work_order)
pending = next((prior for prior in listed[:requested_index] if not completed.get(prior, False)), None)
if pending is None:
return None
return self.adapter._attempt(tool, lambda : {'status': 'error', 'data': {}, 'message': f'PRIORITY_WORK_ORDER_PENDING: an earlier listed work order must be fully closed first ({pending})'})
def _release_context(self, arguments):
if self.adapter is None or not isinstance(arguments.get('work_order'), str):
return None
order = self.adapter._order(arguments['work_order'])
if order is None:
return None
(task, obj) = self.adapter._work_context(order)
if task is None or obj is None:
return None
handling = obj.get('handling_code')
intake = task.get('intake_code')
profile = task.get('transfer_profile_submitted')
if not all((isinstance(value, str) for value in (handling, intake, profile))):
return None
storage_handle = None
if isinstance(obj.get('storage_unit_id'), str):
storage_handle = self.adapter._handle('storage', obj['storage_unit_id'])
return {'task_id': self.current_task_id, 'work_order': arguments['work_order'], 'cell': f'{handling}:{intake}', 'handling_code': handling, 'intake_code': intake, 'profile': profile, 'stock_group': task.get('stock_group'), 'source_station': self.adapter._room_name(task.get('source_room_id')), 'destination_station': self.adapter._room_name(task.get('target_room_id')), 'storage_handle': storage_handle, 'object_name': obj.get('display_name')}
def _record_release(self, context, result):
if context is None:
return
cell = context['cell']
state = self.rule_revalidation.get(cell)
if state == 'awaiting_exact_stale' and result.get('status') == 'error' and ('INTAKE_REJECTED' in str(result.get('message'))) and (context['profile'] == (self.transfer_evidence.get(cell) or {}).get('profile')):
self.rule_revalidation[cell] = 'awaiting_replacement'
return
if result.get('status') != 'success':
return
self.transfer_evidence[cell] = ext_deepcopy(context)
if state in {'awaiting_exact_stale', 'awaiting_replacement'}:
self.rule_revalidation[cell] = 'validated'
@contextmanager
def isolated_raw(self):
with ext_isolated_package_namespace(CASE_DIR / 'data/world/private/world/environment'):
yield
def checkpoint(self):
if self.adapter is None:
raise RuntimeError('activate a task before checkpointing')
with self.isolated_raw():
return ext_deepcopy(fn_checkpoint_state(self.adapter, self.state_dir))
def raw_database(self):
return ext_deepcopy(self.snapshot()['database'])
def close(self):
if self._temporary is not None:
self._temporary.cleanup()
self._temporary = None
def _robot_local_rule_runtime_stage_retained_source(self, arguments):
result = self._robot_rule_successor_stage_retained_source(arguments)
order = self._task_order(arguments.get('work_order', ''))
return fn_scoped_storage_diagnostics(result, (order or {}).get('object_name'))
def _robot_source_runtime_validate_restored_evidence_against_world(self):
if self.current_task_id is None or int(self.current_task_id[1:]) < 9:
return self._robot_rule_successor_validate_restored_evidence_against_world()
fields = ('verified_stock_groups', 'transfer_evidence', 'rule_revalidation', 'provisional_stock_groups')
original = {name: getattr(self, name) for name in fields}
adapter = self.adapter
moved = fn_destinations()
old_source = {key for (key, row) in original['verified_stock_groups'].items() if key in moved and row['task_id'] < 'T09'}
old_transfer = {key for (key, row) in original['transfer_evidence'].items() if row.get('stock_group') in moved and row['task_id'] < 'T09'}
try:
for historical in (False, True):
self.verified_stock_groups = {key: row for (key, row) in original['verified_stock_groups'].items() if (key in old_source) == historical}
self.transfer_evidence = {key: row for (key, row) in original['transfer_evidence'].items() if (key in old_transfer) == historical}
self.rule_revalidation = {key: row for (key, row) in original['rule_revalidation'].items() if key in self.transfer_evidence}
self.provisional_stock_groups = {} if historical else original['provisional_stock_groups']
self.adapter = HistoricalStorageView(adapter) if historical else adapter
self._robot_rule_successor_validate_restored_evidence_against_world()
finally:
self.adapter = adapter
for (name, value) in original.items():
setattr(self, name, value)
def _robot_route_runtime_init(self, *args, **kwargs):
self._restoring_route = False
self._robot_intake_runtime_init(*args, **kwargs)
def _robot_route_runtime_activate_task(self, task_id):
receipt = self._robot_intake_runtime_activate_task(task_id)
if int(task_id[1:]) >= DATA_CONTRACT['before_task']:
with self.isolated_raw():
edge = next((row for row in self.adapter._all('map_edge') if row['edge_id'] == 'edge-atlas-north-ground-south-specimen-intake-to-level-one-central-return-sort'))
if edge['status'] != 'blocked':
self.adapter.sm.update_entity('map_edge', 'edge-atlas-north-ground-south-specimen-intake-to-level-one-central-return-sort', {'status': 'blocked'}, id_field='edge_id')
return receipt
def _robot_rule_successor_open_storage(self, arguments):
if self.adapter is None:
raise RuntimeError('activate a task before calling tools')
handle = arguments.get('storage_handle')
if not isinstance(handle, str):
return self._robot_rule_successor_dispatch('open_storage', arguments)
pending = self._task_order(self._first_pending_work_order() or '')
target_group = (pending or {}).get('stock_group')
resolved = self.adapter._storage(handle)
actual_group = resolved[1].get('stock_group') if resolved else None
authorized = actual_group in self.verified_stock_groups or (actual_group is not None and actual_group == self.authorized_new_stock_group)
if actual_group == target_group and (not authorized):
return self.adapter._attempt('open_storage', lambda : {'status': 'error', 'data': {}, 'message': 'SEARCH_SCOPE_NOT_AUTHORIZED: call locate_order_zone for the first pending listed order'})
issued_before = set(self.adapter.issued_object_handles)
result = self._robot_rule_successor_dispatch('open_storage', arguments)
if result.get('status') != 'success':
self._revoke_hidden_object_handles(issued_before, result)
return result
data = result.get('data') or {}
if actual_group != target_group:
data.pop('stock_group', None)
data.pop('calibration_records', None)
data['objects'] = []
data['matches_pending_stock_group'] = False
data['scope'] = 'current_priority_order'
self._revoke_hidden_object_handles(issued_before, result)
return result
object_name = (pending or {}).get('object_name')
data['objects'] = [row for row in data.get('objects', []) if row.get('display_name') == object_name]
data['matches_pending_stock_group'] = True
data['scope'] = 'current_priority_order'
data['binding_retention_status'] = 'retained_verified' if actual_group in self.verified_stock_groups else 'provisional_until_work_order_closed'
robot = self.adapter._robot() or {}
room = self.adapter._room(robot.get('current_room_id')) or {}
if isinstance(actual_group, str):
evidence = {'task_id': str(self.current_task_id), 'station': str(room.get('name')), 'storage_handle': handle, 'zone': str(self._room_zone(room.get('room_id')))}
if actual_group in self.verified_stock_groups:
self.verified_stock_groups.setdefault(actual_group, evidence)
else:
self.provisional_stock_groups.setdefault(actual_group, evidence)
self._revoke_hidden_object_handles(issued_before, result)
return result
def _robot_route_runtime_snapshot(self):
value = self._robot_intake_runtime_snapshot()
if not self._restoring_route:
value['route_migration_contract'] = ext_deepcopy(DATA_CONTRACT)
return value
def _robot_route_runtime_restore(self, snapshot):
value = ext_deepcopy(snapshot)
if value.pop('route_migration_contract', None) != DATA_CONTRACT:
raise ValueError('Robot route migration identity differs')
self._restoring_route = True
try:
self._robot_intake_runtime_restore(value)
finally:
self._restoring_route = False
if self.snapshot() != snapshot:
raise ValueError('Robot route migration snapshot did not round trip')
def _robot_rule_successor_locate_order_zone(self, arguments):
spec = self._task_order(arguments.get('work_order', ''))
if spec is not None and spec['stock_group'] not in self.verified_stock_groups:
self.authorized_new_stock_group = None
result = self._robot_rule_successor_locate_order_zone_2(arguments)
if result.get('status') == 'success':
data = result.get('data') or {}
data.pop('new_stock_binding_limit', None)
return result
def _robot_rule_successor_dispatch(self, tool, arguments):
if self.adapter is None:
raise RuntimeError('activate a task before calling tools')
values = ext_deepcopy(arguments)
with self.isolated_raw():
priority = self._priority_error(tool, values)
if priority is not None:
return ext_deepcopy(priority)
context = self._release_context(values) if tool == 'release' else None
revalidation = self._revalidation_error(tool, context)
if revalidation is not None:
return ext_deepcopy(revalidation)
result = ext_deepcopy(self.adapter.call(tool, values))
if tool == 'release':
self._record_release(context, result)
return result
def _robot_rule_successor_dispatch_2(self, tool, arguments):
if self.adapter is None:
raise RuntimeError('activate a task before calling tools')
self.business_call_count += 1
if self.business_call_count > self.business_call_limit():
return self._attach_call_budget({'status': 'error', 'data': {}, 'message': 'BUSINESS_CALL_LIMIT_EXHAUSTED: no further business calls are available in this episode'})
values = ext_deepcopy(arguments)
if tool == 'stage_retained_source':
result = self._stage_retained_source(values)
elif tool == 'locate_order_zone':
result = self._locate_order_zone(values)
elif tool == 'execute_transfer_attempt':
result = self._execute_transfer_attempt(values)
elif tool == 'open_storage':
result = self._open_storage(values)
else:
issued_before = set(self.adapter.issued_object_handles) if tool == 'scan_current_room' else set()
result = RobotSourceScopeRuntime._robot_rule_successor_dispatch(self, tool, values)
self._annotate_zone_response(tool, result)
if tool == 'scan_current_room':
self._revoke_hidden_object_handles(issued_before, result)
if tool == 'finalize' and result.get('status') == 'success':
work_order = values.get('work_order')
if isinstance(work_order, str):
self._promote_completed_binding(work_order)
self.visible_object_handles.update(self._visible_object_handles(result))
return self._attach_call_budget(result)
def _robot_rule_successor_grade(self):
if self.adapter is None:
raise RuntimeError('activate a task before grading')
with self.isolated_raw():
return ext_deepcopy(self.adapter.grade())
def _robot_rule_successor_stage_retained_source(self, arguments):
if not self._valid_retained_arguments(arguments):
return {'status': 'error', 'data': {}, 'message': 'INVALID_ARGUMENTS: arguments do not match the tool schema'}
spec = self._task_order(arguments['work_order'])
evidence = self.verified_stock_groups.get((spec or {}).get('stock_group'))
if spec is None or evidence is None or evidence.get('station') != arguments['source_station'] or (evidence.get('storage_handle') != arguments['storage_handle']):
return {'status': 'error', 'data': {'outcome': 'retained_binding_mismatch'}, 'message': 'RETAINED_BINDING_MISMATCH: exact verified source evidence is required'}
source_handles = arguments['source_exit_handles']
if source_handles:
moved = RobotSourceScopeRuntime._robot_rule_successor_dispatch(self, 'traverse_known_exit', {'exit_handles': source_handles})
if moved.get('status') != 'success':
return {'status': 'error', 'data': {'outcome': 'source_route_stale', 'steps': [moved]}, 'message': moved.get('message')}
robot = self.adapter._robot()
room = self.adapter._room(robot.get('current_room_id')) if robot else None
if (room or {}).get('name') != arguments['source_station']:
return {'status': 'error', 'data': {'outcome': 'source_route_mismatch'}, 'message': 'SOURCE_ROUTE_MISMATCH: route did not reach retained station'}
issued_before = set(self.adapter.issued_object_handles)
opened = RobotSourceScopeRuntime._robot_rule_successor_dispatch(self, 'open_storage', {'storage_handle': arguments['storage_handle']})
objects = (opened.get('data') or {}).get('objects') or []
matches = [row for row in objects if row.get('display_name') == spec['object_name']]
if opened.get('status') != 'success' or len(matches) != 1:
self._revoke_hidden_object_handles(issued_before, {'data': {'objects': matches}})
return {'status': 'error', 'data': {'outcome': 'retained_source_unavailable', 'steps': [opened]}, 'message': opened.get('message') or 'retained source object unavailable'}
object_row = matches[0]
self._revoke_hidden_object_handles(issued_before, {'data': {'objects': matches}})
inspected = RobotSourceScopeRuntime._robot_rule_successor_dispatch(self, 'inspect_local_object', {'object_handle': object_row['object_handle']})
if inspected.get('status') != 'success':
return {'status': 'error', 'data': {'outcome': 'retained_object_unavailable', 'steps': [opened, inspected]}, 'message': inspected.get('message')}
return {'status': 'success', 'data': {'outcome': 'retained_source_staged', 'retained_source': fn_public_retained_source_evidence(evidence), 'object': ext_deepcopy(object_row), 'inspection': ext_deepcopy(inspected.get('data') or {}), 'battery_percent': self.adapter._battery()}, 'message': 'OK'}
def _robot_rule_successor_validate_restored_evidence_against_world(runtime):
try:
RobotSourceScopeRuntime._robot_rule_successor_validate_restored_evidence_against_world_2(runtime)
except ValueError as error:
if str(error) != 'Robot v8 snapshot contains object handles absent from public evidence':
raise
current = DATA_TASK_IDS.index(runtime.current_task_id)
objects = {row.get('object_id') for row in runtime.adapter._all('object_item')}
ids = {row.get('object_id') for row in runtime.adapter._all('service_task') if row.get('experience_episode_id') in DATA_TASK_IDS[:current + 1]}
allowed = {runtime.adapter._handle('object', ident) for ident in ids & objects if isinstance(ident, str)}
visible = set(runtime.visible_object_handles)
if visible != set(runtime.adapter.issued_object_handles) or not visible <= allowed:
raise
def _robot_intake_runtime_init(self, *args, **kwargs):
self._own_closeouts = {}
self._restoring_evolution = False
self._robot_rule_successor_init(*args, **kwargs)
def _robot_intake_runtime_activate_task(self, task_id):
old = self.current_task_id
result = self._robot_rule_successor_activate_task(task_id)
if old != self.current_task_id:
self._own_closeouts = {}
return result
def _robot_intake_runtime_snapshot(self):
value = self._robot_rule_successor_snapshot()
if not self._restoring_evolution:
value['evolution_contract'] = {'case_version': 'robot-scope-reuse-evolution-v12', 'schedule': ext_deepcopy(DATA_SCHEDULE_2), 'config_sha256': mod_hashlib.sha256((CASE_DIR / 'data/world/private/config.json').read_bytes()).hexdigest()}
value['own_closeout_receipts'] = ext_deepcopy(self._own_closeouts)
return value
def _robot_intake_runtime_restore(self, snapshot):
value = ext_deepcopy(snapshot)
expected = {'case_version': 'robot-scope-reuse-evolution-v12', 'schedule': DATA_SCHEDULE_2, 'config_sha256': mod_hashlib.sha256((CASE_DIR / 'data/world/private/config.json').read_bytes()).hexdigest()}
if value.pop('evolution_contract', None) != expected:
raise ValueError('Robot intake-balanced contract differs')
receipts = value.pop('own_closeout_receipts')
self._restoring_evolution = True
try:
self._robot_rule_successor_restore(value)
finally:
self._restoring_evolution = False
self._own_closeouts = receipts
if self.snapshot() != snapshot:
raise ValueError('Robot intake-balanced snapshot did not round trip')
def _robot_rule_successor_locate_order_zone_2(self, arguments):
if set(arguments) != {'work_order'} or not isinstance(arguments.get('work_order'), str):
return {'status': 'error', 'data': {}, 'message': 'INVALID_ARGUMENTS: arguments do not match the tool schema'}
work_order = arguments['work_order']
pending = self._first_pending_work_order()
if work_order != pending:
return {'status': 'error', 'data': {'first_pending_work_order': pending}, 'message': 'PRIORITY_WORK_ORDER_PENDING: zone lookup is limited to the first pending listed work order'}
spec = self._task_order(work_order)
if spec is None:
return {'status': 'error', 'data': {}, 'message': 'WORK_ORDER_NOT_FOUND: the work-order reference is unknown'}
stock_group = spec['stock_group']
retained = stock_group in self.verified_stock_groups
if not retained:
if self.authorized_new_stock_group is None:
self.authorized_new_stock_group = stock_group
elif self.authorized_new_stock_group != stock_group:
return {'status': 'error', 'data': {'new_stock_bindings_authorized': 1, 'new_stock_binding_limit': 1}, 'message': 'NEW_STOCK_BINDING_LIMIT: this episode already authorized one previously unseen stock binding'}
return {'status': 'success', 'data': {'work_order': work_order, 'source_zone': self._room_zone(spec['source']), 'destination_zone': self._room_zone(spec['target']), 'zone_adjacency': ext_deepcopy(DATA_ZONE_ADJACENCY), 'candidate_station_counts': self._zone_counts(), 'binding_status': 'retained_verified' if retained else 'new_authorized', 'exact_source_disclosed': False}, 'message': 'OK'}
def _robot_rule_successor_validate_restored_evidence_against_world_2(self):
if self.adapter is None or self.current_task_id is None:
raise ValueError('Robot v8 restore did not create an active world')
current_index = DATA_TASK_IDS.index(self.current_task_id)
def task_is_in_prefix(task_id):
return isinstance(task_id, str) and task_id in DATA_TASK_IDS and (DATA_TASK_IDS.index(task_id) <= current_index)
rooms = {row.get('room_id'): row for row in self.adapter._all('room')}
objects = {row.get('object_id'): row for row in self.adapter._all('object_item')}
service_tasks = self.adapter._all('service_task')
def storage_matches(stock_group, evidence):
resolved = self.adapter._storage(evidence['storage_handle'])
if resolved is None:
return False
(room, storage) = resolved
return bool(storage.get('stock_group') == stock_group and room.get('name') == evidence['station'] and (self._room_zone(room.get('room_id')) == evidence['zone']))
for (stock_group, evidence) in self.verified_stock_groups.items():
if not task_is_in_prefix(evidence['task_id']):
raise ValueError('Robot v8 verified stock evidence is from the future')
if not storage_matches(stock_group, evidence):
raise ValueError('Robot v8 verified stock evidence does not match storage')
completed = any((row.get('experience_episode_id') == evidence['task_id'] and row.get('stock_group') == stock_group and (row.get('status') == 'completed') and ((row.get('source_inspection_receipt') or {}).get('status') == 'verified') and ((rooms.get(row.get('source_room_id')) or {}).get('name') == evidence['station']) for row in service_tasks))
if not completed:
raise ValueError('Robot v8 verified stock evidence lacks a completed work order')
pending_order = self._task_order(self._first_pending_work_order() or '')
for (stock_group, evidence) in self.provisional_stock_groups.items():
if evidence['task_id'] != self.current_task_id:
raise ValueError('Robot v8 provisional stock evidence crossed tasks')
if stock_group != self.authorized_new_stock_group:
raise ValueError('Robot v8 provisional stock evidence lacks matching authorization')
if (pending_order or {}).get('stock_group') != stock_group:
raise ValueError('Robot v8 provisional stock evidence is not the current target')
if not storage_matches(stock_group, evidence):
raise ValueError('Robot v8 provisional stock evidence does not match storage')
current_groups = {row['stock_group'] for row in fn_episode_spec_5(self.current_task_id)['orders']}
if self.authorized_new_stock_group is not None and self.authorized_new_stock_group not in current_groups:
raise ValueError('Robot v8 stock authorization is outside the current task')
config = fn_load_config_2()
rule_epoch = str(self.adapter.snapshot().get('rule_epoch'))
rule_table = config['pre_rule_table'] if rule_epoch == config['drift']['from_rule_epoch'] else config['post_rule_table']
for (cell, evidence) in self.transfer_evidence.items():
if not task_is_in_prefix(evidence.get('task_id')):
raise ValueError('Robot v8 transfer evidence is from the future')
order_spec = next((row for row in fn_episode_spec_5(evidence['task_id'])['orders'] if row.get('work_order') == evidence.get('work_order')), None)
task = next((row for row in service_tasks if row.get('task_id') == (order_spec or {}).get('task_id')), None)
obj = objects.get((task or {}).get('object_id'))
source = rooms.get((task or {}).get('source_room_id'))
destination = rooms.get((task or {}).get('target_room_id'))
intake_receipt = (task or {}).get('intake_receipt') or {}
inspection = (task or {}).get('source_inspection_receipt') or {}
storage_ok = storage_matches(evidence.get('stock_group', ''), {'station': str(evidence.get('source_station')), 'storage_handle': str(evidence.get('storage_handle')), 'zone': str(self._room_zone((source or {}).get('room_id'))), 'task_id': str(evidence.get('task_id'))})
if not (task is not None and obj is not None and (order_spec is not None) and (task.get('experience_episode_id') == evidence.get('task_id')) and (task.get('stock_group') == evidence.get('stock_group')) and (task.get('intake_code') == evidence.get('intake_code')) and (source is not None) and (source.get('name') == evidence.get('source_station')) and (destination is not None) and (destination.get('name') == evidence.get('destination_station')) and (obj.get('display_name') == evidence.get('object_name')) and (inspection.get('status') == 'verified') and (inspection.get('handling_code') == evidence.get('handling_code')) and (intake_receipt.get('status') == 'accepted') and (intake_receipt.get('profile') == evidence.get('profile')) and storage_ok):
raise ValueError(f'Robot v8 transfer evidence does not match business state for {cell}')
action_reasons = {str(row.get('reason')) for row in self.adapter.snapshot().get('action_ledger', [])}
for (cell, state) in self.rule_revalidation.items():
evidence = self.transfer_evidence[cell]
evidence_task = evidence['task_id']
(handling, intake) = cell.split(':', 1)
if current_index < DATA_TASK_IDS.index('T09'):
raise ValueError('Robot v8 revalidation state appeared before drift')
if state in {'awaiting_exact_stale', 'awaiting_replacement'}:
if not (evidence_task < 'T09' and handling in DATA_CHANGED_HANDLING_ATOMS and (config['pre_rule_table'][cell] == evidence['profile'])):
raise ValueError('Robot v8 stale revalidation evidence is invalid')
if state == 'awaiting_replacement' and 'INTAKE_REJECTED' not in action_reasons:
raise ValueError('Robot v8 replacement state lacks a stale rejection')
elif state == 'validated':
if not (evidence_task >= 'T09' and rule_table[cell] == evidence['profile']):
raise ValueError('Robot v8 validated revalidation state is invalid')
allowed_object_ids = set()
for row in service_tasks:
episode_id = row.get('experience_episode_id')
if not task_is_in_prefix(episode_id):
continue
if row.get('status') == 'completed' or (row.get('source_inspection_receipt') or {}).get('status') == 'verified':
allowed_object_ids.add(row.get('object_id'))
robot = self.adapter._robot() or {}
if isinstance(robot.get('payload_object_id'), str):
allowed_object_ids.add(robot['payload_object_id'])
if pending_order is not None:
allowed_object_ids.add(pending_order['object_id'])
allowed_handles = {self.adapter._handle('object', object_id) for object_id in allowed_object_ids if isinstance(object_id, str)}
issued_handles = set(self.adapter.issued_object_handles)
if issued_handles != self.visible_object_handles:
raise ValueError('Robot v8 object capability ledger differs from public visibility')
hidden_handles = self.visible_object_handles - allowed_handles
if hidden_handles:
raise ValueError('Robot v8 snapshot contains object handles absent from public evidence')
def _robot_rule_successor_init(self, state_dir=None, *, snapshot=None):
self._restoring_v8_snapshot = False
self._robot_rule_successor_init_2(state_dir=state_dir, snapshot=snapshot)
def _robot_rule_successor_activate_task(self, task_id):
receipt = self._robot_rule_successor_activate_task_2(task_id)
if receipt.get('already_prepared') is True:
return receipt
with self.isolated_raw():
self.adapter._set_battery(170)
after = fn_semantic_state(self.adapter.sm)
receipt = ext_deepcopy(receipt)
recovery = receipt.get('supervisor_recovery') or {}
if isinstance(recovery.get('after'), dict):
recovery['after']['battery_percent'] = 170
for change in receipt.get('changes', []):
if change.get('table') == 'robot_unit' and isinstance(change.get('after'), dict):
change['after'] = next((row for row in after['robot_unit'] if row['robot_id'] == change['id']))
receipt['after_sha256'] = fn_digest_2(after)
if isinstance(receipt.get('public_notice'), str):
receipt['public_notice'] = mod_re.sub('with \\d+ battery units', f'with {170} battery units', receipt['public_notice'])
receipt['successor_budget_override'] = {'task_id': task_id, 'battery_units': 170, 'business_call_limit': self.business_call_limit(), 'basis': 'one physical allowance independent of stream position and rule epoch'}
return receipt
def _robot_rule_successor_snapshot(self):
value = self._robot_rule_successor_snapshot_2()
if self._restoring_v8_snapshot:
return value
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v9'
return value
def _robot_rule_successor_restore(self, snapshot):
if not isinstance(snapshot, dict) or snapshot.get('schema') != 'rescopebench-robot-rule-runtime-snapshot/v9':
raise ValueError('unsupported Robot rule v9 snapshot')
value = ext_deepcopy(snapshot)
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v8'
self._restoring_v8_snapshot = True
try:
self._robot_rule_successor_restore_2(value)
finally:
self._restoring_v8_snapshot = False
if self.snapshot() != snapshot:
raise ValueError('Robot rule v9 snapshot did not round trip')
def _robot_rule_successor_init_2(self, state_dir=None, *, snapshot=None):
self.business_call_count = 0
self.authorized_new_stock_group: str | None = None
self.provisional_stock_groups: dict[str, dict[str, str]] = {}
self.verified_stock_groups: dict[str, dict[str, str]] = {}
self.visible_object_handles: set[str] = set()
self._restoring_v7_snapshot = False
self._robot_rule_successor_init_3(state_dir=state_dir, snapshot=snapshot)
def _robot_rule_successor_activate_task_2(self, task_id):
receipt = self._robot_rule_successor_activate_task_3(task_id)
if receipt.get('already_prepared') is not True:
budget = DATA_EPISODE_BUDGETS[task_id]
with self.isolated_raw():
self.adapter._set_battery(budget)
receipt = ext_deepcopy(receipt)
recovery = receipt.get('supervisor_recovery') or {}
if isinstance(recovery.get('after'), dict):
recovery['after']['battery_percent'] = budget
for change in receipt.get('changes', []):
if change.get('table') == 'robot_unit' and isinstance(change.get('after'), dict):
change['after']['battery_percent'] = budget
notice = receipt.get('public_notice')
if isinstance(notice, str):
receipt['public_notice'] = mod_re.sub('with \\d+ battery units', f'with {budget} battery units', notice)
receipt['successor_budget_override'] = {'task_id': task_id, 'battery_units': budget, 'business_call_limit': self.business_call_limit(), 'basis': 'uniform post-cold physical envelope with public call frontier'}
return receipt
def _robot_rule_successor_snapshot_2(self):
value = self._robot_rule_successor_snapshot_3()
if self._restoring_v7_snapshot:
return value
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v8'
value['business_call_count'] = self.business_call_count
value['authorized_new_stock_group'] = self.authorized_new_stock_group
value['provisional_stock_groups'] = ext_deepcopy(self.provisional_stock_groups)
value['verified_stock_groups'] = ext_deepcopy(self.verified_stock_groups)
value['visible_object_handles'] = sorted(self.visible_object_handles)
return value
def _robot_rule_successor_restore_2(self, snapshot):
if not isinstance(snapshot, dict) or snapshot.get('schema') != 'rescopebench-robot-rule-runtime-snapshot/v8':
raise ValueError('unsupported Robot rule v8 snapshot')
fn__validate_snapshot_extensions(snapshot)
value = ext_deepcopy(snapshot)
self.business_call_count = value.pop('business_call_count')
self.authorized_new_stock_group = value.pop('authorized_new_stock_group')
self.provisional_stock_groups = value.pop('provisional_stock_groups')
self.verified_stock_groups = value.pop('verified_stock_groups')
self.visible_object_handles = set(value.pop('visible_object_handles'))
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v7'
self._restoring_v7_snapshot = True
try:
self._robot_rule_successor_restore_3(value)
finally:
self._restoring_v7_snapshot = False
self._validate_restored_evidence_against_world()
if self.snapshot() != snapshot:
raise ValueError('Robot rule v8 snapshot did not round trip')
def _robot_rule_successor_init_3(self, state_dir=None, *, snapshot=None):
self._restoring_v6_snapshot = False
self._robot_rule_successor_init_4(state_dir=state_dir, snapshot=snapshot)
def _robot_rule_successor_activate_task_3(self, task_id):
receipt = self._robot_rule_successor_activate_task_4(task_id)
if receipt.get('already_prepared') is not True:
self.business_call_count = 0
self.authorized_new_stock_group = None
self.provisional_stock_groups = {}
budget = DATA_EPISODE_BUDGETS_2[task_id]
with self.isolated_raw():
self.adapter._set_battery(budget)
receipt = ext_deepcopy(receipt)
recovery = receipt.get('supervisor_recovery') or {}
if isinstance(recovery.get('after'), dict):
recovery['after']['battery_percent'] = budget
for change in receipt.get('changes', []):
if change.get('table') == 'robot_unit' and isinstance(change.get('after'), dict):
change['after']['battery_percent'] = budget
notice = receipt.get('public_notice')
if isinstance(notice, str):
receipt['public_notice'] = mod_re.sub('with \\d+ battery units', f'with {budget} battery units', notice)
receipt['successor_budget_override'] = {'task_id': task_id, 'battery_units': budget, 'business_call_limit': 32, 'new_stock_binding_limit': 1, 'basis': 'full informed replay plus worst-order bounded zone search'}
return receipt
def _robot_rule_successor_snapshot_3(self):
value = self._robot_rule_successor_snapshot_4()
if self._restoring_v6_snapshot:
return value
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v7'
return value
def _robot_rule_successor_restore_3(self, snapshot):
if not isinstance(snapshot, dict) or snapshot.get('schema') != 'rescopebench-robot-rule-runtime-snapshot/v7':
raise ValueError('unsupported Robot rule v7 snapshot')
fn__validate_snapshot_extensions_2(snapshot)
value = ext_deepcopy(snapshot)
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v6'
self._restoring_v6_snapshot = True
try:
self._robot_rule_successor_restore_4(value)
finally:
self._restoring_v6_snapshot = False
if self.snapshot() != snapshot:
raise ValueError('Robot rule v7 snapshot did not round trip')
def _robot_rule_successor_init_4(self, state_dir=None, *, snapshot=None):
self.transfer_evidence: dict[str, dict[str, ext_Any]] = {}
self.rule_revalidation: dict[str, str] = {}
self._restoring_parent_snapshot = False
self._robot_rule_successor_init_5(state_dir=state_dir, snapshot=snapshot)
def _robot_rule_successor_activate_task_4(self, task_id):
receipt = self._robot_rule_successor_activate_task_5(task_id)
if task_id != 'T01' or receipt.get('already_prepared') is True:
return receipt
with self.isolated_raw():
self.adapter._set_battery(72)
receipt = ext_deepcopy(receipt)
recovery = receipt.get('supervisor_recovery') or {}
if isinstance(recovery.get('after'), dict):
recovery['after']['battery_percent'] = 72
for change in receipt.get('changes', []):
if change.get('table') == 'robot_unit' and isinstance(change.get('after'), dict):
change['after']['battery_percent'] = 72
notice = receipt.get('public_notice')
if isinstance(notice, str):
receipt['public_notice'] = notice.replace(f'with {93} battery units', f'with {72} battery units')
receipt['successor_budget_override'] = {'task_id': 'T01', 'battery_units': 72, 'basis': 'provider-free cold cap plus honest weighted cost intervals'}
return receipt
def _robot_rule_successor_snapshot_4(self):
value = self._robot_rule_successor_snapshot_5()
if self._restoring_parent_snapshot:
return value
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v6'
value['transfer_evidence'] = ext_deepcopy(self.transfer_evidence)
value['rule_revalidation'] = ext_deepcopy(self.rule_revalidation)
return value
def _robot_rule_successor_restore_4(self, snapshot):
if snapshot.get('schema') != 'rescopebench-robot-rule-runtime-snapshot/v6':
raise ValueError('unsupported Robot rule v6 snapshot')
value = ext_deepcopy(snapshot)
self.transfer_evidence = ext_deepcopy(value.pop('transfer_evidence', {}))
self.rule_revalidation = ext_deepcopy(value.pop('rule_revalidation', {}))
value['schema'] = 'rescopebench-robot-rule-runtime-snapshot/v4'
self._restoring_parent_snapshot = True
try:
self._robot_rule_successor_restore_5(value)
finally:
self._restoring_parent_snapshot = False
def _robot_rule_successor_init_5(self, state_dir=None, *, snapshot=None):
self._temporary = None
if state_dir is None:
self._temporary = mod_tempfile.TemporaryDirectory(prefix='robot-rule-v4-')
state_dir = ext_Path(self._temporary.name) / 'state'
self.state_dir = ext_Path(state_dir).resolve()
self.current_task_id: str | None = None
self.adapter = None
if snapshot is not None:
self.restore(snapshot)
def _robot_rule_successor_activate_task_5(self, task_id):
receipt = self._robot_rule_successor_activate_task_6(task_id)
if task_id == 'T09':
for (cell, evidence) in self.transfer_evidence.items():
handling = cell.split(':', 1)[0]
if handling in DATA_CHANGED_HANDLING_ATOMS and evidence.get('task_id', 'T99') < 'T09':
self.rule_revalidation.setdefault(cell, 'awaiting_exact_stale')
return receipt
def _robot_rule_successor_snapshot_5(self):
if self.adapter is None or self.current_task_id is None:
raise RuntimeError('activate a task before snapshotting')
with self.isolated_raw():
fn_checkpoint_state(self.adapter, self.state_dir)
adapter_state = ext_deepcopy(self.adapter.snapshot())
database = {path.name: mod_json.loads(path.read_text(encoding='utf-8')) for path in sorted((self.state_dir / 'database').glob('*.json'))}
return {'schema': 'rescopebench-robot-rule-runtime-snapshot/v4', 'task_id': self.current_task_id, 'database': database, 'adapter': adapter_state}
def _robot_rule_successor_restore_5(self, snapshot):
if snapshot.get('schema') != 'rescopebench-robot-rule-runtime-snapshot/v4':
raise ValueError('unsupported Robot rule successor snapshot')
task_id = snapshot.get('task_id')
if task_id not in DATA_TASK_IDS or not isinstance(snapshot.get('database'), dict):
raise ValueError('invalid Robot rule successor snapshot')
if self.state_dir.exists():
mod_shutil.rmtree(self.state_dir)
database_dir = self.state_dir / 'database'
database_dir.mkdir(parents=True)
for (name, value) in snapshot['database'].items():
if ext_Path(name).name != name or not name.endswith('.json'):
raise ValueError('snapshot database contains an invalid file name')
(database_dir / name).write_text(mod_json.dumps(value, ensure_ascii=True, indent=2, sort_keys=True) + '\n', encoding='utf-8')
adapter_state = ext_deepcopy(snapshot.get('adapter') or {})
ledger = adapter_state.get('observation_ledger')
if not isinstance(ledger, dict):
raise ValueError('snapshot is missing its observation ledger')
(self.state_dir / 'observation-ledger.json').write_text(mod_json.dumps(ledger, ensure_ascii=True, indent=2, sort_keys=True) + '\n', encoding='utf-8')
with self.isolated_raw():
self.adapter = fn_restore_adapter(CASE_DIR / 'data/world', self.state_dir, task_id)
self.adapter._actions = ext_deepcopy(adapter_state.get('action_ledger', []))
self.adapter._next_action_index = 1 + max((int(row.get('index', 0)) for row in self.adapter._actions), default=0)
metering = adapter_state.get('episode_metering') or {}
self.adapter._scanned_rooms_this_episode = set(metering.get('scanned_room_ids', []))
self.adapter._accessed_storage_this_episode = set(metering.get('accessed_storage_handles', []))
self.current_task_id = task_id
if self.snapshot() != snapshot:
raise ValueError('Robot rule successor snapshot did not round trip')
def _robot_rule_successor_activate_task_6(self, task_id):
receipt = self._robot_rule_successor_activate_task_7(task_id)
if task_id != 'T01' or receipt.get('already_prepared') is True:
return receipt
with self.isolated_raw():
self.adapter._set_battery(93)
receipt = ext_deepcopy(receipt)
recovery = receipt.get('supervisor_recovery') or {}
if isinstance(recovery.get('after'), dict):
recovery['after']['battery_percent'] = 93
for change in receipt.get('changes', []):
if change.get('table') == 'robot_unit' and isinstance(change.get('after'), dict):
change['after']['battery_percent'] = 93
notice = receipt.get('public_notice')
if isinstance(notice, str):
receipt['public_notice'] = notice.replace('with 98 battery units', f'with {93} battery units')
receipt['successor_budget_override'] = {'task_id': 'T01', 'battery_units': 93, 'basis': 'deterministic action-cost frontier'}
return receipt
def _robot_rule_successor_activate_task_7(self, task_id):
if task_id not in DATA_TASK_IDS:
raise ValueError(f'unknown Robot stream task: {task_id}')
with self.isolated_raw():
if self.adapter is not None and self.current_task_id != task_id:
fn_checkpoint_state(self.adapter, self.state_dir)
(self.adapter, receipt) = self._prepare_episode(task_id)
self.current_task_id = task_id
return ext_deepcopy(receipt)
class HistoricalStorageView:
def __init__(self, adapter):
self.adapter = adapter
source = CASE_DIR / 'data/assets/rooms.json'
self.units = {unit['unit_id']: unit for room in mod_json.loads(source.read_text()) for unit in room.get('storage_units', [])}
def __getattr__(self, name):
return getattr(self.adapter, name)
def _storage(self, handle):
found = self.adapter._storage(handle)
if found is None:
return None
(room, unit) = found
historical = self.units.get(unit['unit_id'])
return (room, {**unit, 'stock_group': historical['stock_group']}) if historical else found
class RobotExperienceStreamAdapter:
def __init__(self, *args, **kwargs):
self._robot_experience_stream_adapter_init(*args, **kwargs)
self.tools = ext_deepcopy(DATA_TOOLS_3)
def traverse_known_exit(self, exit_handle=None, exit_handles=None):
if exit_handles is None:
return self._robot_state_action_adapter_traverse_known_exit(exit_handle)
segments = []
total_cost = 0
for (index, handle) in enumerate(exit_handles, 1):
result = self._robot_state_action_adapter_traverse_known_exit(handle)
data = ext_deepcopy(result.get('data') or {})
total_cost += int(data.get('battery_cost') or 0)
segments.append({'index': index, 'exit_handle': handle, 'status': result.get('status'), 'message': result.get('message'), 'data': data})
if result.get('status') != 'success':
return fn__error(fn__code(result), 'known-route execution stopped at the first failed edge', {'requested_segments': len(exit_handles), 'completed_segments': index - 1, 'stopped_at_index': index, 'segments': segments, 'battery_percent': self._battery(), 'battery_cost': total_cost})
return fn__success({'requested_segments': len(exit_handles), 'completed_segments': len(exit_handles), 'stopped_at_index': None, 'segments': segments, 'battery_percent': self._battery(), 'battery_cost': total_cost})
def call(self, name, arguments):
if name != 'traverse_known_exit':
return self._robot_experience_adapter_call(name, arguments)
try:
mod_jsonschema.validate(arguments, DATA__TRAVERSE_PARAMETERS)
except mod_jsonschema.ValidationError:
return self._finish(name, fn__error('INVALID_ARGUMENTS', 'arguments do not match the tool schema'))
has_single = 'exit_handle' in arguments
has_batch = 'exit_handles' in arguments
if has_single == has_batch:
return self._finish(name, fn__error('INVALID_ARGUMENTS', 'provide exactly one of exit_handle or exit_handles'))
return self.traverse_known_exit(**ext_deepcopy(arguments))
def snapshot(self):
state = self._robot_experience_stream_adapter_snapshot()
state['schema'] = 'robot-experience-stream-snapshot/v4'
return state
def _scan_observation(self):
robot = self._robot()
room = self._room((robot or {}).get('current_room_id'))
if not robot or not room:
return fn__error('CURRENT_ROOM_NOT_FOUND', 'the controlled robot has no valid current room')
room_id = room['room_id']
exits = []
for edge in sorted(self._all('map_edge'), key=lambda row: row.get('edge_id', '')):
destination = self._edge_destination(edge, room_id)
if not destination:
continue
handle = self._handle('exit', edge['edge_id'])
self.issued_exit_handles.add(handle)
exits.append({'exit_handle': handle, 'route_type': edge.get('route_type'), 'distance_m': edge.get('distance_m'), 'status': 'open' if self._edge_usable(edge, destination) else 'blocked'})
units = []
for unit in sorted(room.get('storage_units', []), key=lambda row: row['unit_id']):
handle = self._handle('storage', unit['unit_id'])
self.issued_storage_handles.add(handle)
units.append({'storage_handle': handle, 'display_name': unit.get('display_name') or f'Storage-{handle[-8:].upper()}', 'access_state': 'open' if unit.get('opened') else 'closed'})
objects = []
for obj in sorted(self._all('object_item'), key=lambda row: row.get('object_id', '')):
if not self._object_visible_in_room(obj, room_id):
continue
handle = self._handle('object', obj['object_id'])
self.issued_object_handles.add(handle)
objects.append({'object_handle': handle, 'display_name': obj.get('display_name'), 'handling_state': obj.get('handling_state'), 'actionable': self._active_handle(handle)})
peers = []
for peer in sorted(self._all('robot_unit'), key=lambda row: row.get('robot_id', '')):
if peer.get('robot_id') == self.robot_id or peer.get('current_room_id') != room_id:
continue
robot_handle = self._handle('robot', peer['robot_id'])
self.issued_robot_handles.add(robot_handle)
peers.append({'robot_handle': robot_handle, 'display_name': peer.get('display_name'), 'operational_status': peer.get('operational_status')})
obstacles = [{'obstacle_type': row.get('obstacle_type'), 'severity': row.get('severity')} for row in sorted(self._all('obstacle'), key=lambda item: item.get('obstacle_id', '')) if row.get('room_id') == room_id and row.get('status') == 'active']
condition = self._condition(room_id)
return fn__success({'room': {'name': room.get('name')}, 'room_state': {'access_state': (condition or {}).get('access_state'), 'occupancy': (condition or {}).get('occupancy')}, 'peers': peers, 'storage_units': units, 'objects': objects, 'active_obstacles': obstacles, 'exits': exits})
def scan_current_room(self):
robot = self._robot()
room_id = (robot or {}).get('current_room_id')
if not isinstance(room_id, str):
return self._finish('scan_current_room', self._scan_observation())
if room_id in self._scanned_rooms_this_episode:
result = self._scan_observation()
result.setdefault('data', {}).update({'battery_percent': self._battery(), 'battery_cost': 0})
return self._finish('scan_current_room', result)
result = self._attempt('scan_current_room', self._scan_observation)
if result.get('status') == 'success':
self._scanned_rooms_this_episode.add(room_id)
return result
def open_storage(self, storage_handle):
if not isinstance(storage_handle, str) or storage_handle not in self.issued_storage_handles:
return self._finish('open_storage', fn__error('STORAGE_NOT_OBSERVED', 'scan the local room before accessing a storage unit'))
resolved = self._storage(storage_handle)
robot = self._robot()
if resolved is None or not robot or resolved[0].get('room_id') != robot.get('current_room_id'):
return self._finish('open_storage', fn__error('STORAGE_NOT_LOCAL', 'the storage unit is not in the current room'))
def access():
current = self._storage(storage_handle)
if current is None:
return fn__error('STORAGE_NOT_FOUND', 'the storage unit is unavailable')
(current_room, current_unit) = current
if current_unit.get('opened') is not True:
current_unit['opened'] = True
current_room['storage_units'] = [current_unit if row.get('unit_id') == current_unit['unit_id'] else row for row in current_room.get('storage_units', [])]
self._save('room', current_room)
return fn__success(self._storage_view(current_room, current_unit))
if storage_handle in self._accessed_storage_this_episode:
result = access()
result.setdefault('data', {}).update({'battery_percent': self._battery(), 'battery_cost': 0})
return self._finish('open_storage', result)
result = self._attempt('open_storage', access)
if result.get('status') == 'success':
self._accessed_storage_this_episode.add(storage_handle)
return result
def read_work_order(self, work_order):
result = self._robot_experience_stream_adapter_read_work_order(work_order)
if result.get('status') == 'success':
result.get('data', {}).pop('policy_version', None)
return result
def public_snapshot(self):
"""Return a minimal learner-safe projection of current runtime state.
This is intentionally not a reload format. In particular, it exposes
episode-local metering counts rather than private room IDs or a cache that
a later adapter could silently restore.
"""
robot = self._robot() or {}
room = self._room(robot.get('current_room_id'))
active_work_order = next((work_order for (work_order, order) in self._orders.items() if order['task_id'] == robot.get('active_task_id')), None)
return {'schema': 'robot-experience-stream-public-snapshot/v1', 'robot': {'operational_status': robot.get('operational_status'), 'battery_percent': int(robot.get('battery_percent') or 0), 'current_room_name': (room or {}).get('name'), 'active_work_order': active_work_order, 'carrying_payload': robot.get('payload_object_id') is not None}, 'work_orders': sorted(self._orders), 'episode_metering': {'rooms_scanned': len(self._scanned_rooms_this_episode), 'storage_units_accessed': len(self._accessed_storage_this_episode), 'cache_scope': 'current_adapter_instance'}, 'actions': ext_deepcopy(self._actions)}
def _active_handle(self, object_handle):
return isinstance(object_handle, str) and self._object_by_handle.get(object_handle) in self.active_object_ids
def _storage_view(self, room, unit):
result = self._robot_experience_adapter_storage_view(room, unit)
for row in result['objects']:
row['actionable'] = self._active_handle(row['object_handle'])
return result
def inspect_local_object(self, object_handle):
if not self._active_handle(object_handle):
return self._finish('inspect_local_object', fn__error('OBJECT_NOT_IN_ACTIVE_EPISODE', 'the parcel is visible but its private attributes are not actionable now'))
return self._robot_experience_adapter_inspect_local_object(object_handle)
def pickup(self, work_order, object_handle):
if not self._active_handle(object_handle):
return self._finish('pickup', fn__error('OBJECT_NOT_IN_ACTIVE_EPISODE', 'the parcel is visible but cannot be moved in this episode'))
return self._robot_experience_adapter_pickup(work_order, object_handle)
def import_observation_ledger(self, ledger):
"""Restore learned handles without allowing memory to mutate physical state."""
if not isinstance(ledger, dict):
raise ValueError('observation ledger must be an object')
opened = ledger.get('opened_storage_handles', [])
if not isinstance(opened, list) or not all((isinstance(value, str) for value in opened)):
raise ValueError('opened_storage_handles must be a list of strings')
physically_open = {handle for handle in self._storage_by_handle if (resolved := self._storage(handle)) is not None and resolved[1].get('opened') is True}
sanitized = ext_deepcopy(ledger)
sanitized['opened_storage_handles'] = sorted(set(opened) & physically_open)
counts = self._robot_experience_adapter_import_observation_ledger(sanitized)
counts['stale_opened_storage_handles_rejected'] = len(set(opened) - physically_open)
return counts
def grade(self):
result = self._robot_experience_adapter_grade()
result['public_components'] = {f"{row['work_order']}:{name}": {'correct': int(row[name]), 'total': 1} for row in result['orders'] for name in ('source_verified', 'transfer_authorized', 'custody_obtained', 'physical_delivery', 'workflow_completed')}
return result
def _storage(self, storage_handle):
binding = self._storage_by_handle.get(storage_handle)
if binding is None:
return None
room = self._room(binding[0])
if not room:
return None
unit = next((row for row in room.get('storage_units', []) if row.get('unit_id') == binding[1]), None)
return (room, unit) if unit else None
def _storage_for_object(self, obj):
unit_id = obj.get('storage_unit_id')
if not unit_id:
return None
for room in self._all('room'):
unit = next((row for row in room.get('storage_units', []) if row.get('unit_id') == unit_id), None)
if unit:
return (room, unit)
return None
def _object_visible_in_room(self, obj, room_id):
if obj.get('held_by_robot_id') or obj.get('current_room_id') != room_id:
return False
storage = self._storage_for_object(obj)
if storage is None:
return True
(storage_room, unit) = storage
return storage_room.get('room_id') != room_id or unit.get('opened') is True
@staticmethod
def _source_inspection_valid(order, task, obj):
receipt = task.get('source_inspection_receipt') or {}
return bool(receipt.get('status') == 'verified' and receipt.get('object_id') == order.get('object_id') == obj.get('object_id') and (receipt.get('source_room_id') == task.get('source_room_id')) and (receipt.get('handling_code') == obj.get('handling_code')) and (receipt.get('stock_group') == task.get('stock_group') == obj.get('stock_group')))
def _source_storage_open(self, task, obj):
unit_id = obj.get('storage_unit_id')
if not unit_id:
return True
room = self._room(task.get('source_room_id'))
unit = next((row for row in (room or {}).get('storage_units', []) if row.get('unit_id') == unit_id), None)
return bool(unit and unit.get('opened') is True)
def assign_work_order(self, work_order):
order = self._order(work_order)
if not order:
return self._finish('assign_work_order', fn__error('WORK_ORDER_NOT_FOUND', 'unknown work order'))
def mutate():
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not obj or (not actor):
return fn__error('WORK_ORDER_UNAVAILABLE', 'incomplete work-order records')
if task.get('status') != 'queued' or task.get('assigned_robot_id') or self._active_assignments(task_id=task['task_id']):
return fn__error('WORK_ORDER_NOT_QUEUED', 'work order is not queued')
if actor.get('operational_status') != 'available' or actor.get('active_task_id') or actor.get('payload_object_id') or self._active_assignments(robot_id=self.robot_id):
return fn__error('ROBOT_NOT_AVAILABLE', 'the robot is occupied')
if actor.get('facility_id') != task.get('facility_id'):
return fn__error('FACILITY_MISMATCH', 'robot and work order are in different facilities')
if obj.get('requires_gripper') and 'grasp' not in actor.get('capabilities', []):
return fn__error('CAPABILITY_MISMATCH', 'required actuator is unavailable')
now = fn__timestamp()
task.update(status='assigned', assigned_robot_id=self.robot_id, updated_at=now)
actor.update(operational_status='busy', active_task_id=task['task_id'], updated_at=now)
domain = mod_importlib.import_module('mcp_servers.robot_domain')
domain._make_assignment(self.sm, task, actor, note='Metered delivery assignment.')
self._save('service_task', task)
self._save('robot_unit', actor)
return fn__success({'work_order': work_order, 'status': 'assigned'})
return self._attempt('assign_work_order', mutate)
def prepare_transfer(self, work_order, profile):
order = self._order(work_order)
if not order:
return self._finish('prepare_transfer', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
if profile not in DATA_TRANSFER_PROFILES:
return self._finish('prepare_transfer', fn__error('INVALID_ARGUMENTS', 'the transfer profile is not declared'))
def mutate():
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not obj or (not actor):
return fn__error('WORK_ORDER_UNAVAILABLE', 'the work-order records are incomplete')
if task.get('status') not in {'assigned', 'in_progress'}:
return fn__error('WORK_ORDER_NOT_CONFIGURABLE', 'the work order is not active')
if task.get('assigned_robot_id') != self.robot_id or len(self._active_assignments(task_id=task['task_id'], robot_id=self.robot_id)) != 1 or actor.get('active_task_id') != task['task_id']:
return fn__error('ASSIGNMENT_REQUIRED', 'the work order is not actively assigned')
if not self._source_inspection_valid(order, task, obj):
return fn__error('LOCAL_INSPECTION_REQUIRED', 'inspect the target parcel before configuration')
at_source = actor.get('current_room_id') == task.get('source_room_id')
unheld_local = obj.get('current_room_id') == actor.get('current_room_id') and (not obj.get('held_by_robot_id'))
held_by_actor = actor.get('payload_object_id') == obj['object_id'] and obj.get('held_by_robot_id') == self.robot_id
if not at_source or not (unheld_local or held_by_actor):
return fn__error('SOURCE_CONFIGURATION_REQUIRED', 'configure this parcel at its opened source storage location')
if not self._source_storage_open(task, obj):
return fn__error('SOURCE_STORAGE_CLOSED', "open the parcel's local source storage before configuration")
now = fn__timestamp()
task.update(transfer_profile_submitted=profile, transfer_policy_version=task['policy_version'], transfer_object_id=obj['object_id'], transfer_authorized=False, intake_receipt=None, updated_at=now)
self._save('service_task', task)
return fn__success({'work_order': work_order, 'transfer_state': 'configured_unverified'})
return self._attempt('prepare_transfer', mutate)
def _configured_profile_valid(self, task, obj):
key = f"{obj.get('handling_code')}:{task.get('intake_code')}"
return task.get('policy_version') == 'PV-18' and task.get('transfer_policy_version') == task.get('policy_version') and (task.get('transfer_object_id') == obj.get('object_id')) and (task.get('transfer_profile_submitted') == self.rule_table.get(key))
def release(self, work_order):
order = self._order(work_order)
if not order:
return self._finish('release', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not obj or (not actor) or (actor.get('current_room_id') != order['destination_room_id']) or (actor.get('payload_object_id') != obj.get('object_id')) or (obj.get('held_by_robot_id') != self.robot_id):
return self._robot_state_action_adapter_release(work_order)
if task.get('transfer_profile_submitted') not in DATA_TRANSFER_PROFILES or task.get('transfer_policy_version') != task.get('policy_version') or task.get('transfer_object_id') != obj.get('object_id'):
return self._attempt('release', lambda : fn__error('TRANSFER_NOT_CONFIGURED', 'destination intake requires a current parcel-bound configuration'))
if not self._configured_profile_valid(task, obj):
return self._attempt('release', lambda : fn__error('INTAKE_REJECTED', 'destination intake did not accept the configured transfer'))
result = self._robot_state_action_adapter_release(work_order)
if result.get('status') == 'success':
task = self._get('service_task', 'task_id', order['task_id'])
if task:
task.update(transfer_authorized=True, intake_receipt={'status': 'accepted', 'object_id': obj['object_id'], 'policy_version': task['policy_version'], 'profile': task['transfer_profile_submitted'], 'destination_room_id': order['destination_room_id'], 'accepted_at': fn__timestamp()}, updated_at=fn__timestamp())
self._save('service_task', task)
result.setdefault('data', {})['intake_state'] = 'accepted'
return result
def finalize(self, work_order):
order = self._order(work_order)
if not order:
return self._finish('finalize', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
(task, obj) = self._work_context(order)
actor = self._robot()
receipt = (task or {}).get('intake_receipt') or {}
if not task or not obj or task.get('transfer_authorized') is not True or (receipt.get('status') != 'accepted') or (receipt.get('object_id') != obj.get('object_id')) or (receipt.get('policy_version') != task.get('policy_version')) or (receipt.get('destination_room_id') != order['destination_room_id']):
return self._attempt('finalize', lambda : fn__error('INTAKE_RECEIPT_REQUIRED', "closure requires this parcel's current accepted intake receipt"))
if not actor or actor.get('current_room_id') != self.home_room_id:
return self._attempt('finalize', lambda : fn__error('SERVICE_HUB_REQUIRED', 'return to the service hub before closing the work order'))
return self._robot_state_action_adapter_finalize(work_order)
def export_observation_ledger(self):
ledger = self._robot_state_action_adapter_export_observation_ledger()
ledger['storage_handles'] = sorted(self.issued_storage_handles)
ledger['opened_storage_handles'] = sorted((handle for handle in self._storage_by_handle if (resolved := self._storage(handle)) is not None and resolved[1].get('opened') is True))
ledger['inspected_target_object_ids'] = sorted(self._inspected_target_ids)
return ledger
def _schema_valid(self, name, arguments):
if name not in DATA__TOOL_BY_NAME or not isinstance(arguments, dict):
return False
schema = DATA__TOOL_BY_NAME[name]
properties = schema.get('properties', {})
if set(arguments) - set(properties) or any((key not in arguments for key in schema.get('required', []))):
return False
for (key, value) in arguments.items():
spec = properties[key]
if spec.get('type') == 'string' and (not isinstance(value, str)):
return False
if spec.get('type') == 'array' and (not isinstance(value, list) or not all((isinstance(item, str) for item in value))):
return False
if 'enum' in spec and value not in spec['enum']:
return False
return True
def _handle(self, kind, internal_id):
token = mod_hashlib.sha256(f'{self.handle_seed}:{kind}:{internal_id}'.encode('utf-8')).hexdigest()[:16]
return f'{kind}-{token}'
def _all(self, entity):
return self.sm.list_entities(entity)
def _get(self, entity, id_field, entity_id):
if not entity_id:
return None
return self.sm.get_entity(entity, entity_id, id_field=id_field)
def _save(self, entity, row):
return self.sm.replace_entity(entity, row)
def _refresh_plan_handles(self):
self._plan_by_handle = {self._handle('plan', row['plan_id']): row['plan_id'] for row in self._all('navigation_plan')}
def _finish(self, tool, result, battery_cost=0):
self._actions.append({'index': self._next_action_index, 'tool': tool, 'status': result.get('status'), 'battery_cost': battery_cost, 'reason': fn__code(result)})
self._next_action_index += 1
if len(self._actions) > 256:
self._actions = self._actions[-256:]
return result
def _robot(self):
return self._get('robot_unit', 'robot_id', self.robot_id)
def _room(self, room_id):
return self._get('room', 'room_id', room_id)
def _room_name(self, room_id):
room = self._room(room_id)
return room.get('name') if room else None
def _robot_name(self, robot_id):
robot = self._get('robot_unit', 'robot_id', robot_id)
return robot.get('display_name') if robot else None
def _order(self, work_order):
return self._orders.get(work_order) if isinstance(work_order, str) else None
def _task_steps(self, task_id):
return sorted((row for row in self._all('task_step') if row.get('task_id') == task_id), key=lambda row: (row.get('step_order', 0), row.get('step_id', '')))
def _active_assignments(self, task_id=None, robot_id=None):
rows = []
for row in self._all('task_assignment'):
if row.get('status') != 'active':
continue
if task_id is not None and row.get('task_id') != task_id:
continue
if robot_id is not None and row.get('robot_id') != robot_id:
continue
rows.append(row)
return rows
def _condition(self, room_id):
return next((row for row in self._all('room_condition') if row.get('room_id') == room_id), None)
def _room_open(self, room_id):
room = self._room(room_id)
condition = self._condition(room_id) if room_id else None
return bool(room and room.get('is_robot_accessible') and (not condition or condition.get('access_state') != 'closed'))
def _edge_destination(self, edge, room_id):
if edge.get('from_room_id') == room_id:
return edge.get('to_room_id')
if edge.get('is_bidirectional') and edge.get('to_room_id') == room_id:
return edge.get('from_room_id')
return None
def _active_edge_blockers(self, edge_id):
return [row for row in self._all('obstacle') if row.get('status') == 'active' and edge_id in (row.get('affects_edge_ids') or [])]
def _edge_usable(self, edge, destination_id):
return bool(edge.get('status') == 'open' and (not self._active_edge_blockers(edge['edge_id'])) and self._room_open(destination_id))
def _capture_state(self):
if hasattr(self.sm, 'get_full_state'):
return ext_deepcopy(self.sm.get_full_state())
return {entity: ext_deepcopy(self._all(entity)) for entity in DATA__ID_FIELDS}
def _restore_state(self, state):
if hasattr(self.sm, 'database') and isinstance(self.sm.database, dict):
self.sm.database = ext_deepcopy(state)
return
for (entity, rows) in state.items():
id_field = DATA__ID_FIELDS.get(entity)
if not id_field:
continue
if hasattr(self.sm, 'delete_entity'):
desired = {row.get(id_field) for row in rows}
for current in self._all(entity):
entity_id = current.get(id_field)
if entity_id not in desired:
self.sm.delete_entity(entity, entity_id, id_field=id_field)
for row in rows:
self._save(entity, ext_deepcopy(row))
def _battery(self):
robot = self._robot()
return int((robot or {}).get('battery_percent') or 0)
def _set_battery(self, value):
self.sm.update_entity('robot_unit', self.robot_id, {'battery_percent': value}, id_field='robot_id')
def _attempt(self, tool, mutation):
starting_battery = self._battery()
if starting_battery < 1:
return self._finish(tool, fn__error('INSUFFICIENT_BATTERY', 'the controlled robot cannot pay the one-unit attempt cost', {'battery_percent': starting_battery, 'battery_cost': 0}), 0)
before = self._capture_state()
try:
result = mutation()
except Exception:
self._restore_state(before)
raise
if result.get('status') != 'success':
self._restore_state(before)
self._set_battery(starting_battery - 1)
result.setdefault('data', {})
result['data'].update({'battery_percent': starting_battery - 1, 'battery_cost': 1})
self._refresh_plan_handles()
return self._finish(tool, result, 1)
def _work_context(self, order):
task = self._get('service_task', 'task_id', order['task_id'])
obj = self._get('object_item', 'object_id', order['object_id'])
return (task, obj)
def _required_destination(self, task, obj):
pick_done = any((row.get('step_type') == 'pick' and row.get('status') == 'completed' for row in self._task_steps(task['task_id'])))
if obj and (obj.get('held_by_robot_id') or pick_done or obj.get('handling_state') in {'in_transit', 'delivered'}):
return task.get('target_room_id')
return task.get('source_room_id')
def observe_self(self):
robot = self._robot()
if not robot:
return self._finish('observe_self', fn__error('ROBOT_NOT_FOUND', 'the controlled robot is missing'))
payload = self._get('object_item', 'object_id', robot.get('payload_object_id'))
payload_view = None
if payload:
handle = self._handle('object', payload['object_id'])
self.issued_object_handles.add(handle)
payload_view = {'object_handle': handle, 'display_name': payload.get('display_name'), 'handling_state': payload.get('handling_state')}
active_order = next((ref for (ref, row) in self._orders.items() if row['task_id'] == robot.get('active_task_id')), None)
return self._finish('observe_self', fn__success({'robot': {'display_name': robot.get('display_name'), 'operational_status': robot.get('operational_status'), 'capabilities': ext_deepcopy(robot.get('capabilities') or []), 'battery_percent': int(robot.get('battery_percent') or 0)}, 'current_room': {'name': self._room_name(robot.get('current_room_id'))}, 'payload': payload_view, 'active_work_order': active_order}))
def _route_consistent(self, plan):
route = plan.get('route_room_ids') or []
if not route or route[0] != plan.get('origin_room_id') or route[-1] != plan.get('destination_room_id'):
return False
edges = self._all('map_edge')
for (left, right) in zip(route, route[1:]):
if not any((edge.get('from_room_id') == left and edge.get('to_room_id') == right or (edge.get('is_bidirectional') and edge.get('from_room_id') == right and (edge.get('to_room_id') == left)) for edge in edges)):
return False
return True
def _route_currently_usable(self, plan):
route = plan.get('route_room_ids') or []
if not self._route_consistent(plan) or not self._room_open(route[0]):
return False
edges = self._all('map_edge')
for (left, right) in zip(route, route[1:]):
edge = next((row for row in edges if row.get('from_room_id') == left and row.get('to_room_id') == right or (row.get('is_bidirectional') and row.get('from_room_id') == right and (row.get('to_room_id') == left))), None)
if edge is None or not self._edge_usable(edge, right):
return False
return True
def inspect_plan(self, plan_handle):
self._refresh_plan_handles()
if not isinstance(plan_handle, str) or plan_handle not in self.issued_plan_handles or plan_handle not in self._plan_by_handle:
return self._finish('inspect_plan', fn__error('PLAN_NOT_OBSERVED', 'read the work order before inspecting its plan'))
plan = self._get('navigation_plan', 'plan_id', self._plan_by_handle[plan_handle])
if not plan:
return self._finish('inspect_plan', fn__error('PLAN_UNAVAILABLE', 'the observed plan no longer exists'))
owner = self._get('robot_unit', 'robot_id', plan.get('robot_id'))
active_obstacles = {row.get('obstacle_id') for row in self._all('obstacle') if row.get('status') == 'active'}
blockers = set(plan.get('blocked_by_obstacle_ids') or []) & active_obstacles
order = next((row for row in self._orders.values() if row['task_id'] == plan.get('task_id')), None)
task = self._get('service_task', 'task_id', plan.get('task_id'))
obj = self._get('object_item', 'object_id', (order or {}).get('object_id'))
required = self._required_destination(task, obj) if task else None
return self._finish('inspect_plan', fn__success({'plan_handle': plan_handle, 'status': plan.get('status'), 'owner': {'display_name': (owner or {}).get('display_name'), 'operational_status': (owner or {}).get('operational_status')}, 'blocker_count': len(blockers), 'owned_by_controlled_robot': plan.get('robot_id') == self.robot_id, 'origin_is_owner_current_room': bool(owner and plan.get('origin_room_id') == owner.get('current_room_id')), 'destination_matches_unfinished_work': plan.get('destination_room_id') == required, 'route_is_contiguous': self._route_consistent(plan)}))
def handoff_work_order(self, work_order):
order = self._order(work_order)
if not order:
return self._finish('handoff_work_order', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
def mutate():
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not obj or (not actor):
return fn__error('WORK_ORDER_UNAVAILABLE', 'the work-order records are incomplete')
source_id = task.get('assigned_robot_id')
source = self._get('robot_unit', 'robot_id', source_id)
active = self._active_assignments(task_id=task['task_id'], robot_id=source_id)
if not source or source_id == self.robot_id or len(active) != 1:
return fn__error('HANDOFF_SOURCE_INVALID', 'the work order has no coherent peer assignment')
if actor.get('operational_status') != 'available' or actor.get('active_task_id') or actor.get('payload_object_id'):
return fn__error('CONTROLLED_ROBOT_NOT_AVAILABLE', "finish the controlled robot's current work before handoff")
held = obj.get('held_by_robot_id') is not None or source.get('payload_object_id') is not None
if held and (not (obj.get('held_by_robot_id') == source_id and source.get('payload_object_id') == obj.get('object_id'))):
return fn__error('CUSTODY_INCOHERENT', 'peer and parcel custody records disagree')
if held and actor.get('current_room_id') != source.get('current_room_id'):
return fn__error('HANDOFF_ROOM_MISMATCH', 'held cargo requires both robots in the same room')
source_status = source.get('operational_status')
old_steps = self._task_steps(task['task_id'])
old_plans = [row for row in self._all('navigation_plan') if row.get('task_id') == task['task_id']]
domain = mod_importlib.import_module('mcp_servers.robot_domain')
native = domain.execute_task_handoff(self.sm, task_id=task['task_id'], from_robot_id=source_id, to_robot_id=self.robot_id, handoff_room_id=source.get('current_room_id'), handoff_reason='Interrupted work-order recovery.')
if native.get('status') != 'success':
return fn__error(fn__code(native), 'handoff was rejected')
self.sm.update_entity('robot_unit', source_id, {'operational_status': source_status}, id_field='robot_id')
for row in old_steps:
self._save('task_step', row)
for row in old_plans:
self._save('navigation_plan', row)
current = self._get('service_task', 'task_id', task['task_id'])
return fn__success({'work_order': work_order, 'status': (current or {}).get('status'), 'physical_custody_transferred': held, 'former_robot_status': source_status})
return self._attempt('handoff_work_order', mutate)
def _validate_supplied_route(self, handles, start, destination):
rooms = [start]
distance = 0.0
current = start
for handle in handles:
edge = self._get('map_edge', 'edge_id', self._edge_by_handle[handle])
nxt = self._edge_destination(edge or {}, current)
if not edge or not nxt:
return (None, 0.0, 'ROUTE_NOT_CONTIGUOUS')
if not self._edge_usable(edge, nxt):
return (None, 0.0, 'ROUTE_NOT_TRAVERSABLE')
rooms.append(nxt)
current = nxt
distance += float(edge.get('distance_m') or 1)
if current != destination:
return (None, 0.0, 'ROUTE_WRONG_DESTINATION')
return (rooms, distance, None)
def _new_plan_id(self, task_id):
existing = {row.get('plan_id') for row in self._all('navigation_plan')}
ordinal = 1
while True:
token = mod_hashlib.sha256(f'{self.handle_seed}:recovery-plan:{task_id}:{ordinal}'.encode('utf-8')).hexdigest()[:16]
candidate = f'plan-recovery-{token}'
if candidate not in existing:
return candidate
ordinal += 1
def resolve_work_order(self, work_order, action, route_exit_handles=None):
order = self._order(work_order)
if not order:
return self._finish('resolve_work_order', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
if action not in {'retry', 'reroute'} or (route_exit_handles is not None and (not isinstance(route_exit_handles, list) or not all((isinstance(value, str) for value in route_exit_handles)))):
return self._finish('resolve_work_order', fn__error('INVALID_ARGUMENTS', 'action or route handles do not match the tool schema'))
handles = list(route_exit_handles or [])
if any((handle not in self.issued_exit_handles or handle not in self._edge_by_handle for handle in handles)):
return self._finish('resolve_work_order', fn__error('EXIT_NOT_KNOWN', 'every route exit must have been observed locally'))
def mutate():
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not actor or task.get('status') != 'blocked':
return fn__error('WORK_ORDER_NOT_BLOCKED', 'only a blocked work order can be resolved')
if task.get('assigned_robot_id') != self.robot_id or len(self._active_assignments(task_id=task['task_id'], robot_id=self.robot_id)) != 1:
return fn__error('ASSIGNMENT_REQUIRED', 'the blocked work order is not coherently assigned to the controlled robot')
if int(actor.get('battery_percent') or 0) < 10:
return fn__error('LOW_BATTERY_PRECONDITION_FAILED', 'robot battery is below the recovery threshold')
destination = self._required_destination(task, obj)
now = fn__timestamp()
plan = None
if action == 'retry':
if handles:
return fn__error('ROUTE_NOT_ALLOWED_FOR_RETRY', 'retry reuses an existing plan')
active_obstacles = {row.get('obstacle_id') for row in self._all('obstacle') if row.get('status') == 'active'}
candidates = [row for row in self._all('navigation_plan') if row.get('task_id') == task['task_id'] and row.get('robot_id') == self.robot_id and (row.get('status') == 'draft') and (row.get('origin_room_id') == actor.get('current_room_id')) and (row.get('destination_room_id') == destination) and (not set(row.get('blocked_by_obstacle_ids') or []) & active_obstacles) and self._route_currently_usable(row)]
if len(candidates) != 1:
return fn__error('REUSABLE_PLAN_NOT_FOUND', 'retry requires one current, unblocked, controlled draft plan')
plan = candidates[0]
plan.update(status='active', updated_at=now)
self._save('navigation_plan', plan)
else:
(route, distance, failure) = self._validate_supplied_route(handles, actor.get('current_room_id'), destination)
if failure:
return fn__error(failure, 'the supplied observed route cannot resume this work order')
plan = {'plan_id': self._new_plan_id(task['task_id']), 'facility_id': task.get('facility_id'), 'robot_id': self.robot_id, 'task_id': task['task_id'], 'origin_room_id': actor.get('current_room_id'), 'destination_room_id': destination, 'route_room_ids': route, 'route_edge_ids': [self._edge_by_handle[value] for value in handles], 'status': 'active', 'blocked_by_obstacle_ids': [], 'estimated_distance_m': round(distance, 2), 'estimated_duration_seconds': max(30, len(handles) * 30), 'created_at': now, 'updated_at': now}
self._save('navigation_plan', plan)
for step in self._task_steps(task['task_id']):
if step.get('status') == 'blocked':
step.update(status='in_progress', blocked_reason=None, updated_at=now)
self._save('task_step', step)
task.update(status='in_progress', failure_reason=None, updated_at=now)
actor.update(operational_status='busy', active_task_id=task['task_id'], updated_at=now)
self._save('service_task', task)
self._save('robot_unit', actor)
handle = self._handle('plan', plan['plan_id'])
self.issued_plan_handles.add(handle)
return fn__success({'work_order': work_order, 'status': 'in_progress', 'action': action, 'plan_handle': handle})
return self._attempt('resolve_work_order', mutate)
def _robot_experience_stream_adapter_init(self, *args, **kwargs):
self._scanned_rooms_this_episode: set[str] = set()
self._accessed_storage_this_episode: set[str] = set()
self._robot_experience_stream_adapter_init_2(*args, **kwargs)
self.tools = ext_deepcopy(DATA_TOOLS_5)
def _robot_state_action_adapter_traverse_known_exit(self, exit_handle):
if not isinstance(exit_handle, str) or exit_handle not in self.issued_exit_handles or exit_handle not in self._edge_by_handle:
return self._finish('traverse_known_exit', fn__error('EXIT_NOT_KNOWN', 'scan the current room before using an exit'))
robot = self._robot()
edge = self._get('map_edge', 'edge_id', self._edge_by_handle[exit_handle])
destination = self._edge_destination(edge or {}, (robot or {}).get('current_room_id'))
if not robot or not edge or (not destination):
return self._finish('traverse_known_exit', fn__error('EXIT_CHANGED', 'the observed exit is not adjacent now'))
if not self._edge_usable(edge, destination):
return self._finish('traverse_known_exit', fn__error('EXIT_BLOCKED', 'the observed exit is not traversable now'))
cost = max(1, mod_math.ceil(float(edge.get('distance_m') or 1) / 10))
if int(robot.get('battery_percent') or 0) < cost:
return self._finish('traverse_known_exit', fn__error('INSUFFICIENT_BATTERY', 'movement cannot be paid', {'battery_percent': int(robot.get('battery_percent') or 0), 'battery_cost': 0}))
previous_name = self._room_name(robot.get('current_room_id'))
domain = mod_importlib.import_module('mcp_servers.robot_domain')
result = domain.move_robot_to_room(self.sm, robot_id=self.robot_id, destination_room_id=destination, battery_cost_percent=cost)
if result.get('status') != 'success':
return self._finish('traverse_known_exit', fn__error(fn__code(result), 'movement was rejected', {'battery_percent': self._battery(), 'battery_cost': 0}))
now = fn__timestamp()
actor = self._robot()
active_task_id = (actor or {}).get('active_task_id')
task = self._get('service_task', 'task_id', active_task_id)
if task:
for step in self._task_steps(active_task_id):
if step.get('step_type') == 'navigate' and step.get('room_id') == destination and (step.get('status') in {'pending', 'in_progress'}):
step.update(status='completed', completed_at=now, blocked_reason=None, updated_at=now)
self._save('task_step', step)
if task.get('status') == 'assigned':
task.update(status='in_progress', updated_at=now)
self._save('service_task', task)
break
for plan in self._all('navigation_plan'):
if plan.get('robot_id') == self.robot_id and plan.get('status') == 'active' and (plan.get('destination_room_id') == destination):
plan.update(status='completed', updated_at=now)
self._save('navigation_plan', plan)
return self._finish('traverse_known_exit', fn__success({'previous_room': {'name': previous_name}, 'current_room': {'name': self._room_name(destination)}, 'battery_percent': self._battery(), 'battery_cost': cost}), cost)
def _robot_experience_adapter_call(self, name, arguments):
if name not in DATA__TOOL_BY_NAME:
return self._finish(str(name), fn__error('UNKNOWN_TOOL', 'tool is not in the public experience profile'))
if not self._schema_valid(name, arguments):
return self._finish(name, fn__error('INVALID_ARGUMENTS', 'arguments do not match the tool schema'))
return getattr(self, name)(**ext_deepcopy(arguments))
def _robot_experience_stream_adapter_snapshot(self):
"""Return the complete private checkpoint used for replay and grading."""
state = self._robot_experience_stream_adapter_snapshot_2()
state['schema'] = 'robot-experience-stream-snapshot/v3'
state['episode_metering'] = {'scanned_room_ids': sorted(self._scanned_rooms_this_episode), 'accessed_storage_handles': sorted(self._accessed_storage_this_episode)}
return state
def _robot_experience_stream_adapter_read_work_order(self, work_order):
result = self._robot_experience_adapter_read_work_order(work_order)
if result.get('status') == 'success':
result['data']['policy_version'] = self.public_policy_version
return result
def _robot_experience_adapter_storage_view(self, room, unit):
objects = []
for obj in sorted(self._all('object_item'), key=lambda row: row.get('object_id', '')):
if obj.get('current_room_id') == room['room_id'] and (not obj.get('held_by_robot_id')) and (obj.get('storage_unit_id') == unit['unit_id']):
handle = self._handle('object', obj['object_id'])
self.issued_object_handles.add(handle)
objects.append({'object_handle': handle, 'display_name': obj.get('display_name'), 'handling_state': obj.get('handling_state')})
return {'storage_handle': self._handle('storage', unit['unit_id']), 'display_name': unit.get('display_name') or f"Storage-{self._handle('storage', unit['unit_id'])[-8:].upper()}", 'access_state': 'open', 'stock_group': unit.get('stock_group'), 'objects': objects, 'calibration_records': ext_deepcopy(unit.get('calibration_records', []))}
def _robot_experience_adapter_inspect_local_object(self, object_handle):
if not isinstance(object_handle, str) or object_handle not in self.issued_object_handles or object_handle not in self._object_by_handle:
return self._finish('inspect_local_object', fn__error('OBJECT_NOT_OBSERVED', 'observe the parcel locally before inspecting it'))
robot = self._robot()
obj = self._get('object_item', 'object_id', self._object_by_handle[object_handle])
if not robot or not obj or (not self._object_visible_in_room(obj, robot.get('current_room_id'))):
return self._finish('inspect_local_object', fn__error('OBJECT_NOT_LOCAL', 'the observed parcel is no longer visible here'))
matching_order = next((order for order in self._orders.values() if order['object_id'] == obj['object_id']), None)
if matching_order is not None:
(task, _) = self._work_context(matching_order)
if task and robot.get('current_room_id') == task.get('source_room_id') and (obj.get('current_room_id') == task.get('source_room_id')) and (not obj.get('held_by_robot_id')):
task.update(source_inspection_receipt={'status': 'verified', 'object_id': obj['object_id'], 'source_room_id': task.get('source_room_id'), 'handling_code': obj.get('handling_code'), 'stock_group': task.get('stock_group')}, updated_at=fn__timestamp())
self._save('service_task', task)
self._inspected_target_ids.add(obj['object_id'])
return self._finish('inspect_local_object', fn__success({'object': {'object_handle': object_handle, 'display_name': obj.get('display_name'), 'handling_state': obj.get('handling_state'), 'handling_code': obj.get('handling_code')}}))
def _robot_experience_adapter_pickup(self, work_order, object_handle):
order = self._order(work_order)
if not order:
return self._finish('pickup', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
(task, obj) = self._work_context(order)
if not task or not obj or (not self._source_inspection_valid(order, task, obj)) or (task.get('transfer_profile_submitted') not in DATA_TRANSFER_PROFILES) or (task.get('transfer_policy_version') != task.get('policy_version')) or (task.get('transfer_object_id') != obj['object_id']):
return self._attempt('pickup', lambda : fn__error('TRANSFER_NOT_CONFIGURED', 'pickup requires a current parcel-bound transfer configuration'))
return self._robot_state_action_adapter_pickup(work_order, object_handle)
def _robot_experience_adapter_import_observation_ledger(self, ledger):
if not isinstance(ledger, dict):
raise ValueError('observation ledger must be an object')
storage_handles = ledger.get('storage_handles', [])
opened_handles = ledger.get('opened_storage_handles', [])
if not isinstance(storage_handles, list) or not all((isinstance(value, str) for value in storage_handles)):
raise ValueError('storage_handles must be a list of strings')
if not isinstance(opened_handles, list) or not all((isinstance(value, str) for value in opened_handles)):
raise ValueError('opened_storage_handles must be a list of strings')
accepted_storage = set(storage_handles) & set(self._storage_by_handle)
accepted_opened = set(opened_handles) & accepted_storage
before_storage = len(self.issued_storage_handles)
self.issued_storage_handles.update(accepted_storage)
for handle in accepted_opened:
resolved = self._storage(handle)
if resolved and resolved[1].get('opened') is not True:
(room, unit) = resolved
unit['opened'] = True
room['storage_units'] = [unit if row.get('unit_id') == unit['unit_id'] else row for row in room.get('storage_units', [])]
self._save('room', room)
allowed_object_handles = set()
for (handle, object_id) in self._object_by_handle.items():
obj = self._get('object_item', 'object_id', object_id)
storage = self._storage_for_object(obj or {}) if obj else None
if not storage or storage[1].get('opened') is True or obj.get('held_by_robot_id'):
allowed_object_handles.add(handle)
sanitized = ext_deepcopy(ledger)
sanitized['object_handles'] = [handle for handle in ledger.get('object_handles', []) if handle in allowed_object_handles]
counts = self._robot_state_action_adapter_import_observation_ledger(sanitized)
inspected = ledger.get('inspected_target_object_ids', [])
if not isinstance(inspected, list) or not all((isinstance(value, str) for value in inspected)):
raise ValueError('inspected_target_object_ids must be a list of strings')
durable_targets = set()
for order in self._orders.values():
(task, obj) = self._work_context(order)
if task and obj and self._source_inspection_valid(order, task, obj):
durable_targets.add(order['object_id'])
before_inspected = len(self._inspected_target_ids)
self._inspected_target_ids.update(set(inspected) & durable_targets)
counts['storage_handles_imported'] = len(self.issued_storage_handles) - before_storage
counts['opened_storage_handles_imported'] = len(accepted_opened)
counts['inspected_target_object_ids_imported'] = len(self._inspected_target_ids) - before_inspected
return counts
def _robot_experience_adapter_grade(self):
rows = []
total = 0.0
for (work_order, order) in self._orders.items():
(task, obj) = self._work_context(order)
steps = self._task_steps(order['task_id'])
assignments = [row for row in self._all('task_assignment') if row.get('task_id') == order['task_id']]
plans = [row for row in self._all('navigation_plan') if row.get('task_id') == order['task_id']]
source_verified = bool(task and obj and self._source_inspection_valid(order, task, obj))
receipt = (task or {}).get('intake_receipt') or {}
authorized = bool(task and obj and (task.get('transfer_authorized') is True) and (receipt.get('status') == 'accepted') and (receipt.get('object_id') == obj.get('object_id')) and (receipt.get('policy_version') == task.get('policy_version')) and (receipt.get('destination_room_id') == order['destination_room_id']))
custody_obtained = any((row.get('step_type') == 'pick' and row.get('status') == 'completed' for row in steps))
physical = bool(authorized and obj and (obj.get('current_room_id') == order['destination_room_id']) and (not obj.get('held_by_robot_id')) and (obj.get('handling_state') in {'stored', 'delivered'}))
workflow = bool(physical and task and (task.get('status') == 'completed') and (obj.get('handling_state') == 'delivered') and steps and all((row.get('status') == 'completed' for row in steps)) and (not any((row.get('status') == 'active' for row in assignments))) and any((row.get('status') == 'completed' for row in assignments)) and (not any((row.get('status') == 'active' for row in plans))) and (not any((row.get('payload_object_id') == order['object_id'] for row in self._all('robot_unit')))) and (not any((row.get('active_task_id') == order['task_id'] for row in self._all('robot_unit')))))
anchors = {'source_verified': 2.5 if source_verified else 0.0, 'transfer_authorized': 5.0 if authorized else 0.0, 'custody_obtained': 5.0 if custody_obtained else 0.0, 'physical_delivery': 5.0 if physical else 0.0, 'workflow_completed': 7.5 if workflow else 0.0}
score = sum(anchors.values())
total += score
rows.append({'work_order': work_order, **{key: value > 0 for (key, value) in anchors.items()}, 'score': score, 'max_score': 25.0})
components = {f'item_{index}_{name}': {'correct': int(row[name]), 'total': 1} for (index, row) in enumerate(rows, 1) for name in ('source_verified', 'transfer_authorized', 'custody_obtained', 'physical_delivery', 'workflow_completed')}
return {'score': total, 'max_score': 100.0, 'orders': rows, 'public_components': components}
def _robot_state_action_adapter_release(self, work_order):
order = self._order(work_order)
if not order:
return self._finish('release', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
def mutate():
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not obj or (not actor):
return fn__error('WORK_ORDER_UNAVAILABLE', 'the work-order records are incomplete')
if task.get('status') not in {'assigned', 'in_progress'}:
return fn__error('WORK_ORDER_NOT_RELEASABLE', 'blocked or terminal work cannot record release')
if task.get('assigned_robot_id') != self.robot_id or len(self._active_assignments(task_id=task['task_id'], robot_id=self.robot_id)) != 1:
return fn__error('ASSIGNMENT_REQUIRED', "release requires the controlled robot's active assignment")
if actor.get('payload_object_id') != obj.get('object_id') or obj.get('held_by_robot_id') != self.robot_id:
return fn__error('CUSTODY_MISMATCH', 'the controlled robot does not hold this work-order parcel')
if actor.get('current_room_id') != order['destination_room_id']:
return fn__error('WRONG_DESTINATION', 'the parcel can only be released at the work-order destination')
steps = self._task_steps(task['task_id'])
place_index = next((index for (index, row) in enumerate(steps) if row.get('step_type') == 'place'), None)
if place_index is None or steps[place_index].get('status') not in {'pending', 'in_progress'} or any((row.get('status') != 'completed' for row in steps[:place_index])):
return fn__error('WORKFLOW_NOT_READY_FOR_RELEASE', 'earlier work-order obligations are not complete')
domain = mod_importlib.import_module('mcp_servers.robot_domain')
native = domain.release_object_at_room(self.sm, object_id=obj['object_id'], robot_id=self.robot_id, room_id=order['destination_room_id'], delivery_state='stored', task_id=task['task_id'])
if native.get('status') != 'success':
return fn__error(fn__code(native), 'release was rejected')
return fn__success({'work_order': work_order, 'destination': {'name': self._room_name(order['destination_room_id'])}, 'physical_state': 'stored'})
return self._attempt('release', mutate)
def _robot_state_action_adapter_finalize(self, work_order):
order = self._order(work_order)
if not order:
return self._finish('finalize', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
def mutate():
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not obj or (not actor):
return fn__error('WORK_ORDER_UNAVAILABLE', 'the work-order records are incomplete')
if task.get('status') not in {'assigned', 'in_progress'}:
return fn__error('WORK_ORDER_NOT_COMPLETABLE', 'the work order is blocked or terminal')
steps = self._task_steps(task['task_id'])
if not steps or any((row.get('status') != 'completed' for row in steps)):
return fn__error('REQUIRED_STEPS_OPEN', 'finalize cannot create or skip execution evidence')
if obj.get('current_room_id') != order['destination_room_id'] or obj.get('held_by_robot_id') or obj.get('handling_state') != 'stored':
return fn__error('PHYSICAL_DELIVERY_INCOMPLETE', 'the parcel must already be stored unheld at the destination')
if any((row.get('payload_object_id') == obj.get('object_id') for row in self._all('robot_unit'))):
return fn__error('PAYLOAD_REFERENCE_CONFLICT', 'a robot still references the delivered parcel')
active = self._active_assignments(task_id=task['task_id'])
if task.get('assigned_robot_id') != self.robot_id or len(active) != 1 or active[0].get('robot_id') != self.robot_id or (actor.get('active_task_id') != task['task_id']) or (actor.get('operational_status') != 'busy'):
return fn__error('ASSIGNMENT_INCOHERENT', 'strict completion requires one coherent controlled assignment')
now = fn__timestamp()
assignment = active[0]
assignment.update(status='completed', released_at=now, updated_at=now)
self._save('task_assignment', assignment)
for plan in self._all('navigation_plan'):
if plan.get('task_id') == task['task_id'] and plan.get('robot_id') == self.robot_id and (plan.get('status') in {'active', 'draft'}):
plan.update(status='completed', updated_at=now)
self._save('navigation_plan', plan)
actor.update(operational_status='available', active_task_id=None, payload_object_id=None, updated_at=now)
obj.update(handling_state='delivered', held_by_robot_id=None, current_room_id=order['destination_room_id'], updated_at=now)
task.update(status='completed', completed_at=now, failure_reason=None, updated_at=now)
self._save('robot_unit', actor)
self._save('object_item', obj)
self._save('service_task', task)
return fn__success({'work_order': work_order, 'status': 'completed', 'object_state': 'delivered', 'controlled_robot_status': 'available'})
return self._attempt('finalize', mutate)
def _robot_state_action_adapter_export_observation_ledger(self):
return {'exit_handles': sorted(self.issued_exit_handles), 'object_handles': sorted(self.issued_object_handles), 'plan_handles': sorted(self.issued_plan_handles), 'robot_handles': sorted(self.issued_robot_handles), 'work_orders': sorted(self.issued_work_orders)}
def _robot_experience_stream_adapter_init_2(self, sm, *, active_object_ids, public_policy_version, expected_rule_epoch, facility_id, **kwargs):
if not isinstance(active_object_ids, set) or len(active_object_ids) != 4:
raise ValueError('active_object_ids must contain exactly four objects')
if public_policy_version not in {'PV-18', 'PV-19'}:
raise ValueError('unknown public policy version')
if expected_rule_epoch not in {'pre', 'post'}:
raise ValueError('unknown rule epoch')
self.active_object_ids = frozenset(active_object_ids)
self.public_policy_version = public_policy_version
self.expected_rule_epoch = expected_rule_epoch
self.facility_id = facility_id
self._robot_experience_adapter_init(sm, **kwargs)
self.tools = ext_deepcopy(DATA_TOOLS_4)
inventory = {row['object_id'] for row in self._all('object_item')}
if (missing := (self.active_object_ids - inventory)):
raise ValueError(f'active episode references missing objects: {sorted(missing)}')
facility = self._get('facility', 'facility_id', facility_id)
if facility is None:
raise ValueError('stream facility is missing')
if facility.get('experience_rule_epoch') != expected_rule_epoch:
raise ValueError('physical state rule epoch does not match the requested episode')
if facility.get('experience_policy_version') != public_policy_version:
raise ValueError('physical state policy version does not match the requested episode')
for order in self._orders.values():
(task, obj) = self._work_context(order)
if task is None or obj is None:
raise ValueError('active episode has an incomplete order')
if obj['object_id'] not in self.active_object_ids:
raise ValueError('rubric contains a non-active object')
if task.get('experience_activation_state') != 'active':
raise ValueError('active service task is not activated')
if obj.get('experience_activation_state') != 'active':
raise ValueError('active parcel is not activated')
if task.get('experience_policy_version') != public_policy_version:
raise ValueError('service task policy version differs from the episode')
def _robot_experience_stream_adapter_snapshot_2(self):
state = self._robot_experience_adapter_snapshot()
state['schema'] = 'robot-experience-stream-snapshot/v2'
state['active_object_ids'] = sorted(self.active_object_ids)
state['public_policy_version'] = self.public_policy_version
state['rule_epoch'] = self.expected_rule_epoch
return state
def _robot_experience_adapter_read_work_order(self, work_order):
order = self._order(work_order)
if not order:
return self._finish('read_work_order', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
(task, obj) = self._work_context(order)
if not task or not obj:
return self._finish('read_work_order', fn__error('WORK_ORDER_UNAVAILABLE', 'the work-order records are incomplete'))
if (task.get('intake_receipt') or {}).get('status') == 'accepted':
transfer_state = 'intake_accepted'
elif task.get('transfer_profile_submitted'):
transfer_state = 'configured_unverified'
else:
transfer_state = 'unconfigured'
assigned = self._get('robot_unit', 'robot_id', task.get('assigned_robot_id'))
return self._finish('read_work_order', fn__success({'work_order': work_order, 'status': task.get('status'), 'destination': {'name': self._room_name(order['destination_room_id'])}, 'object': {'display_name': obj.get('display_name')}, 'stock_group': task.get('stock_group'), 'intake_code': task.get('intake_code'), 'policy_version': task.get('policy_version'), 'transfer_state': transfer_state, 'assigned_robot_display_name': (assigned or {}).get('display_name')}))
def _robot_state_action_adapter_pickup(self, work_order, object_handle):
order = self._order(work_order)
if not order:
return self._finish('pickup', fn__error('WORK_ORDER_NOT_FOUND', 'the work-order reference is unknown'))
if not isinstance(object_handle, str) or object_handle not in self.issued_object_handles or object_handle not in self._object_by_handle:
return self._finish('pickup', fn__error('OBJECT_NOT_OBSERVED', 'observe the parcel locally before pickup'))
def mutate():
(task, obj) = self._work_context(order)
actor = self._robot()
if not task or not obj or (not actor):
return fn__error('WORK_ORDER_UNAVAILABLE', 'the work-order records are incomplete')
if task.get('status') not in {'assigned', 'in_progress'}:
return fn__error('WORK_ORDER_NOT_PICKABLE', 'blocked or terminal work cannot record pickup')
if task.get('assigned_robot_id') != self.robot_id or len(self._active_assignments(task_id=task['task_id'], robot_id=self.robot_id)) != 1:
return fn__error('ASSIGNMENT_REQUIRED', "pickup requires the controlled robot's active assignment")
if self._object_by_handle[object_handle] != order['object_id']:
return fn__error('WORK_ORDER_OBJECT_MISMATCH', 'the observed parcel does not belong to this work order')
if actor.get('payload_object_id') or obj.get('held_by_robot_id') or obj.get('current_room_id') != actor.get('current_room_id') or (actor.get('current_room_id') != task.get('source_room_id')):
return fn__error('PICKUP_LOCATION_OR_CUSTODY_INVALID', 'the work-order parcel is not locally pickable')
steps = self._task_steps(task['task_id'])
pick_index = next((index for (index, row) in enumerate(steps) if row.get('step_type') == 'pick'), None)
if pick_index is None or steps[pick_index].get('status') not in {'pending', 'in_progress'}:
return fn__error('PICK_STEP_NOT_OPEN', 'the pickup obligation is not open')
now = fn__timestamp()
for step in steps[:pick_index]:
if step.get('step_type') == 'navigate' and step.get('room_id') == actor.get('current_room_id') and (step.get('status') in {'pending', 'in_progress'}):
step.update(status='completed', completed_at=now, blocked_reason=None, updated_at=now)
self._save('task_step', step)
elif step.get('status') != 'completed':
return fn__error('PRIOR_STEP_OPEN', 'pickup requires earlier obligations to be complete')
domain = mod_importlib.import_module('mcp_servers.robot_domain')
native = domain.attach_object_to_robot(self.sm, object_id=obj['object_id'], robot_id=self.robot_id, task_id=task['task_id'])
if native.get('status') != 'success':
return fn__error(fn__code(native), 'pickup was rejected')
task = self._get('service_task', 'task_id', task['task_id'])
if task and task.get('status') == 'assigned':
task.update(status='in_progress', updated_at=now)
self._save('service_task', task)
return fn__success({'work_order': work_order, 'object_handle': object_handle, 'handling_state': 'in_transit'})
return self._attempt('pickup', mutate)
def _robot_state_action_adapter_import_observation_ledger(self, ledger):
if not isinstance(ledger, dict):
raise ValueError('observation ledger must be an object')
self._refresh_plan_handles()
specs = {'exit_handles': (self.issued_exit_handles, set(self._edge_by_handle)), 'object_handles': (self.issued_object_handles, set(self._object_by_handle)), 'plan_handles': (self.issued_plan_handles, set(self._plan_by_handle)), 'robot_handles': (self.issued_robot_handles, set(self._robot_by_handle)), 'work_orders': (self.issued_work_orders, set(self._orders))}
counts = {}
for (key, (target, known)) in specs.items():
values = ledger.get(key, [])
if not isinstance(values, list) or not all((isinstance(value, str) for value in values)):
raise ValueError(f'{key} must be a list of strings')
accepted = set(values) & known
before = len(target)
target.update(accepted)
counts[f'{key}_imported'] = len(target) - before
return counts
def _robot_experience_adapter_init(self, sm, *, robot_id, handle_seed, task_ids, rubric, rule_table=None):
if not isinstance(rubric, dict) or rubric.get('version') != 'robot-experience-rubric/v1':
raise ValueError('unsupported robot experience rubric')
if rubric.get('policy_version') != 'PV-18':
raise ValueError('rubric policy version does not match the adapter')
home_room_id = rubric.get('home_room_id')
if not isinstance(home_room_id, str) or not home_room_id:
raise ValueError('rubric must define a home_room_id')
legacy_rubric = {'version': 'robot-state-action-rubric/v1', 'orders': ext_deepcopy(rubric.get('orders'))}
self._robot_state_action_adapter_init(sm, robot_id=robot_id, handle_seed=handle_seed, task_ids=task_ids, rubric=legacy_rubric)
self.tools = ext_deepcopy(DATA_TOOLS_6)
self.home_room_id = home_room_id
self.rule_table = fn__validate_rule_table(rule_table)
self._rubric_v3 = ext_deepcopy(rubric)
self._inspected_target_ids: set[str] = set()
self._storage_by_handle: dict[str, tuple[str, str]] = {}
seen_unit_ids: set[str] = set()
for room in self._all('room'):
units = room.get('storage_units', [])
if not isinstance(units, list):
raise ValueError('room storage_units must be a list')
for unit in units:
unit_id = unit.get('unit_id') if isinstance(unit, dict) else None
if not isinstance(unit_id, str) or not unit_id or unit_id in seen_unit_ids:
raise ValueError('storage unit IDs must be unique non-empty strings')
if not isinstance(unit.get('stock_group'), str) or not unit['stock_group']:
raise ValueError('storage units must define a stock_group')
if not isinstance(unit.get('opened'), bool):
raise ValueError('storage units must define boolean opened state')
if not isinstance(unit.get('calibration_records'), list):
raise ValueError('storage calibration_records must be a list')
seen_unit_ids.add(unit_id)
self._storage_by_handle[self._handle('storage', unit_id)] = (room['room_id'], unit_id)
self.issued_storage_handles: set[str] = set()
for (work_order, order) in self._orders.items():
(task, obj) = self._work_context(order)
if not task or not obj:
raise ValueError(f'incomplete records for {work_order}')
if task.get('policy_version') != 'PV-18':
raise ValueError('task policy version does not match the adapter')
if task.get('intake_code') not in DATA_INTAKE_CODES:
raise ValueError('task has an unknown intake code')
if obj.get('handling_code') not in DATA_HANDLING_CODES:
raise ValueError('object has an unknown handling code')
if task.get('stock_group') != obj.get('stock_group'):
raise ValueError('work order and parcel stock groups differ')
if self._source_inspection_valid(order, task, obj):
self._inspected_target_ids.add(obj['object_id'])
def _robot_experience_adapter_snapshot(self):
state = self._robot_state_action_adapter_snapshot()
state['schema'] = 'robot-experience-snapshot/v1'
state['inspected_target_object_ids'] = sorted(self._inspected_target_ids)
return state
def _robot_state_action_adapter_init(self, sm, *, robot_id, handle_seed, task_ids, rubric):
if not isinstance(robot_id, str) or not robot_id:
raise ValueError('robot_id must be a non-empty string')
if not isinstance(handle_seed, str) or not handle_seed:
raise ValueError('handle_seed must be a non-empty string')
if not isinstance(task_ids, list) or len(task_ids) != 4 or len(set(task_ids)) != 4 or (not all((isinstance(x, str) and x for x in task_ids))):
raise ValueError('task_ids must contain four unique strings')
if not isinstance(rubric, dict) or rubric.get('version') != 'robot-state-action-rubric/v1':
raise ValueError('unsupported robot state-action rubric')
orders = rubric.get('orders')
if not isinstance(orders, list) or len(orders) != 4:
raise ValueError('rubric must contain exactly four orders')
self.sm = sm
self.robot_id = robot_id
self.handle_seed = handle_seed
self.tools = ext_deepcopy(DATA_TOOLS_7)
self._task_ids = tuple(task_ids)
self._orders: dict[str, dict[str, str]] = {}
for row in orders:
if not isinstance(row, dict) or any((not isinstance(row.get(key), str) or not row[key] for key in ('work_order', 'task_id', 'object_id', 'destination_room_id'))):
raise ValueError('rubric order fields must be non-empty strings')
if row['work_order'] in self._orders:
raise ValueError('work_order values must be unique')
self._orders[row['work_order']] = {key: row[key] for key in ('work_order', 'task_id', 'object_id', 'destination_room_id')}
if set(self._task_ids) != {row['task_id'] for row in self._orders.values()}:
raise ValueError('task_ids and rubric orders differ')
if self._get('robot_unit', 'robot_id', robot_id) is None:
raise ValueError('controlled robot does not exist')
self._edge_by_handle = {self._handle('exit', row['edge_id']): row['edge_id'] for row in self._all('map_edge')}
self._object_by_handle = {self._handle('object', row['object_id']): row['object_id'] for row in self._all('object_item')}
self._robot_by_handle = {self._handle('robot', row['robot_id']): row['robot_id'] for row in self._all('robot_unit')}
self._plan_by_handle: dict[str, str] = {}
self.issued_exit_handles: set[str] = set()
self.issued_object_handles: set[str] = set()
self.issued_plan_handles: set[str] = set()
self.issued_robot_handles: set[str] = set()
self.issued_work_orders: set[str] = set(self._orders)
self._actions: list[dict[str, ext_Any]] = []
self._next_action_index = 1
self._refresh_plan_handles()
def _robot_state_action_adapter_snapshot(self):
state: dict[str, ext_Any] = {'schema': 'robot-state-action-snapshot/v1'}
relevant_tasks = set(self._task_ids)
for (output_key, (entity, id_field)) in DATA__SNAPSHOT_TABLES.items():
rows = self._all(entity)
if entity == 'service_task':
rows = [row for row in rows if row.get('task_id') in relevant_tasks]
elif entity in {'task_step', 'task_assignment', 'navigation_plan'}:
rows = [row for row in rows if row.get('task_id') in relevant_tasks]
state[output_key] = [fn__strip_volatile(row) for row in sorted(rows, key=lambda row: str(row.get(id_field) or ''))]
state['observation_ledger'] = self.export_observation_ledger()
state['action_ledger'] = ext_deepcopy(self._actions)
return state