Download data/environments/eval60_gitlab/runtime.py from sxcn/HERA-Bench: direct link, hf CLI and curl.
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13.5 kB
| """Small offline transaction boundary for reviewed, candidate-specific tools. | |
| This is not a sandbox for hostile Python. The trusted controller runs this | |
| worker in a fresh interpreter for every call and keeps its state output private. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| from contextlib import redirect_stderr, redirect_stdout | |
| from copy import deepcopy | |
| import importlib.util | |
| import json | |
| import math | |
| from pathlib import Path | |
| import re | |
| import sys | |
| from unittest.mock import patch | |
| from jsonschema import Draft202012Validator, FormatChecker, validators | |
| sys.dont_write_bytecode = True | |
| MAX_REQUEST_BYTES = 32768 | |
| MAX_INTERNAL_BYTES = 16 * 1024 * 1024 | |
| DEFAULT_OBSERVATION_BYTES = 32768 | |
| def require(condition, message): | |
| if not condition: | |
| raise ValueError(message) | |
| def canonical(value): | |
| # Reject Python-only coercions such as integer object keys or tuples. | |
| def check(item): | |
| if item is None or type(item) in (str, bool, int): | |
| return | |
| if type(item) is float: | |
| require(math.isfinite(item), 'Nonfinite JSON number') | |
| return | |
| if type(item) is list: | |
| for child in item: | |
| check(child) | |
| return | |
| if type(item) is dict: | |
| require(all(type(key) is str for key in item), 'JSON keys must be strings') | |
| for child in item.values(): | |
| check(child) | |
| return | |
| raise ValueError('Value is not JSON') | |
| check(value) | |
| return json.dumps(value, ensure_ascii=False, allow_nan=False, | |
| sort_keys=True, separators=(',', ':')).encode('utf-8') | |
| def strict(raw): | |
| if type(raw) is bytes: | |
| raw = raw.decode('utf-8', errors='strict') | |
| require(type(raw) is str, 'Expected JSON bytes or text') | |
| def pairs(items): | |
| result = {} | |
| for key, value in items: | |
| require(key not in result, 'Duplicate JSON key') | |
| result[key] = value | |
| return result | |
| value = json.loads(raw, object_pairs_hook=pairs, | |
| parse_constant=lambda _: (_ for _ in ()).throw(ValueError('Nonfinite JSON'))) | |
| canonical(value) | |
| return value | |
| def read(path): | |
| path = Path(path) | |
| require(path.is_file() and not path.is_symlink(), 'Expected a regular file') | |
| return strict(path.read_bytes()) | |
| _TYPE_CHECKER = Draft202012Validator.TYPE_CHECKER.redefine_many({ | |
| 'integer': lambda checker, value: type(value) is int, | |
| 'number': lambda checker, value: type(value) is int or (type(value) is float and math.isfinite(value)), | |
| }) | |
| StrictValidator = validators.extend(Draft202012Validator, type_checker=_TYPE_CHECKER) | |
| # Load the pinned optional format checker by bundle-relative path. It requires | |
| # no network, installed extras, sys.path changes, or historical checkout. | |
| _date_path = Path(__file__).resolve().parent / 'vendor/rfc3339_validator.py' | |
| _date_spec = importlib.util.spec_from_file_location('_curated_rfc3339', _date_path) | |
| _date_module = importlib.util.module_from_spec(_date_spec) | |
| _date_spec.loader.exec_module(_date_module) | |
| def validator(schema): | |
| require(type(schema) in (dict, bool), 'Schema must be a JSON Schema') | |
| canonical(schema) | |
| formats = FormatChecker() | |
| def date_time(value): | |
| return not isinstance(value, str) or _date_module.validate_rfc3339(value.upper()) | |
| visited = set() | |
| def inspect(value): | |
| if type(value) is dict: | |
| if id(value) in visited: | |
| return | |
| visited.add(id(value)) | |
| require(value != {'truncated': True}, 'Truncated schemas are unsupported') | |
| require('$id' not in value and '$dynamicRef' not in value, | |
| 'Schema resource rebasing and dynamic references are unsupported') | |
| if 'format' in value: | |
| require(type(value['format']) is str and value['format'] in formats.checkers, | |
| 'Unsupported schema format') | |
| if '$ref' in value: | |
| ref = value['$ref'] | |
| require(type(ref) is str and (ref == '#' or ref.startswith('#/')), | |
| 'Only local JSON Pointer schema references are allowed') | |
| current = schema | |
| if ref != '#': | |
| for part in ref[2:].split('/'): | |
| part = part.replace('~1', '/').replace('~0', '~') | |
| if type(current) is list: | |
| require(part.isdigit(), 'Invalid local schema reference') | |
| current = current[int(part)] | |
| else: | |
| require(type(current) is dict and part in current, | |
| 'Missing local schema reference') | |
| current = current[part] | |
| require(type(current) in (dict, bool), 'Schema reference is not a schema') | |
| # A local reference may target a schema stored outside the | |
| # standard schema keywords; inspect that target as well. | |
| inspect(current) | |
| # Walk schema locations, not property names or literal const/enum | |
| # data (a business field named "format" is not a schema keyword). | |
| for keyword in ('properties', 'patternProperties', '$defs', 'definitions', 'dependentSchemas'): | |
| if keyword in value: | |
| require(type(value[keyword]) is dict, 'Invalid schema map') | |
| for child in value[keyword].values(): | |
| inspect(child) | |
| for keyword in ('allOf', 'anyOf', 'oneOf', 'prefixItems'): | |
| if keyword in value: | |
| require(type(value[keyword]) is list, 'Invalid schema sequence') | |
| for child in value[keyword]: | |
| inspect(child) | |
| for keyword in ('items', 'contains', 'additionalProperties', 'propertyNames', | |
| 'unevaluatedProperties', 'unevaluatedItems', 'not', 'if', 'then', 'else'): | |
| if keyword in value: | |
| inspect(value[keyword]) | |
| inspect(schema) | |
| Draft202012Validator.check_schema(schema) | |
| return StrictValidator(schema, format_checker=formats) | |
| class _BoundedSink: | |
| def __init__(self): | |
| self.size = 0 | |
| def write(self, value): | |
| self.size += len(value.encode('utf-8')) | |
| require(self.size <= 16384, 'Domain diagnostic output exceeded limit') | |
| return len(value) | |
| def flush(self): | |
| pass | |
| def load_domain(environment): | |
| environment = Path(environment) | |
| require(environment.is_dir() and not environment.is_symlink(), 'Invalid environment directory') | |
| path = environment / 'domain_tools.py' | |
| require(path.is_file() and not path.is_symlink(), 'Invalid domain module') | |
| spec = importlib.util.spec_from_file_location('_curated_domain_tools', path) | |
| domain = importlib.util.module_from_spec(spec) | |
| # No sys.path injection and no reuse of an earlier module's global state. | |
| sys.modules[spec.name] = domain | |
| with redirect_stdout(_BoundedSink()), redirect_stderr(_BoundedSink()): | |
| spec.loader.exec_module(domain) | |
| require(callable(getattr(domain, 'call_tool', None)), 'Domain call_tool is missing') | |
| descriptors = deepcopy(getattr(domain, 'TOOL_SCHEMAS', None)) | |
| require(type(descriptors) is list and bool(descriptors), 'Tool schemas must be a nonempty list') | |
| names = set() | |
| for item in descriptors: | |
| require(type(item) is dict and set(item) <= { | |
| 'name', 'description', 'input_schema', 'output_schema', 'read_only' | |
| } and {'name', 'description', 'input_schema', 'read_only'} <= set(item), | |
| 'Invalid tool descriptor fields') | |
| name = item['name'] | |
| require(type(name) is str and re.fullmatch(r'[A-Za-z][A-Za-z0-9_-]{0,127}', name) | |
| and name not in names, 'Invalid or duplicate tool name') | |
| names.add(name) | |
| require(type(item['description']) is str and bool(item['description'].strip()), | |
| 'Tool description is required') | |
| require(type(item['read_only']) is bool, 'read_only must be boolean') | |
| schema = item['input_schema'] | |
| require(type(schema) is dict and schema.get('type') == 'object' | |
| and schema.get('additionalProperties') is False, | |
| 'Tool input must explicitly prohibit extra arguments') | |
| validator(schema) | |
| if 'output_schema' in item: | |
| validator(item['output_schema']) | |
| return domain, descriptors | |
| def state_validator(environment): | |
| path = Path(environment) / 'state_schema.json' | |
| return validator(read(path)) if path.exists() else validator({'type': 'object'}) | |
| def error(code, message): | |
| return {'ok': False, 'error': {'code': code, 'message': message}} | |
| def transition(environment, state, name, arguments, *, max_observation_bytes=DEFAULT_OBSERVATION_BYTES): | |
| """Return private {state, observation, dispatched}; never mutate inputs.""" | |
| canonical(state) | |
| canonical(arguments) | |
| require(type(state) is dict, 'State must be an object') | |
| state_check = state_validator(environment) | |
| state_check.validate(state) | |
| domain, descriptors = load_domain(environment) | |
| by_name = {item['name']: item for item in descriptors} | |
| before, working = deepcopy(state), deepcopy(state) | |
| def result(observation, dispatched, next_state=None): | |
| return {'state': deepcopy(before if next_state is None else next_state), | |
| 'observation': deepcopy(observation), 'dispatched': dispatched} | |
| if type(name) is not str or name not in by_name: | |
| return result(error('UNKNOWN_TOOL', 'The requested tool is not public.'), False) | |
| descriptor = by_name[name] | |
| try: | |
| require(type(arguments) is dict, 'Arguments must be an object') | |
| validator(descriptor['input_schema']).validate(arguments) | |
| except Exception: | |
| return result(error('INVALID_ARGUMENTS', 'Arguments do not satisfy the public schema.'), False) | |
| try: | |
| with redirect_stdout(_BoundedSink()), redirect_stderr(_BoundedSink()): | |
| observation = domain.call_tool(working, name, deepcopy(arguments)) | |
| except Exception: | |
| return result(error('DOMAIN_EXECUTION_ERROR', 'The tool could not complete.'), True) | |
| try: | |
| require(type(observation) is dict and type(observation.get('ok')) is bool, | |
| 'Invalid domain envelope') | |
| if observation['ok']: | |
| require(set(observation) == {'ok', 'result'}, 'Invalid success envelope') | |
| else: | |
| require(set(observation) == {'ok', 'error'} and type(observation['error']) is dict, | |
| 'Invalid error envelope') | |
| require(type(observation['error'].get('code')) is str and bool(observation['error']['code']) | |
| and type(observation['error'].get('message')) is str, 'Invalid domain error') | |
| encoded = canonical(observation) | |
| require(type(max_observation_bytes) is int and 512 <= max_observation_bytes <= 1048576, | |
| 'Invalid observation limit') | |
| if len(encoded) > max_observation_bytes: | |
| return result(error('OBSERVATION_LIMIT', 'Tool result exceeds the public response limit.'), True) | |
| if descriptor['read_only'] and canonical(working) != canonical(before): | |
| return result(error('READ_ONLY_VIOLATION', 'A read-only tool attempted to change state.'), True) | |
| if not observation['ok']: | |
| return result(observation, True) | |
| if 'output_schema' in descriptor: | |
| validator(descriptor['output_schema']).validate(observation['result']) | |
| state_check.validate(working) | |
| canonical(working) | |
| except Exception: | |
| return result(error('INVALID_TOOL_RESULT', 'Tool output or state violates its contract.'), True) | |
| return result(observation, True, working) | |
| def main(argv=None): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument('--environment', type=Path, required=True) | |
| parser.add_argument('--max-observation-bytes', type=int, default=DEFAULT_OBSERVATION_BYTES) | |
| args = parser.parse_args(argv) | |
| try: | |
| raw = sys.stdin.buffer.read(MAX_INTERNAL_BYTES + 1) | |
| require(len(raw) <= MAX_INTERNAL_BYTES, 'Internal request exceeds limit') | |
| request = strict(raw) | |
| with (patch('socket.socket', side_effect=RuntimeError('Offline worker forbids network')), | |
| patch('socket.create_connection', side_effect=RuntimeError('Offline worker forbids network'))): | |
| if request == {'action': 'describe'}: | |
| _, descriptors = load_domain(args.environment) | |
| state_validator(args.environment).validate(read(args.environment / 'state.json')) | |
| value = {'tools': descriptors} | |
| else: | |
| require(type(request) is dict and set(request) == {'action', 'state', 'tool', 'arguments'} | |
| and request['action'] == 'transition', 'Invalid internal request') | |
| value = transition(args.environment, request['state'], request['tool'], request['arguments'], | |
| max_observation_bytes=args.max_observation_bytes) | |
| sys.stdout.buffer.write(canonical(value) + b'\n') | |
| return 0 | |
| except Exception: | |
| sys.stdout.buffer.write(canonical({'worker_error': 'RUNTIME_VALIDATION_FAILED'}) + b'\n') | |
| return 1 | |
| if __name__ == '__main__': | |
| raise SystemExit(main()) | |