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# Copyright 2021 The Pigweed Authors
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
"""Facilities for generating TUF target metadata."""
import enum
import hashlib
from typing import Dict, Iterable
from pw_software_update.tuf_pb2 import (CommonMetadata, Hash, HashFunction,
TargetFile, TargetsMetadata)
HASH_FACTORIES = {
HashFunction.SHA256: hashlib.sha256,
}
DEFAULT_HASHES = (HashFunction.SHA256, )
DEFAULT_SPEC_VERSION = "0.0.1"
DEFAULT_METADATA_VERSION = 0
class RoleType(enum.Enum):
"""Set of allowed TUF metadata role types."""
ROOT = 'root'
TARGETS = 'targets'
def gen_common_metadata(
role: RoleType,
spec_version: str = DEFAULT_SPEC_VERSION,
version: int = DEFAULT_METADATA_VERSION) -> CommonMetadata:
"""Generates CommonMetadata."""
return CommonMetadata(role=role.value,
spec_version=spec_version,
version=version)
def gen_targets_metadata(
target_payloads: Dict[str, bytes],
hash_funcs: Iterable['HashFunction.V'] = DEFAULT_HASHES,
version: int = DEFAULT_METADATA_VERSION,
) -> TargetsMetadata:
"""Generates TargetsMetadata the given target payloads."""
target_files = []
for target_file_name, target_payload in target_payloads.items():
target_files.append(
TargetFile(file_name=target_file_name,
length=len(target_payload),
hashes=gen_hashes(target_payload, hash_funcs)))
common_metadata = gen_common_metadata(RoleType.TARGETS, version=version)
return TargetsMetadata(common_metadata=common_metadata,
target_files=target_files)
def gen_hashes(data: bytes,
hash_funcs: Iterable['HashFunction.V']) -> Iterable[Hash]:
"""Computes all the specified hashes over the data."""
result = []
for func in hash_funcs:
if func == HashFunction.UNKNOWN_HASH_FUNCTION:
raise ValueError(
'UNKNOWN_HASH_FUNCTION cannot be used to generate hashes.')
digest = HASH_FACTORIES[func](data).digest()
result.append(Hash(function=func, hash=digest))
return result