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chore: import upstream snapshot with attribution
2026-07-13 12:30:44 +08:00

123 lines
4.4 KiB
Python

# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
# 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
#
# http://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.
# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
import time
from collections.abc import AsyncIterator
from mirage.accessor.s3 import S3Accessor
from mirage.cache.index import IndexCacheStore
from mirage.core.s3._client import _client_kwargs, _key, async_session
from mirage.core.s3.read import _fp_rev_from_response
from mirage.observe.context import record, record_stream, revision_for
from mirage.types import PathSpec
from mirage.utils.errors import enoent
def _is_not_found(exc: Exception) -> bool:
if hasattr(exc, "response"):
code = exc.response.get("Error", {}).get("Code")
return code in ("404", "NoSuchKey")
return False
async def read_stream(
accessor: S3Accessor,
path: PathSpec,
index: IndexCacheStore = None,
chunk_size: int = 8192,
) -> AsyncIterator[bytes]:
"""Async generator yielding chunks of an S3 object.
Args:
accessor (S3Accessor): S3 accessor.
path (PathSpec | str): Object path.
index: Index cache store.
chunk_size (int): Size of each chunk in bytes.
"""
if isinstance(path, str):
path = PathSpec(virtual=path,
directory=path,
resource_path=path.strip("/"))
virtual = path.virtual
path = path.mount_path
pinned_revision = revision_for(virtual)
config = accessor.config
rec = record_stream("read", path, "s3")
session = async_session(config)
async with session.client(**_client_kwargs(config)) as client:
kwargs: dict = {"Bucket": config.bucket, "Key": _key(path, config)}
if pinned_revision is not None:
kwargs["VersionId"] = pinned_revision
try:
response = await client.get_object(**kwargs)
except Exception as exc:
if _is_not_found(exc):
raise enoent(virtual) from exc
raise
if rec is not None:
fingerprint, revision = _fp_rev_from_response(response)
rec.fingerprint = fingerprint
rec.revision = revision
async for chunk in response["Body"].iter_chunks(chunk_size):
if rec is not None:
rec.bytes += len(chunk)
yield chunk
async def range_read(accessor: S3Accessor, path: PathSpec, start: int,
end: int) -> bytes:
"""Read a byte range from an S3 object.
Args:
accessor (S3Accessor): S3 accessor.
path (PathSpec | str): Object path.
start (int): Start byte offset.
end (int): End byte offset (exclusive).
"""
if isinstance(path, str):
path = PathSpec(virtual=path,
directory=path,
resource_path=path.strip("/"))
virtual = path.virtual if isinstance(path, PathSpec) else path
if isinstance(path, PathSpec):
path = path.mount_path
config = accessor.config
start_ms = int(time.monotonic() * 1000)
session = async_session(config)
async with session.client(**_client_kwargs(config)) as client:
kwargs: dict = {
"Bucket": config.bucket,
"Key": _key(path, config),
"Range": f"bytes={start}-{end - 1}",
}
pinned_revision = revision_for(virtual)
if pinned_revision is not None:
kwargs["VersionId"] = pinned_revision
try:
response = await client.get_object(**kwargs)
except Exception as exc:
if _is_not_found(exc):
raise enoent(virtual) from exc
raise
data = await response["Body"].read()
fingerprint, revision = _fp_rev_from_response(response)
record("read",
path,
"s3",
len(data),
start_ms,
fingerprint=fingerprint,
revision=revision)
return data