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123 lines
4.4 KiB
Python
123 lines
4.4 KiB
Python
# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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import time
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from collections.abc import AsyncIterator
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from mirage.accessor.s3 import S3Accessor
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from mirage.cache.index import IndexCacheStore
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from mirage.core.s3._client import _client_kwargs, _key, async_session
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from mirage.core.s3.read import _fp_rev_from_response
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from mirage.observe.context import record, record_stream, revision_for
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from mirage.types import PathSpec
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from mirage.utils.errors import enoent
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def _is_not_found(exc: Exception) -> bool:
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if hasattr(exc, "response"):
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code = exc.response.get("Error", {}).get("Code")
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return code in ("404", "NoSuchKey")
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return False
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async def read_stream(
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accessor: S3Accessor,
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path: PathSpec,
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index: IndexCacheStore = None,
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chunk_size: int = 8192,
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) -> AsyncIterator[bytes]:
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"""Async generator yielding chunks of an S3 object.
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Args:
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accessor (S3Accessor): S3 accessor.
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path (PathSpec | str): Object path.
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index: Index cache store.
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chunk_size (int): Size of each chunk in bytes.
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"""
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if isinstance(path, str):
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path = PathSpec(virtual=path,
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directory=path,
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resource_path=path.strip("/"))
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virtual = path.virtual
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path = path.mount_path
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pinned_revision = revision_for(virtual)
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config = accessor.config
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rec = record_stream("read", path, "s3")
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session = async_session(config)
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async with session.client(**_client_kwargs(config)) as client:
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kwargs: dict = {"Bucket": config.bucket, "Key": _key(path, config)}
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if pinned_revision is not None:
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kwargs["VersionId"] = pinned_revision
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try:
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response = await client.get_object(**kwargs)
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except Exception as exc:
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if _is_not_found(exc):
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raise enoent(virtual) from exc
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raise
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if rec is not None:
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fingerprint, revision = _fp_rev_from_response(response)
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rec.fingerprint = fingerprint
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rec.revision = revision
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async for chunk in response["Body"].iter_chunks(chunk_size):
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if rec is not None:
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rec.bytes += len(chunk)
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yield chunk
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async def range_read(accessor: S3Accessor, path: PathSpec, start: int,
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end: int) -> bytes:
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"""Read a byte range from an S3 object.
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Args:
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accessor (S3Accessor): S3 accessor.
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path (PathSpec | str): Object path.
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start (int): Start byte offset.
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end (int): End byte offset (exclusive).
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"""
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if isinstance(path, str):
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path = PathSpec(virtual=path,
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directory=path,
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resource_path=path.strip("/"))
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virtual = path.virtual if isinstance(path, PathSpec) else path
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if isinstance(path, PathSpec):
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path = path.mount_path
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config = accessor.config
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start_ms = int(time.monotonic() * 1000)
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session = async_session(config)
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async with session.client(**_client_kwargs(config)) as client:
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kwargs: dict = {
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"Bucket": config.bucket,
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"Key": _key(path, config),
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"Range": f"bytes={start}-{end - 1}",
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}
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pinned_revision = revision_for(virtual)
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if pinned_revision is not None:
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kwargs["VersionId"] = pinned_revision
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try:
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response = await client.get_object(**kwargs)
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except Exception as exc:
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if _is_not_found(exc):
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raise enoent(virtual) from exc
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raise
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data = await response["Body"].read()
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fingerprint, revision = _fp_rev_from_response(response)
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record("read",
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path,
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"s3",
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len(data),
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start_ms,
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fingerprint=fingerprint,
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revision=revision)
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return data
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