awswrangler/s3/_fs.py (523 lines of code) (raw):
"""Amazon S3 filesystem abstraction layer (PRIVATE)."""
from __future__ import annotations
import concurrent.futures
import io
import itertools
import logging
import math
import socket
from contextlib import contextmanager
from errno import ESPIPE
from types import TracebackType
from typing import TYPE_CHECKING, Any, BinaryIO, Iterator, cast
import boto3
from botocore.exceptions import ReadTimeoutError
from botocore.loaders import Loader
from botocore.model import ServiceModel
from awswrangler import _utils, exceptions
from awswrangler._config import apply_configs
from awswrangler._distributed import engine
from awswrangler.s3._describe import _describe_object
if TYPE_CHECKING:
from mypy_boto3_s3 import S3Client
_logger: logging.Logger = logging.getLogger(__name__)
_S3_RETRYABLE_ERRORS: tuple[Any, Any, Any] = (socket.timeout, ConnectionError, ReadTimeoutError)
_MIN_WRITE_BLOCK: int = 5_242_880 # 5 MB (5 * 2**20)
_MIN_PARALLEL_READ_BLOCK: int = 5_242_880 # 5 MB (5 * 2**20)
_BOTOCORE_LOADER = Loader()
_S3_JSON_MODEL = _BOTOCORE_LOADER.load_service_model(service_name="s3", type_name="service-2")
_S3_SERVICE_MODEL = ServiceModel(_S3_JSON_MODEL, service_name="s3")
def _snake_to_camel_case(s: str) -> str:
return "".join(c.title() for c in s.split("_"))
def get_botocore_valid_kwargs(function_name: str, s3_additional_kwargs: dict[str, Any]) -> dict[str, Any]:
"""Filter and keep only the valid botocore key arguments."""
s3_operation_model = _S3_SERVICE_MODEL.operation_model(_snake_to_camel_case(function_name))
allowed_kwargs = s3_operation_model.input_shape.members.keys() # type: ignore[union-attr]
return {k: v for k, v in s3_additional_kwargs.items() if k in allowed_kwargs}
def _fetch_range(
range_values: tuple[int, int],
bucket: str,
key: str,
s3_client: "S3Client",
boto3_kwargs: dict[str, Any],
version_id: str | None = None,
) -> tuple[int, bytes]:
start, end = range_values
_logger.debug("Fetching: s3://%s/%s - VersionId: %s - Range: %s-%s", bucket, key, version_id, start, end)
if version_id:
boto3_kwargs["VersionId"] = version_id
resp = _utils.try_it(
f=s3_client.get_object,
ex=_S3_RETRYABLE_ERRORS,
base=0.5,
max_num_tries=6,
Bucket=bucket,
Key=key,
Range=f"bytes={start}-{end - 1}",
**boto3_kwargs,
)
return start, resp["Body"].read()
class _UploadProxy:
def __init__(self, use_threads: bool | int):
self.closed = False
self._exec: concurrent.futures.ThreadPoolExecutor | None
self._results: list[dict[str, str | int]] = []
self._cpus: int = _utils.ensure_cpu_count(use_threads=use_threads)
if self._cpus > 1:
self._exec = concurrent.futures.ThreadPoolExecutor(max_workers=self._cpus)
self._futures: list[Any] = []
else:
self._exec = None
@staticmethod
def _sort_by_part_number(parts: list[dict[str, str | int]]) -> list[dict[str, str | int]]:
return sorted(parts, key=lambda k: k["PartNumber"])
@staticmethod
def _caller(
bucket: str,
key: str,
part: int,
upload_id: str,
data: bytes,
s3_client: "S3Client",
boto3_kwargs: dict[str, Any],
) -> dict[str, str | int]:
_logger.debug("Upload part %s started.", part)
resp = _utils.try_it(
f=s3_client.upload_part,
ex=_S3_RETRYABLE_ERRORS,
base=0.5,
max_num_tries=6,
Bucket=bucket,
Key=key,
Body=data,
PartNumber=part,
UploadId=upload_id,
**boto3_kwargs,
)
_logger.debug("Upload part %s done.", part)
return {"PartNumber": part, "ETag": resp["ETag"]}
def upload(
self,
bucket: str,
key: str,
part: int,
upload_id: str,
data: bytes,
s3_client: "S3Client",
boto3_kwargs: dict[str, Any],
) -> None:
"""Upload Part."""
if self._exec is not None:
_utils.block_waiting_available_thread(seq=self._futures, max_workers=self._cpus)
future = self._exec.submit(
_UploadProxy._caller,
bucket=bucket,
key=key,
part=part,
upload_id=upload_id,
data=data,
s3_client=s3_client,
boto3_kwargs=boto3_kwargs,
)
self._futures.append(future)
else:
self._results.append(
self._caller(
bucket=bucket,
key=key,
part=part,
upload_id=upload_id,
data=data,
s3_client=s3_client,
boto3_kwargs=boto3_kwargs,
)
)
def close(self) -> list[dict[str, str | int]]:
"""Close the proxy."""
if self.closed is True:
return []
if self._exec is not None:
try:
for future in concurrent.futures.as_completed(self._futures):
self._results.append(future.result())
finally:
self._exec.shutdown(wait=True)
self.closed = True
return self._sort_by_part_number(parts=self._results)
class _S3ObjectBase(io.RawIOBase):
"""Class to abstract S3 objects as ordinary files."""
def __init__(
self,
path: str,
s3_block_size: int,
mode: str,
use_threads: bool | int,
s3_client: "S3Client",
s3_additional_kwargs: dict[str, str] | None,
newline: str | None,
encoding: str | None,
version_id: str | None = None,
) -> None:
super().__init__()
self._use_threads = use_threads
self._newline: str = "\n" if newline is None else newline
self._encoding: str = "utf-8" if encoding is None else encoding
self._bucket, self._key = _utils.parse_path(path=path)
self._version_id = version_id
if mode not in {"rb", "wb", "r", "w"}:
raise NotImplementedError(f"File mode must be {'rb', 'wb', 'r', 'w'}, not {mode}")
self._mode: str = "rb" if mode is None else mode
self._one_shot_download: bool = False
if 0 < s3_block_size < 3:
raise exceptions.InvalidArgumentValue(
"s3_block_size MUST > 2 to define a valid size or "
"< 1 to avoid blocks and always execute one shot downloads."
)
if s3_block_size <= 0:
_logger.debug("s3_block_size of %d, enabling one_shot_download.", s3_block_size)
self._one_shot_download = True
self._s3_block_size: int = s3_block_size
self._s3_half_block_size: int = s3_block_size // 2
self._s3_additional_kwargs: dict[str, str] = {} if s3_additional_kwargs is None else s3_additional_kwargs
self._client: "S3Client" = s3_client
self._loc: int = 0
if self.readable() is True:
self._cache: bytes = b""
self._start: int = 0
self._end: int = 0
func = engine.dispatch_func(_describe_object, "python")
_, desc = func(
s3_client=self._client,
path=path,
s3_additional_kwargs=self._s3_additional_kwargs,
version_id=version_id,
)
size: int | None = desc.get("ContentLength", None)
if size is None:
raise exceptions.InvalidArgumentValue(f"S3 object w/o defined size: {path}")
self._size: int = size
_logger.debug("self._size: %s", self._size)
_logger.debug("self._s3_block_size: %s", self._s3_block_size)
elif self.writable() is True:
self._mpu: dict[str, Any] = {}
self._buffer: io.BytesIO = io.BytesIO()
self._parts_count: int = 0
self._size = 0
self._upload_proxy: _UploadProxy = _UploadProxy(use_threads=self._use_threads)
else:
raise RuntimeError(f"Invalid mode: {self._mode}")
def __enter__(self) -> "_S3ObjectBase":
return self
def __exit__(
self,
exception_type: type[BaseException] | None,
exception_value: BaseException | None,
traceback: TracebackType | None,
) -> None:
"""Close the context."""
_logger.debug("exc_type: %s", exception_type)
_logger.debug("exc_value: %s", exception_value)
_logger.debug("exc_traceback: %s", traceback)
self.close()
def __del__(self) -> None:
"""Delete object tear down."""
self.close()
def __next__(self) -> bytes:
"""Next line."""
out: bytes | None = self.readline()
if not out:
raise StopIteration
return out
next = __next__
def __iter__(self) -> "_S3ObjectBase":
"""Iterate over lines."""
return self
@staticmethod
def _merge_range(ranges: list[tuple[int, bytes]]) -> bytes:
return b"".join(data for start, data in sorted(ranges, key=lambda r: r[0]))
def _fetch_range_proxy(self, start: int, end: int) -> bytes:
_logger.debug("Fetching: s3://%s/%s - Range: %s-%s", self._bucket, self._key, start, end)
boto3_kwargs: dict[str, Any] = get_botocore_valid_kwargs(
function_name="get_object", s3_additional_kwargs=self._s3_additional_kwargs
)
cpus: int = _utils.ensure_cpu_count(use_threads=self._use_threads)
range_size: int = end - start
if cpus < 2 or range_size < (2 * _MIN_PARALLEL_READ_BLOCK):
return _fetch_range(
range_values=(start, end),
bucket=self._bucket,
key=self._key,
s3_client=self._client,
boto3_kwargs=boto3_kwargs,
version_id=self._version_id,
)[1]
sizes: tuple[int, ...] = _utils.get_even_chunks_sizes(
total_size=range_size, chunk_size=_MIN_PARALLEL_READ_BLOCK, upper_bound=False
)
ranges: list[tuple[int, int]] = []
chunk_start: int = start
for size in sizes:
ranges.append((chunk_start, chunk_start + size))
chunk_start += size
with concurrent.futures.ThreadPoolExecutor(max_workers=cpus) as executor:
return self._merge_range(
ranges=list(
executor.map(
_fetch_range,
ranges,
itertools.repeat(self._bucket),
itertools.repeat(self._key),
itertools.repeat(self._client),
itertools.repeat(boto3_kwargs),
itertools.repeat(self._version_id),
)
),
)
def _fetch(self, start: int, end: int) -> None:
if end > self._size:
raise ValueError(f"Trying to fetch byte (at position {end - 1}) beyond file size ({self._size})")
if start < 0:
raise ValueError(f"Trying to fetch byte (at position {start}) beyond file range ({self._size})")
if start >= self._start and end <= self._end:
return None # Does not require download
if self._one_shot_download:
self._start = 0
self._end = self._size
self._cache = self._fetch_range_proxy(self._start, self._end)
return None
if end - start >= self._s3_block_size: # Fetching length greater than cache length
self._cache = self._fetch_range_proxy(start, end)
self._start = start
self._end = end
return None
# Calculating block START and END positions
_logger.debug("Downloading: %s (start) / %s (end)", start, end)
mid: int = int(math.ceil((start + (end - 1)) / 2))
new_block_start: int = mid - self._s3_half_block_size
new_block_start = new_block_start + 1 if self._s3_block_size % 2 == 0 else new_block_start
new_block_end: int = mid + self._s3_half_block_size + 1
_logger.debug("new_block_start: %s / new_block_end: %s / mid: %s", new_block_start, new_block_end, mid)
if new_block_start < 0 and new_block_end > self._size: # both ends overflowing
new_block_start = 0
new_block_end = self._size
elif new_block_end > self._size: # right overflow
new_block_start = new_block_start - (new_block_end - self._size)
new_block_start = 0 if new_block_start < 0 else new_block_start
new_block_end = self._size
elif new_block_start < 0: # left overflow
new_block_end = new_block_end - new_block_start
new_block_end = self._size if new_block_end > self._size else new_block_end
new_block_start = 0
_logger.debug(
"new_block_start: %s / new_block_end: %s/ self._start: %s / self._end: %s",
new_block_start,
new_block_end,
self._start,
self._end,
)
# Calculating missing bytes in cache
if ( # Full block download
(new_block_start < self._start and new_block_end > self._end)
or new_block_start > self._end
or new_block_end < self._start
):
self._cache = self._fetch_range_proxy(new_block_start, new_block_end)
elif new_block_end > self._end:
prune_diff: int = new_block_start - self._start
self._cache = self._cache[prune_diff:] + self._fetch_range_proxy(self._end, new_block_end)
elif new_block_start < self._start:
prune_diff = new_block_end - self._end
self._cache = self._fetch_range_proxy(new_block_start, self._start) + self._cache[:prune_diff]
else:
raise RuntimeError("AWSWrangler's cache calculation error.")
self._start = new_block_start
self._end = new_block_end
return None
def tell(self) -> int:
"""Return the current file location."""
return self._loc
def seek(self, loc: int, whence: int = 0) -> int:
"""Set current file location."""
if self.readable() is False:
raise OSError(ESPIPE, "Seek only available in read mode")
if whence == 0:
loc_tmp: int = loc
elif whence == 1:
loc_tmp = self._loc + loc
elif whence == 2:
loc_tmp = self._size + loc
else:
raise ValueError(f"invalid whence ({whence}, should be 0, 1 or 2).")
if loc_tmp < 0:
raise ValueError("Seek before start of file")
self._loc = loc_tmp
return self._loc
def flush(self, force: bool = False) -> None:
"""Write buffered data to S3."""
if self.closed:
raise RuntimeError("I/O operation on closed file.")
if self.writable() and self._buffer.closed is False:
total_size: int = self._buffer.tell()
if total_size < _MIN_WRITE_BLOCK and force is False:
return None
if total_size == 0:
return None
try:
_logger.debug("Flushing: %s bytes", total_size)
self._mpu = self._mpu or _utils.try_it(
f=self._client.create_multipart_upload, # type: ignore[arg-type]
ex=_S3_RETRYABLE_ERRORS,
base=0.5,
max_num_tries=6,
Bucket=self._bucket,
Key=self._key,
**get_botocore_valid_kwargs(
function_name="create_multipart_upload", s3_additional_kwargs=self._s3_additional_kwargs
),
)
self._buffer.seek(0)
for chunk_size in _utils.get_even_chunks_sizes(
total_size=total_size, chunk_size=_MIN_WRITE_BLOCK, upper_bound=False
):
_logger.debug("chunk_size: %s bytes", chunk_size)
self._parts_count += 1
self._upload_proxy.upload(
bucket=self._bucket,
key=self._key,
part=self._parts_count,
upload_id=self._mpu["UploadId"],
data=self._buffer.read(chunk_size),
s3_client=self._client,
boto3_kwargs=get_botocore_valid_kwargs(
function_name="upload_part", s3_additional_kwargs=self._s3_additional_kwargs
),
)
finally:
# Ensure that the buffer is cleared (even in the event of an exception) so that
# any partial data doesn't get written when close() is called.
self._buffer.seek(0)
self._buffer.truncate(0)
self._buffer.close()
self._buffer = io.BytesIO()
return None
def readable(self) -> bool:
"""Return whether this object is opened for reading."""
return "r" in self._mode
def seekable(self) -> bool:
"""Return whether this object is opened for seeking."""
return self.readable()
def writable(self) -> bool:
"""Return whether this object is opened for writing."""
return "w" in self._mode
def close(self) -> None:
"""Clean up the cache."""
if self.closed:
return None
if self.writable():
_logger.debug("Closing: %s parts", self._parts_count)
if self._parts_count > 0:
self.flush(force=True)
parts: list[dict[str, str | int]] = self._upload_proxy.close()
part_info: dict[str, list[dict[str, Any]]] = {"Parts": parts}
_logger.debug("Running complete_multipart_upload...")
_utils.try_it(
f=self._client.complete_multipart_upload,
ex=_S3_RETRYABLE_ERRORS,
base=0.5,
max_num_tries=6,
Bucket=self._bucket,
Key=self._key,
UploadId=self._mpu["UploadId"],
MultipartUpload=part_info,
**get_botocore_valid_kwargs(
function_name="complete_multipart_upload", s3_additional_kwargs=self._s3_additional_kwargs
),
)
_logger.debug("complete_multipart_upload done!")
elif self._buffer.tell() > 0:
_logger.debug("put_object")
_utils.try_it(
f=self._client.put_object,
ex=_S3_RETRYABLE_ERRORS,
base=0.5,
max_num_tries=6,
Bucket=self._bucket,
Key=self._key,
Body=self._buffer.getvalue(),
**get_botocore_valid_kwargs(
function_name="put_object", s3_additional_kwargs=self._s3_additional_kwargs
),
)
self._parts_count = 0
self._upload_proxy.close()
self._buffer.seek(0)
self._buffer.truncate(0)
self._buffer.close()
elif self.readable():
self._cache = b""
else:
raise RuntimeError(f"Invalid mode: {self._mode}")
super().close()
return None
def read(self, length: int = -1) -> bytes:
"""Return cached data and fetch on demand chunks."""
if self.readable() is False:
raise ValueError("File not in read mode.")
if self.closed is True:
raise ValueError("I/O operation on closed file.")
if length < 0 or self._loc + length > self._size:
length = self._size - self._loc
self._fetch(self._loc, self._loc + length)
out: bytes = self._cache[self._loc - self._start : self._loc - self._start + length]
self._loc += len(out)
return out
def readline(self, length: int | None = -1) -> bytes:
"""Read until the next line terminator."""
length = -1 if length is None else length
end: int = self._loc + self._s3_block_size
end = self._size if end > self._size else end
self._fetch(self._loc, end)
while True:
found: int = self._cache[self._loc - self._start :].find(self._newline.encode(encoding=self._encoding))
if 0 < length < found:
return self.read(length + 1)
if found >= 0:
return self.read(found + 1)
if self._end >= self._size:
return self.read(-1)
end = self._end + self._s3_half_block_size
end = self._size if end > self._size else end
self._fetch(self._loc, end)
def write(self, data: bytes | bytearray | memoryview) -> int: # type: ignore[override]
"""Write data to buffer and only upload on close() or if buffer is greater than or equal to _MIN_WRITE_BLOCK."""
if self.writable() is False:
raise RuntimeError("File not in write mode.")
if self.closed:
raise RuntimeError("I/O operation on closed file.")
n: int = self._buffer.write(data)
self._loc += n
if self._buffer.tell() >= _MIN_WRITE_BLOCK:
self.flush()
return n
@contextmanager
@apply_configs
def open_s3_object(
path: str,
mode: str = "wb",
version_id: str | None = None,
use_threads: bool | int = False,
s3_additional_kwargs: dict[str, str] | None = None,
s3_block_size: int = -1, # One shot download
boto3_session: boto3.Session | None = None,
s3_client: "S3Client" | None = None,
newline: str | None = "\n",
encoding: str | None = "utf-8",
) -> Iterator[_S3ObjectBase | io.TextIOWrapper]:
"""Return a _S3Object or TextIOWrapper based on the received mode."""
s3obj: _S3ObjectBase | None = None
text_s3obj: io.TextIOWrapper | None = None
s3_client = _utils.client(service_name="s3", session=boto3_session) if not s3_client else s3_client
try:
s3obj = _S3ObjectBase(
path=path,
s3_block_size=s3_block_size,
mode=mode,
version_id=version_id,
use_threads=use_threads,
s3_client=s3_client,
s3_additional_kwargs=s3_additional_kwargs,
encoding=encoding,
newline=newline,
)
if "b" in mode: # binary
yield s3obj
else: # text
text_s3obj = io.TextIOWrapper(
buffer=cast(BinaryIO, s3obj),
encoding=encoding,
newline=newline,
line_buffering=False,
write_through=False,
)
yield text_s3obj
finally:
if text_s3obj is not None and text_s3obj.closed is False:
text_s3obj.close()
if s3obj is not None and s3obj.closed is False:
s3obj.close()