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#1206: add async to aws:s3 and aws:ecr #1192
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Original file line number | Diff line number | Diff line change |
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@@ -1,9 +1,12 @@ | ||
import asyncio | ||
import logging | ||
import re | ||
import sys | ||
from functools import partial | ||
from functools import wraps | ||
from string import Template | ||
from typing import Any | ||
from typing import Awaitable | ||
from typing import BinaryIO | ||
from typing import Callable | ||
from typing import cast | ||
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@@ -25,6 +28,7 @@ | |
from cartography.stats import get_stats_client | ||
from cartography.stats import ScopedStatsClient | ||
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if sys.version_info >= (3, 7): | ||
from importlib.resources import open_binary, read_text | ||
else: | ||
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@@ -141,6 +145,7 @@ def load_resource_binary(package: str, resource_name: str) -> BinaryIO: | |
return open_binary(package, resource_name) | ||
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R = TypeVar('R') | ||
F = TypeVar('F', bound=Callable[..., Any]) | ||
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@@ -297,3 +302,87 @@ def batch(items: Iterable, size: int = DEFAULT_BATCH_SIZE) -> List[List]: | |
items[i: i + size] | ||
for i in range(0, len(items), size) | ||
] | ||
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def is_throttling_exception(exc: Exception) -> bool: | ||
''' | ||
Returns True if the exception is caused by a client libraries throttling mechanism | ||
''' | ||
# https://boto3.amazonaws.com/v1/documentation/api/1.19.9/guide/error-handling.html | ||
if isinstance(exc, botocore.exceptions.ClientError): | ||
if exc.response['Error']['Code'] in ['LimitExceededException', 'Throttling']: | ||
return True | ||
# add other exceptions here, if needed, like: | ||
# https://cloud.google.com/python/docs/reference/storage/1.39.0/retry_timeout#configuring-retries | ||
# if isinstance(exc, google.api_core.exceptions.TooManyRequests): | ||
# return True | ||
return False | ||
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def to_asynchronous(func: Callable[..., R], *args: Any, **kwargs: Any) -> Awaitable[R]: | ||
''' | ||
Returns a Future that will run a function and its arguments in the default threadpool. | ||
Helper until we start using python 3.9's asyncio.to_thread | ||
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Calls are also wrapped within a backoff decorator to handle throttling errors. | ||
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example: | ||
def my_func(arg1, arg2, kwarg1): | ||
return arg1 + arg2 + kwarg1 | ||
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# normal synchronous call: | ||
result = my_func(1, 2, kwarg1=3) | ||
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# asynchronous call: | ||
future = to_asynchronous(my_func, 1, 2, kwarg1=3) | ||
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# the result is stored in the future, and can be retrieved | ||
# from within another async function with: | ||
await future | ||
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# or from within a synchronous function with our helper: | ||
to_synchronous(future) | ||
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NOTE: to use this in a Jupyter notebook, you need to do: | ||
# import nest_asyncio | ||
# nest_asyncio.apply() | ||
''' | ||
CartographyThrottlingException = type('CartographyThrottlingException', (Exception,), {}) | ||
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@wraps(func) | ||
def wrapper(*args: Any, **kwargs: Any) -> R: | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. [nonblock][question] What's the typevar R do? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. It binds the return type of |
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try: | ||
return func(*args, **kwargs) | ||
except Exception as exc: | ||
if is_throttling_exception(exc): | ||
raise CartographyThrottlingException from exc | ||
raise | ||
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# don't use @backoff as decorator, to preserve typing | ||
wrapped = backoff.on_exception(backoff.expo, CartographyThrottlingException)(wrapper) | ||
call = partial(wrapped, *args, **kwargs) | ||
return asyncio.get_event_loop().run_in_executor(None, call) | ||
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def to_synchronous(*awaitables: Awaitable[Any]) -> List[Any]: | ||
''' | ||
Synchronously waits for the Awaitable(s) to complete and returns their result(s). | ||
See https://docs.python.org/3.8/library/asyncio-task.html#asyncio-awaitables | ||
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example: | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Same thing about explicitly documenting the parameters. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. added There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. added as the normal :param : spec |
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async def my_async_func(my_arg): | ||
return my_arg | ||
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async def another_async_func(my_arg2): | ||
return my_arg2 | ||
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remember that an invocation of an async function returns a Future (Awaitable), | ||
which needs to be awaited to get the result. You cannot await a Future from within | ||
a non-async function, so you could use this helper to get the result from a Future | ||
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future_1 = my_async_func(1) | ||
future_2 = another_async_func(2) | ||
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results = to_synchronous(future_1, future_2) | ||
''' | ||
return asyncio.get_event_loop().run_until_complete(asyncio.gather(*awaitables)) |
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Good that you included an example, but since this is going to be a core function, I think we should have detailed docs on what each of the params is.
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added