145 lines
4.7 KiB
Python
Executable file
145 lines
4.7 KiB
Python
Executable file
#!#SHEBANG#
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import asyncio
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from concurrent.futures import ThreadPoolExecutor
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import functools
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from typing import Any, AsyncIterable, Awaitable, Callable, Optional, TypeVar, cast
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from os import path
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import datetime
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import json
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import boto3
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from botocore.response import StreamingBody
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ENDPOINT_URL: str = "https://s3.us-west-000.backblazeb2.com"
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BUCKET_NAME: str = "cache-chir-rs"
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yesterday = datetime.datetime.now().replace(
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tzinfo=datetime.timezone.utc) - datetime.timedelta(days=1)
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executor: ThreadPoolExecutor = ThreadPoolExecutor()
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F = TypeVar('F', bound=Callable[..., Any])
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T = TypeVar('T')
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def aio(f: Callable[..., T]) -> Callable[..., Awaitable[T]]:
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async def aio_wrapper(*args: Any, **kwargs: Any) -> T:
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f_bound: Callable[[], T] = functools.partial(f, *args, **kwargs)
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loop: asyncio.AbstractEventLoop = asyncio.get_running_loop()
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return await loop.run_in_executor(executor, f_bound)
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return aio_wrapper
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@aio
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def exists_locally(store_path: str) -> bool:
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return path.exists(store_path)
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class NarInfo(object):
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def __init__(self, narinfo: str) -> None:
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self.compression = "bzip2"
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for narinfo_line in narinfo.splitlines():
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key, value = narinfo_line.split(": ", 1)
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if key == "StorePath":
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self.store_path = value
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elif key == "URL":
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self.url = value
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elif key == "Compression":
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self.compression = value
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elif key == "FileHash":
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self.file_hash = value
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elif key == "FileSize":
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self.file_size = int(value)
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elif key == "NarHash":
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self.nar_hash = value
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elif key == "NarSize":
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self.nar_size = int(value)
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elif key == "References":
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self.references = value.split()
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elif key == "Deriver":
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self.deriver = value
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elif key == "System":
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self.system = value
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elif key == "Sig":
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self.sig = value
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elif key == "CA":
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self.ca = value
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async def exists_locally(self) -> bool:
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return await exists_locally(self.store_path)
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s3 = boto3.client("s3", endpoint_url=ENDPOINT_URL)
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@aio
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def get_object(Key: str) -> str:
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obj = s3.get_object(Bucket=BUCKET_NAME, Key=Key)
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if "Body" not in obj:
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raise Exception("No Body")
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if isinstance(obj["Body"], StreamingBody):
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return obj["Body"].read().decode("utf-8")
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raise Exception("Not StreamingBody")
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async def list_old_cache_objects() -> AsyncIterable[str]:
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@aio
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def list_objects_v2(
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ContinuationToken: Optional[str]
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) -> dict[str, Any]:
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if ContinuationToken != None:
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return s3.list_objects_v2(
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Bucket=BUCKET_NAME,
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ContinuationToken=ContinuationToken
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)
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else:
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return s3.list_objects_v2(
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Bucket=BUCKET_NAME
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)
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cont_token = None
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while True:
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objs = await list_objects_v2(cont_token)
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if "Contents" not in objs:
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raise Exception("No Contents")
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if isinstance(objs["Contents"], list):
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for obj in cast(list[Any], objs["Contents"]):
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if not isinstance(obj, dict):
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raise Exception("Not dict")
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obj = cast(dict[str, Any], obj)
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if "LastModified" in obj and isinstance(obj["LastModified"], datetime.datetime):
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if obj["LastModified"] < yesterday:
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yield obj["Key"]
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if "NextContinuationToken" not in objs:
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break
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cont_token = objs["NextContinuationToken"]
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@aio
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def delete_object(key: str) -> None:
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s3.delete_object(Bucket=BUCKET_NAME, Key=key)
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async def main() -> None:
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async for obj_key in list_old_cache_objects():
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if obj_key.endswith(".narinfo"):
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narinfo = await get_object(obj_key)
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narinfo = NarInfo(narinfo)
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if not await narinfo.exists_locally():
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print(f"Found unused NAR for {narinfo.store_path}")
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await delete_object(obj_key)
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await delete_object(narinfo.url)
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if obj_key.startswith("realisations/"):
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realisation = await get_object(obj_key)
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realisation = json.loads(realisation)
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if not isinstance(realisation, dict):
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continue
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if "outPath" not in realisation:
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continue
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if not await exists_locally("/nix/store/" + realisation["outPath"]):
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print(f"Found unused realisation for {realisation['outPath']}")
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await delete_object(obj_key)
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if __name__ == "__main__":
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asyncio.get_event_loop().run_until_complete(main())
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