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import pickle
import asyncio
from pathlib import Path
from pydantic import BaseModel
from typing import Any
from PIL import Image
ObjectName = ObjectId = BucketName = str
from .utils import image_to_object, object_to_image, write_compressed, read_compressed
from .wrapper import ImgurClient as Imgur
BUCKETS_FOLDER = Path(__file__).parent / 'buckets'
EXTENSION = '.bkt'
def filename(name: str):
return name + EXTENSION
class UploadedObject(BaseModel):
"""Represents an object that has been uploaded"""
name: ObjectName
obj_id: ObjectId
deletehash: str
cached_obj: Any = None
link: str
def __getstate__(self):
d = super().__getstate__()
d['__dict__']['cached_obj'] = None
d['__fields_set__'].discard('cached_obj')
return d
async def download(self) -> Any:
"""Return the wrapped object."""
if self.cached_obj is not None:
return self.cached_obj
async with Imgur() as imgur:
img = await imgur.download_image(self.obj_id)
obj = self.cached_obj = image_to_object(img)
return obj
async def delete(self) -> None:
"""Delete the uploaded object"""
async with Imgur() as imgur:
await imgur.delete_image(self.deletehash)
class StagedObject(BaseModel):
"""Represents a bucket object that has been added to a bucket but not yet
uploaded"""
name: ObjectName
obj: Any
def image(self) -> Image.Image:
return object_to_image(self.obj)
async def upload(self) -> UploadedObject:
"""Upload the wrapped object and return an UploadedObject.
The wrapped object is cached to the UploadObject so that a retrieval
during the same runtime does not need to download the object.
"""
async with Imgur() as imgur:
oid, delete, link = await imgur.upload_image(self.image())
return UploadedObject(
name=self.name,
obj_id=oid,
deletehash=delete,
cached_obj=self.obj,
link=link
)
class Bucket:
def __init__(self, name) -> None:
self.name = name
self.uploaded: dict[ObjectName, UploadedObject] = {}
self.pending: dict[ObjectName, StagedObject] = {}
def __repr__(self) -> str:
n_pending = len(self.pending)
n_uploaded = len(self.uploaded)
return f'<Bucket {self.name} (pending: {n_pending}, uploaded: {n_uploaded})>'
def _save(self):
"""Pickle and dump the bucket to the buckets folder"""
fn = filename(self.name)
write_compressed(pickle.dumps(self), BUCKETS_FOLDER / fn)
def stage_obj(self, obj: Any, name: str) -> None:
self.pending[name] = StagedObject(obj=obj, name=name)
self._save()
def unstage_obj(self, name: str) -> None:
del self.pending[name]
self._save()
async def commit(self):
"""Upload all staged objects"""
coros = [o.upload() for o in self.pending.values()]
# upload concurrently and filter out errors
results = await asyncio.gather(*coros, return_exceptions=True)
uploaded = [e for e in results if isinstance(e, UploadedObject)]
# remove succesful uploads from pending
for o in uploaded:
del self.pending[o.name]
# track uploaded objects
self.uploaded.update({o.name: o for o in uploaded})
self._save()
# warn about unuploaded pending objects
if self.pending:
msg = (
f"{len(self.pending)} objects failed to upload:\n" +
'\n'.join(o.name for o in self.pending.values())
)
raise Warning(msg)
return uploaded
async def get_obj(self, name: str) -> Any:
return await self.uploaded[name].download()
async def delete_obj(self, name: str) -> None:
"""Remove the object with the given name from uploaded objects"""
if not (o := self.uploaded.pop(name, 0)):
raise ValueError(f'No obj with name {name} found in {self}')
await o.delete()
self._save()
async def delete(self):
"""Delete the bucket and all objects it holds"""
coros = [o.delete() for o in self.uploaded.values()]
await asyncio.gather(*coros)
(BUCKETS_FOLDER / filename(self.name)).unlink()
@classmethod
def load(cls, name: str) -> "Bucket":
fn = filename(name)
return pickle.loads(read_compressed(BUCKETS_FOLDER / fn))
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