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Pathy
Pathy is a practical Python package with type annotations tailored for managing Cloud Bucket storage through a Path-like interface. It has an intuitive API and supports your favorite cloud providers, facilitating file transfers between local systems and remote buckets. Ideal for seasoned developers, Pathy enables smooth local file system work during development, transitioning effortlessly to live APIs for deployment. It also simplifies converting bucket blobs into local files, offering an option for local file caching, and has a familiar CLI interface pathy
.
πΎ Installation
You can install pathy
from pip:
Features | Install Command |
---|---|
Google Cloud Storage | pip install pathy[gcs] |
Amazon S3 | pip install pathy[s3] |
Azure | pip install pathy[azure] |
π Quickstart
Here's a quick run-down of how to get started offline if you intend to use Google Cloud Storage buckets when you ship.
from pathy import Pathy, use_fs
# Use the local file-system for quicker development
use_fs()
# Create a bucket
Pathy("gs://my_bucket").mkdir(exist_ok=True)
# An excellent blob
greeting = Pathy(f"gs://my_bucket/greeting.txt")
# But it doesn't exist yet
assert not greeting.exists()
# Create it by writing some text
greeting.write_text("Hello World!")
# Now it exists
assert greeting.exists()
# Delete it
greeting.unlink()
# Now it doesn't
assert not greeting.exists()
π Setup Credentials
For most cloud operations, you'll need credentials. Here's how to configure your credentials based on the supported cloud providers.
Google Cloud Storage
Google recommends using a JSON credentials file, which you can specify by path:
from google.oauth2 import service_account
from pathy import set_client_params
credentials = service_account.Credentials.from_service_account_file("./my-creds.json")
set_client_params("gs", credentials=credentials)
Amazon S3
S3 uses a JSON credentials file, which you can specify by path:
from pathy import set_client_params
set_client_params("s3", key_id="YOUR_ACCESS_KEY_ID", key_secret="YOUR_ACCESS_SECRET")
Azure
Azure blob storage can be passed a connection_string
:
from pathy import set_client_params
set_client_params("azure", connection_string="YOUR_CONNECTION_STRING")
or a BlobServiceClient
instance:
from azure.storage.blob import BlobServiceClient
from pathy import set_client_params
service: BlobServiceClient = BlobServiceClient.from_connection_string(
"YOUR_CONNECTION_STRING"
)
set_client_params("azure", service=service)
β»οΈ Semantic Versioning
Before Pathy reaches v1.0 the project is not guaranteed to have a consistent API, which means that types and classes may move around or be removed. That said, we try to be predictable when it comes to breaking changes, so the project uses semantic versioning to help users avoid breakage.
Specifically, new releases increase the patch
semver component for new features and fixes, and the minor
component when there are breaking changes. If you don't know much about semver strings, they're usually formatted {major}.{minor}.{patch}
so increasing the patch
component means incrementing the last number.
Consider a few examples:
From Version | To Version | Changes are Breaking |
---|---|---|
0.2.0 | 0.2.1 | No |
0.3.2 | 0.3.6 | No |
0.3.1 | 0.3.17 | No |
0.2.2 | 0.3.0 | Yes |
If you are concerned about breaking changes, you can pin the version in your requirements so that it does not go beyond the current semver minor
component, for example if the current version was 0.11.0
:
pathy>=0.11.0,<0.12.0
π API
<!-- NOTE: The below code is auto-generated. Update source files to change API documentation. --> <!-- AUTO_DOCZ_START -->Pathy
Pathy(self, paths)
Subclass of PathBase
that works with bucket APIs.
exists
Pathy.exists(self: 'Pathy') -> bool
Returns True if the path points to an existing bucket, blob, or prefix.
fluid
Pathy.fluid(
path_candidate: Union[str, Pathy, PathlibPathEx],
) -> Union[Pathy, PathlibPathEx]
Infer either a Pathy or pathlib.Path from an input path or string.
The returned type is a union of the potential FluidPath
types and will
type-check correctly against the minimum overlapping APIs of all the input
types.
If you need to use specific implementation details of a type, "narrow" the return of this function to the desired type, e.g.
from pathlib import Path
from pathy import FluidPath, Pathy
fluid_path: FluidPath = Pathy.fluid("gs://my_bucket/foo.txt")
# Narrow the type to a specific class
assert isinstance(fluid_path, Pathy), "must be Pathy"
# Use a member specific to that class
assert fluid_path.prefix == "foo.txt/"
# Or use a file-system path
posix_path: FluidPath = Pathy.fluid("/tmp/foo.txt")
assert isinstance(posix_path, Path), "must be pathlib.Path"
from_bucket
Pathy.from_bucket(bucket_name: str, scheme: str = 'gs') -> 'Pathy'
Initialize a Pathy from a bucket name. This helper adds a trailing slash and the appropriate prefix.
from pathy import Pathy
assert str(Pathy.from_bucket("one")) == "gs://one/"
assert str(Pathy.from_bucket("two")) == "gs://two/"
glob
Pathy.glob(
self: 'Pathy',
pattern: str,
case_sensitive: Optional[bool] = None,
follow_symlinks: Optional[bool] = None,
) -> Generator[Pathy, NoneType, NoneType]
Perform a glob match relative to this Pathy instance, yielding all matched blobs.
is_dir
Pathy.is_dir(self: 'Pathy', follow_symlinks: bool = True) -> bool
Determine if the path points to a bucket or a prefix of a given blob in the bucket.
Returns True if the path points to a bucket or a blob prefix. Returns False if it points to a blob or the path doesn't exist.
is_file
Pathy.is_file(self: 'Pathy', follow_symlinks: bool = True) -> bool
Determine if the path points to a blob in the bucket.
Returns True if the path points to a blob. Returns False if it points to a bucket or blob prefix, or if the path doesnβt exist.
ls
Pathy.ls(self: 'Pathy') -> Generator[BlobStat, NoneType, NoneType]
List blob names with stat information under the given path.
This is considerably faster than using iterdir if you also need the stat information for the enumerated blobs.
Yields BlobStat objects for each found blob.
mkdir
Pathy.mkdir(
self,
mode: int = 511,
parents: bool = False,
exist_ok: bool = False,
) -> None
Create a bucket from the given path. Since bucket APIs only have implicit folder structures (determined by the existence of a blob with an overlapping prefix) this does nothing other than create buckets.
If parents is False, the bucket will only be created if the path points to exactly the bucket and nothing else. If parents is true the bucket will be created even if the path points to a specific blob.
The mode param is ignored.
Raises FileExistsError if exist_ok is false and the bucket already exists.
open
Pathy.open(
self: 'Pathy',
mode: str = 'r',
buffering: int = 8192,
encoding: Optional[str] = None,
errors: Optional[str] = None,
newline: Optional[str] = None,
) -> IO[Any]
Open the given blob for streaming. This delegates to the smart_open
library that handles large file streaming for a number of bucket API
providers.
owner
Pathy.owner(self: 'Pathy') -> Optional[str]
Returns the name of the user that owns the bucket or blob this path points to. Returns None if the owner is unknown or not supported by the bucket API provider.
rename
Pathy.rename(
self: 'Pathy',
target: Union[str, pathlib_abc.PurePathBase],
) -> 'Pathy'
Rename this path to the given target.
If the target exists and is a file, it will be replaced silently if the user has permission.
If path is a blob prefix, it will replace all the blobs with the same prefix to match the target prefix.
replace
Pathy.replace(
self: 'Pathy',
target: Union[str, pathlib_abc.PurePathBase],
) -> 'Pathy'
Renames this path to the given target.
If target points to an existing path, it will be replaced.
resolve
Pathy.resolve(self, strict: bool = False) -> 'Pathy'
Resolve the given path to remove any relative path specifiers.
from pathy import Pathy
path = Pathy("gs://my_bucket/folder/../blob")
assert path.resolve() == Pathy("gs://my_bucket/blob")
rmdir
Pathy.rmdir(self: 'Pathy') -> None
Removes this bucket or blob prefix. It must be empty.
samefile
Pathy.samefile(
self: 'Pathy',
other_path: Union[str, bytes, int, pathlib_abc.PathBase],
) -> bool
Determine if this path points to the same location as other_path.
stat
Pathy.stat(self: 'Pathy', follow_symlinks: bool = True) -> pathy.BlobStat
Returns information about this bucket path.
to_local
Pathy.to_local(
blob_path: Union[Pathy, str],
recurse: bool = True,
) -> pathlib.Path
Download and cache either a blob or a set of blobs matching a prefix.
The cache is sensitive to the file updated time, and downloads new blobs as their updated timestamps change.
touch
Pathy.touch(self: 'Pathy', mode: int = 438, exist_ok: bool = True) -> None
Create a blob at this path.
If the blob already exists, the function succeeds if exist_ok is true (and its modification time is updated to the current time), otherwise FileExistsError is raised.
unlink
Pathy.unlink(self: 'Pathy') -> None
Delete a link to a blob in a bucket.
BlobStat
BlobStat(
self,
name: str,
size: Optional[int],
last_modified: Optional[int],
) -> None
Stat for a bucket item
use_fs
use_fs(
root: Optional[str, pathlib_abc.PathBase, pathy.PathlibPathEx, bool] = None,
) -> Optional[pathy.BucketClientFS]
Use a path in the local file-system to store blobs and buckets.
This is useful for development and testing situations, and for embedded applications.
get_fs_client
get_fs_client() -> Optional[pathy.BucketClientFS]
Get the file-system client (or None)
use_fs_cache
use_fs_cache(
root: Optional[str, pathlib_abc.PathBase, pathy.PathlibPathEx, bool] = None,
) -> Optional[pathy.PathlibPathEx]
Use a path in the local file-system to cache blobs and buckets.
This is useful for when you want to avoid fetching large blobs multiple times, or need to pass a local file path to a third-party library.
get_fs_cache
get_fs_cache() -> Optional[pathy.PathlibPathEx]
Get the folder that holds file-system cached blobs and timestamps.
set_client_params
set_client_params(scheme: str, kwargs: Any) -> None
Specify args to pass when instantiating a service-specific Client object. This allows for passing credentials in whatever way your underlying client library prefers.
π» CLI
Pathy command line interface. (v0.11.0)
Usage:
$ [OPTIONS] COMMAND [ARGS]...
Options:
--install-completion
: Install completion for the current shell.--show-completion
: Show completion for the current shell, to copy it or customize the installation.--help
: Show this message and exit.
Commands:
cp
: Copy a blob or folder of blobs from one...ls
: List the blobs that exist at a given...mv
: Move a blob or folder of blobs from one...rm
: Remove a blob or folder of blobs from a...
cp
Copy a blob or folder of blobs from one bucket to another.
Usage:
$ cp [OPTIONS] FROM_LOCATION TO_LOCATION
Arguments:
FROM_LOCATION
: [required]TO_LOCATION
: [required]
Options:
--help
: Show this message and exit.
ls
List the blobs that exist at a given location.
Usage:
$ ls [OPTIONS] LOCATION
Arguments:
LOCATION
: [required]
Options:
-l, --long
: Print long style entries with updated time and size shown.--help
: Show this message and exit.
mv
Move a blob or folder of blobs from one path to another.
Usage:
$ mv [OPTIONS] FROM_LOCATION TO_LOCATION
Arguments:
FROM_LOCATION
: [required]TO_LOCATION
: [required]
Options:
--help
: Show this message and exit.
rm
Remove a blob or folder of blobs from a given location.
Usage:
$ rm [OPTIONS] LOCATION
Arguments:
LOCATION
: [required]
Options:
-r, --recursive
: Recursively remove files and folders.-v, --verbose
: Print removed files and folders.--help
: Show this message and exit.
Credits
Pathy is originally based on the S3Path project, which provides a Path interface for S3 buckets.