Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/andrewrosss/gcs-uri
Simple API to copy files to and from Google Cloud Storage
https://github.com/andrewrosss/gcs-uri
gcp gcp-storage google-cloud google-cloud-storage
Last synced: 3 months ago
JSON representation
Simple API to copy files to and from Google Cloud Storage
- Host: GitHub
- URL: https://github.com/andrewrosss/gcs-uri
- Owner: andrewrosss
- License: mit
- Created: 2022-04-06T21:21:15.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-03T17:40:57.000Z (over 2 years ago)
- Last Synced: 2024-10-03T10:34:02.011Z (3 months ago)
- Topics: gcp, gcp-storage, google-cloud, google-cloud-storage
- Language: Python
- Homepage:
- Size: 69.3 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# gcs-uri
Simple API to copy files to and from Google Cloud Storage
[](https://pypi.org/project/gcs-uri/)
## Installation
```bash
pip install gcs-uri
```
## Usage
`gcs-uri` exposes the following functions as its main public API
- `copy_file`
- `copy_dir`
- `copy_files`
These functions do exactly what they sound like they do.
`copy_file` will copy a source file (either a local file or a remote blob in GCS) to destination file (either a local file or remote blob in GCS).
`copy_dir` will recursively copy the contents of a directory (either a local directory or a remote "directory" in GCS) to a destination directory (either a local directory or a remote "directory" in GCS)
`copy_files` will copy a list of source files (either local files or remote blobs in GCS or a mix of local files/remote blobs) to a corresponding set of destination files (either local files or remote blobs in GCS of a mix of local files/remote blobs)
> If the second argument to `copy_files` is of type `str | Path | Blob` (as opposed to a Sequence), then this argument is treated like a directory and each of the source files are "flattened" (i.e. folder delimiters are removed) and copied under the destintation directory.
The idea being that you can pass just about any object to these functions and the functions will figures how to do the copying.
## Examples
### Local file -> local file
In this case `copy_file` behaves just like `shutil.copy2` or `cp`, copying the source file to the destination file locally.
```python
src = '/my/src/file.txt'
dst = '/my/dst/file.txt'
copy_file(src, dst)
```
`src` and `dst` can also be `pathlib.Path` objects:
```python
from pathlib import Path
src = Path('/my/src/file.txt')
dst = Path('/my/dst/file.txt')
copy_file(src, dst)
```
### Local dir -> local dir
In this case `copy_dir` behaves just like `shutil.copytree` (or somewhat like rsync, but `copy_dir` will "re-copy" all files to the destination whether they exist in the the destination or not).
```python
src = '/my/src'
dst = '/my/dst'
copy_dir(src, dst)
# if there was a file `/my/src/a/b.txt` after `copy_dir`
# there would then be a file `/my/dst/a/b.txt`
```
The source and destination can include or omit a trailing slash and the results are the same as above.
### Local file -> remote file (upload)
To copy a file to a google cloud bucket, barely anything has to change, the destination should simply be a google storage URI:
```python
src = '/my/src/file.txt'
dst = 'gs://my-bkt/dst/file.txt'
copy_file(src, dst)
```
If you would like `gcs-uri` to use a particular Google Storage Client, this can be provided as a keyword(-only) argument (the same applies to `copy_dir`):
```python
from google.cloud import storage
client = storage.Client()
src = '/my/src/file.txt'
dst = 'gs://my-bkt/dst/file.txt'
copy_file(src, dst, client=client)
```
If no client is provided and either of the source or destinations (or both) are determined to represent a remote location then `gcs-uri` will try to instantiate a client by calling `storage.Client()`.
Note, we can provided `gcs-uri` with "richer" objects (instead of just strings):
```python
from pathlib import Path
from google.cloud import storage
client = storage.Client()
src = Path('/my/src/file.txt')
dst = storage.Blob.from_string('gs://my-bkt/dst/file.txt', client=client)
copy_file(src, dst)
```
### Local dir -> remote dir (upload)
The concepts from the previous sections apply here:
```python
src = '/my/src'
dst = 'gs://my-bkt/dst'
copy_dir(src, dst)
# if there was a file `/my/src/a/b.txt` after `copy_dir`
# there would then be a blob `gs://my-bkt/dst/a/b.txt`
```
### Remote file -> local file (download)
```python
src = 'gs://my-bkt/src/file.txt'
dst = '/my/dst/file.txt'
copy_file(src, dst)
```
### Remote dir -> local dir (download)
```python
src = 'gs://my-bkt/src'
dst = '/my/dst'
copy_dir(src, dst)
```
### Remote file -> remote file (transfer)
```python
src = 'gs://my-bkt/src/file.txt'
dst = 'gs://my-other-bkt/dst/file.txt'
copy_file(src, dst)
```
### Remote dir -> remote dir (transfer)
```python
src = 'gs://my-bkt/src'
dst = 'gs://my-other-bkt/dst'
copy_dir(src, dst)
```
### List of local files -> list of remote files
```python
srcs = ['/my/src/file1.txt', '/my/src/file2.txt']
dsts = ['gs://my-bkt/dst/file1.txt', 'gs://my-bkt/dst/file2.txt']
copy_files(srcs, dsts)
# copies: /my/src/file1.txt -> gs://my-bkt/dst/file1.txt
# copies: /my/src/file2.txt -> gs://my-bkt/dst/file2.txt
```
### List of local files -> remote dir
```python
srcs = ['/my/src/file1.txt', '/my/src/file2.txt']
dst = 'gs://my-bkt/dst'
copy_files(srcs, dst)
# copies: /my/src/file1.txt -> gs://my-bkt/dst/my-src-file1.txt
# copies: /my/src/file2.txt -> gs://my-bkt/dst/my-src-file2.txt
```
## API
```python
# src/gcs_uri.py
def copy_file(
src: str | Path | Blob,
dst: str | Path | Blob,
*,
client: Client | None = None,
quiet: bool = False,
) -> None:
"""Copy a single file.
If `src` and `dst` are both determined to be local files then `client` is ignored.
"""
def copy_dir(
src: str | Path | Blob,
dst: str | Path | Blob,
*,
client: Client | None = None,
quiet: bool = False,
) -> None:
"""Copy a directory (recursively).
If `src` and `dst` are both determined to be local directories
then `client` is ignored.
"""
def copy_files(
srcs: Sequence[str | Path | Blob],
dsts: str | Path | Blob | Sequence[str | Path | Blob],
*,
client: Client | None = None,
quiet: bool = False,
) -> None:
"""Copy a list of files.
If `dsts` is a `str | Path | Blob` it is treated as a directory
and each of the files in `srcs` will have its name "flattened" and will be
copied under `dsts`.
if `dsts` is a `Sequence[str | Path | Blob]` it is zipped with `srcs`, i.e.
each file in `srcs` is copied to its corresponding entry in `dsts`.
"""
```
## Tests
This package comes with some basic end-to-end (e2e) tests. They require an active google cloud project with the google storage API enabled.
To help with running them there is a utility script in the root of this repo: `run_e2e_tests.py`.
```text
usage: run_e2e_tests.py [-h] [-v] [-c GOOGLE_APPLICATION_CREDENTIALS]
[-u TEST_STORAGE_URI]
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
-c GOOGLE_APPLICATION_CREDENTIALS, --google-application-credentials GOOGLE_APPLICATION_CREDENTIALS
Google cloud service account to use.
-u TEST_STORAGE_URI, --test-storage-uri TEST_STORAGE_URI
Google storage uri to use when running e2e tests.
```
This script requires you to provided a service account json file as we'll as a URI to a location in google cloud which the tests will use to copy blobs to/from. (**IMPORTANT**: **_all_** blobs at and beneath the location you specifify will be removed - the bucket itself will **not** be removed).
So, run the e2e tests with something like:
```bash
python -m run_e2e_tests -c "path/to/service-account.json" -u "gs://my-bkt/gcs-uri-tests"
```
## Contributing
1. Have or install a recent version of `poetry` (version >= 1.1)
1. Fork the repo
1. Setup a virtual environment (however you prefer)
1. Run `poetry install`
1. Run `pre-commit install`
1. Add your changes (adding/updating tests is always nice too)
1. Commit your changes + push to your fork
1. Open a PR