bucketbase


Namebucketbase JSON
Version 1.3.2 PyPI version JSON
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home_pagehttps://github.com/asuiu/bucketbase
Summarybucketbase
upload_time2024-06-12 13:25:38
maintainerNone
docs_urlNone
authorAndrei Suiu
requires_python<4.0.0,>=3.10
licenseMIT
keywords
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requirements No requirements were recorded.
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            # BucketBase

BucketBase offers a comprehensive suite of base classes tailored for abstracting object storage solutions. It's designed to facilitate seamless integration with
different storage backends, including S3-compatible services (like Minio), in-memory storage for testing, and file-based storage for local development and
caching purposes. This flexibility makes it an ideal choice for projects that require a unified API for object storage across various environments.

## Features

- **S3 Compatible Storage Support:** Use with any S3-compatible storage service like Minio, AWS S3, etc.
- **In-memory Storage:** Perfect for testing purposes, avoiding the need for an actual object storage service.
- **File Storage:** Ideal for local development and caching, simulating an object storage interface with local file system.
- **Extensible:** Implement the `IBucket` interface to support additional storage backends.

## Installation

Install BucketBase using pip:

```bash
pip install bucketbase
```

PyPi home page: [https://pypi.org/project/bucketbase/](https://pypi.org/project/bucketbase/)

Quick Start
To get started with BucketBase, first import the storage class you wish to use:

```python
from bucketbase.memory_bucket import MemoryBucket
from bucketbase.minio_bucket import MinioBucket
from bucketbase.fs_bucket import FSBucket, AppendOnlyFSBucket
```

### Using Memory Storage

Memory storage is useful for tests or development environments where no persistence is required.

```python
bucket = MemoryBucket()
bucket.put_object("test.txt", "Hello, World!")
print(bucket.get_object("test.txt"))  # Outputs: b'Hello, World!'
```

### Using File Storage

File storage is useful for local development and caching.

```python
bucket = FSBucket("/path/to/storage")
bucket.put_object("hello.txt", "Hello, File Storage!")
print(bucket.get_object("hello.txt"))  # Outputs: b'Hello, File Storage!'
```

### Using Minio (S3 Compatible Storage)

Ensure you have Minio server running and accessible.

```python
from bucketbase.minio_bucket import MinioBucket

bucket = MinioBucket(endpoint="localhost:9000", access_key="minioadmin", secret_key="minioadmin", secure=False)
bucket.put_object("greet.txt", "Hello, Minio!")
print(bucket.get_object("greet.txt"))  # Outputs: b'Hello, Minio!'
```

### Copy and Move objects by Prefix

You can copy and move objects between buckets by prefix.

```python
from bucketbase.minio_bucket import MinioBucket

bucket = MinioBucket(endpoint="localhost:9000", access_key="minioadmin", secret_key="minioadmin", secure=False)
dest_bucket = MinioBucket(endpoint="localhost:9000", access_key="minioadmin", secret_key="minioadmin", secure=False, bucket_name="new_bucket")
bucket.put_object("greet.txt", "Hello, Minio!")

bucket.copy_prefix(dst_bucket=dest_bucket, src_prefix="greet.", dst_prefix="copy_dir/")
bucket.move_prefix(dst_bucket=dest_bucket, src_prefix="greet.", dst_prefix="move_dir/")                   
```

## Advanced Usage

For advanced usage, including error handling, listing objects, and more, refer to the IBucket interface and the specific implementation you are using. Each
storage option may have additional methods and features tailored to its backend.

## Contributing

Contributions are welcome! If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.

## Licensing

The code in this project is licensed under MIT license.

### Changelog

##### 1.3.0
- Added streaming capability: IBucket.put_object_stream() & IBucket.get_object_stream()

##### 1.2.4

- Added Windows Long name error handling in MinioBucket.fget_object()

##### 1.2.3

- Fixed corner-case where IBucket.copy_prefix copies to root
- Renamed arg dest_bucket -> dst_bucket

##### 1.2.2

- Added FSBucket.get_root()

##### 1.2.1

- Added IBucket.copy_prefix() & IBucket.move_prefix()
- minor refactoring and default params

##### 1.2.0 (breaking changes)

- rename all IBucket method args: object_name -> name
- rename args: list_of_objects -> names

##### 1.1.0 (breaking changes)

- IBucket rename: get_object_content() -> get_object()
- IBucket.fput_oject() rename arg: destination -> file_path

##### 1.0.1

- Added ShallowListing to __init__.py

---
This README.md provides a general overview of BucketBase, instructions for installation, a quick start guide for using its various storage options, and an
invitation for contributions. It's structured to be informative and straightforward, allowing users to quickly get started with the project.


            

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    "description": "# BucketBase\n\nBucketBase offers a comprehensive suite of base classes tailored for abstracting object storage solutions. It's designed to facilitate seamless integration with\ndifferent storage backends, including S3-compatible services (like Minio), in-memory storage for testing, and file-based storage for local development and\ncaching purposes. This flexibility makes it an ideal choice for projects that require a unified API for object storage across various environments.\n\n## Features\n\n- **S3 Compatible Storage Support:** Use with any S3-compatible storage service like Minio, AWS S3, etc.\n- **In-memory Storage:** Perfect for testing purposes, avoiding the need for an actual object storage service.\n- **File Storage:** Ideal for local development and caching, simulating an object storage interface with local file system.\n- **Extensible:** Implement the `IBucket` interface to support additional storage backends.\n\n## Installation\n\nInstall BucketBase using pip:\n\n```bash\npip install bucketbase\n```\n\nPyPi home page: [https://pypi.org/project/bucketbase/](https://pypi.org/project/bucketbase/)\n\nQuick Start\nTo get started with BucketBase, first import the storage class you wish to use:\n\n```python\nfrom bucketbase.memory_bucket import MemoryBucket\nfrom bucketbase.minio_bucket import MinioBucket\nfrom bucketbase.fs_bucket import FSBucket, AppendOnlyFSBucket\n```\n\n### Using Memory Storage\n\nMemory storage is useful for tests or development environments where no persistence is required.\n\n```python\nbucket = MemoryBucket()\nbucket.put_object(\"test.txt\", \"Hello, World!\")\nprint(bucket.get_object(\"test.txt\"))  # Outputs: b'Hello, World!'\n```\n\n### Using File Storage\n\nFile storage is useful for local development and caching.\n\n```python\nbucket = FSBucket(\"/path/to/storage\")\nbucket.put_object(\"hello.txt\", \"Hello, File Storage!\")\nprint(bucket.get_object(\"hello.txt\"))  # Outputs: b'Hello, File Storage!'\n```\n\n### Using Minio (S3 Compatible Storage)\n\nEnsure you have Minio server running and accessible.\n\n```python\nfrom bucketbase.minio_bucket import MinioBucket\n\nbucket = MinioBucket(endpoint=\"localhost:9000\", access_key=\"minioadmin\", secret_key=\"minioadmin\", secure=False)\nbucket.put_object(\"greet.txt\", \"Hello, Minio!\")\nprint(bucket.get_object(\"greet.txt\"))  # Outputs: b'Hello, Minio!'\n```\n\n### Copy and Move objects by Prefix\n\nYou can copy and move objects between buckets by prefix.\n\n```python\nfrom bucketbase.minio_bucket import MinioBucket\n\nbucket = MinioBucket(endpoint=\"localhost:9000\", access_key=\"minioadmin\", secret_key=\"minioadmin\", secure=False)\ndest_bucket = MinioBucket(endpoint=\"localhost:9000\", access_key=\"minioadmin\", secret_key=\"minioadmin\", secure=False, bucket_name=\"new_bucket\")\nbucket.put_object(\"greet.txt\", \"Hello, Minio!\")\n\nbucket.copy_prefix(dst_bucket=dest_bucket, src_prefix=\"greet.\", dst_prefix=\"copy_dir/\")\nbucket.move_prefix(dst_bucket=dest_bucket, src_prefix=\"greet.\", dst_prefix=\"move_dir/\")                   \n```\n\n## Advanced Usage\n\nFor advanced usage, including error handling, listing objects, and more, refer to the IBucket interface and the specific implementation you are using. Each\nstorage option may have additional methods and features tailored to its backend.\n\n## Contributing\n\nContributions are welcome! If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.\n\n## Licensing\n\nThe code in this project is licensed under MIT license.\n\n### Changelog\n\n##### 1.3.0\n- Added streaming capability: IBucket.put_object_stream() & IBucket.get_object_stream()\n\n##### 1.2.4\n\n- Added Windows Long name error handling in MinioBucket.fget_object()\n\n##### 1.2.3\n\n- Fixed corner-case where IBucket.copy_prefix copies to root\n- Renamed arg dest_bucket -> dst_bucket\n\n##### 1.2.2\n\n- Added FSBucket.get_root()\n\n##### 1.2.1\n\n- Added IBucket.copy_prefix() & IBucket.move_prefix()\n- minor refactoring and default params\n\n##### 1.2.0 (breaking changes)\n\n- rename all IBucket method args: object_name -> name\n- rename args: list_of_objects -> names\n\n##### 1.1.0 (breaking changes)\n\n- IBucket rename: get_object_content() -> get_object()\n- IBucket.fput_oject() rename arg: destination -> file_path\n\n##### 1.0.1\n\n- Added ShallowListing to __init__.py\n\n---\nThis README.md provides a general overview of BucketBase, instructions for installation, a quick start guide for using its various storage options, and an\ninvitation for contributions. It's structured to be informative and straightforward, allowing users to quickly get started with the project.\n\n",
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