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SQLAlchemy-file is a SQLAlchemy extension for attaching files to SQLAlchemy model and uploading them to various storage such as Local Storage, Amazon S3, Rackspace CloudFiles, Google Storage and others using Apache Libcloud.

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jowilf/sqlalchemy-file

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sqlalchemy-file

SQLAlchemy-file is a SQLAlchemy extension for attaching files to SQLAlchemy model and uploading them to various storage such as Local Storage, Amazon S3, Rackspace CloudFiles, Google Storage and others using Apache Libcloud.

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The key features are:

  • Multiple Storage : Use Object Storage API provided by Apache Libcloud to store files. Therefore, you can store your files on Local Storage, Amazon S3, Google Cloud Storage, MinIO etc, and easily switch between them. For a full list of supported providers visit supported providers page from Apache Libcloud documentation.
  • Validator : Provide an interface for validating each files before saving them.
  • Size Validator : Built-in validator for file maximum size validation.
  • Content-Type Validator : Built-in validator for file mimetype restrictions.
  • Image Validator : Built-in validator for image mimetype, width, height and ratio validation.
  • Processor : Provide an interface to easily save multiple transformation of the original files.
  • ThumbnailGenerator : Built-in processor to auto generate thumbnail
  • Multiple Files : You can attach multiple files directly to a Model.
  • Session awareness : Whenever an object is deleted or a rollback is performed the files uploaded during the unit of work or attached to the deleted objects are automatically deleted.
  • Meant for Evolution : Change the storage provider anytime you want, old data will continue to work
  • SQLModel Support: Tested with SQLModel

Documentation: https://jowilf.github.io/sqlalchemy-file

Source Code: https://github.com/jowilf/sqlalchemy-file


Requirements

A recent and currently supported version of Python (right now, Python supports versions 3.7 and above).

As SQLAlchemy-file is based on Apache Libcloud and SQLAlchemy, it requires them. They will be automatically installed when you install SQLAlchemy-file.

Installation

PIP

$ pip install sqlalchemy-file

Poetry

$ poetry add sqlalchemy-file

Example

Attaching files to models is as simple as declaring a field on the model itself

import os

from libcloud.storage.drivers.local import LocalStorageDriver
from sqlalchemy import Column, Integer, String, create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import Session
from sqlalchemy_file import File, FileField
from sqlalchemy_file.storage import StorageManager

Base = declarative_base()


# Define your model
class Attachment(Base):
    __tablename__ = "attachment"

    id = Column(Integer, autoincrement=True, primary_key=True)
    name = Column(String(50), unique=True)
    content = Column(FileField)


# Configure Storage
os.makedirs("/tmp/storage/attachment", 0o777, exist_ok=True)
container = LocalStorageDriver("/tmp/storage").get_container("attachment")
StorageManager.add_storage("default", container)

# Save your model
engine = create_engine(
    "sqlite:///example.db", connect_args={"check_same_thread": False}
)
Base.metadata.create_all(engine)

with Session(engine) as session:
    session.add(Attachment(name="attachment1", content=open("./example.txt", "rb")))
    session.add(Attachment(name="attachment2", content=b"Hello world"))
    session.add(Attachment(name="attachment3", content="Hello world"))
    file = File(content="Hello World", filename="hello.txt", content_type="text/plain")
    session.add(Attachment(name="attachment4", content=file))
    session.commit()

Related projects and inspirations

  • filedepot: When I was looking for a library like this, depot was the best I saw. This project inspired SQLAlchemy-file extensively and some features are implemented the same.
  • sqlalchemy-media: Another attachment extension for SqlAlchemy to manage assets which are associated with database models

About

SQLAlchemy-file is a SQLAlchemy extension for attaching files to SQLAlchemy model and uploading them to various storage such as Local Storage, Amazon S3, Rackspace CloudFiles, Google Storage and others using Apache Libcloud.

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