Skip to main content

Implements an easy-to-use bridge to SQLAlchemy

This project has been archived.

The maintainers of this project have marked this project as archived. No new releases are expected.

Project description

Example:

from solution import SQLALchemy

db = SQLALchemy('postgresql://scott:tiger@localhost:5432/mydatabase')

class ToDo(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    title = db.Column(db.String(60), nullable=False)
    done = db.Column(db.Boolean, nullable=False, default=False)
    pub_date = db.Column(db.DateTime, nullable=False,
        default=datetime.utcnow)

to_do = ToDo(title='Install Solution', done=True)
db.add(to_do)
db.commit()

completed = db.query(ToDo).filter(ToDo.done == True).all()

It does an automatic table naming (if no name is defined) and, to the base query class, adds the following methods:

  • first_or_notfound

  • get_or_notfound

  • to_json

Project details


Release history Release notifications | RSS feed

This version

1.1.7

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Solution-1.1.7.tar.gz (146.2 kB view details)

Uploaded Source

File details

Details for the file Solution-1.1.7.tar.gz.

File metadata

  • Download URL: Solution-1.1.7.tar.gz
  • Upload date:
  • Size: 146.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for Solution-1.1.7.tar.gz
Algorithm Hash digest
SHA256 cba885ea53c882fa28efc506370a616c1d97afdb7ed144080857a015d1b5608f
MD5 6a08e0f2ffd492cc46b7fe76a61b5c6f
BLAKE2b-256 32885b9df44b3a7536cd14d57d0dae31e1b15f8927c7ca10cb1662e0400b86c6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page