Lightweight python datamapper ORM (Object-relational mapper).
pip install ascetic==0.7.2.40
Ascetic exists as a super-lightweight datamapper ORM (Object-Relational Mapper) for Python.
git clone https://bitbucket.org/emacsway/ascetic.git
git clone https://github.com/emacsway/ascetic.git
Ascetic ORM based on "Data Mapper" pattern. It also supports "Active Record" pattern, but only as a wrapper, the model class is fully free from any service logic. Ascetic ORM follows the KISS principle. Has automatic population of fields from database (see the example below) and minimal size. You do not have to specify the columns in the class. This follows the DRY principle. Ascetic ORM as small as possible.
Inside ascetic.contrib (currently under development) you can find the next solutions:
All extensions support composite primary/foreign keys.
"Identity Map" has SERIALIZABLE isolation level by default.
What Ascetic ORM does not? Ascetic ORM does not make any data type conversions (use connection features like this), and does not has "Unit of Work". I recommend using a Storm ORM, if you need these features.
Ascetic ORM is released under the MIT License (see LICENSE file for details).
This project is currently under development, and not stable. If you are looking for stable KISS-style ORM, pay attention to Storm ORM.
Using these tables:
CREATE TABLE ascetic_tests_models_author ( id serial NOT NULL PRIMARY KEY, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(40) NOT NULL, bio TEXT ); CREATE TABLE books ( id serial NOT NULL PRIMARY KEY, title VARCHAR(255), author_id integer REFERENCES ascetic_tests_models_author(id) ON DELETE CASCADE );
You can configure in one the following ways:
1. Put in your PYTHONPATH file ascetic_settings.py with your settings. See file ascetic/settings.py for more details.
2. Define settings module in evironment variable ASCETIC_SETTINGS.
3. Call ascetic.settings.configure(), for example:
import ascetic.settings.configure ascetic.settings.configure({ 'DATABASES': { 'default': { 'engine': "postgresql", 'user': "devel", 'database': "devel_ascetic", 'password': "devel", 'debug': True, 'initial_sql': "SET NAMES 'UTF8';", } } })
We setup our objects like so:
from ascetic.model import Model from ascetic.mappers import get_mapper from ascetic.relations import ForeignKey, OneToMany class Author(Model): class Mapper(object): defaults = {'bio': 'No bio available'} validations = {'first_name': ( lambda v: len(v) > 1 or "Too short first name", lambda self, key, value: value != self.last_name or "Please, enter another first name", )} class Book(Model): author = ForeignKey(Author, related_name='books') class Mapper(object): db_table = 'books'
Now we can create, retrieve, update and delete entries in our database. Creation
james = Author(first_name='James', last_name='Joyce') get_mapper(Author).save(james) # Datamapper way u = Book(title='Ulysses', author_id=james.id) u.save() # Use ActiveRecord wrapper
a = Author.get(1) a.first_name # James a.books # Returns list of author's books # Returns a list, using LIMIT based on slice a = Author.q[:10] # LIMIT 0, 10 a = Author.q[20:30] # LIMIT 20, 10
a = Author.get(1) a.bio = 'What a crazy guy! Hard to read but... wow!' a.save()
a.delete()
object_list = Book.q.tables( (Book.s & Author.s).on(Book.s.author_id == Author.s.id) ).where( (Author.s.first_name != 'James') & (Author.s.last_name != 'Joyce') )[:10]
Query object based on sqlbuilder.smartsql, see more info.
See more info in docs: https://ascetic.readthedocs.io/
You can use Ascetic ORM with lightweight web-frameworks, like wheezy.web, Bottle, Tornado, pysi, etc.
See also: