Schemapy

Schemapy allows you to generate objects for centralized database access. You define the schema for your API, the code that needs to be executed, then the validation part is dealt with for you. Everything is then encapsulated in a single object.

Schemapy relies on PyDAL for schema definition but is not tied to it.

See documentation for more informations.

Installation

pip install schemapy

Usage

Using PyDAL:

from schemapy import API, DAL, Field
from datetime import datetime, timedelta

db = DAL('sqlite:memory')
db.define_table(
    'users',
    Field('name', type='string', required=True),
    Field('created_on', type='date')
)

db.define_table(
    'posts',
    Field('subject', type='string', required=True),
    Field('author', type='reference users', required=True),
    Field('created_on', type='date'),
    Field('content', type='text', required=True)
)

api = API(db)

@api.as_action(
    type='read',
    request=[
        Field('begin', type='date', required=True),
        Field('end', type='date', required=True)
    ],
    response=db.posts
)
def select_posts_by_date(db, req, action):
    query = (db.posts.created_on >= req.begin) | (db.posts.created_on <= req.end)
    return db(query).select()

now = datetime.now()
result = api.select_posts_by_date(
    begin=now - timedelta(days=1),
    end=now
)
print(list(result))