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.
.. _documentation: https://schemapy.readthedocs.io
.. _PyDAL: https://github.com/web2py/pydal
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Installation
.. code-block:: text
pip install schemapy
Usage
Using PyDAL:
.. code-block:: python
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))