Skip to content

taohorse/sqlalchemy-pagination

 
 

Repository files navigation

sqlalchemy-pagination

Build Status

Contents

  1. About
  2. Install
  3. Usage
  4. Hacking
    1. Setup
    2. Testing
    3. Coding conventions

About

A small utility to paginate SqlAlchemy queries..

Install

Just do:

$ pip install git+ssh://[email protected]/wizeline/sqlalchemy-pagination.git

Usage

Just import the paginate method and call it with the query, the current page and the page size

from sqlalchemy_pagination import paginate

page = paginate(session.query(User), 1, 25)

The pagination objects has the following attributes

  • items: The items of the current page base on the query
  • total: Total number of items
  • pages: Total number of pages
  • has_next: Boolean indication wether there are more pages to fetch
  • has_previous: Boolean indicating wether there are previous pages
  • next_page: Next page number or None if the current page is the last one
  • previous_page: Previous page number or None if the current page is the last one

Hacking

Setup

First install Python 3 from Homebrew and virtualenvwrapper:

brew install python3
pip3 install virtualenv virtualenvwrapper

After installing virtualenvwrapper please add the following line to your shell startup file (e.g. ~/.zshrc):

source /usr/local/bin/virtualenvwrapper.sh

Then reset your terminal.

Clone this respository and create the virtual environment:

$ git clone https://github.com/wizeline/sqlalchemy-pagination
$ cd sqlalchemy-pagination
$ mkvirtualenv sqlalchemy-pagination
$ workon sqlalchemy-pagination
$ pip install -r requirements-dev.txt
$ pip install tox

Testing

To run the tests, you just do:

$ tox

Coding conventions

We use editorconfig to define our coding style. Please add editorconfig to your editor of choice.

When running tox linting will also be run along with the tests. You can also run linting only by doing:

$ tox -e flake8

About

Small utility to paginate SqlAlchemy queries.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%