qjoin is a data manipulation library that provides simple and efficient joining and collection processing functionality. It simplifies and optimizes the process of joining different entities and provides methods for aggregating, organizing, and sorting data.
- qjoin is a simple and efficient way to join and process data
- qjoin is a steroid extension of the
zipfunction in python - qjoin works on all iterators, whether lists of dictionaries, objects or sqlalchemy or django models
pip install qjoinHere are examples of how qjoin will be used in the future.
# Basic usage
qjoin.on(persons).join(cities, key="city").all()
person_infos = qjoin.on(persons).join(cities, left="city", right="city").all()
for person, city in person_infos:
print(f'{person} - {city}')
person_infos = qjoin.on(persons) \
.join(cities, left=lambda p: p.city, right=lambda c: c.city) \
.join(cars, left=lambda p: p.car, right=lambda c: c.car) \
.all()
for person, city, car in person_infos:
print(f'{person} - {city} - {car}')
# Advanced transformation
qjoin.on(persons) \
.join(cities, left=lambda p: p.city, right=lambda c: c.city) \
.join(cars, left=lambda p: p.car, right=lambda c: c.car) \
.as_aggregate(Aggregate, ['person', 'city', 'cars'])The following syntaxes are to be implemented and documented. You want to discuss it, participate or suggest other syntaxes, join us on discord.
# Advanced transformation
qjoin.on(persons) \
.join(cities, left=lambda p: p.city, right=lambda c: c.city) \
.join(cars, left=lambda p: p.car, right=lambda c: c.car) \
.as_aggregate(Aggregate, lambda p, ci, ca: Aggregate(p, ci, ca))
qjoin.on(persons) \
.join(cities, left=lambda p: p.city, right=lambda c: c.city) \
.as_lookup(lambda p: p.name)
qjoin.on(persons) \
.join(cities, left=lambda p: p.city, right=lambda c: c.city) \
.as_multilookup(lambda p, c: c.city)
# Advanced
qjoin.on(persons) \
.join(cities, left=lambda p: p.city, right=lambda c: c.city, scan_strategy=qjoin.RIGHT_LOOKUP)
.join(cars, left=lambda p: p.car, right=lambda c: c.car, default=Car(car='unknown', constructor='unknown')) \
.as_aggregate(Aggregate, lambda p, ci, ca: Aggregate(p, ci, ca))You can run this template with docker. The manufactured image can be distributed and used to deploy your application to a production environment.
docker-compose build
docker-compose run appgitpod can be used as an IDE. You can load the code inside to try the code.
You can find the latest version to ...
git clone https://github.com/FabienArcellier/qjoin.gitIf you want to discuss about it, contact us through discord
Contributing to this project is done through merge request (pull request in github). You can contribute to this project by discovering bugs, opening issues or submitting merge request.
more in CONTRIBUTING.md
MIT License
Copyright (c) 2023-2023 Fabien Arcellier
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.