Lightweight library for providing filtering mechanism for your APIs using SQLAlchemy

Overview

example workflow example workflow codecov

sqlalchemy-filters-plus is a light-weight extendable library for filtering queries with sqlalchemy.

Install

pip install sqlalchemy-fitlers-plus

Usage

This library provides an easy way to filter your SQLAlchemy queries, which can for example be used by your users as a filtering mechanism for your exposed models via an API.

Let's define an example of models that will be used as a base query.

from sqlalchemy import Column, Date, Integer, String, ForeignKey
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, backref

Base = declarative_base()


class User(Base):
    id = Column(Integer, primary_key=True)
    email = Column(String)
    age = Column(Integer)
    birth_date = Column(Date, nullable=False)


class Article(Base):
    id = Column(Integer, primary_key=True)
    title = Column(String)
    user_id = Column(Integer, ForeignKey(User.id), nullable=False)
    user = relationship(
        User,
        uselist=False,
        lazy="select",
        backref=backref("articles", uselist=True, lazy="select"),
    )

Define your first filter

Let's then define our first Filter class for the Article model

from sqlalchemy_filters import Filter, StringField
from sqlalchemy_filters.operators import ContainsOperator


class ArticleFilter(Filter):
    title = StringField(lookup_operator=ContainsOperator)
    email = StringField(field_name="user.email")

    class Meta:
        model = Article
        session = my_sqlalchemy_session

The example above defines a new filter class attached to the Article model, we declared two fields to filter with, title with the lookup_operator ContainsOperator and an email field which points to the user's email, hence the field_name="user.email" without any lookup_operator (default value is EqualsOperator) that will be used to filter with on the database level. We will see other operators that can also be used.

To apply the filter class, we instantiate it and pass it the data(as a dictionary) to filter with.

my_filter = ArticleFilter(data={"email": "[email protected]", "title": "python"})
query = my_filter.apply()  # query is a SQLAlchemy Query object

Please read the full documentation here https://sqlalchemy-filters-plus.readthedocs.io/

You might also like...
flask-apispec MIT flask-apispec (šŸ„‰24 Ā· ⭐ 520) - Build and document REST APIs with Flask and apispec. MIT

flask-apispec flask-apispec is a lightweight tool for building REST APIs in Flask. flask-apispec uses webargs for request parsing, marshmallow for res

Flask + marshmallow for beautiful APIs

Flask-Marshmallow Flask + marshmallow for beautiful APIs Flask-Marshmallow is a thin integration layer for Flask (a Python web framework) and marshmal

A template for Flask APIs.
A template for Flask APIs.

FlaskAPITempate A template for a Flask API. Why tho? I just wanted an easy way to create a Flask API. How to setup First, use the template. You can do

Seamlessly serve your static assets of your Flask app from Amazon S3

flask-s3 Seamlessly serve the static assets of your Flask app from Amazon S3. Maintainers Flask-S3 is maintained by @e-dard, @eriktaubeneck and @SunDw

Flask-Bcrypt is a Flask extension that provides bcrypt hashing utilities for your application.

Flask-Bcrypt Flask-Bcrypt is a Flask extension that provides bcrypt hashing utilities for your application. Due to the recent increased prevelance of

A basic JSON-RPC implementation for your Flask-powered sites
A basic JSON-RPC implementation for your Flask-powered sites

Flask JSON-RPC A basic JSON-RPC implementation for your Flask-powered sites. Some reasons you might want to use: Simple, powerful, flexible and python

:rocket: Generate a Postman collection from your Flask application
:rocket: Generate a Postman collection from your Flask application

flask2postman A tool that creates a Postman collection from a Flask application. Install $ pip install flask2postman Example Let's say that you have a

Adds GraphQL support to your Flask application.

Flask-GraphQL Adds GraphQL support to your Flask application. Usage Just use the GraphQLView view from flask_graphql from flask import Flask from flas

A basic JSON-RPC implementation for your Flask-powered sites
A basic JSON-RPC implementation for your Flask-powered sites

Flask JSON-RPC A basic JSON-RPC implementation for your Flask-powered sites. Some reasons you might want to use: Simple, powerful, flexible and python

Comments
  • ArgumentError on pre-joined query

    ArgumentError on pre-joined query

    I'm not totally sure what's causing this so apologies for the somewhat vague issue. Hopefully you'll have a better idea!

    I have a query with a couple of joins on it already and when I attempt to filter it, I'm getting the following exception:

      File "/usr/local/lib/python3.9/site-packages/sqlalchemy_filters/filters.py", line 563, in apply
        query = self._apply_join(query)
      File "/usr/local/lib/python3.9/site-packages/sqlalchemy_filters/filters.py", line 364, in _apply_join
        if is_already_joined(query, join[0]):
      File "/usr/local/lib/python3.9/site-packages/sqlalchemy_filters/utils.py", line 37, in is_already_joined
        return join_table in [_[0] for _ in query._legacy_setup_joins]
      File "/usr/local/lib/python3.9/site-packages/sqlalchemy/sql/operators.py", line 366, in __eq__
        return self.operate(eq, other)
      File "/usr/local/lib/python3.9/site-packages/sqlalchemy/orm/attributes.py", line 317, in operate
        return op(self.comparator, *other, **kwargs)
      File "/usr/local/lib/python3.9/site-packages/sqlalchemy/orm/relationships.py", line 1302, in __eq__
        self.property._optimized_compare(
      File "/usr/local/lib/python3.9/site-packages/sqlalchemy/orm/relationships.py", line 1690, in _optimized_compare
        raise sa_exc.ArgumentError(
    sqlalchemy.exc.ArgumentError: Mapped instance expected for relationship comparison to object.   Classes, queries and other SQL elements are not accepted in this context; for comparison with a subquery, use DataSource.owner.has(**criteria).
    
    opened by TWeatherston 3
  • Using filter on query with a join creates a duplicate join

    Using filter on query with a join creates a duplicate join

    I have these two related models eg:

    class Organisation(Base):
        __tablename__ = "organisations"
        id = Column(INTEGER, primary_key=True)
        name = Column(VARCHAR(64))
    
    
    class User(Base):
        __tablename__ = "users"
        id = Column(INTEGER, primary_key=True)
        name = Column(VARCHAR(64))
        email = Column(VARCHAR(64))
        organisation_id = Column(Integer, ForeignKey("organisations.id"))
        organisation = relationship("Organisation")
    

    And then a filter for filtering users:

    class UserFilter(Filter):
        name = Field()
        email = Field(lookup_operator=ContainsOperator)
        organisation = Field(field_name="organisation.name")
    
        class Meta:
            model = User
    

    If I then create a query with a join and attempt to apply the filter to the query:

    query = db_session.query(User).join(Organisation)
    my_filter = UserFilter(data={"organisation": "test_org"}, query=query)
    query = my_filter.apply()
    print(str(query))
    

    It creates this second joining of the organisations table:

    SELECT 
        users.id AS users_id, 
        users.name AS users_name, 
        users.email AS users_email, 
        users.organisation_id AS users_organisation_id
    FROM users 
        JOIN organisations ON organisations.id = users.organisation_id
        JOIN organisations ON organisations.id = users.organisation_id
    WHERE organisations.name = ?
    
    opened by TWeatherston 1
  • Ordering by UnaryExpression raises TypeError

    Ordering by UnaryExpression raises TypeError

    Hey,

    Really love the package, great work! :+1:

    I've just been having some difficulty using the order_by with a UnaryExpression. Example from the docs:

    MyFilter(data={"order_by": User.first_name.asc()})
    

    This results in:

    TypeError: Boolean value of this clause is not defined

    It seems that this is the offending line. Would it be possible to get this changed to something like this?

    order_by = self.data.get("order_by", self._order_by)
    

    Here's a minimal working example that I was using to test this:

    from sqlalchemy import Column, VARCHAR, INTEGER, create_engine
    from sqlalchemy.orm import declarative_base, Session
    from sqlalchemy_filters import Filter, Field
    
    
    Base = declarative_base()
    
    
    class User(Base):
        __tablename__ = "users"
        id = Column(INTEGER, primary_key=True)
        name = Column(VARCHAR(64))
        email = Column(VARCHAR(64))
    
    
    class UserFilter(Filter):
        name = Field()
    
        class Meta:
            model = User
    
    
    engine = create_engine("sqlite://")
    with Session(engine) as session:
        query = session.query(User)
        my_filter = UserFilter(data={"order_by": User.name.desc()}, query=query)
        query = my_filter.apply()
    

    Thanks!

    opened by TWeatherston 1
  • Doesn't seem to apply the specific filter

    Doesn't seem to apply the specific filter

    Hi, Using your library, and this seemed to be not filtering with address_id and business_id base_filter = ScreeningHistoryFilter(data={"address_id":f"{address_id}", "business_id":f"{business_id}", "page":pagination_params.page_index, "page_size": pagination_params.page_size, "order_by": sort_params.sort_fields}, session= self.db)

    Below is the filter class: `class ScreeningHistoryFilter(Filter): address_id: Field() business_id: Field() # start_range: DateTimeField(field_name ='create_tz', lookup_operator = GTEOperator) # end_range: DateTimeField(field_name ='create_tz', lookup_operator = LTEOperator)

    class Meta:
        model = V_Address_Screening_History`
    
    opened by jaballe 4
Releases(1.1.5)
Owner
Karami El Mehdi
Karami El Mehdi
Free casino website. Madden just for learning / fun

Website Casino Free casino website. Madden just for learning / fun. Uses Jinja2 (HTML), Flask, JavaScript, etc. Dice game Preview

Kirill Zhosul 0 Jun 22, 2022
Flask app for deploying DigitalOcean droplet using Pulumi.

Droplet Deployer Simple Flask app which deploys a droplet onto Digital ocean. Behind the scenes there's Pulumi being used. Background I have been Terr

Ahmed Sajid 1 Oct 30, 2021
A Fast API style support for Flask. Gives you MyPy types with the flexibility of flask

Flask-Fastx Flask-Fastx is a Fast API style support for Flask. It Gives you MyPy types with the flexibility of flask. Compatibility Flask-Fastx requir

Tactful.ai 18 Nov 26, 2022
A flask template with Bootstrap 4, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.

cookiecutter-flask A Flask template for cookiecutter. (Supports Python ≄ 3.6) See this repo for an example project generated from the most recent vers

4.3k Dec 29, 2022
Criando um Bot com PYAUTOGUI e utilizando o Flask para Interface para UsuƔrio

Criando um Bot com PYAUTOGUI e utilizando o Flask para Interface para UsuÔrio O pyautogui foi escolhido pela possibilidade de fazer a identificação do

Rodrigo Vital 2 Oct 20, 2021
REST API with Flask and SQLAlchemy. I would rather not use it anymore.

Flask REST API Python 3.9.7 The Flask experience, without data persistence :D First, to install all dependencies: python -m pip install -r requirement

Luis QuiƱones Requelme 1 Dec 15, 2021
A Cyberland server written in Python with Flask.

Cyberland What is Cyberland Cyberland is a textboard that offers no frontend. Most of the time, the user makes their own front end. The protocol, as f

Maxime Bouillot 9 Nov 26, 2022
Serve angular production application from python flask backend. Quick and Easy

Serve angular production application from python flask backend. Quick and Easy

mark 1 Dec 01, 2022
Analytics snippets generator extension for the Flask framework.

Flask-Analytics Flask Analytics is an extension for Flask which generates analytics snippets for inclusion in templates. Installation $ pip install Fl

Mihir 80 Nov 30, 2022
Find and notify users in your Active Directory with weak passwords

Crack-O-Matic Find and notify users in your Active Directory with weak passwords. Features: Linux-based Flask-based web app Hashcat or John cracker Au

Adrian Vollmer 92 Dec 31, 2022
Alexa Skills Kit for Python

Program the Amazon Echo with Python Flask-Ask is a Flask extension that makes building Alexa skills for the Amazon Echo easier and much more fun. Flas

John Wheeler 1.9k Dec 30, 2022
A gRpc server like Flask (像Flaskäø€ę ·ēš„gRpcęœåŠ”)

Mask A gRpc server just like Flask. Install Mask support pypi packages, you can simply install by: pip install mask Document Mask manual could be fou

吓东 16 Jun 14, 2022
Flask-app scaffold, generate flask restful backend

Flask-app scaffold, generate flask restful backend

jacksmile 1 Nov 24, 2021
Force SSL on your Flask app.

Flask-SSLify This is a simple Flask extension that configures your Flask application to redirect all incoming requests to HTTPS. The extension is no l

Kenneth Reitz 26 Dec 07, 2022
A solid foundation for your flask app

Flask Foundation There is a cookiecutter version of this repo at https://github.com/JackStouffer/cookiecutter-Flask-Foundation. Documentation is locat

Jack Stouffer 1.3k Dec 11, 2022
Flask Apps - Open-Source And Paid | AppSeed

Flask Apps Open-Source web apps built with automation tools, HTML parsing and boilerplated code in Flask - - Provided by AppSeed App Generator. What i

App Generator 120 Oct 04, 2022
Open-source Flask Sample built on top of flask-dance library

Open-source Flask Sample built on top of flask-dance library. The project implements the social login for Github and Twitter - Originally coded by TestDriven.IO.

App Generator 4 Jul 26, 2022
Map Matching & Weight Completion service - Java (Springboot) & Python(Flask)

Map Matching service to match coordinates to roads using Java and Springboot. Weight Completion service to fill in missing weights in a graph, using Python and Flask.

2 May 13, 2022
Python3šŸ webApp to display your current playing music on OBS Studio.

Spotify Overlay A Overlay to display on Obs Studio or any related video/stream recorder, the current music that is playing on your Spotify. Installati

carlitos 0 Oct 17, 2022
flask extension for integration with the awesome pydantic package

Flask-Pydantic Flask extension for integration of the awesome pydantic package with Flask. Installation python3 -m pip install Flask-Pydantic Basics v

249 Jan 06, 2023