Flask-Pydanql-API 0.0.4a0

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Flask-PydanqlAPI: Create RESTful endpoints automatically

Overview

Flask-PydanqlAPI is a Flask extension designed to simplify the creation and management of RESTful APIs backed by PostgreSQL databases. Utilizing the Pydanql library, this extension automates CRUD operations and provides a host of optional features for a more customized experience.

Features

• Automated CRUD Operations: Create RESTful endpoints automatically from your Pydanql models, making it easier to handle Create, Read, Update, and Delete operations.

• Query Customization: Flexibility to customize which fields are queriable and which are returned in the response, letting you optimize the API according to your needs.

• Advanced Filtering: Add an extra layer of control over the data you retrieve through advanced query filters, enabling more precise data retrieval.

• Extendable Authentication: Although JWT authentication is not natively supported, you can easily integrate it by utilizing the filter options available.

Getting Started

Here's a minimal example to show how to set up the Flask-PydanqlAPI extension without authentication and custom filtering.

# Easily create a full-fledged API with all CRUD actions. Create, Read, Update
# and Delete. Advanced search options, extensible, and even many more.
# 
# GET Books from /books/find?year__range=1950,1960&title__like=Lord

from flask import Flask
from flask_pydanql_api import PydanqlAPI, Endpoint
from pydanql.model import ObjectBaseModel

app = Flask(__name__)


# Define youre Model 
class Book(ObjectBaseModel):
    title: str
    author: str
    year: int


# Define youre API-Endpoint
class Books(Endpoint):
    slug = 'books'
    model = Book


# Connect to your postgreSQL Database
app.config['PYDANQL_API_DB'] = { 'database': ..., 'user': ..., 'password': ... }
app.config['PYDANQL_API_ENDPOINTS'] = [Books]

PydanqlAPI(app)

if __name__ == '__main__':
    app.run(debug=True)

PostgreSQL Setup

Create a user and a database

psql postgres # Connect to your database

CREATE DATABASE testdb;
CREATE USER testuser WITH PASSWORD 'testpass';
GRANT ALL PRIVILEGES ON DATABASE testdb TO testuser;

Documentation

⚠️ Early Version Warning: This is an early version of the Flask-PydanqlAPI and is subject to changes. Although it is fully functional, future versions may introduce breaking changes. Your feedback is highly appreciated!

API Endpoints

Find

• URL: /<table>/find

• Method: GET

  • Query Parameters:

    • offset (integer, optional): Offset for pagination.
    • count (integer, optional): Number of records to fetch.
    • sort (string, optional): Sorting key.

  • Field Query Filters:

    • [field] (Type depends on the field): Direct match.
    • [field]__range (integer,integer): Range query.
    • [field]__in (comma-separated values): Inclusion in a set.
    • [field]__gt (Type depends on the field): Greater than query.
    • [field]__lt (Type depends on the field): Less than query.
    • [field]__like (string): SQL LIKE query.

• Example:

  • Basic: GET /books/find?offset=0&count=10
  • Advanced: GET /books/find?title__like=Harry&year__gt=2000

• Returns: A list of books matching the query parameters.

Get a Single Entry

• URL: /<table>/<entry_slug>

• Method: GET

  • Path Parameters:
    • table: The table name (e.g., books).
    • entry_slug: The ID of the entry to fetch.

• Example: GET /books/1234-5678-abcd

• Returns: The book with the specified ID.

Delete a Entry

• URL: /<table>/<entry_slug>

• Method: DELETE

  • Path Parameters:
    • table: The table name (e.g., books).
    • entry_slug: The ID of the entry to delete.

• Example: DELETE /books/1234-5678-abcd

• Returns: A message indicating the status of the delete operation.

Create a New Entry

• URL: /<table>/create

• Method: POST

  • Path Parameters:

    • table: The table name (e.g., books).

  • Data Payload: JSON object representing the new book.

• Example:

  curl -X POST /books/create -d '{"title":"New Book", "author":"Author Name", "year":2021}'
  

• Returns: Redirects to the new book entry.

Update a Entry

• URL: /<table>/<slug>

• Method: PUT

  • Path Parameters:

    • table: The table name (e.g., books).
    • slug: The slug identifier for the book to update.

  • Data Payload: JSON object representing the updated book.

• Example:

  curl -X PUT /books/1234-5678-abcd -d '{"title":"Updated Book", "author":"Updated Author", "year":2022}'
  

• Returns: Redirects to the updated book entry.

Defining API Endpoints and Models

ObjectBaseModel Class

The ObjectBaseModel serves as the base class for all models in this application. It includes some fundamental fields that are automatically included in every model derived from it.

Fields:

• slug: A unique string identifier for each object. The slug is auto-generated but can be manually overwritten if necessary.

Usage:

You can inherit from ObjectBaseModel when defining your models:

from pydanql.model import ObjectBaseModel

class Book(ObjectBaseModel):
    title: str
    author: str
    year: int

Endpoint Class

The Endpoint class is used to define API endpoints for the Flask application. Each Endpoint corresponds to a database table and Pydantic model that defines the shape of the data.

Attributes:

• slug: A string that sets the URL path for the API endpoint. Must be unique among all endpoints.
• model: A Pydantic model class that specifies the structure of the data for this endpoint. This should be a subclass of ObjectBaseModel.
• allowed_query_fields: A list of fields that can be queried directly via the API.
• visible_fields: A list of fields that will be visible when fetching data via the API.

Usage:

To define an endpoint, subclass Endpoint and set the slug and model attributes:

from flask_pydanql_api import Endpoint
from my_model import Book  # Assuming Book is a subclass of ObjectBaseModel

class Books(Endpoint):
    slug = 'books'
    model = Book

After defining your endpoints, you can register them to your Flask application using the PydanqlAPI class:

from flask import Flask
from flask_pydanql_api import PydanqlAPI

app = Flask(__name__)
api = PydanqlAPI(app)

This will automatically generate RESTful routes for your Endpoint classes.

Examples

Advanced Setup with JWT and Filtering

Here's an example that includes JWT authentication and custom filtering.

from flask import Flask, request, jsonify
from flask_pydanql_api import PydanqlAPI, Endpoint
from pydanql.model import ObjectBaseModel
from datetime import datetime
from flask_jwt_extended import create_access_token, verify_jwt_in_request, get_jwt_identity, JWTManager


class Book(ObjectBaseModel):
    """This is a basic Pydanql model for books"""
    title: str
    author: str
    year: int
    owner: str

    def years_since_published(self) -> int:
        """Custom method to calculate the years since the book is published"""
        current_year = datetime.now().year
        return current_year - self.year + 1

    def description(self) -> str:
        """Custom method that generates a description"""
        return f"The Book \"{self.title}\" by {self.author} was published in the year {self.year}."


class Books(Endpoint):
    """Use the endpoint class for advanced configuration"""

    # part of the url to accesse the table  /<slug>/find?title__like=Lord
    slug = 'books'

    # The object for table entries
    model = Book

    # Fields from the model that can be queried
    allowed_query_fields = ['title', 'author', 'year']

    # Fields that are exposed in the result
    visible_fields = ['slug', 'title', 'author', 'year', 'owner']

    @staticmethod
    def _filter(query_type: str, query_table: str):
        verify_jwt_in_request()
        if query_type in ['find', 'get', 'create', 'update', 'delete']:
            return {'owner': get_jwt_identity()}


app = Flask(__name__)

# Setup JWTManager
app.config['JWT_SECRET_KEY'] = 'super-secret'
JWTManager(app)

# Setup FlaskPydanqlAPI
app.config['PYDANQL_API_DB'] = {
    'database': 'testdb',
    'user': 'testuser',
    'password': 'testpass',
    'host': 'localhost',
    'port': '5432'
}
app.config['PYDANQL_API_ENDPOINTS'] = [Books]
PydanqlAPI(app)


@app.route('/login', methods=['POST'])
def login():
    """Custom route to handle the login with JWTManager"""
    if request.json is None:
        return jsonify({"error": "Bad Request", "message": "No JSON payload provided"}), 400

    username = request.json.get('username', None)
    password = request.json.get('password', None)
    
    # In a real-world app, you'd validate these credentials against a database
    if password != 'password':
        return jsonify({'login': False}), 401

    access_token = create_access_token(identity=username)
    return jsonify(access_token=access_token), 200


if __name__ == '__main__':
    app.run(debug=True)

Contributing

We are open to contributions. Please fork the repository and submit your pull requests!

License

Flask-PydanqlAPI is licensed under the MIT license.