Python api development examples

Miranda 70 Published: 06/14/2024

Python api development examples

Here are some Python API development examples:

Example 1: Simple RESTful API with Flask

Let's create a simple RESTful API using Flask to store and retrieve user data. We'll use the flask_restful library to handle requests and responses.

from flask import Flask, request

from flask_restful import Resource, Api

app = Flask(name)

api = Api(app)

class User(Resource):

def get(self, id):

Return a user by ID

return {'user': f'ID: {id}'}

def post(self):

Create a new user

data = request.get_json()

return {'user': 'Created successfully'}

class Users(Resource):

def get(self):

Return all users

return [{'user': 'User 1'}, {'user': 'User 2'}]

api.add_resource(User, '/users/int:uid')

api.add_resource(Users, '/users')

if name == 'main':

app.run(debug=True)

Example 2: Building a Chatbot with Rasa

Let's build a simple chatbot using Rasa to handle user input and respond accordingly.

from rasa.nlu import entities
Define intents and responses

intents = {'greeting': 'Hello, I'm your assistant. What can I help you with?'}

responses = ['Sorry, I didn't quite catch that. Can you try again?']

Define a domain

domain = {'entities': ['time']}

Create an NLU component

nlu = entities.EntityExtractor()

Train the NLU model

nlu.train(intents)

Run the chatbot

rasa.run('chatbot', 'localhost', 5005)

Example 3: Building a Microservice with Django

Let's build a simple microservice using Django to handle user requests and process data.

from django.http import HttpResponse

def index(request):

Return a welcome message

return HttpResponse('Welcome to our API!')

def process_data(request):

Process user input

data = request.GET.get('data')

Return processed data

return HttpResponse(f'Processed data: {data}')

Example 4: Building a GraphQL API with Django

Let's build a simple GraphQL API using Django to handle user queries and mutations.

from django_filters.rest_framework import FilterSet

from graphene import ObjectType, String

class Book(ObjectType):

title = String()

Define a query type

class Query(ObjectType):

book = String()

def resolve_book(self, info, **kwargs):

Return a book by ID

return {'title': 'To Kill a Mockingbird'}

class Mutation(ObjectType):

create_book = String()

def mutate(self, info, **kwargs):

Create a new book

return {'message': 'Book created successfully'}

Run the GraphQL API

graphql_api = Query().as_graphql(schema)

These are just a few examples of Python API development. There are many more libraries and frameworks available to help you build scalable and robust APIs.

Additional Resources

Flask: https://flask.palletsprojects.com/ Rasa: https://rasa.com/ Django: https://www.djangoproject.com/ GraphQL: https://graphql.org/

I hope these examples and resources help you get started with building your own Python APIs!

How to create API in Python Django

To create an API in Python using the Django framework, you'll need to follow these steps:

Create a new Django project and app: Start by creating a new Django project and app. You can do this using the command line:
django-admin startproject api_project

cd api_project/

python manage.py startapp api_app

Configure the API app: In your api_app directory, create a file called views.py. This is where you'll define your API endpoints. Define API endpoints: In views.py, import the necessary modules and define your API endpoints using Django's @api_view decorator:
from rest_framework.response import Response

from rest_framework.views import APIView

class MyAPI(APIView):

def get(self, request):

return some data in JSON format

data = {'message': 'Hello, World!'}

return Response(data)

def post(self, request):

handle POST requests

pass

Create a serializer: A serializer is used to convert complex data types into a Python dictionary. In this example, we'll use Django's built-in JsonResponse:
from rest_framework import serializers

class MySerializer(serializers.Serializer):

message = serializers.CharField()

def create(self, validated_data):

do something with the data

pass

def update(self, instance, validated_data):

do something with the data

pass

Create API views and routers: Create a new file called urls.py in your api_app directory:
from django.urls import path

from .views import MyAPI

urlpatterns = [

path('my_api/', MyAPI.as_view()),

]

Add API URLs to the main project URLconf: In your main_project/urls.py, add a new URL pattern for your API app:
from django.urls import path, include

urlpatterns = [

...

path('api/', include('api_app.urls')),

]

Create and apply migrations: Django uses an ORM (Object-Relational Mapping) system to interact with the database. To create tables for our data models, we'll need to create a migration:
python manage.py makemigrations

python manage.py migrate

Run the development server: Start your development server using the command line:
python manage.py runserver

Test the API: Use a tool like curl or Postman to test your API endpoints:
curl http://localhost:8000/api/my_api/

Deploy the API: Once you're satisfied with your API, you can deploy it to a production environment using a web server and database setup.

That's a basic overview of how to create an API in Python using Django!