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FastAPI Templates and Webhooks templates

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Update Inventory Quantity with Shopify FastAPI

Using FastAPI, this app allows users to update inventory quantity of a product and to get inventory_level_id of a product in a Shopify store. Users can set the necessary environment variables, including the SHOPIFY_ADMIN_API_TOKEN to enable the app to access the store. The app has following end points: - An endpoint to adjust the inventory level of a product (`/update_inventory`). - An endpoint to get the inventory level ID of a product (`/get_inventory_level_id`).

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FastAPI endpoint for Text Classification using OpenAI GPT 4

This API will classify incoming text items into categories using the Open AI's GPT 4 model. If the model is unsure about the category of a text item, it will respond with an empty string. The categories are parameters that the API endpoint accepts. The GPT 4 model will classify the items on its own with a prompt like this: "Classify the following item {item} into one of these categories {categories}". There is no maximum number of categories a text item can belong to in the multiple categories classification. The API will use the llm_prompt ability to ask the LLM to classify the item and respond with the category. The API will take the LLM's response as is and will not handle situations where the model identifies multiple categories for a text item in the single category classification. If the model is unsure about the category of a text item in the multiple categories classification, it will respond with an empty string for that item. The API will use Python's concurrent.futures module to parallelize the classification of text items. The API will handle timeouts and exceptions by leaving the items unclassified. The API will parse the LLM's response for the multiple categories classification and match it to the list of categories provided in the API parameters. The API will convert the LLM's response and the categories to lowercase before matching them. The API will split the LLM's response on both ':' and ',' to remove the "Category" word from the response. The temperature of the GPT model is set to a minimal value to make the output more deterministic. The API will return all matching categories for a text item in the multiple categories classification. The API will strip any leading or trailing whitespace from the categories in the LLM's response before matching them to the list of categories provided in the API parameters. The API will accept lists as answers from the LLM. If the LLM responds with a string that's formatted like a list, the API will parse it and match it to the list of categories provided in the API parameters.

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FastAPI Backend Server

This skeleton is streamlined for creating backend services using FastAPI. It's an excellent choice for building microservices or APIs with minimal frontend requirements.

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Stripe Webhook FastAPI Test Sender

By leveraging FastAPI, this template will send and test the mock webhook received from the Stripe API. Stripe Webhook test will print the data on the console.

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Create Subscription with Stripe FastAPI

This app integrates a custom Stripe subscription API. It includes a backend service set up using FastAPI and is compatible with any price point established through the Stripe API. The backend service creates a Stripe subscription and allows all CORS. It also logs sent requests and subscription statuses. The price ID, customer ID, and payment method are fetched during the request from the user. After adding the Stripe API key, the backend service can be activated by clicking the test button. The required environment secrets for this app are STRIPE_SECRET_KEY.

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Create Event in Google Calendar FastAPI

This is a FastAPI application that interacts with the Google Calendar API to create events. It requires three environment secrets: CLIENT_ID, CLIENT_SECRET, and REDIRECT_URI. The application has three main endpoints: POST /create_event: This endpoint accepts a dictionary representing an event and attempts to create this event on the primary calendar of the authenticated user. GET /oauth2callback: This endpoint handles the OAuth2 callback from Google. If no code is provided, it redirects the user to the Google authorization page. If a code is provided, it exchanges the code for an access token and stores the token. GET /clear_credentials: This endpoint clears the stored credentials. Please note that the application must be authenticated with Google before events can be created. This is done by accessing the /oauth2callback endpoint and following the Google authorization process.

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Get All Products with Shopify API

The Shopify Get All Products Downloader is a FastAPI application that connects to a Shopify store using the provided store URL and Shopify API credentials. It retrieves all products from the Shopify store and returns them in JSON format. The app also includes frontend JavaScript code that calls the backend API and downloads the products (all or from a specific collection) which can be used for your storefront. You need to provide SHOPIFY_API_KEY and SHOPIFY_ADMIN_API_TOKEN.

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Get Facebook Post Comments Using API

An app for fetching a post's comments using the Facebook API. The permission scopes you will need are `pages_read_engagement`, `pages_manage_metadata` and `pages_read_user_content`. This app uses the FastAPI to create an endpoint to call the Facebook API for getting a post's comments according to the post id and access token we provide the app. Using this app, we can retrieve and analyze comments on Facebook posts using the Facebook API.

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Get Orders using Shopify API

A python app for getting orders in a store using the Shopify API. The python FastAPI is used for making the API call. The app requires a SHOPIFY_ADMIN_API_TOKEN and "orders" scope permissions to authenticate requests. This app can be customized to get all orders by name, by order ID (order number), fulfilled orders only and so on.

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We blogged about Fast Api!

FastAPI Templates and Webhooks

Do you want to supercharge your API development with an up-to-the-minute framework (think FastAPI!) and promising templates and webhooks? Lazy AI has prepared the perfect combination for you because FastAPI isn’t just fast but also one of the most efficient frameworks you can use to build APIs with next-level performance and user-friendliness. Several reports show that it can handle requests 80% faster than traditional frameworks. So, whether you’re creating web applications, SaaS products, or handling data-driven projects, Lazy AI’s FastAPI templates can help you create strong and scalable apps and webhooks in record time, even without extensive coding experience!

Types of FastAPI Templates

Basic FastAPI Templates

If you want to start with a clean foundation for your projects, Basic FastAPI templates will be perfect! They have a well-organized structure that separates models, routes and schemas. Plus, these have pre-configured error handling and logging features, database connection utilities and a thorough testing setup that employs pytest to guarantee your code's reliability.

FastAPI Jinja2 Templates

FastAPI Jinja2 templates can offer you strong server-side rendering by simplifying HTML rendering and letting you keep up with a consistent style across different pages via template inheritance. They can manage your static files like CSS and JavaScript while also providing pre-configured form handling and validation.

FastAPI HTML Template

If you want modern web interfaces upgraded for FastAPI applications, this is the template for you! It has responsive layouts backed by popular CSS frameworks namely Bootstrap and Tailwind CSS and strong security capabilities like CSRF protection and professionally-designed error handling pages for status codes like 500 and 404.

FastAPI Project Template

For building complex applications, the FastAPI project template is an enterprise-grade boilerplate that can support modular structures and manage complex configurations. This will offer you background task processing, caching features, automated API documentation generation and also Docker and CI/CD pipeline templates to address modern deployment needs.

FastAPI React Template

Mix the backend power of FastAPI and the frontend prowess of React, and you'll get the template you need. It allows seamless integration between the two and has JWT authentication flows, pre-made and customizable React components and WebSocket integration.

FastAPI Vue Template

Amalgamating Vue 3’s composition API and FastAPI’s backend features, this template will give you automated API interface generation and state management with Vuex or Pinia, with full TypeScript support. It also has a complete and smooth authentication flow, making it your best choice for making modern web applications.

Python FastAPI Template

If you want type safety, this template harnessing Python best practices employs type hints and validation via Pydantic models to ensure that. You can also get async database handling patterns and security middleware to document and guard your apps right out of the box.

Common Features Across Templates

Whatever template you choose, each of them is packed with essential features needed for modern web development: • Automatic OpenAPI Documentation that stays in sync with your code variations. • Built-in Authentication & Authorization for top-notch security. • Request Validation & Response Serialization for consistent API responses. • CORS Configuration & Security Headers to avoid vulnerabilities with cross-origin requests. • Health Check Endpoints & Metrics Collection Features for monitoring your app health.

Benefits of Using Lazy AI’s FastAPI Templates

Quicker Development Process

Lazy AI’s FastAPI ready-made templates give you a head start. By using them, sample applications, SaaS boilerplates, and pre-configured API endpoints, you can cut your overall development time significantly.

High-Performance and Speed

FastAPI is all about speed and efficiency, making it perfect for high-performance APIs dealing with heavy loads so you don’t have to compromise on speed, no matter the demand. Research shows FastAPI templates with JInga2 can process 2 to 3 times more requests every second than classic frameworks.

Code Flexibility

Whether you’re a developer or not, Lazy AI’s no-code and low-code options make it super easy for just anyone to build, deploy, and manage FastAPI applications. This means you get rapid prototyping without extensively depending on technical resources.

Better Scalability and Reliability

Lazy AI’s FastAPI templates are built to scale. Since scalability is a must for SaaS products and data-driven apps, these are perfect for addressing the needs of your growing user base.

Types of FastAPI Templates from Lazy AI

Whatever your application needs are, Lazy AI has a wide variety of FastAPI templates to cater to them:

  • **FastAPI CRUD Templates**: Quickly set up create, read, update, and delete operations for any resource.
  • **FastAPI Authentication Templates**: Implement user authentication and authorization, including JWT or OAuth2 flows.
  • **FastAPI Admin Panel Templates**: Build administrative dashboards to manage users, data, and system configurations.
  • **FastAPI Ecommerce Templates**: Create APIs for ecommerce platforms, including product management, cart operations, and order processing.
  • **FastAPI Chat App Templates**: Develop real-time chat applications with WebSocket integration.
  • **FastAPI Dashboard Templates**: Design APIs for data-driven dashboards with real-time analytics and visualizations.
  • **FastAPI Microservice Templates**: Build modular microservices that integrate seamlessly into larger systems.
  • **FastAPI File Upload Templates**: Simplify file handling with APIs for uploading, processing, and storing files.
  • **FastAPI Payment Integration Templates**: Integrate payment gateways like Stripe or PayPal with pre-configured APIs.
  • **FastAPI Machine Learning Deployment Templates**: Deploy machine learning models as APIs for real-time inference.

Common Challenges in Building FastAPI Apps and Webhooks - How Lazy AI Solves Them?

It’s exciting to build FastAPI apps and webhooks, but certain challenges come with it, too. Here’s how Lazy AI comes helps tackle them head-on:

Challenge: Initial Setup and Configuration

Building your FastAPI apps from scratch, especially SaaS or data-driven ones, can take a lot of time and configuration.
Solution: Lazy AI’s pre-configured templates provide boilerplates and sample apps that will give you a structured foundation so you can skip the tedious setup and start straight with development.

Challenge: User Authentication and Authorization

When making apps requiring tight security, implementing user authentication measures and managing access can get overwhelming, especially with multiple roles.
Solution: Lazy AI’s authentication API templates come with built-in mechanisms like OAuth, JWT, and role-based access control so you can set up secure access quickly and easily.

Challenge: Building and Handling Webhook Integrations

Webhooks are vital for real-time data communication between your apps, but building reliable, secure and error-immune ones is challenging.
Solution: Lazy AI’s Webhook Handler templates include robust error handling, security checks, and logging features to aid smooth data transfer and smooth integration.

Challenge: Performance and Scalability

Your FastAPI applications must be designed to handle high traffic and large datasets.
Solution: Lazy AI’s templates are optimized for scalability, supporting asynchronous requests and efficient data handling so you can build scalable apps.

Challenge: Data Privacy and Security Standards Compliance

APIs often deal with sensitive data, which calls for compliance with rules like GDPR and HIPAA.
Solution: Lazy AI’s templates come equipped with data encryption, access controls, and privacy management options, making compliance with security standards a breeze.

Challenge: Time-Consuming Testing and Debugging

Debugging FastAPI applications becomes time-consuming, especially for complex SaaS apps and APIs.
Solution: Lazy AI templates have sample data and testing features, too, so you can test and debug your apps before launching them.

Getting Started with FastAPI and Lazy AI

Integrating Lazy AI with FastAPI is straightforward. Once connected, you can explore an extensive library of templates designed for various API functionalities. Select a template, customize it to fit your project’s needs, and deploy it quickly. Whether you’re building a simple CRUD API or a complex ecommerce backend, Lazy AI streamlines the development process, making it accessible even for developers new to FastAPI.

How Lazy AI Enhances Collaboration in FastAPI Projects

FastAPI projects often involve collaboration between developers, data engineers, and DevOps teams. Lazy AI enhances collaboration by providing a centralized platform for managing API templates and workflows. Teams can share and review code in real time, standardize their development processes, and ensure consistent implementation of best practices. This streamlined approach improves communication and accelerates project timelines.

Optimizing FastAPI Performance with Lazy AI

Performance is critical in API development, especially for applications handling high traffic or complex data operations. Lazy AI helps optimize FastAPI projects by automating tasks like query optimization, caching, and load balancing. It also provides monitoring tools to track API performance and identify bottlenecks, ensuring your APIs remain fast, reliable, and scalable.

Scaling FastAPI Applications with Lazy AI

As your application grows, scaling your API infrastructure becomes essential. Lazy AI simplifies this by offering modular templates and centralized tools for managing microservices, load balancing, and version control. Whether you’re expanding your application’s capabilities or integrating new services, Lazy AI ensures your FastAPI projects scale seamlessly to meet growing demands.

Final Words – Why Are Lazy AI’s FastAPI Templates Ideal?

Lazy AI’s FastAPI templates give you a quick and reliable solution for building web applications, APIs, and SaaS products. Having various benefits and solutions for all kinds of developing challenges, these are your best choices for quick development!

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