We're excited to introduce you to our FastAPI Basic Project Template, carefully designed to jumpstart your FastAPI development journey. This template offers you a pre-configured project with a fundamental FastAPI setup and an organized folder structure, allowing you to hit the ground running.

└───app  ├───app  │   ├───api  │   │   └───v1  │   │       └───endpoints  │   ├───core  │   ├───schemas  │   └───utils  │       └───exceptions  └───test

We're thrilled to introduce you to the LangChain project template, designed to accelerate your development process. This template serves as a solid foundation for your project, complete with essential features and an organized folder structure, all thoughtfully configured and ready for use.

app    ├───app    │   ├───api    │   │   └───v1    │   │       └───endpoints    │   ├───core    │   ├───schemas    │   ├───templates    │   │   └───general_pages    │   └───utils    │       ├───adaptive_cards    │       └───exceptions    └───test

As this project usesCaddy as a reverse proxy, which uses namespaces routing, you can access the documentation with the following pathhttp://fastapi.localhost/docs

PROJECT_NAME=OPENAI_API_KEY=UNSPLASH_API_KEY=# OptionalSERP_API_KEY=# Optional############################################## Caddy variables#############################################EXT_ENDPOINT1=127.0.0.1LOCAL_1=localhostLOCAL_2=127.0.0.1

• Search weather tool
• Search images tool
• Search videos tool
• Search pokemon tool

This is a project template which usesFastAPI,Alembic and asyncSQLModel as ORM. It shows a complete async CRUD template using authentication. Our implementation utilizes the newest version of FastAPI and incorporates typing hints that are fully compatible withPython 3.10 and later versions. If you're looking to build modern and efficient web applications with Python, this template will provide you with the necessary tools to get started quickly. You can read a short article with the motivations for starting this sample projecthere.

Developing web applications can be a challenging process, especially when dealing with databases, authentication, asynchronous tasks, and other complex components. Our template is designed to simplify this process and offer you a solid starting point. Some of the highlights of this template include:

• FastAPI Integration: FastAPI is a modern and efficient web framework that allows you to quickly and easily create APIs. This template uses the latest features of FastAPI and offers type hints that are compatible withPython 3.10 and later versions.
• Asynchronous Database Management: We use SQLModel, an asynchronous ORM library, to interact with the database efficiently and securely.
• Asynchronous Tasks with Celery: This template includes examples of how to execute asynchronous and scheduled tasks using Celery, which is ideal for operations that require significant time or resources.
• Authentication and Authorization: We implement JWT-based authentication and role-based access control to ensure that your APIs are secure and protected.
• Documentation and Automated Testing: The template is configured to automatically generate interactive documentation for your APIs. It also includes automated tests using pytest to ensure code quality.
• Development Best Practices: We apply code formatting, type checking, and static analysis tools to ensure that the code is readable, robust, and reliable.

.├───.github│   └───workflows├───.vscode├───backend│   └───app│       ├───alembic│       │   └───versions│       ├───app│       │   ├───api│       │   │   └───v1│       │   │       └───endpoints│       │   ├───core│       │   ├───crud│       │   ├───db│       │   ├───deps│       │   ├───models│       │   ├───schemas│       │   └───utils│       │       └───exceptions│       └───test│           └───api├───caddy├───db_docker├───docs├───minio├───pgadmin├───sonarqube├───static└───terraform

• FastAPI - A modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
• Pydantic - A library for data validation and settings management based on Python type hints.
• SQLModel - A library for interacting with SQL databases from Python code, with Python objects.
• Alembic - A lightweight database migration tool for usage with the SQLAlchemy Database Toolkit for Python.
• Caddy - A powerful, enterprise-ready, open source web server with automatic HTTPS written in Go.
• Docker - A set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers.
• PostgreSQL - A powerful, open source object-relational database system.
• PGAdmin - The most popular and feature rich Open Source administration and development platform for PostgreSQL.
• Celery - A simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system.
• Redis - An open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker.
• Minio - A high performance distributed object storage server, designed for large-scale private cloud infrastructure.
• SonarQube - An open source platform for continuous inspection of code quality.
• Pytest - A framework that makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.