ans123's picture
Initial upload from Colab
ef1ad9e verified

Introduction

This microservice comprehensively manages all aspects pertaining to user documents. From creation to retrieval and updates, it efficiently handles all operations related to user documents, ensuring seamless functionality and accessibility.

Tech Stack

Backend Framework:

  • FastAPI: Employed as the backend framework, FastAPI offers a high-performance, Python-based platform for crafting APIs. Its asynchronous capabilities enable efficient handling of concurrent requests, making it well-suited for modern web development.

Database:

  • Azure Cosmos DB: Selected as the database solution, Azure Cosmos DB provides a globally distributed, multi-model database service. Its scalability and flexibility empower seamless storage and management of diverse data types, facilitating the development of robust and adaptable applications.
  • Azure Blob Storage: Azure Blob Storage is utilized for storing documents and files, complementing the system's capabilities to efficiently manage and organize non-relational data.

Monitoring:

  • Azure Application Insights: Integrated for monitoring the application, Azure Application Insights provides comprehensive insights into application performance, usage, and issues, enabling proactive management and optimization.

Functionality

  • User Document CRUD: Seamlessly handles CRUD operations for user documents, providing essential functionalities such as creation, retrieval, updating, and deletion. Access these APIs via the router at /file .

Installation

  1. Clone this repository to your local machine:

    https://github.com/miralabsai/document-service.git
    
  2. Navigate to the project directory:

    cd document-service
    
  3. Create a virtual environment (recommended) using venv or virtualenv:

    # Using venv
    python -m venv venv
    
    # Activate the virtual environment
    source ./venv/Scripts/activate
    
  4. Install the required dependencies:

    pip install -r requirements.txt
    

Setting up Environment Variables

  1. Copy the .env.example file to create a new .env file:

    cp .env.example .env
    
  2. Edit the .env file and provide appropriate values for the environment variables.

Running the service

To run the service, use the following command:

python -m uvicorn app.main:app --reload --port 5001

This will start the server on http://localhost:5001.

You can now access the Swagger UI for interactive documentation at http://localhost:5001/docs.