Forex exchange visualizer

Web application that provides real-time Forex data visualization using dynamic line charts. It allows users to visualize the exchange rate trends between selected currencies over various periods. Built Using FastAPI, Selenium, SQLAlchemy, sqlite, chart.js.

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Requirements

• Python 3.8 or higher
• pip package manager

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Setup Instructions

Follow these steps to set up and run the project locally:

1. Clone the Repository

Clone the project repository to your local machine:

git clone https://github.com/khandelwalarvind26/Vance.git

Navigate into the project folder:

cd Vance

2. Local environment setup

Install aiocron in local environment:

pip install aiocron

3. Set Up a Virtual Environment

Create a new virtual environment:

python -m venv venv

Activate the virtual environment:

• On Windows:

  .\venv\Scripts\activate

• On macOS/Linux:

  source venv/bin/activate

4. Install Dependencies

Install the required Python packages:

pip install -r requirements.txt

5. Configure Environment Variables

Create a .env file in the root of the project (if it doesn’t already exist) and add your database URL:

For in-memory DB

DATABASE_URL="sqlite+aiosqlite:///:memory:"

For persisitent DB

DATABASE_URL="sqlite+aiosqlite:///./db_name.db"

Add country pairs on which the indexes are to be fetched

COUNTRY_COMBINATIONS=[["GBP", "INR"],["AED","INR"]]

6. Start the Application

Start the FastAPI server:

uvicorn app.main:app --host 127.0.0.1 --port 8000 --reload

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How to Use

1. After starting the server, access the API documentation at:

   http://127.0.0.1:8000/docs

2. Use the interactive Swagger UI to explore and test the endpoints.

3. Frontend with the rendered chats available at http://127.0.0.1:8000/

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Additional Notes:

• Make sure you have sqlite3 installed on your local machine.
• The server automatically reloads on code changes when running with the --reload option, useful during development.