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Currency Exchange Rate Tracker

This project is a web application that allows users to track and visualize relative changes in currency exchange rates for various countries over a selected date range. The application is built using Python, following an Object-Oriented Programming (OOP) approach, and runs within its own virtual environment.

Table of Contents

Features

  • Currency Rate Fetching: Fetches exchange rates for USD, EUR, GBP, JPY, TRY, INR, and CNY for a user-specified date range from finmarket.ru.
  • Country Currency Data: Retrieves and updates the list of world currencies from iban.ru.
  • Data Synchronization: Synchronizes fetched data with a local SQLite database, ensuring only changed or new records are updated.
  • Relative Rate Calculation: Calculates and stores relative changes in exchange rates for each country, based on a user-selected reference date.
  • Interactive Web Interface: Users can visualize relative changes in currency rates for selected countries over a chosen date range.

Prerequisites

  • Python 3.7+
  • Virtual Environment (venv)
  • Internet connection for fetching data

Installation

  1. Clone the Repository:

    git clone https://github.com/qwer112358/python_intern.git
cd currencyProject

  2. Set up the Virtual Environment:

    python3 -m venv venv
source venv/bin/activate   # On Windows use `venv\Scripts\activate`

  3. Install Dependencies:

    pip install -r requirements.txt

Usage

  1. Run the Web Application:

    python manage.py runserver

  2. Access the Application:

    Open your web browser and navigate to http://127.0.0.1:8000/.

  3. Interact with the Interface:

    • Select a date range to fetch currency exchange rates.
    • Choose countries and date ranges to visualize relative changes in currency rates.

Structure

  • main/models.py: Contains the database models for storing currency and country data.
  • main/views.py: Handles web requests and responses, rendering HTML templates.
  • main/utils/scraper.py: Contains classes and methods for fetching and processing data from external sources.
  • main/utils/SyncDB.py: Contains logic for calculating relative currency changes.
  • main/utils/CurrencyPlot.py: Handles the creation and encoding of plots for visualizing relative changes in currency rates using Matplotlib and Pandas.
  • main/templates/: HTML templates for the web interface.

Example Plot

Here is an example of a plot generated by the CurrencyPlot class, showing the relative changes in currency rates:

download

To see plots in action, run the application and navigate to the visualization interface where you can select countries and date ranges to generate similar plots.