This project automates the process of gathering and recording coding-related statistics, including typing speed (WPM), focus time, active code time, lines of code written, and daily tracking. It scrapes data from various sources like Software.com and MonkeyType using Selenium and Python, then saves the collected data into an Excel sheet for detailed reporting.
- Generate Excel Sheet: Creates an Excel file to log daily statistics for easy tracking and reporting.
- Take Screenshots: Captures screenshots of Codetime graph .
- Fetch Typing Speed (WPM): Automatically gathers typing speed (words per minute) from MonkeyType.
- Fetch Code Time: Scrapes focus time and code time from the Software.com dashboard.
- Calculate Lines of Code: Tracks and logs the number of lines written in HTML, CSS, and JavaScript.
- Total Coding Days: Logs consecutive days of activity, helping track daily progress over time.
- Copy to Clipboard: Copies the generated values, such as daily metrics or summaries, directly to the clipboard for easy sharing or further processing.
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Prerequisites For Local Setup:
Python
Google Chrome
VSCode Extensions:
TrackMe - v3.1.0
Codetime - v2.8.1
For Docker Setup:
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Clone the repository:
git clone https://github.com/sainudheenp/track_coder.git
cd track_coder
Set up the environment: Create a virtual environment and install dependencies:
python -m venv myenv
source myenv/bin/activate
pip install -r requirements.txt
Configure Environment Variables: Create a .env file in the root directory with the following variables:
# monkeytype.com
userEmail_monkey=@gmail.com
password_monkey=Password
# app.software.com
userEmail_code_time=@gmail.com
password_code_time=password
Running the Project Locally
To run the project locally, execute the following:
python main.py
for custom date :
python main.py -date 2025-01-01
Excel Output Path
The collected data will be saved in an Excel file located at:
/username/trackcoder/output.xlsx
Screenshot Output Path:
/username/trackcoder/screenshots