TaskFeasibilityAnalyzer

TaskFeasibilityAnalyzer is a Python package designed to determine the feasibility of coding tasks using GPT-3. It provides a probability score indicating whether a task can be completed successfully based on the project's structure and technology stack.

Installation

To install TaskFeasibilityAnalyzer, you can use pip:

pip install TaskFeasibilityAnalyzer

Usage

As a Python Module

TaskFeasibilityAnalyzer can be used as a Python module in your scripts.

Analyzing a Task's Feasibility

import json
from taskfeasibilityanalyzer import TaskFeasibilityAnalyzer

# Initialize the analyzer with the target directory and your OpenAI API key
analyzer = TaskFeasibilityAnalyzer('/path/to/your/project', 'your-openai-api-key')

# Analyze a task and get a probability score
task_description = "Refactor the database schema to improve performance."
probability = analyzer.analyze_task(task_description)
result = json.loads(probability)
print(f"The probability that the task can be completed successfully is {result:.2f}")

Features

• Integrates with GPT-3: Leverages the power of GPT-3 to analyze the complexity and requirements of coding tasks.
• Project Structure Analysis: Uses ProjectStructoR to understand the project's structure and technology stack.
• Probability Score: Provides a numerical estimate indicating the feasibility of completing a task.

Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

License

This project is licensed under the MIT License.