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# PyTraceX
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**PyTraceX** is a lightweight and extensible Python library designed for **execution flow tracing**, **audit logging**, **correlation ID tracking**, **ML pipeline monitoring**, and **file I/O tracing**. It provides a seamless way to capture, analyze, and manage system interactions, all while maintaining a minimal footprint and high configurability.
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---
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## ✨ Features
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- **Function Execution Tracing**
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Capture function calls, execution time, and input arguments automatically.
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- **Audit Logging**
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Securely log critical operations with tamper-proof signatures.
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- **Correlation ID Tracking**
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Associate correlation IDs with requests to enable distributed tracing across microservices.
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- **ML Pipeline Monitoring**
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Track data transformations, preprocessing, and model training workflows.
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- **File I/O Tracing**
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Monitor file operations such as reading, writing, and closing files with built-in tracking.
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- **Real-Time Execution Monitoring** *(Optional)*
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A web-based dashboard for interactive monitoring and visualization.
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- **Configurable and Extensible**
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Supports in-memory storage by default, with the option to integrate databases or other external systems.
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---
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## 📌 Key Benefits
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- **Minimal Dependencies**
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Uses only standard Python libraries by default, ensuring lightweight deployment.
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- **Plug-and-Play Decorators**
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Easily add tracing, logging, and monitoring to existing functions with simple annotations.
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- **Production-Ready**
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Designed for both local development and large-scale distributed systems.
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- **Security & Compliance**
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Includes tamper-proof event logging and configurable **PII masking** for data protection.
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---
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## 🛠 Configuration
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PyTraceX is **highly configurable**, allowing users to define:
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- Custom logging formats and verbosity.
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- Secure hashing mechanisms for audit logs.
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- PII masking rules to anonymize sensitive data.
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- Storage backends for trace event persistence.
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All configurations are easily adjustable to fit different use cases.
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---
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## 📊 Real-Time Monitoring *(Optional)*
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For those who require **real-time trace visibility**, PyTraceX offers an optional web-based dashboard.
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This allows users to:
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- View recorded function calls and events.
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- Monitor live execution logs.
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- Filter and search trace events dynamically.
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---
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## 🎯 Use Cases
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PyTraceX is designed for a wide range of applications, including:
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- **Debugging complex execution flows** in microservices and distributed systems.
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- **Enhancing observability** in data pipelines and machine learning workflows.
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- **Ensuring compliance** with secure logging for sensitive operations.
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- **Tracking file interactions** in automated workflows and backend systems.
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Its modular design makes it adaptable to both **small-scale scripts** and **enterprise-level applications**.
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---
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## 📜 License
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PyTraceX is released under the **MIT License**.
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Users are free to modify, distribute, and use the library in both personal and commercial projects.
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---
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## 🤝 Contributing
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We welcome contributions to improve and expand PyTraceX.
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- **Report issues** to help identify bugs and areas for improvement.
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- **Suggest features** that could enhance usability and functionality.
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- **Submit pull requests** to contribute directly to the project.
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Your feedback and participation help make PyTraceX better for everyone!
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---
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## 📬 Contact
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For any inquiries, support, or feature requests, please reach out through the issues or discussion parts of the repository.
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