reproduction-trace-instrumenter

To capture a Python execution trace for bug reproduction, you instrument the target Python code to record function calls, variable states, and control flow, generating a detailed JSON trace file for deterministic replay.

Python code instrumentation for bug replay is the process of modifying the AST to capture execution events, such as function calls and variable assignments, outputting a JSON trace and executable script to deterministically reproduce the exact sequence of events.

Yes, you can generate a replay script from a Python trace.json file using a dedicated replay generator component, which creates an executable Python script that deterministically replays the captured execution flow for local debugging.

Yes, this bug reproduction tool works with Python 3 applications by manipulating the Abstract Syntax Tree (AST) to instrument the code, requiring no external dependencies to capture function calls and control flow events.

The best way to debug an intermittent Python bug locally is to instrument the application to capture detailed execution traces, run it until the bug occurs, and then use the generated replay script to debug the exact sequence of events.

During trace instrumentation, Python execution events captured include function calls, variable assignments, and control flow events, all of which are saved into a detailed JSON trace file for subsequent bug reproduction and diagnosis.