Organizations adopting Maestro for its speed and simplicity often face a massive hurdle: a legacy codebase of thousands of Selenium/Appium tests. Rewriting these scripts from scratch is inefficient, error-prone, and risk-heavy.
The Challenge: Paradigm Mismatch
The primary challenge lies in translating imperative Python codeâwhich supports arbitrary logic, loops, and external library callsâinto declarative Maestro YAML. Python scripts often mix test steps with setup logic and complex control flows, while Maestro flows are primarily linear sequences of user actions.
The Solution: AST-Based Transpilation
Instead of simple text processing, I built a robust **AST (Abstract Syntax Tree) Parser**. This allows the tool to understand the structure and grammar of the Python code, ensuring accurate extraction of test intent regardless of formatting.
How It Works
- AST Parsing: Traverses the Python source code to identify test methods, ignoring noise like driver initialization.
- Intelligent Mapping: Maps Selenium actions to Maestro commands (e.g., `click()` â `tapOn`, `send_keys()` â `inputText`).
- Advanced Handling: Converts `print()` statements to `runScript: console.log(...)` and `time.sleep()` to delays.
- YAML Generation: Produces clean, valid YAML output with safety nets for unsupported actions.
Outcome
This tool effectively automates the repetitive migration work, converting typical test files in seconds. It provides accurate mapping for standard actions and intelligently flags unsupported logic for manual review, transforming a daunting migration project into a manageable process.
