Introduction to MonkeyType

MonkeyType is a dynamic and powerful tool that aids in the generation and application of type annotations within Python code. It observes the types of function arguments and return values at runtime, making it a highly instrumental tool in enhancing code quality and maintainability.

Getting Started with MonkeyType

 # Installing MonkeyType pip install monkeytype
# Generating a stub for a function monkeytype run myscript.py
# Applying the stub to your code monkeytype apply myscript 

API Examples and Usage

1. Running MonkeyType

 # Running MonkeyType to trace the code monkeytype run mymodule.py 

2. Viewing Recorded Traces

 # Viewing the recorded traces monkeytype list-trace 

3. Applying Type Annotations

 # Applying the recorded types to a module monkeytype apply mymodule 

4. Customizing Configuration

 from typing import Any from monkeytype.config import DefaultConfig
class MyConfig(DefaultConfig):
    def trace_store(self) -> Any:
        return MyCustomTraceStore()

config = MyConfig() 

Applying MonkeyType in a Real Application

Let’s look at a simple app to see how we can use multiple APIs provided by MonkeyType:

 # myapp.py def add(a, b):
    return a + b

def multiply(a, b):
    return a * b

if __name__ == "__main__":
    print(add(2, 3))
    print(multiply(4, 5))

# Run MonkeyType to trace the function calls monkeytype run myapp.py
# Apply the detected types monkeytype apply myapp 

After running the above commands, the functions in myapp.py will be automatically annotated with detected types.

Conclusion

Integrating MonkeyType into your development workflow can significantly improve code quality and reduce bug occurrence by ensuring that type annotations are both present and accurate.

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