reapy

reapy is a nice pythonic wrapper around the quite unpythonic ReaScript Python API for REAPER.

Contents

1. Installation
2. Usage
   • ReaScript API
   • reapy API
   • Performance
   • More
3. Contributing
4. Author
5. License

Installation

1. First install from pip:

pip install python-reapy

2. Run:

python -m reapy

Paths to your Python DLL and to reapy configuration scripts get printed.

3. If you haven't enabled Python in REAPER yet, go to Options > Preferences... > Plug-ins > ReaScript. Check Enable Python for use with ReaScript, and fill Custom path to Python dll directory and Force ReaScript to use specific Python .dll with the directory path and the file name of the Python DLL.

4. Enable reapy dist API by running the corresponding ReaScript (Actions > Show action list > Reascript : Load... and browse for the script path).

You're all set! You can now import reapy from inside or outside REAPER as any standard Python module.

Instead of creating a new ReaScript containing:

from reaper_python import *
RPR_ShowConsoleMsg("Hello world!")

you can open your usual Python shell and type:

>>> import reapy
>>> reapy.print("Hello world!")

Usage

ReaScript API

All ReaScript API functions are available in reapy in the sub-module reapy.reascript_api. Note that in ReaScript Python API, all function names start with "RPR_". That unnecessary pseudo-namespace has been removed in reapy. Thus, you shall call reapy.reascript_api.GetCursorPosition in order to trigger reaper_python.RPR_GetCursorPosition. See example below.

>>> from reapy import reascript_api as RPR
>>> RPR.GetCursorPosition()
0.0
>>> RPR.SetEditCurPos(1, True, True)
>>> RPR.GetCursorPosition()
1.0

reapy API

The purpose of reapy is to provide a more pythonic API as a substitute for ReaScript API. Below is the reapy way of executing the example above.

>>> import reapy
>>> project = reapy.Project() # Current project
>>> project.cursor_position
0.0
>>> project.cursor_position = 1
>>> project.cursor_position
1.0

The translation table matches ReaScript functions with their reapy counterparts.

Performance

When used from inside REAPER, reapy has almost identical performance than native ReaScript API. Yet when it is used from the outside, the performance is quite worse. More precisely, since external API calls are processed in a defer loop inside REAPER, there can only be around 30 to 60 of them per second. In a time-critical context, you should make use of the reapy.inside_reaper context manager.

>>> import reapy
>>> project = reapy.Project() # Current project
>>> # Unefficient (and useless) call
>>> bpms = [project.bpm for _ in range(1000)] # Takes at least 30 seconds...
>>> # Efficient call
>>> with reapy.inside_reaper():
...     bpms = [project.bpm for _ in range(1000)]
...
>>> # Takes only 0.1 second!

More

Check the documentation and especially the API guide for more information.

Contributing

For now, about a third of ReaScript API has a reapy counterpart, the docs are far from great, and many bugs are waiting to be found. Feel free to improve the project by checking the contribution guide!

Author

Roméo Després - RomeoDespres

License

This project is licensed under the MIT License - see the LICENSE.txt file for details.