An extension for nvim-dap providing default configurations for python and methods to debug individual test methods or classes.
- Requires Neovim >= 0.5
- Requires nvim-dap
- Requires debugpy
- Install like any other neovim plugin:
- If using vim-plug:
Plug 'mfussenegger/nvim-dap-python'
- If using packer.nvim:
use 'mfussenegger/nvim-dap-python'
- If using vim-plug:
If you want to use the test runner functionality, it additionally requires a tree sitter parser for Python.
Options to install debugpy:
- Via a system package manager. For example:
pacman -S python-debugpy
- Via
pip
in avenv
:
mkdir ~/.virtualenvs
cd ~/.virtualenvs
python -m venv debugpy
debugpy/bin/python -m pip install debugpy
Note that the virutalenv used for the debugpy
can be independent from any
virtualenv you're using in your projects.
nvim-dap-python
tries to detect your project venv
and should recognize any
dependencies your project has. See Python dependencies and
virtualenv
- Implicit via uv
See Usage: You need to use require("dap-python").setup("uv")
To install the python tree-sitter parser you can either:
- Use
:TSInstall python
from nvim-treesitter - Compile the parser from tree-sitter-python and copy it into
.config/nvim/parser/
:git clone https://github.com/tree-sitter/tree-sitter-python.git
cd tree-sitter-python
cc -O2 -o ~/.config/nvim/parser/python}.so -I./src src/parser.c src/scanner.cc -shared -Os -lstdc++ -fPIC
-
Call
setup
in yourinit.lua
to register the adapter and configurations.If installed in a virtual environment:
require("dap-python").setup("/path/to/venv/bin/python") -- If using the above, then `/path/to/venv/bin/python -m debugpy --version` -- must work in the shell
If installed globally:
require("dap-python").setup("python3") -- If using the above, then `python3 -m debugpy --version` -- must work in the shell
If using uv:
require("dap-python").setup("uv")
-
Use
nvim-dap
as usual.- Call
:lua require('dap').continue()
to start debugging. - See
:help dap-mappings
and:help dap-api
. - Use
:lua require('dap-python').test_method()
to debug the closest method above the cursor.
Supported test frameworks are
unittest
,pytest
anddjango
. By default it tries to detect the runner by probing for presence ofpytest.ini
ormanage.py
, or for atool.pytest
directive insidepyproject.toml
, if none are present it defaults tounittest
.To configure a different runner, change the
test_runner
variable. For example, to configurepytest
set the test runner like this in yourinit.lua
:require('dap-python').test_runner = 'pytest'
You can also add custom runners. An example in
Lua
:local test_runners = require('dap-python').test_runners -- `test_runners` is a table. The keys are the runner names like `unittest` or `pytest`. -- The value is a function that takes two arguments: -- The classnames and a methodname -- The function must return a module name and the arguments passed to the module as list. ---@param classnames string[] ---@param methodname string? test_runners.your_runner = function(classnames, methodname) local path = table.concat({ table.concat(classnames, ":"), methodname, }, "::") return 'modulename', {"-s", path} end
- Call
See :help dap-python
nnoremap <silent> <leader>dn :lua require('dap-python').test_method()<CR>
nnoremap <silent> <leader>df :lua require('dap-python').test_class()<CR>
vnoremap <silent> <leader>ds <ESC>:lua require('dap-python').debug_selection()<CR>
If you call the require('dap-python').setup
method it will create a few
nvim-dap
configuration entries. These configurations are general purpose
configurations suitable for many use cases, but you may need to customize the
configurations - for example if you want to use Docker containers.
To add your own entries you can create per project .vscode/launch.json
configuration files. See :help dap-launch.json
.
Or you can add your own global entries by extending the
dap.configurations.python
list after calling the setup
function:
require('dap-python').setup('/path/to/python')
table.insert(require('dap').configurations.python, {
type = 'python',
request = 'launch',
name = 'My custom launch configuration',
program = '${file}',
-- ... more options, see https://github.com/microsoft/debugpy/wiki/Debug-configuration-settings
})
The Debugpy Wiki contains a list of all supported configuration options.
nvim-dap-python
by default tries to detect a virtual environment and uses it
when debugging your application. It looks for:
- The environment variables
VIRTUAL_ENV
andCONDA_PREFIX
- The folders
venv
,.venv
,env
,.env
relative to either the current working directory or theroot_dir
of a active language server client. See:h lsp.txt
for more information about the latter.
If you're using another way to manage virtual environments, you can set a
custom resolve_python
function:
require('dap-python').resolve_python = function()
return '/absolute/path/to/python'
end
Or explicitly set the pythonPath
property within your debugpy/nvim-dap
configurations. See :h dap-configuration
and Launch/Attach
Settings
A test runner building upon vim-test with nvim-dap support. Aims to work for all python runners.
- Generate docs using vimcats:
vimcats -f -t lua/dap-python.lua > doc/dap-python.txt