Contributions Reference#
Contributions are a set of static declarations that you make in the
contributions
field of the Plugin Manifest. Your extension registers
Contributions to extend various functionalities within napari.
Here is a list of all available Contributions:
You may add as many contributions as you’d like to a single manifest. For clarity, the following examples include only the specific contribution that is being discussed.
contributions.commands
#
Contribute a command (a python callable) consisting of a unique id
,
a title
and (optionally) a python_path
that points to a fully qualified python
callable. If a python_path
is not included in the manifest, it must be
registered during activation with register_command
.
Note, some other contributions (e.g. readers
, writers
and widgets
) will
point to a specific command. The command itself (i.e. the callable python
object) will always appear in the contributions.commands
section, but those
contribution types may add additional contribution-specific metadata.
Future Plans
Command contributions will eventually include an icon, category, and
enabled state. Enablement is expressed with when clauses, that capture a
conditional expression determining whether the command should be enabled or not,
based on the current state of the program. (i.e. “If the active layer is a
Labels
layer”)
Commands will eventually be availble in a Command Palette (accessible with a hotkey) but they can also show in other menus.
Fields
commands.id
: A unique identifier used to reference this command. While this may look like a python fully qualified name this does not refer to a python object; this identifier is specific to napari. It must begin with the name of the package, and include only alphanumeric characters, plus dashes and underscores.commands.title
: User facing title representing the command. This might be used, for example, when searching in a command palette. Examples: ‘Generate lily sample’, ‘Read tiff image’, ‘Open gaussian blur widget’.commands.python_name
: (Optional: default=None). Fully qualified name to a callable python object implementing this command. This usually takes the form of{obj.__module__}:{obj.__qualname__}
(e.g.my_package.a_module:some_function
)commands.short_title
: (Optional: default=None). Short title by which the command is represented in the UI. Menus pick eithertitle
orshort_title
depending on the context in which they show commands.commands.category
: (Optional: default=None). Category string by which the command may be grouped in the UI.commands.icon
: (Optional: default=None). Icon used to represent this command in the UI, on buttons or in menus. These may be superqt fonticon keys, such as'fa6s.arrow_down'
; though note that plugins are expected to depend on any fonticon libraries they use, e.g fonticon-fontawesome6.commands.enablement
: (Optional: default=None). Expression which must evaluate as true to enable the command in the UI (menu and keybindings). Does not prevent executing the command by other means, like theexecute_command
api.
Commands example#
contributions:
commands:
- id: example-plugin.hello_world
title: Hello World
[contributions]
commands = [
{ id = "example-plugin.hello_world", title = "Hello World" },
]
contributions.readers
#
Contribute a file reader.
Readers may be associated with specific filename_patterns (e.g. “.tif”,
“.zip”) and are invoked whenever viewer.open('some/path')
is used on the
command line, or when a user opens a file in the graphical user interface by
dropping a file into the canvas, or using File -> Open...
See the Readers Guide for more details on implementing this contribution.
Fields
readers.command
: Identifier of the command providingnapari_get_reader
.readers.filename_patterns
: List of filename patterns (for fnmatch) that this reader can accept. Reader will be tried only iffnmatch(filename, pattern) == True
. Use['*']
to match all filenames.readers.accepts_directories
: (Optional: default=False). Whether this reader accepts directories
Readers example#
contributions:
commands:
- id: example-plugin.read_xyz
title: Read ".xyz" files
python_name: example_plugin.some_module:get_reader
readers:
- command: example-plugin.read_xyz
filename_patterns:
- '*.xyz'
accepts_directories: false
[[contributions.commands]]
id = "example-plugin.read_xyz"
title = "Read \".xyz\" files"
python_name = "example_plugin.some_module:get_reader"
[[contributions.readers]]
command = "example-plugin.read_xyz"
filename_patterns = [
"*.xyz",
]
accepts_directories = false
contributions.writers
#
Contribute a layer writer.
Writers accept data from one or more layers and write them to file. Writers declare
support for writing one or more layer_types, may be associated with specific
filename_patterns (e.g. “*.tif”, “*.zip”) and are invoked whenever
viewer.layers.save('some/path.ext')
is used on the command line, or when a user
requests to save one or more layers in the graphical user interface with File -> Save Selected Layer(s)...
or Save All Layers...
See the Writers Guide for more details on implementing this contribution.
Fields
writers.command
: Identifier of the command providing a writer.writers.layer_types
: List of layer type constraints. These determine what layers (or combinations thereof) this writer handles.writers.filename_extensions
: (Optional: default=None). List of filename extensions compatible with this writer. The first entry is used as the default if necessary. Empty by default. When empty, any filename extension is accepted.writers.display_name
: (Optional: default=). Brief text used to describe this writer when presented. Empty by default. When present, this string is presented in the save dialog along side the plugin name and may be used to distinguish the kind of writer for the user. E.g. “lossy” or “lossless”.
Writers example#
contributions:
commands:
- id: example-plugin.write_points
title: Save points layer to csv
python_name: example_plugin.some_module:write_points
writers:
- command: example-plugin.write_points
layer_types:
- points
filename_extensions:
- .csv
[[contributions.commands]]
id = "example-plugin.write_points"
title = "Save points layer to csv"
python_name = "example_plugin.some_module:write_points"
[[contributions.writers]]
command = "example-plugin.write_points"
layer_types = [
"points",
]
filename_extensions = [
".csv",
]
contributions.widgets
#
Contribute a widget that can be added to the napari viewer.
Widget contributions point to a command that, when called, returns a widget
instance; this includes functions that return a widget instance, (e.g. those
decorated with magicgui.magic_factory
) and subclasses of either
QtWidgets.QWidget
or
magicgui.widgets.Widget
.
Optionally, autogenerate may be used to create a widget (using
magicgui) from a command. (In this case, the
command needn’t return a widget instance; it can be any function suitable as an
argument to magicgui.magicgui()
.)
See the Widgets Guide for more details on implementing this contribution.
Fields
widgets.command
: Identifier of a command that returns a widget instance. Or, ifautogenerate
isTrue
, any command suitable as an argument tomagicgui.magicgui()
.widgets.display_name
: Name for the widget, as presented in the UI.widgets.autogenerate
: (Optional: default=False). If true, a widget will be autogenerated from the signature of the associated command using magicgui.
Widgets example#
contributions:
commands:
- id: example-plugin.my_widget
title: Open my widget
python_name: example_plugin.some_module:MyWidget
- id: example-plugin.threshold_widget
title: Make threshold widget with magic_factory
python_name: example_plugin.some_module:widget_factory
- id: example-plugin.do_threshold
title: Perform threshold on image, return new image
python_name: example_plugin.some_module:threshold
widgets:
- command: example-plugin.my_widget
display_name: Wizard
- command: example-plugin.threshold_widget
display_name: Threshold
- command: example-plugin.do_threshold
display_name: Threshold
autogenerate: true
[contributions]
widgets = [
{ command = "example-plugin.my_widget", display_name = "Wizard" },
{ command = "example-plugin.threshold_widget", display_name = "Threshold" },
{ command = "example-plugin.do_threshold", display_name = "Threshold", autogenerate = true },
]
[[contributions.commands]]
id = "example-plugin.my_widget"
title = "Open my widget"
python_name = "example_plugin.some_module:MyWidget"
[[contributions.commands]]
id = "example-plugin.threshold_widget"
title = "Make threshold widget with magic_factory"
python_name = "example_plugin.some_module:widget_factory"
[[contributions.commands]]
id = "example-plugin.do_threshold"
title = "Perform threshold on image, return new image"
python_name = "example_plugin.some_module:threshold"
contributions.sample_data
#
Tip
This contribution accepts 2 schema types
1. Sample Data Function#
Contribute a callable command that creates data on demand.
See the Sample Data Guide for more details on implementing this contribution.
Fields
sample_data.command
: Identifier of a command that returns layer data tuple.sample_data.key
: A unique key to identify this sample.sample_data.display_name
: String to show in the UI when referring to this sample
2. Sample Data URI#
Contribute a URI to static local or remote data. This can be data included in the plugin package, or a URL to remote data. The URI must be readable by either napari’s builtin reader, or by a plugin that is included/required.
See the Sample Data Guide for more details on implementing this contribution.
Fields
sample_data.key
: A unique key to identify this sample.sample_data.display_name
: String to show in the UI when referring to this samplesample_data.uri
: Path or URL to a data resource. This URI should be a valid input toio_utils.read
sample_data.reader_plugin
: (Optional: default=None). Name of plugin to use to open URI
Sample Data example#
contributions:
commands:
- id: example-plugin.data.fractal
title: Create fractal image
python_name: example_plugin.some_module:create_fractal
sample_data:
- command: example-plugin.data.fractal
key: fractal
display_name: Fractal
- key: napari
display_name: Tabueran Kiribati
uri: https://en.wikipedia.org/wiki/Napari#/media/File:Tabuaeran_Kiribati.jpg
[[contributions.commands]]
id = "example-plugin.data.fractal"
title = "Create fractal image"
python_name = "example_plugin.some_module:create_fractal"
[[contributions.sample_data]]
command = "example-plugin.data.fractal"
key = "fractal"
display_name = "Fractal"
[[contributions.sample_data]]
key = "napari"
display_name = "Tabueran Kiribati"
uri = "https://en.wikipedia.org/wiki/Napari#/media/File:Tabuaeran_Kiribati.jpg"
contributions.themes
#
Contribute a color theme to napari.
You must specify an id, label, and whether the theme is a dark theme or a light theme type (such that the rest of napari changes to match your theme). Any color keys omitted from the theme contribution will use the default napari dark/light theme colors.
Fields
themes.id
: Identifier of the color theme as used in the user settings.themes.label
: Label of the color theme as shown in the UI.themes.type
: Base theme type, used for icons and filling in unprovided colors. Must be either'dark'
or'light'
.themes.syntax_style
: (Optional: default=None).themes.colors
: Theme colors. Valid keys include:canvas
,console
,background
,foreground
,primary
,secondary
,highlight
,text
,icon
,warning
,current
. All keys are optional. Color values can be defined via:name:
"Black"
,"azure"
hexadecimal value:
"0x000"
,"#FFFFFF"
,"7fffd4"
RGB/RGBA tuples:
(255, 255, 255)
,(255, 255, 255, 0.5)
RGB/RGBA strings:
"rgb(255, 255, 255)"
,"rgba(255, 255, 255, 0.5)
”HSL strings: “
hsl(270, 60%, 70%)"
,"hsl(270, 60%, 70%, .5)
”
themes.font_size
: (Optional: default=9pt). Font size (in points, pt) used in the application.
Themes example#
contributions:
themes:
- id: monokai
label: Monokai
type: dark
syntax_style: monokai
colors:
canvas: black
console: black
background: '#272822'
foreground: '#75715e'
primary: '#cfcfc2'
secondary: '#f8f8f2'
highlight: '#e6db74'
text: '#a1ef34'
icon: '#a1ef34'
warning: '#f92672'
current: '#66d9ef'
[[contributions.themes]]
id = "monokai"
label = "Monokai"
type = "dark"
syntax_style = "monokai"
[contributions.themes.colors]
canvas = "black"
console = "black"
background = "#272822"
foreground = "#75715e"
primary = "#cfcfc2"
secondary = "#f8f8f2"
highlight = "#e6db74"
text = "#a1ef34"
icon = "#a1ef34"
warning = "#f92672"
current = "#66d9ef"