Source code for enable.tools.value_drag_tool

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#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
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"""
Value Drag Tools
================

This module contains tools to handle simple dragging interactions where the
drag operation has a direct effect on some underlying value.  This can
potentially be used as the basis for many different interactions,
"""
from traits.api import (
    Any, Bool, Dict, Either, Enum, Event, Float, Set, Str, Tuple
)
from .drag_tool import DragTool

keys = {"shift", "alt", "control"}


[docs]class IdentityMapper(object):
[docs] def map_data(self, screen): return screen
[docs] def map_screen(self, data): return data
identity_mapper = IdentityMapper()
[docs]class ValueDragTool(DragTool): """ Abstract tool for modifying a value as the mouse is dragged The tool allows the use of an x_mapper and y_mapper to map between screen coordinates and more abstract data coordinates. These mappers must be objects with a map_data() method that maps a component-space coordinate to a data-space coordinate. Chaco mappers satisfy the required API, and the tool will look for 'x_mapper' and 'y_mapper' attributes on the component to use as the defaults, facilitating interoperability with Chaco plots. Failing that, a simple identity mapper is provided which does nothing. Coordinates are given relative to the component. Subclasses of this tool need to supply get_value() and set_delta() methods. The get_value method returns the current underlying value, while the set_delta method takes the current mapped x and y deltas from the original position, and sets the underlying value appropriately. The object stores the original value at the start of the operation as the original_value attribute. """ #: set of modifier keys that must be down to invoke the tool modifier_keys = Set(Enum(*keys)) #: mapper that maps from horizontal screen coordinate to data coordinate x_mapper = Any #: mapper that maps from vertical screen coordinate to data coordinate y_mapper = Any #: start point of the drag in component coordinates original_screen_point = Tuple(Float, Float) #: start point of the drag in data coordinates original_data_point = Tuple(Any, Any) #: initial underlying value original_value = Any #: new_value event for inspector overlay new_value = Event(Dict) #: visibility for inspector overlay visible = Bool(False)
[docs] def get_value(self): """ Return the current value that is being modified """ pass
[docs] def set_delta(self, value, delta_x, delta_y): """ Set the value that is being modified This function should modify the underlying value based on the provided delta_x and delta_y in data coordinates. These deltas are total displacement from the original location, not incremental. The value parameter is the original value at the point where the drag started. """ pass
# Drag tool API
[docs] def drag_start(self, event): self.original_screen_point = (event.x, event.y) data_x = self.x_mapper.map_data(event.x) data_y = self.y_mapper.map_data(event.y) self.original_data_point = (data_x, data_y) self.original_value = self.get_value() self.visible = True return True
[docs] def dragging(self, event): position = event.current_pointer_position() delta_x = ( self.x_mapper.map_data(position[0]) - self.original_data_point[0] ) delta_y = ( self.y_mapper.map_data(position[1]) - self.original_data_point[1] ) self.set_delta(self.original_value, delta_x, delta_y) return True
[docs] def drag_end(self, event): event.window.set_pointer("arrow") self.visible = False return True
def _drag_button_down(self, event): # override button down to handle modifier keys correctly if not event.handled and self._drag_state == "nondrag": key_states = dict((key, key in self.modifier_keys) for key in keys) if (not all(getattr(event, key + "_down") == state for key, state in key_states.items())): return False self.mouse_down_position = (event.x, event.y) if not self.is_draggable(*self.mouse_down_position): self._mouse_down_recieved = False return False self._mouse_down_received = True return True return False # traits default handlers def _x_mapper_default(self): # if the component has an x_mapper, try to use it by default return getattr(self.component, "x_mapper", identity_mapper) def _y_mapper_default(self): # if the component has an x_mapper, try to use it by default return getattr(self.component, "y_mapper", identity_mapper)
[docs]class AttributeDragTool(ValueDragTool): """ Tool which modifies a model's attributes as it drags This is designed to cover the simplest of drag cases where the drag is modifying one or two numerical attributes on an underlying model. To use, simply provide the model object and the attributes that you want to be changed by the drag. If only one attribute is required, the other can be left as an empty string. """ #: the model object which has the attributes we are modifying model = Any #: the name of the attributes that is modified by horizontal motion x_attr = Str #: the name of the attributes that is modified by vertical motion y_attr = Str #: max and min values for x value x_bounds = Tuple(Either(Float, Str, None), Either(Float, Str, None)) #: max and min values for y value y_bounds = Tuple(Either(Float, Str, None), Either(Float, Str, None)) x_name = Str y_name = Str # ValueDragTool API
[docs] def get_value(self): """ Get the current value of the attributes Returns a 2-tuple of (x, y) values. If either x_attr or y_attr is the empty string, then the corresponding component of the tuple is None. """ x_value = None y_value = None if self.x_attr: x_value = getattr(self.model, self.x_attr) if self.y_attr: y_value = getattr(self.model, self.y_attr) return (x_value, y_value)
[docs] def set_delta(self, value, delta_x, delta_y): """ Set the current value of the attributes Set the underlying attribute values based upon the starting value and the provided deltas. The values are simply set to the sum of the appropriate coordinate and the delta. If either x_attr or y_attr is the empty string, then the corresponding component of is ignored. Note that setting x and y are two separate operations, and so will fire two trait notification events. """ inspector_value = {} if self.x_attr: x_value = value[0] + delta_x if self.x_bounds[0] is not None: if isinstance(self.x_bounds[0], str): m = getattr(self.model, self.x_bounds[0]) else: m = self.x_bounds[0] x_value = max(x_value, m) if self.x_bounds[1] is not None: if isinstance(self.x_bounds[1], str): M = getattr(self.model, self.x_bounds[1]) else: M = self.x_bounds[1] x_value = min(x_value, M) setattr(self.model, self.x_attr, x_value) inspector_value[self.x_name] = x_value if self.y_attr: y_value = value[1] + delta_y if self.y_bounds[0] is not None: if isinstance(self.y_bounds[0], str): m = getattr(self.model, self.y_bounds[0]) else: m = self.y_bounds[0] y_value = max(y_value, m) if self.y_bounds[1] is not None: if isinstance(self.y_bounds[1], str): M = getattr(self.model, self.y_bounds[1]) else: M = self.y_bounds[1] y_value = min(y_value, M) setattr(self.model, self.y_attr, y_value) inspector_value[self.y_name] = y_value self.new_value = inspector_value
def _x_name_default(self): return self.x_attr.replace("_", " ").capitalize() def _y_name_default(self): return self.y_attr.replace("_", " ").capitalize()