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114 lines
3.4 KiB
Python
114 lines
3.4 KiB
Python
from typing import Tuple, Dict, Optional
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import copy
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import numpy # type: ignore
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from .repetition import Repetition
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from .utils import vector2, rotation_matrix_2d, layer_t, AutoSlots, annotations_t
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from .traits import PositionableImpl, LayerableImpl, Copyable, Pivotable, LockableImpl, RepeatableImpl
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from .traits import AnnotatableImpl
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class Label(PositionableImpl, LayerableImpl, LockableImpl, RepeatableImpl, AnnotatableImpl,
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Pivotable, Copyable, metaclass=AutoSlots):
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"""
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A text annotation with a position and layer (but no size; it is not drawn)
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"""
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__slots__ = ( '_string', 'identifier')
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_string: str
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""" Label string """
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identifier: Tuple
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""" Arbitrary identifier tuple, useful for keeping track of history when flattening """
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'''
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---- Properties
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'''
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# string property
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@property
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def string(self) -> str:
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"""
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Label string (str)
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"""
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return self._string
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@string.setter
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def string(self, val: str):
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self._string = val
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def __init__(self,
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string: str,
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*,
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offset: vector2 = (0.0, 0.0),
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layer: layer_t = 0,
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repetition: Optional[Repetition] = None,
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annotations: Optional[annotations_t] = None,
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locked: bool = False,
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):
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LockableImpl.unlock(self)
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self.identifier = ()
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self.string = string
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self.offset = numpy.array(offset, dtype=float, copy=True)
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self.layer = layer
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self.repetition = repetition
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self.annotations = annotations if annotations is not None else {}
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self.set_locked(locked)
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def __copy__(self) -> 'Label':
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return Label(string=self.string,
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offset=self.offset.copy(),
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layer=self.layer,
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repetition=self.repetition,
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locked=self.locked)
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def __deepcopy__(self, memo: Dict = None) -> 'Label':
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memo = {} if memo is None else memo
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new = copy.copy(self).unlock()
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new._offset = self._offset.copy()
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new.set_locked(self.locked)
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return new
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def rotate_around(self, pivot: vector2, rotation: float) -> 'Label':
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"""
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Rotate the label around a point.
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Args:
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pivot: Point (x, y) to rotate around
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rotation: Angle to rotate by (counterclockwise, radians)
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Returns:
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self
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"""
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pivot = numpy.array(pivot, dtype=float)
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self.translate(-pivot)
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self.offset = numpy.dot(rotation_matrix_2d(rotation), self.offset)
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self.translate(+pivot)
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return self
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def get_bounds(self) -> numpy.ndarray:
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"""
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Return the bounds of the label.
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Labels are assumed to take up 0 area, i.e.
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bounds = [self.offset,
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self.offset]
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Returns:
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Bounds [[xmin, xmax], [ymin, ymax]]
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"""
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return numpy.array([self.offset, self.offset])
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def lock(self) -> 'Label':
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PositionableImpl._lock(self)
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LockableImpl.lock(self)
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return self
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def unlock(self) -> 'Label':
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LockableImpl.unlock(self)
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PositionableImpl._unlock(self)
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return self
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def __repr__(self) -> str:
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locked = ' L' if self.locked else ''
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return f'<Label "{self.string}" l{self.layer} o{self.offset}{locked}>'
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