papis-extract/papis_extract/annotation.py
Marty Oehme 11d570f9d8
refactor: Rename annotation content variables
Renamed the two variables describing an annotation's highlighted PDF-text and
its appended note if any exists. Previously called 'text' (for the in-PDF
highlighted content) and 'content' (for the additional supplied content).

Now they are called 'content' for the IN PDF words, highlighted.
and 'note' for the appended note given (or not) in an annotation.
2024-01-23 09:54:36 +01:00

83 lines
2.6 KiB
Python

import math
from dataclasses import dataclass, field
import papis.config
from papis.document import Document
import chevron
TEXT_SIMILARITY_MINIMUM = 0.75
COLOR_SIMILARITY_MINIMUM = 0.833
COLORS = {
"red": (1, 0, 0),
"green": (0, 1, 0),
"blue": (0, 0, 1),
"yellow": (1, 1, 0),
"purple": (0.5, 0, 0.5),
"orange": (1, 0.65, 0),
}
@dataclass
class Annotation:
"""A PDF annotation object.
Contains all information necessary for the annotation itself, content and metadata.
"""
file: str
colors: tuple[float, float, float] = field(default_factory=lambda: (0.0, 0.0, 0.0))
content: str = ""
note: str = ""
page: int = 0
tag: str = ""
type: str = "Highlight"
minimum_similarity_color: float = 1.0
def format(self, formatting: str, doc: Document = Document()):
"""Return a formatted string of the annotation.
Given a provided formatting pattern, this method returns the annotation
formatted with the correct marker replacements and removals, ready
for display or writing.
"""
data = {
"file": self.file,
"quote": self.content,
"note": self.note,
"page": self.page,
"tag": self.tag,
"type": self.type,
"doc": doc,
}
return chevron.render(formatting, data)
@property
def colorname(self):
"""Return the stringified version of the annotation color.
Finds the closest named color to the annotation and returns it,
using euclidian distance between the two color vectors.
"""
annot_colors = self.colors or (0.0, 0.0, 0.0)
nearest = None
minimum_similarity = (
papis.config.getfloat("minimum_similarity_color", "plugins.extract") or 1.0
)
minimum_similarity = self.minimum_similarity_color
for name, values in COLORS.items():
similarity_ratio = self._color_similarity_ratio(values, annot_colors)
if similarity_ratio >= minimum_similarity:
minimum_similarity = similarity_ratio
nearest = name
return nearest
def _color_similarity_ratio(self, color_one, color_two):
"""Return the similarity of two colors between 0 and 1.
Takes two rgb color tuples made of floats between 0 and 1,
e.g. (1, 0.65, 0) for orange, and returns the similarity
between them, with 1 being the same color and 0 being the
difference between full black and full white, as a float.
"""
return 1 - (abs(math.dist([*color_one], [*color_two])) / 3)