98 lines
3.2 KiB
Python
98 lines
3.2 KiB
Python
import re
|
|
import math
|
|
from dataclasses import dataclass, field
|
|
|
|
import papis.config
|
|
from papis.document import Document
|
|
|
|
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"""
|
|
|
|
file: str
|
|
type: str = "Highlight"
|
|
text: str = ""
|
|
content: str = ""
|
|
page: int = 1
|
|
colors: dict = field(default_factory=lambda: {"stroke": (0.0, 0.0, 0.0)})
|
|
tag: str = ""
|
|
|
|
def format(self, formatting):
|
|
"""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.
|
|
"""
|
|
output = formatting
|
|
replacements = {
|
|
r"{quote}": self.text,
|
|
r"{note}": self.content,
|
|
r"{page}": str(self.page),
|
|
r"{newline}": "\n",
|
|
r"{tag}": self.tag,
|
|
}
|
|
pattern = re.compile(
|
|
"|".join(
|
|
[re.escape(k) for k in sorted(replacements, key=len, reverse=True)]
|
|
),
|
|
flags=re.DOTALL,
|
|
)
|
|
patt_quote_container = re.compile(r"{%quote_container(.*?)%}")
|
|
patt_note_container = re.compile(r"{%note_container(.*?)%}")
|
|
patt_tag_container = re.compile(r"{%tag_container(.*?)%}")
|
|
output = patt_quote_container.sub(r"\1" if self.text else "", output)
|
|
output = patt_note_container.sub(r"\1" if self.content else "", output)
|
|
output = patt_tag_container.sub(r"\1" if self.tag else "", output)
|
|
return pattern.sub(lambda x: replacements[x.group(0)], output)
|
|
|
|
@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.get("stroke") or self.colors.get("fill") or (0.0, 0.0, 0.0)
|
|
)
|
|
nearest = None
|
|
minimum_similarity = (
|
|
papis.config.getfloat("minimum_similarity_color", "plugins.extract")
|
|
or 1.0
|
|
)
|
|
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)
|
|
|
|
|
|
@dataclass
|
|
class AnnotatedDocument:
|
|
document: Document
|
|
annotations: list[Annotation]
|