145 lines
4.7 KiB
Python
145 lines
4.7 KiB
Python
import math
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from dataclasses import dataclass
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from typing import Any, Optional, cast
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import chevron
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import papis.config
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from papis.document import Document
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TEXT_SIMILARITY_MINIMUM = 0.75
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COLOR_SIMILARITY_MINIMUM = 0.833
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COLORS: dict[str, tuple[float, float, float]] = {
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"blue": (0, 0, 1),
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"green": (0, 1, 0),
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"red": (1, 0, 0),
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"cyan": (0, 1, 1),
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"yellow": (1, 1, 0),
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"magenta": (1, 0, 1),
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"purple": (0.5, 0, 0.5),
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"pink": (1, 0.75, 0.8),
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"orange": (1, 0.65, 0),
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}
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@dataclass
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class Annotation:
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"""A PDF annotation object.
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Contains all information necessary for the annotation itself, content and metadata.
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"""
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def __init__(
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self,
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file: str,
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color: tuple[float, float, float] = (0.0, 0.0, 0.0),
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content: str = "",
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note: str = "",
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page: int = 0,
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tag: str = "",
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type: str = "Highlight",
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minimum_similarity_color: float = 1.0,
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) -> None:
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self.minimum_similarity_color = minimum_similarity_color
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self.file = file
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self._color = color
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self.content = content
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self.note = note
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self.page = page
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self.tag = tag or self._tag_from_colorname(self.colorname or "")
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self.type = type
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def format(self, formatting: str, doc: Document = Document()):
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"""Return a formatted string of the annotation.
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Given a provided formatting pattern, this method returns the annotation
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formatted with the correct marker replacements and removals, ready
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for display or writing.
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"""
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data = {
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"file": self.file,
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"quote": self.content,
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"note": self.note,
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"page": self.page,
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"tag": self.tag,
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"type": self.type,
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"doc": doc,
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}
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return chevron.render(formatting, data)
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@property
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def color(self):
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return self._color
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@color.setter
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def color(self, value: tuple[float, float, float]):
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self._color = value
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self.tag = self._tag_from_colorname(self.colorname or "")
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@property
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def colorname(self):
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"""Return the stringified version of the annotation color.
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Finds the closest named color to the annotation and returns it,
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using euclidian distance between the two color vectors.
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"""
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annot_colors = self.color or (0.0, 0.0, 0.0)
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nearest = None
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minimum_similarity = (
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papis.config.getfloat("minimum_similarity_color", "plugins.extract") or 1.0
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)
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minimum_similarity = self.minimum_similarity_color
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for name, values in COLORS.items():
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similarity_ratio = self._color_similarity_ratio(values, annot_colors)
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if similarity_ratio >= minimum_similarity:
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minimum_similarity = similarity_ratio
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nearest = name
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return nearest
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def _color_similarity_ratio(
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self,
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color_one: tuple[float, float, float],
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color_two: tuple[float, float, float],
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) -> float:
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"""Return the similarity of two colors between 0 and 1.
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Takes two rgb color tuples made of floats between 0 and 1,
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e.g. (1, 0.65, 0) for orange, and returns the similarity
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between them, with 1 being the same color and 0 being the
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difference between full black and full white, as a float.
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"""
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return 1 - (abs(math.dist([*color_one], [*color_two])) / 3)
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def _tag_from_colorname(self, colorname: str) -> str:
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color_mapping: dict[str, str] = self._getdict("tags", "plugins.extract")
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if not color_mapping:
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return ""
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return color_mapping.get(colorname, "")
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# mimics the functions in papis.config.{getlist,getint,getfloat} etc.
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def _getdict(self, key: str, section: Optional[str] = None) -> dict[str, str]:
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"""Dict getter
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:returns: A python dict
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:raises SyntaxError: Whenever the parsed syntax is either not a valid
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python object or a valid python dict.
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"""
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rawvalue: Any = papis.config.general_get(key, section=section)
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if isinstance(rawvalue, dict):
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return cast(dict[str, str], rawvalue)
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try:
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rawvalue = eval(rawvalue)
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except Exception:
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raise SyntaxError(
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"The key '{}' must be a valid Python object: {}".format(key, rawvalue)
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)
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else:
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if not isinstance(rawvalue, dict):
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raise SyntaxError(
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"The key '{}' must be a valid Python dict. Got: {} (type {!r})".format(
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key, rawvalue, type(rawvalue).__name__
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)
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)
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return cast(dict[str, str], rawvalue)
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