➡️ dinglehopper: Move ExtractedText to its own file

qurator/dinglehopper/character_error_rate.py

@@ -7,7 +7,8 @@ from multimethod import multimethod
 from uniseg.graphemecluster import grapheme_clusters
 
 from qurator.dinglehopper.edit_distance import distance
-from qurator.dinglehopper.ocr_files import ExtractedText
+from qurator.dinglehopper.extracted_text import ExtractedText
+
 
 @multimethod
 def character_error_rate_n(reference: str, compared: str) -> Tuple[float, int]:

qurator/dinglehopper/cli.py

@@ -6,6 +6,7 @@ from markupsafe import escape
 
 
 from qurator.dinglehopper import *
+from qurator.dinglehopper import ExtractedText
 
 
 def gen_diff_report(gt_in, ocr_in, css_prefix, joiner, none):

qurator/dinglehopper/edit_distance.py

@@ -8,7 +8,8 @@ import numpy as np
 from multimethod import multimethod
 from uniseg.graphemecluster import grapheme_clusters
 
-from .ocr_files import ExtractedText
+from . import ExtractedText
+
 
 def levenshtein_matrix(seq1: Sequence, seq2: Sequence):
     """Compute the matrix commonly computed to produce the Levenshtein distance.

qurator/dinglehopper/extracted_text.py

@@ -0,0 +1,118 @@
+import enum
+import re
+import unicodedata
+from contextlib import suppress
+from itertools import repeat
+from typing import Optional
+
+import attr
+
+from .substitute_equivalences import substitute_equivalences
+
+
+class Normalization(enum.Enum):
+    NFC = 1
+    NFC_MUFI = 2  # TODO
+    NFC_SBB = 3
+
+
+def normalize(text, normalization):
+    if normalization == Normalization.NFC:
+        return unicodedata.normalize('NFC', text)
+    if normalization == Normalization.NFC_MUFI:
+        raise NotImplementedError()
+    if normalization == Normalization.NFC_SBB:
+        return substitute_equivalences(text)
+    else:
+        raise ValueError()
+
+
+# XXX hack
+def normalize_sbb(t):
+    return normalize(t, Normalization.NFC_SBB)
+
+
+@attr.s(frozen=True)
+class ExtractedText:
+    """
+    Extracted text
+
+    Objects of this class are guaranteed to be a. always in their normalization and
+    b. in NFC.
+    """
+    segment_id = attr.ib(type=Optional[str])
+
+    @segment_id.validator
+    def check(self, _, value):
+        if value is None:
+            return
+        if not re.match(r'[\w\d_-]+', value):
+            raise ValueError('Malformed segment id "{}"'.format(value))
+
+    # An object contains either
+    # a. _text itself
+    # b. or segments (ExtractedText) and a joiner
+
+    segments = attr.ib(type=Optional[list], converter=attr.converters.optional(list))
+    joiner = attr.ib(type=Optional[str])
+    _text = attr.ib(type=Optional[str])
+
+    @segments.validator
+    def check(self, _, value):
+        if value is not None and self._text is not None:
+            raise ValueError("Can't have both segments and text")
+
+    @_text.validator
+    def check(self, _, value):
+        if value is not None and self.segments is not None:
+            raise ValueError("Can't have both segments and text")
+        if value is not None and unicodedata.normalize('NFC', value) != value:
+            raise ValueError('String "{}" is not in NFC.'.format(value))
+        if value is not None and normalize(value, self.normalization) != value:
+            raise ValueError('String "{}" is not normalized.'.format(value))
+
+    normalization = attr.ib(converter=Normalization, default=Normalization.NFC_SBB)
+
+    @property
+    def text(self):
+        if self._text is not None:
+            if self._text == '':
+                return None
+            else:
+                return self._text
+        else:
+            return self.joiner.join(s.text for s in self.segments)
+
+    _segment_id_for_pos = None
+
+    def segment_id_for_pos(self, pos):
+        # Calculate segment ids once, on the first call
+        if not self._segment_id_for_pos:
+            segment_id_for_pos = []
+            for s in self.segments:
+                segment_id_for_pos.extend(repeat(s.segment_id, len(s.text)))
+                segment_id_for_pos.extend(repeat(None, len(self.joiner)))
+            segment_id_for_pos = segment_id_for_pos[:-len(self.joiner)]
+            # This is frozen, so we have to jump through the hoop:
+            object.__setattr__(self, '_segment_id_for_pos', segment_id_for_pos)
+            assert self._segment_id_for_pos
+
+        return self._segment_id_for_pos[pos]
+
+    @classmethod
+    def from_text_segment(cls, text_segment, nsmap):
+        """Build an ExtractedText from a PAGE content text element"""
+
+        segment_id = text_segment.attrib['id']
+        segment_text = None
+        with suppress(AttributeError):
+            segment_text = text_segment.find('./page:TextEquiv/page:Unicode', namespaces=nsmap).text
+            segment_text = segment_text or ''
+            segment_text = normalize_sbb(segment_text)  # FIXME hardcoded SBB normalization
+        segment_text = segment_text or ''
+        return cls(segment_id, None, None, segment_text)
+
+    @classmethod
+    def from_str(cls, text, normalization=Normalization.NFC_SBB):
+        normalized_text = normalize(text, normalization)
+        return cls(None, None, None, normalized_text, normalization=normalization)

qurator/dinglehopper/ocr_files.py

@@ -1,126 +1,13 @@
 from __future__ import division, print_function
 
-from typing import Optional, Generator
+from typing import Generator
 from warnings import warn
+import sys
 
 from lxml import etree as ET
 from lxml.etree import XMLSyntaxError
-from contextlib import suppress
-from itertools import repeat
-from .substitute_equivalences import substitute_equivalences
-import sys
-import attr
-import enum
-import unicodedata
-import re
-
-
-class Normalization(enum.Enum):
-    NFC = 1
-    NFC_MUFI = 2  # TODO
-    NFC_SBB = 3
-
-
-@attr.s(frozen=True)
-class ExtractedText:
-    """
-    Extracted text
-
-    Objects of this class are guaranteed to be a. always in their normalization and
-    b. in NFC.
-    """
-    segment_id = attr.ib(type=Optional[str])
-
-    @segment_id.validator
-    def check(self, _, value):
-        if value is None:
-            return
-        if not re.match(r'[\w\d_-]+', value):
-            raise ValueError('Malformed segment id "{}"'.format(value))
-
-    # An object contains either
-    # a. _text itself
-    # b. or segments (ExtractedText) and a joiner
-
-    segments = attr.ib(type=Optional[list], converter=attr.converters.optional(list))
-    joiner = attr.ib(type=Optional[str])
-    _text = attr.ib(type=Optional[str])
-
-    @segments.validator
-    def check(self, _, value):
-        if value is not None and self._text is not None:
-            raise ValueError("Can't have both segments and text")
-
-    @_text.validator
-    def check(self, _, value):
-        if value is not None and self.segments is not None:
-            raise ValueError("Can't have both segments and text")
-        if value is not None and unicodedata.normalize('NFC', value) != value:
-            raise ValueError('String "{}" is not in NFC.'.format(value))
-        if value is not None and normalize(value, self.normalization) != value:
-            raise ValueError('String "{}" is not normalized.'.format(value))
-
-    normalization = attr.ib(converter=Normalization, default=Normalization.NFC_SBB)
-
-    @property
-    def text(self):
-        if self._text is not None:
-            if self._text == '':
-                return None
-            else:
-                return self._text
-        else:
-            return self.joiner.join(s.text for s in self.segments)
-
-    _segment_id_for_pos = None
-
-    def segment_id_for_pos(self, pos):
-        # Calculate segment ids once, on the first call
-        if not self._segment_id_for_pos:
-            segment_id_for_pos = []
-            for s in self.segments:
-                segment_id_for_pos.extend(repeat(s.segment_id, len(s.text)))
-                segment_id_for_pos.extend(repeat(None, len(self.joiner)))
-            segment_id_for_pos = segment_id_for_pos[:-len(self.joiner)]
-            # This is frozen, so we have to jump through the hoop:
-            object.__setattr__(self, '_segment_id_for_pos', segment_id_for_pos)
-            assert self._segment_id_for_pos
-
-        return self._segment_id_for_pos[pos]
-
-    @classmethod
-    def from_text_segment(cls, text_segment, nsmap):
-        """Build an ExtractedText from a PAGE content text element"""
-
-        segment_id = text_segment.attrib['id']
-        segment_text = None
-        with suppress(AttributeError):
-            segment_text = text_segment.find('./page:TextEquiv/page:Unicode', namespaces=nsmap).text
-            segment_text = segment_text or ''
-            segment_text = normalize_sbb(segment_text)  # FIXME hardcoded SBB normalization
-        segment_text = segment_text or ''
-        return cls(segment_id, None, None, segment_text)
-
-    @classmethod
-    def from_str(cls, text, normalization=Normalization.NFC_SBB):
-        normalized_text = normalize(text, normalization)
-        return cls(None, None, None, normalized_text, normalization=normalization)
-
-
-def normalize(text, normalization):
-    if normalization == Normalization.NFC:
-        return unicodedata.normalize('NFC', text)
-    if normalization == Normalization.NFC_MUFI:
-        raise NotImplementedError()
-    if normalization == Normalization.NFC_SBB:
-        return substitute_equivalences(text)
-    else:
-        raise ValueError()
-
 
-# XXX hack
+from .extracted_text import ExtractedText, normalize_sbb
-def normalize_sbb(t):
-    return normalize(t, Normalization.NFC_SBB)
 
 
 def alto_namespace(tree: ET.ElementTree) -> str:
@@ -192,7 +79,7 @@ def page_extract(tree):
             regions.append(ExtractedText.from_text_segment(region, nsmap))
 
     # Filter empty region texts
-    regions = (r for r in regions if r.text is not None)
+    regions = [r for r in regions if r.text is not None]
 
     return ExtractedText(None, regions, '\n', None)
 

qurator/dinglehopper/word_error_rate.py

@@ -7,7 +7,7 @@ from multimethod import multimethod
 import uniseg.wordbreak
 
 from .edit_distance import levenshtein
-from .ocr_files import ExtractedText
+from . import ExtractedText
 
 
 @multimethod