55 lines
2 KiB
Python
55 lines
2 KiB
Python
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class Terminator:
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def __init__(self):
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self.glossary_cache = {}
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def make_terms(self, entry):
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terms = []
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headwords = entry.get_headwords()
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for reading, expressions in headwords.items():
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for expression in expressions:
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definition_tags = self._definition_tags(entry)
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inflection_rules = self._inflection_rules(entry, expression)
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score = -len(terms)
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glossary = self._glossary(entry)
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sequence = self._sequence(entry)
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term_tags = ""
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term = [
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expression, reading, definition_tags, inflection_rules,
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score, glossary, sequence, term_tags
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]
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terms.append(term)
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for x in self._link_glossary_parameters(entry):
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(subentries, definition_tags) = x
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if len(subentries) == 0:
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continue
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score = -len(terms)
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glossary = self.__links_glossary(subentries)
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term = [
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expression, reading, definition_tags, inflection_rules,
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score, glossary, sequence, term_tags
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]
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terms.append(term)
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for subentries in self._subentry_lists(entry):
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for subentry in subentries:
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for term in self.make_terms(subentry):
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terms.append(term)
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return terms
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@staticmethod
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def __links_glossary(subentries):
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glossary = []
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for subentry in subentries:
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exp = subentry.get_first_expression()
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gloss = {
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"type": "structured-content",
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"content": {
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"tag": "a",
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"href": f"?query={exp}&wildcards=off",
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"content": exp,
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}
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}
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glossary.append(gloss)
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return glossary
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