def get_matching_colophon_lines(
self, query: TransliterationQuery
) -> Mapping[int, Sequence[TextLine]]:
text_lines = self.text_lines
return pydash.omit_by(
{
self.manuscripts[index].id: [
line.line
for start, end in numbers
for line in text_lines[index][start : end + 1]
if line.source is None
]
for index, numbers in enumerate(self._match(query))
},
pydash.is_empty,
)
def test_omit_by(case, expected):
assert _.omit_by(*case) == expected
def filter_none(self, data, **kwargs):
return pydash.omit_by(data, pydash.is_none)
def dump_token(self, data, **kwargs):
return pydash.omit_by(data, lambda value: value is None)
def test_create_response_dto(user):
lemmatized_fragment = LemmatizedFragmentFactory.build(
joins=Joins(((JoinFactory.build(), ), )))
has_photo = True
assert create_response_dto(
lemmatized_fragment, user, has_photo) == pydash.omit_by(
{
"museumNumber":
attr.asdict(lemmatized_fragment.number),
"accession":
lemmatized_fragment.accession,
"cdliNumber":
lemmatized_fragment.cdli_number,
"bmIdNumber":
lemmatized_fragment.bm_id_number,
"publication":
lemmatized_fragment.publication,
"description":
lemmatized_fragment.description,
"joins":
JoinsSchema().dump(lemmatized_fragment.joins)["fragments"],
"length":
attr.asdict(lemmatized_fragment.length,
filter=lambda _, value: value is not None),
"width":
attr.asdict(lemmatized_fragment.width,
filter=lambda _, value: value is not None),
"thickness":
attr.asdict(lemmatized_fragment.thickness,
filter=lambda _, value: value is not None),
"collection":
lemmatized_fragment.collection,
"script":
lemmatized_fragment.script,
"notes":
lemmatized_fragment.notes,
"museum":
lemmatized_fragment.museum,
"signs":
lemmatized_fragment.signs,
"record": [{
"user": entry.user,
"type": entry.type.value,
"date": entry.date
} for entry in lemmatized_fragment.record.entries],
"folios": [
attr.asdict(folio) for folio in
lemmatized_fragment.folios.filter(user).entries
],
"text":
TextSchema().dump(lemmatized_fragment.text),
"references": [{
"id": reference.id,
"type": reference.type.name,
"pages": reference.pages,
"notes": reference.notes,
"linesCited": list(reference.lines_cited),
} for reference in lemmatized_fragment.references],
"uncuratedReferences": ([
attr.asdict(reference)
for reference in lemmatized_fragment.uncurated_references
] if lemmatized_fragment.uncurated_references is not None else
None),
"atf":
lemmatized_fragment.text.atf,
"hasPhoto":
has_photo,
"genres": [{
"category": genre.category,
"uncertain": genre.uncertain
} for genre in lemmatized_fragment.genres],
"lineToVec": [[
line_to_vec_encoding.value
for line_to_vec_encoding in line_to_vec_encodings
] for line_to_vec_encodings in lemmatized_fragment.line_to_vec
],
},
pydash.is_none,
)