def col_defs(self):
poscol = Col(self, 'part_of_speech', model_col=Word.pos)
if self.contribution:
pos = sorted((c for c, in DBSession.query(Word.pos)
.filter(Word.dictionary_pk == self.contribution.pk)
.distinct() if c))
res = [
FtsCol(self, 'fts', sTitle='full entry', model_col=Word.fts),
WordCol(self, 'word', sTitle='headword', model_col=common.Unit.name),
Col(self,
'part_of_speech',
sTitle='part of speech',
model_col=Word.pos,
choices=pos,
format=lambda i: HTML.span(i.pos or '', class_='vocabulary')),
MeaningDescriptionCol2(self,
'description',
sTitle='meaning description',
model_col=common.Unit.description),
]
if self.second_tab:
for name in self.vars:
res.append(CustomCol(self, name, sTitle=name.replace('lang-', '')))
return res
else:
res.append(Col(self,
'examples',
input_size='mini',
model_col=Word.example_count))
if self.contribution.semantic_domains:
res.append(SemanticDomainCol(self, 'semantic_domain', split(self.contribution.semantic_domains)))
if self.contribution.count_audio:
res.append(MediaCol(self, 'audio', 'audio', sTitle=''))
if self.contribution.count_image:
res.append(ThumbnailCol(self, 'image', sTitle=''))
#res.append(MediaCol(self, 'image', 'image', sTitle=''))
for name in self.vars:
col = CustomCol(self, name, sTitle=name.replace('lang-', ''))
if name in self.contribution.jsondata['choices']:
col.choices = self.contribution.jsondata['choices'][name]
res.append(col)
return res
return [
WordCol(self, 'word'),
poscol,
Col(self, 'description'),
MeaningsCol(self, 'meaning', bSortable=False, sTitle='Comparison meaning'),
DictionaryCol(self, 'dictionary'),
]
def col_defs(self):
poscol = Col(self, 'part_of_speech', model_col=Word.pos)
if self.contribution:
pos = sorted((c for c, in DBSession.query(Word.pos)
.filter(Word.dictionary_pk == self.contribution.pk)
.distinct() if c))
res = [
FtsCol(self, 'fts', sTitle='full entry', model_col=Word.fts),
WordCol(self, 'word', sTitle='headword', model_col=common.Unit.name),
Col(self,
'part_of_speech',
sTitle='part of speech',
model_col=Word.pos,
choices=pos,
format=lambda i: HTML.span(i.pos or '', class_='vocabulary')),
Col(self,
'description',
sTitle='meaning description',
model_col=common.Unit.description),
Col(self,
'examples',
input_size='mini',
model_col=Word.example_count),
]
if self.second_tab:
for name in self.vars:
res.append(CustomCol(self, name, sTitle=name.replace('lang-', '')))
return res
if self.contribution.semantic_domains:
res.append(SemanticDomainCol(self, 'semantic_domain', split(self.contribution.semantic_domains)))
if self.contribution.count_audio:
res.append(MediaCol(self, 'audio', 'audio', sTitle=''))
if self.contribution.count_image:
res.append(ThumbnailCol(self, 'image', sTitle=''))
#res.append(MediaCol(self, 'image', 'image', sTitle=''))
for name in self.vars:
col = CustomCol(self, name, sTitle=name.replace('lang-', ''))
if name in self.contribution.jsondata['choices']:
col.choices = self.contribution.jsondata['choices'][name]
res.append(col)
return res
return [
WordCol(self, 'word'),
poscol,
Col(self, 'description'),
MeaningsCol(self, 'meaning', bSortable=False, sTitle='Comparison meaning'),
DictionaryCol(self, 'dictionary'),
]
def semantic_domain_list(self):
if self.semantic_domain:
return split(self.semantic_domain)
return []
def reverse_list(self):
return split(self.reverse or '')
def comparison_meanings_list(self):
return split(self.comparison_meanings)
def description_list(self):
return split(self.description)
def semantic_domain_list(self):
if self.semantic_domain:
return split(self.semantic_domain)
return []
def reverse_list(self):
return split(self.reverse or '')
def comparison_meanings_list(self):
return split(self.comparison_meanings)
def description_list(self):
return split(self.description)