def _readWord(word, words, db_con):
(word, meaning, kana, syntax_class, dialect, decorations, syllables) = lookup.readWord(word, words, db_con)[0]
if syntax_class > 0:
l_decorations = decorations
if l_decorations:
l_decorations = [d for d in decorations if d]
if l_decorations or dialect % 50 == lookup.DIALECT['New Testament of Pastalie']:
reason = ["'", word, "'",]
if l_decorations and not dialect % 50 == lookup.DIALECT['New Testament of Pastalie']:
reason += [" (carried markup: ", l_decorations, ")",]
raise ContentError("Only Central Standard Note and related dialects are Binasphere-supported (offending word: %(reason)s)" % {
'reason': ''.join(reason)
})
return (word, syntax_class, dialect, syllables)
def applyPersistentEmotionSounds(lines, db_con):
m = _PERSISTANT_START_REGEXP.match(lines[0])
if not _PERSISTANT_END_REGEXP.match(lines[-1]):
if not m:
raise FormatError("Persistant syntax not detected")
else:
raise ContentError("Persistent Emotion Sounds terminator not found")
elif not m:
raise ContentError("Persistent Emotion Sounds initiator not found")
lookup.initialiseEmotionVerbRegexps(db_con)
new_lines = []
processed = []
unknown_set = set()
es_i = None
es_ii = None
es_iii = None
es_i_values = lookup.SYNTAX_CLASS_REV['ES(I)']
words = lookup.readWord(m.group(1).lower(), None, db_con)
for (word, meaning, kana, syntax_class, dialect, decorations, syllables) in words:
if syntax_class in es_i_values:
es_i = word
break
if not es_i:
es_i = m.group(1).title()
unknown.add(es_i)
es_ii_values = lookup.SYNTAX_CLASS_REV['ES(II)']
words = lookup.readWord(m.group(2).lower(), None, db_con)
for (word, meaning, kana, syntax_class, dialect, decorations, syllables) in words:
if syntax_class in es_ii_values:
es_ii = word
break
if not es_ii:
es_ii = m.group(2).lower()
unknown.add(es_ii)
es_iii_values = lookup.SYNTAX_CLASS_REV['ES(III)']
words = lookup.readWord(m.group(3).lower(), None, db_con)
for (word, meaning, kana, syntax_class, dialect, decorations, syllables) in words:
if syntax_class in es_iii_values:
es_iii = word
break
if not es_iii:
es_iii = m.group(3).title()
unknown.add(es_iii)
for line in lines[1:-1]:
if not _GENERAL_CONTENT_REGEXP.match(line):
raise ContentError("Non-Hymmnos content provided")
(line, processed_lines, unknown) = _applyPersistentEmotionSounds(es_i, es_ii, es_iii, line.split(), db_con)
new_lines.append(line)
processed.append(processed_lines)
unknown_set.update(unknown)
return (
["%(es_i)s %(es_ii)s %(es_iii)s 0x vvi." % {
'es_i': es_i,
'es_ii': es_ii,
'es_iii': es_iii,
}] + new_lines + lines[-1:],
processed,
sorted(unknown_set)
)
