def convert_stores(input_store, template_store, tm=None, min_similarity=75, fuzzymatching=True, **kwargs):
"""Actual conversion function, works on stores not files, returns
a properly initialized pretranslated output store, with structure
based on input_store, metadata based on template_store, migrates
old translations from template_store and pretranslating from tm"""
#prepare for merging
output_store = type(input_store)()
#create fuzzy matchers to be used by pretranslate.pretranslate_unit
matchers = []
_prepare_merge(input_store, output_store, template_store)
if fuzzymatching:
if template_store:
matcher = match.matcher(template_store, max_candidates=1, min_similarity=min_similarity, max_length=3000, usefuzzy=True)
matcher.addpercentage = False
matchers.append(matcher)
if tm:
matcher = pretranslate.memory(tm, max_candidates=1, min_similarity=min_similarity, max_length=1000)
matcher.addpercentage = False
matchers.append(matcher)
#initialize store
_store_pre_merge(input_store, output_store, template_store)
# Do matching
for input_unit in input_store.units:
if input_unit.istranslatable():
input_unit = pretranslate.pretranslate_unit(input_unit, template_store, matchers, mark_reused=True)
_unit_post_merge(input_unit, input_store, output_store, template_store)
output_store.addunit(input_unit)
#finalize store
_store_post_merge(input_store, output_store, template_store)
return output_store
def convert_stores(input_store,
template_store,
temp_store=None,
tm=None,
min_similarity=75,
fuzzymatching=True,
**kwargs):
"""Actual conversion function, works on stores not files, returns
a properly initialized pretranslated output store, with structure
based on input_store, metadata based on template_store, migrates
old translations from template_store and pretranslating from TM.
"""
if temp_store is None:
temp_store = input_store
# Create fuzzy matchers to be used by pretranslate.pretranslate_unit
matchers = []
_prepare_merge(input_store, temp_store, template_store)
if fuzzymatching:
if template_store:
matcher = match.matcher(
template_store,
max_candidates=1,
min_similarity=min_similarity,
max_length=3000,
usefuzzy=True,
)
matcher.addpercentage = False
matchers.append(matcher)
if tm:
matcher = pretranslate.memory(tm,
max_candidates=1,
min_similarity=min_similarity,
max_length=1000)
matcher.addpercentage = False
matchers.append(matcher)
# initialize store
_store_pre_merge(input_store, temp_store, template_store)
# Do matching
for input_unit in temp_store.units:
if input_unit.istranslatable():
input_unit = pretranslate.pretranslate_unit(
input_unit,
template_store,
matchers,
mark_reused=True,
merge_on=input_store.merge_on,
)
_unit_post_merge(input_unit, input_store, temp_store,
template_store)
# finalize store
_store_post_merge(input_store, temp_store, template_store)
return temp_store
def convert_stores(input_store, template_store, temp_store=None, tm=None, min_similarity=75, fuzzymatching=True, **kwargs):
"""Actual conversion function, works on stores not files, returns
a properly initialized pretranslated output store, with structure
based on input_store, metadata based on template_store, migrates
old translations from template_store and pretranslating from tm"""
if temp_store is None:
temp_store = input_store
#create fuzzy matchers to be used by pretranslate.pretranslate_unit
matchers = []
_prepare_merge(input_store, temp_store, template_store)
if fuzzymatching:
if template_store:
matcher = match.matcher(template_store, max_candidates=1, min_similarity=min_similarity, max_length=3000, usefuzzy=True)
matcher.addpercentage = False
matchers.append(matcher)
if tm:
matcher = pretranslate.memory(tm, max_candidates=1, min_similarity=min_similarity, max_length=1000)
matcher.addpercentage = False
matchers.append(matcher)
#initialize store
_store_pre_merge(input_store, temp_store, template_store)
# Do matching
match_locations = isinstance(input_store, po.pofile) and input_store.parseheader().get('X-Accelerator-Marker') in ('&', '~')
for input_unit in temp_store.units:
if input_unit.istranslatable():
input_unit = pretranslate.pretranslate_unit(input_unit, template_store, matchers, mark_reused=True, match_locations=match_locations)
_unit_post_merge(input_unit, input_store, temp_store, template_store)
#finalize store
_store_post_merge(input_store, temp_store, template_store)
return temp_store
