def _create_lang_script_to_names(lang_script_data):
"""Generate a map from lang-script to English (and possibly native) names.
Whether the script is included in the name depends on the number of used and unused scripts.
If there's one used script, that script is omitted.
Else if there's no used script and one unused script, that script is omitted.
Else the script is included.
If there's no English name for the lang_script, it is excluded."""
lang_to_names = {}
for lang in lang_script_data:
used, unused = lang_script_data[lang]
if len(used) == 1:
exclude_script = iter(used).next()
elif not used and len(unused) == 1:
exclude_script = iter(unused).next()
else:
exclude_script = ''
for script in (used | unused):
lang_script = lang + '-' + script
target = lang if script == exclude_script else lang_script
# special case, not generally useful
if target.startswith('und-'):
en_name = cldr_data.get_english_script_name(target[4:]) + ' script'
else:
en_name = cldr_data.get_english_language_name(target)
if not en_name:
print '!No english name for %s' % lang_script
continue
native_name = cldr_data.get_native_language_name(lang_script, exclude_script)
if native_name == en_name:
native_name = None
lang_to_names[lang_script] = [en_name, native_name] if native_name else [en_name]
return lang_to_names
def _create_lang_script_to_names(lang_script_data):
"""Generate a map from lang-script to English (and possibly native) names.
Whether the script is included in the name depends on the number of used
and unused scripts. If there's one used script, that script is omitted.
Else if there's no used script and one unused script, that script is
omitted. Else the script is included. If there's no English name for
the lang_script, it is excluded.
"""
lang_to_names = {}
for lang in lang_script_data:
used, unused = lang_script_data[lang]
if len(used) == 1:
exclude_script = iter(used).next()
elif not used and len(unused) == 1:
exclude_script = iter(unused).next()
else:
exclude_script = ''
for script in (used | unused):
lang_script = lang + '-' + script
target = lang if script == exclude_script else lang_script
# special case, not generally useful
if target.startswith('und-'):
en_name = cldr_data.get_english_script_name(
target[4:]) + ' script'
else:
en_name = cldr_data.get_english_language_name(target)
if not en_name:
# Easier than patching the cldr_data, not sure I want to go there.
if lang_script == 'tlh-Piqd':
en_name = u'Klingon'
else:
_log('No english name for %s' % lang_script)
continue
native_name = cldr_data.get_native_language_name(
lang_script, exclude_script)
if native_name == en_name:
native_name = None
lang_to_names[lang_script] = ([en_name, native_name]
if native_name else [en_name])
return lang_to_names
def build_data_json(self, families, family_zip_info, universal_zip_info,
family_id_to_lang_tags, family_id_to_regions,
lang_tag_to_family_ids, region_to_family_ids):
data_obj = collections.OrderedDict()
families_obj = collections.OrderedDict()
# Sort families by English name, except 'Noto Sans' and 'Noto Serif' come first
family_ids = [family_id for family_id in families if family_id != 'sans' and family_id != 'serif']
family_ids = sorted(family_ids, key=lambda f: families[f].name)
sorted_ids = ['sans', 'serif']
sorted_ids.extend(family_ids)
for k in sorted_ids:
family = families[k]
family_obj = {}
family_obj['name'] = family.name
name, hinted_size, unhinted_size = family_zip_info[k]
pkg_obj = collections.OrderedDict()
if hinted_size:
pkg_obj['hinted'] = hinted_size
if unhinted_size:
pkg_obj['unhinted'] = unhinted_size
family_obj['pkgSize'] = pkg_obj
family_obj['fonts'] = len(family.hinted_members or family.unhinted_members)
family_obj['langs'] = len(family_id_to_lang_tags[k])
family_obj['regions'] = len(family_id_to_regions[k])
families_obj[k] = family_obj
data_obj['family'] = families_obj
data_obj['familyOrder'] = sorted_ids
langs_obj = collections.OrderedDict()
# Dont list 'und-' lang tags, these are for default samples and not listed in the UI
lang_tags = [lang for lang in lang_tag_to_family_ids if not lang.startswith('und-')]
lang_tags = sorted(lang_tags, key=lambda l: cldr_data.get_english_language_name(l))
for lang in lang_tags:
lang_obj = collections.OrderedDict()
english_name = cldr_data.get_english_language_name(lang)
lang_obj['name'] = english_name
lang_obj['families'] = sorted(lang_tag_to_family_ids[lang])
native_name = cldr_data.get_native_language_name(lang)
if native_name and native_name != english_name:
lang_obj['keywords'] = [native_name]
langs_obj[lang] = lang_obj
data_obj['lang'] = langs_obj
regions_obj = collections.OrderedDict()
for region in sorted(region_to_family_ids,
key=lambda r: cldr_data.get_english_region_name(r)):
region_obj = collections.OrderedDict()
region_obj['families'] = sorted(region_to_family_ids[region])
region_obj['keywords'] = [cldr_data.get_english_region_name(region)]
regions_obj[region] = region_obj
data_obj['region'] = regions_obj
pkg_obj = collections.OrderedDict()
pkg_obj['hinted'] = universal_zip_info[1]
pkg_obj['unhinted'] = universal_zip_info[2]
data_obj['pkgSize'] = pkg_obj
self.write_json(data_obj, 'data')
def build_data_json(self, families, family_zip_info, universal_zip_info,
family_id_to_lang_tags, family_id_to_regions,
lang_tag_to_family_ids, region_to_family_ids):
data_obj = collections.OrderedDict()
families_obj = collections.OrderedDict()
# Sort families by English name, except 'Noto Sans' and 'Noto Serif' come first
family_ids = [
family_id for family_id in families
if family_id != 'sans' and family_id != 'serif'
]
family_ids = sorted(family_ids, key=lambda f: families[f].name)
sorted_ids = ['sans', 'serif']
sorted_ids.extend(family_ids)
for k in sorted_ids:
family = families[k]
family_obj = {}
family_obj['name'] = family.name
name, hinted_size, unhinted_size = family_zip_info[k]
pkg_obj = collections.OrderedDict()
if hinted_size:
pkg_obj['hinted'] = hinted_size
if unhinted_size:
pkg_obj['unhinted'] = unhinted_size
family_obj['pkgSize'] = pkg_obj
family_obj['fonts'] = len(family.hinted_members
or family.unhinted_members)
family_obj['langs'] = len(family_id_to_lang_tags[k])
family_obj['regions'] = len(family_id_to_regions[k])
families_obj[k] = family_obj
data_obj['family'] = families_obj
data_obj['familyOrder'] = sorted_ids
langs_obj = collections.OrderedDict()
# Dont list 'und-' lang tags, these are for default samples and not listed in the UI
lang_tags = [
lang for lang in lang_tag_to_family_ids
if not lang.startswith('und-')
]
lang_tags = sorted(
lang_tags, key=lambda l: cldr_data.get_english_language_name(l))
for lang in lang_tags:
lang_obj = collections.OrderedDict()
english_name = cldr_data.get_english_language_name(lang)
lang_obj['name'] = english_name
lang_obj['families'] = sorted(lang_tag_to_family_ids[lang])
native_name = cldr_data.get_native_language_name(lang)
if native_name and native_name != english_name:
lang_obj['keywords'] = [native_name]
langs_obj[lang] = lang_obj
data_obj['lang'] = langs_obj
regions_obj = collections.OrderedDict()
for region in sorted(
region_to_family_ids,
key=lambda r: cldr_data.get_english_region_name(r)):
region_obj = collections.OrderedDict()
region_obj['families'] = sorted(region_to_family_ids[region])
region_obj['keywords'] = [
cldr_data.get_english_region_name(region)
]
regions_obj[region] = region_obj
data_obj['region'] = regions_obj
pkg_obj = collections.OrderedDict()
pkg_obj['hinted'] = universal_zip_info[1]
pkg_obj['unhinted'] = universal_zip_info[2]
data_obj['pkgSize'] = pkg_obj
self.write_json(data_obj, 'data')
