def build_data_json(self, family_id_to_lang_scr_to_sample_key,
families, family_zip_info, universal_zip_info,
family_id_to_regions, 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 family_id_to_lang_scr_to_sample_key
if family_id != 'sans-lgc' and family_id != 'serif-lgc']
family_ids = sorted(family_ids, key=lambda f: families[f].name)
sorted_ids = ['sans-lgc', 'serif-lgc']
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
# special case number of fonts for CJK
if family.rep_member.is_cjk:
num_fonts = 7 #ignore mono
else:
num_fonts = len(family.hinted_members or family.unhinted_members)
family_obj['fonts'] = num_fonts
# only displayed langs -- see build_family_json lang_scrs
lang_scrs_map = family_id_to_lang_scr_to_sample_key[k]
family_obj['langs'] = sum([1 for l in lang_scrs_map if not l.startswith('und-')])
family_obj['regions'] = len(family_id_to_regions[k])
families_obj[k] = family_obj
data_obj['family'] = families_obj
data_obj['familyOrder'] = sorted_ids
# get inverse map from lang_scr to family_id
lang_scr_to_family_ids = collections.defaultdict(set)
for family_id, lang_scrs in family_id_to_lang_scr_to_sample_key.iteritems():
for lang_scr in lang_scrs:
lang_scr_to_family_ids[lang_scr].add(family_id)
# Dont list 'und-' lang tags, these are for default samples and not listed in the UI
lang_scrs = [l for l in lang_scr_to_family_ids if not l.startswith('und-')]
langs_obj = collections.OrderedDict()
# sort by english name
for lang_scr in sorted(lang_scrs,
key=lambda l: lang_data.lang_script_to_names(l)[0]):
lang_obj = collections.OrderedDict()
names = lang_data.lang_script_to_names(lang_scr)
english_name = names[0]
lang_obj['name'] = english_name
if cldr_data.is_rtl(lang_scr):
lang_obj['rtl'] = True
lang_obj['families'] = sorted(lang_scr_to_family_ids[lang_scr])
native_names = [n for n in names[1:] if n != english_name]
if native_names:
lang_obj['keywords'] = native_names
langs_obj[lang_scr] = 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')
def build_data_json(self, family_id_to_lang_scr_to_sample_key,
families, family_zip_info, universal_zip_info,
family_id_to_regions, region_to_family_ids):
data_obj = collections.OrderedDict()
families_obj = collections.OrderedDict()
# Sort families by English name, except 'Noto Sans', 'Noto Serif', and
# 'Noto Mono' come first, in that order
initial_ids = ['sans-lgc', 'serif-lgc', 'mono-mono']
family_ids = [family_id for family_id
in family_id_to_lang_scr_to_sample_key
if family_id not in initial_ids]
family_ids = sorted(family_ids, key=lambda f: families[f].name)
sorted_ids = [fid for fid in initial_ids
if fid in family_id_to_lang_scr_to_sample_key]
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
# special case number of fonts for CJK
if family.rep_member.is_cjk:
num_fonts = 7 #ignore mono
else:
num_fonts = len(family.hinted_members or family.unhinted_members)
family_obj['fonts'] = num_fonts
# only displayed langs -- see build_family_json lang_scrs
lang_scrs_map = family_id_to_lang_scr_to_sample_key[k]
family_obj['langs'] = sum(
[1 for l in lang_scrs_map if not l.startswith('und-')])
family_obj['regions'] = len(family_id_to_regions[k])
families_obj[k] = family_obj
data_obj['family'] = families_obj
data_obj['familyOrder'] = sorted_ids
# get inverse map from lang_scr to family_id
lang_scr_to_family_ids = collections.defaultdict(set)
for family_id, lang_scrs in family_id_to_lang_scr_to_sample_key.iteritems():
for lang_scr in lang_scrs:
lang_scr_to_family_ids[lang_scr].add(family_id)
# Dont list 'und-' lang tags, these are for default samples and not
# listed in the UI
lang_scrs = [l for l in lang_scr_to_family_ids if not l.startswith('und-')]
langs_obj = collections.OrderedDict()
# sort by english name
for lang_scr in sorted(lang_scrs,
key=lambda l: lang_data.lang_script_to_names(l)[0]):
lang_obj = collections.OrderedDict()
names = lang_data.lang_script_to_names(lang_scr)
english_name = names[0]
lang_obj['name'] = english_name
if cldr_data.is_rtl(lang_scr):
lang_obj['rtl'] = True
lang_obj['families'] = sorted(lang_scr_to_family_ids[lang_scr])
native_names = [n for n in names[1:] if n != english_name]
if native_names:
lang_obj['keywords'] = native_names
langs_obj[lang_scr] = 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')