def get_hotword_list():
hotword_sort = OrderedDict()
if config.analyze_lang.lower() == "all":
data_hotword = dbc.sql_select(
'select language, hotword '
'from %s '
'where scene="总计" '
'and sdk_version = "%s" '
'order by language' %
(HOTWORD_RESULT_NAME, config.new_sdk_version))
languages = []
[
languages.append(info[0]) for info in data_hotword
if info[0] not in languages
]
else:
data_hotword = dbc.sql_select(
"select hotword \
from %s \
where scene='总计' \
and language='%s' \
order by hotword" %
(HOTWORD_RESULT_NAME, config.analyze_lang.capitalize()))
languages = [config.analyze_lang.capitalize()]
for lang in languages:
for data in data_hotword:
if data[0] == lang:
hotword_sort.get(lang).append(data[1]) if hotword_sort.__contains__(lang) \
else hotword_sort.setdefault(lang, []).append(data[1])
return hotword_sort
def get_keyword_list():
keyword_sort = OrderedDict()
if config.analyze_lang.lower() == "all":
data_keyword = dbc.sql_select("select language, keyword \
from %s \
where scene=1 \
order by language" %
KEYWORD_BENCHMARK_NAME)
languages = []
[
languages.append(info[0]) for info in data_keyword
if info[0] not in languages
]
else:
data_keyword = dbc.sql_select(
"select keyword \
from %s \
where scene=1 \
and language='%s' \
order by keyword" %
(BENCHMARK_NAME, config.analyze_lang.capitalize()))
languages = [config.analyze_lang.capitalize()]
for lang in languages:
for data in data_keyword:
if data[0] == lang:
keyword_sort.get(lang).append(data[1]) if keyword_sort.__contains__(lang) \
else keyword_sort.setdefault(lang, []).append(data[1])
return keyword_sort
def get_category_lists(analyze_lang):
category_sort = OrderedDict()
if analyze_lang.lower() == "all":
data_category = dbc.sql_select("select net_status, category, language \
from %s \
where scene=1 \
order by language" % BENCHMARK_NAME)
languages = []
[
languages.append(info[2]) for info in data_category
if info[2] not in languages
]
else:
data_category = dbc.sql_select(
"select net_status, category \
from %s \
where scene=1 \
and language='%s' \
order by net_status" %
(BENCHMARK_NAME, analyze_lang.capitalize()))
languages = [analyze_lang.capitalize()]
for lang in languages:
for data in data_category:
if data[2] == lang:
if category_sort.__contains__(lang):
category_sort.get(lang).get(data[0]).append(data[1]) if category_sort.get(lang).__contains__(data[0]) \
else category_sort.get(lang).setdefault(data[0], []).append(data[1])
else:
category_sort.setdefault(lang,
{}).update({data[0]: [data[1]]})
#print(category_sort)
return category_sort
def get_keyword_target(lang, keyword):
target = dbc.sql_select('select target, number '
'from %s '
'where keyword="%s" '
'and language="%s" '
'order by scene' %
(KEYWORD_BENCHMARK_NAME, keyword, lang))
return target
def get_target(lang, net_status, category):
target = dbc.sql_select('select word, sentence, meaning, number '
'from %s '
'where category="%s" '
'and net_status="%s" '
'and language="%s" '
'order by scene' %
(BENCHMARK_NAME, category, net_status, lang))
return target
def get_hotword_data(lang, hotword, sdk_version):
try:
data = dbc.sql_select(
'select pass_rate, number '
'from %s '
'where hotword="%s" '
'and sdk_version="%s" '
'and language="%s" '
'order by scene' %
(HOTWORD_RESULT_NAME, hotword, sdk_version, lang))
return data
except pymysql.Error as e:
print(e)
def get_nlu_data(lang, net_status, category, sdk_version):
try:
nlu_data = dbc.sql_select(
'select nlu, number '
'from %s '
'where category="%s" '
'and sdk_version="%s" '
'and net_status="%s" '
'and language="%s" ' %
(NLU_RESULT_NAME, category, sdk_version, net_status, lang))
return nlu_data
except pymysql.Error as e:
print(e)
def get_sdk_data(lang, net_status, category, sdk_version):
try:
data = dbc.sql_select(
'select word, sentence, meaning, number '
'from %s '
'where category="%s" '
'and sdk_version="%s" '
'and net_status="%s" '
'and language="%s" '
'order by scene' %
(SDK_RESULT_NAME, category, sdk_version, net_status, lang))
return data
except pymysql.Error as e:
print(e)
# 计算新旧数据差值并填表
for gap in gap_slot:
excel_row_tmp[gap] = cal_gap(excel_row_tmp[gap - 1][:-1],
excel_row_tmp[gap - 2][:-1])
return excel_row_tmp
def cal_gap(data1, data2):
return "%.2f" % (float(data2) - float(data1)) + "%"
if __name__ == '__main__':
target = dbc.sql_select('select ben_word, ben_sentence, ben_meaning '
'from CNS_BENCHMARK_MAP '
'where category="Audio" '
'and net_status="Mix" '
'and language="Mandarin" '
'order by scene')
data_old = dbc.sql_select('select word, sentence, meaning, material '
'from CNS_SDK_Test '
'where category="Audio" '
'and created_at like "2020-05-22%" '
'and net_status="Mix" '
'and language="Mandarin" '
'order by scene')
data_new = dbc.sql_select('select word, sentence, meaning '
'from CNS_SDK_Test '
'where category="Audio" '
'and created_at like "2020-05-29%" '
