def main():
if len(sys.argv) == 1:
sys.argv.append('--help')
arg_parser = argparse.ArgumentParser(
description='HanLP: Han Language Processing v{}'.format(
HANLP_JAR_VERSION))
arg_parser.add_argument('-v',
'--version',
required=False,
action='store_true',
help='show installed versions of HanLP')
task_parser = arg_parser.add_subparsers(dest="task",
help='which task to perform?')
segment_parser = task_parser.add_parser(name='segment',
help='word segmentation')
parse_parser = task_parser.add_parser(name='parse',
help='dependency parsing')
server_parser = task_parser.add_parser(
name='serve',
help='start http server',
description='A http server for HanLP')
server_parser.add_argument('--port', type=int, default=8765)
update_parser = task_parser.add_parser(name='update',
help='update jar and data of HanLP')
def add_args(p):
p.add_argument("--config",
default=PATH_CONFIG,
help='path to hanlp.properties')
# p.add_argument("--action", dest="action", default='predict',
# help='Which action (train, test, predict)?')
add_args(segment_parser)
add_args(parse_parser)
if '-v' in sys.argv or '--version' in sys.argv:
print('jar {}: {}'.format(HANLP_JAR_VERSION, HANLP_JAR_PATH))
data_version = hanlp_installed_data_version()
print('data {}: {}'.format(data_version if data_version else '自定义',
HANLP_DATA_PATH))
print('config : {}'.format(
os.path.join(STATIC_ROOT, 'hanlp.properties')))
exit(0)
args = arg_parser.parse_args()
def die(msg):
eprint(msg)
exit(1)
if hasattr(args, 'config') and args.config:
if os.path.isfile(args.config):
JClass('com.hankcs.hanlp.utility.Predefine'
).HANLP_PROPERTIES_PATH = args.config
else:
die('Can\'t find config file {}'.format(args.config))
if args.task == 'segment':
for line in sys.stdin:
line = line.strip()
print(' '.join(term.toString()
for term in HanLP.segment(any2utf8(line))))
elif args.task == 'parse':
for line in sys.stdin:
line = line.strip()
print(HanLP.parseDependency(any2utf8(line)))
elif args.task == 'serve':
if PY == 3:
from pyhanlp import server
server.run(port=args.port)
else:
die('现在server.py暂时不支持Python2，欢迎参与移植')
elif args.task == 'update':
update_hanlp()
def main():
if len(sys.argv) == 1:
sys.argv.append('--help')
arg_parser = argparse.ArgumentParser(
description='HanLP: Han Language Processing v{}'.format(
HANLP_JAR_VERSION))
arg_parser.add_argument('-v',
'--version',
required=False,
action='store_true',
help='show installed versions of HanLP')
task_parser = arg_parser.add_subparsers(dest="task",
help='which task to perform?')
segment_parser = task_parser.add_parser(name='segment',
help='word segmentation')
tag_parser = segment_parser.add_mutually_exclusive_group(required=False)
tag_parser.add_argument('--tag',
dest='tag',
action='store_true',
help='show part-of-speech tags')
tag_parser.add_argument('--no-tag',
dest='tag',
action='store_false',
help='don\'t show part-of-speech tags')
segment_parser.set_defaults(tag=True)
segment_parser.add_argument(
'-a',
'--algorithm',
type=str,
default='viterbi',
help='algorithm of segmentation e.g. perceptron')
parse_parser = task_parser.add_parser(name='parse',
help='dependency parsing')
parse_keyword = task_parser.add_parser(name='keyword',
help='dependency Keyword')
parse_summary = task_parser.add_parser(name='summary',
help='dependency summary')
server_parser = task_parser.add_parser(
name='serve',
help='start http server',
description='A http server for HanLP')
server_parser.add_argument('--port', type=int, default=8765)
update_parser = task_parser.add_parser(name='update',
help='update jar and data of HanLP')
def add_args(p):
p.add_argument("--config",
default=PATH_CONFIG,
help='path to hanlp.properties')
# p.add_argument("--action", dest="action", default='predict',
# help='Which action (train, test, predict)?')
add_args(segment_parser)
add_args(parse_parser)
add_args(parse_keyword)
add_args(parse_summary)
if '-v' in sys.argv or '--version' in sys.argv:
print('jar {}: {}'.format(HANLP_JAR_VERSION, HANLP_JAR_PATH))
data_version = hanlp_installed_data_version()
print('data {}: {}'.format(data_version if data_version else '自定义',
HANLP_DATA_PATH))
print('config : {}'.format(
os.path.join(STATIC_ROOT, 'hanlp.properties')))
exit(0)
args = arg_parser.parse_args()
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
def die(msg):
eprint(msg)
exit(1)
if hasattr(args, 'config') and args.config:
if os.path.isfile(args.config):
JClass('com.hankcs.hanlp.utility.Predefine'
).HANLP_PROPERTIES_PATH = args.config
else:
die('Can\'t find config file {}'.format(args.config))
if args.task == 'segment':
segmenter = None
try:
segmenter = HanLP.newSegment(args.algorithm)
except JException as e:
if isinstance(e, java.lang.IllegalArgumentException):
die('invalid algorithm {}'.format(args.algorithm))
elif isinstance(e, java.lang.RuntimeException):
die('failed to load required model')
else:
die('unknown exception {}'.format(repr(e)))
is_lexical_analyzer = hasattr(segmenter, 'analyze')
if not args.tag:
if is_lexical_analyzer:
segmenter.enablePartOfSpeechTagging(False)
JClass('com.hankcs.hanlp.HanLP$Config').ShowTermNature = False
else:
JClass('com.hankcs.hanlp.HanLP$Config').ShowTermNature = False
for line in sys.stdin:
line = line.strip()
print(' '.join(term.toString()
for term in segmenter.seg(any2utf8(line))))
elif args.task == 'parse':
for line in sys.stdin:
line = line.strip()
print(HanLP.parseDependency(any2utf8(line)))
elif args.task == 'keyword':
for line in sys.stdin:
line = line.strip()
TextRankKeyword = JClass(
"com.hankcs.hanlp.summary.TextRankKeyword")
keyword_list = HanLP.extractKeyword(line, 3)
print(keyword_list)
#print(HanLP.parseDependency(any2utf8(line)))
elif args.task == 'summary':
for line in sys.stdin:
line = line.strip()
TextRankSentence = JClass(
"com.hankcs.hanlp.summary.TextRankSentence")
sentence_list = HanLP.extractSummary(line, 3)
print(sentence_list)
elif args.task == 'serve':
if PY == 3:
from pyhanlp import server
server.run(port=args.port)
else:
die('现在server.py暂时不支持Python2，欢迎参与移植')
elif args.task == 'update':
if hanlp_installed_data_version() == '手动安装':
die('手动配置不支持自动升级，若要恢复自动安装，请清除HANLP相关环境变量')
else:
from pyhanlp.static import update_hanlp
update_hanlp()
