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corenlp.py
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corenlp.py
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# _*_coding:utf-8_*_
from __future__ import print_function
import glob
import json
import logging
import os
import re
import socket
import subprocess
import sys
import time
import psutil
try:
from urlparse import urlparse
except ImportError:
from urllib.parse import urlparse
import requests
class StanfordCoreNLP:
def __init__(self, path_or_host, port=None, memory='4g', lang='en', timeout=1500, quiet=True,
logging_level=logging.WARNING, max_retries=5):
self.path_or_host = path_or_host
self.port = port
self.memory = memory
self.lang = lang
self.timeout = timeout
self.quiet = quiet
self.logging_level = logging_level
logging.basicConfig(level=self.logging_level)
# Check args
self._check_args()
if path_or_host.startswith('http'):
self.url = path_or_host + ':' + str(port)
logging.info('Using an existing server {}'.format(self.url))
else:
# Check Java
if not subprocess.call(['java', '-version'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) == 0:
raise RuntimeError('Java not found.')
# Check if the dir exists
if not os.path.isdir(self.path_or_host):
raise IOError(str(self.path_or_host) + ' is not a directory.')
directory = os.path.normpath(self.path_or_host) + os.sep
self.class_path_dir = directory
# Check if the language specific model file exists
switcher = {
'en': 'stanford-corenlp-[0-9].[0-9].[0-9]-models.jar',
'zh': 'stanford-chinese-corenlp-[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]-models.jar',
'ar': 'stanford-arabic-corenlp-[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]-models.jar',
'fr': 'stanford-french-corenlp-[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]-models.jar',
'de': 'stanford-german-corenlp-[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]-models.jar',
'es': 'stanford-spanish-corenlp-[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]-models.jar'
}
jars = {
'en': 'stanford-corenlp-x.x.x-models.jar',
'zh': 'stanford-chinese-corenlp-yyyy-MM-dd-models.jar',
'ar': 'stanford-arabic-corenlp-yyyy-MM-dd-models.jar',
'fr': 'stanford-french-corenlp-yyyy-MM-dd-models.jar',
'de': 'stanford-german-corenlp-yyyy-MM-dd-models.jar',
'es': 'stanford-spanish-corenlp-yyyy-MM-dd-models.jar'
}
if len(glob.glob(directory + switcher.get(self.lang))) <= 0:
raise IOError(jars.get(
self.lang) + ' not exists. You should download and place it in the ' + directory + ' first.')
# If port not set, auto select
if self.port is None:
for port_candidate in range(9000, 65535):
if port_candidate not in [conn.laddr[1] for conn in psutil.net_connections()]:
self.port = port_candidate
break
# Check if the port is in use
if self.port in [conn.laddr[1] for conn in psutil.net_connections()]:
raise IOError('Port ' + str(self.port) + ' is already in use.')
# Start native server
logging.info('Initializing native server...')
cmd = "java"
java_args = "-Xmx{}".format(self.memory)
java_class = "edu.stanford.nlp.pipeline.StanfordCoreNLPServer"
class_path = '"{}*"'.format(directory)
args = [cmd, java_args, '-cp', class_path, java_class, '-port', str(self.port)]
args = ' '.join(args)
logging.info(args)
# Silence
with open(os.devnull, 'w') as null_file:
out_file = None
if self.quiet:
out_file = null_file
self.p = subprocess.Popen(args, shell=True, stdout=out_file, stderr=subprocess.STDOUT)
logging.info('Server shell PID: {}'.format(self.p.pid))
self.url = 'http://localhost:' + str(self.port)
# Wait until server starts
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host_name = urlparse(self.url).hostname
time.sleep(1) # OSX, not tested
trial = 1
while sock.connect_ex((host_name, self.port)):
if trial > max_retries:
raise ValueError('Corenlp server is not available')
logging.info('Waiting until the server is available.')
trial += 1
time.sleep(1)
logging.info('The server is available.')
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
def close(self):
logging.info('Cleanup...')
if hasattr(self, 'p'):
try:
parent = psutil.Process(self.p.pid)
except psutil.NoSuchProcess:
logging.info('No process: {}'.format(self.p.pid))
return
if self.class_path_dir not in ' '.join(parent.cmdline()):
logging.info('Process not in: {}'.format(parent.cmdline()))
return
children = parent.children(recursive=True)
for process in children:
logging.info('Killing pid: {}, cmdline: {}'.format(process.pid, process.cmdline()))
# process.send_signal(signal.SIGTERM)
process.kill()
logging.info('Killing shell pid: {}, cmdline: {}'.format(parent.pid, parent.cmdline()))
# parent.send_signal(signal.SIGTERM)
parent.kill()
def annotate(self, text, properties=None):
if sys.version_info.major >= 3:
text = text.encode('utf-8')
r = requests.post(self.url, params={'properties': str(properties)}, data=text,
headers={'Connection': 'close'})
r_dict = json.loads(r.text)
return r_dict
def tregex(self, sentence, pattern):
tregex_url = self.url + '/tregex'
r_dict = self._request(tregex_url, "tokenize,ssplit,depparse,parse", sentence, pattern=pattern)
return r_dict
def tokensregex(self, sentence, pattern):
tokensregex_url = self.url + '/tokensregex'
r_dict = self._request(tokensregex_url, "tokenize,ssplit,depparse", sentence, pattern=pattern)
return r_dict
def semgrex(self, sentence, pattern):
semgrex_url = self.url + '/semgrex'
r_dict = self._request(semgrex_url, "tokenize,ssplit,depparse", sentence, pattern=pattern)
return r_dict
def word_tokenize(self, sentence, span=False):
r_dict = self._request('ssplit,tokenize', sentence)
tokens = [token['originalText'] for s in r_dict['sentences'] for token in s['tokens']]
# Whether return token span
if span:
spans = [(token['characterOffsetBegin'], token['characterOffsetEnd']) for s in r_dict['sentences'] for token
in s['tokens']]
return tokens, spans
else:
return tokens
def pos_tag(self, sentence):
r_dict = self._request(self.url, 'pos', sentence)
words = []
tags = []
for s in r_dict['sentences']:
for token in s['tokens']:
words.append(token['originalText'])
tags.append(token['pos'])
return list(zip(words, tags))
def ner(self, sentence):
r_dict = self._request(self.url, 'ner', sentence)
words = []
ner_tags = []
for s in r_dict['sentences']:
for token in s['tokens']:
words.append(token['originalText'])
ner_tags.append(token['ner'])
return list(zip(words, ner_tags))
def parse(self, sentence):
r_dict = self._request(self.url, 'pos,parse', sentence)
return [s['parse'] for s in r_dict['sentences']]
def dependency_parse(self, sentence):
r_dict = self._request(self.url, 'depparse', sentence)
return [(dep['dep'], dep['governor'], dep['dependent']) for s in r_dict['sentences'] for dep in
s['basicDependencies']]
def coref(self, text):
r_dict = self._request('coref', text)
corefs = []
for k, mentions in r_dict['corefs'].items():
simplified_mentions = []
for m in mentions:
simplified_mentions.append((m['sentNum'], m['startIndex'], m['endIndex'], m['text']))
corefs.append(simplified_mentions)
return corefs
def switch_language(self, language="en"):
self._check_language(language)
self.lang = language
def request(self, annotators=None, data=None, *args, **kwargs):
if sys.version_info.major >= 3:
data = data.encode('utf-8')
properties = {'annotators': annotators, 'outputFormat': 'json'}
params = {'properties': str(properties), 'pipelineLanguage': self.lang, 'parse.kbest': 3}
if 'pattern' in kwargs:
params = {"pattern": kwargs['pattern'], 'properties': str(properties), 'pipelineLanguage': self.lang}
logging.info(params)
r = requests.post(self.url, params=params, data=data, headers={'Connection': 'close'})
r_dict = json.loads(r.text)
return r_dict
# def request(self, annotators=None, data=None, *args, **kwargs):
# # if sys.version_info.major >= 3:
# data = data.encode('utf-8')
#
# properties = {'annotators': annotators, 'outputFormat': 'json'}
# params = {'properties': str(properties), 'pipelineLanguage': self.lang,
# 'parse.model': 'edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz',
# 'parse.kbest': 3}
# if 'pattern' in kwargs:
# params = {"pattern": kwargs['pattern'], 'properties': str(properties), 'pipelineLanguage': self.lang}
#
# logging.info(params)
# r = requests.post(self.url, params=params, data=data, headers={'Connection': 'close'})
# r_dict = json.loads(r.text)
#
# return r_dict
def _check_args(self):
self._check_language(self.lang)
if not re.match('\dg', self.memory):
raise ValueError('memory=' + self.memory + ' not supported. Use 4g, 6g, 8g and etc. ')
def _check_language(self, lang):
if lang not in ['en', 'zh', 'ar', 'fr', 'de', 'es']:
raise ValueError('lang=' + self.lang + ' not supported. Use English(en), Chinese(zh), Arabic(ar), '
'French(fr), German(de), Spanish(es).')