added setup.py and made library available regardless of current working directory

corenlp.py

@@ -69,10 +69,15 @@ def parse_parser_results(text):
     interface of the CoreNLP tools.  Takes a string of the parser results
     and then returns a Python list of dictionaries, one for each parsed
     sentence.
+
+    Parameters
+    ----------
+    text : str
+        UTF-8 encoded string of CoreNLP parser results
     """
     results = {"sentences": []}
     state = STATE_START
-    for line in text.encode('utf-8').split("\n"):
+    for line in text.split("\n"):
         line = line.strip()
 
         if line.startswith("Sentence #"):
@@ -132,25 +137,26 @@ def __init__(self, corenlp_path=None):
         Checks the location of the jar files.
         Spawns the server as a process.
         """
+        here = os.path.abspath(os.path.dirname(__file__))
         jars = ["stanford-corenlp-3.4.1.jar",
                 "stanford-corenlp-3.4.1-models.jar",
                 "joda-time.jar",
                 "xom.jar",
                 "jollyday.jar"]
-       
+
         # if CoreNLP libraries are in a different directory,
         # change the corenlp_path variable to point to them
         if not corenlp_path:
-            corenlp_path = "./stanford-corenlp-full-2014-08-27/"
-        
+            corenlp_path = os.path.join(here, "stanford-corenlp-full-2014-08-27")
+
         java_path = "java"
         classname = "edu.stanford.nlp.pipeline.StanfordCoreNLP"
         # include the properties file, so you can change defaults
         # but any changes in output format will break parse_parser_results()
-        props = "-props default.properties" 
-        
+        props = "-props {}".format(os.path.join(here, 'default.properties'))
+
         # add and check classpaths
-        jars = [corenlp_path + jar for jar in jars]
+        jars = [os.path.join(corenlp_path, jar) for jar in jars]
         for jar in jars:
             if not os.path.exists(jar):
                 logger.error("Error! Cannot locate %s" % jar)

setup.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python
+
+import sys
+import os
+try:
+    from setuptools import setup
+except ImportError:
+    from distutils.core import setup
+
+here = os.path.abspath(os.path.dirname(__file__))
+README = open(os.path.join(here, 'README.md')).read()
+
+setup(name='corenlp',
+version='3.4.1',
+description='Python wrapper for Stanford CoreNLP tools v3.4.1',
+long_description=README,
+author='Dustin Smith',
+author_email='[email protected]',
+url='https://github.com/dasmith/stanford-corenlp-python',
+py_modules=['client', 'corenlp', 'jsonrpc', 'progressbar'],
+license='GPL v2+',
+install_requires=['pexpect', 'unidecode'],
+data_files=[
+    ('.', ['default.properties']),
+    ('stanford-corenlp-full-2014-08-27',
+     ['stanford-corenlp-full-2014-08-27/stanford-corenlp-3.4.1.jar',
+      'stanford-corenlp-full-2014-08-27/stanford-corenlp-3.4.1.jar',
+      'stanford-corenlp-full-2014-08-27/stanford-corenlp-3.4.1-models.jar',
+      'stanford-corenlp-full-2014-08-27/joda-time.jar',
+      'stanford-corenlp-full-2014-08-27/xom.jar',
+      'stanford-corenlp-full-2014-08-27/jollyday.jar'
+     ])
+],
+)