sutime

Python wrapper for Stanford CoreNLP's SUTime Java library dc

Build Status

Introduction

This library provides a simple access to SUTime functions in Python.

Installation

>> pip install sutime
>> # use package pom.xml to install all Java dependencies via Maven into ./jars
>> mvn dependency:copy-dependencies -DoutputDirectory=./jars

Example

import os
import json
from sutime import SUTime

if __name__ == '__main__':
    test_case = u'I need a desk for tomorrow from 2pm to 3pm'
    
    jar_files = os.path.join(os.path.dirname(__file__), 'jars')
    sutime = SUTime(jars=jar_files, mark_time_ranges=True)

    print(json.dumps(sutime.parse(test_case), sort_keys=True, indent=4))

Result:

[
    {
        "end": 26,
        "start": 18,
        "text": "tomorrow",
        "type": "DATE",
        "value": "2016-10-14"
    },
    {
        "end": 42,
        "start": 27,
        "text": "from 2pm to 3pm",
        "type": "DURATION",
        "value": {
            "begin": "T14:00",
            "end": "T15:00"
        }
    }
]

Other examples can be found in the test directory.

Functions

SUTime(jars=[], jvm_started=False, mark_time_ranges=False, include_range=False)
    """
    jars: List of paths to the SUTime Java dependencies.
    jvm_started: Optional attribute to specify if the JVM has already been
        started (with all Java dependencies loaded).
    mark_time_ranges: Optional attribute to specify CoreNLP property
        sutime.markTimeRanges. Default is False.
        "Tells sutime to mark phrases such as 'From January to March'
        instead of marking 'January' and 'March' separately"
    include_range: Optional attribute to specify CoreNLP property
        sutime.includeRange. Default is False.
        "Tells sutime to mark phrases such as 'From January to March'
        instead of marking 'January' and 'March' separately"
    """

sutime.parse(input_str):
    """Parses datetime information out of string input.

    It invokes the SUTimeWrapper.annotate() function in Java.

    Args:
        input_str: The input as string that has to be parsed.

    Returns:
        A list of dicts with the result from the SUTimeWrapper.annotate()
            call.

    Raises:
        RuntimeError: An error occurres when CoreNLP is not loaded.
    """

Future Work

• fixing all upcoming bug reports and issues.

Credit

• The team behind Stanford CoreNLP for their awesome work and tools for the NLP community
• Luis Nell (Github: originell) and team for maintaining JPype as interface between Python and Java

License

• GPLv3+ (check the LICENSE file)