Metadata-Version: 2.1
Name: DANE
Version: 0.2.7
Summary: Utils for working with the Distributed Annotation and Enrichment system.
Home-page: https://github.com/CLARIAH/DANE
Author: Nanne van Noord
Author-email: n.j.e.vannoord@uva.nl
License: Apache License 2.0
Description: # DANE
        The Distributed Annotation 'n' Enrichment (DANE) system handles compute task assignment and file storage for the automatic annotation of content.
        
        This repository contains contains the building blocks for with DANE, such as creating custom analysis workers or submitting new task.
        
        ## Installation
        
        This package can be installed through pip:
        
            pip install DANE
        
        ### Configuration
        
        DANE components are configured through the DANE.config module, which is described here: https://dane.readthedocs.io/en/latest/intro.html#configuration 
        It is however noteable that, because all DANE components are expected to rely on it, some of the DANE-server, ElasticSearch and RabbitMQ configuration 
        are included in the default config. As such it is recommended that you create a `$HOME/.dane/config.yml` or `$DANE_HOME/config.yml` which contain machine-wide settings for how to connect to these services, which involves specifying the following settings:
        
        ```
        DANE:
            API_URL: 'http://localhost:5500/DANE/'
            MANAGE_URL: 'http://localhost:5500/manage/'
        RABBITMQ:
            HOST: 'localhost'
            PORT: 5672
            EXCHANGE: 'DANE-exchange'
            RESPONSE_QUEUE: 'DANE-response-queue'
            USER: 'guest'
            PASSWORD: 'guest'
        ELASTICSEARCH:
            HOST: 'localhost'
            PORT: 9200
            USER: 'elastic'
            PASSWORD: 'changeme'
            SCHEME: 'http'
        ```
        
        The values given here are the default values.
        
        ### Usage
        
        Examples of how to use DANE can be found in the `examples/` directory.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
