Metadata-Version: 1.1
Name: djhcup_core
Version: 0.20150403
Summary: A django-based interface for warehousing HCUP data
Home-page: UNKNOWN
Author: T.J. Biel
Author-email: tbiel@med.umich.edu
License: MIT
Description: =====
        HCUP Hachoir: Core module
        =====
        
        Part of the Django-HCUP Hachoir set of Python packages. Provides core functionality, including automated detection and configuration of other installed djhcup components.
        
        Quick start
        -----------
        
        0. HCUP Hachoir uses Celery (http://www.celeryproject.org/) as a tasking layer by default. Be sure you have properly configured your Django installation to use Celery, including a message broker and result backend. Typically this invovles creating a celery.py file as described in http://celery.readthedocs.org/en/latest/django/first-steps-with-django.html, and adding configuration items to your settings.py file.
        
        For example, with a local rabbitmq-server back-end, add these lines::
        
            BROKER_URL = 'amqp://'
            CELERY_RESULT_BACKEND = 'amqp://'
        
        1. Add "djhcup_core" to your INSTALLED_APPS setting like this::
        
              INSTALLED_APPS = (
                  ...
                  'djhcup_core',
              )
        
        2. Modify your urls.py to include the following pattern entry::
        
            url(r'', include('djhcup_core.urls'))
            
        If you want all djhcup addresses to appear as a subdirectory instead, such as www.example.com/your_prefix/, change r'' to r'your_prefix'::
        
            url(r'your_prefix', include('djhcup_core.urls'))
        
        3. Modify your settings.py to include a separate database dictionary entry for djhcup named 'djhcup'. For example::
        
            'djhcup': {
                    'ENGINE': 'django.db.backends.postgresql_psycopg2',
                    'NAME': 'your_db_name',
                    'USER': 'your_db_user',
                    'PASSWORD': 'your_db_password',
                    'HOST': 'your_db_host',
                    'PORT': '5432',
                },
            
        Note that while this could use the same database and credentials as your default entry, we recommend you set it up in a separate database for easier management.
        
        4. Tell djhcup where to look for your HCUP data by adding these lines to your settings.py::
        
            import os, pyhcup
            # Look in here for data and loadfiles
            DJHCUP_IMPORT_PATHS = [
                                '/path/to/your/hcup/data/', # update this to point at your raw data
                                os.path.dirname(pyhcup.__file__), # loadfiles included with PyHCUP
                                ]
            
        5. Run `python manage.py syncdb` to create the djhcup_staging models. Or, if using South, migrate forward to build database objects for this package's models.
        
        6. Start your server per normal (for test servers, use `python manage.py runserver`).
        
Keywords: HCUP SAS healthcare analysis pandas
Platform: UNKNOWN
Classifier: Framework :: Django
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering
Requires: django (>= 1.6)
Requires: celery (>= 3.1.0)
Requires: pandas (>= 0.11.0)
Requires: pyhcup (>= 0.1.6)
Provides: djhcup_core
