Metadata-Version: 1.0
Name: mommy-spatial-generators
Version: 0.1.2
Summary: Spatial generators for model mommy. This enables you to generate dummy values for GeoDjango fields.
Home-page: http://www.sigmageosistemas.com.br
Author: George Silva
Author-email: george@consultoriasigma.com.br
License: Apache 2.0
Description: Model Mommy Spatial Generators
        ==============================
        
        This package contains spatial generators to be used with model_mommy.
        
        Model Mommy is a Django package that creates random model instances with
        predefined data.
        
        This work intends to expand it and allow it to generate GeoDjango spatial
        fields.
        
        At this moment, there is a generator for point (random), linestring (random)
        and polygon (rectangular polygon) field types.
        
        This needs substantial help with packaging and testing.
        
        All new ideas welcome.
        
        # Install
        
        To install this you just need to 
        
        ```bash
        pip install -e git+https://github.com/sigma-geosistemas/mommy_spatial_generators.git#egg=mommy_spatial_generators
        ```
        
        # Dependencies
        
        * Model Mommy (obviously);
        
        # How to make this work
        
        To integrate this work with model_mommy, you need to create a dict variable
        on your settings.py called MOMMY_CUSTOM_FIELDS_GEN and concatenate the already
        predefined dict we provide (MOMMY_SPATIAL_FIELDS), located in generators.py.
        
        model_mommy should take of the rest.
        
        ```python
        # settings.py
        from mommy_spatial_generators import MOMMY_SPATIAL_FIELDS
        
        MOMMY_CUSTOM_FIELDS_GEN = MOMMY_SPATIAL_FIELDS
        ```
        
        # Special thanks to:
        
        * mdj2, aka Matt Johnson for fixing some things and implementing MultiPolygon support (https://github.com/mdj2);
        * pchiquet, aka Pierre Chiquet, for fixing some things and implementing support for granulirity in point generation (https://github.com/pchiquet);
Platform: UNKNOWN
Classifier: Environment :: Web Environment
Classifier: Framework :: Django
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
