Introduction

impact is a project designed to provide a library for creating ANSS Impact Products.

Installation and Dependencies

This package depends on neicio, part of an effort at the NEIC to create generally useful Python libraries from the PAGER source code.

To install neicio (and it's dependencies), follow the instructions on the neicio page:

https://github.com/usgs/neicio

If you have the dependencies installed, do:

pip install git+git://github.com/usgs/neicio.git

To install this package:

pip install git+git://github.com/mhearne-usgs/impact.git

Uninstalling and Updating

To uninstall:

pip uninstall impact

To update:

pip install -U git+git://github.com/mhearne-usgs/impact.git

Libary Usage

The library code will be installed in <PATH_TO_PYTHON>/lib/pythonX.Y/site-packages/impact/. Developers should be able to use the class in impact.py by importing it:

from impact.impact import ImpactObject
event = {'id':'12345678',
             'lat':34.1234,
             'lon':-118.1234,
             'depth':10.0,
             'time':datetime.utcnow(),
             'magnitude':6.1,
             'effects':[
                 {'preferred':True,
                  'effecttype':TSUNAMI,
                  'source':'UTSU',
                  'comment':'Tsunami swamped the island'},
                 {'preferred':False,
                  'effecttype':TSUNAMI,
                  'source':'NOAA',
                  'comment':'Small tsunami waves detected'}
             ],
             'impacts':[
                 {'preferred':True,
                  'source':'pde',
                  'losstype':'shakingDeaths',
                  'value':101,
                  'valuetype':EXACT,
                  'comment':'101 deaths caused by shaking'},
                 {'preferred':False,
                  'source':'utsu',
                  'losstype':'shakingDeaths',
                  'value':100,
                  'valuetype':NEARLY,
                  'comment':'nearly 100 deaths'},
                 {'preferred':True,
                  'source':'pde',
                  'losstype':'injured',
                  'value':1000,
                  'valuetype':ATLEAST,
                  'comment':'at least 1000 injuries'},
                  {'preferred':False,
                   'source':'emdat',
                   'losstype':'injured',
                   'value':(1100,1200),
                   'valuetype':RANGE,
                   'comment':'Between 1100 and 1200 injured'}]}
    itag = ImpactObject(event)
    xmltext = itag.renderToString()
    for line in xmltext.split('\n'):
        if not len(line.strip()):
            continue
        print line