def generate_exportcontent(connection_data, options, staticbase):
#TODO change this we should be able to add options on the global model
# print "Generate PDF"
model = nep_model.nepModel(rawData = connection_data, options=options)
model.buildTrees()
model.printLogicalTree()
model.printGraphicalTree()
model.buildPrintGrid()
tmpDir = tempfile.mkdtemp()
tmpName = str(uuid.uuid1())+'.pdf'
endPath = os.path.join(tmpDir, tmpName);
renderer = nep_renderer_pdf.PDFRenderer(model, options, endPath)
renderer.render()
return endPath
#es = elasticsearch.Elasticsearch()
# #AKIAJ72ERMT77ZQ7F67Q
# #AKIAJ5NJGWEGSXQDCLHA
# candidates = es.search(index="nephorider", body={"query": {"match": {"key":'AKIAJ5NJGWEGSXQDCLHA'}}})
# if 0 != candidates[u'hits'][u'total']:
# options={u'papersize': u'A4', u'onepagefit': True, u'vpcid': u'VPC1', u'filter': u'Regions'}
# endPath = generate_exportcontent(candidates[u'hits'][u'hits'][0][u'_source'], options, '/Users/lcerveau/Documents/nepho_platform/webapp/static/imgs')
# else:
# print 'not anymore in elastic search'
# mmawsKey = 'AKIAJ5NJGWEGSXQDCLHA'
# mmawsSecret = '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'
# grawsKey = 'AKIAJ72ERMT77ZQ7F67Q'
# grawsSecret = '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'
#
#gr_dict = fetch_base_data(grawsKey, grawsSecret,'Gromulus')
# print gr_dict
