cl = FSphinxClient.FromConfig('config/sphinx_client.py') # create similarity search client sim_cl = SimClient.FromConfig('config/simsearch_client.py') # create a new CloudMining web application app = CloudMiningApp(autoreload=True) # set the fsphinx client of the webapp app.set_fsphinx_client(cl) # same for similarity search app.set_sim_client(sim_cl) # if cl has a search cache preload it app.set_preload_cache_file('data/redis-cache.dat') # some more options which can be set app.set_debug(True) # also web.config.debug app.set_template_caching(False) # also web.config.template_caching app.set_flush_cache_on_startup(True) # what sorting options are shown (key must match cl sort options) app.set_ui_sort_by( dict(key='cit', description='number of citations'), dict(key='rel', description='relevance'), dict(key='dat', description='year') ) # you can reorder the facets and change default look here # name must match the sphinx client facet names
cl = FSphinxClient.FromConfig('config/sphinx_client.py') # create similarity search client sim_cl = SimClient.FromConfig('config/simsearch_client.py') # create a new CloudMining web application app = CloudMiningApp(autoreload=True) # set the fsphinx client of the webapp app.set_fsphinx_client(cl) # same for similarity search app.set_sim_client(sim_cl) # if cl has a search cache preload it app.set_preload_cache_file('data/redis-cache.dat') # some more options which can be set app.set_debug(True) # also web.config.debug app.set_template_caching(False) # also web.config.template_caching app.set_flush_cache_on_startup(True) # what sorting options are shown (key must match cl sort options) app.set_ui_sort_by(dict(key='cit', description='number of citations'), dict(key='rel', description='relevance'), dict(key='dat', description='year')) # you can reorder the facets and change default look here # name must match the sphinx client facet names app.set_ui_facets( dict(name='author',