def run(fsphinx_config='',
sim_config='',
from_dir='',
port='',
no_debug=False):
if fsphinx_config:
cl = FSphinxClient.FromConfig(fsphinx_config)
else:
cl = None
if sim_config:
sim_cl = SimClient.FromConfig(sim_config)
else:
sim_cl = None
if no_debug:
autoreload = False
else:
autoreload = True
if from_dir:
app = CloudMiningApp.from_directory(from_dir,
cl=cl,
sim_cl=sim_cl,
autoreload=autoreload)
else:
app = CloudMiningApp(cl, sim_cl, autoreload=autoreload)
if port:
app.set_port(port)
if no_debug:
app.debug = False
app.template_caching = True
app.run()
#!/usr/bin/env python
from fsphinx import FSphinxClient
from simsearch import SimClient
from cloudmining import CloudMiningApp
# create a FSphinxClient from the configuration file
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'),
