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()
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 cloudmining import CloudMiningApp
# assumes a default directory structure
app = CloudMiningApp.from_directory('/home/letterlocked/CloudMining/examples/imdb', autoreload=True)
# what sorting options are shown (key must match cl sort options)
app.set_ui_sort_by(
dict(key='pop', description='popularity'),
dict(key='dat', description='date'),
dict(key='rat', description='user ratings'),
dict(key='vot', description='number of votes')
)
# you can reorder the facets and change default look here
# name must match the sphinx client facet names
app.set_ui_facets(
dict(name='year', color='purple', collapsed=True, visualization='rose'),
dict(name='genre', color='green', visualization='counts'),
dict(name='keyword', color='black', visualization='counts'),
dict(name='director', color='blue', visualization='counts'),
dict(name='actor', color='red', visualization='counts'),
)
# 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)
# instance name and description which appears in the front page
app.set_ui_instance(
#!/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'),
#!/usr/bin/env python
from cloudmining import CloudMiningApp
# assumes a default directory structure
app = CloudMiningApp.from_directory('.', autoreload=True)
# what sorting options are shown (key must match cl sort options)
app.set_ui_sort_by(dict(key='pop', description='popularity'),
dict(key='dat', description='date'),
dict(key='rat', description='user ratings'),
dict(key='vot', description='number of votes'))
# you can reorder the facets and change default look here
# name must match the sphinx client facet names
app.set_ui_facets(
dict(name='year', color='purple', collapsed=True, visualization='rose'),
dict(name='genre', color='green', visualization='counts'),
dict(name='keyword', color='black', visualization='counts'),
dict(name='director', color='blue', visualization='counts'),
dict(name='actor', color='red', visualization='counts'),
)
# 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)
# instance name and description which appears in the front page
app.set_ui_instance(instance_name='IMDb',
description='''
<p>Search <strong>movies</strong> from <a href="http://www.imdb.com">IMDB</a>.
#!/usr/bin/env python
from cloudmining import CloudMiningApp
# assumes a default directory structure
app = CloudMiningApp.from_directory('.', autoreload=True)
# 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', visualization='counts'),
dict(name='journal', color='green', collapsed=True),
dict(name='mesh', color='black'),
dict(name='year', visualization='rose'),
)
# 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)
# instance name and description which appears in the front page
app.set_ui_instance(
instance_name='MEDLINE',
description='''<p>Search over 18M <strong>biomedical articles</strong> from <a href="http://www.ncbi.nlm.nih.gov/pubmed">MEDLINE</a>
enhanced with citations from <a href="http://www.ncbi.nlm.nih.gov/pmc">Pubmed Central</a>.</p>'''
)
# custom template functions
import lib.templating
# custom search function to handle cite queries
#!/usr/bin/env python
from cloudmining import CloudMiningApp
# assumes a default directory structure
app = CloudMiningApp.from_directory(
'/home/letterlocked/CloudMining/examples/imdb', autoreload=True)
# what sorting options are shown (key must match cl sort options)
app.set_ui_sort_by(dict(key='pop', description='popularity'),
dict(key='dat', description='date'),
dict(key='rat', description='user ratings'),
dict(key='vot', description='number of votes'))
# you can reorder the facets and change default look here
# name must match the sphinx client facet names
app.set_ui_facets(
dict(name='year', color='purple', collapsed=True, visualization='rose'),
dict(name='genre', color='green', visualization='counts'),
dict(name='keyword', color='black', visualization='counts'),
dict(name='director', color='blue', visualization='counts'),
dict(name='actor', color='red', visualization='counts'),
)
# 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)
# instance name and description which appears in the front page
app.set_ui_instance(instance_name='IMDb',
description='''
#!/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'),
from cloudmining import CloudMiningApp
# assumes a default directory structure
app = CloudMiningApp.from_directory('.')
# launch default web server
if __name__ == '__main__':
app.run()
