def word_cloud():
"""
View that creates the data for the word cloud
"""
query_url = config.SOLRQUERY_URL
tvrh_query_url = query_url.rsplit('/', 1)[0] + '/tvrh'
try:
query_components = json.loads(request.values.get('current_search_parameters'))
except (TypeError, JSONDecodeError):
#@todo: logging of the error
return render_template('errors/generic_error.html', error_message='Error while creating the word cloud (code #1). Please try later.')
# checked bibcodes will be input as
if request.values.has_key('bibcode'):
bibcodes = request.values.getlist('bibcode')
query_components['q'] = ' OR '.join(["bibcode:%s" % b for b in bibcodes])
query_components.update({
'facets': [],
'fields': ['id'],
'highlights': [],
'defType':'aqp',
'rows': str(config.WORD_CLOUD_DEFAULT_FIRST_RESULTS),
'tv.all': 'true',
'tv.fl':'abstract',
})
resp = solr.query(query_url=tvrh_query_url, **query_components)
if resp.is_error():
return render_template('errors/generic_error.html', error_message='Error while creating the word cloud (code #2). Please try later.')
return render_template('word_cloud_embedded.html', wordcloud_data=wc_json(resp.raw_response()))
def word_cloud():
"""
View that creates the data for the word cloud
"""
query_url = config.SOLRQUERY_URL
tvrh_query_url = query_url.rsplit('/', 1)[0] + '/tvrh'
try:
query_components = json.loads(request.values.get('current_search_parameters'))
except (TypeError, JSONDecodeError):
#@todo: logging of the error
return render_template('errors/generic_error.html', error_message='Error while creating the word cloud (code #1). Please try later.')
# get the maximum number of records to use
query_components['rows'] = request.values.get('numRecs', config.MAX_EXPORTS['wordcloud'])
# checked bibcodes will be input as
if request.values.has_key('bibcode'):
bibcodes = request.values.getlist('bibcode')
query_components['q'] = ' OR '.join(["bibcode:%s" % b for b in bibcodes])
query_components.update({
'facets': [],
'fields': ['id'],
'highlights': [],
'defType':'aqp',
'tv': 'true',
'tv.tf_idf': 'true',
'tv.tf': 'true',
'tv.positions':'false',
'tf.offsets':'false',
'tv.fl':'abstract,title',
'fl':'abstract,title'
})
req = solr.create_request(**query_components)
url = tvrh_query_url
if 'bigquery' in request.values:
from adsabs.core.solr import bigquery
bigquery.prepare_bigquery_request(req, request.values['bigquery'])
url = config.SOLRBIGQUERY_URL
req = solr.set_defaults(req, query_url=url)
resp = solr.get_response(req)
if resp.is_error():
return render_template('errors/generic_error.html', error_message='Error while creating the word cloud (code #2). Please try later.')
statsd.incr("visualization.word_cloud.viewed")
return render_template('word_cloud_embedded.html', wordcloud_data=wc_json(resp.raw_response()))