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()))
def get_publications_from_query(query_components, list_type=None, bigquery_id=None):
try:
# Get the information from Solr
if list_type and list_type == 'similar':
resp = get_document_similar(**query_components)
else:
req = solr.create_request(**query_components)
if bigquery_id:
from adsabs.core.solr import bigquery
bigquery.prepare_bigquery_request(req, bigquery_id)
req = solr.set_defaults(req)
resp = solr.get_response(req)
except SolrReferenceQueryError, e:
app.logger.error("Solr publications query for %s blew up (%s)" % (q,e))
raise
def paper_network():
"""
View that creates the data for the paper network
"""
#if there are no bibcodes, there should be a query to extract the bibcodes
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 paper network (code #1). Please try later.')
# get the maximum number of records to use
query_components['rows'] = request.values.get('numRecs', config.MAX_EXPORTS['papernetwork'])
# 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])
#update the query parameters to return only what is necessary
query_components.update({
'facets': [],
'fields': ['bibcode,title,first_author,year','citation_count','read_count','reference'],
'highlights': [],
})
req = solr.create_request(**query_components)
url = None
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 paper network (code #2). Please try later.')
# prepare the info to send to the paper network machinery
paper_info = [doc.__dict__['data'] for doc in resp.get_docset_objects() if doc.bibcode]
statsd.incr("visualization.paper_network.viewed")
return render_template('paper_network_embedded.html', network_data=get_papernetwork(paper_info))
def author_network():
"""
View that creates the data for the author network
"""
#if there are not bibcodes, there should be a query to extract the authors
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 author network (code #1). Please try later.')
# get the maximum number of records to use
query_components['rows'] = request.values.get('numRecs', config.MAX_EXPORTS['authnetwork'])
# 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])
#update the query parameters to return only what is necessary
query_components.update({
'facets': [],
'fields': ['author_norm'],
'highlights': [],
})
req = solr.create_request(**query_components)
if 'bigquery' in request.values:
from adsabs.core.solr import bigquery
bigquery.prepare_bigquery_request(req, request.values['bigquery'])
req = solr.set_defaults(req)
resp = solr.get_response(req)
if resp.is_error():
return render_template('errors/generic_error.html', error_message='Error while creating the author network (code #2). Please try later.')
#extract the authors
lists_of_authors = [doc.author_norm for doc in resp.get_docset_objects() if doc.author_norm]
statsd.incr("visualization.author_network.viewed")
return render_template('author_network_embedded.html', network_data=get_authorsnetwork(lists_of_authors))
def search():
"""
returns the results of a search
"""
if not len(request.values):
form = QueryForm(csrf_enabled=False)
# prefill the database select menu option
form.db_f.default = config.SEARCH_DEFAULT_DATABASE
else:
form = QueryForm.init_with_defaults(request.values)
if form.validate():
query_components = QueryBuilderSearch.build(form, request.values)
bigquery_id = request.values.get('bigquery')
try:
req = solr.create_request(**query_components)
url = None
if bigquery_id:
prepare_bigquery_request(req, request.values['bigquery'])
url = config.SOLRBIGQUERY_URL
req = solr.set_defaults(req, query_url=url)
with statsd.timer("search.solr.query_response_time"):
resp = solr.get_response(req)
statsd.incr("search.solr.executed")
if bigquery_id:
facets = resp.get_facet_parameters()
facets.append(('bigquery', bigquery_id))
except Exception, e:
statsd.incr("search.solr.failed")
raise AdsabsSolrqueryException("Error communicating with search service", sys.exc_info())
if resp.is_error():
statsd.incr("search.solr.error")
flash(resp.get_error_message(), 'error')
return render_template('search_results.html', resp=resp, form=form,
query_components=query_components, bigquery_id=bigquery_id)
else:
def alladin_lite():
"""
View that creates the data for alladin lite
"""
#if there are not bibcodes, there should be a query to extract the authors
if request.values.has_key('bibcode'):
bibcodes = request.values.getlist('bibcode')
else:
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. Please try later.')
# get the maximum number of records to use
query_components['rows'] = request.values.get('numRecs', config.MAX_EXPORTS['skymap'])
#update the query parameters to return only what is necessary
query_components.update({
'facets': [],
'fields': ['bibcode'],
'highlights': [],
})
req = solr.create_request(**query_components)
url = None
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 objects skymap. Please try later.')
bibcodes = [x.bibcode for x in resp.get_docset_objects()]
statsd.incr("visualization.alladin_lite.viewed")
return render_template('alladin_lite_embedded.html', bibcodes={'bibcodes':bibcodes})
def export_to_other_formats():
"""
view that exports a set of papers
the imput is a format and
a list of bibcodes or a variable containing the parameters for a solr query
"""
#extract the format
export_format = request.values.getlist('export_format')
list_type = request.values.get('list_type')
numRecs = request.values.get('numRecs')
#list of bibcodes to extract
bibcodes_to_export = []
#flag to check if everything has been extracted
all_extracted = True
num_hits = None
#if there are not bibcodes, there should be first a query to extract them
if not request.values.has_key('bibcode'):
#@todo: code to query solr with the same query parameters but override the fields to retrieve
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 exporting records (code #1). Please try later.')
#update the query parameters to return only what is necessary
query_components.update({'facets':[], 'fields': ['bibcode'], 'highlights':[], 'rows': str(numRecs)})
if 'sort' not in query_components:
# this might be an abstract citation/reference list view so get the sort from config
if list_type is not None and list_type in config.ABS_SORT_OPTIONS_MAP:
query_components['sort'] = [config.ABS_SORT_OPTIONS_MAP[list_type]]
#execute the query
if list_type == 'similar':
resp = get_document_similar(**query_components)
else:
req = solr.create_request(**query_components)
url = None
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 exporting records (code #2). Please try later.')
#extract the bibcodes
for doc in resp.get_docset_objects():
bibcodes_to_export.append(doc.bibcode)
#check if all the results of the query have been extracted ( num results <= max to extract )
if resp.get_hits() > numRecs:
all_extracted = False
num_hits = resp.get_hits()
else:
#extract all the bibcodes
bibcodes_to_export = request.values.getlist('bibcode')
#actually export the records
if bibcodes_to_export:
export_str = get_classic_records_export(bibcodes_to_export, export_format)
else:
export_str = ''
#if not everything has been extracted, show message on top
if not all_extracted:
export_str = 'Exported first %s results of %s total. \n\n\n%s' % (numRecs, num_hits, export_str)
else:
export_str = 'Exported %s records \n\n\n%s' % (len(bibcodes_to_export), export_str)
return Response(export_str, mimetype='text/plain')
try:
query_components = json.loads(request.values.get('current_search_parameters'))
except (TypeError, JSONDecodeError), e:
#@todo: logging of the error
return ''
#update the query parameters to return only what is necessary
query_components.update({'facets':[], 'fields': ['bibcode'], 'highlights':[], 'rows': numRecs})
if 'sort' not in query_components:
query_components['sort'] = create_sort_param(list_type=list_type)
#execute the query
if list_type == 'similar':
resp = get_document_similar(**query_components)
else:
req = solr.create_request(**query_components)
url = None
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():
#@todo: logging of the error
return ''
#extract the bibcodes
for doc in resp.get_docset_objects():
bibcodes_to_export.append(doc.bibcode)
return ';'.join(bibcodes_to_export)