Temp event query handling

This commit is contained in:
Stephan Porada 2019-11-18 14:24:31 +01:00
parent 5fdd67ebf2
commit ae6e252830

View File

@ -3,8 +3,7 @@ from app.events import connected_sessions
from app.models import Corpus from app.models import Corpus
from flask import current_app, request from flask import current_app, request
from flask_login import current_user, login_required from flask_login import current_user, login_required
from .CQiWrapper.CQiClient import CQiClient from .CQiWrapper.CQiWrapper import CQiWrapper
from .CQiWrapper.CQi import CONST_FIELD_MATCH, CONST_FIELD_MATCHEND
''' '''
@ -41,32 +40,22 @@ def init_corpus_analysis(corpus_id):
def recv_query(message): def recv_query(message):
logger.warning(message) logger.warning(message)
analysis_client = analysis_clients[request.sid] analysis_client = analysis_clients[request.sid]
analysis_client.connect()
""" Prepare and execute a query """ """ Prepare and execute a query """
corpus = 'CORPUS' corpus_name = 'CORPUS'
query = message['query'] query = message['query']
query_subcorpus = 'Results' result_subcorpus_name = 'Results'
analysis_client.cqp_query(corpus, query_subcorpus, query) analysis_client.set_corpus_name(corpus_name)
""" Evaluate query results """ logger.warning('Corpus name has been set.')
match_corpus = '{}:{}'.format(corpus, query_subcorpus) analysis_client.create_attribute_strings()
match_num = analysis_client.cqp_subcorpus_size(match_corpus) logger.warning('Attribute Strings have been created.')
match_num = min(int(message['hits_per_page']) - 1, match_num) analysis_client.query_subcorpus(result_subcorpus_name, query)
if match_num == 0: logger.warning('Subcorpus from query has been created.')
print('No matches found.') subcorpora = analysis_client.show_subcorpora()
exit() logger.warning('Known subcorpora: {}'.format(subcorpora))
if not analysis_client.cqp_subcorpus_has_field(match_corpus, CONST_FIELD_MATCH): matches = analysis_client.show_results(result_start_count=1,
print('Error.') result_max_count=3)
exit() logger.warning('Match data: {}'.format(matches))
if not analysis_client.cqp_subcorpus_has_field(match_corpus, CONST_FIELD_MATCHEND):
print('Error')
exit()
match_boundaries = zip(analysis_client.cqp_dump_subcorpus(match_corpus, CONST_FIELD_MATCH, 0, match_num - 1),
analysis_client.cqp_dump_subcorpus(match_corpus, CONST_FIELD_MATCHEND, 0, match_num - 1))
matches = []
for match_start, match_end in match_boundaries:
tokens = analysis_client.cl_cpos2str('{}.word'.format(corpus), range(match_start, match_end + 1))
pos = analysis_client.cl_cpos2str('{}.pos'.format(corpus), range(match_start, match_end + 1))
matches.append({'tokens': tokens, 'pos': pos})
logger.warning(matches)
socketio.emit('query_results', matches, room=request.sid) socketio.emit('query_results', matches, room=request.sid)
@ -76,8 +65,7 @@ def observe_corpus_analysis_connection(app, corpus_id, session_id):
while corpus.status != 'analysing': while corpus.status != 'analysing':
db.session.refresh(corpus) db.session.refresh(corpus)
socketio.sleep(3) socketio.sleep(3)
analysis_client = CQiClient(host='{}_analysis_container{}'.format(corpus.creator.username, corpus.id), port=4877) analysis_client = CQiWrapper(host='{}_analysis_container{}'.format(corpus.creator.username, corpus.id), port=4877, password='opaque', username='opaque')
analysis_client.ctrl_connect('opaque', 'opaque')
analysis_clients[session_id] = analysis_client analysis_clients[session_id] = analysis_client
socketio.emit('init_corpus_analysis', 'Ready', room=session_id) socketio.emit('init_corpus_analysis', 'Ready', room=session_id)
while session_id in connected_sessions: while session_id in connected_sessions:
@ -91,7 +79,7 @@ def observe_corpus_analysis_connection(app, corpus_id, session_id):
socketio.sleep(3) socketio.sleep(3)
''' '''
socketio.sleep(3) socketio.sleep(3)
analysis_client.ctrl_bye() analysis_client.disconnect()
analysis_clients.pop(session_id, None) analysis_clients.pop(session_id, None)
analysis_sessions[str(corpus_id)].remove(session_id) analysis_sessions[str(corpus_id)].remove(session_id)
if not analysis_sessions[str(corpus_id)]: if not analysis_sessions[str(corpus_id)]: