nopaque/web/app/corpora/events.py
2020-06-05 14:42:04 +02:00

210 lines
8.8 KiB
Python

from flask import current_app, request
from flask_login import current_user
from socket import gaierror
from .. import db, socketio
from ..decorators import socketio_login_required
from ..events import connected_sessions
from ..models import Corpus, User
import cqi
import math
from app import logger
from datetime import datetime
'''
' A dictionary containing lists of, with corpus ids associated, Socket.IO
' session ids (sid). {<corpus_id>: [<sid>, ...], ...}
'''
corpus_analysis_sessions = {}
'''
' A dictionary containing Socket.IO session id - CQi client pairs.
' {<sid>: CQiClient, ...}
'''
corpus_analysis_clients = {}
@socketio.on('corpus_analysis_init')
@socketio_login_required
def init_corpus_analysis(corpus_id):
socketio.start_background_task(corpus_analysis_session_handler,
current_app._get_current_object(),
corpus_id, current_user.id, request.sid)
@socketio.on('corpus_analysis_get_meta_data')
@socketio_login_required
def corpus_analysis_get_meta_data(corpus_id):
# get meta data from db
db_corpus = Corpus.query.get(corpus_id)
# TODO: Check if current user is actually the creator of the corpus?
metadata = {}
metadata['corpus_name'] = db_corpus.title
metadata['corpus_description'] = db_corpus.description
metadata['corpus_creation_date'] = db_corpus.creation_date.isoformat()
metadata['corpus_last_edited_date'] = db_corpus.last_edited_date.isoformat()
# get meta data from corpus in cqp server
client = corpus_analysis_clients.get(request.sid)
client_corpus = client.corpora.get('CORPUS')
metadata['corpus_properties'] = client_corpus.attrs['properties']
metadata['corpus_size_tokens'] = client_corpus.attrs['size']
text_attr = client_corpus.structural_attributes.get('text')
struct_attrs = client_corpus.structural_attributes.list(filters={'part_of': text_attr})
text_ids = range(0, (text_attr.attrs['size']))
texts_metadata = {}
for text_id in text_ids:
texts_metadata[text_id] = {}
for struct_attr in struct_attrs:
texts_metadata[text_id][struct_attr.attrs['name'][(len(text_attr.attrs['name']) + 1):]] = struct_attr.values_by_ids(list(range(struct_attr.attrs['size'])))[text_id]
metadata['corpus_all_texts'] = texts_metadata
metadata['corpus_analysis_date'] = datetime.utcnow().isoformat()
metadata['corpus_cqi_py_version'] = cqi.version
metadata['corpus_cqpserver_version'] = 'CQPserver v3.4.22' # TODO: make this dynamically
# write some metadata to the db
db_corpus.current_nr_of_tokens = metadata['corpus_size_tokens']
db.session.commit()
# emit data
payload = metadata
response = {'code': 200, 'desc': 'Corpus meta data', 'msg': 'OK', 'payload': payload}
socketio.emit('corpus_analysis_send_meta_data', response, room=request.sid)
@socketio.on('corpus_analysis_query')
@socketio_login_required
def corpus_analysis_query(query):
client = corpus_analysis_clients.get(request.sid)
if client is None:
response = {'code': 424, 'desc': 'No client found for this session',
'msg': 'Failed Dependency'}
socketio.emit('corpus_analysis_query', response, room=request.sid)
return
if client.status == 'running':
client.status = 'abort'
while client.status != 'ready':
socketio.sleep(0.1)
try:
corpus = client.corpora.get('CORPUS')
query_status = corpus.query(query)
results = corpus.subcorpora.get('Results')
except cqi.errors.CQiException as e:
payload = {'code': e.code, 'desc': e.description, 'msg': e.name}
response = {'code': 500, 'desc': None, 'msg': 'Internal Server Error',
'payload': payload}
socketio.emit('corpus_analysis_query', response, room=request.sid)
return
payload = {**query_status, 'match_count': results.attrs['size']}
response = {'code': 200, 'desc': None, 'msg': 'OK', 'payload': payload}
socketio.emit('corpus_analysis_query', response, room=request.sid)
# TODO: Stop here and add a new method for transmission
chunk_size = 100
chunk_start = 0
context = 50
progress = 0
client.status = 'running'
while chunk_start <= results.attrs['size']:
if client.status == 'abort':
break
chunk = results.export(context=context, cutoff=chunk_size,
expand_lists=False, offset=chunk_start)
chunk['cpos_ranges'] = True
if (results.attrs['size'] == 0):
progress = 100
else:
progress = ((chunk_start + chunk_size) / results.attrs['size']) * 100
progress = min(100, int(math.ceil(progress)))
response = {'code': 200, 'desc': None, 'msg': 'OK',
'payload': {'chunk': chunk, 'progress': progress}}
socketio.emit('corpus_analysis_query_results', response,
room=request.sid)
chunk_start += chunk_size
client.status = 'ready'
@socketio.on('corpus_analysis_inspect_match')
@socketio_login_required
def corpus_analysis_inspect_match(payload):
payload = payload["payload"]
client = corpus_analysis_clients.get(request.sid)
if client is None:
response = {'code': 424, 'desc': 'No client found for this session',
'msg': 'Failed Dependency'}
socketio.emit('corpus_analysis_inspect_match', response, room=request.sid)
return
try:
corpus = client.corpora.get('CORPUS')
s = corpus.structural_attributes.get('s')
payload = s.export(payload['first_cpos'], payload['last_cpos'], context=10)
payload['cpos_ranges'] = True
except cqi.errors.CQiException as e:
payload = {'code': e.code, 'desc': e.description, 'msg': e.name}
response = {'code': 500, 'desc': None, 'msg': 'Internal Server Error',
'payload': payload}
else:
response = {'code': 200, 'desc': None, 'msg': 'OK', 'payload': payload}
socketio.emit('corpus_analysis_inspect_match', response, room=request.sid)
def corpus_analysis_session_handler(app, corpus_id, user_id, session_id):
with app.app_context():
''' Setup analysis session '''
corpus = Corpus.query.get(corpus_id)
user = User.query.get(user_id)
if corpus is None:
response = {'code': 404, 'desc': None, 'msg': 'Not Found'}
socketio.emit('corpus_analysis_init', response, room=session_id)
return
elif not (corpus.creator == user or user.is_administrator()):
response = {'code': 403, 'desc': None, 'msg': 'Forbidden'}
socketio.emit('corpus_analysis_init', response, room=session_id)
return
elif corpus.status == 'unprepared':
response = {'code': 424, 'desc': 'Corpus is not prepared',
'msg': 'Failed Dependency'}
socketio.emit('corpus_analysis_init', response, room=request.sid)
return
while corpus.status != 'analysing':
db.session.refresh(corpus)
socketio.sleep(3)
client = cqi.CQiClient('cqpserver_{}'.format(corpus_id))
try:
payload = client.connect()
except cqi.errors.CQiException as e:
payload = {'code': e.code, 'desc': e.description, 'msg': e.name}
response = {'code': 500, 'desc': None,
'msg': 'Internal Server Error', 'payload': payload}
socketio.emit('corpus_analysis_init', response, room=session_id)
return
except gaierror:
response = {'code': 500, 'desc': None,
'msg': 'Internal Server Error'}
socketio.emit('corpus_analysis_init', response, room=session_id)
return
corpus_analysis_clients[session_id] = client
if corpus_id not in corpus_analysis_sessions:
corpus_analysis_sessions[corpus_id] = [session_id]
else:
corpus_analysis_sessions[corpus_id].append(session_id)
client.status = 'ready'
response = {'code': 200, 'desc': None, 'msg': 'OK', 'payload': payload}
socketio.emit('corpus_analysis_init', response, room=session_id)
''' Observe analysis session '''
while session_id in connected_sessions:
socketio.sleep(3)
''' Teardown analysis session '''
if client.status == 'running':
client.status = 'abort'
while client.status != 'ready':
socketio.sleep(0.1)
try:
client.disconnect()
except cqi.errors.CQiException:
pass
corpus_analysis_clients.pop(session_id, None)
corpus_analysis_sessions[corpus_id].remove(session_id)
if not corpus_analysis_sessions[corpus_id]:
corpus_analysis_sessions.pop(corpus_id, None)
corpus.status = 'stop analysis'
db.session.commit()