mirror of
https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
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302 lines
13 KiB
Python
302 lines
13 KiB
Python
from datetime import datetime
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from flask import current_app, request
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from flask_login import current_user
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from socket import gaierror
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from .. import db, socketio
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from ..decorators import socketio_login_required
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from ..events import connected_sessions
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from ..models import Corpus, User
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import cqi
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import math
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import os
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import shutil
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'''
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' A dictionary containing lists of, with corpus ids associated, Socket.IO
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' session ids (sid). {<corpus_id>: [<sid>, ...], ...}
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'''
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corpus_analysis_sessions = {}
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'''
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' A dictionary containing Socket.IO session id - CQi client pairs.
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' {<sid>: CQiClient, ...}
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'''
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corpus_analysis_clients = {}
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@socketio.on('export_corpus')
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@socketio_login_required
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def export_corpus(corpus_id):
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# TODO: This should not be get_or_404 here - Socket.IO != HTTP request
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corpus = Corpus.query.get(corpus_id)
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if corpus is None:
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response = {'code': 404, 'msg': 'Not found'}
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socketio.emit('export_corpus', response, room=request.sid)
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return
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if corpus.status not in ['prepared', 'start analysis', 'stop analysis']:
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response = {'code': 412, 'msg': 'Precondition Failed'}
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socketio.emit('export_corpus', response, room=request.sid)
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return
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# delete old corpus archive if it exists/has been build before
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if corpus.archive_file is not None and os.path.isfile(corpus.archive_file):
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os.remove(corpus.archive_file)
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zip_name = corpus.title
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zip_path = os.path.join(current_user.path, 'corpora', zip_name)
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corpus.archive_file = os.path.join(corpus.path, zip_name) + '.zip'
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db.session.commit()
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shutil.make_archive(zip_path, 'zip', corpus.path)
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shutil.move(zip_path + '.zip', corpus.archive_file)
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socketio.emit('export_corpus_' + str(corpus.id), room=request.sid)
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@socketio.on('corpus_analysis_init')
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@socketio_login_required
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def init_corpus_analysis(corpus_id):
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socketio.start_background_task(corpus_analysis_session_handler,
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current_app._get_current_object(),
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corpus_id, current_user.id, request.sid)
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@socketio.on('corpus_analysis_meta_data')
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@socketio_login_required
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def corpus_analysis_get_meta_data(corpus_id):
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# get meta data from db
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db_corpus = Corpus.query.get(corpus_id)
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metadata = {}
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metadata['corpus_name'] = db_corpus.title
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metadata['corpus_description'] = db_corpus.description
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metadata['corpus_creation_date'] = db_corpus.creation_date.isoformat()
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metadata['corpus_last_edited_date'] = \
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db_corpus.last_edited_date.isoformat()
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client = corpus_analysis_clients.get(request.sid)
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if client is None:
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response = {'code': 424, 'desc': 'No client found for this session',
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'msg': 'Failed Dependency'}
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socketio.emit('corpus_analysis_query', response, room=request.sid)
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return
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# check if client is busy or not
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if client.status == 'running':
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client.status = 'abort'
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while client.status != 'ready':
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socketio.sleep(0.1)
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# get meta data from corpus in cqp server
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client.status = 'running'
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try:
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client_corpus = client.corpora.get('CORPUS')
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metadata['corpus_properties'] = client_corpus.attrs['properties']
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metadata['corpus_size_tokens'] = client_corpus.attrs['size']
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text_attr = client_corpus.structural_attributes.get('text')
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struct_attrs = client_corpus.structural_attributes.list(
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filters={'part_of': text_attr})
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text_ids = range(0, (text_attr.attrs['size']))
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texts_metadata = {}
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for text_id in text_ids:
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texts_metadata[text_id] = {}
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for struct_attr in struct_attrs:
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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] # noqa
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metadata['corpus_all_texts'] = texts_metadata
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metadata['corpus_analysis_date'] = datetime.utcnow().isoformat()
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metadata['corpus_cqi_py_protocol_version'] = client.api.version
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metadata['corpus_cqi_py_package_version'] = cqi.__version__
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# TODO: make this dynamically
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metadata['corpus_cqpserver_version'] = 'CQPserver v3.4.22'
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# write some metadata to the db
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db_corpus.current_nr_of_tokens = metadata['corpus_size_tokens']
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db.session.commit()
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# emit data
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payload = metadata
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response = {'code': 200, 'desc': 'Corpus meta data', 'msg': 'OK',
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'payload': payload}
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socketio.emit('corpus_analysis_meta_data', response, room=request.sid)
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except cqi.errors.CQiException as e:
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payload = {'code': e.code, 'desc': e.description, 'msg': e.name}
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response = {'code': 500, 'desc': None, 'msg': 'Internal Server Error',
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'payload': payload}
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socketio.emit('corpus_analysis_meta_data', response, room=request.sid)
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client.status = 'ready'
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@socketio.on('corpus_analysis_query')
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@socketio_login_required
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def corpus_analysis_query(query):
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client = corpus_analysis_clients.get(request.sid)
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if client is None:
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response = {'code': 424, 'desc': 'No client found for this session',
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'msg': 'Failed Dependency'}
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socketio.emit('corpus_analysis_query', response, room=request.sid)
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return
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if client.status == 'running':
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client.status = 'abort'
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while client.status != 'ready':
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socketio.sleep(0.1)
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try:
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corpus = client.corpora.get('CORPUS')
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query_status = corpus.query(query)
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results = corpus.subcorpora.get('Results')
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except cqi.errors.CQiException as e:
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payload = {'code': e.code, 'desc': e.description, 'msg': e.name}
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response = {'code': 500, 'desc': None, 'msg': 'Internal Server Error',
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'payload': payload}
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socketio.emit('corpus_analysis_query', response, room=request.sid)
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return
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payload = {'status': query_status,
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'msg': cqi.api.specification.lookup[query_status],
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'match_count': results.attrs['size']}
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response = {'code': 200, 'desc': None, 'msg': 'OK', 'payload': payload}
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socketio.emit('corpus_analysis_query', response, room=request.sid)
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chunk_size = 100
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chunk_start = 0
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context = 50
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progress = 0
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client.status = 'running'
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while chunk_start <= results.attrs['size']:
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if client.status == 'abort':
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break
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chunk = results.export(context=context, cutoff=chunk_size,
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expand_lists=False, offset=chunk_start)
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chunk['cpos_ranges'] = True
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if (results.attrs['size'] == 0):
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progress = 100
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else:
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progress = ((chunk_start + chunk_size) / results.attrs['size']) * 100 # noqa
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progress = min(100, int(math.ceil(progress)))
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response = {'code': 200, 'desc': None, 'msg': 'OK',
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'payload': {'chunk': chunk, 'progress': progress}}
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socketio.emit('corpus_analysis_query_results', response,
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room=request.sid)
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chunk_start += chunk_size
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client.status = 'ready'
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@socketio.on('corpus_analysis_get_match_with_full_context')
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@socketio_login_required
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def corpus_analysis_get_match_with_full_context(payload):
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type = payload['type']
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data_indexes = payload['data_indexes']
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first_cpos = payload['first_cpos']
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last_cpos = payload['last_cpos']
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client = corpus_analysis_clients.get(request.sid)
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if client is None:
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response = {'code': 424,
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'desc': 'No client found for this session',
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'msg': 'Failed Dependency',
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'type': type,
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'data_indexes': data_indexes}
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socketio.emit('corpus_analysis_get_match_with_full_context', response,
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room=request.sid)
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return
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if client.status == 'running':
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client.status = 'abort'
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while client.status != 'ready':
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socketio.sleep(0.1)
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client.status = 'running'
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try:
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corpus = client.corpora.get('CORPUS')
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s = corpus.structural_attributes.get('s')
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payload = {}
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payload['matches'] = []
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payload['cpos_lookup'] = {}
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payload['text_lookup'] = {}
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payload['cpos_ranges'] = True
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payload['progress'] = 0
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i = 0
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# Send data one match at a time.
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for index, f_cpos, l_cpos in zip(data_indexes, first_cpos, last_cpos):
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i += 1
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tmp_match = s.export(f_cpos, l_cpos, context=10)
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payload['matches'].append(tmp_match['matches'][0])
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payload['cpos_lookup'].update(tmp_match['cpos_lookup'])
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payload['text_lookup'].update(tmp_match['text_lookup'])
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payload['progress'] = i/len(data_indexes)*100
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response = {'code': 200,
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'desc': None,
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'msg': 'OK',
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'payload': payload,
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'type': type,
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'data_indexes': data_indexes}
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socketio.emit('corpus_analysis_get_match_with_full_context',
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response, room=request.sid)
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payload['matches'] = []
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payload['cpos_lookup'] = {}
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payload['text_lookup'] = {}
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except cqi.errors.CQiException as e:
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payload = {'code': e.code, 'desc': e.description, 'msg': e.name}
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response = {'code': 500,
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'desc': None,
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'msg': 'Internal Server Error',
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'payload': payload,
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'type': type,
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'data_indexes': data_indexes}
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socketio.emit('corpus_analysis_get_match_with_full_context',
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response,
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room=request.sid)
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client.status = 'ready'
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def corpus_analysis_session_handler(app, corpus_id, user_id, session_id):
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with app.app_context():
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''' Setup analysis session '''
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corpus = Corpus.query.get(corpus_id)
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user = User.query.get(user_id)
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if corpus is None:
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response = {'code': 404, 'desc': None, 'msg': 'Not Found'}
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socketio.emit('corpus_analysis_init', response, room=session_id)
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return
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elif not (corpus.creator == user or user.is_administrator()):
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response = {'code': 403, 'desc': None, 'msg': 'Forbidden'}
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socketio.emit('corpus_analysis_init', response, room=session_id)
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return
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elif corpus.status == 'unprepared':
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response = {'code': 424, 'desc': 'Corpus is not prepared',
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'msg': 'Failed Dependency'}
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socketio.emit('corpus_analysis_init', response, room=request.sid)
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return
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while corpus.status != 'analysing':
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db.session.refresh(corpus)
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socketio.sleep(3)
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client = cqi.CQiClient('cqpserver_{}'.format(corpus_id))
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try:
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connect_status = client.connect()
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payload = {'code': connect_status,
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'msg': cqi.api.specification.lookup[connect_status]}
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except cqi.errors.CQiException as e:
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payload = {'code': e.code, 'desc': e.description, 'msg': e.name}
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response = {'code': 500, 'desc': None,
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'msg': 'Internal Server Error', 'payload': payload}
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socketio.emit('corpus_analysis_init', response, room=session_id)
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return
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except gaierror:
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response = {'code': 500, 'desc': None,
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'msg': 'Internal Server Error'}
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socketio.emit('corpus_analysis_init', response, room=session_id)
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return
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corpus_analysis_clients[session_id] = client
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if corpus_id not in corpus_analysis_sessions:
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corpus_analysis_sessions[corpus_id] = [session_id]
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else:
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corpus_analysis_sessions[corpus_id].append(session_id)
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client.status = 'ready'
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response = {'code': 200, 'desc': None, 'msg': 'OK', 'payload': payload}
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socketio.emit('corpus_analysis_init', response, room=session_id)
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''' Observe analysis session '''
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while session_id in connected_sessions:
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socketio.sleep(3)
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''' Teardown analysis session '''
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if client.status == 'running':
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client.status = 'abort'
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while client.status != 'ready':
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socketio.sleep(0.1)
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try:
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client.disconnect()
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except cqi.errors.CQiException:
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pass
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corpus_analysis_clients.pop(session_id, None)
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corpus_analysis_sessions[corpus_id].remove(session_id)
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if not corpus_analysis_sessions[corpus_id]:
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corpus_analysis_sessions.pop(corpus_id, None)
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corpus.status = 'stop analysis'
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db.session.commit()
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