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Merge branch 'visualizations-update' of gitlab.ub.uni-bielefeld.de:sfb1288inf/nopaque into visualizations-update

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This commit is contained in:
Inga Kirschnick 2023-06-22 16:23:55 +02:00
commit 1c98c5070a
1 changed files with 30 additions and 2 deletions
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32
app/corpora/cqi_over_socketio/cqi_corpora_corpus.py
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@ -1,8 +1,9 @@
from collections import Counter
from flask import session
import cqi
import json
import math
import random
import os
from app import db, socketio
from app.decorators import socketio_login_required
from app.models import Corpus
@ -49,6 +50,12 @@ def cqi_corpora_corpus_update_db(cqi_client: cqi.CQiClient, corpus_name: str):
@socketio_login_required
@cqi_over_socketio
def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_name: str):
corpus = Corpus.query.get(session['d']['corpus_id'])
visualization_data_file_path = os.path.join(corpus.path, 'cwb', 'visualization_data.json')
if os.path.exists(visualization_data_file_path):
with open(visualization_data_file_path, 'r') as f:
payload = json.load(f)
return {'code': 200, 'msg': 'OK', 'payload': payload}
cqi_corpus = cqi_client.corpora.get(corpus_name)
##########################################################################
# A faster way to get cpos boundaries for smaller s_attrs #
@ -108,7 +115,8 @@ def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_
if s_attr.has_values:
continue
payload['corpus']['counts'][s_attr.name] = s_attr.size
payload['s_attrs'][s_attr.name] = {'lexicon': {}, 'values': []}
payload['s_attrs'][s_attr.name] = {'lexicon': {}, 'values': None}
payload['values']['s_attrs'][s_attr.name] = {}
for id in range(0, s_attr.size):
payload['s_attrs'][s_attr.name]['lexicon'][id] = {}
lbound, rbound = s_attr.cpos_by_id(id)
@ -125,6 +133,26 @@ def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_
payload['s_attrs'][s_attr.name]['lexicon'][id]['freqs'] = {}
for p_attr in cqi_p_attrs.values():
payload['s_attrs'][s_attr.name]['lexicon'][id]['freqs'][p_attr.name] = dict(Counter(p_attr.ids_by_cpos(list(cpos_range))))
sub_s_attrs = cqi_corpus.structural_attributes.list(filters={'part_of': s_attr})
s_attr_value_names = [
sub_s_attr.name[(len(s_attr.name) + 1):]
for sub_s_attr in sub_s_attrs
]
sub_s_attr_values = [
sub_s_attr.values_by_ids(list(range(0, s_attr.size)))
for sub_s_attr in sub_s_attrs
]
payload['s_attrs'][s_attr.name]['values'] = s_attr_value_names
payload['values']['s_attrs'][s_attr.name] = {
s_attr_id: {
s_attr_value_name: sub_s_attr_values[s_attr_value_name_idx][s_attr_id_idx]
for s_attr_value_name_idx, s_attr_value_name in enumerate(
payload['s_attrs'][s_attr.name]['values']
)
} for s_attr_id_idx, s_attr_id in enumerate(range(0, s_attr.size))
}
with open(visualization_data_file_path, 'w') as f:
json.dump(payload, f)
return {'code': 200, 'msg': 'OK', 'payload': payload}