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Remove debug code

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This commit is contained in:
Patrick Jentsch 2023-06-22 13:21:19 +02:00
parent eb2abf8282
commit 2739dc4b4f
2 changed files with 36 additions and 157 deletions
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171
app/corpora/cqi_over_socketio/cqi_corpora_corpus.py
View File

@ -49,18 +49,28 @@ 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 = cqi_client.corpora.get(corpus_name)
cqi_corpus = cqi_client.corpora.get(corpus_name)
cqi_p_attrs = {
p_attr.name: p_attr
for p_attr in cqi_corpus.positional_attributes.list()
}
cqi_s_attrs = {
s_attr.name: s_attr
for s_attr in cqi_corpus.structural_attributes.list()
}
payload = {
'corpus': {
'bounds': [0, corpus.size - 1],
'counts': {},
'bounds': [0, cqi_corpus.size - 1],
'counts': {
'token': cqi_corpus.size
},
'freqs': {}
},
'p_attrs': {},
's_attrs': {},
'values': {'p_attrs': {}, 's_attrs': {}}
}
for p_attr in corpus.positional_attributes.list():
for p_attr in cqi_p_attrs.values():
payload['corpus']['freqs'][p_attr.name] = dict(
zip(
range(0, p_attr.lexicon_size),
@ -69,8 +79,8 @@ def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_
)
payload['p_attrs'][p_attr.name] = dict(
zip(
range(0, corpus.size),
p_attr.ids_by_cpos(list(range(0, corpus.size)))
range(0, cqi_corpus.size),
p_attr.ids_by_cpos(list(range(0, cqi_corpus.size)))
)
)
payload['values']['p_attrs'][p_attr.name] = dict(
@ -79,158 +89,27 @@ def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_
p_attr.values_by_ids(list(range(0, p_attr.lexicon_size)))
)
)
s = corpus.structural_attributes.get('s')
ent = corpus.structural_attributes.get('ent')
for s_attr in corpus.structural_attributes.list():
for s_attr in cqi_s_attrs.values():
if s_attr.has_values:
continue
payload['corpus']['counts'][s_attr.name] = s_attr.size
payload['s_attrs'][s_attr.name] = {'lexicon': {}, 'values': []}
for id in range(0, s_attr.size):
payload['s_attrs'][s_attr.name]['lexicon'][id] = {}
if s_attr.name != 'text':
continue
lbound, rbound = s_attr.cpos_by_id(id)
payload['s_attrs'][s_attr.name]['lexicon'][id]['bounds'] = [lbound, rbound]
cpos_range = range(lbound, rbound + 1)
payload['s_attrs'][s_attr.name]['lexicon'][id]['counts'] = {}
payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['s'] = len({x for x in s.ids_by_cpos(list(cpos_range)) if x != -1})
payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['ent'] = len({x for x in ent.ids_by_cpos(list(cpos_range)) if x != -1})
payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['token'] = rbound - lbound + 1
if s_attr.name not in ['text', 's']:
continue
cpos_range = range(lbound, rbound + 1)
payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['ent'] = len({x for x in cqi_s_attrs['ent'].ids_by_cpos(list(cpos_range)) if x != -1})
if s_attr.name != 'text':
continue
payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['s'] = len({x for x in cqi_s_attrs['s'].ids_by_cpos(list(cpos_range)) if x != -1})
payload['s_attrs'][s_attr.name]['lexicon'][id]['freqs'] = {}
for p_attr in corpus.positional_attributes.list():
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))))
# for s_attr in s_attrs:
# payload['s_attrs'][s_attr.name] = {'lexicon': {}, 'values': []}
# payload['values']['s_attrs'][s_attr.name] = {}
# for id in range(0, s_attr.size):
# payload['s_attrs'][s_attr.name]['lexicon'][id] = {}
# if s_attr.name != 'text':
# continue
# lbound, rbound = s_attr.cpos_by_id(id)
# cpos_range = range(lbound, rbound + 1)
# # s_ids
# payload['s_attrs'][s_attr.name]['lexicon'][id]['bounds'] = [lbound, rbound]
# payload['s_attrs'][s_attr.name]['lexicon'][id]['counts'] = {}
# payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['token'] = rbound - lbound + 1
# payload['s_attrs'][s_attr.name]['lexicon'][id]['freqs'] = {
# p_attr.name: dict(Counter(p_attr.ids_by_cpos(list(cpos_range))))
# for p_attr in p_attrs
# }
# for sub_attr in corpus.structural_attributes.list(filters={'part_of': s_attr}):
# payload['s_attrs'][s_attr.name]['values'].append(sub_attr.name[(len(s_attr.name) + 1):])
# payload['values']['s_attrs'][s_attr.name][sub_attr.name[(len(s_attr.name) + 1):]] = dict(
# zip(
# range(0, sub_attr.size),
# sub_attr.values_by_ids(list(range(0, sub_attr.size)))
# )
# )
# text = corpus.structural_attributes.get('text')
# text = corpus.structural_attributes.get('text')
# text_value_names = []
# text_values = []
# for text_sub_attr in corpus.structural_attributes.list(filters={'part_of': text}):
# text_value_names.append(text_sub_attr.name[(len(text.name) + 1):])
# text_values.append(text_sub_attr.values_by_ids(list(range(0, text.size))))
# s = corpus.structural_attributes.get('s')
# ent = corpus.structural_attributes.get('ent')
# ent_value_names = []
# ent_values = []
# for ent_sub_attr in corpus.structural_attributes.list(filters={'part_of': ent}):
# ent_value_names.append(ent_sub_attr.name[(len(ent.name) + 1):])
# ent_values.append(ent_sub_attr.values_by_ids(list(range(0, ent.size))))
# word = corpus.positional_attributes.get('word')
# lemma = corpus.positional_attributes.get('lemma')
# pos = corpus.positional_attributes.get('pos')
# simple_pos = corpus.positional_attributes.get('simple_pos')
# payload = {}
# payload['text'] = {'lexicon': {}, 'values': None}
# for text_id in range(0, text.size):
# text_lbound, text_rbound = text.cpos_by_id(text_id)
# text_cpos_range = range(text_lbound, text_rbound + 1)
# text_s_ids = s.ids_by_cpos(list(text_cpos_range))
# text_ent_ids = ent.ids_by_cpos(list(text_cpos_range))
# payload['text']['lexicon'][text_id] = {
# 'bounds': [text_lbound, text_rbound],
# 'counts': {
# 's': len([x for x in text_s_ids if x != -1]),
# 'ent': len([x for x in text_ent_ids if x != -1]),
# 'token': text_rbound - text_lbound + 1
# },
# 'freqs': {
# 'word': dict(
# Counter(word.ids_by_cpos(list(text_cpos_range)))
# ),
# 'lemma': dict(
# Counter(lemma.ids_by_cpos(list(text_cpos_range)))
# ),
# 'pos': dict(
# Counter(pos.ids_by_cpos(list(text_cpos_range)))
# ),
# 'simple_pos': dict(
# Counter(simple_pos.ids_by_cpos(list(text_cpos_range)))
# )
# }
# }
# payload['text']['values'] = text_value_names
# payload['s'] = {'lexicon': {}, 'values': None}
# for s_id in range(0, s.size):
# payload['s']['lexicon'][s_id] = {
# # 'bounds': s.cpos_by_id(s_id)
# }
# payload['s']['values'] = [
# sub_attr.name[(len(s.name) + 1):]
# for sub_attr in corpus.structural_attributes.list(filters={'part_of': s})
# ]
# payload['ent'] = {'lexicon': {}, 'values': None}
# for ent_id in range(0, ent.size):
# payload['ent']['lexicon'][ent_id] = {
# # 'bounds': ent.cpos_by_id(ent_id)
# }
# payload['ent']['values'] = ent_value_names
# payload['lookups'] = {
# 'corpus': {},
# 'text': {
# text_id: {
# text_value_name: text_values[text_value_name_idx][text_id_idx]
# for text_value_name_idx, text_value_name in enumerate(text_value_names)
# } for text_id_idx, text_id in enumerate(range(0, text.size))
# },
# 's': {},
# 'ent': {
# ent_id: {
# ent_value_name: ent_values[ent_value_name_idx][ent_id_idx]
# for ent_value_name_idx, ent_value_name in enumerate(ent_value_names)
# } for ent_id_idx, ent_id in enumerate(range(0, ent.size))
# },
# 'word': dict(
# zip(
# range(0, word.lexicon_size),
# word.values_by_ids(list(range(0, word.lexicon_size)))
# )
# ),
# 'lemma': dict(
# zip(
# range(0, lemma.lexicon_size),
# lemma.values_by_ids(list(range(0, lemma.lexicon_size)))
# )
# ),
# 'pos': dict(
# zip(
# range(0, pos.lexicon_size),
# pos.values_by_ids(list(range(0, pos.lexicon_size)))
# )
# ),
# 'simple_pos': dict(
# zip(
# range(0, simple_pos.lexicon_size),
# simple_pos.values_by_ids(list(range(0, simple_pos.lexicon_size)))
# )
# )
# }
# print(payload)
return {'code': 200, 'msg': 'OK', 'payload': payload}

22
app/static/js/CorpusAnalysis/CorpusAnalysisApp.js
View File

@ -34,17 +34,17 @@ class CorpusAnalysisApp {
.then(
cQiCorpus => {
this.data.corpus = {o: cQiCorpus};
this.data.corpus.o.getVisualizationData()
.then(
(data) => {
console.log(data);
// this.renderGeneralCorpusInfo(data);
// this.renderTextInfoList(data);
// this.renderTextProportionsGraphic(data);
// this.renderWordFrequenciesGraphic(data);
// this.renderBoundsGraphic(data);
}
);
// this.data.corpus.o.getVisualizationData()
// .then(
// (data) => {
// console.log(data);
// this.renderGeneralCorpusInfo(data);
// this.renderTextInfoList(data);
// this.renderTextProportionsGraphic(data);
// this.renderWordFrequenciesGraphic(data);
// this.renderBoundsGraphic(data);
// }
// );
this.data.corpus.o.getCorpusData()
.then(corpusData => {
console.log(corpusData);