mirror of
https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-12-25 02:44:18 +00:00
Fix cqi_over_socketio not handling cqi status correctly
This commit is contained in:
Patrick Jentsch
parent
f037c31b88
commit
be51044059
@ -18,8 +18,8 @@ def cqi_connect(cqi_client: cqi.CQiClient):
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'msg': 'Internal Server Error',
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'payload': {'code': e.args[0], 'desc': e.args[1]}
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}
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payload = {'code': cqi_status,
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'msg': cqi.api.specification.lookup[cqi_status]}
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payload = {'code': cqi_status.code,
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'msg': cqi_status.__class__.__name__}
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return {'code': 200, 'msg': 'OK', 'payload': payload}
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@ -28,8 +28,8 @@ def cqi_connect(cqi_client: cqi.CQiClient):
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@cqi_over_socketio
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def cqi_disconnect(cqi_client: cqi.CQiClient):
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cqi_status = cqi_client.disconnect()
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payload = {'code': cqi_status,
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'msg': cqi.api.specification.lookup[cqi_status]}
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payload = {'code': cqi_status.code,
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'msg': cqi_status.__class__.__name__}
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return {'code': 200, 'msg': 'OK', 'payload': payload}
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@ -38,6 +38,6 @@ def cqi_disconnect(cqi_client: cqi.CQiClient):
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@cqi_over_socketio
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def cqi_ping(cqi_client: cqi.CQiClient):
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cqi_status = cqi_client.ping()
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payload = {'code': cqi_status,
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'msg': cqi.api.specification.lookup[cqi_status]}
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payload = {'code': cqi_status.code,
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'msg': cqi_status.__class__.__name__}
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return {'code': 200, 'msg': 'OK', 'payload': payload}
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@ -16,8 +16,8 @@ from .utils import cqi_over_socketio, lookups_by_cpos
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def cqi_corpora_corpus_drop(cqi_client: cqi.CQiClient, corpus_name: str):
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cqi_corpus = cqi_client.corpora.get(corpus_name)
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cqi_status = cqi_corpus.drop()
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payload = {'code': cqi_status,
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'msg': cqi.api.specification.lookup[cqi_status]}
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payload = {'code': cqi_status.code,
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'msg': cqi_status.__class__.__name__}
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return {'code': 200, 'msg': 'OK', 'payload': payload}
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@ -27,8 +27,8 @@ def cqi_corpora_corpus_drop(cqi_client: cqi.CQiClient, corpus_name: str):
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def cqi_corpora_corpus_query(cqi_client: cqi.CQiClient, corpus_name: str, subcorpus_name: str, query: str): # noqa
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cqi_corpus = cqi_client.corpora.get(corpus_name)
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cqi_status = cqi_corpus.query(subcorpus_name, query)
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payload = {'code': cqi_status,
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'msg': cqi.api.specification.lookup[cqi_status]}
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payload = {'code': cqi_status.code,
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'msg': cqi_status.__class__.__name__}
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return {'code': 200, 'msg': 'OK', 'payload': payload}
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@ -50,177 +50,186 @@ def cqi_corpora_corpus_update_db(cqi_client: cqi.CQiClient, corpus_name: str):
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@cqi_over_socketio
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def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_name: str):
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corpus = cqi_client.corpora.get(corpus_name)
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# s_attrs = [x for x in corpus.structural_attributes.list() if not x.has_values]
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# p_attrs = corpus.positional_attributes.list()
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# payload = {
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# 's_attrs': {},
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# 'p_attrs': {},
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# 'values': {
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# 's_attrs': {},
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# 'p_attrs': {}
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# }
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# }
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# for s_attr in s_attrs:
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# s_attr_lbound, s_attr_rbound = s_attr.cpos_by_id(text_id)
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# s_attr_cpos_range = range(s_attr_lbound, s_attr_rbound + 1)
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# payload['text']['lexicon'][text_id] = {
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# 's_attrs': [s_attr_lbound, s_attr_rbound],
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# 'counts': {
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# 'token': s_attr_rbound - s_attr_lbound + 1
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# },
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# 'freqs': {
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# p_attr.name: dict(Counter(p_attr.ids_by_cpos(list(s_attr_cpos_range))))
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# for p_attr in p_attrs
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# }
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# }
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# for p_attr in p_attrs:
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# payload['p_attrs'] = dict(
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# )
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# payload['values']['p_attrs'] = dict(
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# zip(
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# range(0, p_attr.lexicon_size),
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# p_attr.values_by_ids(list(range(0, p_attr.lexicon_size)))
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# )
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# )
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text = corpus.structural_attributes.get('text')
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text_value_names = []
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text_values = []
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for text_sub_attr in corpus.structural_attributes.list(filters={'part_of': text}):
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text_value_names.append(text_sub_attr.name[(len(text.name) + 1):])
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text_values.append(text_sub_attr.values_by_ids(list(range(0, text.size))))
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s = corpus.structural_attributes.get('s')
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ent = corpus.structural_attributes.get('ent')
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ent_value_names = []
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ent_values = []
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for ent_sub_attr in corpus.structural_attributes.list(filters={'part_of': ent}):
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ent_value_names.append(ent_sub_attr.name[(len(ent.name) + 1):])
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ent_values.append(ent_sub_attr.values_by_ids(list(range(0, ent.size))))
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word = corpus.positional_attributes.get('word')
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lemma = corpus.positional_attributes.get('lemma')
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pos = corpus.positional_attributes.get('pos')
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simple_pos = corpus.positional_attributes.get('simple_pos')
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payload = {}
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payload['corpus'] = {'lexicon': {}, 'values': []}
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payload['corpus']['lexicon'][0] = {
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'bounds': [0, corpus.size - 1],
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'counts': {
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'text': text.size,
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's': s.size,
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'ent': ent.size,
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'token': corpus.size
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payload = {
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'corpus': {
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'bounds': [0, corpus.size - 1],
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'counts': {},
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'freqs': {}
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},
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'freqs': {
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'word': dict(
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zip(
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range(0, word.lexicon_size),
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word.freqs_by_ids(list(range(0, word.lexicon_size)))
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)
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),
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'lemma': dict(
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zip(
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range(0, lemma.lexicon_size),
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lemma.freqs_by_ids(list(range(0, lemma.lexicon_size)))
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)
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),
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'pos': dict(
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zip(
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range(0, pos.lexicon_size),
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pos.freqs_by_ids(list(range(0, pos.lexicon_size)))
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)
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),
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'simple_pos': dict(
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zip(
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range(0, simple_pos.lexicon_size),
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simple_pos.freqs_by_ids(list(range(0, simple_pos.lexicon_size)))
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)
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)
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}
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'p_attrs': {},
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's_attrs': {},
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'values': {'p_attrs': {}, 's_attrs': {}}
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}
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payload['text'] = {'lexicon': {}, 'values': None}
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for text_id in range(0, text.size):
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text_lbound, text_rbound = text.cpos_by_id(text_id)
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text_cpos_range = range(text_lbound, text_rbound + 1)
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text_s_ids = s.ids_by_cpos(list(text_cpos_range))
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text_ent_ids = ent.ids_by_cpos(list(text_cpos_range))
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payload['text']['lexicon'][text_id] = {
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'bounds': [text_lbound, text_rbound],
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'counts': {
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's': len([x for x in text_s_ids if x != -1]),
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'ent': len([x for x in text_ent_ids if x != -1]),
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'token': text_rbound - text_lbound + 1
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},
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'freqs': {
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'word': dict(
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Counter(word.ids_by_cpos(list(text_cpos_range)))
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),
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'lemma': dict(
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Counter(lemma.ids_by_cpos(list(text_cpos_range)))
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),
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'pos': dict(
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Counter(pos.ids_by_cpos(list(text_cpos_range)))
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),
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'simple_pos': dict(
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Counter(simple_pos.ids_by_cpos(list(text_cpos_range)))
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)
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}
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}
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payload['text']['values'] = text_value_names
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payload['s'] = {'lexicon': {}, 'values': None}
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for s_id in range(0, s.size):
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payload['s']['lexicon'][s_id] = {
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# 'bounds': s.cpos_by_id(s_id)
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}
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payload['s']['values'] = [
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sub_attr.name[(len(s.name) + 1):]
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for sub_attr in corpus.structural_attributes.list(filters={'part_of': s})
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]
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payload['ent'] = {'lexicon': {}, 'values': None}
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for ent_id in range(0, ent.size):
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payload['ent']['lexicon'][ent_id] = {
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# 'bounds': ent.cpos_by_id(ent_id)
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}
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payload['ent']['values'] = ent_value_names
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payload['lookups'] = {
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'corpus': {},
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'text': {
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text_id: {
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text_value_name: text_values[text_value_name_idx][text_id_idx]
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for text_value_name_idx, text_value_name in enumerate(text_value_names)
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} for text_id_idx, text_id in enumerate(range(0, text.size))
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},
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's': {},
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'ent': {
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ent_id: {
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ent_value_name: ent_values[ent_value_name_idx][ent_id_idx]
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for ent_value_name_idx, ent_value_name in enumerate(ent_value_names)
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} for ent_id_idx, ent_id in enumerate(range(0, ent.size))
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},
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'word': dict(
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for p_attr in corpus.positional_attributes.list():
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payload['corpus']['freqs'][p_attr.name] = dict(
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zip(
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range(0, word.lexicon_size),
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word.values_by_ids(list(range(0, word.lexicon_size)))
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)
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),
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'lemma': dict(
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zip(
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range(0, lemma.lexicon_size),
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lemma.values_by_ids(list(range(0, lemma.lexicon_size)))
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)
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),
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'pos': dict(
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zip(
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range(0, pos.lexicon_size),
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pos.values_by_ids(list(range(0, pos.lexicon_size)))
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)
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),
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'simple_pos': dict(
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zip(
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range(0, simple_pos.lexicon_size),
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simple_pos.values_by_ids(list(range(0, simple_pos.lexicon_size)))
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range(0, p_attr.lexicon_size),
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p_attr.freqs_by_ids(list(range(0, p_attr.lexicon_size)))
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)
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)
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}
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payload['p_attrs'][p_attr.name] = dict(
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zip(
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range(0, corpus.size),
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p_attr.ids_by_cpos(list(range(0, corpus.size)))
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)
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)
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payload['values']['p_attrs'][p_attr.name] = dict(
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zip(
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range(0, p_attr.lexicon_size),
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p_attr.values_by_ids(list(range(0, p_attr.lexicon_size)))
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)
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)
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s = corpus.structural_attributes.get('s')
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ent = corpus.structural_attributes.get('ent')
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for s_attr in corpus.structural_attributes.list():
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if s_attr.has_values:
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continue
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payload['corpus']['counts'][s_attr.name] = s_attr.size
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payload['s_attrs'][s_attr.name] = {'lexicon': {}, 'values': []}
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for id in range(0, s_attr.size):
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payload['s_attrs'][s_attr.name]['lexicon'][id] = {}
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if s_attr.name != 'text':
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continue
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lbound, rbound = s_attr.cpos_by_id(id)
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payload['s_attrs'][s_attr.name]['lexicon'][id]['bounds'] = [lbound, rbound]
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cpos_range = range(lbound, rbound + 1)
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payload['s_attrs'][s_attr.name]['lexicon'][id]['counts'] = {}
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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})
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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})
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payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['token'] = rbound - lbound + 1
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payload['s_attrs'][s_attr.name]['lexicon'][id]['freqs'] = {}
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for p_attr in corpus.positional_attributes.list():
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payload['s_attrs'][s_attr.name]['lexicon'][id]['freqs'][p_attr.name] = dict(Counter(p_attr.ids_by_cpos(list(cpos_range))))
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# for s_attr in s_attrs:
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# payload['s_attrs'][s_attr.name] = {'lexicon': {}, 'values': []}
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# payload['values']['s_attrs'][s_attr.name] = {}
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# for id in range(0, s_attr.size):
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# payload['s_attrs'][s_attr.name]['lexicon'][id] = {}
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# if s_attr.name != 'text':
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# continue
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# lbound, rbound = s_attr.cpos_by_id(id)
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# cpos_range = range(lbound, rbound + 1)
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# # s_ids
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# payload['s_attrs'][s_attr.name]['lexicon'][id]['bounds'] = [lbound, rbound]
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# payload['s_attrs'][s_attr.name]['lexicon'][id]['counts'] = {}
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# payload['s_attrs'][s_attr.name]['lexicon'][id]['counts']['token'] = rbound - lbound + 1
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# payload['s_attrs'][s_attr.name]['lexicon'][id]['freqs'] = {
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# p_attr.name: dict(Counter(p_attr.ids_by_cpos(list(cpos_range))))
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# for p_attr in p_attrs
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# }
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# for sub_attr in corpus.structural_attributes.list(filters={'part_of': s_attr}):
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# payload['s_attrs'][s_attr.name]['values'].append(sub_attr.name[(len(s_attr.name) + 1):])
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# payload['values']['s_attrs'][s_attr.name][sub_attr.name[(len(s_attr.name) + 1):]] = dict(
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# zip(
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# range(0, sub_attr.size),
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# sub_attr.values_by_ids(list(range(0, sub_attr.size)))
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# )
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# )
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# text = corpus.structural_attributes.get('text')
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# text = corpus.structural_attributes.get('text')
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# text_value_names = []
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# text_values = []
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# for text_sub_attr in corpus.structural_attributes.list(filters={'part_of': text}):
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# text_value_names.append(text_sub_attr.name[(len(text.name) + 1):])
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# text_values.append(text_sub_attr.values_by_ids(list(range(0, text.size))))
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# s = corpus.structural_attributes.get('s')
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# ent = corpus.structural_attributes.get('ent')
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# ent_value_names = []
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# ent_values = []
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# for ent_sub_attr in corpus.structural_attributes.list(filters={'part_of': ent}):
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# ent_value_names.append(ent_sub_attr.name[(len(ent.name) + 1):])
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# ent_values.append(ent_sub_attr.values_by_ids(list(range(0, ent.size))))
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# word = corpus.positional_attributes.get('word')
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# lemma = corpus.positional_attributes.get('lemma')
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# pos = corpus.positional_attributes.get('pos')
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# simple_pos = corpus.positional_attributes.get('simple_pos')
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# payload = {}
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# payload['text'] = {'lexicon': {}, 'values': None}
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# for text_id in range(0, text.size):
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# text_lbound, text_rbound = text.cpos_by_id(text_id)
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# text_cpos_range = range(text_lbound, text_rbound + 1)
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# text_s_ids = s.ids_by_cpos(list(text_cpos_range))
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# text_ent_ids = ent.ids_by_cpos(list(text_cpos_range))
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# payload['text']['lexicon'][text_id] = {
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# 'bounds': [text_lbound, text_rbound],
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# 'counts': {
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# 's': len([x for x in text_s_ids if x != -1]),
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# 'ent': len([x for x in text_ent_ids if x != -1]),
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# 'token': text_rbound - text_lbound + 1
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# },
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# 'freqs': {
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# 'word': dict(
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# Counter(word.ids_by_cpos(list(text_cpos_range)))
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# ),
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# 'lemma': dict(
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# Counter(lemma.ids_by_cpos(list(text_cpos_range)))
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# ),
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# 'pos': dict(
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# Counter(pos.ids_by_cpos(list(text_cpos_range)))
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# ),
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# 'simple_pos': dict(
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# Counter(simple_pos.ids_by_cpos(list(text_cpos_range)))
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# )
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# }
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# }
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# payload['text']['values'] = text_value_names
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# payload['s'] = {'lexicon': {}, 'values': None}
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# for s_id in range(0, s.size):
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# payload['s']['lexicon'][s_id] = {
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# # 'bounds': s.cpos_by_id(s_id)
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# }
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# payload['s']['values'] = [
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# sub_attr.name[(len(s.name) + 1):]
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# for sub_attr in corpus.structural_attributes.list(filters={'part_of': s})
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# ]
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# payload['ent'] = {'lexicon': {}, 'values': None}
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# for ent_id in range(0, ent.size):
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# payload['ent']['lexicon'][ent_id] = {
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# # 'bounds': ent.cpos_by_id(ent_id)
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# }
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# payload['ent']['values'] = ent_value_names
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# payload['lookups'] = {
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# 'corpus': {},
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# 'text': {
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# text_id: {
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# text_value_name: text_values[text_value_name_idx][text_id_idx]
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# for text_value_name_idx, text_value_name in enumerate(text_value_names)
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# } for text_id_idx, text_id in enumerate(range(0, text.size))
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# },
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# 's': {},
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# 'ent': {
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# 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}
|
||||
|
||||
|
||||
@ -32,8 +32,8 @@ def cqi_corpora_corpus_subcorpora_subcorpus_drop(cqi_client: cqi.CQiClient, corp
|
||||
cqi_corpus = cqi_client.corpora.get(corpus_name)
|
||||
cqi_subcorpus = cqi_corpus.subcorpora.get(subcorpus_name)
|
||||
cqi_status = cqi_subcorpus.drop()
|
||||
payload = {'code': cqi_status,
|
||||
'msg': cqi.api.specification.lookup[cqi_status]}
|
||||
payload = {'code': cqi_status.code,
|
||||
'msg': cqi_status.__class__.__name__}
|
||||
return {'code': 200, 'msg': 'OK', 'payload': payload}
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user