Remove debug code

app/corpora/cqi_over_socketio/cqi_corpora_corpus.py

@@ -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],
+            'bounds': [0, cqi_corpus.size - 1],
-            'counts': {},
+            '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),
+                range(0, cqi_corpus.size),
-                p_attr.ids_by_cpos(list(range(0, 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')
+    for s_attr in cqi_s_attrs.values():
-    ent = corpus.structural_attributes.get('ent')
-    for s_attr in corpus.structural_attributes.list():
         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}
 
 

app/static/js/CorpusAnalysis/CorpusAnalysisApp.js

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