Add more visualization data

app/corpora/cqi_over_socketio/cqi_corpora_corpus.py

@@ -50,9 +50,52 @@ def cqi_corpora_corpus_update_db(cqi_client: cqi.CQiClient, corpus_name: str):
 @cqi_over_socketio
 def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_name: str):
     corpus = cqi_client.corpora.get(corpus_name)
+    # s_attrs = [x for x in corpus.structural_attributes.list() if not x.has_values]
+    # p_attrs = corpus.positional_attributes.list()
+    # payload = {
+    #     's_attrs': {},
+    #     'p_attrs': {},
+    #     'values': {
+    #         's_attrs': {},
+    #         'p_attrs': {}
+    #     }
+    # }
+    # for s_attr in s_attrs:
+    #     s_attr_lbound, s_attr_rbound = s_attr.cpos_by_id(text_id)
+    #     s_attr_cpos_range = range(s_attr_lbound, s_attr_rbound + 1)
+    #     payload['text']['lexicon'][text_id] = {
+    #         's_attrs': [s_attr_lbound, s_attr_rbound],
+    #         'counts': {
+    #             'token': s_attr_rbound - s_attr_lbound + 1
+    #         },
+    #         'freqs': {
+    #             p_attr.name: dict(Counter(p_attr.ids_by_cpos(list(s_attr_cpos_range))))
+    #             for p_attr in p_attrs
+    #         }
+    #     }
+    # for p_attr in p_attrs:
+    #     payload['p_attrs'] = dict(
+
+    #     )
+    #     payload['values']['p_attrs'] = dict(
+    #         zip(
+    #             range(0, p_attr.lexicon_size),
+    #             p_attr.values_by_ids(list(range(0, p_attr.lexicon_size)))
+    #         )
+    #     )
     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')
@@ -122,10 +165,7 @@ def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_
                 )
             }
         }
-    payload['text']['values'] = [
+    payload['text']['values'] = text_value_names
-        sub_attr.name[(len(text.name) + 1):]
-        for sub_attr in corpus.structural_attributes.list(filters={'part_of': text})
-    ]
     payload['s'] = {'lexicon': {}, 'values': None}
     for s_id in range(0, s.size):
         payload['s']['lexicon'][s_id] = {
@@ -140,15 +180,22 @@ def cqi_corpora_corpus_get_visualization_data(cqi_client: cqi.CQiClient, corpus_
         payload['ent']['lexicon'][ent_id] = {
             # 'bounds': ent.cpos_by_id(ent_id)
         }
-    payload['ent']['values'] = [
+    payload['ent']['values'] = ent_value_names
-        sub_attr.name[(len(ent.name) + 1):]
-        for sub_attr in corpus.structural_attributes.list(filters={'part_of': ent})
-    ]
     payload['lookups'] = {
         'corpus': {},
-        'text': {},
+        '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': {
+            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),

app/static/js/CorpusAnalysis/CorpusAnalysisApp.js

@@ -34,6 +34,7 @@ class CorpusAnalysisApp {
       .then(
         cQiCorpus => {
           this.data.corpus = {o: cQiCorpus};
+          this.data.corpus.o.getVisualizationData().then(data => console.log(data));
           // this.data.corpus.o.getVisualizationData()
           //   .then(
           //     (visualizationData) => {