Remove display of graphs of word is not found

src/app.py

@@ -57,6 +57,11 @@
     dcc.Store(
         id='submitted-word',
         storage_type='session'
+    ),
+
+    dcc.Store(
+        id='word-exists',
+        storage_type='session'
     )
 
 ], fluid=True)
@@ -69,7 +74,7 @@
 callbacks.home.export.callbacks.init_callback(app, API_URL)
 
 callbacks.home.scroll_callbacks.init_callback(app)
-callbacks.home.home_callbacks.init_callback(app)
+callbacks.home.home_callbacks.init_callback(app, API_URL)
 
 if __name__ == '__main__':
     app.run_server(port='8049', debug=True)

src/callbacks/home/embeddings/callbacks.py

@@ -10,10 +10,11 @@
 def init_callback(app, API_URL):
     @app.callback(
         Output('embeddings', 'figure'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def display_embeddings(word):
-        if word:
+    def display_embeddings(word, word_exists):
+        if word and word_exists:
             df = get_word_embeddings_db(API_URL, word)
             sense_id_list = []
 

src/callbacks/home/export/callbacks.py

@@ -1,4 +1,4 @@
-from dash import Input, Output, dcc
+from dash import Input, Output, State, dcc
 from plotly.graph_objs import *
 from dash.exceptions import PreventUpdate
 from ..api_query import *
@@ -8,8 +8,8 @@
 def init_callback(app, API_URL):
     @app.callback(
         Output('download-embeddings', 'data'),
-        Input('submitted-word', 'data'),
-        Input('export-embeddings', 'n_clicks')
+        State('submitted-word', 'data'),
+        Input('export-embeddings', 'n_clicks'),
     )
     def download_lift_over_table_to_csv(word, export_embeddings):
         if export_embeddings >= 1:

src/callbacks/home/home_callbacks.py

@@ -1,18 +1,32 @@
 from dash import Input, Output, State
 from dash.exceptions import PreventUpdate
+from .api_query import *
 
-def init_callback(app):
+def init_callback(app, API_URL):
     @app.callback(
         Output('home-body-container', 'hidden'),
         Output('home-sidebar', 'hidden'),
         Output('submitted-word', 'data'),
+
+        Output('search-word-error', 'children'),
+        Output('search-word-error', 'hidden'),
+
+        Output('word-exists', 'data'),
+
         Input('search-word-submit-btn', 'n_clicks'),
         Input('search-word', 'n_submit'),
         State('search-word', 'value')
     )
     def submit_input(n_clicks, n_submit, word):
         if n_clicks >= 1 or n_submit >= 1:
-            return False, False, word.lower() 
+            if word:
+                df = get_word_db(API_URL, word)
+
+                if len(df) >= 1:
+                    return False, False, word.lower(), '', True, True
+
+                else: 
+                    return True, True, word.lower(), [f'No Word Found: {word}'], False, False
 
         raise PreventUpdate
 

src/callbacks/home/network/callbacks.py

@@ -9,20 +9,22 @@ def init_callback(app, API_URL):
     @app.callback(
         Output('communities-dropdown', 'options'),
         Output('communities-dropdown', 'value'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def populate_communities_dropdown(word):
-        if word:
+    def populate_communities_dropdown(word, word_exists):
+        if word and word_exists:
             return [{'label': 'Sense ' + str(i + 1), 'value': i} for i in range(get_num_senses(API_URL, word))], 0
 
         raise PreventUpdate
 
     @app.callback(
         Output('input-word-network', 'children'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def search_word(word):
-        if word:
+    def search_word(word, word_exists):
+        if word and word_exists:
             df = get_word_db(API_URL, word)
 
             if len(df) >= 1:
@@ -35,17 +37,21 @@ def search_word(word):
     @app.callback(
         Output('network-cooccurring-words', 'children'),
         Input('submitted-word', 'data'),
-        Input('communities-dropdown', 'value')
+        Input('communities-dropdown', 'value'),
+        Input('word-exists', 'data')
     )
-    def display_co_occurring_words(word, sense_id):
-        for entry in get_netsci_word(API_URL, word):
-            if entry['sense_id'] == f'ns_{word}_{sense_id}':
-                cooccurring_words = [html.Span(cooccurring_word, className='link-primary', style={'text-decoration': 'none'})
-                                     for cooccurring_word in entry['community']]
-
-                ret_val = []
-                for cooccurring_word in cooccurring_words:
-                    ret_val.append(cooccurring_word)
-                    ret_val.append(html.Span(' ', className='me-2'))
-
-                return ret_val
+    def display_co_occurring_words(word, sense_id, word_exists):
+        if word_exists:
+            for entry in get_netsci_word(API_URL, word):
+                if entry['sense_id'] == f'ns_{word}_{sense_id}':
+                    cooccurring_words = [html.Span(cooccurring_word, className='link-primary', style={'text-decoration': 'none'})
+                                        for cooccurring_word in entry['community']]
+
+                    ret_val = []
+                    for cooccurring_word in cooccurring_words:
+                        ret_val.append(cooccurring_word)
+                        ret_val.append(html.Span(' ', className='me-2'))
+
+                    return ret_val
+
+        raise PreventUpdate

src/callbacks/home/plot/callbacks.py

@@ -12,10 +12,11 @@
 def init_callback(app, API_URL):
     @app.callback(
         Output('word-plot-sense', 'children'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def display_word_in_the_sense_plot_description(word):
-        if word:
+    def display_word_in_the_sense_plot_description(word, word_exists):
+        if word and word_exists:
             return [
                 f' {word} ',
                 html.I(className='bi bi-info-circle'),
@@ -26,10 +27,11 @@ def display_word_in_the_sense_plot_description(word):
 
     @app.callback(
         Output('word-plot-source', 'children'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def display_word_in_the_source_plot_description(word):
-        if word:       
+    def display_word_in_the_source_plot_description(word, word_exists):
+        if word and word_exists:        
             return [
                 f' {word} ',
                 html.I(className='bi bi-info-circle'),
@@ -98,10 +100,11 @@ def display_word_tooltip_in_the_source_plot(source_n_clicks, sense_n_clicks, wor
     @app.callback(
         Output('sense-dropdown', 'options'),
         Output('sense-dropdown', 'value'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def display_sense_dropdown(word):
-        if word:
+    def display_sense_dropdown(word, word_exists):
+        if word and word_exists:
             df = get_word_db(API_URL, word)
 
             if len(df) >= 1:
@@ -135,11 +138,12 @@ def display_sense_dropdown(word):
     @app.callback(
         Output('sense-sample-sentence', 'children'),
         Input('sense-dropdown', 'value'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def plot_update_sample_sentence_base_on_sense(sense_value, word):
+    def plot_update_sample_sentence_base_on_sense(sense_value, word, word_exists):
 
-        if word and sense_value:
+        if word and sense_value and word_exists:
             df = get_word_db(API_URL, word)  # get_definition_list(word)
 
             if len(df) > 0:
@@ -181,10 +185,11 @@ def plot_update_sample_sentence_base_on_sense(sense_value, word):
     @app.callback(
         Output('graph-sense', 'figure'),
         Input('sense-dropdown', 'value'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def update_line_chart(sense_value, word):
-        if word:
+    def update_line_chart(sense_value, word, word_exists):
+        if word and word_exists:
             df = get_word_db(API_URL, word)
 
             pos = ''
@@ -219,10 +224,11 @@ def update_line_chart(sense_value, word):
     @app.callback(
         Output('source-dropdown', 'options'),
         Output('source-dropdown', 'value'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def display_source_dropdown(word):
-        if word:
+    def display_source_dropdown(word, word_exists):
+        if word and word_exists:
             df = get_word_db(API_URL, word)
 
             if len(df) >= 1:
@@ -244,10 +250,11 @@ def display_source_dropdown(word):
     @app.callback(
         Output('graph-source', 'figure'),
         Input('source-dropdown', 'value'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def update_line_chart(selected_source, word):
-        if word:
+    def update_line_chart(selected_source, word, word_exists):
+        if word and word_exists:
             df = get_word_db(API_URL, word)
             pos = ''
             if 'pos' in df.columns:

src/callbacks/home/sense/callbacks.py

@@ -1,4 +1,4 @@
-from dash import Input, Output, html, MATCH
+from dash import Input, Output, State, html, MATCH
 from plotly.graph_objs import *
 from dash.exceptions import PreventUpdate
 from ..api_query import *
@@ -10,25 +10,22 @@
 def init_callback(app, API_URL):
     @app.callback(
         Output('senses-word', 'children'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def search_word(word):
-        if word:
-            df = get_word_db(API_URL, word)
-
-            if len(df) >= 1:
-                return word
-
-            return [f'No Word Found: {word}']
+    def search_word(word, word_exists):
+        if word and word_exists:
+            return word
 
         raise PreventUpdate
 
     @app.callback(
         Output('senses-container', 'children'),
-        Input('submitted-word', 'data')
+        Input('submitted-word', 'data'),
+        Input('word-exists', 'data')
     )
-    def get_senses(word):
-        if word:
+    def get_senses(word, word_exists):
+        if word and word_exists:
             df = get_word_db(API_URL, word)
 
             if len(df) >= 1:

src/pages/home.py

@@ -258,25 +258,29 @@
         dbc.Container([
             input_word,
 
-            html.Div(
-                id='home-body-container',
-                children=[
-                    senses,
-                    html.Br(id='plot-sense-row'),
-                    plot_by_sense,
-                    html.Br(id='plot-source-row'),
-                    html.Br(),
-                    plot_by_source,
-                    html.Br(id='embeddings-row'),
-                    html.Br(),
-                    embeddings,
-                    html.Br(id='network-row'),
-                    network,
-                    html.Br(id='export-row'),
-                    export
-                ],
-                hidden=True
-            ),
+            dcc.Loading([
+                html.Div(id='search-word-error', style={'paddingTop': '10em'}, hidden=True), 
+
+                html.Div(
+                    id='home-body-container',
+                    children=[
+                        senses,
+                        html.Br(id='plot-sense-row'),
+                        plot_by_sense,
+                        html.Br(id='plot-source-row'),
+                        html.Br(),
+                        plot_by_source,
+                        html.Br(id='embeddings-row'),
+                        html.Br(),
+                        embeddings,
+                        html.Br(id='network-row'),
+                        network,
+                        html.Br(id='export-row'),
+                        export
+                    ],
+                    hidden=True
+                ),
+            ])
         ])
     ),