Consolidate miscellaneous variables in json data

daqviewer/daqviewer.py

@@ -103,12 +103,12 @@ def parse_contents(contents, filename):
         # Add spectral values to dataframe
         stats.loc[col, keys] = values
 
+    info = {'filename': filename, 'instrument type': inst_type}
     json_data = {}
+    json_data['info'] = info
     json_data['timeseries'] = df.to_json(orient='table')
     json_data['spectrum'] = dfs.to_json(orient='table')
     json_data['statistics'] = stats.to_json(orient='table')
-    json_data['filename'] = filename
-    json_data['instrument type'] = inst_type
 
     return json.dumps(json_data)
 
@@ -128,14 +128,14 @@ def read_json_data(json_data):
     if json_data is None:
         return html.Div([])
 
+    info = json.loads(json_data)['info']
     df = pd.read_json(json.loads(json_data)['timeseries'], orient='table')
     ts = []
     for col in df.columns:
         trace = go.Scatter(x=df.index, y=df[col], name=col, opacity=0.8)
         ts.append(trace)
 
-    filename = json.loads(json_data)['filename']
-    layout = {'title': filename, 'xaxis': {'rangeslider': {}}}
+    layout = {'title': info['filename'], 'xaxis': {'rangeslider': {}}}
     graph_timeseries = dcc.Graph(id='time-series',
                                  figure={
                                      'data': ts,
@@ -205,7 +205,7 @@ def read_json_data(json_data):
         },
     )
 
-    if json.loads(json_data)['instrument type'] == 'WP':
+    if info['instrument type'] == 'WP':
         elements = html.Div([
             graph_timeseries,
             html.Div([
@@ -224,9 +224,6 @@ def read_json_data(json_data):
     return elements
 
 
-#####
-
-
 def main():
     port = 8050
     wb.open('http://localhost:{}'.format(port))