tried to get figure

src/data-hub/semantic-linking-microservice/app/multilayer/main.py

 
 
 from visualization.multilayer import *
-from visualization.colors import all_color_names,colors_default
 from core import multinet
-import networkx as nx
-
-# generate the data
-import datagenerator
 
 
 ## you can try the default visualization options --- this is the simplest option/

src/data-hub/semantic-linking-microservice/app/rest/multilayer.py

+from flask import request, Response
+from initialdemo.NodeInfo import NodeInfo
+import pickle as json
+
+import io
+from flask import request, Response
+from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+
+from visualization.multilayer import *
+from core import multinet
+
+def get():
+    ## multilayer
+    multilayer_network = multinet.multi_layer_network().load_network("/home/zarah/Downloads/multigraph2.gpickle", directed=False, input_type="gpickle_biomine")
+    multilayer_network.basic_stats() ## check core imports
+    multilayer_network.visualize_network(style="diagonal")
+
+    import visualization.multilayer as m
+    fig = m.main_figure
+
+    output = io.BytesIO()
+    FigureCanvas(fig).print_png(output)
+    return Response(output.getvalue(), mimetype="image/png")
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