added multilayer result for querying

src/data-hub/semantic-linking-microservice/app/configs/swagger.yml

@@ -28,19 +28,33 @@ paths:
       responses:
         200:
           description: "Successful echo of request data"
-  /graphinfo:
+
+  /agi/multilayer/multilayer.png:
     get:
-        operationId: "rest.graphinfo.get"
-        tags:
-          - "GraphInfo"
-        summary: "Get info about clustered nodes"
-        description: "Returns multiple metrics for all nodes created by analyzing and clustering the blockchain traces"
-        parameters: []
-        responses:
-          200:
-            description: "Successful operation"
-            schema:
-              $ref: "#/definitions/NodeInfo"
+      operationId: "rest.multilayer.get_image"
+      tags:
+        - "Multilayer" 
+      summary: "Returning the multilayer created from AGI data"
+      parameters: []
+      produces:
+        - "image/png"
+      responses:
+        200:
+          description: "Successful echo of request data"
+
+  # /graphinfo:
+  #   get:
+  #       operationId: "rest.graphinfo.get"
+  #       tags:
+  #         - "GraphInfo"
+  #       summary: "Get info about clustered nodes"
+  #       description: "Returns multiple metrics for all nodes created by analyzing and clustering the blockchain traces"
+  #       parameters: []
+  #       responses:
+  #         200:
+  #           description: "Successful operation"
+  #           schema:
+  #             $ref: "#/definitions/NodeInfo"
 
 definitions:
   NodeInfo:

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

-from flask import request, Response
-from initialdemo.NodeInfo import NodeInfo
+from flask import request, Response, send_file
 import pickle as json
 
-import io
-from flask import request, Response
-from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+def get_image():
+    return send_file("multilayer.png", mimetype="image/png")
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-
-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")
\ No newline at end of file