Fixes #153 , Adds validation for feedbackparam

backend/core/serializers.py

@@ -1,3 +1,4 @@
+from django.conf import settings
 from login.models import OsmUser
 from rest_framework import serializers
 from rest_framework_gis.serializers import (
@@ -164,18 +165,54 @@ class FeedbackParamSerializer(serializers.Serializer):
     training_id = serializers.IntegerField(required=True)
     epochs = serializers.IntegerField(required=False)
     batch_size = serializers.IntegerField(required=False)
-    zoom_level = serializers.ListField(required=False)
+    zoom_level = serializers.ListField(child=serializers.IntegerField(), required=False)
+
+    def validate_training_id(self, value):
+        try:
+            Training.objects.get(id=value)
+        except Training.DoesNotExist:
+            raise serializers.ValidationError("Training doesn't exist")
+
+        return value
 
     def validate(self, data):
-        """
-        Check supplied data
-        """
+        training_id = data.get("training_id")
+
+        try:
+            fd_aois = FeedbackAOI.objects.filter(training=training_id)
+        except FeedbackAOI.DoesNotExist:
+            raise serializers.ValidationError(
+                "No feedback AOI is associated with Training"
+            )
+
+        if fd_aois.filter(
+            label_status=FeedbackAOI.DownloadStatus.NOT_DOWNLOADED
+        ).exists():
+            raise serializers.ValidationError(
+                "Not all AOIs have their labels downloaded"
+            )
+
+        if "epochs" in data and (
+            data["epochs"] > settings.EPOCHS_LIMIT or data["epochs"] <= 0
+        ):
+            raise serializers.ValidationError(
+                f"Epochs should be 1 - {settings.EPOCHS_LIMIT} on this server"
+            )
+
+        if "batch_size" in data and (
+            data["batch_size"] > settings.BATCH_SIZE_LIMIT or data["batch_size"] <= 0
+        ):
+            raise serializers.ValidationError(
+                f"Batch size should be 1 - {settings.BATCH_SIZE_LIMIT} on this server"
+            )
+
         if "zoom_level" in data:
-            for i in data["zoom_level"]:
-                if int(i) < 19 or int(i) > 21:
+            for zoom in data["zoom_level"]:
+                if zoom < 19 or zoom > 21:
                     raise serializers.ValidationError(
-                        "Zoom level Supported between 19-21"
+                        "Zoom level must be between 19 and 21"
                     )
+
         return data
 
 

backend/core/views.py

@@ -425,7 +425,8 @@ class FeedbackView(APIView):
     )
     def post(self, request, *args, **kwargs):
         res_serializer = FeedbackParamSerializer(data=request.data)
-        if res_serializer.is_valid(raise_exception=True):
+
+        if res_serializer.is_valid():
             deserialized_data = res_serializer.data
             training_id = deserialized_data["training_id"]
             training_instance = Training.objects.get(id=training_id)
@@ -461,6 +462,8 @@ def post(self, request, *args, **kwargs):
             print(f"Saved Feedback train model request to queue with id {task.id}")
             return HttpResponse(status=200)
 
+        return Response(res_serializer.errors, status=status.HTTP_400_BAD_REQUEST)
+
 
 DEFAULT_TILE_SIZE = 256
 
@@ -624,7 +627,7 @@ def get(self, request, aoi_id: int):
         # Convert the polygon field to GPX format
         geom_json = json.loads(aoi.geom.json)
         # Create a new GPX object
-        gpx_xml=gpx_generator(geom_json)
+        gpx_xml = gpx_generator(geom_json)
         return HttpResponse(gpx_xml, content_type="application/xml")
 
 
@@ -634,11 +637,10 @@ def get(self, request, feedback_aoi_id: int):
         # Convert the polygon field to GPX format
         geom_json = json.loads(aoi.geom.json)
         # Create a new GPX object
-        gpx_xml=gpx_generator(geom_json)
+        gpx_xml = gpx_generator(geom_json)
         return HttpResponse(gpx_xml, content_type="application/xml")
 
 
-
 class TrainingWorkspaceView(APIView):
     def get(self, request, lookup_dir=None):
         """List out status of training workspace : size in bytes"""