UPDATE

pest_detection/mock_data.py

@@ -1,6 +1,6 @@
 """
 Static mock data for Pest Detection API.
-No database, no dynamic values. Used for analyze endpoint response.
+No database, no dynamic values. Used for analyze and risk-summary endpoint responses.
 """
 
 ANALYZE_RESPONSE_DATA = {
@@ -9,3 +9,46 @@ ANALYZE_RESPONSE_DATA = {
     "description": "حشرات کوچک مکنده شیره که باعث پیچ خوردگی برگ می‌شوند.",
     "treatment": "یک بار در هفته از اسپری روغن نیم استفاده کنید.",
 }
+
+RISK_SUMMARY_RESPONSE_DATA = {
+    "disease_risk": {
+        "id": "disease_risk",
+        "title": "ریسک بیماری",
+        "subtitle": "۷ روز اخیر",
+        "stats": "پایین",
+        "avatarColor": "success",
+        "avatarIcon": "tabler-bug",
+        "chipText": "5%",
+        "chipColor": "success",
+        "details": {
+            "risk_level": "low",
+            "risk_percentage": 5,
+            "detected_diseases": [],
+            "last_assessed_at": "2025-07-10T06:00:00Z",
+            "recommendation": "شرایط فعلی مناسب است. پایش هفتگی توصیه می‌شود.",
+        },
+    },
+    "pest_risk": {
+        "id": "pest_risk",
+        "title": "ریسک آفات",
+        "subtitle": "پیش‌بینی هوشمند",
+        "stats": "15%",
+        "avatarColor": "warning",
+        "avatarIcon": "tabler-bug-off",
+        "chipText": "تحت نظر",
+        "chipColor": "warning",
+        "details": {
+            "risk_level": "moderate",
+            "risk_percentage": 15,
+            "detected_pests": [
+                {
+                    "name": "شپشک",
+                    "confidence": 0.72,
+                    "affected_area_percent": 8,
+                }
+            ],
+            "last_assessed_at": "2025-07-10T06:00:00Z",
+            "recommendation": "بازرسی مزرعه هر ۳ روز یک بار انجام شود. در صورت افزایش، اسپری روغن نیم توصیه می‌شود.",
+        },
+    },
+}

pest_detection/serializers.py

@@ -0,0 +1,27 @@
+from rest_framework import serializers
+
+
+class RiskDetailsSerializer(serializers.Serializer):
+    risk_level = serializers.CharField(required=False, allow_blank=True)
+    risk_percentage = serializers.IntegerField(required=False)
+    detected_diseases = serializers.ListField(child=serializers.DictField(), required=False)
+    detected_pests = serializers.ListField(child=serializers.DictField(), required=False)
+    last_assessed_at = serializers.CharField(required=False, allow_blank=True)
+    recommendation = serializers.CharField(required=False, allow_blank=True)
+
+
+class RiskCardSerializer(serializers.Serializer):
+    id = serializers.CharField(required=False, allow_blank=True)
+    title = serializers.CharField(required=False, allow_blank=True)
+    subtitle = serializers.CharField(required=False, allow_blank=True)
+    stats = serializers.CharField(required=False, allow_blank=True)
+    avatarColor = serializers.CharField(required=False, allow_blank=True)
+    avatarIcon = serializers.CharField(required=False, allow_blank=True)
+    chipText = serializers.CharField(required=False, allow_blank=True)
+    chipColor = serializers.CharField(required=False, allow_blank=True)
+    details = RiskDetailsSerializer(required=False)
+
+
+class RiskSummaryDataSerializer(serializers.Serializer):
+    disease_risk = RiskCardSerializer(required=False)
+    pest_risk = RiskCardSerializer(required=False)

pest_detection/urls.py

@@ -1,7 +1,8 @@
 from django.urls import path
 
-from .views import AnalyzeView
+from .views import AnalyzeView, RiskSummaryView
 
 urlpatterns = [
     path("analyze/", AnalyzeView.as_view(), name="pest-detection-analyze"),
+    path("risk-summary/", RiskSummaryView.as_view(), name="pest-detection-risk-summary"),
 ]

pest_detection/views.py

@@ -9,10 +9,12 @@ from rest_framework import serializers, status
 from rest_framework.response import Response
 from rest_framework.views import APIView
 from drf_spectacular.types import OpenApiTypes
-from drf_spectacular.utils import extend_schema
+from drf_spectacular.utils import OpenApiParameter, extend_schema
 
 from config.swagger import status_response
+from external_api_adapter import request as external_api_request
 from .mock_data import ANALYZE_RESPONSE_DATA
+from .serializers import RiskSummaryDataSerializer
 
 
 class AnalyzeView(APIView):
@@ -46,3 +48,54 @@ class AnalyzeView(APIView):
             {"status": "success", "data": ANALYZE_RESPONSE_DATA},
             status=status.HTTP_200_OK,
         )
+
+
+class RiskSummaryView(APIView):
+    """
+    GET endpoint for combined pest and disease risk summary.
+
+    Purpose:
+        Returns disease_risk and pest_risk card data for the farm dashboard.
+        Calls the AI external adapter for live/mock risk assessment results.
+
+    Input parameters:
+        - farm_uuid (query, optional): UUID of the farm to assess.
+
+    Response structure:
+        - status: string, always "success".
+        - data: object with keys disease_risk and pest_risk,
+          each containing card display fields (id, title, subtitle, stats,
+          avatarColor, avatarIcon, chipText, chipColor) and a details object.
+    """
+
+    @extend_schema(
+        tags=["Pest Detection"],
+        parameters=[
+            OpenApiParameter(
+                name="farm_uuid",
+                type=OpenApiTypes.UUID,
+                location=OpenApiParameter.QUERY,
+                required=False,
+                description="UUID of the farm for risk assessment.",
+                default="11111111-1111-1111-1111-111111111111"),
+        ],
+        responses={200: status_response("PestDetectionRiskSummaryResponse", data=RiskSummaryDataSerializer())},
+    )
+    def get(self, request):
+        farm_uuid = request.query_params.get("farm_uuid")
+        query = {"farm_uuid": str(farm_uuid)} if farm_uuid else {}
+
+        adapter_response = external_api_request(
+            "ai",
+            "/pest-detection/risk-summary",
+            method="GET",
+            query=query,
+        )
+
+        response_data = adapter_response.data if isinstance(adapter_response.data, dict) else {}
+        result = response_data.get("result", response_data.get("data", response_data))
+
+        return Response(
+            {"status": "success", "data": result},
+            status=status.HTTP_200_OK,
+        )