Update Docker Compose ports to 8081 and add new apps and URL routes for crop zoning, plant simulator, pest detection, irrigation recommendation, fertilization recommendation, and farm AI assistant.

pest_detection/apps.py

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+from django.apps import AppConfig
+
+
+class PestDetectionConfig(AppConfig):
+    default_auto_field = "django.db.models.BigAutoField"
+    name = "pest_detection"
+    verbose_name = "Pest Detection"

pest_detection/mock_data.py

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+"""
+Static mock data for Pest Detection API.
+No database, no dynamic values. Used for analyze endpoint response.
+"""
+
+ANALYZE_RESPONSE_DATA = {
+    "pest": "شپشک",
+    "confidence": 92,
+    "description": "حشرات کوچک مکنده شیره که باعث پیچ خوردگی برگ می‌شوند.",
+    "treatment": "یک بار در هفته از اسپری روغن نیم استفاده کنید.",
+}

pest_detection/postman/pest_detection.json

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+{"info":{"name":"Pest Detection","schema":"https://schema.getpostman.com/json/collection/v2.1.0/collection.json","description":"Pest Detection API. POST analyze (optional body). Returns static pest result. No database."},"item":[{"name":"Analyze image (POST)","request":{"method":"POST","header":[{"key":"Content-Type","value":"application/json"}],"body":{"mode":"raw","raw":"{}"},"url":"{{baseUrl}}/api/pest-detection/analyze/","description":"POST with optional body (e.g. image reference). Returns static pest, confidence, description, treatment. Input not processed."},"response":[{"name":"Success","status":"OK","code":200,"body":"{\n  \"status\": \"success\",\n  \"data\": {\n    \"pest\": \"شپشک\",\n    \"confidence\": 92,\n    \"description\": \"حشرات کوچک مکنده شیره که باعث پیچ خوردگی برگ می‌شوند.\",\n    \"treatment\": \"یک بار در هفته از اسپری روغن نیم استفاده کنید.\"\n  }\n}"}]}],"variable":[{"key":"baseUrl","value":"http://localhost:8000"}]}

pest_detection/urls.py

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+from django.urls import path
+
+from .views import AnalyzeView
+
+urlpatterns = [
+    path("analyze/", AnalyzeView.as_view(), name="pest-detection-analyze"),
+]

pest_detection/views.py

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+"""
+Pest Detection API views.
+Plain Django only; no DRF. No database. All responses are static mock data.
+Response format: {"status": "success", "data": <payload>}. HTTP 200 only.
+No processing, validation, or use of input parameters in responses.
+CSRF exempt so frontend can call POST without token.
+"""
+
+from django.http import JsonResponse
+from django.utils.decorators import method_decorator
+from django.views import View
+from django.views.decorators.csrf import csrf_exempt
+
+from .mock_data import ANALYZE_RESPONSE_DATA
+
+
+@method_decorator(csrf_exempt, name="dispatch")
+class AnalyzeView(View):
+    """
+    POST endpoint for pest detection analysis.
+
+    Purpose:
+        Returns a static pest detection result (pest name, confidence,
+        description, treatment). Used when the user uploads a plant image
+        and requests analysis. No processing is performed on the request.
+
+    Input parameters:
+        - body (optional): JSON or form-data; may contain image or file.
+          Data type: object. Location: body. Not read or validated; not used in response.
+
+    Response structure:
+        - status: string, always "success".
+        - data: object with keys pest (string), confidence (number),
+          description (string), treatment (string).
+
+    No processing or validation is performed on inputs.
+    """
+
+    def post(self, request):
+        return JsonResponse(
+            {"status": "success", "data": ANALYZE_RESPONSE_DATA},
+            status=200,
+        )