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.

farm_ai_assistant/views.py

@@ -0,0 +1,77 @@
+"""
+Farm AI Assistant 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 on POST so frontend can call 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 CHAT_RESPONSE_DATA, CONTEXT_RESPONSE_DATA
+
+
+class ContextView(View):
+    """
+    GET endpoint for farm context (Farm AI Assistant bar).
+
+    Purpose:
+        Returns static farm context for the Farm AI Assistant UI bar:
+        soilType, waterEC, selectedCrop, growthStage, lastIrrigationStatus.
+        Used when loading the farm-ai-assistant page to populate the context strip.
+
+    Input parameters:
+        None. Query parameters, if sent, are not read or used.
+
+    Response structure:
+        - status: string, always "success".
+        - data: object with keys soilType, waterEC, selectedCrop,
+          growthStage, lastIrrigationStatus (all strings).
+
+    No processing or validation is performed on inputs.
+    """
+
+    def get(self, request):
+        return JsonResponse(
+            {"status": "success", "data": CONTEXT_RESPONSE_DATA},
+            status=200,
+        )
+
+
+@method_decorator(csrf_exempt, name="dispatch")
+class ChatView(View):
+    """
+    POST endpoint for Farm AI Assistant chat (send message, get structured reply).
+
+    Purpose:
+        Accepts user message (and optional images, conversation_id, farm_context)
+        and returns a static structured reply with sections (recommendation,
+        list, warning) for rendering as cards in the chat UI. No AI or
+        computation; response is fixed.
+
+    Input parameters (body, JSON; all optional except conceptually content):
+        - content: string. Location: body. User message text. Not read or used.
+        - images: array of strings (URLs or base64). Location: body. Not read.
+        - conversation_id: string. Location: body. Conversation id. Not used.
+        - farm_context: object (soilType, waterEC, selectedCrop, growthStage,
+          lastIrrigationStatus). Location: body. Not read or used.
+
+    Response structure:
+        - status: string, always "success".
+        - data: object with message_id, conversation_id, content (string),
+          sections (array of section objects). Each section has type, title,
+          icon, and type-specific fields (content, items, frequency, amount,
+          timing, expandableExplanation).
+
+    No processing or validation is performed on inputs. Input values are
+    not used in the response.
+    """
+
+    def post(self, request):
+        return JsonResponse(
+            {"status": "success", "data": CHAT_RESPONSE_DATA},
+            status=200,
+        )