87 lines
3.2 KiB
Python
87 lines
3.2 KiB
Python
"""
|
|
Farm AI Assistant API views.
|
|
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.
|
|
"""
|
|
|
|
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 config.swagger import status_response
|
|
from .mock_data import CHAT_RESPONSE_DATA, CONTEXT_RESPONSE_DATA
|
|
|
|
|
|
class ContextView(APIView):
|
|
"""
|
|
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.
|
|
"""
|
|
|
|
@extend_schema(
|
|
tags=["Farm AI Assistant"],
|
|
responses={200: status_response("FarmAiAssistantContextResponse", data=serializers.JSONField())},
|
|
)
|
|
def get(self, request):
|
|
return Response(
|
|
{"status": "success", "data": CONTEXT_RESPONSE_DATA},
|
|
status=status.HTTP_200_OK,
|
|
)
|
|
|
|
|
|
class ChatView(APIView):
|
|
"""
|
|
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.
|
|
"""
|
|
|
|
@extend_schema(
|
|
tags=["Farm AI Assistant"],
|
|
request=OpenApiTypes.OBJECT,
|
|
responses={200: status_response("FarmAiAssistantChatResponse", data=serializers.JSONField())},
|
|
)
|
|
def post(self, request):
|
|
return Response(
|
|
{"status": "success", "data": CHAT_RESPONSE_DATA},
|
|
status=status.HTTP_200_OK,
|
|
)
|