UPDATE

rag/services/fertilization.py

@@ -13,6 +13,7 @@ from typing import Any
 from django.apps import apps
 
 from farm_data.models import SensorData
+from farm_data.services import clone_snapshot_as_runtime_plant, get_farm_plant_snapshot_by_name
 from rag.api_provider import get_chat_client
 from rag.chat import (
     _complete_audit_log,
@@ -623,7 +624,7 @@ def get_fertilization_recommendation(
 
     sensor = (
         SensorData.objects.select_related("center_location")
-        .prefetch_related("plants")
+        .prefetch_related("plant_assignments__plant")
         .filter(farm_uuid=resolved_farm_uuid)
         .first()
     )
@@ -635,20 +636,14 @@ def get_fertilization_recommendation(
     resolved_growth_stage = plant_config.resolve_growth_stage(growth_stage)
 
     plant = None
-    if not resolved_plant_name and sensor is not None:
-        plant = sensor.plants.first()
-        if plant is not None:
-            resolved_plant_name = plant.name
-    elif resolved_plant_name:
-        if sensor is not None:
-            plant = sensor.plants.filter(name=resolved_plant_name).first()
-        if plant is None:
-            Plant = apps.get_model("plant", "Plant")
-            plant = Plant.objects.filter(name=resolved_plant_name).first()
-        if plant is None and sensor is not None:
-            plant = sensor.plants.first()
-        if plant is not None:
-            resolved_plant_name = plant.name
+    if sensor is not None:
+        selected_snapshot = get_farm_plant_snapshot_by_name(sensor, resolved_plant_name)
+        plant = clone_snapshot_as_runtime_plant(
+            selected_snapshot,
+            growth_stage=resolved_growth_stage,
+        )
+        if selected_snapshot is not None:
+            resolved_plant_name = selected_snapshot.name
 
     forecasts = []
     optimized_result = None

rag/services/irrigation.py

@@ -10,6 +10,10 @@ from django.apps import apps
 from django.db import transaction
 
 from farm_data.models import SensorData
+from farm_data.services import (
+    clone_snapshot_as_runtime_plant,
+    get_farm_plant_snapshot_by_name,
+)
 from irrigation.evapotranspiration import (
     calculate_forecast_water_needs,
     resolve_crop_profile,
@@ -372,7 +376,7 @@ def get_irrigation_recommendation(
 
     sensor = (
         SensorData.objects.select_related("center_location", "irrigation_method")
-        .prefetch_related("plants")
+        .prefetch_related("plant_assignments__plant")
         .filter(farm_uuid=resolved_farm_uuid)
         .first()
     )
@@ -381,12 +385,16 @@ def get_irrigation_recommendation(
 
     plant = None
     resolved_plant_name = plant_name
-    if sensor is not None and plant_name:
-        plant = sensor.plants.filter(name=plant_name).first()
-    elif sensor is not None:
-        plant = sensor.plants.first()
-        if plant is not None:
-            resolved_plant_name = plant.name
+    if sensor is not None:
+        selected_snapshot = get_farm_plant_snapshot_by_name(sensor, plant_name)
+        plant = clone_snapshot_as_runtime_plant(
+            selected_snapshot,
+            growth_stage=growth_stage,
+        )
+        if selected_snapshot is not None:
+            resolved_plant_name = selected_snapshot.name
+        elif plant_name:
+            resolved_plant_name = plant_name
 
     crop_profile = resolve_crop_profile(plant, growth_stage=growth_stage)
     active_kc = resolve_kc(crop_profile, growth_stage=growth_stage)

rag/user_data.py

@@ -166,36 +166,16 @@ def load_user_sources() -> list[tuple[str, str]]:
 
 def build_plant_text(plant_name: str, growth_stage: str) -> str | None:
     """
-    ساخت متن اطلاعات گیاه از جدول Plant برای استفاده در context LLM.
+    ساخت متن اطلاعات گیاه از snapshotهای `farm_data` برای استفاده در context LLM.
     """
-    from plant.models import Plant
+    from farm_data.models import PlantCatalogSnapshot
+    from farm_data.services import build_plant_text_from_snapshot
 
-    plant = Plant.objects.filter(name=plant_name).first()
+    plant = PlantCatalogSnapshot.objects.filter(name=plant_name).first()
     if not plant:
         return None
 
-    lines = [
-        f"نام گیاه: {plant.name}",
-        f"مرحله رشد: {growth_stage}",
-    ]
-    if plant.light:
-        lines.append(f"نور مورد نیاز: {plant.light}")
-    if plant.watering:
-        lines.append(f"آبیاری: {plant.watering}")
-    if plant.soil:
-        lines.append(f"خاک مناسب: {plant.soil}")
-    if plant.temperature:
-        lines.append(f"دمای مناسب: {plant.temperature}")
-    if plant.planting_season:
-        lines.append(f"فصل کاشت: {plant.planting_season}")
-    if plant.harvest_time:
-        lines.append(f"زمان برداشت: {plant.harvest_time}")
-    if plant.spacing:
-        lines.append(f"فاصله کاشت: {plant.spacing}")
-    if plant.fertilizer:
-        lines.append(f"کود مناسب: {plant.fertilizer}")
-
-    return "\n".join(lines)
+    return build_plant_text_from_snapshot(plant, growth_stage)
 
 
 def build_irrigation_method_text(method_name: str) -> str | None: