UPDATE

Dockerfile

@@ -21,17 +21,20 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     pkg-config \
     && rm -rf /var/lib/apt/lists/*
 
-COPY requirements.txt .
+COPY requirements.txt constraints.txt .
 
-# Python mirrors
+RUN PIP_CONSTRAINT=/app/constraints.txt \
-RUN pip config --user set global.index-url https://package-mirror.liara.ir/repository/pypi/simple && \
+    pip install \
-    pip config --user set global.extra-index-url https://mirror.cdn.ir/repository/pypi/simple && \
+    --prefer-binary \
-    pip config --user set global.extra-index-url https://mirror2.chabokan.net/pypi/simple && \
+    --index-url https://mirror-pypi.runflare.com/simple \
-    pip config --user set global.trusted-host package-mirror.liara.ir && \
+    --extra-index-url https://package-mirror.liara.ir/repository/pypi/simple \
-    pip config --user set global.trusted-host mirror.cdn.ir && \
+    --extra-index-url https://mirror.cdn.ir/repository/pypi/simple \
-    pip config --user set global.trusted-host mirror-pypi.runflare.com
+    --extra-index-url https://mirror2.chabokan.net/pypi/simple \
-
+    --trusted-host mirror-pypi.runflare.com \
-RUN    pip install -r requirements.txt
+    --trusted-host package-mirror.liara.ir \
+    --trusted-host mirror.cdn.ir \
+    --trusted-host mirror2.chabokan.net \
+    -r requirements.txt
 
 COPY entrypoint.sh /app/entrypoint.sh
 COPY . .

config/test_urls.py

@@ -1,5 +1,5 @@
 from django.http import HttpResponse
-from django.urls import path
+from django.urls import include, path
 
 
 def test_view(_request):
@@ -8,4 +8,5 @@ def test_view(_request):
 
 urlpatterns = [
     path("__test__/", test_view),
+    path("api/rag/", include("rag.urls")),
 ]

constraints.txt

@@ -0,0 +1,2 @@
+# Keep build-isolated dependency resolution compatible with Python 3.10.
+numpy>=1.23,<1.27

crop_simulation/SERVICES_INTEGRATION.md

@@ -204,7 +204,7 @@
 اگر `pcse` نصب نباشد، `None` برمی‌گرداند.
 
 ### `_resolve_model_class(bindings, model_name)`
-کلاس مدل PCSE را با نامی مثل `Wofost72_WLP_CWB` پیدا می‌کند.
+کلاس مدل PCSE را با نامی مثل `Wofost81_NWLP_CWB_CNB` پیدا می‌کند.
 
 ---
 
@@ -226,13 +226,13 @@
 
 این کلاس فقط مسئول اجرای موتور شبیه‌سازی است و وارد منطق ذخیره سناریوها نمی‌شود.
 
-### `__init__(model_name="Wofost72_WLP_CWB")`
+### `__init__(model_name="Wofost81_NWLP_CWB_CNB")`
 مدل PCSE مورد استفاده را مشخص می‌کند.
 
 مدل پیش‌فرض:
 
 ```python
-Wofost72_WLP_CWB
+Wofost81_NWLP_CWB_CNB
 ```
 
 ### `run_simulation(...)`
@@ -251,7 +251,7 @@ Wofost72_WLP_CWB
 ```python
 {
     "engine": "pcse",
-    "model_name": "Wofost72_WLP_CWB",
+    "model_name": "Wofost81_NWLP_CWB_CNB",
     "metrics": {...},
     "daily_output": [...],
     "summary_output": [...],

crop_simulation/growth_simulation.py

@@ -12,7 +12,7 @@ from farm_data.models import SensorData
 from plant.gdd import calculate_daily_gdd, resolve_growth_profile
 from weather.models import WeatherForecast
 
-from .services import CropSimulationService
+from .services import CropSimulationService, build_simulation_payload_from_farm
 
 
 DEFAULT_DYNAMIC_PARAMETERS = ["DVS", "LAI", "TAGP", "TWSO", "SM"]
@@ -35,6 +35,7 @@ class GrowthSimulationError(Exception):
 
 @dataclass
 class GrowthSimulationContext:
+    farm_uuid: str | None
     plant_name: str
     plant: Any
     dynamic_parameters: list[str]
@@ -223,6 +224,7 @@ def build_growth_context(payload: dict[str, Any]) -> GrowthSimulationContext:
     page_size = min(max(int(payload.get("page_size") or DEFAULT_PAGE_SIZE), 1), MAX_PAGE_SIZE)
 
     sensor = None
+    resolved_farm_uuid = str(payload["farm_uuid"]) if payload.get("farm_uuid") else None
     if payload.get("farm_uuid"):
         sensor = (
             SensorData.objects.select_related("center_location")
@@ -233,6 +235,35 @@ def build_growth_context(payload: dict[str, Any]) -> GrowthSimulationContext:
         if sensor is None:
             raise GrowthSimulationError("Farm not found.")
 
+    if resolved_farm_uuid:
+        farm_payload = build_simulation_payload_from_farm(
+            farm_uuid=resolved_farm_uuid,
+            plant_name=plant_name,
+            weather=payload.get("weather"),
+            soil=payload.get("soil_parameters"),
+            crop_parameters=payload.get("crop_parameters"),
+            agromanagement=payload.get("agromanagement"),
+            site_parameters=payload.get("site_parameters"),
+        )
+        weather = farm_payload["weather"]
+        crop_parameters = farm_payload["crop_parameters"]
+        soil_parameters = farm_payload["soil"]
+        site_parameters = farm_payload["site_parameters"]
+        agromanagement = farm_payload["agromanagement"]
+        plant = farm_payload["plant"] or plant
+        return GrowthSimulationContext(
+            farm_uuid=resolved_farm_uuid,
+            plant_name=plant_name,
+            plant=plant,
+            dynamic_parameters=dynamic_parameters,
+            weather=weather,
+            crop_parameters=crop_parameters,
+            soil_parameters=soil_parameters,
+            site_parameters=site_parameters,
+            agromanagement=agromanagement,
+            page_size=page_size,
+        )
+
     weather = (
         _normalize_weather_records(payload["weather"])
         if payload.get("weather")
@@ -265,6 +296,7 @@ def build_growth_context(payload: dict[str, Any]) -> GrowthSimulationContext:
     )
 
     return GrowthSimulationContext(
+        farm_uuid=resolved_farm_uuid,
         plant_name=plant_name,
         plant=plant,
         dynamic_parameters=dynamic_parameters,
@@ -359,6 +391,8 @@ def _run_projection_engine(context: GrowthSimulationContext) -> dict[str, Any]:
 def _run_simulation(context: GrowthSimulationContext) -> tuple[dict[str, Any], int | None, str | None]:
     try:
         response = CropSimulationService().run_single_simulation(
+            farm_uuid=context.farm_uuid,
+            plant_name=context.plant_name,
             weather=context.weather,
             soil=context.soil_parameters,
             crop_parameters=context.crop_parameters,

crop_simulation/migrations/0002_alter_simulationscenario_model_name.py

@@ -0,0 +1,15 @@
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("crop_simulation", "0001_initial"),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name="simulationscenario",
+            name="model_name",
+            field=models.CharField(default="Wofost81_NWLP_CWB_CNB", max_length=128),
+        ),
+    ]

crop_simulation/models.py

@@ -23,7 +23,7 @@ class SimulationScenario(models.Model):
         default=ScenarioType.SINGLE,
         db_index=True,
     )
-    model_name = models.CharField(max_length=128, default="Wofost72_WLP_CWB")
+    model_name = models.CharField(max_length=128, default="Wofost81_NWLP_CWB_CNB")
     status = models.CharField(
         max_length=32,
         choices=Status.choices,

crop_simulation/recommendation_optimizer.py

@@ -368,10 +368,12 @@ class SimulationRecommendationOptimizer:
                 irrigation_events.append({"date": day, "amount": amount_per_event})
             try:
                 result = self.simulation_service.run_single_simulation(
+                    farm_uuid=str(sensor.farm_uuid),
+                    plant_name=getattr(plant, "name", None),
                     weather=weather,
-                    soil=soil,
                     crop_parameters=crop_parameters,
                     agromanagement=agromanagement,
+                    soil=soil,
                     site_parameters=site,
                     irrigation_recommendation={"events": irrigation_events},
                     name=f"irrigation-{spec['code']}",
@@ -605,10 +607,12 @@ class SimulationRecommendationOptimizer:
 
             try:
                 result = self.simulation_service.run_single_simulation(
+                    farm_uuid=str(sensor.farm_uuid),
+                    plant_name=getattr(plant, "name", None),
                     weather=weather,
-                    soil=soil,
                     crop_parameters=crop_parameters,
                     agromanagement=strategy_agromanagement,
+                    soil=soil,
                     site_parameters=site,
                     name=f"fertilization-{spec['code']}",
                 )

crop_simulation/services.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import importlib
+from copy import deepcopy
 from dataclasses import dataclass
 from datetime import date, datetime
 from typing import Any
@@ -13,6 +14,9 @@ from .models import SimulationRun, SimulationScenario
 DEFAULT_OUTPUT_VARS = ["DVS", "LAI", "TAGP", "TWSO", "SM"]
 DEFAULT_SUMMARY_VARS = ["TAGP", "TWSO", "CTRAT", "RD"]
 DEFAULT_TERMINAL_VARS = ["TAGP", "TWSO", "LAI", "DVS"]
+DEFAULT_PCSE_MODEL_NAME = "Wofost81_NWLP_CWB_CNB"
+DEFAULT_NAVAILI = 35.0
+DEFAULT_WAV = 40.0
 
 
 class CropSimulationError(Exception):
@@ -229,6 +233,265 @@ def _pick_first_not_none(*values: Any) -> Any:
     return None
 
 
+def _safe_float(value: Any, default: float = 0.0) -> float:
+    try:
+        if value in (None, ""):
+            return default
+        return float(value)
+    except (TypeError, ValueError):
+        return default
+
+
+def _clamp(value: float, lower: float, upper: float) -> float:
+    return max(lower, min(value, upper))
+
+
+def _sensor_metric(sensor: Any, metric_name: str) -> float | None:
+    if sensor is None:
+        return None
+
+    if hasattr(sensor, metric_name):
+        value = getattr(sensor, metric_name)
+        if value is not None:
+            return _safe_float(value)
+
+    payload = getattr(sensor, "sensor_payload", None) or {}
+    if not isinstance(payload, dict):
+        return None
+
+    for block in payload.values():
+        if isinstance(block, dict) and block.get(metric_name) is not None:
+            return _safe_float(block.get(metric_name))
+    return None
+
+
+def _extract_plant_simulation_profile(plant: Any | None) -> dict[str, Any] | None:
+    if plant is None:
+        return None
+
+    for attr in ("growth_profile", "irrigation_profile", "health_profile"):
+        profile = getattr(plant, attr, None) or {}
+        if not isinstance(profile, dict):
+            continue
+        simulation = profile.get("simulation")
+        if isinstance(simulation, dict):
+            return simulation
+    return None
+
+
+def _build_default_crop_parameters(plant: Any | None, crop_name: str) -> dict[str, Any]:
+    profile = getattr(plant, "growth_profile", None) or {}
+    required_gdd = _safe_float(profile.get("required_gdd_for_maturity"), 1200.0)
+    return {
+        "crop_name": crop_name,
+        "TSUM1": round(required_gdd * 0.45, 3),
+        "TSUM2": round(required_gdd * 0.55, 3),
+        "YIELD_SCALE": 1.0,
+        "MAX_LAI": 5.0,
+        "MAX_BIOMASS": 12000.0,
+    }
+
+
+def _build_default_agromanagement(crop_name: str, weather: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    first_day = weather[0]["DAY"]
+    last_day = weather[-1]["DAY"]
+    crop_end = max(last_day, first_day + (last_day - first_day))
+    return [
+        {
+            first_day: {
+                "CropCalendar": {
+                    "crop_name": crop_name,
+                    "variety_name": "default",
+                    "crop_start_date": first_day,
+                    "crop_start_type": "sowing",
+                    "crop_end_date": crop_end,
+                    "crop_end_type": "harvest",
+                    "max_duration": max((crop_end - first_day).days, 1),
+                },
+                "TimedEvents": [],
+                "StateEvents": [],
+            }
+        }
+    ]
+
+
+def _build_weather_from_forecasts(forecasts: list[Any], *, latitude: float, longitude: float) -> list[dict[str, Any]]:
+    return [
+        {
+            "DAY": forecast.forecast_date,
+            "LAT": latitude,
+            "LON": longitude,
+            "ELEV": 1200.0,
+            "IRRAD": 16_000_000.0,
+            "TMIN": _safe_float(
+                _pick_first_not_none(forecast.temperature_min, forecast.temperature_mean),
+                12.0,
+            ),
+            "TMAX": _safe_float(
+                _pick_first_not_none(forecast.temperature_max, forecast.temperature_mean),
+                24.0,
+            ),
+            "VAP": max(_safe_float(forecast.humidity_mean, 55.0) / 5.0, 6.0),
+            "WIND": _safe_float(forecast.wind_speed_max, 7.2) / 3.6,
+            "RAIN": _safe_float(forecast.precipitation, 0.0),
+            "E0": _safe_float(forecast.et0, 0.35),
+            "ES0": max(_safe_float(forecast.et0, 0.35) * 0.9, 0.1),
+            "ET0": _safe_float(forecast.et0, 0.35),
+        }
+        for forecast in forecasts
+    ]
+
+
+def _normalize_site_parameters_for_model(
+    model_name: str,
+    site_parameters: dict[str, Any] | None,
+    *,
+    soil_parameters: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    site = dict(site_parameters or {})
+    soil = soil_parameters or {}
+
+    site.setdefault("WAV", _safe_float(site.get("WAV"), DEFAULT_WAV))
+    if model_name.startswith("Wofost81_NWLP"):
+        navaili = _pick_first_not_none(
+            site.get("NAVAILI"),
+            site.get("navaili"),
+            site.get("nitrogen"),
+            soil.get("NAVAILI"),
+            soil.get("nitrogen"),
+        )
+        site["NAVAILI"] = _safe_float(navaili, DEFAULT_NAVAILI)
+        site.setdefault("BG_N_SUPPLY", 0.05)
+        site.setdefault("NSOILBASE", max(site["NAVAILI"] * 0.35, 5.0))
+        site.setdefault("NSOILBASE_FR", 0.02)
+    return site
+
+
+def build_simulation_payload_from_farm(
+    *,
+    farm_uuid: str,
+    plant_name: str | None = None,
+    weather: Any | None = None,
+    soil: dict[str, Any] | None = None,
+    crop_parameters: dict[str, Any] | None = None,
+    agromanagement: Any | None = None,
+    site_parameters: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    from farm_data.models import SensorData
+    from weather.models import WeatherForecast
+
+    farm = (
+        SensorData.objects.select_related("center_location", "irrigation_method")
+        .prefetch_related("plants", "center_location__depths")
+        .filter(farm_uuid=farm_uuid)
+        .first()
+    )
+    if farm is None:
+        raise CropSimulationError(f"Farm with uuid={farm_uuid} not found.")
+
+    plant = None
+    if plant_name:
+        plant = farm.plants.filter(name=plant_name).first()
+    if plant is None:
+        plant = farm.plants.first()
+
+    if weather is not None:
+        resolved_weather = _normalize_weather_records(weather)
+    else:
+        forecasts = list(
+            WeatherForecast.objects.filter(location=farm.center_location)
+            .order_by("forecast_date")[:14]
+        )
+        if not forecasts:
+            raise CropSimulationError(
+                "Weather data for the selected farm is missing."
+            )
+        resolved_weather = _build_weather_from_forecasts(
+            forecasts,
+            latitude=float(farm.center_location.latitude),
+            longitude=float(farm.center_location.longitude),
+        )
+
+    depths = list(farm.center_location.depths.all())
+    top_depth = depths[0] if depths else None
+    smfcf = _clamp(_safe_float(getattr(top_depth, "wv0033", None), 0.34), 0.2, 0.55)
+    smw = _clamp(_safe_float(getattr(top_depth, "wv1500", None), 0.14), 0.05, max(smfcf - 0.02, 0.06))
+    soil_moisture = _sensor_metric(farm, "soil_moisture")
+    wav = (
+        round(_clamp((soil_moisture or DEFAULT_WAV) / 100.0, smw, smfcf) * 100.0, 3)
+        if soil_moisture is not None
+        else DEFAULT_WAV
+    )
+    nitrogen = _pick_first_not_none(_sensor_metric(farm, "nitrogen"), getattr(top_depth, "nitrogen", None))
+    phosphorus = _sensor_metric(farm, "phosphorus")
+    potassium = _sensor_metric(farm, "potassium")
+    soil_ph = _pick_first_not_none(_sensor_metric(farm, "soil_ph"), getattr(top_depth, "phh2o", None))
+    ec = _sensor_metric(farm, "electrical_conductivity")
+
+    resolved_soil = {
+        "SMFCF": round(smfcf, 3),
+        "SMW": round(smw, 3),
+        "RDMSOL": 120.0,
+        "soil_moisture": soil_moisture,
+        "nitrogen": _safe_float(nitrogen, DEFAULT_NAVAILI),
+        "phosphorus": _safe_float(phosphorus, 0.0),
+        "potassium": _safe_float(potassium, 0.0),
+        "soil_ph": _safe_float(soil_ph, 7.0),
+        "electrical_conductivity": _safe_float(ec, 0.0),
+        "clay": _safe_float(getattr(top_depth, "clay", None), 0.0),
+        "sand": _safe_float(getattr(top_depth, "sand", None), 0.0),
+        "silt": _safe_float(getattr(top_depth, "silt", None), 0.0),
+        "cec": _safe_float(getattr(top_depth, "cec", None), 0.0),
+        "soc": _safe_float(getattr(top_depth, "soc", None), 0.0),
+    }
+    if soil:
+        resolved_soil.update(soil)
+
+    resolved_site = {
+        "WAV": wav,
+        "NAVAILI": _safe_float(nitrogen, DEFAULT_NAVAILI),
+        "P_STATUS": _safe_float(phosphorus, 0.0),
+        "K_STATUS": _safe_float(potassium, 0.0),
+        "SOIL_PH": _safe_float(soil_ph, 7.0),
+        "EC": _safe_float(ec, 0.0),
+    }
+    if site_parameters:
+        resolved_site.update(site_parameters)
+
+    simulation_profile = _extract_plant_simulation_profile(plant)
+    default_crop = (
+        deepcopy(simulation_profile.get("crop_parameters"))
+        if simulation_profile and isinstance(simulation_profile.get("crop_parameters"), dict)
+        else _build_default_crop_parameters(plant, plant_name or getattr(plant, "name", "crop"))
+    )
+    resolved_crop = default_crop
+    if crop_parameters:
+        resolved_crop.update(crop_parameters)
+    resolved_crop.setdefault("crop_name", plant_name or getattr(plant, "name", "crop"))
+    resolved_crop.setdefault("farm_uuid", str(farm_uuid))
+    resolved_crop.setdefault("soil_ph", _safe_float(soil_ph, 7.0))
+    resolved_crop.setdefault("soil_nitrogen", _safe_float(nitrogen, DEFAULT_NAVAILI))
+    resolved_crop.setdefault("soil_phosphorus", _safe_float(phosphorus, 0.0))
+    resolved_crop.setdefault("soil_potassium", _safe_float(potassium, 0.0))
+
+    default_agromanagement = (
+        deepcopy(simulation_profile.get("agromanagement"))
+        if simulation_profile and simulation_profile.get("agromanagement")
+        else _build_default_agromanagement(resolved_crop["crop_name"], resolved_weather)
+    )
+    resolved_agromanagement = agromanagement if agromanagement is not None else default_agromanagement
+
+    return {
+        "farm": farm,
+        "plant": plant,
+        "weather": resolved_weather,
+        "soil": resolved_soil,
+        "site_parameters": resolved_site,
+        "crop_parameters": resolved_crop,
+        "agromanagement": resolved_agromanagement,
+    }
+
+
 def _extract_total_n(agromanagement: list[dict[str, Any]]) -> float:
     total_n = 0.0
     for campaign in agromanagement:
@@ -250,6 +513,73 @@ def _extract_total_n(agromanagement: list[dict[str, Any]]) -> float:
     return total_n
 
 
+def _estimate_pk_stress_factor(
+    *,
+    soil: dict[str, Any],
+    site: dict[str, Any],
+    crop: dict[str, Any],
+) -> dict[str, float]:
+    phosphorus = _safe_float(
+        _pick_first_not_none(site.get("P_STATUS"), soil.get("phosphorus"), crop.get("soil_phosphorus")),
+        0.0,
+    )
+    potassium = _safe_float(
+        _pick_first_not_none(site.get("K_STATUS"), soil.get("potassium"), crop.get("soil_potassium")),
+        0.0,
+    )
+    soil_ph = _safe_float(
+        _pick_first_not_none(site.get("SOIL_PH"), soil.get("soil_ph"), crop.get("soil_ph")),
+        7.0,
+    )
+    ec = _safe_float(_pick_first_not_none(site.get("EC"), soil.get("electrical_conductivity")), 0.0)
+
+    phosphorus_target = _safe_float(crop.get("P_OPTIMAL"), 30.0)
+    potassium_target = _safe_float(crop.get("K_OPTIMAL"), 45.0)
+    p_factor = _clamp(phosphorus / max(phosphorus_target, 1.0), 0.45, 1.0)
+    k_factor = _clamp(potassium / max(potassium_target, 1.0), 0.45, 1.0)
+
+    ph_penalty = 1.0
+    if soil_ph < 5.8:
+        ph_penalty = _clamp(1.0 - ((5.8 - soil_ph) * 0.08), 0.65, 1.0)
+    elif soil_ph > 7.8:
+        ph_penalty = _clamp(1.0 - ((soil_ph - 7.8) * 0.06), 0.7, 1.0)
+
+    ec_penalty = 1.0
+    if ec > 2.5:
+        ec_penalty = _clamp(1.0 - ((ec - 2.5) * 0.07), 0.72, 1.0)
+
+    combined_factor = round(_clamp(p_factor * k_factor * ph_penalty * ec_penalty, 0.35, 1.0), 4)
+    return {
+        "phosphorus_factor": round(p_factor, 4),
+        "potassium_factor": round(k_factor, 4),
+        "ph_penalty": round(ph_penalty, 4),
+        "ec_penalty": round(ec_penalty, 4),
+        "combined_factor": combined_factor,
+    }
+
+
+def _apply_pk_adjustment(
+    result: dict[str, Any],
+    *,
+    soil: dict[str, Any],
+    site: dict[str, Any],
+    crop: dict[str, Any],
+) -> dict[str, Any]:
+    adjustment = _estimate_pk_stress_factor(soil=soil, site=site, crop=crop)
+    factor = adjustment["combined_factor"]
+    if factor >= 0.995:
+        result["nutrient_adjustment"] = adjustment
+        return result
+
+    metrics = dict(result.get("metrics", {}))
+    for key, scale in {"yield_estimate": factor, "biomass": factor, "max_lai": max(factor, 0.6)}.items():
+        if metrics.get(key) is not None:
+            metrics[key] = round(_safe_float(metrics[key]) * scale, 4)
+    result["metrics"] = metrics
+    result["nutrient_adjustment"] = adjustment
+    return result
+
+
 def _load_pcse_bindings() -> dict[str, Any] | None:
     try:
         base_module = importlib.import_module("pcse.base")
@@ -288,7 +618,7 @@ class PreparedSimulationInput:
 
 
 class PcseSimulationManager:
-    def __init__(self, model_name: str = "Wofost72_WLP_CWB"):
+    def __init__(self, model_name: str = DEFAULT_PCSE_MODEL_NAME):
         self.model_name = model_name
 
     def run_simulation(
@@ -304,7 +634,11 @@ class PcseSimulationManager:
             weather=_normalize_weather_records(weather),
             soil=soil or {},
             crop=crop_parameters or {},
-            site=site_parameters or {},
+            site=_normalize_site_parameters_for_model(
+                self.model_name,
+                site_parameters or {},
+                soil_parameters=soil or {},
+            ),
             agromanagement=_normalize_agromanagement(agromanagement),
         )
         bindings = _load_pcse_bindings()
@@ -312,7 +646,15 @@ class PcseSimulationManager:
             raise CropSimulationError(
                 "PCSE is not installed or required PCSE classes could not be loaded."
             )
-        return self._run_with_pcse(prepared, bindings)
+        result = self._run_with_pcse(prepared, bindings)
+        if self.model_name.startswith("Wofost81_NWLP"):
+            result = _apply_pk_adjustment(
+                result,
+                soil=prepared.soil,
+                site=prepared.site,
+                crop=prepared.crop,
+            )
+        return result
 
     def _run_with_pcse(
         self,
@@ -407,20 +749,73 @@ class CropSimulationService:
     def __init__(self, manager: PcseSimulationManager | None = None):
         self.manager = manager or PcseSimulationManager()
 
+    def _resolve_common_inputs(
+        self,
+        *,
+        farm_uuid: str | None = None,
+        plant_name: str | None = None,
+        weather: Any | None = None,
+        soil: dict[str, Any] | None = None,
+        crop_parameters: dict[str, Any] | None = None,
+        agromanagement: Any | None = None,
+        site_parameters: dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        if not farm_uuid:
+            return {
+                "weather": weather,
+                "soil": soil or {},
+                "crop_parameters": crop_parameters or {},
+                "agromanagement": agromanagement,
+                "site_parameters": _normalize_site_parameters_for_model(
+                    self.manager.model_name,
+                    site_parameters or {},
+                    soil_parameters=soil or {},
+                ),
+                "farm": None,
+                "plant": None,
+            }
+
+        base = build_simulation_payload_from_farm(
+            farm_uuid=str(farm_uuid),
+            plant_name=plant_name or (crop_parameters or {}).get("crop_name"),
+            weather=weather,
+            soil=soil,
+            crop_parameters=crop_parameters,
+            agromanagement=agromanagement,
+            site_parameters=site_parameters,
+        )
+        base["site_parameters"] = _normalize_site_parameters_for_model(
+            self.manager.model_name,
+            base.get("site_parameters"),
+            soil_parameters=base.get("soil"),
+        )
+        return base
+
     def run_single_simulation(
         self,
         *,
-        weather: Any,
+        weather: Any | None = None,
-        soil: dict[str, Any],
+        soil: dict[str, Any] | None = None,
-        crop_parameters: dict[str, Any],
+        crop_parameters: dict[str, Any] | None = None,
-        agromanagement: Any,
+        agromanagement: Any | None = None,
         site_parameters: dict[str, Any] | None = None,
         irrigation_recommendation: dict[str, Any] | None = None,
         fertilization_recommendation: dict[str, Any] | None = None,
         name: str = "",
+        farm_uuid: str | None = None,
+        plant_name: str | None = None,
     ) -> dict[str, Any]:
+        resolved = self._resolve_common_inputs(
+            farm_uuid=farm_uuid,
+            plant_name=plant_name,
+            weather=weather,
+            soil=soil,
+            crop_parameters=crop_parameters,
+            agromanagement=agromanagement,
+            site_parameters=site_parameters,
+        )
         merged_agromanagement = _merge_management_recommendations(
-            agromanagement,
+            resolved["agromanagement"],
             irrigation_recommendation=irrigation_recommendation,
             fertilization_recommendation=fertilization_recommendation,
         )
@@ -430,13 +825,15 @@ class CropSimulationService:
             model_name=self.manager.model_name,
             input_payload=_json_ready(
                 {
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
-                    "crop_parameters": crop_parameters,
+                    "crop_parameters": resolved["crop_parameters"],
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                     "irrigation_recommendation": irrigation_recommendation or {},
                     "fertilization_recommendation": fertilization_recommendation or {},
+                    "farm_uuid": farm_uuid,
+                    "plant_name": plant_name,
                 }
             ),
         )
@@ -444,10 +841,10 @@ class CropSimulationService:
             scenario=scenario,
             run_key="single",
             label=name or "single",
-            weather_payload=_json_ready(weather),
+            weather_payload=_json_ready(resolved["weather"]),
-            soil_payload=_json_ready(soil),
+            soil_payload=_json_ready(resolved["soil"]),
-            crop_payload=_json_ready(crop_parameters),
+            crop_payload=_json_ready(resolved["crop_parameters"]),
-            site_payload=_json_ready(site_parameters or {}),
+            site_payload=_json_ready(resolved["site_parameters"]),
             agromanagement_payload=_json_ready(merged_agromanagement),
         )
         return self._execute_scenario(
@@ -455,10 +852,10 @@ class CropSimulationService:
             run_specs=[
                 {
                     "instance": run,
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
-                    "crop_parameters": crop_parameters,
+                    "crop_parameters": resolved["crop_parameters"],
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                 }
             ],
@@ -467,18 +864,27 @@ class CropSimulationService:
     def compare_crops(
         self,
         *,
-        weather: Any,
+        weather: Any | None = None,
-        soil: dict[str, Any],
+        soil: dict[str, Any] | None = None,
         crop_a: dict[str, Any],
         crop_b: dict[str, Any],
-        agromanagement: Any,
+        agromanagement: Any | None = None,
         site_parameters: dict[str, Any] | None = None,
         irrigation_recommendation: dict[str, Any] | None = None,
         fertilization_recommendation: dict[str, Any] | None = None,
         name: str = "",
+        farm_uuid: str | None = None,
     ) -> dict[str, Any]:
+        resolved = self._resolve_common_inputs(
+            farm_uuid=farm_uuid,
+            weather=weather,
+            soil=soil,
+            crop_parameters=None,
+            agromanagement=agromanagement,
+            site_parameters=site_parameters,
+        )
         merged_agromanagement = _merge_management_recommendations(
-            agromanagement,
+            resolved["agromanagement"],
             irrigation_recommendation=irrigation_recommendation,
             fertilization_recommendation=fertilization_recommendation,
         )
@@ -488,14 +894,15 @@ class CropSimulationService:
             model_name=self.manager.model_name,
             input_payload=_json_ready(
                 {
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
                     "crop_a": crop_a,
                     "crop_b": crop_b,
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                     "irrigation_recommendation": irrigation_recommendation or {},
                     "fertilization_recommendation": fertilization_recommendation or {},
+                    "farm_uuid": farm_uuid,
                 }
             ),
         )
@@ -504,20 +911,20 @@ class CropSimulationService:
                 scenario=scenario,
                 run_key="crop_a",
                 label=crop_a.get("crop_name", "crop_a"),
-                weather_payload=_json_ready(weather),
+                weather_payload=_json_ready(resolved["weather"]),
-                soil_payload=_json_ready(soil),
+                soil_payload=_json_ready(resolved["soil"]),
                 crop_payload=_json_ready(crop_a),
-                site_payload=_json_ready(site_parameters or {}),
+                site_payload=_json_ready(resolved["site_parameters"]),
                 agromanagement_payload=_json_ready(merged_agromanagement),
             ),
             SimulationRun.objects.create(
                 scenario=scenario,
                 run_key="crop_b",
                 label=crop_b.get("crop_name", "crop_b"),
-                weather_payload=_json_ready(weather),
+                weather_payload=_json_ready(resolved["weather"]),
-                soil_payload=_json_ready(soil),
+                soil_payload=_json_ready(resolved["soil"]),
                 crop_payload=_json_ready(crop_b),
-                site_payload=_json_ready(site_parameters or {}),
+                site_payload=_json_ready(resolved["site_parameters"]),
                 agromanagement_payload=_json_ready(merged_agromanagement),
             ),
         ]
@@ -526,18 +933,18 @@ class CropSimulationService:
             run_specs=[
                 {
                     "instance": runs[0],
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
                     "crop_parameters": crop_a,
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                 },
                 {
                     "instance": runs[1],
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
                     "crop_parameters": crop_b,
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                 },
             ],
@@ -546,20 +953,44 @@ class CropSimulationService:
     def recommend_best_crop(
         self,
         *,
-        weather: Any,
+        weather: Any | None = None,
-        soil: dict[str, Any],
+        soil: dict[str, Any] | None = None,
-        crops: list[dict[str, Any]],
+        crops: list[dict[str, Any]] | None = None,
-        agromanagement: Any,
+        agromanagement: Any | None = None,
         site_parameters: dict[str, Any] | None = None,
         irrigation_recommendation: dict[str, Any] | None = None,
         fertilization_recommendation: dict[str, Any] | None = None,
         name: str = "",
+        farm_uuid: str | None = None,
     ) -> dict[str, Any]:
+        if not crops and farm_uuid:
+            base = build_simulation_payload_from_farm(farm_uuid=str(farm_uuid))
+            crops = []
+            for plant in base["farm"].plants.all():
+                simulation_profile = _extract_plant_simulation_profile(plant)
+                crop_payload = (
+                    deepcopy(simulation_profile.get("crop_parameters"))
+                    if simulation_profile and isinstance(simulation_profile.get("crop_parameters"), dict)
+                    else _build_default_crop_parameters(plant, plant.name)
+                )
+                crop_payload.setdefault("crop_name", plant.name)
+                crop_payload.setdefault("label", plant.name)
+                crops.append(crop_payload)
+
+        crops = crops or []
         if len(crops) < 2:
             raise CropSimulationError("At least two crop options are required.")
 
+        resolved = self._resolve_common_inputs(
+            farm_uuid=farm_uuid,
+            weather=weather,
+            soil=soil,
+            crop_parameters=None,
+            agromanagement=agromanagement,
+            site_parameters=site_parameters,
+        )
         merged_agromanagement = _merge_management_recommendations(
-            agromanagement,
+            resolved["agromanagement"],
             irrigation_recommendation=irrigation_recommendation,
             fertilization_recommendation=fertilization_recommendation,
         )
@@ -570,13 +1001,14 @@ class CropSimulationService:
             model_name=self.manager.model_name,
             input_payload=_json_ready(
                 {
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
                     "crops": crops,
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                     "irrigation_recommendation": irrigation_recommendation or {},
                     "fertilization_recommendation": fertilization_recommendation or {},
+                    "farm_uuid": farm_uuid,
                 }
             ),
         )
@@ -593,19 +1025,19 @@ class CropSimulationService:
                 scenario=scenario,
                 run_key=f"crop_{index}",
                 label=label,
-                weather_payload=_json_ready(weather),
+                weather_payload=_json_ready(resolved["weather"]),
-                soil_payload=_json_ready(soil),
+                soil_payload=_json_ready(resolved["soil"]),
                 crop_payload=_json_ready(crop),
-                site_payload=_json_ready(site_parameters or {}),
+                site_payload=_json_ready(resolved["site_parameters"]),
                 agromanagement_payload=_json_ready(merged_agromanagement),
             )
             run_specs.append(
                 {
                     "instance": run,
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
                     "crop_parameters": crop,
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                 }
             )
@@ -627,31 +1059,44 @@ class CropSimulationService:
     def compare_fertilization_strategies(
         self,
         *,
-        weather: Any,
+        weather: Any | None = None,
-        soil: dict[str, Any],
+        soil: dict[str, Any] | None = None,
-        crop_parameters: dict[str, Any],
+        crop_parameters: dict[str, Any] | None = None,
         strategies: list[dict[str, Any]],
         site_parameters: dict[str, Any] | None = None,
         irrigation_recommendation: dict[str, Any] | None = None,
         fertilization_recommendation: dict[str, Any] | None = None,
         name: str = "",
+        farm_uuid: str | None = None,
+        plant_name: str | None = None,
     ) -> dict[str, Any]:
         if len(strategies) < 2:
             raise CropSimulationError("At least two fertilization strategies are required.")
 
+        resolved = self._resolve_common_inputs(
+            farm_uuid=farm_uuid,
+            plant_name=plant_name,
+            weather=weather,
+            soil=soil,
+            crop_parameters=crop_parameters,
+            agromanagement=None,
+            site_parameters=site_parameters,
+        )
         scenario = SimulationScenario.objects.create(
             name=name,
             scenario_type=SimulationScenario.ScenarioType.FERTILIZATION_COMPARISON,
             model_name=self.manager.model_name,
             input_payload=_json_ready(
                 {
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
-                    "crop_parameters": crop_parameters,
+                    "crop_parameters": resolved["crop_parameters"],
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "strategies": strategies,
                     "irrigation_recommendation": irrigation_recommendation or {},
                     "fertilization_recommendation": fertilization_recommendation or {},
+                    "farm_uuid": farm_uuid,
+                    "plant_name": plant_name,
                 }
             ),
         )
@@ -666,19 +1111,19 @@ class CropSimulationService:
                 scenario=scenario,
                 run_key=f"strategy_{index}",
                 label=strategy.get("label", f"strategy_{index}"),
-                weather_payload=_json_ready(weather),
+                weather_payload=_json_ready(resolved["weather"]),
-                soil_payload=_json_ready(soil),
+                soil_payload=_json_ready(resolved["soil"]),
-                crop_payload=_json_ready(crop_parameters),
+                crop_payload=_json_ready(resolved["crop_parameters"]),
-                site_payload=_json_ready(site_parameters or {}),
+                site_payload=_json_ready(resolved["site_parameters"]),
                 agromanagement_payload=_json_ready(merged_agromanagement),
             )
             run_specs.append(
                 {
                     "instance": run,
-                    "weather": weather,
+                    "weather": resolved["weather"],
-                    "soil": soil,
+                    "soil": resolved["soil"],
-                    "crop_parameters": crop_parameters,
+                    "crop_parameters": resolved["crop_parameters"],
-                    "site_parameters": site_parameters or {},
+                    "site_parameters": resolved["site_parameters"],
                     "agromanagement": merged_agromanagement,
                 }
             )
@@ -797,6 +1242,7 @@ class CropSimulationService:
             "runs": run_metrics,
         }
         if scenario.scenario_type == SimulationScenario.ScenarioType.CROP_COMPARISON:
+            if len(run_metrics) >= 2:
                 payload["comparison"]["yield_gap"] = round(
                     abs(run_metrics[0]["yield_estimate"] - run_metrics[1]["yield_estimate"]),
                     3,

crop_simulation/tests.py

@@ -117,7 +117,7 @@ class CropSimulationServiceTests(TestCase):
             side_effect=[
                 {
                     "engine": "pcse",
-                    "model_name": "Wofost72_WLP_CWB",
+                    "model_name": "Wofost81_NWLP_CWB_CNB",
                     "metrics": {
                         "yield_estimate": 5200.0,
                         "biomass": 9800.0,
@@ -129,7 +129,7 @@ class CropSimulationServiceTests(TestCase):
                 },
                 {
                     "engine": "pcse",
-                    "model_name": "Wofost72_WLP_CWB",
+                    "model_name": "Wofost81_NWLP_CWB_CNB",
                     "metrics": {
                         "yield_estimate": 6100.0,
                         "biomass": 11000.0,
@@ -174,7 +174,7 @@ class CropSimulationServiceTests(TestCase):
             captured.update(kwargs)
             return {
                 "engine": "pcse",
-                "model_name": "Wofost72_WLP_CWB",
+                "model_name": "Wofost81_NWLP_CWB_CNB",
                 "metrics": {
                     "yield_estimate": 5400.0,
                     "biomass": 9800.0,

fertilization/apps.py

@@ -12,6 +12,7 @@ class FertilizationConfig(AppConfig):
     @cached_property
     def optimizer_defaults(self):
         return {
+            "simulation_model": "Wofost81_NWLP_CWB_CNB",
             "validity_days": 7,
             "rain_delay_threshold_mm": 3.0,
             "stage_targets": {

fertilization/serializers.py

@@ -4,11 +4,19 @@ from rest_framework import serializers
 class FertilizationRecommendRequestSerializer(serializers.Serializer):
     """سریالایزر ورودی برای درخواست توصیه کودهی."""
 
-    sensor_uuid = serializers.CharField(help_text="شناسه یکتای سنسور (اجباری)")
+    farm_uuid = serializers.CharField(required=False, help_text="شناسه یکتای مزرعه (اجباری)")
+    sensor_uuid = serializers.CharField(required=False, help_text="نام قدیمی برای farm_uuid")
     plant_name = serializers.CharField(required=False, allow_blank=True, help_text="نام گیاه")
     growth_stage = serializers.CharField(required=False, allow_blank=True, help_text="مرحله رشد گیاه")
     query = serializers.CharField(required=False, allow_blank=True, help_text="سوال اختیاری")
 
+    def validate(self, attrs):
+        farm_uuid = attrs.get("farm_uuid") or attrs.get("sensor_uuid")
+        if not farm_uuid:
+            raise serializers.ValidationError({"farm_uuid": "farm_uuid الزامی است."})
+        attrs["farm_uuid"] = farm_uuid
+        return attrs
+
 
 class FertilizationPlanSerializer(serializers.Serializer):
     """سریالایزر خروجی برای پلن توصیه کودهی."""

fertilization/views.py

@@ -29,7 +29,7 @@ FertilizationResponseSerializer = build_envelope_serializer(
 class FertilizationRecommendView(APIView):
     """
     توصیه کودهی به صورت مستقیم.
-    POST با sensor_uuid، plant_name، growth_stage.
+    POST با farm_uuid، plant_name، growth_stage.
     اطلاعات گیاه از plant app دریافت می‌شود.
     نیازی به دریافت نوع آبیاری نیست.
     """
@@ -62,7 +62,7 @@ class FertilizationRecommendView(APIView):
             OpenApiExample(
                 "نمونه درخواست",
                 value={
-                    "sensor_uuid": "550e8400-e29b-41d4-a716-446655440000",
+                    "farm_uuid": "550e8400-e29b-41d4-a716-446655440000",
                     "plant_name": "گوجه‌فرنگی",
                     "growth_stage": "گلدهی",
                 },
@@ -81,14 +81,14 @@ class FertilizationRecommendView(APIView):
             )
 
         validated = serializer.validated_data
-        sensor_uuid = validated["sensor_uuid"]
+        farm_uuid = validated["farm_uuid"]
         plant_name = validated.get("plant_name")
         growth_stage = validated.get("growth_stage")
         query = validated.get("query")
 
         try:
             result = get_fertilization_recommendation(
-                sensor_uuid=sensor_uuid,
+                farm_uuid=farm_uuid,
                 plant_name=plant_name,
                 growth_stage=growth_stage,
                 query=query,

irrigation/apps.py

@@ -12,6 +12,7 @@ class IrrigationConfig(AppConfig):
     @cached_property
     def optimizer_defaults(self):
         return {
+            "simulation_model": "Wofost81_NWLP_CWB_CNB",
             "validity_days": 3,
             "minimum_event_mm": 4.0,
             "significant_rain_threshold_mm": 4.0,

irrigation/serializers.py

@@ -28,7 +28,8 @@ class IrrigationMethodSerializer(serializers.ModelSerializer):
 class IrrigationRecommendRequestSerializer(serializers.Serializer):
     """سریالایزر ورودی برای درخواست توصیه آبیاری."""
 
-    sensor_uuid = serializers.CharField(help_text="شناسه یکتای سنسور (اجباری)")
+    farm_uuid = serializers.CharField(required=False, help_text="شناسه یکتای مزرعه (اجباری)")
+    sensor_uuid = serializers.CharField(required=False, help_text="نام قدیمی برای farm_uuid")
     plant_name = serializers.CharField(required=False, allow_blank=True, help_text="نام گیاه")
     growth_stage = serializers.CharField(required=False, allow_blank=True, help_text="مرحله رشد گیاه")
     irrigation_method_name = serializers.CharField(
@@ -36,6 +37,13 @@ class IrrigationRecommendRequestSerializer(serializers.Serializer):
     )
     query = serializers.CharField(required=False, allow_blank=True, help_text="سوال اختیاری")
 
+    def validate(self, attrs):
+        farm_uuid = attrs.get("farm_uuid") or attrs.get("sensor_uuid")
+        if not farm_uuid:
+            raise serializers.ValidationError({"farm_uuid": "farm_uuid الزامی است."})
+        attrs["farm_uuid"] = farm_uuid
+        return attrs
+
 
 class IrrigationPlanSerializer(serializers.Serializer):
     """سریالایزر خروجی برای پلن توصیه آبیاری."""

irrigation/views.py

@@ -107,7 +107,7 @@ class IrrigationMethodListCreateView(APIView):
 class IrrigationRecommendView(APIView):
     """
     توصیه آبیاری به صورت مستقیم.
-    POST با sensor_uuid، plant_name، growth_stage، irrigation_method_name.
+    POST با farm_uuid، plant_name، growth_stage، irrigation_method_name.
     اطلاعات گیاه از plant app و روش آبیاری از irrigation app دریافت می‌شود.
     """
 
@@ -139,7 +139,7 @@ class IrrigationRecommendView(APIView):
             OpenApiExample(
                 "نمونه درخواست",
                 value={
-                    "sensor_uuid": "550e8400-e29b-41d4-a716-446655440000",
+                    "farm_uuid": "550e8400-e29b-41d4-a716-446655440000",
                     "plant_name": "گوجه‌فرنگی",
                     "growth_stage": "گلدهی",
                     "irrigation_method_name": "آبیاری قطره‌ای",
@@ -159,7 +159,7 @@ class IrrigationRecommendView(APIView):
             )
 
         validated = serializer.validated_data
-        sensor_uuid = validated["sensor_uuid"]
+        farm_uuid = validated["farm_uuid"]
         plant_name = validated.get("plant_name")
         growth_stage = validated.get("growth_stage")
         irrigation_method_name = validated.get("irrigation_method_name")
@@ -167,7 +167,7 @@ class IrrigationRecommendView(APIView):
 
         try:
             result = get_irrigation_recommendation(
-                sensor_uuid=sensor_uuid,
+                farm_uuid=farm_uuid,
                 plant_name=plant_name,
                 growth_stage=growth_stage,
                 irrigation_method_name=irrigation_method_name,

rag/services/fertilization.py

@@ -173,19 +173,20 @@ def _merge_fertilization_response(
 
 
 def get_fertilization_recommendation(
-    sensor_uuid: str,
+    farm_uuid: str | None = None,
     plant_name: str | None = None,
     growth_stage: str | None = None,
     query: str | None = None,
     config: RAGConfig | None = None,
     limit: int = 8,
+    sensor_uuid: str | None = None,
 ) -> dict:
     """
-    توصیه کودهی برای یک سنسور (کاربر).
+    توصیه کودهی برای یک مزرعه.
     از RAG با پایگاه دانش fertilization استفاده می‌کند.
 
     Args:
-        sensor_uuid: شناسه سنسور کاربر
+        farm_uuid: شناسه مزرعه
         plant_name: نام گیاه (برای بارگذاری مشخصات از جدول Plant)
         growth_stage: مرحله رشد گیاه
         query: سوال اختیاری
@@ -193,7 +194,7 @@ def get_fertilization_recommendation(
         limit: تعداد چانک‌های بازیابی‌شده
 
     Returns:
-        dict با کلیدهای fertilizer_needed, fertilizer_type, amount_kg_per_hectare, reason, npk_status, raw_response
+        dict ساختاریافته برای توصیه کودهی
     """
     cfg = config or load_rag_config()
     service = get_service_config(SERVICE_ID, cfg)
@@ -209,12 +210,16 @@ def get_fertilization_recommendation(
     client = get_chat_client(service_cfg)
     model = service.llm.model
 
+    resolved_farm_uuid = str(farm_uuid or sensor_uuid or "").strip()
+    if not resolved_farm_uuid:
+        raise ValueError("farm_uuid is required.")
+
     user_query = query or "توصیه کودهی برای مزرعه من چیست؟"
 
     sensor = (
         SensorData.objects.select_related("center_location")
         .prefetch_related("plants")
-        .filter(farm_uuid=sensor_uuid)
+        .filter(farm_uuid=resolved_farm_uuid)
         .first()
     )
     resolved_plant_name = plant_name
@@ -246,7 +251,7 @@ def get_fertilization_recommendation(
         )
 
     context = build_rag_context(
-        user_query, sensor_uuid, config=cfg, limit=limit, kb_name=KB_NAME, service_id=SERVICE_ID,
+        user_query, resolved_farm_uuid, config=cfg, limit=limit, kb_name=KB_NAME, service_id=SERVICE_ID,
     )
 
     extra_parts: list[str] = []
@@ -276,7 +281,7 @@ def get_fertilization_recommendation(
         {"role": "user", "content": user_query},
     ]
     audit_log = _create_audit_log(
-        farm_uuid=sensor_uuid,
+        farm_uuid=resolved_farm_uuid,
         service_id=SERVICE_ID,
         model=model,
         query=user_query,
@@ -291,7 +296,7 @@ def get_fertilization_recommendation(
         )
         raw = response.choices[0].message.content.strip()
     except Exception as exc:
-        logger.error("Fertilization recommendation error for %s: %s", sensor_uuid, exc)
+        logger.error("Fertilization recommendation error for %s: %s", resolved_farm_uuid, exc)
         result = _build_fertilization_fallback(optimized_result=optimized_result)
         result["error"] = f"خطا در دریافت توصیه: {exc}"
         result["raw_response"] = None

rag/services/irrigation.py

@@ -219,20 +219,21 @@ def _persist_irrigation_method_on_farm(
 
 
 def get_irrigation_recommendation(
-    sensor_uuid: str,
+    farm_uuid: str | None = None,
     plant_name: str | None = None,
     growth_stage: str | None = None,
     irrigation_method_name: str | None = None,
     query: str | None = None,
     config: RAGConfig | None = None,
     limit: int = 8,
+    sensor_uuid: str | None = None,
 ) -> dict:
     """
-    توصیه آبیاری برای یک سنسور (کاربر).
+    توصیه آبیاری برای یک مزرعه.
     از RAG با پایگاه دانش irrigation استفاده می‌کند.
 
     Args:
-        sensor_uuid: شناسه سنسور کاربر
+        farm_uuid: شناسه مزرعه
         plant_name: نام گیاه (برای بارگذاری مشخصات از جدول Plant)
         growth_stage: مرحله رشد گیاه
         irrigation_method_name: نام روش آبیاری (برای بارگذاری از جدول IrrigationMethod)
@@ -241,7 +242,7 @@ def get_irrigation_recommendation(
         limit: تعداد چانک‌های بازیابی‌شده
 
     Returns:
-        dict با کلیدهای irrigation_needed, amount_mm, reason, next_check_date, raw_response
+        dict ساختاریافته برای توصیه آبیاری
     """
     cfg = config or load_rag_config()
     service = get_service_config(SERVICE_ID, cfg)
@@ -257,12 +258,16 @@ def get_irrigation_recommendation(
     client = get_chat_client(service_cfg)
     model = service.llm.model
 
+    resolved_farm_uuid = str(farm_uuid or sensor_uuid or "").strip()
+    if not resolved_farm_uuid:
+        raise ValueError("farm_uuid is required.")
+
     user_query = query or "توصیه آبیاری برای مزرعه من چیست؟"
 
     sensor = (
         SensorData.objects.select_related("center_location", "irrigation_method")
         .prefetch_related("plants")
-        .filter(farm_uuid=sensor_uuid)
+        .filter(farm_uuid=resolved_farm_uuid)
         .first()
     )
     irrigation_method = _resolve_irrigation_method(sensor, irrigation_method_name)
@@ -309,7 +314,7 @@ def get_irrigation_recommendation(
             )
 
     context = build_rag_context(
-        user_query, sensor_uuid, config=cfg, limit=limit, kb_name=KB_NAME, service_id=SERVICE_ID,
+        user_query, resolved_farm_uuid, config=cfg, limit=limit, kb_name=KB_NAME, service_id=SERVICE_ID,
     )
 
     extra_parts: list[str] = []
@@ -360,7 +365,7 @@ def get_irrigation_recommendation(
         {"role": "user", "content": user_query},
     ]
     audit_log = _create_audit_log(
-        farm_uuid=sensor_uuid,
+        farm_uuid=resolved_farm_uuid,
         service_id=SERVICE_ID,
         model=model,
         query=user_query,
@@ -375,7 +380,7 @@ def get_irrigation_recommendation(
         )
         raw = response.choices[0].message.content.strip()
     except Exception as exc:
-        logger.error("Irrigation recommendation error for %s: %s", sensor_uuid, exc)
+        logger.error("Irrigation recommendation error for %s: %s", resolved_farm_uuid, exc)
         result = _build_irrigation_fallback(
             optimized_result=optimized_result,
             daily_water_needs=daily_water_needs,

rag/tasks.py

@@ -20,7 +20,7 @@ def rag_ingest_task(recreate: bool = True):
 @app.task(bind=True)
 def irrigation_recommendation_task(
     self,
-    sensor_uuid: str,
+    farm_uuid: str,
     plant_name: str | None = None,
     growth_stage: str | None = None,
     irrigation_method_name: str | None = None,
@@ -38,7 +38,7 @@ def irrigation_recommendation_task(
         meta={"message": "در حال پردازش توصیه آبیاری..."},
     )
     result = get_irrigation_recommendation(
-        sensor_uuid=sensor_uuid,
+        farm_uuid=farm_uuid,
         plant_name=plant_name,
         growth_stage=growth_stage,
         irrigation_method_name=irrigation_method_name,
@@ -51,7 +51,7 @@ def irrigation_recommendation_task(
 @app.task(bind=True)
 def fertilization_recommendation_task(
     self,
-    sensor_uuid: str,
+    farm_uuid: str,
     plant_name: str | None = None,
     growth_stage: str | None = None,
     query: str | None = None,
@@ -68,7 +68,7 @@ def fertilization_recommendation_task(
         meta={"message": "در حال پردازش توصیه کودهی..."},
     )
     result = get_fertilization_recommendation(
-        sensor_uuid=sensor_uuid,
+        farm_uuid=farm_uuid,
         plant_name=plant_name,
         growth_stage=growth_stage,
         query=query,

rag/tests/test_recommendation_api.py

@@ -1,9 +1,10 @@
 from unittest.mock import patch
 
-from django.test import TestCase
+from django.test import TestCase, override_settings
 from rest_framework.test import APIClient
 
 
+@override_settings(ROOT_URLCONF="config.test_urls")
 class RagRecommendationApiTests(TestCase):
     def setUp(self):
         self.client = APIClient()
@@ -21,7 +22,7 @@ class RagRecommendationApiTests(TestCase):
         response = self.client.post(
             "/api/rag/recommend/irrigation/",
             data={
-                "sensor_uuid": "sensor-123",
+                "farm_uuid": "sensor-123",
                 "plant_name": "گوجه‌فرنگی",
                 "growth_stage": "میوه‌دهی",
                 "irrigation_method_name": "قطره‌ای",
@@ -32,7 +33,7 @@ class RagRecommendationApiTests(TestCase):
         self.assertEqual(response.status_code, 200)
         self.assertEqual(response.json()["data"]["plan"]["frequencyPerWeek"], 3)
         mock_get_irrigation_recommendation.assert_called_once_with(
-            sensor_uuid="sensor-123",
+            farm_uuid="sensor-123",
             plant_name="گوجه‌فرنگی",
             growth_stage="میوه‌دهی",
             irrigation_method_name="قطره‌ای",
@@ -52,7 +53,7 @@ class RagRecommendationApiTests(TestCase):
         response = self.client.post(
             "/api/rag/recommend/fertilization/",
             data={
-                "sensor_uuid": "sensor-456",
+                "farm_uuid": "sensor-456",
                 "plant_name": "گندم",
                 "growth_stage": "رویشی",
             },
@@ -62,7 +63,7 @@ class RagRecommendationApiTests(TestCase):
         self.assertEqual(response.status_code, 200)
         self.assertEqual(response.json()["data"]["plan"]["npkRatio"], "20-20-20")
         mock_get_fertilization_recommendation.assert_called_once_with(
-            sensor_uuid="sensor-456",
+            farm_uuid="sensor-456",
             plant_name="گندم",
             growth_stage="رویشی",
             query=None,

rag/tests/test_recommendation_services.py

@@ -130,7 +130,7 @@ class RecommendationServiceDefaultsTests(TestCase):
         mock_get_chat_client.return_value.chat.completions.create.return_value = mock_response
 
         result = get_irrigation_recommendation(
-            sensor_uuid=str(self.farm_uuid),
+            farm_uuid=str(self.farm_uuid),
             growth_stage="میوه‌دهی",
         )
 
@@ -176,7 +176,7 @@ class RecommendationServiceDefaultsTests(TestCase):
         mock_get_chat_client.return_value.chat.completions.create.return_value = mock_response
 
         result = get_irrigation_recommendation(
-            sensor_uuid=str(self.farm_uuid),
+            farm_uuid=str(self.farm_uuid),
             growth_stage="میوه‌دهی",
             irrigation_method_name="بارانی",
         )
@@ -205,7 +205,7 @@ class RecommendationServiceDefaultsTests(TestCase):
         mock_get_chat_client.return_value.chat.completions.create.return_value = mock_response
 
         result = get_fertilization_recommendation(
-            sensor_uuid=str(self.farm_uuid),
+            farm_uuid=str(self.farm_uuid),
             growth_stage="رویشی",
         )
 
@@ -232,7 +232,7 @@ class RecommendationServiceDefaultsTests(TestCase):
         mock_get_chat_client.return_value.chat.completions.create.return_value = mock_response
 
         result = get_fertilization_recommendation(
-            sensor_uuid=str(self.farm_uuid),
+            farm_uuid=str(self.farm_uuid),
             growth_stage="رویشی",
         )
 

rag/urls.py

@@ -8,6 +8,6 @@ from .views import (
 
 urlpatterns = [
     path("chat/", ChatView.as_view()),
-    # path("recommend/irrigation/", IrrigationRecommendationView.as_view(), name="recommend-irrigation"),
+    path("recommend/irrigation/", IrrigationRecommendationView.as_view(), name="recommend-irrigation"),
-    # path("recommend/fertilization/", FertilizationRecommendationView.as_view(), name="recommend-fertilization"),
+    path("recommend/fertilization/", FertilizationRecommendationView.as_view(), name="recommend-fertilization"),
 ]

rag/views.py

@@ -148,7 +148,7 @@ class ChatView(APIView):
 class IrrigationRecommendationView(APIView):
     """
     توصیه آبیاری به صورت مستقیم.
-    POST با sensor_uuid، plant_name، growth_stage، irrigation_method_name.
+    POST با farm_uuid، plant_name، growth_stage، irrigation_method_name.
     نتیجه همان لحظه برگشت داده می‌شود.
     """
 
@@ -162,7 +162,8 @@ class IrrigationRecommendationView(APIView):
         request=inline_serializer(
             name="IrrigationRecommendationRequest",
             fields={
-                "sensor_uuid": drf_serializers.CharField(help_text="شناسه یکتای سنسور (اجباری)"),
+                "farm_uuid": drf_serializers.CharField(help_text="شناسه یکتای مزرعه (اجباری)"),
+                "sensor_uuid": drf_serializers.CharField(required=False, help_text="نام قدیمی برای farm_uuid"),
                 "plant_name": drf_serializers.CharField(required=False, help_text="نام گیاه"),
                 "growth_stage": drf_serializers.CharField(required=False, help_text="مرحله رشد گیاه"),
                 "irrigation_method_name": drf_serializers.CharField(required=False, help_text="نام روش آبیاری"),
@@ -187,7 +188,7 @@ class IrrigationRecommendationView(APIView):
             OpenApiExample(
                 "نمونه درخواست",
                 value={
-                    "sensor_uuid": "550e8400-e29b-41d4-a716-446655440000",
+                    "farm_uuid": "550e8400-e29b-41d4-a716-446655440000",
                     "plant_name": "گوجه‌فرنگی",
                     "growth_stage": "میوه‌دهی",
                     "irrigation_method_name": "آبیاری قطره‌ای",
@@ -199,23 +200,23 @@ class IrrigationRecommendationView(APIView):
     def post(self, request: Request):
         from rag.services.irrigation import get_irrigation_recommendation
 
-        sensor_uuid = request.data.get("sensor_uuid")
+        farm_uuid = request.data.get("farm_uuid") or request.data.get("sensor_uuid")
-        if not sensor_uuid:
+        if not farm_uuid:
             return Response(
-                {"code": 400, "msg": "پارامتر sensor_uuid الزامی است.", "data": None},
+                {"code": 400, "msg": "پارامتر farm_uuid الزامی است.", "data": None},
                 status=status.HTTP_400_BAD_REQUEST,
             )
 
         try:
             result = get_irrigation_recommendation(
-                sensor_uuid=str(sensor_uuid),
+                farm_uuid=str(farm_uuid),
                 plant_name=request.data.get("plant_name"),
                 growth_stage=request.data.get("growth_stage"),
                 irrigation_method_name=request.data.get("irrigation_method_name"),
                 query=request.data.get("query"),
             )
         except Exception:
-            logger.exception("Direct irrigation recommendation failed for sensor %s", sensor_uuid)
+            logger.exception("Direct irrigation recommendation failed for farm %s", farm_uuid)
             return Response(
                 {"code": 500, "msg": "خطا در تولید توصیه آبیاری.", "data": None},
                 status=status.HTTP_500_INTERNAL_SERVER_ERROR,
@@ -230,7 +231,7 @@ class IrrigationRecommendationView(APIView):
 class FertilizationRecommendationView(APIView):
     """
     توصیه کودهی به صورت مستقیم.
-    POST با sensor_uuid، plant_name، growth_stage.
+    POST با farm_uuid، plant_name، growth_stage.
     نتیجه همان لحظه برگشت داده می‌شود.
     """
 
@@ -244,7 +245,8 @@ class FertilizationRecommendationView(APIView):
         request=inline_serializer(
             name="FertilizationRecommendationRequest",
             fields={
-                "sensor_uuid": drf_serializers.CharField(help_text="شناسه یکتای سنسور (اجباری)"),
+                "farm_uuid": drf_serializers.CharField(help_text="شناسه یکتای مزرعه (اجباری)"),
+                "sensor_uuid": drf_serializers.CharField(required=False, help_text="نام قدیمی برای farm_uuid"),
                 "plant_name": drf_serializers.CharField(required=False, help_text="نام گیاه"),
                 "growth_stage": drf_serializers.CharField(required=False, help_text="مرحله رشد گیاه"),
                 "query": drf_serializers.CharField(required=False, help_text="سوال اختیاری"),
@@ -268,7 +270,7 @@ class FertilizationRecommendationView(APIView):
             OpenApiExample(
                 "نمونه درخواست",
                 value={
-                    "sensor_uuid": "550e8400-e29b-41d4-a716-446655440000",
+                    "farm_uuid": "550e8400-e29b-41d4-a716-446655440000",
                     "plant_name": "گوجه‌فرنگی",
                     "growth_stage": "رویشی",
                 },
@@ -279,22 +281,22 @@ class FertilizationRecommendationView(APIView):
     def post(self, request: Request):
         from rag.services.fertilization import get_fertilization_recommendation
 
-        sensor_uuid = request.data.get("sensor_uuid")
+        farm_uuid = request.data.get("farm_uuid") or request.data.get("sensor_uuid")
-        if not sensor_uuid:
+        if not farm_uuid:
             return Response(
-                {"code": 400, "msg": "پارامتر sensor_uuid الزامی است.", "data": None},
+                {"code": 400, "msg": "پارامتر farm_uuid الزامی است.", "data": None},
                 status=status.HTTP_400_BAD_REQUEST,
             )
 
         try:
             result = get_fertilization_recommendation(
-                sensor_uuid=str(sensor_uuid),
+                farm_uuid=str(farm_uuid),
                 plant_name=request.data.get("plant_name"),
                 growth_stage=request.data.get("growth_stage"),
                 query=request.data.get("query"),
             )
         except Exception:
-            logger.exception("Direct fertilization recommendation failed for sensor %s", sensor_uuid)
+            logger.exception("Direct fertilization recommendation failed for farm %s", farm_uuid)
             return Response(
                 {"code": 500, "msg": "خطا در تولید توصیه کودهی.", "data": None},
                 status=status.HTTP_500_INTERNAL_SERVER_ERROR,

requirements.txt

@@ -31,7 +31,6 @@ numpy>=1.23,<1.27
 pcse
 
 # === Vector Databases ===
-chromadb>=0.4.24,<0.5
 qdrant-client>=1.7,<1.9
 
 # === Utils ===