UPDATE

.gitignore

@@ -60,3 +60,5 @@ htmlcov/
 # OS
 .DS_Store
 Thumbs.db
+
+logs/*

config/__init__.py

@@ -1,3 +1,6 @@
+try:
     from .celery import app as celery_app
+except ImportError:  # pragma: no cover - fallback for test environments
+    celery_app = None
 
 __all__ = ("celery_app",)

config/settings.py

@@ -1,7 +1,12 @@
 import os
+import importlib.util
 from pathlib import Path
 
+try:
     from dotenv import load_dotenv
+except ImportError:  # pragma: no cover - optional in stripped test envs
+    def load_dotenv():
+        return False
 
 load_dotenv()
 
@@ -20,10 +25,6 @@ INSTALLED_APPS = [
     "django.contrib.sessions",
     "django.contrib.messages",
     "django.contrib.staticfiles",
-    "rest_framework",
-    "corsheaders",
-    "drf_spectacular",
-    "drf_spectacular_sidecar",
     "dashboard_data",
     "rag",
     "location_data",
@@ -32,11 +33,20 @@ INSTALLED_APPS = [
     "plant",
     "irrigation",
     "fertilization",
+    "crop_simulation.apps.CropSimulationConfig",
 ]
 
+for optional_app in [
+    "rest_framework",
+    "corsheaders",
+    "drf_spectacular",
+    "drf_spectacular_sidecar",
+]:
+    if importlib.util.find_spec(optional_app):
+        INSTALLED_APPS.insert(6, optional_app)
+
 MIDDLEWARE = [
     "django.middleware.security.SecurityMiddleware",
-    "corsheaders.middleware.CorsMiddleware",
     "django.contrib.sessions.middleware.SessionMiddleware",
     "django.middleware.common.CommonMiddleware",
     "django.middleware.csrf.CsrfViewMiddleware",
@@ -45,6 +55,9 @@ MIDDLEWARE = [
     "django.middleware.clickjacking.XFrameOptionsMiddleware",
 ]
 
+if importlib.util.find_spec("corsheaders"):
+    MIDDLEWARE.insert(1, "corsheaders.middleware.CorsMiddleware")
+
 ROOT_URLCONF = "config.urls"
 WSGI_APPLICATION = "config.wsgi.application"
 
@@ -72,12 +85,12 @@ DATABASES = {
         "PASSWORD": os.environ.get("DB_PASSWORD", ""),
         "HOST": os.environ.get("DB_HOST", "127.0.0.1"),
         "PORT": os.environ.get("DB_PORT", "3306"),
-        "OPTIONS": {
-            "charset": "utf8mb4",
-        },
     }
 }
 
+if DATABASES["default"]["ENGINE"].endswith("mysql"):
+    DATABASES["default"]["OPTIONS"] = {"charset": "utf8mb4"}
+
 AUTH_PASSWORD_VALIDATORS = [
     {"NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator"},
     {"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator"},

config/settings_test.py

@@ -0,0 +1,10 @@
+from .settings import *  # noqa: F403,F401
+
+ROOT_URLCONF = "config.test_urls"
+
+LOGGING = {  # noqa: F405
+    "version": 1,
+    "disable_existing_loggers": False,
+    "handlers": {"console": {"class": "logging.StreamHandler"}},
+    "root": {"handlers": ["console"], "level": "WARNING"},
+}

config/test_urls.py

@@ -0,0 +1,11 @@
+from django.http import HttpResponse
+from django.urls import path
+
+
+def test_view(_request):
+    return HttpResponse("ok")
+
+
+urlpatterns = [
+    path("__test__/", test_view),
+]

crop_simulation/__init__.py

@@ -0,0 +1 @@
+

crop_simulation/apps.py

@@ -0,0 +1,7 @@
+from django.apps import AppConfig
+
+
+class CropSimulationConfig(AppConfig):
+    default_auto_field = "django.db.models.BigAutoField"
+    name = "crop_simulation"
+    verbose_name = "Crop Simulation"

crop_simulation/migrations/0001_initial.py

@@ -0,0 +1,125 @@
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    initial = True
+
+    dependencies = []
+
+    operations = [
+        migrations.CreateModel(
+            name="SimulationScenario",
+            fields=[
+                (
+                    "id",
+                    models.BigAutoField(
+                        auto_created=True,
+                        primary_key=True,
+                        serialize=False,
+                        verbose_name="ID",
+                    ),
+                ),
+                ("name", models.CharField(blank=True, default="", max_length=255)),
+                (
+                    "scenario_type",
+                    models.CharField(
+                        choices=[
+                            ("single", "Single Simulation"),
+                            ("crop_comparison", "Crop Comparison"),
+                            ("fertilization_comparison", "Fertilization Comparison"),
+                        ],
+                        db_index=True,
+                        default="single",
+                        max_length=64,
+                    ),
+                ),
+                (
+                    "model_name",
+                    models.CharField(default="Wofost72_WLP_CWB", max_length=128),
+                ),
+                (
+                    "status",
+                    models.CharField(
+                        choices=[
+                            ("pending", "Pending"),
+                            ("running", "Running"),
+                            ("success", "Success"),
+                            ("failure", "Failure"),
+                        ],
+                        db_index=True,
+                        default="pending",
+                        max_length=32,
+                    ),
+                ),
+                ("input_payload", models.JSONField(blank=True, default=dict)),
+                ("result_payload", models.JSONField(blank=True, default=dict)),
+                ("error_message", models.TextField(blank=True, default="")),
+                ("created_at", models.DateTimeField(auto_now_add=True, db_index=True)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+            ],
+            options={
+                "ordering": ["-created_at"],
+                "verbose_name": "Simulation Scenario",
+                "verbose_name_plural": "Simulation Scenarios",
+            },
+        ),
+        migrations.CreateModel(
+            name="SimulationRun",
+            fields=[
+                (
+                    "id",
+                    models.BigAutoField(
+                        auto_created=True,
+                        primary_key=True,
+                        serialize=False,
+                        verbose_name="ID",
+                    ),
+                ),
+                ("run_key", models.CharField(max_length=64)),
+                ("label", models.CharField(max_length=255)),
+                (
+                    "status",
+                    models.CharField(
+                        choices=[
+                            ("pending", "Pending"),
+                            ("running", "Running"),
+                            ("success", "Success"),
+                            ("failure", "Failure"),
+                        ],
+                        db_index=True,
+                        default="pending",
+                        max_length=32,
+                    ),
+                ),
+                ("weather_payload", models.JSONField(blank=True, default=list)),
+                ("soil_payload", models.JSONField(blank=True, default=dict)),
+                ("crop_payload", models.JSONField(blank=True, default=dict)),
+                ("site_payload", models.JSONField(blank=True, default=dict)),
+                ("agromanagement_payload", models.JSONField(blank=True, default=list)),
+                ("result_payload", models.JSONField(blank=True, default=dict)),
+                ("error_message", models.TextField(blank=True, default="")),
+                ("created_at", models.DateTimeField(auto_now_add=True)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+                (
+                    "scenario",
+                    models.ForeignKey(
+                        on_delete=models.deletion.CASCADE,
+                        related_name="runs",
+                        to="crop_simulation.simulationscenario",
+                    ),
+                ),
+            ],
+            options={
+                "ordering": ["scenario_id", "id"],
+                "verbose_name": "Simulation Run",
+                "verbose_name_plural": "Simulation Runs",
+            },
+        ),
+        migrations.AddConstraint(
+            model_name="simulationrun",
+            constraint=models.UniqueConstraint(
+                fields=("scenario", "run_key"),
+                name="crop_simulation_unique_run_key_per_scenario",
+            ),
+        ),
+    ]

crop_simulation/migrations/__init__.py

@@ -0,0 +1 @@
+

crop_simulation/models.py

@@ -0,0 +1,84 @@
+from django.db import models
+
+
+class SimulationScenario(models.Model):
+    class ScenarioType(models.TextChoices):
+        SINGLE = "single", "Single Simulation"
+        CROP_COMPARISON = "crop_comparison", "Crop Comparison"
+        FERTILIZATION_COMPARISON = (
+            "fertilization_comparison",
+            "Fertilization Comparison",
+        )
+
+    class Status(models.TextChoices):
+        PENDING = "pending", "Pending"
+        RUNNING = "running", "Running"
+        SUCCESS = "success", "Success"
+        FAILURE = "failure", "Failure"
+
+    name = models.CharField(max_length=255, blank=True, default="")
+    scenario_type = models.CharField(
+        max_length=64,
+        choices=ScenarioType.choices,
+        default=ScenarioType.SINGLE,
+        db_index=True,
+    )
+    model_name = models.CharField(max_length=128, default="Wofost72_WLP_CWB")
+    status = models.CharField(
+        max_length=32,
+        choices=Status.choices,
+        default=Status.PENDING,
+        db_index=True,
+    )
+    input_payload = models.JSONField(default=dict, blank=True)
+    result_payload = models.JSONField(default=dict, blank=True)
+    error_message = models.TextField(blank=True, default="")
+    created_at = models.DateTimeField(auto_now_add=True, db_index=True)
+    updated_at = models.DateTimeField(auto_now=True)
+
+    class Meta:
+        ordering = ["-created_at"]
+        verbose_name = "Simulation Scenario"
+        verbose_name_plural = "Simulation Scenarios"
+
+    def __str__(self):
+        return self.name or f"{self.scenario_type}:{self.pk}"
+
+
+class SimulationRun(models.Model):
+    scenario = models.ForeignKey(
+        SimulationScenario,
+        on_delete=models.CASCADE,
+        related_name="runs",
+    )
+    run_key = models.CharField(max_length=64)
+    label = models.CharField(max_length=255)
+    status = models.CharField(
+        max_length=32,
+        choices=SimulationScenario.Status.choices,
+        default=SimulationScenario.Status.PENDING,
+        db_index=True,
+    )
+    weather_payload = models.JSONField(default=list, blank=True)
+    soil_payload = models.JSONField(default=dict, blank=True)
+    crop_payload = models.JSONField(default=dict, blank=True)
+    site_payload = models.JSONField(default=dict, blank=True)
+    agromanagement_payload = models.JSONField(default=list, blank=True)
+    result_payload = models.JSONField(default=dict, blank=True)
+    error_message = models.TextField(blank=True, default="")
+    created_at = models.DateTimeField(auto_now_add=True)
+    updated_at = models.DateTimeField(auto_now=True)
+
+    class Meta:
+        ordering = ["scenario_id", "id"]
+        constraints = [
+            models.UniqueConstraint(
+                fields=["scenario", "run_key"],
+                name="crop_simulation_unique_run_key_per_scenario",
+            )
+        ]
+        verbose_name = "Simulation Run"
+        verbose_name_plural = "Simulation Runs"
+
+    def __str__(self):
+        return f"{self.scenario_id}:{self.run_key}"

crop_simulation/services.py

@@ -0,0 +1,603 @@
+from __future__ import annotations
+
+import importlib
+from dataclasses import dataclass
+from datetime import date, datetime
+from typing import Any
+
+from django.db import transaction
+
+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"]
+
+
+class CropSimulationError(Exception):
+    pass
+
+
+def _json_ready(value: Any) -> Any:
+    if isinstance(value, dict):
+        return {str(key): _json_ready(item) for key, item in value.items()}
+    if isinstance(value, list):
+        return [_json_ready(item) for item in value]
+    if isinstance(value, tuple):
+        return [_json_ready(item) for item in value]
+    if isinstance(value, (date, datetime)):
+        return value.isoformat()
+    return value
+
+
+def _coerce_date(value: Any) -> date:
+    if isinstance(value, date) and not isinstance(value, datetime):
+        return value
+    if isinstance(value, datetime):
+        return value.date()
+    if isinstance(value, str):
+        return date.fromisoformat(value)
+    raise CropSimulationError(f"Unsupported date value: {value!r}")
+
+
+def _normalize_weather_records(weather: Any) -> list[dict[str, Any]]:
+    if isinstance(weather, dict):
+        if "records" in weather:
+            records = weather["records"]
+        else:
+            records = [weather]
+    else:
+        records = weather
+
+    if not isinstance(records, list) or not records:
+        raise CropSimulationError("Weather input must contain at least one record.")
+
+    normalized = []
+    for raw in records:
+        if not isinstance(raw, dict):
+            raise CropSimulationError("Weather records must be dictionaries.")
+        current_date = _coerce_date(raw.get("DAY") or raw.get("day"))
+        normalized.append(
+            {
+                "DAY": current_date,
+                "LAT": float(raw.get("LAT", raw.get("lat", 0.0))),
+                "LON": float(raw.get("LON", raw.get("lon", 0.0))),
+                "ELEV": float(raw.get("ELEV", raw.get("elev", 0.0))),
+                "IRRAD": float(raw.get("IRRAD", raw.get("irrad", 15_000_000.0))),
+                "TMIN": float(raw.get("TMIN", raw.get("tmin", 10.0))),
+                "TMAX": float(raw.get("TMAX", raw.get("tmax", 20.0))),
+                "VAP": float(raw.get("VAP", raw.get("vap", 12.0))),
+                "WIND": float(raw.get("WIND", raw.get("wind", 2.0))),
+                "RAIN": float(raw.get("RAIN", raw.get("rain", 0.0))),
+                "E0": float(raw.get("E0", raw.get("e0", 0.35))),
+                "ES0": float(raw.get("ES0", raw.get("es0", 0.3))),
+                "ET0": float(raw.get("ET0", raw.get("et0", 0.32))),
+            }
+        )
+    return normalized
+
+
+def _normalize_agromanagement(agromanagement: Any) -> list[dict[str, Any]]:
+    if isinstance(agromanagement, dict) and "AgroManagement" in agromanagement:
+        campaigns = agromanagement["AgroManagement"]
+    elif isinstance(agromanagement, list):
+        campaigns = agromanagement
+    elif isinstance(agromanagement, dict):
+        campaigns = [agromanagement]
+    else:
+        raise CropSimulationError("Agromanagement input must be a dict or list.")
+
+    if not campaigns:
+        raise CropSimulationError("Agromanagement input cannot be empty.")
+    return campaigns
+
+
+def _normalize_pcse_output_records(records: Any) -> list[dict[str, Any]]:
+    if records is None:
+        return []
+    if isinstance(records, dict):
+        return [records]
+    if isinstance(records, list):
+        return records
+    if isinstance(records, tuple):
+        return list(records)
+    return [records]
+
+
+def _pick_first_not_none(*values: Any) -> Any:
+    for value in values:
+        if value is not None:
+            return value
+    return None
+
+
+def _extract_total_n(agromanagement: list[dict[str, Any]]) -> float:
+    total_n = 0.0
+    for campaign in agromanagement:
+        if not isinstance(campaign, dict):
+            continue
+        for payload in campaign.values():
+            if not isinstance(payload, dict):
+                continue
+            for bucket_name in ("TimedEvents", "StateEvents"):
+                for event_group in payload.get(bucket_name, []) or []:
+                    if not isinstance(event_group, dict):
+                        continue
+                    for event in event_group.get("events_table", []) or []:
+                        if not isinstance(event, dict):
+                            continue
+                        for event_payload in event.values():
+                            if isinstance(event_payload, dict):
+                                total_n += float(event_payload.get("N_amount", 0.0))
+    return total_n
+
+
+def _load_pcse_bindings() -> dict[str, Any] | None:
+    try:
+        base_module = importlib.import_module("pcse.base")
+        models_module = importlib.import_module("pcse.models")
+    except ImportError:
+        return None
+
+    parameter_provider = getattr(base_module, "ParameterProvider", None)
+    weather_provider = getattr(base_module, "WeatherDataProvider", object)
+    weather_container = getattr(base_module, "WeatherDataContainer", None)
+    if weather_container is None or parameter_provider is None:
+        return None
+
+    return {
+        "ParameterProvider": parameter_provider,
+        "WeatherDataProvider": weather_provider,
+        "WeatherDataContainer": weather_container,
+        "models": models_module,
+    }
+
+
+def _resolve_model_class(bindings: dict[str, Any], model_name: str):
+    models_source = bindings["models"]
+    if isinstance(models_source, dict):
+        return models_source[model_name]
+    return getattr(models_source, model_name)
+
+
+@dataclass
+class PreparedSimulationInput:
+    weather: list[dict[str, Any]]
+    soil: dict[str, Any]
+    crop: dict[str, Any]
+    site: dict[str, Any]
+    agromanagement: list[dict[str, Any]]
+
+
+class PcseSimulationManager:
+    def __init__(self, model_name: str = "Wofost72_WLP_CWB"):
+        self.model_name = model_name
+
+    def run_simulation(
+        self,
+        *,
+        weather: Any,
+        soil: dict[str, Any],
+        crop_parameters: dict[str, Any],
+        agromanagement: Any,
+        site_parameters: dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        prepared = PreparedSimulationInput(
+            weather=_normalize_weather_records(weather),
+            soil=soil or {},
+            crop=crop_parameters or {},
+            site=site_parameters or {},
+            agromanagement=_normalize_agromanagement(agromanagement),
+        )
+        bindings = _load_pcse_bindings()
+        if bindings is None:
+            raise CropSimulationError(
+                "PCSE is not installed or required PCSE classes could not be loaded."
+            )
+        return self._run_with_pcse(prepared, bindings)
+
+    def _run_with_pcse(
+        self,
+        prepared: PreparedSimulationInput,
+        bindings: dict[str, Any],
+    ) -> dict[str, Any]:
+        weather_provider_base = bindings["WeatherDataProvider"]
+        weather_container = bindings["WeatherDataContainer"]
+        parameter_provider_cls = bindings["ParameterProvider"]
+        model_cls = _resolve_model_class(bindings, self.model_name)
+
+        class DictWeatherProvider(weather_provider_base):
+            def __init__(self, records: list[dict[str, Any]]):
+                super().__init__()
+                self._records = {
+                    item["DAY"]: weather_container(**item)
+                    for item in records
+                }
+
+            def __call__(self, day):
+                return self._records[_coerce_date(day)]
+
+        parameter_provider = parameter_provider_cls(
+            cropdata=prepared.crop,
+            soildata=prepared.soil,
+            sitedata=prepared.site,
+        )
+        simulation = model_cls(
+            parameterprovider=parameter_provider,
+            weatherdataprovider=DictWeatherProvider(prepared.weather),
+            agromanagement=prepared.agromanagement,
+            output_vars=DEFAULT_OUTPUT_VARS,
+            summary_vars=DEFAULT_SUMMARY_VARS,
+            terminal_vars=DEFAULT_TERMINAL_VARS,
+        )
+        if hasattr(simulation, "run_till_terminate"):
+            simulation.run_till_terminate()
+        elif hasattr(simulation, "run"):
+            simulation.run(days=len(prepared.weather))
+        else:
+            raise CropSimulationError("PCSE model does not expose a runnable interface.")
+
+        daily_output = _normalize_pcse_output_records(simulation.get_output())
+        summary_output = _normalize_pcse_output_records(simulation.get_summary_output())
+        terminal_output = _normalize_pcse_output_records(simulation.get_terminal_output())
+        return self._build_result(
+            engine="pcse",
+            daily_output=daily_output,
+            summary_output=summary_output,
+            terminal_output=terminal_output,
+        )
+
+    def _build_result(
+        self,
+        *,
+        engine: str,
+        daily_output: list[dict[str, Any]],
+        summary_output: list[dict[str, Any]],
+        terminal_output: list[dict[str, Any]],
+    ) -> dict[str, Any]:
+        terminal = terminal_output[-1] if terminal_output else {}
+        summary = summary_output[-1] if summary_output else {}
+        final_daily = daily_output[-1] if daily_output else {}
+        metrics = {
+            "yield_estimate": _pick_first_not_none(
+                terminal.get("TWSO"),
+                summary.get("TWSO"),
+                final_daily.get("TWSO"),
+            ),
+            "biomass": _pick_first_not_none(
+                terminal.get("TAGP"),
+                summary.get("TAGP"),
+                final_daily.get("TAGP"),
+            ),
+            "max_lai": _pick_first_not_none(
+                terminal.get("LAI"),
+                summary.get("LAIMAX"),
+                final_daily.get("LAI"),
+            ),
+        }
+        return {
+            "engine": engine,
+            "model_name": self.model_name,
+            "metrics": _json_ready(metrics),
+            "daily_output": _json_ready(daily_output),
+            "summary_output": _json_ready(summary_output),
+            "terminal_output": _json_ready(terminal_output),
+        }
+
+
+class CropSimulationService:
+    def __init__(self, manager: PcseSimulationManager | None = None):
+        self.manager = manager or PcseSimulationManager()
+
+    def run_single_simulation(
+        self,
+        *,
+        weather: Any,
+        soil: dict[str, Any],
+        crop_parameters: dict[str, Any],
+        agromanagement: Any,
+        site_parameters: dict[str, Any] | None = None,
+        name: str = "",
+    ) -> dict[str, Any]:
+        scenario = SimulationScenario.objects.create(
+            name=name,
+            scenario_type=SimulationScenario.ScenarioType.SINGLE,
+            model_name=self.manager.model_name,
+            input_payload=_json_ready(
+                {
+                    "weather": weather,
+                    "soil": soil,
+                    "crop_parameters": crop_parameters,
+                    "site_parameters": site_parameters or {},
+                    "agromanagement": agromanagement,
+                }
+            ),
+        )
+        run = SimulationRun.objects.create(
+            scenario=scenario,
+            run_key="single",
+            label=name or "single",
+            weather_payload=_json_ready(weather),
+            soil_payload=_json_ready(soil),
+            crop_payload=_json_ready(crop_parameters),
+            site_payload=_json_ready(site_parameters or {}),
+            agromanagement_payload=_json_ready(agromanagement),
+        )
+        return self._execute_scenario(
+            scenario=scenario,
+            run_specs=[
+                {
+                    "instance": run,
+                    "weather": weather,
+                    "soil": soil,
+                    "crop_parameters": crop_parameters,
+                    "site_parameters": site_parameters or {},
+                    "agromanagement": agromanagement,
+                }
+            ],
+        )
+
+    def compare_crops(
+        self,
+        *,
+        weather: Any,
+        soil: dict[str, Any],
+        crop_a: dict[str, Any],
+        crop_b: dict[str, Any],
+        agromanagement: Any,
+        site_parameters: dict[str, Any] | None = None,
+        name: str = "",
+    ) -> dict[str, Any]:
+        scenario = SimulationScenario.objects.create(
+            name=name,
+            scenario_type=SimulationScenario.ScenarioType.CROP_COMPARISON,
+            model_name=self.manager.model_name,
+            input_payload=_json_ready(
+                {
+                    "weather": weather,
+                    "soil": soil,
+                    "crop_a": crop_a,
+                    "crop_b": crop_b,
+                    "site_parameters": site_parameters or {},
+                    "agromanagement": agromanagement,
+                }
+            ),
+        )
+        runs = [
+            SimulationRun.objects.create(
+                scenario=scenario,
+                run_key="crop_a",
+                label=crop_a.get("crop_name", "crop_a"),
+                weather_payload=_json_ready(weather),
+                soil_payload=_json_ready(soil),
+                crop_payload=_json_ready(crop_a),
+                site_payload=_json_ready(site_parameters or {}),
+                agromanagement_payload=_json_ready(agromanagement),
+            ),
+            SimulationRun.objects.create(
+                scenario=scenario,
+                run_key="crop_b",
+                label=crop_b.get("crop_name", "crop_b"),
+                weather_payload=_json_ready(weather),
+                soil_payload=_json_ready(soil),
+                crop_payload=_json_ready(crop_b),
+                site_payload=_json_ready(site_parameters or {}),
+                agromanagement_payload=_json_ready(agromanagement),
+            ),
+        ]
+        return self._execute_scenario(
+            scenario=scenario,
+            run_specs=[
+                {
+                    "instance": runs[0],
+                    "weather": weather,
+                    "soil": soil,
+                    "crop_parameters": crop_a,
+                    "site_parameters": site_parameters or {},
+                    "agromanagement": agromanagement,
+                },
+                {
+                    "instance": runs[1],
+                    "weather": weather,
+                    "soil": soil,
+                    "crop_parameters": crop_b,
+                    "site_parameters": site_parameters or {},
+                    "agromanagement": agromanagement,
+                },
+            ],
+        )
+
+    def compare_fertilization_strategies(
+        self,
+        *,
+        weather: Any,
+        soil: dict[str, Any],
+        crop_parameters: dict[str, Any],
+        strategies: list[dict[str, Any]],
+        site_parameters: dict[str, Any] | None = None,
+        name: str = "",
+    ) -> dict[str, Any]:
+        if len(strategies) < 2:
+            raise CropSimulationError("At least two fertilization strategies are required.")
+
+        scenario = SimulationScenario.objects.create(
+            name=name,
+            scenario_type=SimulationScenario.ScenarioType.FERTILIZATION_COMPARISON,
+            model_name=self.manager.model_name,
+            input_payload=_json_ready(
+                {
+                    "weather": weather,
+                    "soil": soil,
+                    "crop_parameters": crop_parameters,
+                    "site_parameters": site_parameters or {},
+                    "strategies": strategies,
+                }
+            ),
+        )
+        run_specs = []
+        for index, strategy in enumerate(strategies, start=1):
+            run = SimulationRun.objects.create(
+                scenario=scenario,
+                run_key=f"strategy_{index}",
+                label=strategy.get("label", f"strategy_{index}"),
+                weather_payload=_json_ready(weather),
+                soil_payload=_json_ready(soil),
+                crop_payload=_json_ready(crop_parameters),
+                site_payload=_json_ready(site_parameters or {}),
+                agromanagement_payload=_json_ready(strategy["agromanagement"]),
+            )
+            run_specs.append(
+                {
+                    "instance": run,
+                    "weather": weather,
+                    "soil": soil,
+                    "crop_parameters": crop_parameters,
+                    "site_parameters": site_parameters or {},
+                    "agromanagement": strategy["agromanagement"],
+                }
+            )
+        return self._execute_scenario(scenario=scenario, run_specs=run_specs)
+
+    def get_scenario_result(self, scenario_id: int) -> dict[str, Any]:
+        scenario = SimulationScenario.objects.prefetch_related("runs").get(pk=scenario_id)
+        return {
+            "id": scenario.id,
+            "name": scenario.name,
+            "scenario_type": scenario.scenario_type,
+            "status": scenario.status,
+            "model_name": scenario.model_name,
+            "input_payload": scenario.input_payload,
+            "result_payload": scenario.result_payload,
+            "error_message": scenario.error_message,
+            "runs": [
+                {
+                    "id": run.id,
+                    "run_key": run.run_key,
+                    "label": run.label,
+                    "status": run.status,
+                    "result_payload": run.result_payload,
+                    "error_message": run.error_message,
+                }
+                for run in scenario.runs.all()
+            ],
+        }
+
+    def _execute_scenario(
+        self,
+        *,
+        scenario: SimulationScenario,
+        run_specs: list[dict[str, Any]],
+    ) -> dict[str, Any]:
+        scenario.status = SimulationScenario.Status.RUNNING
+        scenario.error_message = ""
+        scenario.save(update_fields=["status", "error_message", "updated_at"])
+
+        results = []
+        try:
+            for spec in run_specs:
+                run = spec["instance"]
+                run.status = SimulationScenario.Status.RUNNING
+                run.error_message = ""
+                run.save(update_fields=["status", "error_message", "updated_at"])
+                result = self.manager.run_simulation(
+                    weather=spec["weather"],
+                    soil=spec["soil"],
+                    crop_parameters=spec["crop_parameters"],
+                    agromanagement=spec["agromanagement"],
+                    site_parameters=spec["site_parameters"],
+                )
+                run.status = SimulationScenario.Status.SUCCESS
+                run.result_payload = result
+                run.save(update_fields=["status", "result_payload", "updated_at"])
+                results.append(
+                    {
+                        "run_key": run.run_key,
+                        "label": run.label,
+                        "result": result,
+                    }
+                )
+        except Exception as exc:
+            message = str(exc)
+            run = spec["instance"]
+            run.status = SimulationScenario.Status.FAILURE
+            run.error_message = message
+            run.save(update_fields=["status", "error_message", "updated_at"])
+            scenario.status = SimulationScenario.Status.FAILURE
+            scenario.error_message = message
+            scenario.result_payload = {"runs": results}
+            scenario.save(
+                update_fields=["status", "error_message", "result_payload", "updated_at"]
+            )
+            raise
+
+        scenario_result = self._build_scenario_result(scenario, results)
+        scenario.status = SimulationScenario.Status.SUCCESS
+        scenario.result_payload = scenario_result
+        scenario.error_message = ""
+        scenario.save(
+            update_fields=["status", "result_payload", "error_message", "updated_at"]
+        )
+        return scenario_result
+
+    def _build_scenario_result(
+        self,
+        scenario: SimulationScenario,
+        results: list[dict[str, Any]],
+    ) -> dict[str, Any]:
+        payload = {
+            "scenario_id": scenario.id,
+            "scenario_type": scenario.scenario_type,
+            "status": SimulationScenario.Status.SUCCESS,
+            "runs": results,
+        }
+        if scenario.scenario_type == SimulationScenario.ScenarioType.SINGLE:
+            payload["result"] = results[0]["result"]
+            return payload
+
+        run_metrics = [
+            {
+                "run_key": item["run_key"],
+                "label": item["label"],
+                "yield_estimate": float(item["result"]["metrics"]["yield_estimate"] or 0.0),
+                "biomass": float(item["result"]["metrics"]["biomass"] or 0.0),
+            }
+            for item in results
+        ]
+        best = max(run_metrics, key=lambda item: item["yield_estimate"])
+        payload["comparison"] = {
+            "best_run_key": best["run_key"],
+            "best_label": best["label"],
+            "best_yield_estimate": best["yield_estimate"],
+            "runs": run_metrics,
+        }
+        if scenario.scenario_type == SimulationScenario.ScenarioType.CROP_COMPARISON:
+            payload["comparison"]["yield_gap"] = round(
+                abs(run_metrics[0]["yield_estimate"] - run_metrics[1]["yield_estimate"]),
+                3,
+            )
+        if (
+            scenario.scenario_type
+            == SimulationScenario.ScenarioType.FERTILIZATION_COMPARISON
+        ):
+            payload["recommendation"] = {
+                "recommended_run_key": best["run_key"],
+                "recommended_label": best["label"],
+                "expected_yield_estimate": best["yield_estimate"],
+            }
+        return payload
+
+
+@transaction.atomic
+def run_single_simulation(**kwargs) -> dict[str, Any]:
+    return CropSimulationService().run_single_simulation(**kwargs)
+
+
+@transaction.atomic
+def compare_crops(**kwargs) -> dict[str, Any]:
+    return CropSimulationService().compare_crops(**kwargs)
+
+
+@transaction.atomic
+def compare_fertilization_strategies(**kwargs) -> dict[str, Any]:
+    return CropSimulationService().compare_fertilization_strategies(**kwargs)

crop_simulation/test_single_run.py

@@ -0,0 +1,63 @@
+import importlib.util
+import os
+import sqlite3
+import tempfile
+from collections import namedtuple
+from datetime import date, timedelta
+from unittest import skipUnless
+
+from django.test import TestCase
+
+from crop_simulation.services import CropSimulationService, PcseSimulationManager
+
+
+@skipUnless(
+    importlib.util.find_spec("pcse") is not None,
+    "pcse must be installed to run the real WOFOST test.",
+)
+class CropSimulationSingleRunTest(TestCase):
+    def test_single_simulation_prints_response(self):
+        os.environ["HOME"] = tempfile.mkdtemp(prefix="pcse-home-", dir="/tmp")
+        from pcse import settings as pcse_settings
+        from pcse.tests.db_input import (
+            AgroManagementDataProvider,
+            GridWeatherDataProvider,
+            fetch_cropdata,
+            fetch_sitedata,
+            fetch_soildata,
+        )
+
+        def namedtuple_factory(cursor, row):
+            fields = [column[0] for column in cursor.description]
+            cls = namedtuple("Row", fields)
+            return cls._make(row)
+
+        db_path = os.path.join(pcse_settings.PCSE_USER_HOME, "pcse.db")
+        connection = sqlite3.connect(db_path)
+        connection.row_factory = namedtuple_factory
+
+        grid = int(os.environ.get("PCSE_TEST_GRID", "31031"))
+        crop_no = int(os.environ.get("PCSE_TEST_CROP_NO", "1"))
+        year = int(os.environ.get("PCSE_TEST_YEAR", "2000"))
+
+        weather = GridWeatherDataProvider(connection, grid_no=grid).export()
+        soil = fetch_soildata(connection, grid)
+        site = fetch_sitedata(connection, grid, year)
+        crop_parameters = fetch_cropdata(connection, grid, year, crop_no)
+        agromanagement = AgroManagementDataProvider(connection, grid, crop_no, year)
+
+        response = CropSimulationService(
+            manager=PcseSimulationManager(model_name="Wofost72_WLP_CWB")
+        ).run_single_simulation(
+            weather=weather,
+            soil=soil,
+            crop_parameters=crop_parameters,
+            agromanagement=agromanagement,
+            site_parameters=site,
+            name="single real wofost run",
+        )
+
+        connection.close()
+        print("\nCrop Simulation Response:\n", response)
+        self.assertEqual(response["result"]["engine"], "pcse")
+        self.assertIn("yield_estimate", response["result"]["metrics"])

crop_simulation/tests.py

@@ -0,0 +1,199 @@
+import importlib.util
+import os
+import sqlite3
+import tempfile
+from collections import namedtuple
+from datetime import date, timedelta
+from unittest.mock import patch
+from unittest import skipUnless
+
+from django.test import TestCase
+
+from .models import SimulationRun, SimulationScenario
+from .services import CropSimulationService, CropSimulationError, PcseSimulationManager
+
+
+def build_weather(days: int = 5) -> list[dict]:
+    start = date(2026, 4, 1)
+    return [
+        {
+            "DAY": start + timedelta(days=index),
+            "LAT": 35.7,
+            "LON": 51.4,
+            "ELEV": 1200,
+            "IRRAD": 16_000_000 + (index * 100_000),
+            "TMIN": 11 + index,
+            "TMAX": 22 + index,
+            "VAP": 12,
+            "WIND": 2.4,
+            "RAIN": 0.8,
+            "E0": 0.35,
+            "ES0": 0.3,
+            "ET0": 0.32,
+        }
+        for index in range(days)
+    ]
+
+
+def build_agromanagement(n_amount: float = 30.0) -> list[dict]:
+    return [
+        {
+            date(2026, 4, 1): {
+                "CropCalendar": {
+                    "crop_name": "wheat",
+                    "variety_name": "winter-wheat",
+                    "crop_start_date": date(2026, 4, 5),
+                    "crop_start_type": "sowing",
+                    "crop_end_date": date(2026, 9, 1),
+                    "crop_end_type": "harvest",
+                    "max_duration": 180,
+                },
+                "TimedEvents": [
+                    {
+                        "event_signal": "apply_n",
+                        "name": "N strategy",
+                        "events_table": [
+                            {
+                                date(2026, 4, 20): {
+                                    "N_amount": n_amount,
+                                    "N_recovery": 0.7,
+                                }
+                            }
+                        ],
+                    }
+                ],
+                "StateEvents": [],
+            }
+        },
+        {},
+    ]
+
+
+class CropSimulationServiceTests(TestCase):
+    def setUp(self):
+        self.service = CropSimulationService()
+        self.weather = build_weather()
+        self.soil = {"SMFCF": 0.34, "SMW": 0.12, "RDMSOL": 120.0}
+        self.site = {"WAV": 40.0}
+        self.crop = {"crop_name": "wheat", "TSUM1": 800, "YIELD_SCALE": 1.0}
+
+    def test_failure_marks_scenario_and_run_failed(self):
+        with patch.object(
+            self.service.manager,
+            "run_simulation",
+            side_effect=CropSimulationError("pcse failed"),
+        ):
+            with self.assertRaises(CropSimulationError):
+                self.service.run_single_simulation(
+                    weather=self.weather,
+                    soil=self.soil,
+                    crop_parameters=self.crop,
+                    agromanagement=build_agromanagement(),
+                    site_parameters=self.site,
+                    name="broken run",
+                )
+
+        scenario = SimulationScenario.objects.get()
+        run = SimulationRun.objects.get()
+
+        self.assertEqual(scenario.status, SimulationScenario.Status.FAILURE)
+        self.assertEqual(run.status, SimulationScenario.Status.FAILURE)
+        self.assertEqual(scenario.error_message, "pcse failed")
+
+    def test_requires_at_least_two_fertilization_strategies(self):
+        with self.assertRaises(CropSimulationError):
+            self.service.compare_fertilization_strategies(
+                weather=self.weather,
+                soil=self.soil,
+                crop_parameters=self.crop,
+                strategies=[{"label": "only", "agromanagement": build_agromanagement()}],
+                site_parameters=self.site,
+            )
+
+    def test_raises_clear_error_when_pcse_is_unavailable(self):
+        with patch("crop_simulation.services._load_pcse_bindings", return_value=None):
+            with self.assertRaisesMessage(
+                CropSimulationError,
+                "PCSE is not installed or required PCSE classes could not be loaded.",
+            ):
+                self.service.run_single_simulation(
+                    weather=self.weather,
+                    soil=self.soil,
+                    crop_parameters=self.crop,
+                    agromanagement=build_agromanagement(),
+                    site_parameters=self.site,
+                    name="missing pcse",
+                )
+
+
+@skipUnless(
+    importlib.util.find_spec("pcse") is not None,
+    "pcse must be installed to run real WOFOST integration tests.",
+)
+class CropSimulationPcseIntegrationTests(TestCase):
+    def setUp(self):
+        os.environ["HOME"] = tempfile.mkdtemp(prefix="pcse-home-", dir="/tmp")
+        from pcse import settings as pcse_settings
+        from pcse.tests.db_input import (
+            AgroManagementDataProvider,
+            GridWeatherDataProvider,
+            fetch_cropdata,
+            fetch_sitedata,
+            fetch_soildata,
+        )
+
+        def namedtuple_factory(cursor, row):
+            fields = [column[0] for column in cursor.description]
+            cls = namedtuple("Row", fields)
+            return cls._make(row)
+
+        self.grid = int(os.environ.get("PCSE_TEST_GRID", "31031"))
+        self.crop_no = int(os.environ.get("PCSE_TEST_CROP_NO", "1"))
+        self.year = int(os.environ.get("PCSE_TEST_YEAR", "2000"))
+
+        self.connection = sqlite3.connect(
+            os.path.join(pcse_settings.PCSE_USER_HOME, "pcse.db")
+        )
+        self.connection.row_factory = namedtuple_factory
+
+        self.weather = GridWeatherDataProvider(
+            self.connection,
+            grid_no=self.grid,
+        ).export()
+        self.soil = fetch_soildata(self.connection, self.grid)
+        self.site = fetch_sitedata(self.connection, self.grid, self.year)
+        self.crop = fetch_cropdata(
+            self.connection,
+            self.grid,
+            self.year,
+            self.crop_no,
+        )
+        self.agromanagement = AgroManagementDataProvider(
+            self.connection,
+            self.grid,
+            self.crop_no,
+            self.year,
+        )
+        self.service = CropSimulationService(
+            manager=PcseSimulationManager(model_name="Wofost72_WLP_CWB")
+        )
+
+    def tearDown(self):
+        self.connection.close()
+
+    def test_real_wofost_execute_full_service_path(self):
+        result = self.service.run_single_simulation(
+            weather=self.weather,
+            soil=self.soil,
+            crop_parameters=self.crop,
+            agromanagement=self.agromanagement,
+            site_parameters=self.site,
+            name="pcse path",
+        )
+
+        scenario = SimulationScenario.objects.get()
+
+        self.assertEqual(scenario.status, SimulationScenario.Status.SUCCESS)
+        self.assertEqual(result["result"]["engine"], "pcse")
+        self.assertIsNotNone(result["result"]["metrics"]["yield_estimate"])
+        self.assertIsNotNone(result["result"]["metrics"]["biomass"])

rag/api_provider.py

@@ -4,7 +4,12 @@ Adapter Pattern برای API providers — سوئیچ بین GapGPT، Avalai و
 import logging
 import os
 
+try:
     from openai import OpenAI
+except ImportError:  # pragma: no cover - optional for stripped test envs
+    class OpenAI:  # type: ignore[override]
+        def __init__(self, *args, **kwargs):
+            raise ImportError("openai package is required for RAG clients.")
 
 from .config import RAGConfig, load_rag_config
 

requirements.txt

@@ -28,6 +28,7 @@ openai>=1.0,<1.40
 
 # === NumPy (pinned for Python 3.10 compatibility) ===
 numpy>=1.23,<1.27
+pcse
 
 # === Vector Databases ===
 chromadb>=0.4.24,<0.5