UPDATE

2026-04-25 17:22:41 +03:30
parent 569d520a5c
commit aa24fc22b0
124 changed files with 8491 additions and 2582 deletions
@@ -0,0 +1,201 @@
+from __future__ import annotations
+
+from datetime import date, timedelta
+from typing import Any
+import uuid
+
+from django.test import TransactionTestCase
+from rest_framework.test import APIClient
+
+from location_data.models import NdviObservation, SoilDepthData, SoilLocation
+from weather.models import WeatherForecast
+
+
+UNSET = object()
+
+
+def square_boundary(lat: float, lon: float, delta: float = 0.01) -> dict[str, Any]:
+    return {
+        "type": "Polygon",
+        "coordinates": [
+            [
+                [lon - delta, lat - delta],
+                [lon + delta, lat - delta],
+                [lon + delta, lat + delta],
+                [lon - delta, lat + delta],
+                [lon - delta, lat - delta],
+            ]
+        ],
+    }
+
+
+class IntegrationAPITestCase(TransactionTestCase):
+    reset_sequences = True
+    databases = {"default"}
+
+    primary_lat = 35.700000
+    primary_lon = 51.400000
+    forecast_start = date.today()
+
+    def setUp(self) -> None:
+        super().setUp()
+        self.client = APIClient()
+        self.primary_boundary = square_boundary(self.primary_lat, self.primary_lon)
+        self.primary_location = self.create_complete_location(
+            lat=self.primary_lat,
+            lon=self.primary_lon,
+            boundary=self.primary_boundary,
+        )
+        self.seed_weather_forecasts(self.primary_location, start=self.forecast_start, days=7)
+        self.seed_ndvi_observation(self.primary_location)
+
+    def create_complete_location(
+        self,
+        *,
+        lat: float,
+        lon: float,
+        boundary: dict[str, Any] | None = None,
+        clay_values: tuple[float, float, float] = (22.0, 18.0, 15.0),
+        nitrogen_values: tuple[float, float, float] = (14.0, 11.0, 8.0),
+    ) -> SoilLocation:
+        location = SoilLocation.objects.create(
+            latitude=f"{lat:.6f}",
+            longitude=f"{lon:.6f}",
+            farm_boundary=boundary or square_boundary(lat, lon),
+        )
+        depth_labels = (
+            SoilDepthData.DEPTH_0_5,
+            SoilDepthData.DEPTH_5_15,
+            SoilDepthData.DEPTH_15_30,
+        )
+        for index, depth_label in enumerate(depth_labels):
+            SoilDepthData.objects.create(
+                soil_location=location,
+                depth_label=depth_label,
+                clay=clay_values[index],
+                nitrogen=nitrogen_values[index],
+                sand=40.0 - (index * 2),
+                silt=25.0 + index,
+                phh2o=6.6 + (index * 0.1),
+                wv0010=0.41 - (index * 0.02),
+                wv0033=0.28 - (index * 0.01),
+                wv1500=0.12 - (index * 0.01),
+            )
+        return location
+
+    def seed_weather_forecasts(
+        self,
+        location: SoilLocation,
+        *,
+        start: date,
+        days: int,
+        temperature_base: float = 22.0,
+        et0_base: float = 3.4,
+    ) -> list[WeatherForecast]:
+        forecasts: list[WeatherForecast] = []
+        for day_index in range(days):
+            forecasts.append(
+                WeatherForecast.objects.create(
+                    location=location,
+                    forecast_date=start + timedelta(days=day_index),
+                    temperature_min=12.0 + day_index,
+                    temperature_max=temperature_base + day_index,
+                    temperature_mean=17.0 + day_index,
+                    precipitation=1.2 if day_index % 3 == 0 else 0.0,
+                    precipitation_probability=35.0 + day_index,
+                    humidity_mean=48.0 + day_index,
+                    wind_speed_max=10.0 + day_index,
+                    et0=et0_base + (day_index * 0.2),
+                    weather_code=0 if day_index == 0 else 2,
+                )
+            )
+        return forecasts
+
+    def seed_ndvi_observation(
+        self,
+        location: SoilLocation,
+        *,
+        observation_date: date | None = None,
+        mean_ndvi: float = 0.73,
+    ) -> NdviObservation:
+        return NdviObservation.objects.create(
+            location=location,
+            observation_date=observation_date or self.forecast_start,
+            mean_ndvi=mean_ndvi,
+            ndvi_map={"type": "FeatureCollection", "features": []},
+            vegetation_health_class="Healthy",
+            satellite_source="sentinel-2",
+            metadata={"suite": "integration"},
+        )
+
+    def create_irrigation_method_via_api(self, name: str, **overrides: Any) -> dict[str, Any]:
+        payload = {
+            "name": name,
+            "category": "localized",
+            "description": "Primary drip line for the farm",
+            "water_efficiency_percent": 91.0,
+            "water_pressure_required": "1.5 bar",
+            "flow_rate": "4 l/h",
+            "coverage_area": "row-based",
+            "soil_type": "loam",
+            "climate_suitability": "dry",
+        }
+        payload.update(overrides)
+        response = self.client.post("/api/irrigation/", data=payload, format="json")
+        self.assertEqual(response.status_code, 201, response.json())
+        return response.json()["data"]
+
+    def create_plant_via_api(self, name: str, **overrides: Any) -> dict[str, Any]:
+        payload = {
+            "name": name,
+            "light": "full sun",
+            "watering": "every 2 days",
+            "soil": "loamy",
+            "temperature": "20-28C",
+            "growth_stage": "vegetative",
+            "planting_season": "spring",
+            "harvest_time": "90 days",
+            "spacing": "50 cm",
+            "fertilizer": "balanced NPK",
+        }
+        payload.update(overrides)
+        response = self.client.post("/api/plants/", data=payload, format="json")
+        self.assertEqual(response.status_code, 201, response.json())
+        return response.json()["data"]
+
+    def create_sensor_parameter_via_api(self, **overrides: Any) -> dict[str, Any]:
+        payload = {
+            "sensor_key": "sensor-7-1",
+            "code": "soil_moisture",
+            "name_fa": "soil moisture",
+            "unit": "%",
+            "data_type": "float",
+            "metadata": {"min": 0, "max": 100},
+        }
+        payload.update(overrides)
+        response = self.client.post("/api/farm-data/parameters/", data=payload, format="json")
+        self.assertEqual(response.status_code, 201, response.json())
+        return response.json()["data"]
+
+    def upsert_farm_via_api(
+        self,
+        *,
+        farm_uuid: uuid.UUID,
+        plant_ids: list[int] | None = None,
+        irrigation_method_id: int | None | object = UNSET,
+        sensor_payload: dict[str, Any] | None = None,
+        boundary: dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        payload: dict[str, Any] = {
+            "farm_uuid": str(farm_uuid),
+            "farm_boundary": boundary or self.primary_boundary,
+        }
+        if plant_ids is not None:
+            payload["plant_ids"] = plant_ids
+        if irrigation_method_id is not UNSET:
+            payload["irrigation_method_id"] = irrigation_method_id
+        if sensor_payload is not None:
+            payload["sensor_payload"] = sensor_payload
+        response = self.client.post("/api/farm-data/", data=payload, format="json")
+        self.assertIn(response.status_code, {200, 201}, response.json())
+        return response.json()["data"]