937 lines
40 KiB
Python
937 lines
40 KiB
Python
from datetime import date
|
|
from unittest.mock import patch
|
|
import uuid
|
|
|
|
from django.test import TestCase
|
|
from rest_framework.test import APIClient
|
|
|
|
from location_data.models import (
|
|
AnalysisGridCell,
|
|
AnalysisGridObservation,
|
|
BlockSubdivision,
|
|
RemoteSensingClusterAssignment,
|
|
RemoteSensingClusterBlock,
|
|
RemoteSensingRun,
|
|
RemoteSensingSubdivisionResult,
|
|
SoilLocation,
|
|
)
|
|
from farm_data.models import Device, PlantCatalogSnapshot, SensorData, SensorParameter
|
|
from farm_data.services import (
|
|
assign_farm_plants_from_backend_ids,
|
|
build_ai_farm_snapshot,
|
|
get_canonical_farm_record,
|
|
get_runtime_plant_for_farm,
|
|
list_runtime_plants_for_farm,
|
|
)
|
|
from irrigation.models import IrrigationMethod
|
|
from weather.models import WeatherForecast
|
|
|
|
from farm_data.services import resolve_center_location_from_boundary
|
|
|
|
|
|
def square_boundary_for_center(lat: float, lon: float, delta: float = 0.01) -> dict:
|
|
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 FarmDetailApiTests(TestCase):
|
|
def setUp(self):
|
|
self.client = APIClient()
|
|
self.location = SoilLocation.objects.create(
|
|
latitude="35.700000",
|
|
longitude="51.400000",
|
|
farm_boundary={"type": "Polygon", "coordinates": []},
|
|
)
|
|
self.weather = WeatherForecast.objects.create(
|
|
location=self.location,
|
|
forecast_date=date(2026, 4, 10),
|
|
temperature_min=12.0,
|
|
temperature_max=23.0,
|
|
temperature_mean=18.0,
|
|
precipitation=1.2,
|
|
humidity_mean=52.0,
|
|
)
|
|
self.plant1 = PlantCatalogSnapshot.objects.create(backend_plant_id=101, name="گوجهفرنگی")
|
|
self.plant2 = PlantCatalogSnapshot.objects.create(backend_plant_id=102, name="خیار")
|
|
self.irrigation_method = IrrigationMethod.objects.create(name="آبیاری قطرهای")
|
|
self.farm_uuid = uuid.uuid4()
|
|
self.farm = SensorData.objects.create(
|
|
farm_uuid=self.farm_uuid,
|
|
center_location=self.location,
|
|
weather_forecast=self.weather,
|
|
irrigation_method=self.irrigation_method,
|
|
sensor_payload={
|
|
"sensor-7-1": {
|
|
"soil_moisture": 33.5,
|
|
"nitrogen": 99.0,
|
|
}
|
|
},
|
|
)
|
|
assign_farm_plants_from_backend_ids(self.farm, [self.plant2.backend_plant_id, self.plant1.backend_plant_id])
|
|
|
|
def test_canonical_plant_runtime_path_uses_assignments_not_legacy_relation(self):
|
|
farm = get_canonical_farm_record(str(self.farm_uuid))
|
|
|
|
self.assertIsNotNone(farm)
|
|
self.assertEqual([plant.name for plant in list_runtime_plants_for_farm(farm)], ["خیار", "گوجهفرنگی"])
|
|
self.assertEqual(get_runtime_plant_for_farm(farm).name, "خیار")
|
|
|
|
def test_assignment_sync_reconciles_legacy_relation_for_transition(self):
|
|
self.assertEqual(list(self.farm.plants.values_list("name", flat=True)), ["خیار", "گوجهفرنگی"])
|
|
|
|
def test_runtime_plant_lookup_resolves_by_name_from_canonical_assignments(self):
|
|
farm = get_canonical_farm_record(str(self.farm_uuid))
|
|
|
|
resolved = get_runtime_plant_for_farm(farm, plant_name="گوجهفرنگی")
|
|
|
|
self.assertIsNotNone(resolved)
|
|
self.assertEqual(resolved.name, "گوجهفرنگی")
|
|
self.assertEqual(resolved.id, self.plant1.backend_plant_id)
|
|
|
|
def test_returns_farm_detail_and_prioritizes_sensor_metrics_over_soil(self):
|
|
response = self.client.get(f"/api/farm-data/{self.farm_uuid}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 200)
|
|
payload = response.json()["data"]
|
|
|
|
self.assertNotIn("farm_uuid", payload)
|
|
self.assertEqual(payload["center_location"]["id"], self.location.id)
|
|
self.assertEqual(payload["weather"]["id"], self.weather.id)
|
|
self.assertEqual(
|
|
payload["sensor_payload"]["sensor-7-1"]["soil_moisture"],
|
|
33.5,
|
|
)
|
|
self.assertIn("sensor_schema", payload)
|
|
self.assertEqual(payload["sensor_schema"]["sensor-7-1"][0]["code"], "nitrogen")
|
|
|
|
resolved_metrics = payload["soil"]["resolved_metrics"]
|
|
metric_sources = payload["soil"]["metric_sources"]
|
|
|
|
self.assertEqual(resolved_metrics["nitrogen"], 99.0)
|
|
self.assertEqual(metric_sources["nitrogen"]["type"], "sensor")
|
|
self.assertEqual(metric_sources["nitrogen"]["strategy"], "single_value")
|
|
self.assertEqual(payload["soil"]["satellite_snapshots"], [])
|
|
self.assertCountEqual(payload["plant_ids"], [self.plant1.backend_plant_id, self.plant2.backend_plant_id])
|
|
self.assertEqual(len(payload["plants"]), 2)
|
|
returned_plants = {item["id"]: item for item in payload["plants"]}
|
|
self.assertEqual(returned_plants[self.plant1.backend_plant_id]["name"], self.plant1.name)
|
|
self.assertEqual(returned_plants[self.plant2.backend_plant_id]["name"], self.plant2.name)
|
|
self.assertIn("light", returned_plants[self.plant1.backend_plant_id])
|
|
self.assertEqual(len(payload["plant_assignments"]), 2)
|
|
self.assertEqual(payload["irrigation_method_id"], self.irrigation_method.id)
|
|
self.assertEqual(payload["irrigation_method"]["name"], self.irrigation_method.name)
|
|
|
|
def test_returns_404_when_farm_is_missing(self):
|
|
response = self.client.get(f"/api/farm-data/{uuid.uuid4()}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 404)
|
|
self.assertEqual(response.json()["msg"], "farm یافت نشد.")
|
|
|
|
def test_aggregates_conflicting_metrics_from_multiple_sensors_without_overwrite(self):
|
|
self.farm.sensor_payload = {
|
|
"sensor-a": {
|
|
"soil_moisture": 20.0,
|
|
"nitrogen": 90.0,
|
|
"status": "ok",
|
|
},
|
|
"sensor-b": {
|
|
"soil_moisture": 40.0,
|
|
"nitrogen": 110.0,
|
|
"status": "needs-check",
|
|
},
|
|
}
|
|
self.farm.save(update_fields=["sensor_payload"])
|
|
|
|
response = self.client.get(f"/api/farm-data/{self.farm_uuid}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 200)
|
|
payload = response.json()["data"]
|
|
resolved_metrics = payload["soil"]["resolved_metrics"]
|
|
metric_sources = payload["soil"]["metric_sources"]
|
|
|
|
self.assertEqual(resolved_metrics["soil_moisture"], 30.0)
|
|
self.assertEqual(metric_sources["soil_moisture"]["strategy"], "average")
|
|
self.assertCountEqual(
|
|
metric_sources["soil_moisture"]["sensor_keys"],
|
|
["sensor-a", "sensor-b"],
|
|
)
|
|
self.assertEqual(metric_sources["soil_moisture"]["distinct_values"], [20.0, 40.0])
|
|
self.assertEqual(resolved_metrics["status"], ["ok", "needs-check"])
|
|
self.assertEqual(metric_sources["status"]["strategy"], "distinct_values")
|
|
|
|
def test_detail_auto_registers_unknown_sensor_parameters(self):
|
|
self.farm.sensor_payload = {
|
|
"leaf-sensor": {
|
|
"leaf_wetness": 11.0,
|
|
"leaf_temperature": 19.8,
|
|
}
|
|
}
|
|
self.farm.save(update_fields=["sensor_payload"])
|
|
|
|
response = self.client.get(f"/api/farm-data/{self.farm_uuid}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 200)
|
|
payload = response.json()["data"]
|
|
leaf_schema = payload["sensor_schema"]["leaf-sensor"]
|
|
self.assertCountEqual(
|
|
[item["code"] for item in leaf_schema],
|
|
["leaf_temperature", "leaf_wetness"],
|
|
)
|
|
self.assertTrue(
|
|
SensorParameter.objects.filter(sensor_key="leaf-sensor", code="leaf_wetness").exists()
|
|
)
|
|
|
|
def test_detail_aggregates_satellite_and_sensor_metrics_from_kmeans_sub_blocks_to_main_block(self):
|
|
subdivision = BlockSubdivision.objects.create(
|
|
soil_location=self.location,
|
|
block_code="block-1",
|
|
source_boundary=square_boundary_for_center(35.7, 51.4, delta=0.002),
|
|
chunk_size_sqm=900,
|
|
status="subdivided",
|
|
)
|
|
run = RemoteSensingRun.objects.create(
|
|
soil_location=self.location,
|
|
block_subdivision=subdivision,
|
|
block_code="block-1",
|
|
chunk_size_sqm=900,
|
|
temporal_start=date(2026, 4, 1),
|
|
temporal_end=date(2026, 4, 30),
|
|
status=RemoteSensingRun.STATUS_SUCCESS,
|
|
)
|
|
result = RemoteSensingSubdivisionResult.objects.create(
|
|
soil_location=self.location,
|
|
run=run,
|
|
block_subdivision=subdivision,
|
|
block_code="block-1",
|
|
chunk_size_sqm=900,
|
|
temporal_start=run.temporal_start,
|
|
temporal_end=run.temporal_end,
|
|
cluster_count=2,
|
|
selected_features=["ndvi", "ndwi", "soil_vv_db"],
|
|
metadata={"used_cell_count": 3, "cluster_summaries": []},
|
|
)
|
|
cell_payloads = [
|
|
("cell-1", 0, 0.2, 10.0),
|
|
("cell-2", 0, 0.4, 12.0),
|
|
("cell-3", 1, 0.9, 20.0),
|
|
]
|
|
created_cells = []
|
|
for index, (cell_code, cluster_label, ndvi, ndwi) in enumerate(cell_payloads):
|
|
cell = AnalysisGridCell.objects.create(
|
|
soil_location=self.location,
|
|
block_subdivision=subdivision,
|
|
block_code="block-1",
|
|
cell_code=cell_code,
|
|
chunk_size_sqm=900,
|
|
geometry=square_boundary_for_center(35.7 + (index * 0.0001), 51.4 + (index * 0.0001), delta=0.00005),
|
|
centroid_lat=f"{35.7000 + (index * 0.0001):.6f}",
|
|
centroid_lon=f"{51.4000 + (index * 0.0001):.6f}",
|
|
)
|
|
created_cells.append((cell, cluster_label))
|
|
AnalysisGridObservation.objects.create(
|
|
cell=cell,
|
|
run=run,
|
|
temporal_start=run.temporal_start,
|
|
temporal_end=run.temporal_end,
|
|
ndvi=ndvi,
|
|
ndwi=ndwi,
|
|
soil_vv_db=-8.0 - index,
|
|
)
|
|
RemoteSensingClusterAssignment.objects.create(
|
|
result=result,
|
|
cell=cell,
|
|
cluster_label=cluster_label,
|
|
raw_feature_values={},
|
|
scaled_feature_values={},
|
|
)
|
|
|
|
cluster_0 = RemoteSensingClusterBlock.objects.create(
|
|
result=result,
|
|
soil_location=self.location,
|
|
block_subdivision=subdivision,
|
|
block_code="block-1",
|
|
sub_block_code="cluster-0",
|
|
cluster_label=0,
|
|
chunk_size_sqm=900,
|
|
centroid_lat="35.700050",
|
|
centroid_lon="51.400050",
|
|
cell_count=2,
|
|
cell_codes=["cell-1", "cell-2"],
|
|
geometry=square_boundary_for_center(35.70005, 51.40005, delta=0.00008),
|
|
metadata={},
|
|
)
|
|
cluster_1 = RemoteSensingClusterBlock.objects.create(
|
|
result=result,
|
|
soil_location=self.location,
|
|
block_subdivision=subdivision,
|
|
block_code="block-1",
|
|
sub_block_code="cluster-1",
|
|
cluster_label=1,
|
|
chunk_size_sqm=900,
|
|
centroid_lat="35.700200",
|
|
centroid_lon="51.400200",
|
|
cell_count=1,
|
|
cell_codes=["cell-3"],
|
|
geometry=square_boundary_for_center(35.7002, 51.4002, delta=0.00008),
|
|
metadata={},
|
|
)
|
|
self.location.block_layout = {
|
|
"input_block_count": 1,
|
|
"default_full_farm": True,
|
|
"algorithm_status": "completed",
|
|
"blocks": [
|
|
{
|
|
"block_code": "block-1",
|
|
"order": 1,
|
|
"source": "input",
|
|
"boundary": square_boundary_for_center(35.7, 51.4, delta=0.002),
|
|
"needs_subdivision": True,
|
|
"sub_blocks": [
|
|
{
|
|
"cluster_uuid": str(cluster_0.uuid),
|
|
"sub_block_code": "cluster-0",
|
|
"cluster_label": 0,
|
|
},
|
|
{
|
|
"cluster_uuid": str(cluster_1.uuid),
|
|
"sub_block_code": "cluster-1",
|
|
"cluster_label": 1,
|
|
},
|
|
],
|
|
}
|
|
],
|
|
}
|
|
self.location.save(update_fields=["block_layout", "updated_at"])
|
|
self.farm.sensor_payload = {
|
|
"sensor-a": {
|
|
"cluster_uuid": str(cluster_0.uuid),
|
|
"soil_moisture": 10.0,
|
|
"nitrogen": 100.0,
|
|
},
|
|
"sensor-b": {
|
|
"cluster_uuid": str(cluster_0.uuid),
|
|
"soil_moisture": 20.0,
|
|
"nitrogen": 80.0,
|
|
},
|
|
"sensor-c": {
|
|
"cluster_uuid": str(cluster_1.uuid),
|
|
"soil_moisture": 30.0,
|
|
"nitrogen": 60.0,
|
|
},
|
|
}
|
|
self.farm.save(update_fields=["sensor_payload", "updated_at"])
|
|
|
|
response = self.client.get(f"/api/farm-data/{self.farm_uuid}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 200)
|
|
payload = response.json()["data"]
|
|
block_snapshot = payload["soil"]["satellite_snapshots"][0]
|
|
self.assertEqual(block_snapshot["block_code"], "block-1")
|
|
self.assertEqual(block_snapshot["sub_block_count"], 2)
|
|
self.assertEqual(block_snapshot["satellite_metrics"]["ndvi"], 0.6)
|
|
self.assertEqual(block_snapshot["satellite_metrics"]["ndwi"], 15.5)
|
|
self.assertEqual(block_snapshot["sensor_metrics"]["soil_moisture"], 22.5)
|
|
self.assertEqual(block_snapshot["sensor_metrics"]["nitrogen"], 75.0)
|
|
self.assertEqual(block_snapshot["resolved_metrics"]["soil_moisture"], 22.5)
|
|
self.assertEqual(block_snapshot["metric_sources"]["ndvi"]["strategy"], "sub_block_mean_average")
|
|
self.assertEqual(block_snapshot["metric_sources"]["soil_moisture"]["strategy"], "sub_block_mean_average")
|
|
self.assertEqual(len(block_snapshot["satellite_sub_blocks"]), 2)
|
|
self.assertEqual(len(block_snapshot["sensor_sub_blocks"]), 2)
|
|
block_layout = payload["center_location"]["block_layout"]
|
|
self.assertEqual(
|
|
block_layout["blocks"][0]["aggregated_metrics"]["resolved_metrics"]["soil_moisture"],
|
|
22.5,
|
|
)
|
|
self.assertEqual(
|
|
block_layout["blocks"][0]["aggregated_metrics"]["satellite_metrics"]["ndvi"],
|
|
0.6,
|
|
)
|
|
|
|
def test_detail_uses_farmer_aggregated_snapshot_as_canonical_soil_source(self):
|
|
self.location.block_layout = {
|
|
"blocks": [
|
|
{"block_code": "block-a", "order": 1},
|
|
{"block_code": "block-b", "order": 2},
|
|
]
|
|
}
|
|
self.location.save(update_fields=["block_layout", "updated_at"])
|
|
|
|
with patch("farm_data.services.build_farmer_block_aggregated_snapshot") as aggregated_mock, patch(
|
|
"farm_data.services.build_location_block_satellite_snapshots"
|
|
) as block_mock:
|
|
aggregated_mock.return_value = {
|
|
"status": "completed",
|
|
"aggregation_strategy": "farmer_block_mean",
|
|
"block_count": 2,
|
|
"resolved_metrics": {"nitrogen": 42.0, "ndvi": 0.61},
|
|
"metric_sources": {
|
|
"nitrogen": {"type": "farmer_block", "strategy": "average_of_main_blocks", "block_count": 2},
|
|
"ndvi": {"type": "farmer_block", "strategy": "average_of_main_blocks", "block_count": 2},
|
|
},
|
|
}
|
|
block_mock.return_value = [
|
|
{
|
|
"status": "completed",
|
|
"block_code": "block-a",
|
|
"resolved_metrics": {"nitrogen": 20.0, "ndvi": 0.5},
|
|
"metric_sources": {},
|
|
"satellite_sub_blocks": [{"sub_block_code": "cluster-a"}],
|
|
"sensor_sub_blocks": [],
|
|
},
|
|
{
|
|
"status": "completed",
|
|
"block_code": "block-b",
|
|
"resolved_metrics": {"nitrogen": 64.0, "ndvi": 0.72},
|
|
"metric_sources": {},
|
|
"satellite_sub_blocks": [{"sub_block_code": "cluster-b"}],
|
|
"sensor_sub_blocks": [],
|
|
},
|
|
]
|
|
|
|
response = self.client.get(f"/api/farm-data/{self.farm_uuid}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 200)
|
|
payload = response.json()["data"]
|
|
self.assertEqual(payload["soil"]["resolved_metrics"]["nitrogen"], 42.0)
|
|
self.assertEqual(payload["soil"]["resolved_metrics"]["ndvi"], 0.61)
|
|
self.assertEqual(payload["soil"]["source_metadata"]["canonical_source"], "farmer_block_aggregated_snapshot")
|
|
self.assertEqual(payload["soil"]["source_metadata"]["policy"]["sensor"], "cluster_mean -> block_mean -> farm_mean")
|
|
self.assertEqual(payload["source_metadata"]["weather"]["scope"], "location_center_based")
|
|
self.assertEqual(len(payload["soil"]["block_snapshots"]), 2)
|
|
self.assertEqual(len(payload["soil"]["cluster_breakdown"]), 2)
|
|
aggregated_mock.assert_called_once()
|
|
block_mock.assert_called_once()
|
|
|
|
def test_detail_without_explicit_blocks_keeps_aggregated_snapshot_and_marks_compatibility_policy(self):
|
|
with patch("farm_data.services.build_farmer_block_aggregated_snapshot") as aggregated_mock, patch(
|
|
"farm_data.services.build_location_block_satellite_snapshots"
|
|
) as block_mock:
|
|
aggregated_mock.return_value = {
|
|
"status": "completed",
|
|
"aggregation_strategy": "farmer_block_mean",
|
|
"block_count": 1,
|
|
"resolved_metrics": {"ndvi": 0.55},
|
|
"metric_sources": {
|
|
"ndvi": {"type": "farmer_block", "strategy": "average_of_main_blocks", "block_count": 1},
|
|
},
|
|
}
|
|
block_mock.return_value = [
|
|
{
|
|
"status": "completed",
|
|
"block_code": "",
|
|
"resolved_metrics": {"ndvi": 0.55},
|
|
"metric_sources": {},
|
|
"satellite_sub_blocks": [],
|
|
"sensor_sub_blocks": [],
|
|
}
|
|
]
|
|
|
|
response = self.client.get(f"/api/farm-data/{self.farm_uuid}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 200)
|
|
payload = response.json()["data"]
|
|
self.assertEqual(payload["soil"]["resolved_metrics"]["ndvi"], 0.55)
|
|
self.assertEqual(payload["soil"]["resolved_metrics"]["nitrogen"], 99.0)
|
|
self.assertFalse(payload["soil"]["source_metadata"]["has_explicit_blocks"])
|
|
self.assertTrue(payload["soil"]["source_metadata"]["compatibility_sensor_overlay_applied"])
|
|
self.assertEqual(payload["soil"]["metric_sources"]["nitrogen"]["type"], "sensor")
|
|
|
|
def test_detail_canonical_soil_metrics_do_not_come_from_single_raw_location_snapshot(self):
|
|
with patch("farm_data.services.build_farmer_block_aggregated_snapshot") as aggregated_mock, patch(
|
|
"farm_data.services.build_location_block_satellite_snapshots"
|
|
) as block_mock:
|
|
aggregated_mock.return_value = {
|
|
"status": "completed",
|
|
"aggregation_strategy": "farmer_block_mean",
|
|
"block_count": 1,
|
|
"resolved_metrics": {"soil_moisture": 12.0},
|
|
"metric_sources": {
|
|
"soil_moisture": {"type": "farmer_block", "strategy": "average_of_main_blocks", "block_count": 1},
|
|
},
|
|
}
|
|
block_mock.return_value = [
|
|
{
|
|
"status": "completed",
|
|
"block_code": "block-1",
|
|
"resolved_metrics": {"soil_moisture": 77.0},
|
|
"metric_sources": {},
|
|
"satellite_sub_blocks": [],
|
|
"sensor_sub_blocks": [],
|
|
}
|
|
]
|
|
|
|
response = self.client.get(f"/api/farm-data/{self.farm_uuid}/detail/")
|
|
|
|
self.assertEqual(response.status_code, 200)
|
|
payload = response.json()["data"]
|
|
self.assertEqual(payload["soil"]["resolved_metrics"]["soil_moisture"], 12.0)
|
|
self.assertNotEqual(
|
|
payload["soil"]["resolved_metrics"]["soil_moisture"],
|
|
payload["soil"]["block_snapshots"][0]["resolved_metrics"]["soil_moisture"],
|
|
)
|
|
|
|
|
|
class BuildAiFarmSnapshotTests(TestCase):
|
|
def setUp(self):
|
|
self.location = SoilLocation.objects.create(
|
|
latitude="35.700000",
|
|
longitude="51.400000",
|
|
farm_boundary={"type": "Polygon", "coordinates": []},
|
|
)
|
|
self.weather = WeatherForecast.objects.create(
|
|
location=self.location,
|
|
forecast_date=date(2026, 4, 10),
|
|
temperature_min=12.0,
|
|
temperature_max=23.0,
|
|
temperature_mean=18.0,
|
|
precipitation=1.2,
|
|
humidity_mean=52.0,
|
|
)
|
|
self.plant = PlantCatalogSnapshot.objects.create(backend_plant_id=201, name="ذرت")
|
|
self.irrigation_method = IrrigationMethod.objects.create(name="تیپ")
|
|
self.farm_uuid = uuid.uuid4()
|
|
self.farm = SensorData.objects.create(
|
|
farm_uuid=self.farm_uuid,
|
|
center_location=self.location,
|
|
weather_forecast=self.weather,
|
|
irrigation_method=self.irrigation_method,
|
|
sensor_payload={"sensor-1": {"soil_moisture": 30.0}},
|
|
)
|
|
assign_farm_plants_from_backend_ids(self.farm, [self.plant.backend_plant_id])
|
|
|
|
def test_build_ai_farm_snapshot_returns_normalized_block_and_sub_block_metrics(self):
|
|
with patch("farm_data.services.build_farmer_block_aggregated_snapshot") as aggregated_mock, patch(
|
|
"farm_data.services.build_location_block_satellite_snapshots"
|
|
) as block_mock:
|
|
aggregated_mock.return_value = {
|
|
"status": "completed",
|
|
"aggregation_strategy": "farmer_block_mean",
|
|
"block_count": 1,
|
|
"resolved_metrics": {"ndvi": 0.6, "soil_moisture": 24.0},
|
|
"metric_sources": {"ndvi": {"type": "farmer_block"}, "soil_moisture": {"type": "farmer_block"}},
|
|
}
|
|
block_mock.return_value = [
|
|
{
|
|
"status": "completed",
|
|
"block_code": "block-1",
|
|
"aggregation_strategy": "sub_block_mean",
|
|
"resolved_metrics": {"ndvi": 0.6, "soil_moisture": 24.0},
|
|
"metric_sources": {"ndvi": {"type": "satellite"}, "soil_moisture": {"type": "sensor"}},
|
|
"satellite_metrics": {"ndvi": 0.6},
|
|
"sensor_metrics": {"soil_moisture": 24.0},
|
|
"sub_block_count": 2,
|
|
"run_id": 91,
|
|
"cell_count": 8,
|
|
"temporal_extent": {"start_date": "2026-04-01", "end_date": "2026-04-30"},
|
|
"satellite_sub_blocks": [
|
|
{"sub_block_code": "cluster-a", "resolved_metrics": {"ndvi": 0.5}},
|
|
{"sub_block_code": "cluster-b", "resolved_metrics": {"ndvi": 0.7}},
|
|
],
|
|
"sensor_sub_blocks": [
|
|
{"sub_block_code": "cluster-a", "resolved_metrics": {"soil_moisture": 20.0}},
|
|
{"sub_block_code": "cluster-b", "resolved_metrics": {"soil_moisture": 28.0}},
|
|
],
|
|
}
|
|
]
|
|
|
|
snapshot = build_ai_farm_snapshot(str(self.farm_uuid))
|
|
|
|
self.assertIsNotNone(snapshot)
|
|
self.assertEqual(snapshot["farm_uuid"], str(self.farm_uuid))
|
|
self.assertEqual(snapshot["aggregation_policy"]["sensor"], "cluster_mean_then_block_mean_then_farm_mean")
|
|
self.assertEqual(snapshot["farm_metrics"]["resolved_metrics"]["soil_moisture"], 24.0)
|
|
self.assertEqual(snapshot["block_metrics"][0]["block_code"], "block-1")
|
|
self.assertEqual(snapshot["block_metrics"][0]["source_metadata"]["run_id"], 91)
|
|
self.assertEqual(len(snapshot["sub_block_metrics"]), 2)
|
|
self.assertEqual(snapshot["sub_block_metrics"][0]["source_metadata"]["satellite_present"], True)
|
|
self.assertEqual(snapshot["sub_block_metrics"][0]["source_metadata"]["sensor_present"], True)
|
|
self.assertEqual(snapshot["weather"]["source_metadata"]["scope"], "location_center_based")
|
|
self.assertEqual(len(snapshot["plants"]), 1)
|
|
self.assertEqual(snapshot["irrigation_method"]["details"]["name"], self.irrigation_method.name)
|
|
|
|
def test_build_ai_farm_snapshot_without_explicit_subdivisions_uses_default_compatibility_shape(self):
|
|
with patch("farm_data.services.build_farmer_block_aggregated_snapshot") as aggregated_mock, patch(
|
|
"farm_data.services.build_location_block_satellite_snapshots"
|
|
) as block_mock:
|
|
aggregated_mock.return_value = {
|
|
"status": "completed",
|
|
"aggregation_strategy": "farmer_block_mean",
|
|
"block_count": 1,
|
|
"resolved_metrics": {"ndvi": 0.55},
|
|
"metric_sources": {"ndvi": {"type": "farmer_block"}},
|
|
}
|
|
block_mock.return_value = [
|
|
{
|
|
"status": "completed",
|
|
"block_code": "",
|
|
"resolved_metrics": {"ndvi": 0.55},
|
|
"metric_sources": {"ndvi": {"type": "satellite"}},
|
|
"satellite_metrics": {"ndvi": 0.55},
|
|
"sensor_metrics": {},
|
|
"satellite_sub_blocks": [],
|
|
"sensor_sub_blocks": [],
|
|
}
|
|
]
|
|
|
|
snapshot = build_ai_farm_snapshot(str(self.farm_uuid))
|
|
|
|
self.assertEqual(snapshot["block_metrics"][0]["block_code"], "default-block")
|
|
self.assertEqual(snapshot["sub_block_metrics"][0]["sub_block_code"], "default-sub-block")
|
|
self.assertEqual(
|
|
snapshot["sub_block_metrics"][0]["source_metadata"]["source"],
|
|
"default_sub_block_compatibility",
|
|
)
|
|
self.assertEqual(
|
|
snapshot["aggregation_policy"]["default_block_policy"],
|
|
"1_main_block + 1_default_sub_block_when_missing",
|
|
)
|
|
|
|
def test_build_ai_farm_snapshot_handles_missing_sensor_data(self):
|
|
self.farm.sensor_payload = None
|
|
self.farm.save(update_fields=["sensor_payload"])
|
|
|
|
with patch("farm_data.services.build_farmer_block_aggregated_snapshot") as aggregated_mock, patch(
|
|
"farm_data.services.build_location_block_satellite_snapshots"
|
|
) as block_mock:
|
|
aggregated_mock.return_value = {
|
|
"status": "completed",
|
|
"aggregation_strategy": "farmer_block_mean",
|
|
"block_count": 1,
|
|
"resolved_metrics": {"ndvi": 0.49},
|
|
"metric_sources": {"ndvi": {"type": "farmer_block"}},
|
|
}
|
|
block_mock.return_value = [
|
|
{
|
|
"status": "completed",
|
|
"block_code": "block-1",
|
|
"resolved_metrics": {"ndvi": 0.49},
|
|
"metric_sources": {"ndvi": {"type": "satellite"}},
|
|
"satellite_metrics": {"ndvi": 0.49},
|
|
"sensor_metrics": {},
|
|
"satellite_sub_blocks": [],
|
|
"sensor_sub_blocks": [],
|
|
}
|
|
]
|
|
|
|
snapshot = build_ai_farm_snapshot(str(self.farm_uuid))
|
|
|
|
self.assertEqual(snapshot["farm_metrics"]["resolved_metrics"], {"ndvi": 0.49})
|
|
self.assertEqual(snapshot["block_metrics"][0]["sensor_metrics"], {})
|
|
|
|
def test_build_ai_farm_snapshot_handles_missing_remote_sensing_data(self):
|
|
with patch("farm_data.services.build_farmer_block_aggregated_snapshot") as aggregated_mock, patch(
|
|
"farm_data.services.build_location_block_satellite_snapshots"
|
|
) as block_mock:
|
|
aggregated_mock.return_value = {
|
|
"status": "completed",
|
|
"aggregation_strategy": "farmer_block_mean",
|
|
"block_count": 1,
|
|
"resolved_metrics": {"soil_moisture": 30.0},
|
|
"metric_sources": {"soil_moisture": {"type": "farmer_block"}},
|
|
}
|
|
block_mock.return_value = [
|
|
{
|
|
"status": "completed",
|
|
"block_code": "block-1",
|
|
"resolved_metrics": {"soil_moisture": 30.0},
|
|
"metric_sources": {"soil_moisture": {"type": "sensor"}},
|
|
"satellite_metrics": {},
|
|
"sensor_metrics": {"soil_moisture": 30.0},
|
|
"satellite_sub_blocks": [],
|
|
"sensor_sub_blocks": [
|
|
{"sub_block_code": "cluster-1", "resolved_metrics": {"soil_moisture": 30.0}}
|
|
],
|
|
}
|
|
]
|
|
|
|
snapshot = build_ai_farm_snapshot(str(self.farm_uuid))
|
|
|
|
self.assertEqual(snapshot["farm_metrics"]["resolved_metrics"]["soil_moisture"], 30.0)
|
|
self.assertEqual(snapshot["block_metrics"][0]["satellite_metrics"], {})
|
|
self.assertEqual(snapshot["sub_block_metrics"][0]["sensor_metrics"]["soil_moisture"], 30.0)
|
|
|
|
|
|
class FarmDataUpsertApiTests(TestCase):
|
|
def setUp(self):
|
|
self.client = APIClient()
|
|
self.location = SoilLocation.objects.create(
|
|
latitude="35.710000",
|
|
longitude="51.410000",
|
|
)
|
|
self.boundary = square_boundary_for_center(35.71, 51.41)
|
|
self.weather = WeatherForecast.objects.create(
|
|
location=self.location,
|
|
forecast_date=date(2026, 4, 11),
|
|
temperature_min=11.0,
|
|
temperature_max=24.0,
|
|
temperature_mean=17.5,
|
|
)
|
|
self.irrigation_method = IrrigationMethod.objects.create(name="بارانی")
|
|
|
|
def test_post_creates_farm_data_with_explicit_farm_uuid(self):
|
|
farm_uuid = uuid.uuid4()
|
|
|
|
response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_uuid": str(farm_uuid),
|
|
"farm_boundary": self.boundary,
|
|
"sensor_payload": {
|
|
"sensor-7-1": {
|
|
"soil_moisture": 31.2,
|
|
"nitrogen": 18.0,
|
|
}
|
|
},
|
|
"irrigation_method_id": self.irrigation_method.id,
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(response.status_code, 201)
|
|
self.assertEqual(response.json()["data"]["farm_uuid"], str(farm_uuid))
|
|
self.assertEqual(response.json()["data"]["center_location_id"], self.location.id)
|
|
self.assertEqual(response.json()["data"]["weather_forecast_id"], self.weather.id)
|
|
|
|
farm = SensorData.objects.get(farm_uuid=farm_uuid)
|
|
self.assertEqual(farm.center_location_id, self.location.id)
|
|
self.assertEqual(farm.weather_forecast_id, self.weather.id)
|
|
self.assertEqual(farm.irrigation_method_id, self.irrigation_method.id)
|
|
self.assertEqual(
|
|
farm.sensor_payload["sensor-7-1"]["soil_moisture"],
|
|
31.2,
|
|
)
|
|
device = Device.objects.get(farm=farm, sensor_name="sensor-7-1")
|
|
self.assertEqual(device.location_id, self.location.id)
|
|
self.assertEqual(device.payload["soil_moisture"], 31.2)
|
|
self.assertIsNone(device.cluster_uuid)
|
|
self.assertTrue(
|
|
SensorParameter.objects.filter(sensor_key="sensor-7-1", code="soil_moisture").exists()
|
|
)
|
|
|
|
def test_post_auto_registers_new_sensor_without_manual_parameter_creation(self):
|
|
farm_uuid = uuid.uuid4()
|
|
|
|
response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_uuid": str(farm_uuid),
|
|
"farm_boundary": self.boundary,
|
|
"sensor_payload": {
|
|
"canopy-sensor-v2": {
|
|
"leaf_wetness": 12.4,
|
|
"leaf_temperature": 21.6,
|
|
"disease_pressure_index": 0.41,
|
|
}
|
|
},
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(response.status_code, 201)
|
|
self.assertTrue(
|
|
SensorParameter.objects.filter(
|
|
sensor_key="canopy-sensor-v2",
|
|
code="leaf_wetness",
|
|
).exists()
|
|
)
|
|
detail_response = self.client.get(f"/api/farm-data/{farm_uuid}/detail/")
|
|
self.assertEqual(detail_response.status_code, 200)
|
|
schema = detail_response.json()["data"]["sensor_schema"]["canopy-sensor-v2"]
|
|
self.assertCountEqual(
|
|
[item["code"] for item in schema],
|
|
["disease_pressure_index", "leaf_temperature", "leaf_wetness"],
|
|
)
|
|
|
|
def test_post_syncs_device_rows_from_sensor_payload(self):
|
|
farm_uuid = uuid.uuid4()
|
|
cluster_uuid = uuid.uuid4()
|
|
|
|
create_response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_uuid": str(farm_uuid),
|
|
"farm_boundary": self.boundary,
|
|
"sensor_payload": {
|
|
"sensor-7-1": {
|
|
"cluster_uuid": str(cluster_uuid),
|
|
"soil_moisture": 31.2,
|
|
},
|
|
"leaf-sensor": {
|
|
"leaf_wetness": 10.0,
|
|
},
|
|
},
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(create_response.status_code, 201)
|
|
farm = SensorData.objects.get(farm_uuid=farm_uuid)
|
|
self.assertEqual(Device.objects.filter(farm=farm).count(), 2)
|
|
soil_device = Device.objects.get(farm=farm, sensor_name="sensor-7-1")
|
|
self.assertEqual(str(soil_device.cluster_uuid), str(cluster_uuid))
|
|
self.assertEqual(soil_device.payload["soil_moisture"], 31.2)
|
|
|
|
update_response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_uuid": str(farm_uuid),
|
|
"farm_boundary": self.boundary,
|
|
"sensor_payload": {
|
|
"sensor-7-1": {
|
|
"cluster_uuid": str(cluster_uuid),
|
|
"soil_moisture": 33.8,
|
|
"nitrogen": 20.5,
|
|
},
|
|
},
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(update_response.status_code, 200)
|
|
soil_device.refresh_from_db()
|
|
self.assertEqual(soil_device.payload["soil_moisture"], 33.8)
|
|
self.assertEqual(soil_device.payload["nitrogen"], 20.5)
|
|
self.assertEqual(Device.objects.filter(farm=farm, sensor_name="leaf-sensor").count(), 1)
|
|
|
|
def test_post_requires_farm_uuid_in_request_body(self):
|
|
response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_boundary": self.boundary,
|
|
"sensor_payload": {"sensor-7-1": {"soil_moisture": 31.2}},
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(response.status_code, 400)
|
|
self.assertIn("farm_uuid", response.json()["data"])
|
|
|
|
def test_post_creates_center_location_from_boundary_when_missing(self):
|
|
farm_uuid = uuid.uuid4()
|
|
|
|
response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_uuid": str(farm_uuid),
|
|
"farm_boundary": {
|
|
"corners": [
|
|
{"lat": 50.0, "lon": 50.0},
|
|
{"lat": 50.0, "lon": 50.02},
|
|
{"lat": 50.02, "lon": 50.02},
|
|
{"lat": 50.02, "lon": 50.0},
|
|
]
|
|
},
|
|
"sensor_payload": {"sensor-7-1": {"soil_moisture": 40.0}},
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(response.status_code, 201)
|
|
farm = SensorData.objects.get(farm_uuid=farm_uuid)
|
|
self.assertIsNotNone(farm.center_location_id)
|
|
self.assertEqual(str(farm.center_location.latitude), "50.010000")
|
|
self.assertEqual(str(farm.center_location.longitude), "50.010000")
|
|
self.assertIsNone(farm.weather_forecast_id)
|
|
self.assertEqual(farm.center_location.input_block_count, 1)
|
|
self.assertEqual(len(farm.center_location.block_layout["blocks"]), 1)
|
|
subdivision = BlockSubdivision.objects.get(soil_location=farm.center_location, block_code="block-1")
|
|
self.assertGreater(subdivision.grid_point_count, 0)
|
|
self.assertEqual(subdivision.grid_point_count, subdivision.centroid_count)
|
|
|
|
def test_post_persists_requested_block_count_on_center_location(self):
|
|
farm_uuid = uuid.uuid4()
|
|
|
|
response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_uuid": str(farm_uuid),
|
|
"farm_boundary": self.boundary,
|
|
"block_count": 3,
|
|
"sensor_payload": {"sensor-7-1": {"soil_moisture": 40.0}},
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(response.status_code, 201)
|
|
farm = SensorData.objects.get(farm_uuid=farm_uuid)
|
|
self.assertEqual(farm.center_location.input_block_count, 3)
|
|
self.assertEqual(len(farm.center_location.block_layout["blocks"]), 3)
|
|
self.assertFalse(
|
|
BlockSubdivision.objects.filter(soil_location=farm.center_location).exists()
|
|
)
|
|
|
|
def test_resolve_center_location_runs_subdivision_only_on_creation(self):
|
|
boundary = square_boundary_for_center(35.75, 51.45)
|
|
|
|
first_location = resolve_center_location_from_boundary(boundary, block_count=1)
|
|
first_subdivision = BlockSubdivision.objects.get(
|
|
soil_location=first_location,
|
|
block_code="block-1",
|
|
)
|
|
|
|
second_location = resolve_center_location_from_boundary(boundary, block_count=1)
|
|
|
|
self.assertEqual(first_location.id, second_location.id)
|
|
self.assertEqual(
|
|
BlockSubdivision.objects.filter(
|
|
soil_location=second_location,
|
|
block_code="block-1",
|
|
).count(),
|
|
1,
|
|
)
|
|
self.assertEqual(
|
|
BlockSubdivision.objects.get(
|
|
soil_location=second_location,
|
|
block_code="block-1",
|
|
).id,
|
|
first_subdivision.id,
|
|
)
|
|
|
|
def test_resolve_center_location_uses_geometric_centroid_for_concave_polygon(self):
|
|
location = resolve_center_location_from_boundary(
|
|
{
|
|
"corners": [
|
|
{"lat": 0.0, "lon": 0.0},
|
|
{"lat": 0.0, "lon": 4.0},
|
|
{"lat": 4.0, "lon": 4.0},
|
|
{"lat": 4.0, "lon": 0.0},
|
|
{"lat": 1.0, "lon": 0.0},
|
|
{"lat": 1.0, "lon": 3.0},
|
|
{"lat": 3.0, "lon": 3.0},
|
|
{"lat": 3.0, "lon": 1.0},
|
|
{"lat": 0.0, "lon": 1.0},
|
|
]
|
|
}
|
|
)
|
|
|
|
self.assertEqual(str(location.latitude), "2.078947")
|
|
self.assertEqual(str(location.longitude), "2.078947")
|
|
|
|
def test_post_keeps_missing_location_without_external_sync(self):
|
|
missing_boundary = square_boundary_for_center(36.0, 52.0)
|
|
farm_uuid = uuid.uuid4()
|
|
|
|
response = self.client.post(
|
|
"/api/farm-data/",
|
|
data={
|
|
"farm_uuid": str(farm_uuid),
|
|
"farm_boundary": missing_boundary,
|
|
"sensor_payload": {"sensor-7-1": {"soil_moisture": 44.0}},
|
|
},
|
|
format="json",
|
|
)
|
|
|
|
self.assertEqual(response.status_code, 201)
|
|
farm = SensorData.objects.get(farm_uuid=farm_uuid)
|
|
self.assertIsNone(farm.weather_forecast_id)
|