UPDATE
This commit is contained in:
@@ -0,0 +1,265 @@
|
||||
from datetime import date
|
||||
from types import SimpleNamespace
|
||||
from unittest.mock import patch
|
||||
|
||||
from django.test import TestCase, override_settings
|
||||
from rest_framework.test import APIClient
|
||||
|
||||
from location_data.models import (
|
||||
AnalysisGridCell,
|
||||
AnalysisGridObservation,
|
||||
BlockSubdivision,
|
||||
RemoteSensingClusterAssignment,
|
||||
RemoteSensingRun,
|
||||
RemoteSensingSubdivisionResult,
|
||||
SoilLocation,
|
||||
)
|
||||
|
||||
|
||||
@override_settings(ROOT_URLCONF="location_data.urls")
|
||||
class RemoteSensingApiTests(TestCase):
|
||||
def setUp(self):
|
||||
self.client = APIClient()
|
||||
self.boundary = {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[51.3890, 35.6890],
|
||||
[51.3900, 35.6890],
|
||||
[51.3900, 35.6900],
|
||||
[51.3890, 35.6900],
|
||||
[51.3890, 35.6890],
|
||||
]
|
||||
],
|
||||
}
|
||||
self.location = SoilLocation.objects.create(
|
||||
latitude="35.689200",
|
||||
longitude="51.389000",
|
||||
farm_boundary=self.boundary,
|
||||
)
|
||||
self.location.set_input_block_count(1)
|
||||
self.location.save(update_fields=["input_block_count", "block_layout", "updated_at"])
|
||||
self.subdivision = BlockSubdivision.objects.create(
|
||||
soil_location=self.location,
|
||||
block_code="block-1",
|
||||
source_boundary=self.boundary,
|
||||
chunk_size_sqm=900,
|
||||
status="created",
|
||||
)
|
||||
|
||||
def test_post_remote_sensing_returns_404_when_location_missing(self):
|
||||
response = self.client.post(
|
||||
"/remote-sensing/",
|
||||
data={
|
||||
"lat": 35.7000,
|
||||
"lon": 51.4000,
|
||||
"start_date": "2025-01-01",
|
||||
"end_date": "2025-01-31",
|
||||
},
|
||||
format="json",
|
||||
)
|
||||
|
||||
self.assertEqual(response.status_code, 404)
|
||||
self.assertEqual(response.json()["msg"], "location پیدا نشد.")
|
||||
|
||||
@patch("location_data.views.run_remote_sensing_analysis_task.delay")
|
||||
def test_post_remote_sensing_enqueues_task_and_returns_processing(self, mock_delay):
|
||||
mock_delay.return_value = SimpleNamespace(id="task-123")
|
||||
|
||||
response = self.client.post(
|
||||
"/remote-sensing/",
|
||||
data={
|
||||
"lat": 35.6892,
|
||||
"lon": 51.3890,
|
||||
"block_code": "block-1",
|
||||
"start_date": "2025-01-01",
|
||||
"end_date": "2025-01-31",
|
||||
"force_refresh": False,
|
||||
},
|
||||
format="json",
|
||||
)
|
||||
|
||||
self.assertEqual(response.status_code, 202)
|
||||
payload = response.json()["data"]
|
||||
self.assertEqual(payload["status"], "processing")
|
||||
self.assertEqual(payload["source"], "processing")
|
||||
self.assertEqual(payload["task_id"], "task-123")
|
||||
self.assertEqual(payload["block_code"], "block-1")
|
||||
self.assertEqual(payload["summary"]["cell_count"], 0)
|
||||
run = RemoteSensingRun.objects.get(id=payload["run"]["id"])
|
||||
self.assertEqual(run.block_code, "block-1")
|
||||
self.assertEqual(run.status, RemoteSensingRun.STATUS_PENDING)
|
||||
self.assertEqual(run.metadata["stage"], "queued")
|
||||
self.assertEqual(run.metadata["selected_features"], [])
|
||||
mock_delay.assert_called_once()
|
||||
|
||||
def test_get_remote_sensing_returns_processing_when_run_exists_without_results(self):
|
||||
RemoteSensingRun.objects.create(
|
||||
soil_location=self.location,
|
||||
block_subdivision=self.subdivision,
|
||||
block_code="block-1",
|
||||
chunk_size_sqm=900,
|
||||
temporal_start=date(2025, 1, 1),
|
||||
temporal_end=date(2025, 1, 31),
|
||||
status=RemoteSensingRun.STATUS_RUNNING,
|
||||
metadata={"task_id": "task-123"},
|
||||
)
|
||||
|
||||
response = self.client.get(
|
||||
"/remote-sensing/",
|
||||
data={
|
||||
"lat": 35.6892,
|
||||
"lon": 51.3890,
|
||||
"block_code": "block-1",
|
||||
"start_date": "2025-01-01",
|
||||
"end_date": "2025-01-31",
|
||||
},
|
||||
)
|
||||
|
||||
self.assertEqual(response.status_code, 200)
|
||||
payload = response.json()["data"]
|
||||
self.assertEqual(payload["status"], "processing")
|
||||
self.assertEqual(payload["source"], "processing")
|
||||
self.assertEqual(payload["cells"], [])
|
||||
self.assertEqual(payload["run"]["status"], RemoteSensingRun.STATUS_RUNNING)
|
||||
|
||||
def test_get_remote_sensing_returns_cached_results(self):
|
||||
run = RemoteSensingRun.objects.create(
|
||||
soil_location=self.location,
|
||||
block_subdivision=self.subdivision,
|
||||
block_code="block-1",
|
||||
chunk_size_sqm=900,
|
||||
temporal_start=date(2025, 1, 1),
|
||||
temporal_end=date(2025, 1, 31),
|
||||
status=RemoteSensingRun.STATUS_SUCCESS,
|
||||
)
|
||||
cell = AnalysisGridCell.objects.create(
|
||||
soil_location=self.location,
|
||||
block_subdivision=self.subdivision,
|
||||
block_code="block-1",
|
||||
cell_code="cell-1",
|
||||
chunk_size_sqm=900,
|
||||
geometry=self.boundary,
|
||||
centroid_lat="35.689500",
|
||||
centroid_lon="51.389500",
|
||||
)
|
||||
AnalysisGridObservation.objects.create(
|
||||
cell=cell,
|
||||
run=run,
|
||||
temporal_start=date(2025, 1, 1),
|
||||
temporal_end=date(2025, 1, 31),
|
||||
ndvi=0.61,
|
||||
ndwi=0.22,
|
||||
lst_c=24.5,
|
||||
soil_vv=0.13,
|
||||
soil_vv_db=-8.860566,
|
||||
dem_m=1550.0,
|
||||
slope_deg=4.2,
|
||||
metadata={"backend_name": "openeo"},
|
||||
)
|
||||
|
||||
response = self.client.get(
|
||||
"/remote-sensing/",
|
||||
data={
|
||||
"lat": 35.6892,
|
||||
"lon": 51.3890,
|
||||
"block_code": "block-1",
|
||||
"start_date": "2025-01-01",
|
||||
"end_date": "2025-01-31",
|
||||
},
|
||||
)
|
||||
|
||||
self.assertEqual(response.status_code, 200)
|
||||
payload = response.json()["data"]
|
||||
self.assertEqual(payload["status"], "success")
|
||||
self.assertEqual(payload["source"], "database")
|
||||
self.assertEqual(payload["summary"]["cell_count"], 1)
|
||||
self.assertEqual(payload["summary"]["ndvi_mean"], 0.61)
|
||||
self.assertEqual(payload["summary"]["soil_vv_db_mean"], -8.860566)
|
||||
self.assertEqual(len(payload["cells"]), 1)
|
||||
self.assertEqual(payload["cells"][0]["cell_code"], "cell-1")
|
||||
|
||||
def test_run_status_endpoint_returns_normalized_status(self):
|
||||
run = RemoteSensingRun.objects.create(
|
||||
soil_location=self.location,
|
||||
block_subdivision=self.subdivision,
|
||||
block_code="block-1",
|
||||
chunk_size_sqm=900,
|
||||
temporal_start=date(2025, 1, 1),
|
||||
temporal_end=date(2025, 1, 31),
|
||||
status=RemoteSensingRun.STATUS_SUCCESS,
|
||||
metadata={"stage": "completed", "selected_features": ["ndvi"]},
|
||||
)
|
||||
|
||||
response = self.client.get(f"/remote-sensing/runs/{run.id}/status/")
|
||||
|
||||
self.assertEqual(response.status_code, 200)
|
||||
payload = response.json()["data"]
|
||||
self.assertEqual(payload["status"], "completed")
|
||||
self.assertEqual(payload["run"]["pipeline_status"], "completed")
|
||||
self.assertEqual(payload["run"]["stage"], "completed")
|
||||
self.assertEqual(payload["run"]["selected_features"], ["ndvi"])
|
||||
|
||||
def test_run_result_endpoint_returns_paginated_assignments(self):
|
||||
run = RemoteSensingRun.objects.create(
|
||||
soil_location=self.location,
|
||||
block_subdivision=self.subdivision,
|
||||
block_code="block-1",
|
||||
chunk_size_sqm=900,
|
||||
temporal_start=date(2025, 1, 1),
|
||||
temporal_end=date(2025, 1, 31),
|
||||
status=RemoteSensingRun.STATUS_SUCCESS,
|
||||
metadata={"stage": "completed"},
|
||||
)
|
||||
cell = AnalysisGridCell.objects.create(
|
||||
soil_location=self.location,
|
||||
block_subdivision=self.subdivision,
|
||||
block_code="block-1",
|
||||
cell_code="cell-1",
|
||||
chunk_size_sqm=900,
|
||||
geometry=self.boundary,
|
||||
centroid_lat="35.689500",
|
||||
centroid_lon="51.389500",
|
||||
)
|
||||
AnalysisGridObservation.objects.create(
|
||||
cell=cell,
|
||||
run=run,
|
||||
temporal_start=date(2025, 1, 1),
|
||||
temporal_end=date(2025, 1, 31),
|
||||
ndvi=0.61,
|
||||
ndwi=0.22,
|
||||
lst_c=24.5,
|
||||
soil_vv=0.13,
|
||||
soil_vv_db=-8.860566,
|
||||
dem_m=1550.0,
|
||||
slope_deg=4.2,
|
||||
metadata={"backend_name": "openeo"},
|
||||
)
|
||||
result = RemoteSensingSubdivisionResult.objects.create(
|
||||
soil_location=self.location,
|
||||
run=run,
|
||||
block_subdivision=self.subdivision,
|
||||
block_code="block-1",
|
||||
chunk_size_sqm=900,
|
||||
temporal_start=date(2025, 1, 1),
|
||||
temporal_end=date(2025, 1, 31),
|
||||
cluster_count=1,
|
||||
selected_features=["ndvi"],
|
||||
metadata={"used_cell_count": 1, "skipped_cell_count": 0},
|
||||
)
|
||||
RemoteSensingClusterAssignment.objects.create(
|
||||
result=result,
|
||||
cell=cell,
|
||||
cluster_label=0,
|
||||
raw_feature_values={"ndvi": 0.61},
|
||||
scaled_feature_values={"ndvi": 0.0},
|
||||
)
|
||||
|
||||
response = self.client.get(f"/remote-sensing/runs/{run.id}/result/", data={"page": 1, "page_size": 10})
|
||||
|
||||
self.assertEqual(response.status_code, 200)
|
||||
payload = response.json()["data"]
|
||||
self.assertEqual(payload["status"], "completed")
|
||||
self.assertEqual(payload["subdivision_result"]["cluster_count"], 1)
|
||||
self.assertEqual(len(payload["subdivision_result"]["assignments"]), 1)
|
||||
self.assertEqual(payload["pagination"]["assignments"]["total_items"], 1)
|
||||
Reference in New Issue
Block a user