-
Notifications
You must be signed in to change notification settings - Fork 5
Open
Labels
benchmark-failureintegration test failedintegration test failed
Description
Benchmark scenario ID: forest_fire_mapping
Benchmark scenario definition: https://github.com/ESA-APEx/apex_algorithms/blob/bde2fcb99e62f4394a5830a88d5ea772cc440a3f/algorithm_catalog/vito/random_forest_firemapping/benchmark_scenarios/random_forest_firemapping.json
openEO backend: openeo.vito.be
GitHub Actions workflow run: https://github.com/ESA-APEx/apex_algorithms/actions/runs/18038589257
Workflow artifacts: https://github.com/ESA-APEx/apex_algorithms/actions/runs/18038589257#artifacts
Test start: 2025-09-26 13:05:29.679468+00:00
Test duration: 0:26:59.690890
Test outcome: ❌ failed
Last successful test phase: download-reference
Failure in test phase: compare
Contact Information
| Name | Organization | Contact |
|---|---|---|
| Pratichhya Sharma | VITO | Contact via VITO (VITO Website, GitHub) |
Process Graph
{
"randomforestfiremapping1": {
"arguments": {
"padding_window_size": 33,
"spatial_extent": {
"coordinates": [
[
[
-17.996638457335074,
28.771993378019005
],
[
-17.960989271845406,
28.822652746872745
],
[
-17.913144312372435,
28.85454938652139
],
[
-17.842315009623224,
28.83015783855478
],
[
-17.781805207936817,
28.842353612538087
],
[
-17.728331429702315,
28.74103487483061
],
[
-17.766795024572748,
28.681932277834584
],
[
-17.75131577297855,
28.624236885528937
],
[
-17.756944591740076,
28.579206335436727
],
[
-17.838093395552082,
28.451150708612
],
[
-17.871397239891113,
28.480702007110015
],
[
-17.88969090086607,
28.57404658490533
],
[
-17.957705794234517,
28.658947934558352
],
[
-18.003674480786984,
28.76167387695621
],
[
-18.003674480786984,
28.76167387695621
],
[
-17.996638457335074,
28.771993378019005
]
]
],
"type": "Polygon"
},
"temporal_extent": [
"2023-07-15",
"2023-09-15"
]
},
"namespace": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/0962bf79f836859e701fa7437307240ef689ff2e/algorithm_catalog/vito/random_forest_firemapping/openeo_udp/random_forest_firemapping.json",
"process_id": "random_forest_firemapping",
"result": true
}
}Error Logs
scenario = BenchmarkScenario(id='forest_fire_mapping', description='Forest Fire Mapping using Random Forest based on Sentinel-2 a.../apex_algorithms/algorithm_catalog/vito/random_forest_firemapping/benchmark_scenarios/random_forest_firemapping.json'))
connection_factory = <function connection_factory.<locals>.get_connection at 0x7fe0fbdbf6a0>
tmp_path = PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0')
track_metric = <function track_metric.<locals>.track at 0x7fe0fbdbf9c0>
track_phase = <function track_phase.<locals>.track at 0x7fe0fbdbf7e0>
upload_assets_on_fail = <function upload_assets_on_fail.<locals>.collect at 0x7fe0fbdbfa60>
request = <FixtureRequest for <Function test_run_benchmark[forest_fire_mapping]>>
@pytest.mark.parametrize(
"scenario",
[
# Use scenario id as parameterization id to give nicer test names.
pytest.param(uc, id=uc.id)
for uc in get_benchmark_scenarios()
],
)
def test_run_benchmark(
scenario: BenchmarkScenario,
connection_factory,
tmp_path: Path,
track_metric,
track_phase,
upload_assets_on_fail,
request,
):
track_metric("scenario_id", scenario.id)
with track_phase(phase="connect"):
# Check if a backend override has been provided via cli options.
override_backend = request.config.getoption("--override-backend")
backend_filter = request.config.getoption("--backend-filter")
if backend_filter and not re.match(backend_filter, scenario.backend):
# TODO apply filter during scenario retrieval, but seems to be hard to retrieve cli param
pytest.skip(
f"skipping scenario {scenario.id} because backend {scenario.backend} does not match filter {backend_filter!r}"
)
backend = scenario.backend
if override_backend:
_log.info(f"Overriding backend URL with {override_backend!r}")
backend = override_backend
connection: openeo.Connection = connection_factory(url=backend)
with track_phase(phase="create-job"):
# TODO #14 scenario option to use synchronous instead of batch job mode?
job = connection.create_job(
process_graph=scenario.process_graph,
title=f"APEx benchmark {scenario.id}",
additional=scenario.job_options,
)
track_metric("job_id", job.job_id)
with track_phase(phase="run-job"):
# TODO: monitor timing and progress
# TODO: abort excessively long batch jobs? https://github.com/Open-EO/openeo-python-client/issues/589
job.start_and_wait()
# TODO: separate "job started" and run phases?
with track_phase(phase="collect-metadata"):
collect_metrics_from_job_metadata(job, track_metric=track_metric)
results = job.get_results()
collect_metrics_from_results_metadata(results, track_metric=track_metric)
with track_phase(phase="download-actual"):
# Download actual results
actual_dir = tmp_path / "actual"
paths = results.download_files(target=actual_dir, include_stac_metadata=True)
# Upload assets on failure
upload_assets_on_fail(*paths)
with track_phase(phase="download-reference"):
reference_dir = download_reference_data(
scenario=scenario, reference_dir=tmp_path / "reference"
)
with track_phase(
phase="compare", describe_exception=analyse_results_comparison_exception
):
# Compare actual results with reference data
> assert_job_results_allclose(
actual=actual_dir,
expected=reference_dir,
tmp_path=tmp_path,
rtol=scenario.reference_options.get("rtol", 1e-6),
atol=scenario.reference_options.get("atol", 1e-6),
pixel_tolerance=scenario.reference_options.get("pixel_tolerance", 0.0),
)
tests/test_benchmarks.py:95:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
actual = PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/actual')
expected = PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/reference')
def assert_job_results_allclose(
actual: Union[BatchJob, JobResults, str, Path],
expected: Union[BatchJob, JobResults, str, Path],
*,
rtol: float = _DEFAULT_RTOL,
atol: float = _DEFAULT_ATOL,
pixel_tolerance: float = _DEFAULT_PIXELTOL,
tmp_path: Optional[Path] = None,
):
"""
Assert that two job results sets are equal (with tolerance).
:param actual: actual job results, provided as :py:class:`~openeo.rest.job.BatchJob` object,
:py:meth:`~openeo.rest.job.JobResults` object or path to directory with downloaded assets.
:param expected: expected job results, provided as :py:class:`~openeo.rest.job.BatchJob` object,
:py:meth:`~openeo.rest.job.JobResults` object or path to directory with downloaded assets.
:param rtol: relative tolerance
:param atol: absolute tolerance
:param pixel_tolerance: maximum fraction of pixels (in percent)
that is allowed to be significantly different (considering ``atol`` and ``rtol``)
:param tmp_path: root temp path to download results if needed.
It's recommended to pass pytest's `tmp_path` fixture here
:raises AssertionError: if not equal within the given tolerance
.. versionadded:: 0.31.0
.. warning::
This function is experimental and subject to change.
"""
issues = _compare_job_results(
actual, expected, rtol=rtol, atol=atol, pixel_tolerance=pixel_tolerance, tmp_path=tmp_path
)
if issues:
> raise AssertionError("\n".join(issues))
E AssertionError: File set mismatch: {'job-results.json', 'openEO.tif'} != {'output.tif'}
/opt/hostedtoolcache/Python/3.12.11/x64/lib/python3.12/site-packages/openeo/testing/results.py:515: AssertionError
----------------------------- Captured stdout call -----------------------------
0:00:00 Job 'j-250926130531497caaa23c64e66cdc8c': send 'start'
0:00:14 Job 'j-250926130531497caaa23c64e66cdc8c': queued (progress 0%)
0:00:19 Job 'j-250926130531497caaa23c64e66cdc8c': queued (progress 0%)
0:00:26 Job 'j-250926130531497caaa23c64e66cdc8c': queued (progress 0%)
0:00:34 Job 'j-250926130531497caaa23c64e66cdc8c': queued (progress 0%)
0:00:44 Job 'j-250926130531497caaa23c64e66cdc8c': queued (progress 0%)
0:00:56 Job 'j-250926130531497caaa23c64e66cdc8c': queued (progress 0%)
0:01:11 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 8.9%)
0:01:31 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 11.5%)
0:01:55 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 14.6%)
0:02:25 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 18.1%)
0:03:02 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 22.0%)
0:03:49 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 26.5%)
0:04:47 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 31.4%)
0:05:47 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 35.8%)
0:06:48 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 39.7%)
0:07:48 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 43.1%)
0:08:48 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 46.2%)
0:09:48 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 49.0%)
0:10:48 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 51.4%)
0:11:48 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 53.7%)
0:12:49 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 55.8%)
0:13:49 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 57.6%)
0:14:49 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 59.4%)
0:15:50 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 61.0%)
0:16:51 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 62.5%)
0:17:51 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 63.8%)
0:18:51 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 65.1%)
0:19:51 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 66.3%)
0:20:51 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 67.4%)
0:21:51 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 68.4%)
0:22:52 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 69.4%)
0:23:52 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 70.3%)
0:24:52 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 71.1%)
0:25:52 Job 'j-250926130531497caaa23c64e66cdc8c': running (progress 72.0%)
0:26:53 Job 'j-250926130531497caaa23c64e66cdc8c': finished (progress 100%)
------------------------------ Captured log call -------------------------------
INFO conftest:conftest.py:131 Connecting to 'openeo.vito.be'
INFO openeo.config:config.py:193 Loaded openEO client config from sources: []
INFO conftest:conftest.py:144 Checking for auth_env_var='OPENEO_AUTH_CLIENT_CREDENTIALS_TERRASCOPE' to drive auth against url='openeo.vito.be'.
INFO conftest:conftest.py:148 Extracted provider_id='terrascope' client_id='openeo-apex-service-account' from auth_env_var='OPENEO_AUTH_CLIENT_CREDENTIALS_TERRASCOPE'
INFO openeo.rest.connection:connection.py:255 Found OIDC providers: ['egi', 'terrascope', 'CDSE']
INFO openeo.rest.auth.oidc:oidc.py:404 Doing 'client_credentials' token request 'https://sso.terrascope.be/auth/realms/terrascope/protocol/openid-connect/token' with post data fields ['grant_type', 'client_id', 'client_secret', 'scope'] (client_id 'openeo-apex-service-account')
INFO openeo.rest.connection:connection.py:352 Obtained tokens: ['access_token', 'id_token']
INFO openeo.rest.auth.oidc:oidc.py:404 Doing 'client_credentials' token request 'https://sso.terrascope.be/auth/realms/terrascope/protocol/openid-connect/token' with post data fields ['grant_type', 'client_id', 'client_secret', 'scope'] (client_id 'openeo-apex-service-account')
INFO openeo.rest.connection:connection.py:352 Obtained tokens: ['access_token', 'id_token']
INFO openeo.rest.connection:connection.py:703 OIDC access token expired (403 TokenInvalid). Obtained new access token (grant 'client_credentials').
INFO openeo.rest.job:job.py:436 Downloading Job result asset 'openEO.tif' from https://openeo.vito.be/openeo/1.2/jobs/j-250926130531497caaa23c64e66cdc8c/results/assets/YWIwNGFjMGMtMzI2OS00MWMyLWJkODgtZTIxNTQxNTc2NDQw/0a30a521f8ef7cad0b7af01777185b16/openEO.tif?expires=1759498345 to /home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/actual/openEO.tif
INFO apex_algorithm_qa_tools.scenarios:util.py:345 Downloading reference data for scenario.id='forest_fire_mapping' to reference_dir=PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/reference'): start 2025-09-26 13:32:27.995410
INFO apex_algorithm_qa_tools.scenarios:util.py:345 Downloading source='https://s3.waw3-1.cloudferro.com/swift/v1/apex-examples/RF-ForestFire/RF_ForestFire.tif' to path=PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/reference/output.tif'): start 2025-09-26 13:32:27.995738
INFO apex_algorithm_qa_tools.scenarios:util.py:351 Downloading source='https://s3.waw3-1.cloudferro.com/swift/v1/apex-examples/RF-ForestFire/RF_ForestFire.tif' to path=PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/reference/output.tif'): end 2025-09-26 13:32:29.368238, elapsed 0:00:01.372500
INFO apex_algorithm_qa_tools.scenarios:util.py:351 Downloading reference data for scenario.id='forest_fire_mapping' to reference_dir=PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/reference'): end 2025-09-26 13:32:29.368423, elapsed 0:00:01.373013
INFO openeo.testing.results:results.py:418 Comparing job results: PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/actual') vs PosixPath('/home/runner/work/apex_algorithms/apex_algorithms/qa/benchmarks/tmp_path_root/test_run_benchmark_forest_fire0/reference')
Metadata
Metadata
Assignees
Labels
benchmark-failureintegration test failedintegration test failed