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March 30, 2016 00:17
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./check-code.sh | |
+ pep8 tests integration_tests --max-line-length 120 | |
+ pylint -j 2 --reports no datacube examples/band_stats.py | |
+ py.test -r sx --cov datacube --durations=5 datacube examples tests | |
============================================ test session starts ============================================ | |
platform darwin -- Python 2.7.11, pytest-2.9.0, py-1.4.31, pluggy-0.3.1 | |
rootdir: /Users/ho03b/dev/agdc-v2, inifile: pytest.ini | |
plugins: cov-2.2.1 | |
collected 98 items | |
datacube/model.py .... | |
datacube/index/fields.py .. | |
datacube/index/postgres/_api.py . | |
datacube/index/postgres/tables/_core.py . | |
datacube/storage/access/indexing.py ... | |
datacube/ui/click.py . | |
datacube/ui/common.py . | |
tests/test_api.py FFFFF...... | |
tests/test_common.py .. | |
tests/test_config.py ... | |
tests/test_model.py .... | |
tests/analytics_execution_engine/test_analyics_execution_engine.py .......x.... | |
tests/analytics_execution_engine/test_ndexpr.py ... | |
tests/index/test_api_index_dataset.py .... | |
tests/index/test_fields.py . | |
tests/index/test_query.py .... | |
tests/index/test_validate_storage_type.py ......................... | |
tests/scripts/test_search_tool.py .. | |
tests/storage/test_access.py ...... | |
tests/storage/test_netcdfwriter.py ....... | |
tests/storage/test_storage.py . | |
----------------------------- coverage: platform darwin, python 2.7.11-final-0 ------------------------------ | |
Name Stmts Miss Cover | |
------------------------------------------------------------------ | |
datacube/__init__.py 3 0 100% | |
datacube/analytics/__init__.py 0 0 100% | |
datacube/analytics/analytics_engine.py 229 49 79% | |
datacube/analytics/utils/__init__.py 0 0 100% | |
datacube/analytics/utils/analytics_utils.py 96 75 22% | |
datacube/api/__init__.py 4 0 100% | |
datacube/api/_api.py 239 152 36% | |
datacube/api/_conversion.py 159 49 69% | |
datacube/api/_dask.py 52 1 98% | |
datacube/api/_storage.py 108 49 55% | |
datacube/api/_stratify.py 76 10 87% | |
datacube/api/geo_xarray.py 96 79 18% | |
datacube/compat.py 42 22 48% | |
datacube/config.py 38 11 71% | |
datacube/execution/__init__.py 0 0 100% | |
datacube/execution/execution_engine.py 138 11 92% | |
datacube/executor.py 62 43 31% | |
datacube/index/__init__.py 4 0 100% | |
datacube/index/_api.py 29 13 55% | |
datacube/index/_datasets.py 139 75 46% | |
datacube/index/_storage.py 108 63 42% | |
datacube/index/fields.py 55 8 85% | |
datacube/index/postgres/__init__.py 4 0 100% | |
datacube/index/postgres/_api.py 255 174 32% | |
datacube/index/postgres/_fields.py 114 34 70% | |
datacube/index/postgres/tables/__init__.py 6 0 100% | |
datacube/index/postgres/tables/_core.py 36 12 67% | |
datacube/index/postgres/tables/_dataset.py 14 0 100% | |
datacube/index/postgres/tables/_storage.py 11 0 100% | |
datacube/ingest.py 58 40 31% | |
datacube/model.py 294 114 61% | |
datacube/ndexpr/__init__.py 337 44 87% | |
datacube/scripts/__init__.py 0 0 100% | |
datacube/scripts/config_tool.py 66 34 48% | |
datacube/scripts/ingest_storage_units.py 52 30 42% | |
datacube/scripts/run_ingest.py 90 57 37% | |
datacube/scripts/search_tool.py 62 6 90% | |
datacube/storage/__init__.py 4 0 100% | |
datacube/storage/access/__init__.py 1 0 100% | |
datacube/storage/access/backends/__init__.py 10 4 60% | |
datacube/storage/access/backends/faux.py 17 0 100% | |
datacube/storage/access/backends/geobox.py 27 0 100% | |
datacube/storage/access/backends/geotif.py 29 1 97% | |
datacube/storage/access/backends/netcdf.py 90 18 80% | |
datacube/storage/access/core.py 169 28 83% | |
datacube/storage/access/ghetto.py 17 10 41% | |
datacube/storage/access/indexing.py 30 2 93% | |
datacube/storage/netcdf_safestrings.py 38 2 95% | |
datacube/storage/netcdf_writer.py 121 5 96% | |
datacube/storage/storage.py 177 113 36% | |
datacube/storage/tiling.py 42 33 21% | |
datacube/ui/__init__.py 5 0 100% | |
datacube/ui/click.py 58 28 52% | |
datacube/ui/common.py 47 13 72% | |
datacube/ui/expression.py 66 8 88% | |
datacube/utils.py 13 2 85% | |
datacube/version.py 48 14 71% | |
------------------------------------------------------------------ | |
TOTAL 4085 1536 62% | |
========================================== short test summary info ========================================== | |
XFAIL tests/analytics_execution_engine/test_analyics_execution_engine.py::test_perform_ndvi_mask_old_version | |
Unknown error, mask ending up as float32, needs further research | |
========================================= slowest 5 test durations ========================================== | |
0.59s call tests/analytics_execution_engine/test_ndexpr.py::test_2 | |
0.29s call tests/analytics_execution_engine/test_analyics_execution_engine.py::test_bit_of_everything | |
0.09s call tests/analytics_execution_engine/test_analyics_execution_engine.py::test_perform_ndvi_mask | |
0.06s call tests/storage/test_access.py::test_netcdf_storage_unit | |
0.05s call tests/analytics_execution_engine/test_analyics_execution_engine.py::test_perform_ndvi | |
================================================= FAILURES ================================================== | |
_______________________________ test_convert_descriptor_query_to_search_query _______________________________ | |
def test_convert_descriptor_query_to_search_query(): | |
descriptor_query = { | |
'dimensions': { | |
'latitude': { | |
'range': (-35.5, -36.5), | |
}, | |
'longitude': { | |
'range': (148.3, 149.9) | |
}, | |
'time': { | |
'range': (datetime.datetime(2001, 5, 7), datetime.datetime(2002, 3, 9)) | |
} | |
} | |
} | |
descriptor_query_dimensions = descriptor_query.get('dimensions', {}) | |
search_query = convert_descriptor_dims_to_search_dims(descriptor_query_dimensions) | |
> assert len(search_query) == len(descriptor_query_dimensions) | |
E assert 1 == 3 | |
E + where 1 = len({'time': Range(begin=datetime.datetime(2001, 5, 7, 0, 0, tzinfo=tzutc()), end=datetime.datetime(2002, 3, 9, 0, 0, tzinfo=tzutc()))}) | |
E + and 3 = len({'latitude': {'range': (-35.5, -36.5)}, 'longitude': {'range': (148.3, 149.9)}, 'time': {'range': (datetime.datetime(2001, 5, 7, 0, 0), datetime.datetime(2002, 3, 9, 0, 0))}}) | |
tests/test_api.py:52: AssertionError | |
------------------------------------------- Captured stderr call -------------------------------------------- | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 6: No translation for an empty SRS to PROJ.4 format is known. | |
No handlers could be found for logger "datacube.api._conversion" | |
_____________________ test_convert_descriptor_query_to_search_query_with_crs_conversion _____________________ | |
def test_convert_descriptor_query_to_search_query_with_crs_conversion(): | |
descriptor_query = { | |
'dimensions': { | |
'latitude': { | |
'range': (-3971790.0737348166, -4101004.3359463234), | |
'crs': 'EPSG:3577', | |
}, | |
'longitude': { | |
'range': (1458629.8414059384, 1616407.8831088375), | |
'crs': 'EPSG:3577', | |
} | |
} | |
} | |
expected_result = { | |
'lat': Range(-36.67155581104, -35.3276406574), | |
'lon': Range(148.1454080502, 150.070966205676), | |
} | |
descriptor_query_dimensions = descriptor_query.get('dimensions', {}) | |
search_query = convert_descriptor_dims_to_search_dims(descriptor_query_dimensions) | |
> assert all(map(isclose, search_query['lat'], expected_result['lat'])) | |
E KeyError: 'lat' | |
tests/test_api.py:80: KeyError | |
------------------------------------------- Captured stderr call -------------------------------------------- | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 6: No translation for an empty SRS to PROJ.4 format is known. | |
______________________ test_convert_descriptor_query_to_search_query_with_single_value ______________________ | |
def test_convert_descriptor_query_to_search_query_with_single_value(): | |
descriptor_query = { | |
'dimensions': { | |
'latitude': { | |
'range': -3971790.0737348166, | |
'crs': 'EPSG:3577', | |
}, | |
'longitude': { | |
'range': 1458629.8414059384, | |
'crs': 'EPSG:3577', | |
} | |
} | |
} | |
expected_lat = -35.5160917746369 | |
expected_lon = 148.145408285529885 | |
descriptor_query_dimensions = descriptor_query.get('dimensions', {}) | |
search_query = convert_descriptor_dims_to_search_dims(descriptor_query_dimensions) | |
> assert min(*search_query['lat']) <= expected_lat <= max(*search_query['lat']) | |
E KeyError: 'lat' | |
tests/test_api.py:101: KeyError | |
------------------------------------------- Captured stderr call -------------------------------------------- | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 6: No translation for an empty SRS to PROJ.4 format is known. | |
_______________________________ test_convert_descriptor_dims_to_selector_dims _______________________________ | |
def test_convert_descriptor_dims_to_selector_dims(): | |
storage_crs = 'EPSG:3577' | |
descriptor_query = { | |
'dimensions': { | |
'x': { | |
'range': (148.3, 149.9), | |
}, | |
'y': { | |
'range': (-35.5, -36.5), | |
} | |
} | |
} | |
storage_selector = { | |
'y': { | |
'range': (-3971790.0737348166, -4101004.3359463234) | |
}, | |
'x': { | |
'range': (1458629.8414059384, 1616407.8831088375) | |
} | |
} | |
descriptor_query_dimensions = descriptor_query.get('dimensions', {}) | |
selector_dims = convert_descriptor_dims_to_selector_dims(descriptor_query_dimensions, storage_crs) | |
assert len(selector_dims) == len(descriptor_query_dimensions) | |
> assert isclose(selector_dims['x']['range'][0], storage_selector['x']['range'][0]) | |
E KeyError: 'range' | |
tests/test_api.py:130: KeyError | |
------------------------------------------- Captured stderr call -------------------------------------------- | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 6: No translation for an empty SRS to PROJ.4 format is known. | |
______________________ test_convert_descriptor_dims_to_selector_dims_with_single_value ______________________ | |
def test_convert_descriptor_dims_to_selector_dims_with_single_value(): | |
storage_crs = 'EPSG:3577' | |
descriptor_query = { | |
'dimensions': { | |
'x': { | |
'range': 148.3, | |
}, | |
'y': { | |
'range': -35.5, | |
} | |
} | |
} | |
descriptor_query_dimensions = descriptor_query.get('dimensions', {}) | |
selector_dims = convert_descriptor_dims_to_selector_dims(descriptor_query_dimensions, storage_crs) | |
> assert isclose(selector_dims['x']['range'], 1472748.1820625546) | |
E KeyError: 'range' | |
tests/test_api.py:150: KeyError | |
------------------------------------------- Captured stderr call -------------------------------------------- | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 4: Unable to open EPSG support file gcs.csv. | |
Try setting the GDAL_DATA environment variable to point to the | |
directory containing EPSG csv files. | |
ERROR 6: No translation for an empty SRS to PROJ.4 format is known. | |
============================== 5 failed, 92 passed, 1 xfailed in 5.46 seconds =============================== |
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