def test_generate_day(run_generate, summary_store: SummaryStore):
run_generate("ls8_nbar_albers")
_expect_values(
summary_store.get_or_update("ls8_nbar_albers",
year=2017,
month=5,
day=2),
dataset_count=29,
footprint_count=29,
time_range=Range(
begin=datetime(2017, 5, 2, 0, 0, tzinfo=DEFAULT_TZ),
end=datetime(2017, 5, 3, 0, 0, tzinfo=DEFAULT_TZ),
),
newest_creation_time=datetime(2017,
10,
20,
8,
53,
26,
475_609,
tzinfo=tzutc()),
timeline_period="day",
timeline_count=1,
crses={"EPSG:3577"},
size_bytes=None,
)
def test_generate_telemetry(run_generate, summary_store: SummaryStore):
"""
Telemetry data polygons can be synthesized from the path/row values
"""
run_generate("ls8_satellite_telemetry_data")
summary = summary_store.get_or_update("ls8_satellite_telemetry_data")
_expect_values(
summary,
dataset_count=1199,
footprint_count=1199,
time_range=Range(
begin=datetime(2016, 1, 1, 0, 0, tzinfo=DEFAULT_TZ),
end=datetime(2018, 1, 1, 0, 0, tzinfo=DEFAULT_TZ),
),
region_dataset_counts={
"91": 56,
"92": 56,
"93": 56,
"90": 51,
"95": 47,
"94": 45,
"96": 44,
"101": 43,
"98": 43,
"100": 42,
"105": 42,
"111": 42,
"99": 42,
"104": 41,
"110": 41,
"112": 41,
"103": 40,
"107": 40,
"108": 40,
"109": 40,
"89": 40,
"97": 40,
"113": 39,
"102": 37,
"106": 36,
"114": 32,
"116": 29,
"115": 27,
"88": 27,
},
newest_creation_time=datetime(2017, 12, 31, 3, 38, 43, tzinfo=tzutc()),
timeline_period="month",
timeline_count=24,
crses={"EPSG:4326"},
size_bytes=10333203380934,
)
def test_add_no_periods(summary_store: SummaryStore):
"""
All the get/update methods should work on products with no datasets.
"""
summary_store._set_product_extent(
ProductSummary("test_empty_product", 0, None, None, [], []))
summary_store.get_or_update("test_empty_product", 2015, 7, 4)
summary_store.get_or_update("test_empty_product", 2015, 7, None)
summary_store.get_or_update("test_empty_product", 2015, None, None)
summary_store.get_or_update("test_empty_product", None, None, None)
def test_generate_empty_time(run_generate, summary_store: SummaryStore):
run_generate("ls8_nbar_albers")
# No datasets in 2018
summary = summary_store.get_or_update("ls8_nbar_albers",
year=2018,
month=None,
day=None)
assert summary.dataset_count == 0, "There should be no datasets in 2018"
# assert len(summary.timeline_dataset_counts) == 365, "Empty regions should still show up in timeline histogram"
# Year that does not exist for LS8
summary = summary_store.get("ls8_nbar_albers",
year=2006,
month=None,
day=None)
assert summary is None
def test_uninitialised_overview(unpopulated_client: FlaskClient, summary_store: SummaryStore):
# Populate one product, so they don't get the usage error message ("run cubedash generate")
# Then load an unpopulated product.
summary_store.get_or_update('ls7_nbar_albers')
html = get_html(unpopulated_client, '/ls7_nbar_scene/2017')
assert html.find('.coverage-region-count', first=True).text == '0 unique scenes'
