def test_uninitialised_search_page(empty_client: FlaskClient,
summary_store: SummaryStore):
# Populate one product, so they don't get the usage error message ("run cubedash generate")
summary_store.refresh("ls7_nbar_albers")
# Then load a completely uninitialised product.
html = get_html(empty_client, "/datasets/ls7_nbar_scene")
search_results = html.find(".search-result a")
assert len(search_results) == 4
def test_calc_albers_summary_with_storage(summary_store: SummaryStore):
# Should not exist yet.
summary = summary_store.get("ls8_nbar_albers",
year=None,
month=None,
day=None)
assert summary is None
summary = summary_store.get("ls8_nbar_albers",
year=2017,
month=None,
day=None)
assert summary is None
# We don't want it to add a few minutes overlap buffer,
# as we add datasets and refresh immediately.
summary_store.dataset_overlap_carefulness = timedelta(seconds=0)
# Calculate overall summary
_, summary = summary_store.refresh("ls8_nbar_albers")
_expect_values(
summary,
dataset_count=918,
footprint_count=918,
time_range=Range(
begin=datetime(2017, 4, 1, 0, 0, tzinfo=DEFAULT_TZ),
end=datetime(2017, 6, 1, 0, 0, tzinfo=DEFAULT_TZ),
),
newest_creation_time=datetime(2017,
10,
25,
23,
9,
2,
486_851,
tzinfo=tzutc()),
timeline_period="day",
# Data spans 61 days in 2017
timeline_count=61,
crses={"EPSG:3577"},
# Ingested tiles don't store their size.
# TODO: probably should represent this as None instead of zero?
size_bytes=0,
)
original = summary_store.get("ls8_nbar_albers", 2017)
# It should now return the same copy, not rebuild it.
summary_store.refresh("ls8_nbar_albers")
cached_s = summary_store.get("ls8_nbar_albers", 2017)
assert original is not cached_s
assert cached_s.dataset_count == original.dataset_count
assert cached_s.summary_gen_time is not None
assert (cached_s.summary_gen_time == original.summary_gen_time
), "A new, rather than cached, summary was returned"
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.refresh("ls7_nbar_albers")
html = get_html(unpopulated_client, "/ls7_nbar_scene/2017")
# The page should load without error, but will display 'unknown' fields
assert html.find(
"h2", first=True).text == "ls7_nbar_scene: Landsat 7 NBAR 25 metre"
assert "Unknown number of datasets" in html.text
assert "No data: not yet generated" in html.text
def test_add_no_periods(summary_store: SummaryStore):
"""
All the get/update methods should work on products with no datasets.
"""
result, summary = summary_store.refresh("ga_ls8c_level1_3")
assert result == GenerateResult.CREATED
assert summary.dataset_count == 0
assert summary_store.get("ga_ls8c_level1_3", 2015, 7, 4).dataset_count == 0
result, summary = summary_store.refresh("ga_ls8c_level1_3")
assert result == GenerateResult.NO_CHANGES
assert summary.dataset_count == 0
assert summary_store.get("ga_ls8c_level1_3").dataset_count == 0
assert summary_store.get("ga_ls8c_level1_3", 2015, 7, None) is None
def test_uninitialised_product(empty_client: FlaskClient,
summary_store: SummaryStore):
"""
An unsummarised product should still be viewable on the product page.
(but should be described as not summarised)
"""
# Populate one product, so they don't get the usage error message ("run cubedash generate")
# Then load an unpopulated product.
summary_store.refresh("ls7_nbar_albers")
html = get_html(empty_client, "/products/ls7_nbar_scene")
# The page should load without error, but will mention its lack of information
assert html.find("h2", first=True).text == "ls7_nbar_scene"
assert ("Product not summarised"
in one_element(html, ".header-stat-information").text)
# ... and a product that we populated does not have the message:
html = get_html(empty_client, "/products/ls7_nbar_albers")
assert ("Product not summarised"
not in one_element(html, ".header-stat-information").text)
