def test_invalid_footprint_wofs_summary_load(client: FlaskClient):
# This all-time overview has a valid footprint that becomes invalid
# when reprojected to wgs84 by shapely.
from .data_wofs_summary import wofs_time_summary
_model.STORE._put(wofs_time_summary)
html = get_html(client, "/wofs_summary")
check_dataset_count(html, 1244)
def test_undisplayable_product(client: FlaskClient):
"""
Telemetry products have no footprint available at all.
"""
html = get_html(client, "/ls7_satellite_telemetry_data")
check_dataset_count(html, 4)
assert "36.6GiB" in html.find(".coverage-filesize", first=True).text
assert "(None displayable)" in html.text
assert "No CRSes defined" in html.text
def test_loading_high_low_tide_comp(client: FlaskClient):
html = get_html(client, "/high_tide_comp_20p/2008")
assert html.search('High Tide 20 percentage composites for entire coastline') is not None
check_dataset_count(html, 306)
# Footprint is not exact due to shapely.simplify()
check_area('2,984,...km2', html)
assert html.find('.last-processed time', first=True).attrs['datetime'] == '2017-06-08T20:58:07.014314+00:00'
def test_invalid_footprint_wofs_summary_load(client: FlaskClient):
# This all-time overview has a valid footprint that becomes invalid
# when reprojected to wrs84 by shapely.
from .data_wofs_summary import wofs_time_summary
_model.STORE._do_put("wofs_summary", None, None, None, wofs_time_summary)
html = get_html(client, "/wofs_summary")
check_dataset_count(html, 1244)
d = get_geojson(client, "/api/regions/wofs_summary")
assert len(d["features"]) == 1244
def test_get_day_overviews(client: FlaskClient):
# Individual days are computed on-the-fly rather than from summaries, so can
# have their own issues.
# With a dataset
html = get_html(client, "/ls7_nbar_scene/2017/4/20")
check_dataset_count(html, 1)
assert "ls7_nbar_scene on 20th April 2017" in _h1_text(html)
# Empty day
html = get_html(client, "/ls7_nbar_scene/2017/4/22")
check_dataset_count(html, 0)
def test_loading_high_low_tide_comp(client: FlaskClient):
html = get_html(client, "/high_tide_comp_20p/2008")
assert (
html.search("High Tide 20 percentage composites for entire coastline")
is not None)
check_dataset_count(html, 306)
# Footprint is not exact due to shapely.simplify()
check_area("2,984,...km2", html)
assert (one_element(html, ".last-processed time").attrs["datetime"] ==
"2017-06-08T20:58:07.014314+00:00")
def test_no_data_pages(client: FlaskClient):
"""
Fetch products that exist but have no summaries generated.
(these should load with "empty" messages: not throw exceptions)
"""
html = get_html(client, "/ls8_nbar_albers/2017")
assert "No data: not yet generated" in html.text
assert "Unknown number of datasets" in html.text
html = get_html(client, "/ls8_nbar_albers/2017/5")
assert "No data: not yet generated" in html.text
assert "Unknown number of datasets" in html.text
# Days are generated on demand: it should query and see that there are no datasets.
html = get_html(client, "/ls8_nbar_albers/2017/5/2")
check_dataset_count(html, 0)
def test_out_of_date_range(client: FlaskClient):
"""
We have generated summaries for this product, but the date is out of the product's date range.
"""
html = get_html(client, "/wofs_albers/2010")
# The common error here is to say "No data: not yet generated" rather than "0 datasets"
assert check_dataset_count(html, 0)
assert b"Historic Flood Mapping Water Observations from Space" in html.text
def test_get_overview(client: FlaskClient):
html = get_html(client, "/wofs_albers")
check_dataset_count(html, 11)
check_last_processed(html, "2018-05-20T11:25:35")
assert "wofs_albers whole collection" in _h1_text(html)
check_area("61,...km2", html)
html = get_html(client, "/wofs_albers/2017")
check_dataset_count(html, 11)
check_last_processed(html, "2018-05-20T11:25:35")
assert "wofs_albers across 2017" in _h1_text(html)
html = get_html(client, "/wofs_albers/2017/04")
check_dataset_count(html, 4)
check_last_processed(html, "2018-05-20T09:36:57")
assert "wofs_albers across April 2017" in _h1_text(html)
check_area("30,...km2", html)
def test_get_overview(client: FlaskClient):
html = get_html(client, '/wofs_albers')
check_dataset_count(html, 11)
check_last_processed(html, '2018-05-20T11:25:35')
assert 'wofs_albers whole collection' in _h1_text(html)
check_area('61,...km2', html)
html = get_html(client, '/wofs_albers/2017')
check_dataset_count(html, 11)
check_last_processed(html, '2018-05-20T11:25:35')
assert 'wofs_albers across 2017' in _h1_text(html)
html = get_html(client, '/wofs_albers/2017/04')
check_dataset_count(html, 4)
check_last_processed(html, '2018-05-20T09:36:57')
assert 'wofs_albers across April 2017' in _h1_text(html)
check_area('30,...km2', html)
def test_summary_product(client: FlaskClient):
# These datasets have gigantic footprints that can trip up postgis.
html = get_html(client, "/pq_count_summary")
check_dataset_count(html, 20)
