def test_api_returns_limited_tile_regions(client: FlaskClient):
"""
Covers most of the 'normal' products: they have a footprint, bounds and a simple crs epsg code.
"""
geojson = get_geojson(client, '/api/regions/wofs_albers/2017/04')
assert len(geojson['features']) == 4, "Unexpected wofs albers region month count"
geojson = get_geojson(client, '/api/regions/wofs_albers/2017/04/20')
print(json.dumps(geojson, indent=4))
assert len(geojson['features']) == 1, "Unexpected wofs albers region day count"
geojson = get_geojson(client, '/api/regions/wofs_albers/2017/04/6')
assert len(geojson['features']) == 0, "Unexpected wofs albers region count"
def get_items(client: FlaskClient, url: str) -> Dict:
"""
Get a URL, expecting a valid stac item collection document to be there"""
with DebugContext(f"Requested {repr(url)}"):
data = get_geojson(client, url)
assert_item_collection(data)
return data
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_api_returns_high_tide_comp_datasets(client: FlaskClient):
"""
These are slightly fun to handle as they are a small number with a huge time range.
"""
geojson = get_geojson(client, '/api/datasets/high_tide_comp_20p')
assert len(geojson['features']) == 306, "Not all high tide datasets returned as geojson"
# Check that they're not just using the center time.
# Within the time range, but not the center_time.
# Range: '2000-01-01T00:00:00' to '2016-10-31T00:00:00'
# year
geojson = get_geojson(client, '/api/datasets/high_tide_comp_20p/2000')
assert len(geojson['features']) == 306, "Expected high tide datasets within whole dataset range"
# month
geojson = get_geojson(client, '/api/datasets/high_tide_comp_20p/2009/5')
assert len(geojson['features']) == 306, "Expected high tide datasets within whole dataset range"
# day
geojson = get_geojson(client, '/api/datasets/high_tide_comp_20p/2016/10/1')
assert len(geojson['features']) == 306, "Expected high tide datasets within whole dataset range"
# Completely out of the test dataset time range. No results.
geojson = get_geojson(client, '/api/datasets/high_tide_comp_20p/2018')
assert len(geojson['features']) == 0, "Expected no high tide datasets in in this year"
def test_api_returns_high_tide_comp_datasets(client: FlaskClient):
"""
These are slightly fun to handle as they are a small number with a huge time range.
"""
geojson = get_geojson(client, "/api/datasets/high_tide_comp_20p")
assert (
len(geojson["features"]) == 306
), "Not all high tide datasets returned as geojson"
# Search and time summary is only based on center time.
# These searches are within the dataset time range, but not the center_time.
# Dataset range: '2000-01-01T00:00:00' to '2016-10-31T00:00:00'
# year
geojson = get_geojson(client, "/api/datasets/high_tide_comp_20p/2008")
assert (
len(geojson["features"]) == 306
), "Expected high tide datasets within whole dataset range"
# month
geojson = get_geojson(client, "/api/datasets/high_tide_comp_20p/2008/6")
assert (
len(geojson["features"]) == 306
), "Expected high tide datasets within whole dataset range"
# day
geojson = get_geojson(client, "/api/datasets/high_tide_comp_20p/2008/6/1")
assert (
len(geojson["features"]) == 306
), "Expected high tide datasets within whole dataset range"
# Out of the test dataset time range. No results.
# Completely outside of range
geojson = get_geojson(client, "/api/datasets/high_tide_comp_20p/2018")
assert (
len(geojson["features"]) == 0
), "Expected no high tide datasets in in this year"
# One day before/after (is time zone handling correct?)
geojson = get_geojson(client, "/api/datasets/high_tide_comp_20p/2008/6/2")
assert len(geojson["features"]) == 0, "Expected no result one-day-after center time"
geojson = get_geojson(client, "/api/datasets/high_tide_comp_20p/2008/5/31")
assert len(geojson["features"]) == 0, "Expected no result one-day-after center time"
def test_api_returns_tiles_regions(client: FlaskClient):
"""
Covers most of the 'normal' products: they have a footprint, bounds and a simple crs epsg code.
"""
geojson = get_geojson(client, "/api/regions/ls7_nbart_albers")
assert len(geojson["features"]) == 4, "Unexpected albers region count"
def test_api_returns_scene_regions(client: FlaskClient):
"""
L1 scenes have no footprint, falls back to bounds. Have weird CRSes too.
"""
geojson = get_geojson(client, "/api/regions/ls8_level1_scene")
assert len(geojson["features"]) == 7, "Unexpected scene region count"
def get_items(client: FlaskClient, url: str) -> Dict:
with DebugContext(f"Requested {repr(url)}"):
data = get_geojson(client, url)
assert_collection(data)
return data
def test_api_returns_tiles_as_geojson(client: FlaskClient):
"""
Covers most of the 'normal' products: they have a footprint, bounds and a simple crs epsg code.
"""
geojson = get_geojson(client, '/api/datasets/ls7_nbart_albers')
assert len(geojson['features']) == 4, "Unepected albers polygon count"
def test_api_returns_scenes_as_geojson(client: FlaskClient):
"""
L1 scenes have no footprint, falls back to bounds. Have weird CRSes too.
"""
geojson = get_geojson(client, '/api/datasets/ls8_level1_scene')
assert len(geojson['features']) == 7, "Unexpected scene polygon count"
