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import pytest
import altair.vegalite.v5 as alt
def geom_obj(geom):
class Geom:
pass
geom_obj = Geom()
geom_obj.__geo_interface__ = geom
return geom_obj
# correct translation of Polygon geometry to Feature type
def test_geo_interface_polygon_feature():
geom = {
"coordinates": [[(0, 0), (0, 2), (2, 2), (2, 0), (0, 0)]],
"type": "Polygon",
}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
assert spec["data"]["values"]["type"] == "Feature"
# merge geometry with empty properties dictionary
def test_geo_interface_removal_empty_properties():
geom = {
"geometry": {
"coordinates": [
[[6.90, 53.48], [5.98, 51.85], [6.07, 53.51], [6.90, 53.48]]
],
"type": "Polygon",
},
"id": None,
"properties": {},
"type": "Feature",
}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
assert spec["data"]["values"]["type"] == "Feature"
# only register metadata in the properties member
def test_geo_interface_register_foreign_member():
geom = {
"geometry": {
"coordinates": [
[[6.90, 53.48], [5.98, 51.85], [6.07, 53.51], [6.90, 53.48]]
],
"type": "Polygon",
},
"id": 2,
"properties": {"foo": "bah"},
"type": "Feature",
}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
with pytest.raises(KeyError):
spec["data"]["values"]["id"]
assert spec["data"]["values"]["foo"] == "bah"
# correct serializing of arrays and nested tuples
def test_geo_interface_serializing_arrays_tuples():
import array as arr
geom = {
"bbox": arr.array("d", [1, 2, 3, 4]),
"geometry": {
"coordinates": [
(
(6.90, 53.48),
(5.98, 51.85),
(6.07, 53.51),
(6.90, 53.48),
)
],
"type": "Polygon",
},
"id": 27,
"properties": {},
"type": "Feature",
}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
assert spec["data"]["values"]["geometry"]["coordinates"][0][0] == [6.9, 53.48]
# overwrite existing 'type' value in properties with `Feature`
def test_geo_interface_reserved_members():
geom = {
"geometry": {
"coordinates": [
[[6.90, 53.48], [5.98, 51.85], [6.07, 53.51], [6.90, 53.48]]
],
"type": "Polygon",
},
"id": 27,
"properties": {"type": "foo"},
"type": "Feature",
}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
assert spec["data"]["values"]["type"] == "Feature"
# an empty FeatureCollection is valid
def test_geo_interface_empty_feature_collection():
geom = {"type": "FeatureCollection", "features": []}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
assert spec["data"]["values"] == []
# Features in a FeatureCollection only keep properties and geometry
def test_geo_interface_feature_collection():
geom = {
"type": "FeatureCollection",
"features": [
{
"geometry": {
"coordinates": [
[[6.90, 53.48], [5.98, 51.85], [6.07, 53.51], [6.90, 53.48]]
],
"type": "Polygon",
},
"id": 27,
"properties": {"type": "foo", "id": 1, "geometry": 1},
"type": "Feature",
},
{
"geometry": {
"coordinates": [
[[8.90, 53.48], [7.98, 51.85], [8.07, 53.51], [8.90, 53.48]]
],
"type": "Polygon",
},
"id": 28,
"properties": {"type": "foo", "id": 2, "geometry": 1},
"type": "Feature",
},
],
}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
assert spec["data"]["values"][0]["id"] == 1
assert spec["data"]["values"][1]["id"] == 2
assert "coordinates" in spec["data"]["values"][0]["geometry"]
assert "coordinates" in spec["data"]["values"][1]["geometry"]
assert spec["data"]["values"][0]["type"] == "Feature"
assert spec["data"]["values"][1]["type"] == "Feature"
# typical output of a __geo_interface__ from geopandas GeoDataFrame
# notic that the index value is registerd as a commonly used identifier
# with the name "id" (in this case 49). Similar to serialization of a
# pandas DataFrame is the index not included in the output
def test_geo_interface_feature_collection_gdf():
geom = {
"bbox": (19.89, -26.82, 29.43, -17.66),
"features": [
{
"bbox": (19.89, -26.82, 29.43, -17.66),
"geometry": {
"coordinates": [
[[6.90, 53.48], [5.98, 51.85], [6.07, 53.51], [6.90, 53.48]]
],
"type": "Polygon",
},
"id": "49",
"properties": {
"continent": "Africa",
"gdp_md_est": 35900.0,
"id": "BWA",
"iso_a3": "BWA",
"name": "Botswana",
"pop_est": 2214858,
},
"type": "Feature",
}
],
"type": "FeatureCollection",
}
feat = geom_obj(geom)
with alt.data_transformers.enable(consolidate_datasets=False):
spec = alt.Chart(feat).mark_geoshape().to_dict()
assert spec["data"]["values"][0]["id"] == "BWA"
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