|
| 1 | +from __future__ import annotations |
| 2 | + |
| 3 | +from itertools import product |
| 4 | +from typing import TYPE_CHECKING, Literal |
| 5 | + |
| 6 | +import pytest |
| 7 | +import shapely |
| 8 | +from arro3.core import Array, DataType, Field, Schema, Table |
| 9 | + |
| 10 | +from lonboard import ScatterplotLayer, viz |
| 11 | +from lonboard._geoarrow.parse_wkb import parse_serialized_table |
| 12 | + |
| 13 | +if TYPE_CHECKING: |
| 14 | + from numpy.typing import NDArray |
| 15 | + |
| 16 | + |
| 17 | +@pytest.mark.parametrize( |
| 18 | + ("serialization", "view_type"), |
| 19 | + list(product(["wkb", "wkt"], [True, False])), |
| 20 | +) |
| 21 | +def test_parse_wkb( |
| 22 | + serialization: Literal["wkb", "wkt"], |
| 23 | + view_type: bool, # noqa: FBT001 |
| 24 | +): |
| 25 | + points = shapely.points([1, 2, 3], [4, 5, 6]) |
| 26 | + if serialization == "wkb": |
| 27 | + serialized_np_arr: NDArray = shapely.to_wkb(points) |
| 28 | + geoarrow_type = "geoarrow.wkb" |
| 29 | + else: |
| 30 | + serialized_np_arr = shapely.to_wkt(points) |
| 31 | + geoarrow_type = "geoarrow.wkt" |
| 32 | + |
| 33 | + if serialization == "wkb": |
| 34 | + dtype = DataType.binary_view() if view_type else DataType.binary() |
| 35 | + else: |
| 36 | + dtype = DataType.string_view() if view_type else DataType.string() |
| 37 | + |
| 38 | + arr = Array(list(serialized_np_arr), type=dtype) |
| 39 | + schema = Schema( |
| 40 | + [ |
| 41 | + Field( |
| 42 | + "geometry", |
| 43 | + arr.type, |
| 44 | + metadata={"ARROW:extension:name": geoarrow_type}, |
| 45 | + ), |
| 46 | + ], |
| 47 | + ) |
| 48 | + table = Table.from_arrays([arr], schema=schema) |
| 49 | + split_tables = parse_serialized_table(table) |
| 50 | + assert len(split_tables) == 1 |
| 51 | + assert ( |
| 52 | + split_tables[0].schema.field(0).metadata_str["ARROW:extension:name"] |
| 53 | + == "geoarrow.point" |
| 54 | + ) |
| 55 | + |
| 56 | + m = viz(table) |
| 57 | + assert isinstance(m.layers[0], ScatterplotLayer) |
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