diff --git a/flake.nix b/flake.nix index 43555718318f1..8735515fed140 100644 --- a/flake.nix +++ b/flake.nix @@ -81,10 +81,11 @@ ]; mkDevShell = env: pkgs.mkShell { - name = "ibis-${env.python.version}"; - nativeBuildInputs = (with pkgs; [ + name = "ibis-${env.pythonVersion}"; + nativeBuildInputs = [ # python dev environment env + ] ++ (with pkgs; [ # poetry executable poetry # rendering release notes @@ -117,6 +118,8 @@ Driver = ${pkgs.lib.makeLibraryPath [ pkgs.freetds ]}/libtdsodbc.so ''; + GDAL_DATA = "${pkgs.gdal}/share/gdal"; + __darwinAllowLocalNetworking = true; }; in diff --git a/ibis/backends/duckdb/__init__.py b/ibis/backends/duckdb/__init__.py index cdc88fd5dc2be..68b7fe3ca2214 100644 --- a/ibis/backends/duckdb/__init__.py +++ b/ibis/backends/duckdb/__init__.py @@ -1581,6 +1581,107 @@ def to_csv( with self._safe_raw_sql(copy_cmd): pass + @util.experimental + def to_geo( + self, + expr: ir.Table, + path: str | Path, + *, + format: str, + layer_creation_options: Mapping[str, Any] | None = None, + params: Mapping[ir.Scalar, Any] | None = None, + limit: int | str | None = None, + **kwargs: Any, + ) -> None: + """Write the results of executing `expr` to a geospatial output. + + Parameters + ---------- + expr + Ibis expression to execute and persist to geospatial output. + path + A string or Path to the desired output file location. + format + The format of the geospatial output. One of GDAL's supported formats. + layer_creation_options + A mapping of layer creation options. + params + Mapping of scalar parameter expressions to value. + limit + An integer to effect a specific row limit. A value of `None` means no limit. + kwargs + Additional keyword arguments passed to the DuckDB `COPY` command. + + Examples + -------- + >>> import os + >>> import tempfile + >>> import ibis + >>> ibis.options.interactive = True + >>> from ibis import _ + + Load some geospatial data + + >>> con = ibis.duckdb.connect() + >>> zones = ibis.examples.zones.fetch(backend=con) + >>> zones[["zone", "geom"]].head() + ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ + ┃ zone ┃ geom ┃ + ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ + │ string │ geospatial:geometry │ + ├───────────────────────────────────────┼──────────────────────────────────────┤ + │ │ │ + │ │ │ + │ │ │ + │ │ │ + │ │ │ + └───────────────────────────────────────┴──────────────────────────────────────┘ + + Write to a GeoJSON file + + >>> with tempfile.TemporaryDirectory() as tmpdir: + ... con.to_geo( + ... zones, + ... path=os.path.join(tmpdir, "zones.geojson"), + ... format="geojson", + ... ) + + Write to a Shapefile + + >>> with tempfile.TemporaryDirectory() as tmpdir: + ... con.to_geo( + ... zones, + ... path=os.path.join(tmpdir, "zones.shp"), + ... format="ESRI Shapefile", + ... ) + """ + self._run_pre_execute_hooks(expr) + query = self.compile(expr, params=params, limit=limit) + + args = ["FORMAT GDAL", f"DRIVER '{format}'"] + + if layer_creation_options := " ".join( + f"{k.upper()}={v}" for k, v in (layer_creation_options or {}).items() + ): + args.append(f"LAYER_CREATION_OPTIONS '{layer_creation_options}'") + + args.extend(f"{k.upper()} {v!r}" for k, v in (kwargs or {}).items()) + + copy_cmd = f"COPY ({query}) TO {str(path)!r} ({', '.join(args)})" + + with self._safe_raw_sql(copy_cmd): + pass + def _get_schema_using_query(self, query: str) -> sch.Schema: with self._safe_raw_sql(f"DESCRIBE {query}") as cur: rows = cur.fetch_arrow_table() diff --git a/ibis/backends/duckdb/tests/test_geospatial.py b/ibis/backends/duckdb/tests/test_geospatial.py index 9ac0fea850d36..3e04ffe34880a 100644 --- a/ibis/backends/duckdb/tests/test_geospatial.py +++ b/ibis/backends/duckdb/tests/test_geospatial.py @@ -1,5 +1,6 @@ from __future__ import annotations +import os from operator import attrgetter, methodcaller import numpy.testing as npt @@ -10,13 +11,15 @@ from pytest import param import ibis -from ibis.conftest import LINUX, MACOS, SANDBOXED +from ibis.conftest import LINUX, MACOS, SANDBOXED, WINDOWS duckdb = pytest.importorskip("duckdb") gpd = pytest.importorskip("geopandas") gtm = pytest.importorskip("geopandas.testing") shapely = pytest.importorskip("shapely") +Point = shapely.Point + def test_geospatial_point(zones, zones_gdf): coord = zones.x_cent.point(zones.y_cent).name("coord") @@ -27,16 +30,10 @@ def test_geospatial_point(zones, zones_gdf): # this functions are not implemented in geopandas -@pytest.mark.parametrize( - ("operation", "keywords"), - [ - param("as_text", {}, id="as_text"), - param("n_points", {}, id="n_points"), - ], -) -def test_geospatial_unary_snapshot(operation, keywords, assert_sql): +@pytest.mark.parametrize("operation", ["as_text", "n_points"]) +def test_geospatial_unary_snapshot(operation, assert_sql): t = ibis.table([("geom", "geometry")], name="t") - expr = getattr(t.geom, operation)(**keywords).name("tmp") + expr = getattr(t.geom, operation)().name("tmp") assert_sql(expr) @@ -49,39 +46,32 @@ def test_geospatial_dwithin(assert_sql): # geospatial unary functions that return a non-geometry series # we can test using pd.testing (tm) @pytest.mark.parametrize( - ("op", "keywords", "gp_op"), + ("op", "gp_op"), [ - param("area", {}, "area", id="area"), - param("is_valid", {}, "is_valid", id="is_valid"), + param("area", "area", id="area"), + param("is_valid", "is_valid", id="is_valid"), param( "geometry_type", - {}, "geom_type", id="geometry_type", marks=pytest.mark.xfail(raises=pa.lib.ArrowTypeError), ), ], ) -def test_geospatial_unary_tm(op, keywords, gp_op, zones, zones_gdf): - expr = getattr(zones.geom, op)(**keywords).name("tmp") +def test_geospatial_unary_tm(op, gp_op, zones, zones_gdf): + expr = getattr(zones.geom, op)().name("tmp") gp_expr = getattr(zones_gdf.geometry, gp_op) tm.assert_series_equal(expr.to_pandas(), gp_expr, check_names=False) -@pytest.mark.parametrize( - ("op", "keywords", "gp_op"), - [ - param("x", {}, "x", id="x_coord"), - param("y", {}, "y", id="y_coord"), - ], -) -def test_geospatial_xy(op, keywords, gp_op, zones, zones_gdf): +@pytest.mark.parametrize("op", ["x", "y"], ids=["x_coord", "y_coord"]) +def test_geospatial_xy(op, zones, zones_gdf): cen = zones.geom.centroid().name("centroid") gp_cen = zones_gdf.geometry.centroid - expr = getattr(cen, op)(**keywords).name("tmp") - gp_expr = getattr(gp_cen, gp_op) + expr = getattr(cen, op)().name("tmp") + gp_expr = getattr(gp_cen, op) tm.assert_series_equal(expr.to_pandas(), gp_expr, check_names=False) @@ -122,33 +112,20 @@ def test_geospatial_binary_tm(op, gp_op, zones, zones_gdf): # geospatial unary functions that return a geometry series # we can test using gpd.testing (gtm) -@pytest.mark.parametrize( - ("op", "gp_op"), - [ - param("centroid", "centroid", id="centroid"), - param("envelope", "envelope", id="envelope"), - ], -) -def test_geospatial_unary_gtm(op, gp_op, zones, zones_gdf): +@pytest.mark.parametrize("op", ["centroid", "envelope"]) +def test_geospatial_unary_gtm(op, zones, zones_gdf): expr = getattr(zones.geom, op)().name("tmp") - gp_expr = getattr(zones_gdf.geometry, gp_op) + gp_expr = getattr(zones_gdf.geometry, op) gtm.assert_geoseries_equal(expr.to_pandas(), gp_expr, check_crs=False) # geospatial binary functions that return a geometry series # we can test using gpd.testing (gtm) -@pytest.mark.parametrize( - ("op", "gp_op"), - [ - param("difference", "difference", id="difference"), - param("intersection", "intersection", id="intersection"), - param("union", "union", id=""), - ], -) -def test_geospatial_binary_gtm(op, gp_op, zones, zones_gdf): +@pytest.mark.parametrize("op", ["difference", "intersection", "union"]) +def test_geospatial_binary_gtm(op, zones, zones_gdf): expr = getattr(zones.geom, op)(zones.geom).name("tmp") - gp_func = getattr(zones_gdf.geometry, gp_op)(zones_gdf.geometry) + gp_func = getattr(zones_gdf.geometry, op)(zones_gdf.geometry) gtm.assert_geoseries_equal(expr.to_pandas(), gp_func, check_crs=False) @@ -249,9 +226,9 @@ def test_geospatial_flip_coordinates(geotable): flipped = geotable.geom.flip_coordinates() # flipped coords - point = shapely.geometry.Point(40, -100) - line_string = shapely.geometry.LineString([[0, 0], [1, 1], [1, 2], [2, 2]]) - polygon = shapely.geometry.Polygon(((0, 0), (0, 1), (1, 1), (1, 0), (0, 0))) + point = shapely.Point(40, -100) + line_string = shapely.LineString([[0, 0], [1, 1], [1, 2], [2, 2]]) + polygon = shapely.Polygon(((0, 0), (0, 1), (1, 1), (1, 0), (0, 0))) d = { "name": ["Point", "LineString", "Polygon"], @@ -350,26 +327,15 @@ def geo_line_lit(): return ibis.literal(shapely.LineString([[0, 0], [1, 0], [1, 1]]), type="geometry") -@pytest.fixture -def ext_dir(tmp_path_factory): - # this directory is necessary because of Windows extension downloads race - # condition - return tmp_path_factory.mktemp("extensions") - - -def test_geo_unop_geo_literals(ext_dir, geo_line_lit): +def test_geo_unop_geo_literals(con, geo_line_lit): """GeoSpatialUnOp operation on a geospatial literal""" - con = ibis.duckdb.connect(extension_directory=ext_dir) expr = geo_line_lit.length() - assert con.execute(expr) == 2 -def test_geo_binop_geo_literals(ext_dir, geo_line_lit): +def test_geo_binop_geo_literals(con, geo_line_lit): """GeoSpatialBinOp operation on a geospatial literal""" - con = ibis.duckdb.connect(extension_directory=ext_dir) expr = geo_line_lit.distance(shapely.Point(0, 0)) - assert con.execute(expr) == 0 @@ -380,12 +346,13 @@ def test_cast_wkb_to_geo(con): assert isinstance(con.execute(geo_expr), gpd.GeoSeries) -def test_load_spatial_casting(ext_dir): - con = ibis.duckdb.connect(extension_directory=ext_dir) - parquet_file = "https://github.com/ibis-project/testing-data/raw/master/parquet/geo_wkb.parquet" - t = con.read_parquet(parquet_file) +def test_load_spatial_casting(data_dir, tmp_path_factory): + # this directory is necessary because of Windows extension downloads race + # condition + con = ibis.duckdb.connect(extension_directory=tmp_path_factory.mktemp("extensions")) + t = con.read_parquet(data_dir / "parquet" / "geo_wkb.parquet") - geo_expr = t.geometry.cast("geometry") + geo_expr = t.limit(1).geometry.cast("geometry") assert geo_expr.type().is_geospatial() assert isinstance(con.execute(geo_expr), gpd.GeoSeries) @@ -398,3 +365,200 @@ def test_geom_from_string(con): expr = value.cast("geometry") result = con.execute(expr) assert result == shapely.from_wkt("POINT (1 2)") + + +def no_roundtrip( + *, + reason: str, + raises: type[Exception] | tuple[type[Exception], ...] = ( + duckdb.IOException, + duckdb.NotImplementedException, + duckdb.PermissionException, + ), +): + """Mark a test as expected to fail due to a reader/writer issue.""" + return pytest.mark.xfail(raises=raises, reason=reason) + + +@pytest.mark.parametrize( + ("driver", "canonical_extension", "kwargs", "preproc"), + [ + param("ESRI Shapefile", "shp", {}, None, id="shapefile"), + param("MapInfo File", "mif", {}, None, id="mapinfo"), + param( + "S57", + None, + {}, + None, + marks=no_roundtrip( + reason="GDAL Error (1): Unable to load s57objectclasses.csv. Unable to continue.", + ), + id="s57", + ), + param( + "CSV", + None, + {"layer_creation_options": {"geometry_name": "geom", "geometry": "as_wkt"}}, + lambda t: t.mutate(geom=t.geom.as_text()), + id="csv", + ), + ("GML", None, {}, None), + param( + "GPX", + None, + {}, + None, + marks=no_roundtrip(reason="no geometry type specified"), + id="gpx", + ), + param("KML", None, {}, None, id="kml"), + param("GeoJSON", None, {}, None, id="geojson"), + param("GeoJSONSeq", None, {}, None, id="geojsonseq"), + param("OGR_GMT", "gmt", {}, None, id="gmt"), + param("GPKG", None, {}, None, id="gpkg"), + param("SQLite", None, {}, None, id="sqlite"), + param( + "WAsP", + "map", + {}, + None, + marks=[ + no_roundtrip(reason="only linestrings are allowed"), + pytest.mark.skipif(condition=WINDOWS, reason="hard crash on windows"), + ], + id="wasp", + ), + param( + "OpenFileGDB", + "gdb", + { + "layer_creation_options": {"geometry_name": "geom"}, + "geometry_type": "point", + }, + None, + id="gdb", + ), + param("FlatGeobuf", "fgb", {}, None, id="flatgeobuf"), + param( + "Geoconcept", + "gxt", + {"srs": "4326"}, + None, + id="geoconcept", + marks=no_roundtrip(reason="not entirely sure"), + ), + param( + "PGDUMP", + None, + {"layer_creation_options": {"geometry_name": "geom"}}, + None, + marks=no_roundtrip(reason="can only be read by postgres"), + id="pgdump", + ), + param( + "GPSBabel", + None, + {}, + None, + id="gpsbabel", + marks=no_roundtrip( + reason="duckdb can't write this because it doesn't expose GDAL's dataset creation options" + ), + ), + param( + "ODS", + "ods", + {}, + lambda t: t.mutate(geom=t.geom.as_text()), + marks=pytest.mark.xfail( + condition=WINDOWS, + raises=duckdb.IOException, + reason="not working on windows", + ), + id="ods", + ), + param("XLSX", "xlsx", {}, lambda t: t.mutate(geom=t.geom.as_text()), id="xlsx"), + param( + "Selafin", + None, + {}, + None, + marks=no_roundtrip(reason="duckdb wkb doesn't preserve the geometry type"), + id="selafin", + ), + param("JML", None, {}, None, id="jml"), + param("VDV", None, {}, lambda t: t.mutate(geom=t.geom.as_text()), id="vdv"), + param( + "MVT", + "pbf", + {}, + None, + marks=no_roundtrip(reason="can't read the written file"), + id="mvt", + ), + param("MapML", None, {}, None, id="mapml"), + param( + "PMTiles", + None, + {}, + None, + id="pmtiles", + marks=no_roundtrip(reason="row counts differ", raises=AssertionError), + ), + param("JSONFG", None, {}, None, id="jsonfg"), + ], +) +def test_to_geo(con, driver, canonical_extension, kwargs, preproc, tmp_path): + data = ibis.memtable({"x": [1, 3], "y": [2, 4]}).mutate( + geom=lambda t: t.x.point(t.y) + ) + + if preproc is not None: + data = preproc(data) + + ext = canonical_extension or driver.replace(" ", "_").lower() + out = tmp_path / f"outfile.{ext}" + + con.to_geo(data, path=out, format=driver, **kwargs) + dread = con.read_geo(out) + + assert dread.count().execute() == 2 + + +GDAL_DATA = os.environ.get("GDAL_DATA") + + +@pytest.mark.parametrize( + "driver", + [ + param( + "DGN", + marks=pytest.mark.xfail( + condition=GDAL_DATA is None, + raises=duckdb.IOException, + reason="GDAL_DATA not set", + ), + ), + param( + "DXF", + marks=pytest.mark.xfail( + condition=GDAL_DATA is None, + raises=duckdb.IOException, + reason="GDAL_DATA not set", + ), + ), + "GEORSS", + ], +) +def test_to_geo_geom_only(con, driver, tmp_path): + data = ibis.memtable({"x": [1, 3], "y": [2, 4]}).select( + geom=lambda t: t.x.point(t.y) + ) + + ext = driver.replace(" ", "_").lower() + out = tmp_path / f"outfile.{ext}" + + con.to_geo(data, path=out, format=driver) + dread = con.read_geo(out) + + assert dread.count().execute() == 2