build: update dependencies as of 2025-05-07

.github/workflows/ci.yml

@@ -18,7 +18,7 @@ jobs:
       fail-fast: false
       matrix:
         # use all supported versions from https://devguide.python.org/versions/
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12", "3.13"]
 
     with:
       python-version: ${{ matrix.python-version }}
@@ -31,6 +31,6 @@ jobs:
     uses: geo-engine/geoengine-python/.github/workflows/test-python.yml@main
 
     with:
-      python-version: 3.9
+      python-version: "3.10"
       use-uv: true
       coverage: true

geoengine/colorizer.py

@@ -7,7 +7,6 @@
 import warnings
 from typing import Dict, List, Tuple, Union, cast
 import numpy as np
-import numpy.typing as npt
 from matplotlib.colors import Colormap
 from matplotlib.cm import ScalarMappable
 import geoengine_openapi_client
@@ -67,8 +66,9 @@ def linear_with_mpl_cmap(
             raise ValueError(f"underColor must be a RGBA color specification, got {under_color} instead.")
 
         # get the map, and transform it to a list of (uint8) rgba values
-        list_of_rgba_colors: List[npt.NDArray[np.uint8]] = ScalarMappable(cmap=color_map).to_rgba(
-            np.linspace(min_max[0], min_max[1], n_steps), bytes=True)
+        list_of_rgba_colors = ScalarMappable(cmap=color_map).to_rgba(
+            np.linspace(min_max[0], min_max[1], n_steps), bytes=True
+        )
 
         # if you want to remap the colors, you can do it here (e.g. cutting of the most extreme colors)
         values_of_breakpoints: List[float] = np.linspace(min_max[0], min_max[1], n_steps).tolist()
@@ -120,8 +120,9 @@ def logarithmic_with_mpl_cmap(
             raise ValueError(f"underColor must be a RGBA color specification, got {under_color} instead.")
 
         # get the map, and transform it to a list of (uint8) rgba values
-        list_of_rgba_colors: List[npt.NDArray[np.uint8]] = ScalarMappable(cmap=color_map).to_rgba(
-            np.linspace(min_max[0], min_max[1], n_steps), bytes=True)
+        list_of_rgba_colors = ScalarMappable(cmap=color_map).to_rgba(
+            np.linspace(min_max[0], min_max[1], n_steps), bytes=True
+        )
 
         # if you want to remap the colors, you can do it here (e.g. cutting of the most extreme colors)
         values_of_breakpoints: List[float] = np.logspace(np.log10(min_max[0]), np.log10(min_max[1]), n_steps).tolist()
@@ -192,8 +193,9 @@ def palette_with_colormap(
                                       f"Number of available colors: {n_colors_of_cmap}"))
 
         # we only need to generate enough different colors for all values specified in the colors parameter
-        list_of_rgba_colors: List[npt.NDArray[np.uint8]] = ScalarMappable(cmap=color_map).to_rgba(
-            np.linspace(0, len(values), len(values)), bytes=True)
+        list_of_rgba_colors = ScalarMappable(cmap=color_map).to_rgba(
+            np.linspace(0, len(values), len(values)), bytes=True
+        )
 
         # generate the dict with value: color mapping
         color_mapping: Dict[float, Rgba] = dict(zip(

geoengine/raster.py

@@ -86,11 +86,11 @@ def has_null_values(self) -> bool:
 
     @property
     def time_start_ms(self) -> np.datetime64:
-        return np.datetime64(self.time.start, 'ms')
+        return self.time.start.astype('datetime64[ms]')
 
     @property
-    def time_end_ms(self) -> np.datetime64:
-        return np.datetime64(self.time.end, 'ms')
+    def time_end_ms(self) -> Optional[np.datetime64]:
+        return None if self.time.end is None else self.time.end.astype('datetime64[ms]')
 
     @property
     def pixel_size(self) -> Tuple[float, float]:
@@ -290,7 +290,7 @@ def single_band(self, index: int) -> RasterTile2D:
     def to_numpy_masked_array_stack(self) -> np.ma.MaskedArray:
         '''Return the raster stack as a 3D masked numpy array'''
         arrays = [self.single_band(i).to_numpy_masked_array() for i in range(0, len(self.data))]
-        stack = np.stack(arrays, axis=0)
+        stack = np.ma.stack(arrays, axis=0)
         return stack
 
     def to_xarray(self, clip_with_bounds: Optional[gety.SpatialBounds] = None) -> xr.DataArray:

geoengine/workflow.py

@@ -26,7 +26,6 @@
 from owslib.wcs import WebCoverageService
 from vega import VegaLite
 import websockets
-import websockets.client
 import xarray as xr
 import pyarrow as pa
 
@@ -585,7 +584,7 @@ async def raster_stream(
         if url is None:
             raise InputException('Invalid websocket url')
 
-        async with websockets.client.connect(
+        async with websockets.asyncio.client.connect(
             uri=self.__replace_http_with_ws(url),
             extra_headers=session.auth_header,
             open_timeout=open_timeout,
@@ -594,7 +593,7 @@ async def raster_stream(
 
             tile_bytes: Optional[bytes] = None
 
-            while websocket.open:
+            while websocket.state == websockets.protocol.State.OPEN:
                 async def read_new_bytes() -> Optional[bytes]:
                     # already send the next request to speed up the process
                     try:
@@ -792,7 +791,7 @@ def process_bytes(batch_bytes: Optional[bytes]) -> Optional[gpd.GeoDataFrame]:
         if url is None:
             raise InputException('Invalid websocket url')
 
-        async with websockets.client.connect(
+        async with websockets.asyncio.client.connect(
             uri=self.__replace_http_with_ws(url),
             extra_headers=session.auth_header,
             open_timeout=open_timeout,
@@ -801,7 +800,7 @@ def process_bytes(batch_bytes: Optional[bytes]) -> Optional[gpd.GeoDataFrame]:
 
             batch_bytes: Optional[bytes] = None
 
-            while websocket.open:
+            while websocket.state == websockets.protocol.State.OPEN:
                 async def read_new_bytes() -> Optional[bytes]:
                     # already send the next request to speed up the process
                     try:

mypy.ini

@@ -42,10 +42,3 @@ ignore_missing_imports = True
 
 [mypy-sklearn.*]
 ignore_missing_imports = True
-
-# testcontainers is typed, but it doesn't correctly declare itself as such.
-# Hopefully it can be fixed one day:
-#
-# https://github.com/testcontainers/testcontainers-python/issues/305
-[mypy-testcontainers.*]
-ignore_missing_imports = True

setup.cfg

@@ -16,26 +16,31 @@ classifiers =
 [options]
 package_dir =
 packages = find:
-python_requires = >=3.9
+python_requires = >=3.10
 install_requires =
-    geoengine-openapi-client == 0.0.22
-    geopandas >=0.9,<0.15
-    matplotlib >=3.5,<3.8
-    numpy >=1.21,<2.1
-    owslib >=0.27,<0.32
+    geoengine-openapi-client == 0.0.23
+    geopandas >=1.0,<2.0
+    matplotlib >=3.5,<3.11
+    numpy >=1.21,<2.3
+    owslib >=0.27,<0.34
     pillow >=10.0,<12
-    pyarrow >=17.0,<18
-    python-dotenv >=0.19,<1.1
+    pyarrow >=17.0,<21
+    python-dotenv >=0.19,<1.2
     rasterio >=1.3,<2
     requests >= 2.26,<3
-    rioxarray >=0.9.1, <0.19
+    rioxarray >=0.9.1, <0.20
     StrEnum >=0.4.6,<0.5 # TODO: use from stdlib when `python_requires = >=3.11`
-    vega >= 3.5,<4
-    websockets >= 10.0,<11
-    xarray >=0.19,<2024.12
-    urllib3 >= 2.1, < 2.4
-    pydantic >= 2.10.6, < 2.11
-    skl2onnx >=1.17,<2
+    vega >= 3.5,<4.2
+    websockets >= 14.0,<16
+    xarray >=0.19,<2025.5
+    urllib3 >= 2.1, < 2.5
+    pydantic >= 2.10.6, < 2.12
+    skl2onnx >=1.17,<2 ; python_version<"3.13"
+    skl2onnx @ git+https://github.com/onnx/sklearn-onnx@1035fdf ; python_version>="3.13" # TODO: remove when skl2onnx 1.19 is released
+    onnx == 1.17 ; python_version<"3.13" # TODO: remove when skl2onnx 1.19 is released
+    onnx == 1.18 ; python_version>="3.13" # TODO: remove when skl2onnx 1.19 is released
+
+[[onnx]]
 
 [options.extras_require]
 dev =
@@ -44,22 +49,21 @@ dev =
     pdoc3 >=0.10,<0.11
     pycodestyle >=2.8,<3 # formatter
     pylint >=3.3,<4 # code linter
-    setuptools >=42,<76
-    twine >=3.4,<5 # PyPI
+    setuptools >=42,<81
+    twine >=3.4,<6 # PyPI
     types-requests >=2.26,<3 # mypy type hints
-    types-setuptools >= 71.1 # mypy type hints
+    types-setuptools >=71.1,<81 # mypy type hints
     wheel >=0.37,<0.46
 test =
     psycopg >=3.2,<4
-    pytest >=6.3,<8
+    pytest >=6.3,<9
     pytest-cov >=6.0,<7
     requests_mock >=1.9,<2
-    scikit-learn >=1.5,<1.6
-    testcontainers[postgres] >=4.9,<5
+    scikit-learn >=1.5,<1.7
 examples =
     cartopy >=0.22,<0.25 # for WMS example
     ipympl >=0.9.4,<0.10 # for ML example
-    ipyvuetify >=1.10,<1.11 # for ML app
+    ipyvuetify >=1.10,<1.12 # for ML app
     ipywidgets >=8.1.5,<9  # for ML example
     nbconvert >=7,<8 # convert notebooks to Python
     scipy >=1.7,<2 # for WMS example

tests/test_colorizer.py

@@ -124,30 +124,13 @@ def test_colormap_not_available(self):
 
         result = str(ctx.exception)
 
-        expected_end = "supported values are 'Accent', 'Accent_r', "\
-            "'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', "\
-            "'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', "\
-            "'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', "\
-            "'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', "\
-            "'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', "\
-            "'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', "\
-            "'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', "\
-            "'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', "\
-            "'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', "\
-            "'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', "\
-            "'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r', 'flag', "\
-            "'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', "\
-            "'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', "\
-            "'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', "\
-            "'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno', 'inferno_r', "\
-            "'jet', 'jet_r', 'magma', " "'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', "\
-            "'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', "\
-            "'rainbow_r', 'seismic', 'seismic_r', 'spring', 'spring_r', 'summer', 'summer_r', 'tab10', "\
-            "'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', "\
-            "'terrain_r', 'turbo', " "'turbo_r', 'twilight', 'twilight_r', 'twilight_shifted', "\
-            "'twilight_shifted_r', 'viridis', 'viridis_r', 'winter', 'winter_r'"
-
-        assert result.endswith(expected_end)
+        expected_start = "'some_map' is not a valid value for"
+        expected_contains = "; supported values are 'Accent',"
+
+        assert result.startswith(expected_start), \
+            f"The error should start with `{expected_start}`, but starts with `{result[:len(expected_start)]}`"
+        assert expected_contains in result, \
+            f"The error should contain `{expected_contains}`, but does not. Full error: {result}"
 
     def test_defaults(self):
         """Tests the manipulation of the default values."""

tests/test_workflow_raster_stream.py

@@ -10,6 +10,7 @@
 import rioxarray
 import pyarrow as pa
 import xarray as xr
+import websockets.protocol
 from geoengine.types import RasterBandDescriptor
 import geoengine as ge
 from . import UrllibMocker
@@ -34,9 +35,9 @@ async def __aexit__(self, *args):
         pass
 
     @property
-    def open(self) -> bool:
+    def state(self) -> websockets.protocol.State:
         '''Mock open impl'''
-        return len(self.__tiles) > 0
+        return websockets.protocol.State.OPEN if len(self.__tiles) > 0 else websockets.protocol.State.CLOSED
 
     async def recv(self):
         return self.__tiles.pop()
@@ -130,7 +131,7 @@ def test_streaming_workflow(self):
             resolution=ge.SpatialResolution(45.0, 22.5),
         )
 
-        with unittest.mock.patch("websockets.client.connect", return_value=MockWebsocket()):
+        with unittest.mock.patch("websockets.asyncio.client.connect", return_value=MockWebsocket()):
             async def inner1():
                 tiles = []
 
@@ -141,7 +142,7 @@ async def inner1():
 
             asyncio.run(inner1())
 
-        with unittest.mock.patch("websockets.client.connect", return_value=MockWebsocket()):
+        with unittest.mock.patch("websockets.asyncio.client.connect", return_value=MockWebsocket()):
             async def inner2():
                 array = await workflow.raster_stream_into_xarray(query_rect)
                 assert array.shape == (2, 1, 8, 8)  # time, band, y, x

tests/test_workflow_vector_stream.py

@@ -10,6 +10,7 @@
 import geopandas as gpd
 import numpy as np
 import pandas as pd
+import websockets.protocol
 import geoengine as ge
 from . import UrllibMocker
 
@@ -51,9 +52,9 @@ async def __aexit__(self, *args):
         pass
 
     @property
-    def open(self) -> bool:
+    def state(self) -> websockets.protocol.State:
         '''Mock open impl'''
-        return len(self.__chunks) > 0
+        return websockets.protocol.State.OPEN if len(self.__chunks) > 0 else websockets.protocol.State.CLOSED
 
     async def recv(self):
         return self.__chunks.pop(0)
@@ -152,7 +153,7 @@ def test_streaming_workflow(self):
             resolution=ge.SpatialResolution(0.5, 0.5),
         )
 
-        with unittest.mock.patch("websockets.client.connect", return_value=MockWebsocket()):
+        with unittest.mock.patch("websockets.asyncio.client.connect", return_value=MockWebsocket()):
             async def inner1():
                 chunks = []
 
@@ -163,7 +164,7 @@ async def inner1():
 
             asyncio.run(inner1())
 
-        with unittest.mock.patch("websockets.client.connect", return_value=MockWebsocket()):
+        with unittest.mock.patch("websockets.asyncio.client.connect", return_value=MockWebsocket()):
             async def inner2():
                 data_frame = await workflow.vector_stream_into_geopandas(query_rect)