diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..4c10590 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,21 @@ +name: CI + +on: + push: + branches: [main] + pull_request: + +jobs: + test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: astral-sh/setup-uv@v5 + - name: Install dependencies + run: uv sync --extra streamlit + - name: Check formatting + run: uv run black --check prettymapp streamlit-prettymapp + - name: Run tests (offline) + run: uv run pytest prettymapp/tests --pylint --pylint-rcfile=pylintrc --mypy --mypy-ignore-missing-imports + - name: Build package + run: uv build diff --git a/Dockerfile b/Dockerfile index 3c21b93..348cf0f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -4,11 +4,15 @@ RUN apt-get update && apt-get install -y \ curl \ && rm -rf /var/lib/apt/lists/* -COPY streamlit-prettymapp /app/streamlit-prettymapp/ - WORKDIR /app -RUN pip3 install -r streamlit-prettymapp/requirements.txt +# Install the prettymapp package from the local source (not PyPI) so the app +# and the library can never drift apart, plus the webapp-only dependencies. +COPY pyproject.toml README.md ./ +COPY prettymapp ./prettymapp/ +COPY streamlit-prettymapp ./streamlit-prettymapp/ + +RUN pip3 install --no-cache-dir . streamlit==1.52.2 streamlit-image-select==0.6.0 pyogrio EXPOSE 8501 diff --git a/Makefile b/Makefile index 0625966..9fec8c9 100644 --- a/Makefile +++ b/Makefile @@ -1,29 +1,24 @@ test: - -rm -r .pytest_cache - black . - python -m pytest --pylint --pylint-rcfile=../../pylintrc --mypy --mypy-ignore-missing-imports --durations=3 + uv run black . + uv run pytest prettymapp/tests --pylint --pylint-rcfile=pylintrc --mypy --mypy-ignore-missing-imports --durations=3 test[live]: - -rm -r .pytest_cache - black . - python -m pytest --pylint --pylint-rcfile=../../pylintrc --mypy --mypy-ignore-missing-imports --runlive --durations=5 + uv run black . + uv run pytest prettymapp/tests --pylint --pylint-rcfile=pylintrc --mypy --mypy-ignore-missing-imports --runlive --durations=5 setup: - pip install -r requirements.txt - pip install -r streamlit-prettymapp/requirements.txt + uv sync --extra streamlit -setup-dev: - pip install -r requirements.txt - pip install -r requirements-dev.txt - pip install -e . - pip install streamlit +app: + uv run streamlit run streamlit-prettymapp/app.py package: - python setup.py sdist bdist_wheel - twine check dist/* + rm -rf dist + uv build + uvx twine check dist/* upload: - twine upload --skip-existing dist/* + uvx twine upload --skip-existing dist/* clean: find . -name "__pycache__" -exec rm -rf {} + diff --git a/README.md b/README.md index 89360b1..2c31d6a 100644 --- a/README.md +++ b/README.md @@ -115,9 +115,11 @@ default settings or create your own dictionary! See [settings.py](prettymapp/set from prettymapp.settings import LANDCOVER_CLASSES custom_lc_classes = LANDCOVER_CLASSES.copy() -custom_lc_classes["urban"]["building"] = False # drops all building subclasses -custom_lc_classes["grassland"]["leisure"] = True # Include all leisure subclasses -custom_lc_classes["grassland"]["natural"] = ["island"] # Selects only specific natural subclasses +custom_lc_classes["urban"] = {"building": False} # drops all building subclasses +custom_lc_classes["grassland"] = { + "leisure": True, # Include all leisure subclasses + "natural": ["island"], # Selects only specific natural subclasses +} df = get_osm_geometries(aoi=aoi, landcover_classes=custom_lc_classes) ``` \ No newline at end of file diff --git a/conftest.py b/conftest.py index 4af9cc0..846b157 100644 --- a/conftest.py +++ b/conftest.py @@ -1,5 +1,9 @@ +import matplotlib import pytest +# Non-interactive backend so plotting tests run headless (e.g. in CI) +matplotlib.use("Agg") + def pytest_addoption(parser): parser.addoption( diff --git a/prettymapp/example_notebook.ipynb b/prettymapp/example_notebook.ipynb index 014fdd6..473e1cb 100644 --- a/prettymapp/example_notebook.ipynb +++ b/prettymapp/example_notebook.ipynb @@ -39,7 +39,7 @@ " df=df,\n", " aoi_bounds=aoi.bounds,\n", " draw_settings=STYLES[\"Peach\"],\n", - ").plot_all()\n" + ").plot_all()" ] }, { @@ -101,9 +101,11 @@ "# 1. Overwrite specific classes\n", "from prettymapp.settings import LANDCOVER_CLASSES\n", "custom_lc_classes = LANDCOVER_CLASSES.copy()\n", - "custom_lc_classes[\"urban\"][\"building\"] = False # drops all building subclasses\n", - "custom_lc_classes[\"grassland\"][\"leisure\"] = True # Include all leisure subclasses\n", - "custom_lc_classes[\"grassland\"][\"natural\"] = [\"island\"] # Selects only specific natural subclasses\n", + "custom_lc_classes[\"urban\"] = {\"building\": False} # drops all building subclasses\n", + "custom_lc_classes[\"grassland\"] = {\n", + " \"leisure\": True, # Include all leisure subclasses\n", + " \"natural\": [\"island\"], # Selects only specific natural subclasses\n", + "}\n", "\n", "# 2. Or completely custom\n", "# custom_lc_classes ={\n", diff --git a/prettymapp/geo.py b/prettymapp/geo.py index 4e507ca..261b037 100644 --- a/prettymapp/geo.py +++ b/prettymapp/geo.py @@ -1,6 +1,5 @@ -from osmnx.geocoder import geocode +import osmnx as ox from geopandas import GeoDataFrame -import pandas as pd from pandas import DataFrame from shapely.geometry import Polygon, Point, box @@ -44,7 +43,7 @@ def get_aoi( if not address.strip(): raise GeoCodingError("No address provided, please enter a location.") try: - lat, lon = geocode(address) + lat, lon = ox.geocode(address) except ValueError as e: raise GeoCodingError(f"Could not geocode address '{address}'") from e except Exception as e: # pylint: disable=broad-except @@ -76,23 +75,10 @@ def get_aoi( def explode_multigeometries(df: GeoDataFrame) -> GeoDataFrame: """ - Explode all multi geometries in a geodataframe into individual polygon geometries. - Adds exploded polygons as rows at the end of the geodataframe and resets its index. + Explode all multi-part geometries in a geodataframe into individual + single-part geometries, one row each, and reset the index. + Args: df: Input GeoDataFrame """ - mask = df.geom_type.isin(["MultiPolygon", "MultiLineString", "MultiPoint"]) - outdf = df[~mask] - df_multi = df[mask] - for _, row in df_multi.iterrows(): - df_temp = GeoDataFrame( - pd.DataFrame.from_records([row.to_dict()] * len(row.geometry.geoms)), - crs="EPSG:4326", - ) - df_temp.geometry = list(row.geometry.geoms) - outdf = GeoDataFrame( - pd.concat([outdf, df_temp], ignore_index=True), crs="EPSG:4326" - ) - - outdf = outdf.reset_index(drop=True) - return outdf + return df.explode(index_parts=False).reset_index(drop=True) diff --git a/prettymapp/osm.py b/prettymapp/osm.py index c1155e0..cd5b7db 100644 --- a/prettymapp/osm.py +++ b/prettymapp/osm.py @@ -1,22 +1,29 @@ from pathlib import Path -from osmnx.features import features_from_polygon, features_from_xml -from osmnx import settings +import osmnx as ox from geopandas import clip, GeoDataFrame from shapely.geometry import Polygon from prettymapp.geo import explode_multigeometries from prettymapp.settings import LANDCOVER_CLASSES -settings.use_cache = True -settings.log_console = False +try: + from osmnx._errors import InsufficientResponseError +except ImportError: # pragma: no cover - osmnx internals moved, fall back gracefully + + class InsufficientResponseError(Exception): # type: ignore[no-redef] + """Placeholder that never matches if osmnx renamed its exception.""" + + +ox.settings.use_cache = True +ox.settings.log_console = False class OsmDataError(Exception): """Raised when no usable OSM features are available for the query.""" -def get_osm_tags(landcover_classes: dict = LANDCOVER_CLASSES): +def get_osm_tags(landcover_classes: dict | None = None) -> dict: """ Get relevant OSM tags for use with prettymapp @@ -28,6 +35,8 @@ def get_osm_tags(landcover_classes: dict = LANDCOVER_CLASSES): "water": {"natural": ["water", "bay"]}, } """ + if landcover_classes is None: + landcover_classes = LANDCOVER_CLASSES tags: dict = {} for sub_classes_dict in landcover_classes.values(): for sub_class_name, subsub_classes in sub_classes_dict.items(): @@ -42,7 +51,7 @@ def get_osm_tags(landcover_classes: dict = LANDCOVER_CLASSES): def cleanup_osm_df( df: GeoDataFrame, aoi: Polygon | None = None, - landcover_classes: dict = LANDCOVER_CLASSES, + landcover_classes: dict | None = None, ) -> GeoDataFrame: """ Cleanup of queried osm geometries to relevant level for use with prettymapp @@ -55,6 +64,8 @@ def cleanup_osm_df( Raises: OsmDataError: If no usable OSM features remain after cleanup. """ + if landcover_classes is None: + landcover_classes = LANDCOVER_CLASSES if df.empty: raise OsmDataError("No OSM features found for this area.") # osmnx returns a (element_type, osmid) MultiIndex; drop the element_type level. @@ -79,7 +90,8 @@ def cleanup_osm_df( mask_from_different_subtag = ~df[tag].isin(subtags) & df[tag].notna() mask_lc_class[mask_from_different_subtag] = False df.loc[mask_lc_class, "landcover_class"] = lc_class - # Drop not assigned elements (part of multiple classes) + # Drop elements not assigned to any class. Elements matching multiple + # classes keep the last matching class (landcover_classes order). df = df[~df["landcover_class"].isnull()] df = df.drop( df.columns.difference(["geometry", "landcover_class", "highway"]), axis=1 @@ -95,7 +107,7 @@ def cleanup_osm_df( def get_osm_geometries( - aoi: Polygon, landcover_classes: dict = LANDCOVER_CLASSES + aoi: Polygon, landcover_classes: dict | None = None ) -> GeoDataFrame: """ Query OSM features within a polygon geometry. @@ -103,9 +115,15 @@ def get_osm_geometries( Args: aoi: Polygon geometry query boundary. landcover_classes: Landcover selection settings, defaults to prettymapp.settings.LANDCOVER_CLASSES + + Raises: + OsmDataError: If no usable OSM features are found for the query. """ tags = get_osm_tags(landcover_classes=landcover_classes) - df = features_from_polygon(polygon=aoi, tags=tags) + try: + df = ox.features_from_polygon(polygon=aoi, tags=tags) + except InsufficientResponseError as e: + raise OsmDataError("No OSM features found for this area.") from e df = cleanup_osm_df(df, aoi, landcover_classes=landcover_classes) return df @@ -113,7 +131,7 @@ def get_osm_geometries( def get_osm_geometries_from_xml( filepath: str | Path, aoi: Polygon | None = None, - landcover_classes: dict = LANDCOVER_CLASSES, + landcover_classes: dict | None = None, ) -> GeoDataFrame: """ Query OSM features in an OSM-formatted XML file. @@ -122,8 +140,14 @@ def get_osm_geometries_from_xml( filepath: path to file containing OSM XML data aoi: Optional geographic boundary to filter elements landcover_classes: Landcover selection settings, defaults to prettymapp.settings.LANDCOVER_CLASSES + + Raises: + OsmDataError: If no usable OSM features are found in the file. """ tags = get_osm_tags(landcover_classes=landcover_classes) - df = features_from_xml(filepath, polygon=aoi, tags=tags) + try: + df = ox.features_from_xml(filepath, polygon=aoi, tags=tags) + except InsufficientResponseError as e: + raise OsmDataError("No OSM features found in the provided file.") from e df = cleanup_osm_df(df, aoi, landcover_classes=landcover_classes) return df diff --git a/prettymapp/plotting.py b/prettymapp/plotting.py index 39979d1..f62d821 100644 --- a/prettymapp/plotting.py +++ b/prettymapp/plotting.py @@ -1,18 +1,55 @@ from pathlib import Path import colorsys from dataclasses import dataclass, field -from geopandas.plotting import _plot_polygon_collection, _plot_linestring_collection from geopandas import GeoDataFrame import numpy as np +from matplotlib.collections import LineCollection, PatchCollection from matplotlib.colors import ListedColormap, cnames, to_rgb +from matplotlib.path import Path as MplPath from matplotlib.pyplot import subplots, Rectangle import matplotlib.font_manager as fm -from matplotlib.patches import Ellipse +from matplotlib.patches import Ellipse, PathPatch import matplotlib.patheffects as PathEffects from prettymapp.settings import STREETS_WIDTH, STYLES +def plot_polygon_collection( + ax, geoms, values=None, cmap=None, **kwargs +) -> PatchCollection: + """ + Plot shapely Polygons as a single matplotlib PatchCollection (honors holes). + + Faster than geodataframe.plot() as it does not use plt.draw(), the figure is + rendered only once e.g. in st.pyplot. + """ + patches = [ + PathPatch( + MplPath.make_compound_path( + MplPath(np.asarray(poly.exterior.coords)[:, :2]), + *[MplPath(np.asarray(ring.coords)[:, :2]) for ring in poly.interiors], + ) + ) + for poly in geoms + ] + collection = PatchCollection(patches, cmap=cmap, **kwargs) + if values is not None: + collection.set_array(np.asarray(values)) + ax.add_collection(collection, autolim=True) + return collection + + +def plot_linestring_collection(ax, geoms, **kwargs) -> LineCollection: + """ + Plot shapely LineStrings as a single matplotlib LineCollection. + """ + collection = LineCollection( + [np.asarray(line.coords)[:, :2] for line in geoms], **kwargs + ) + ax.add_collection(collection, autolim=True) + return collection + + @dataclass class Plot: """ @@ -39,9 +76,12 @@ class Plot: credits: Boolean whether to display the OSM&package credits, defaults to True # Map background settings - bg_shape: the map background shape, "circle" or "rectangle", defaults to "circle" + bg_shape: the map background shape, "circle" or "rectangle", defaults to "rectangle" bg_buffer: buffer around the map, defaults to 2 bg_color: color of the map background, defaults to "#F2F4CB" + + # Figure settings + dpi: figure resolution in dots per inch, defaults to 300 """ df: GeoDataFrame @@ -66,6 +106,8 @@ class Plot: bg_shape: str = "rectangle" bg_buffer: int = 2 bg_color: str = "#F2F4CB" + # Figure settings + dpi: int = 300 def __post_init__(self): ( @@ -84,7 +126,7 @@ def __post_init__(self): self.bg_buffer_y = (self.bg_buffer / 100) * self.ydif self.fig, self.ax = subplots( - 1, 1, figsize=(12, 12), constrained_layout=True, dpi=1200 + 1, 1, figsize=(12, 12), constrained_layout=True, dpi=self.dpi ) self.ax.set_aspect(1 / np.cos(self.ymid * np.pi / 180)) @@ -110,6 +152,8 @@ def set_geometries(self): Avoids using geodataframe.plot() as this uses plt.draw(), but for the app, the figure needs to be rendered only in st.pyplot. Shaves off 1 sec. """ + # Seeded rng so identical inputs render identical (reproducible) maps. + rng = np.random.default_rng(42) for lc_class in self.df["landcover_class"].unique(): df_class = self.df[self.df["landcover_class"] == lc_class] try: @@ -124,11 +168,10 @@ def set_geometries(self): df_class["highway"].map(STREETS_WIDTH).fillna(1) ) draw_settings_class["ec"] = draw_settings_class.pop("fc") - linecollection = _plot_linestring_collection( + linecollection = plot_linestring_collection( ax=self.ax, geoms=df_class.geometry, **draw_settings_class ) linecollection.set_linewidth(linewidth_values) - self.ax.add_collection(linecollection, autolim=True) continue else: df_class = df_class[df_class.geom_type == "Polygon"] @@ -136,7 +179,7 @@ def set_geometries(self): if "hatch_c" in draw_settings_class: # Matplotlib hatch color is set via ec. hatch_c is used as the edge color here by plotting the outlines # again above. - _plot_polygon_collection( + plot_polygon_collection( ax=self.ax, geoms=df_class.geometry, fc="None", @@ -147,18 +190,17 @@ def set_geometries(self): draw_settings_class.pop("hatch_c") if "cmap" in draw_settings_class: - cmap = ListedColormap(draw_settings_class["cmap"]) - draw_settings_class.pop("cmap") - cmap_values = np.random.randint(0, 3, df_class.shape[0]) - _plot_polygon_collection( + cmap_colors = draw_settings_class.pop("cmap") + cmap_values = rng.integers(0, len(cmap_colors), df_class.shape[0]) + plot_polygon_collection( ax=self.ax, geoms=df_class.geometry, values=cmap_values, - cmap=cmap, + cmap=ListedColormap(cmap_colors), **draw_settings_class, ) else: - _plot_polygon_collection( + plot_polygon_collection( ax=self.ax, geoms=df_class.geometry, **draw_settings_class ) diff --git a/prettymapp/tests/test_geo.py b/prettymapp/tests/test_geo.py index 375152e..8915e9b 100644 --- a/prettymapp/tests/test_geo.py +++ b/prettymapp/tests/test_geo.py @@ -1,7 +1,6 @@ from mock import patch import pytest from shapely.geometry import Polygon, MultiPolygon -import osmnx as ox import geopandas as gpd import pandas as pd @@ -22,59 +21,71 @@ def test_validate_coordinates(): validate_coordinates(lat=92.3, lon=-237.2) -@patch.object(ox, "geocode") +# Patch the name used inside prettymapp.geo (module attribute lookup at call +# time), NOT osmnx directly - `from osmnx import geocode`-style bindings would +# bypass a patch on the osmnx module and silently hit the live geocoder. +@patch("prettymapp.geo.ox.geocode") def test_get_aoi_from_user_input_address(ox_geocode): ox_geocode.return_value = 52.52, 13.4 poly = get_aoi("Unter den Linden 37, 10117 Berlin") + ox_geocode.assert_called_once() assert isinstance(poly, Polygon) - assert poly.bounds == ( - 13.373621926483281, - 52.50770588495259, - 13.40308384727806, - 52.525679099870146, + assert poly.bounds == pytest.approx( + ( + 13.38526793559592, + 52.511013338753465, + 13.414732236942758, + 52.52898664609029, + ) ) - assert poly.area == 0.000415427539857519 + assert poly.area == pytest.approx(0.00041546027853784154) -@patch.object(ox, "geocode") +@patch("prettymapp.geo.ox.geocode") def test_get_aoi_from_user_input_coordinates(ox_geocode): - ox_geocode.return_value = 52.52, 13.4 - poly = get_aoi(coordinates=(52.52, 13.4)) + ox_geocode.assert_not_called() assert isinstance(poly, Polygon) - assert poly.bounds == ( - 13.38526793559592, - 52.511013338753465, - 13.414732236942758, - 52.52898664609029, + assert poly.bounds == pytest.approx( + ( + 13.38526793559592, + 52.511013338753465, + 13.414732236942758, + 52.52898664609029, + ) ) -@patch.object(ox, "geocode") +@patch("prettymapp.geo.ox.geocode") def test_get_aoi_from_user_input_rectangle(ox_geocode): ox_geocode.return_value = 52.52, 13.4 poly = get_aoi("Unter den Linden 37, 10117 Berlin", rectangular=True) + ox_geocode.assert_called_once() assert isinstance(poly, Polygon) - assert poly.bounds == ( - 13.373621926483281, - 52.50770588495259, - 13.40308384727806, - 52.525679099870146, + assert poly.bounds == pytest.approx( + ( + 13.38526793559592, + 52.511013338753465, + 13.414732236942758, + 52.52898664609029, + ) ) - assert poly.area == 0.0005295254343284959 + assert poly.area == pytest.approx(0.0005295709435715184) @pytest.mark.live def test_get_aoi_from_user_input_address_live(): poly = get_aoi("Unter den Linden 37, 10117 Berlin") assert isinstance(poly, Polygon) - assert poly.bounds == ( - 13.373621926483281, - 52.507705884952586, - 13.403083847278062, - 52.52567909987013, + assert poly.bounds == pytest.approx( + ( + 13.373621926483281, + 52.507705884952586, + 13.403083847278062, + 52.52567909987013, + ) ) @@ -82,11 +93,13 @@ def test_get_aoi_from_user_input_address_live(): def test_get_aoi_from_user_input_coordinates_live(): poly = get_aoi(coordinates=(52.52, 13.4)) assert isinstance(poly, Polygon) - assert poly.bounds == ( - 13.38526793559592, - 52.51101333875345, - 13.414732236942758, - 52.52898664609028, + assert poly.bounds == pytest.approx( + ( + 13.38526793559592, + 52.51101333875345, + 13.414732236942758, + 52.52898664609028, + ) ) @@ -101,7 +114,7 @@ def test_get_aoi_empty_address_raises(): get_aoi(" ") -@patch("prettymapp.geo.geocode") +@patch("prettymapp.geo.ox.geocode") def test_get_aoi_geocode_network_error_raises(mock_geocode): mock_geocode.side_effect = ConnectionError("boom") with pytest.raises(GeoCodingError): diff --git a/prettymapp/tests/test_main.py b/prettymapp/tests/test_main.py index 6fffaaf..3a898c9 100644 --- a/prettymapp/tests/test_main.py +++ b/prettymapp/tests/test_main.py @@ -1,7 +1,6 @@ import pytest from geopandas import GeoDataFrame from shapely.geometry import box -from pyproj import CRS from prettymapp.osm import get_osm_geometries from prettymapp.plotting import Plot @@ -10,7 +9,6 @@ AOI = box( 13.373621926483281, 52.507705884952586, 13.374621926483281, 52.508705884952586 ) -AOI_UTM_CRS = CRS.from_user_input(32632) @pytest.mark.live @@ -25,18 +23,3 @@ def test_osm_live(): df = get_osm_geometries(AOI) fig = Plot(df=df, aoi_bounds=AOI.bounds, draw_settings=STYLES["Peach"]).plot_all() assert fig is not None - # assert isinstance(fig, int) - # import matplotlib.pyplot as plt - # plt.show() - - -# def test_osm_liveaa(): -# from prettymapp.geo import get_aoi -# -# aoi, aoi_utm_crs = get_aoi("Miami", radius=1100) -# df = get_osm_geometries(aoi) -# fig = Plot(df=df, aoi_bounds=AOI.bounds, draw_settings=STYLES["Peach"]).plot_all() -# assert fig is not None -# # assert isinstance(fig, int) -# # import matplotlib.pyplot as plt -# # plt.show() diff --git a/prettymapp/tests/test_osm.py b/prettymapp/tests/test_osm.py index af5a8d8..82e9c76 100644 --- a/prettymapp/tests/test_osm.py +++ b/prettymapp/tests/test_osm.py @@ -1,10 +1,16 @@ +from pathlib import Path + +from mock import patch import pytest from geopandas import GeoDataFrame +from shapely.geometry import box from prettymapp.osm import ( get_osm_tags, + get_osm_geometries, get_osm_geometries_from_xml, cleanup_osm_df, + InsufficientResponseError, OsmDataError, ) @@ -46,7 +52,7 @@ def test_get_osm_tags(): def test_get_osm_geometries_from_xml(): - filepath = "./mock_data/osm_export_xml.osm" + filepath = Path(__file__).parent / "mock_data" / "osm_export_xml.osm" df = get_osm_geometries_from_xml(filepath) assert df.shape == (18, 3) @@ -54,3 +60,10 @@ def test_get_osm_geometries_from_xml(): def test_cleanup_osm_df_empty_input_raises(): with pytest.raises(OsmDataError): cleanup_osm_df(GeoDataFrame()) + + +@patch("prettymapp.osm.ox.features_from_polygon") +def test_get_osm_geometries_no_features_raises(mock_features): + mock_features.side_effect = InsufficientResponseError("no matching features") + with pytest.raises(OsmDataError): + get_osm_geometries(box(0, 0, 0.001, 0.001)) diff --git a/prettymapp/tests/test_plotting.py b/prettymapp/tests/test_plotting.py index 9b7fda1..2970479 100644 --- a/prettymapp/tests/test_plotting.py +++ b/prettymapp/tests/test_plotting.py @@ -1,4 +1,13 @@ -from prettymapp.plotting import adjust_lightness +from pathlib import Path + +import numpy as np +from matplotlib.pyplot import close + +from prettymapp.osm import get_osm_geometries_from_xml +from prettymapp.plotting import Plot, adjust_lightness +from prettymapp.settings import STYLES + +MOCK_XML = Path(__file__).parent / "mock_data" / "osm_export_xml.osm" def test_adjust_lightness(): @@ -6,3 +15,42 @@ def test_adjust_lightness(): assert isinstance(color, tuple) assert len(color) == 3 assert color == (0.6705882352941177, 0.4510504201680673, 0.0) + + +def test_plot_all_offline(): + df = get_osm_geometries_from_xml(MOCK_XML) + fig = Plot( + df=df, + aoi_bounds=list(df.total_bounds), + draw_settings=STYLES["Peach"], + name_on=True, + name="mock", + contour_width=2, + credits=True, + ).plot_all() + + assert fig is not None + ax = fig.axes[0] + # Geometries were drawn as collections, text (title + credits) was added + assert len(ax.collections) > 0 + assert len(ax.texts) == 2 + close(fig) + + +def test_plot_all_is_deterministic(): + """Identical input renders identical maps (seeded cmap values).""" + df = get_osm_geometries_from_xml(MOCK_XML) + + def cmap_arrays(fig): + return [ + c.get_array() for c in fig.axes[0].collections if c.get_array() is not None + ] + + fig1 = Plot(df=df, aoi_bounds=list(df.total_bounds)).plot_all() + fig2 = Plot(df=df, aoi_bounds=list(df.total_bounds)).plot_all() + arrays1, arrays2 = cmap_arrays(fig1), cmap_arrays(fig2) + assert arrays1 + for a1, a2 in zip(arrays1, arrays2): + np.testing.assert_array_equal(a1, a2) + close(fig1) + close(fig2) diff --git a/pyproject.toml b/pyproject.toml index b781339..6844136 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,7 +14,15 @@ classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", ] -dependencies = ["matplotlib>=3.10.8", "osmnx>=2.0.7", "pandas>=2.3.3"] +# osmnx <3: major osmnx releases reorganize the API surface (1.x -> 2.x did), +# geopandas & shapely are used directly, so declared directly. +dependencies = [ + "matplotlib>=3.10.8", + "osmnx>=2.0.7,<3", + "pandas>=2.3.3", + "geopandas>=1.0", + "shapely>=2.0", +] [project.optional-dependencies] streamlit = ["streamlit", "streamlit-image-select"] @@ -42,11 +50,12 @@ build-backend = "setuptools.build_meta" [tool.setuptools] package-dir = { "" = "." } include-package-data = false -license-files = ["LICENSES/*.txt"] +license-files = ["LICENSE"] [tool.setuptools.packages.find] where = ["."] include = ["prettymapp*"] +exclude = ["prettymapp.tests*"] [tool.setuptools.package-data] prettymapp = ["fonts/PermanentMarker-Regular.ttf"] diff --git a/streamlit-prettymapp/app.py b/streamlit-prettymapp/app.py index 96d68f6..c1c3e9c 100644 --- a/streamlit-prettymapp/app.py +++ b/streamlit-prettymapp/app.py @@ -16,6 +16,7 @@ from prettymapp.osm import OsmDataError from prettymapp.settings import STYLES + st.set_page_config( page_title="prettymapp", page_icon="🖼️", initial_sidebar_state="collapsed" ) @@ -263,6 +264,7 @@ def _make_download_data(): data=lambda: df.to_json().encode("utf-8"), file_name=f"{geojson_fname_base}.geojson", mime="application/geo+json", + on_click="ignore", ) config = {"address": address, **config} diff --git a/streamlit-prettymapp/examples.json b/streamlit-prettymapp/examples.json index ec6da88..38847b6 100644 --- a/streamlit-prettymapp/examples.json +++ b/streamlit-prettymapp/examples.json @@ -7,7 +7,6 @@ "shape": "circle", "contour_width": 1, "contour_color": "#2F3537", - "image": "macao.png", "name_on": true, "font_size": 25, "font_color": "#2F3737", @@ -26,7 +25,6 @@ "shape": "rectangle", "contour_width": 0, "contour_color": "#2F3538", - "image": "barcelona.png", "name_on": true, "font_size": 30, "font_color": "#2F3738", @@ -45,7 +43,6 @@ "shape": "circle", "contour_width": 15, "contour_color": "#FFFFFF", - "image": "edinburgh.png", "name_on": true, "font_size": 25, "font_color": "#FFFFFF", @@ -64,7 +61,6 @@ "shape": "rectangle", "contour_width": 0, "contour_color": "#2F3737", - "image": 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