Merge pull request 'hotfix/dependencies-and-plz-data-schema-change (closes #2)' (#3) from hotfix/dependencies-and-plz-data-schema-change into main

Reviewed-on: Gro/member-map#3

Dockerfile

@@ -1,13 +1,10 @@
 FROM ubuntu:22.04
 
 ARG PLZ_DATA=Postleitzahlengebiete_-_OSM.geojson
-ARG PLZ_HIGHLIGHT=contacts-zip-anonym.json
+ARG PLZ_HIGHLIGHT=wtf_member_plz_prefixes.json
-ARG IMG_BG_COLOR=#FFFFFF
-ARG MAP_BG_COLOR=#4279BC
-ARG MAP_ACCENT_COLOR=#DA532C
 
 # Set up environment with dependencies
-RUN apt-get update && apt-get install libblas-dev python3-pip libgeos-dev wget optipng imagemagick -y
+RUN apt-get update && apt-get install libblas-dev python3-pip libgeos-dev libgdal-dev wget optipng imagemagick -y
 COPY requirements.txt ./
 RUN pip install -r requirements.txt
 
@@ -17,7 +14,7 @@ COPY $PLZ_HIGHLIGHT ./
 
 # Render map
 COPY main.py ./
-RUN python3 main.py --plz-data $PLZ_DATA --plz-highlight $PLZ_HIGHLIGHT --img-bg-color $IMG_BG_COLOR --map-bg-color $MAP_BG_COLOR --map-accent-color $MAP_ACCENT_COLOR --out /tmp/map.png
+RUN python3 main.py --plz-data $PLZ_DATA --plz-highlight $PLZ_HIGHLIGHT --out /tmp/map.png
 
 RUN convert -fuzz 5 -trim /tmp/map.png /tmp/map.png
 RUN optipng -o7 /tmp/map.png

main.py

@@ -28,27 +28,23 @@ def main(
         data.loc[data["plz"].str.startswith(plz_prefix), "highlighted"] = True
 
     # TODO: This should instead be a proper geo spatial projection
-    coordinate_transform = np.array([[1.0, 1.6]]).T
+    coordinate_transform = np.array([[1.0, 1.0]]).T
 
     ax = plt.axes(aspect="equal")
-    for bundesland in data["bundesland"].unique():
+    union = data.unary_union
-        bundesland_df = data[data["bundesland"] == bundesland]
-        union = bundesland_df.unary_union
     for geom in getattr(union, "geoms", [union]):
         ax.fill(
-                *(geom.exterior.xy * coordinate_transform),
+            *geom.exterior.xy,
             fc=map_background_color,
             ec=image_background_color,
             linewidth=0.1,
         )
 
-        if not any(bundesland_df["highlighted"]):
+    if any(data["highlighted"]):
-            continue
+        union = data[data["highlighted"]].unary_union
-
-        union = bundesland_df[bundesland_df["highlighted"]].unary_union
         for geom in getattr(union, "geoms", [union]):
             ax.fill(
-                *(geom.exterior.xy * coordinate_transform),
+                *geom.exterior.xy,
                 fc=map_accent_color,
                 ec=None,
             )

requirements.txt

@@ -1,2 +1,3 @@
+numpy==1.26.4
 geopandas==0.11.1
 matplotlib==3.6.2