Tizian 「ティツィアーン」
af1dbee509
- Melos 8.9 as the root's dev dependency, with scripts across the workspace (analyze, test:dart, test:flutter, generate, check) and its filters (--diff, --include-dependents); cli_util overridden to 0.5.2 for it, since Learn's flutter_launcher_icons asks for 0.4 and uses only its logger, unchanged in 0.5. - tool/check.dart in place of tool/check.sh: packages, formatting of our own files, analysis, the tools' tests, then every package's tests through Melos (--changed-since=<commit> for only what changed and what depends on it). tool/pre-push is the hook: the signature check, then the checks. CI generates every server's code and runs the same check. - The images build from the root with a workspace narrowed to what they need (tool/workspace_only.sh); compose, the deploy's migration test, the snap, the release script, the editor's launch files and Learn's asset tools (run from apps/learn) follow the new layout. - The project's source is named as project-halkyon/halkyon (source link, snap, F-Droid listing, release uploads); the AGPL packages carry the licence's own text. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
69 lines
2.6 KiB
Python
69 lines
2.6 KiB
Python
#!/usr/bin/env python3
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"""Builds the app's map of Japan's prefectures from Natural Earth.
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Natural Earth's vector data is in the public domain. This script downloads
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its Admin 1 (states, provinces) layer at 1:10m, release v5.1.2, checks the
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download against the hash recorded below, keeps Japan's 47 prefectures, and
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reduces them to a compact outline for display (outlines.py): Douglas-Peucker
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simplification (0.006 degrees), islands too small to see dropped (each
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prefecture keeps its largest), coordinates rounded to 4 decimals. The result
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is an approximation, not survey-accurate data.
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Each region is named by its ISO 3166-2 code (JP-01 ... JP-47), with Natural
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Earth's English and Japanese names.
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Run from apps/learn with Python 3 and no other packages:
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python3 tool/maps/japan_prefectures.py
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It rewrites halkyon_learn_flutter/assets/maps/japan_prefectures.geojson.
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"""
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import json
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent))
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from outlines import download, polygons_of, reduce # noqa: E402
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SOURCE = (
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"https://raw.githubusercontent.com/nvkelso/natural-earth-vector/"
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"v5.1.2/geojson/ne_10m_admin_1_states_provinces.geojson"
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)
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SOURCE_SHA256 = "22d0e3ad85eb3e27f17cabf8ba2d50e554fbc27a87796ff891d958185da62fb5"
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TARGET = Path("halkyon_learn_flutter/assets/maps/japan_prefectures.geojson")
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TOLERANCE = 0.006 # degrees
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MIN_AREA = 0.0005 # square degrees; smaller islands are dropped
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DECIMALS = 4
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def main():
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source = json.loads(download(SOURCE, SOURCE_SHA256))
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features = []
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for feature in source["features"]:
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properties = feature["properties"]
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if properties.get("adm0_a3") != "JPN":
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continue
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features.append({
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"type": "Feature",
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"properties": {
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"code": properties["iso_3166_2"],
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"name": properties["name"],
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"name_ja": properties["name_ja"],
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},
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"geometry": reduce(polygons_of(feature["geometry"]), TOLERANCE,
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MIN_AREA, DECIMALS),
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})
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features.sort(key=lambda feature: feature["properties"]["code"])
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codes = [feature["properties"]["code"] for feature in features]
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if codes != [f"JP-{n:02d}" for n in range(1, 48)]:
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sys.exit(f"Expected the 47 prefectures JP-01 ... JP-47, got {codes}")
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TARGET.write_text(json.dumps(
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{"type": "FeatureCollection", "features": features},
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ensure_ascii=False, separators=(",", ":")) + "\n", encoding="utf-8")
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print(f"Wrote {TARGET} ({TARGET.stat().st_size} bytes)", file=sys.stderr)
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if __name__ == "__main__":
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main()
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