Files
superset2/superset-frontend/plugins/plugin-chart-country-map/scripts/build.py
Evan Rusackas cb5bb69fa8 feat(country-map): build script — emit manifest.json describing outputs
Adds a manifest.json output the plugin can fetch at runtime to
populate worldview / country / region-set / composite dropdowns
dynamically. Adding a new entry to the YAML configs no longer requires
a plugin code change — re-run build.sh, manifest updates, plugin
controls reflect the new options.

Manifest schema:
  ne_pinned_tag, ne_pinned_sha, build_timestamp_utc
  worldviews: [<wv>, ...]
  admin_levels: [0, 1]
  countries_by_worldview: {<wv>: [<adm0_a3>, ...]}
  regional_aggregations: [{country, set_id, worldview, size_bytes}, ...]
  composites: [{id, worldview, size_bytes}, ...]

Sample current output:
  1 worldview (ukr), 211 countries with subdivisions, 4 regional sets,
  1 composite (france_overseas). Build pinned to NE v5.1.2.

Follow-up commit will replace the hardcoded choice tables in
controlPanel.tsx with manifest-driven options.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-12 17:06:30 -07:00

932 lines
33 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Country Map build pipeline — Natural Earth → GeoJSON.
Replaces the legacy Jupyter notebook. Reads YAML configs from config/,
downloads pinned Natural Earth shapefiles, applies declarative transforms,
optionally runs procedural escape-hatch scripts, and writes per-worldview
GeoJSON outputs to output/.
Run with: ./build.sh (which is just `python3 build.py` with sensible env)
This is the POC version — currently implements:
- NE shapefile download + cache (pinned to v5.1.2)
- Shapefile → GeoJSON conversion via mapshaper CLI
- name_overrides.yaml application
- One worldview (UA) at Admin 0
Future commits will add: multiple worldviews, Admin 1, flying_islands,
territory_assignments, regional_aggregations, composite_maps, simplification,
procedural/ orchestration.
"""
from __future__ import annotations
import json
import shutil
import subprocess
import sys
import urllib.request
from pathlib import Path
from typing import Any
import yaml # type: ignore[import-untyped]
# ----------------------------------------------------------------------
# Constants / paths
# ----------------------------------------------------------------------
NE_REPO = "nvkelso/natural-earth-vector"
NE_PINNED_TAG = "v5.1.2"
NE_PINNED_SHA = "f1890d9f152c896d250a77557a5751a93d494776"
NE_RAW_URL = f"https://raw.githubusercontent.com/{NE_REPO}/{NE_PINNED_SHA}/10m_cultural"
SCRIPT_DIR = Path(__file__).resolve().parent
CONFIG_DIR = SCRIPT_DIR / "config"
OUTPUT_DIR = SCRIPT_DIR / "output"
CACHE_DIR = SCRIPT_DIR / ".cache"
SHAPEFILE_EXTS = ["shp", "shx", "dbf", "prj", "cpg"]
# Worldview codes shipped by NE as suffixes on the Admin 0 file name. Empty
# string = the "Default" (ungrouped) NE editorial. The new plugin's
# documented default is "ukr".
WORLDVIEWS_ADMIN_0 = [
"", # Default
"ukr", # Ukraine — Superset's documented default
]
def log(msg: str) -> None:
print(msg, file=sys.stderr, flush=True)
# ----------------------------------------------------------------------
# NE download
# ----------------------------------------------------------------------
def fetch_ne_shapefile(admin_level: int, worldview: str = "") -> Path:
"""Download (or use cached) shapefile components for one NE layer.
Returns the path to the `.shp` file; sibling `.shx`/`.dbf`/`.prj`/`.cpg`
files live alongside as mapshaper requires.
"""
if admin_level == 0:
suffix = f"_{worldview}" if worldview else ""
basename = f"ne_10m_admin_0_countries{suffix}"
elif admin_level == 1:
# NE only publishes worldview-specific files at Admin 0. Admin 1
# uses a single file with per-feature `WORLDVIEW` attributes.
basename = "ne_10m_admin_1_states_provinces"
else:
raise ValueError(f"Unsupported admin_level={admin_level}")
target_shp = CACHE_DIR / f"{basename}.shp"
if target_shp.exists():
return target_shp
CACHE_DIR.mkdir(exist_ok=True)
log(f"Downloading NE {basename} (worldview={worldview or 'default'})…")
for ext in SHAPEFILE_EXTS:
url = f"{NE_RAW_URL}/{basename}.{ext}"
dest = CACHE_DIR / f"{basename}.{ext}"
try:
urllib.request.urlretrieve(url, dest)
except urllib.error.HTTPError as e:
if ext == "cpg" and e.code == 404:
# .cpg is optional in shapefile bundles
continue
raise
return target_shp
# ----------------------------------------------------------------------
# Shapefile → GeoJSON via mapshaper CLI
# ----------------------------------------------------------------------
def shp_to_geojson(shp: Path, output: Path) -> None:
"""Convert a shapefile to GeoJSON FeatureCollection.
Also normalizes property names to lowercase: NE ships Admin 0 with
uppercase field names (ADM0_A3, NAME_EN, ...) and Admin 1 with
lowercase (adm0_a3, name_en, ...). All transforms downstream assume
lowercase, so we normalize at conversion time.
"""
if shutil.which("npx") is None:
raise RuntimeError(
"npx not found in PATH; mapshaper is required for shapefile conversion"
)
log(f" mapshaper: {shp.name}{output.name}")
subprocess.run(
["npx", "--yes", "mapshaper", str(shp), "-o", str(output), "format=geojson"],
check=True,
stderr=subprocess.DEVNULL,
)
_normalize_property_keys(output)
def _normalize_property_keys(geojson_path: Path) -> None:
"""Lowercase all feature property keys in-place."""
geo = json.loads(geojson_path.read_text())
for f in geo.get("features", []):
props = f.get("properties") or {}
f["properties"] = {k.lower(): v for k, v in props.items()}
geojson_path.write_text(json.dumps(geo))
def simplify_geojson(src: Path, dst: Path, percentage: float = 5.0) -> None:
"""Run mapshaper -simplify to reduce file size with topology preserved.
Default 5% keeps recognizable country shapes while shrinking typical
Admin 1 output ~10x. `keep-shapes` prevents tiny features (small
islands) from being dropped entirely.
"""
log(f" mapshaper -simplify {percentage}% keep-shapes: {src.name}{dst.name}")
subprocess.run(
[
"npx", "--yes", "mapshaper",
str(src),
"-simplify", f"{percentage}%", "keep-shapes",
"-o", str(dst), "format=geojson",
],
check=True,
stderr=subprocess.DEVNULL,
)
# ----------------------------------------------------------------------
# Match helpers
# ----------------------------------------------------------------------
def _matches(props: dict[str, Any], conditions: dict[str, Any]) -> bool:
"""Check whether a feature's properties satisfy all conditions in match.
Supports two value forms:
- scalar: exact equality
- {in: [...]}: membership in a list
"""
for k, want in conditions.items():
got = props.get(k)
if isinstance(want, dict) and "in" in want:
if got not in want["in"]:
return False
else:
if got != want:
return False
return True
# ----------------------------------------------------------------------
# Transforms
# ----------------------------------------------------------------------
def apply_name_overrides(geo: dict, overrides: list[dict]) -> dict:
"""Apply attribute overrides from name_overrides.yaml."""
n_applied = 0
for entry in overrides:
match = entry["match"]
new_values = entry["set"]
for feature in geo["features"]:
props = feature["properties"]
if _matches(props, match):
props.update(new_values)
n_applied += 1
log(f" name_overrides: applied {n_applied} field updates "
f"across {len(overrides)} entries")
return geo
def _collect_coords(geom: dict, xs: list[float], ys: list[float]) -> None:
"""Walk a Polygon/MultiPolygon and collect all x/y values."""
def walk(c: Any) -> None:
if isinstance(c[0], (int, float)):
xs.append(c[0])
ys.append(c[1])
else:
for sub in c:
walk(sub)
walk(geom["coordinates"])
def _bbox_center(geom: dict) -> tuple[float, float]:
xs: list[float] = []
ys: list[float] = []
_collect_coords(geom, xs, ys)
return ((min(xs) + max(xs)) / 2, (min(ys) + max(ys)) / 2)
def _translate_and_scale_with_pivot(
geom: dict,
offset: list[float],
scale: float,
pivot: tuple[float, float],
) -> dict:
"""Translate + scale a geometry around an explicit pivot point.
Pure-Python — no shapely. Operates on Polygon/MultiPolygon coords
(the only types in NE Admin 0/1 country geometries).
"""
cx, cy = pivot
dx, dy = offset
def transform_pt(p: list[float]) -> list[float]:
return [(p[0] - cx) * scale + cx + dx, (p[1] - cy) * scale + cy + dy]
def walk(c: Any) -> Any:
if isinstance(c[0], (int, float)):
return transform_pt(c)
return [walk(sub) for sub in c]
geom["coordinates"] = walk(geom["coordinates"])
return geom
def _translate_and_scale(
geom: dict,
offset: list[float],
scale: float = 1.0,
) -> dict:
"""Translate + scale around the geometry's own bbox center."""
return _translate_and_scale_with_pivot(geom, offset, scale, _bbox_center(geom))
def _drop_parts(geom: dict, indices: list[int]) -> dict:
"""Drop specific sub-polygon indices from a MultiPolygon (no-op for Polygon)."""
if geom["type"] != "MultiPolygon":
return geom
drop_set = set(indices)
kept = [p for i, p in enumerate(geom["coordinates"]) if i not in drop_set]
return {"type": "MultiPolygon", "coordinates": kept}
def _bbox_contains(geom: dict, nw: list[float], se: list[float]) -> bool:
"""Whether the geometry's bbox is fully contained within the [nw, se] box."""
xs: list[float] = []
ys: list[float] = []
def _walk(c: Any) -> None:
if isinstance(c[0], (int, float)):
xs.append(c[0])
ys.append(c[1])
else:
for sub in c:
_walk(sub)
_walk(geom["coordinates"])
if not xs:
return False
x_min, x_max = min(xs), max(xs)
y_min, y_max = min(ys), max(ys)
# nw = (lon_west, lat_north); se = (lon_east, lat_south)
return (
x_min >= nw[0]
and x_max <= se[0]
and y_min >= se[1]
and y_max <= nw[1]
)
def apply_composite_maps(
base_admin1: dict,
config: dict,
worldview: str,
simplify_pct: float = 5.0,
) -> list[Path]:
"""Build one composite GeoJSON per entry in composite_maps.yaml.
A composite combines a base country's Admin 1 features with
repositions + features pulled from sibling Admin 0 records' Admin 1
subdivisions, all into one map. Used for France-with-Overseas
(pulls Windward Islands from PYF Admin 1, Kerguelen from ATF
Admin 1, etc.).
`base_admin1` is the post-name_overrides global Admin 1 geo, which
contains ALL countries' subdivisions (NE Admin 1 is one global
dataset, not per-worldview). Composites do their own repositioning
and don't depend on flying_islands state.
Returns list of output paths created.
"""
composites = config.get("composites", {})
if not composites:
log(" composite_maps: nothing to apply (config empty)")
return []
outputs: list[Path] = []
wv_label = worldview or "default"
for composite_id, cdef in composites.items():
base_a3 = cdef["base"]["adm0_a3"]
# Start with base country's Admin 1 features (deep copy)
composite_features: list[dict] = [
json.loads(json.dumps(f))
for f in base_admin1["features"]
if f["properties"].get("adm0_a3") == base_a3
]
# ---- base_repositions ------------------------------------------
for entry in cdef.get("base_repositions", []):
match = entry["match"]
offset = entry["offset"]
scale = entry.get("scale", 1.0)
group = entry.get("group", False)
drop_parts = entry.get("drop_parts")
matched = [f for f in composite_features if _matches(f["properties"], match)]
if not matched:
log(f" WARN: composite {composite_id} base_reposition matched 0 features for {match}")
continue
if group and len(matched) > 1:
# Compute shared pivot across all matched features so they
# transform as one body (Paris + petite couronne case).
xs: list[float] = []
ys: list[float] = []
for f in matched:
_collect_coords(f["geometry"], xs, ys)
pivot = ((min(xs) + max(xs)) / 2, (min(ys) + max(ys)) / 2)
for f in matched:
if drop_parts:
f["geometry"] = _drop_parts(f["geometry"], drop_parts)
_translate_and_scale_with_pivot(
f["geometry"], offset=offset, scale=scale, pivot=pivot
)
else:
for f in matched:
if drop_parts:
f["geometry"] = _drop_parts(f["geometry"], drop_parts)
_translate_and_scale(f["geometry"], offset=offset, scale=scale)
# ---- additions -------------------------------------------------
for add in cdef.get("additions", []):
from_spec = add["from"]
source_a3 = from_spec["adm0_a3"]
source_match = from_spec.get("match", {})
dissolve = from_spec.get("dissolve", False)
drop_parts = add.get("drop_parts")
reposition = add["reposition"]
offset = reposition["offset"]
scale = reposition.get("scale", 1.0)
set_fields = add.get("set", {})
# All current additions pull from Admin 1 features of a
# sibling Admin 0 record (Windward Islands from PYF Admin 1,
# Kerguelen from ATF Admin 1, etc.). Admin 1 is one global
# dataset shared across worldviews.
matched_source = [
json.loads(json.dumps(f))
for f in base_admin1["features"]
if f["properties"].get("adm0_a3") == source_a3
and (not source_match or _matches(f["properties"], source_match))
]
if not matched_source:
log(
f" WARN: composite {composite_id} addition for "
f"adm0_a3={source_a3} match={source_match} found 0 features"
)
continue
# If dissolve=true and multiple matched, merge via mapshaper
if dissolve and len(matched_source) > 1:
inter = OUTPUT_DIR / f"_composite_pre_dissolve_{composite_id}_{source_a3}.geo.json"
inter.write_text(json.dumps({
"type": "FeatureCollection",
"features": matched_source,
}))
dissolved_path = OUTPUT_DIR / f"_composite_dissolved_{composite_id}_{source_a3}.geo.json"
subprocess.run(
[
"npx", "--yes", "mapshaper",
str(inter),
"-each", "this.properties._x = 1",
"-dissolve", "_x",
"-o", str(dissolved_path), "format=geojson",
],
check=True,
stderr=subprocess.DEVNULL,
)
dissolved = json.loads(dissolved_path.read_text())
inter.unlink()
dissolved_path.unlink()
added = [{
"type": "Feature",
"geometry": dissolved["features"][0]["geometry"],
"properties": {},
}]
else:
added = matched_source[:1]
# Drop parts → reposition → attribute set → reattach to base country
for f in added:
if drop_parts:
f["geometry"] = _drop_parts(f["geometry"], drop_parts)
_translate_and_scale(f["geometry"], offset=offset, scale=scale)
f["properties"]["adm0_a3"] = base_a3
f["properties"].update(set_fields)
composite_features.append(f)
# ---- write + simplify ------------------------------------------
composite_geo = {
"type": "FeatureCollection",
"features": composite_features,
}
inter = OUTPUT_DIR / f"_composite_pre_simplify_{composite_id}_{wv_label}.geo.json"
inter.write_text(json.dumps(composite_geo))
output = OUTPUT_DIR / f"composite_{composite_id}_{wv_label}.geo.json"
subprocess.run(
[
"npx", "--yes", "mapshaper",
str(inter),
"-simplify", f"{simplify_pct}%", "keep-shapes",
"-o", str(output), "format=geojson",
],
check=True,
stderr=subprocess.DEVNULL,
)
inter.unlink()
log(
f" {composite_id}: {len(composite_features)} features → "
f"{output.name} ({output.stat().st_size:,} bytes)"
)
outputs.append(output)
return outputs
def apply_regional_aggregations(
geo: dict,
config: dict,
worldview: str,
simplify_pct: float = 5.0,
) -> list[Path]:
"""Build one dissolved GeoJSON per (country, region_set).
For each region_set in the config:
1. Filter Admin 1 features to the destination country
2. Tag each with a derived `_region_code` (and `_region_name`)
based on either an explicit_mapping or grouping_field
3. Write to intermediate file; mapshaper -dissolve merges by
`_region_code` in one pass
4. Rename `_region_code` → `iso_3166_2`, `_region_name` → `name`
on the dissolved output
Returns list of output paths created.
"""
countries = config.get("countries", {})
if not countries:
log(" regional_aggregations: nothing to apply (config empty)")
return []
outputs: list[Path] = []
wv_label = worldview or "default"
for country_a3, rules in countries.items():
for set_name, set_def in rules.get("region_sets", {}).items():
country_features = [
f for f in geo["features"]
if f["properties"].get("adm0_a3") == country_a3
]
tagged: list[dict] = []
if "explicit_mapping" in set_def:
em = set_def["explicit_mapping"]
# iso_3166_2 → (region_code, region_name)
reverse: dict[str, tuple[str, str]] = {
member: (rcode, rdef["name"])
for rcode, rdef in em.items()
for member in rdef["members"]
}
for f in country_features:
iso = f["properties"].get("iso_3166_2")
if iso in reverse:
rcode, rname = reverse[iso]
# deep copy so we don't mutate the upstream geo
nf = json.loads(json.dumps(f))
nf["properties"]["_region_code"] = rcode
nf["properties"]["_region_name"] = rname
tagged.append(nf)
elif "grouping_field" in set_def:
gf = set_def["grouping_field"]
for f in country_features:
val = f["properties"].get(gf)
if val:
nf = json.loads(json.dumps(f))
nf["properties"]["_region_code"] = str(val)
# display name same as code unless we add a separate
# display-name field later (e.g. region_cod_name on NE)
nf["properties"]["_region_name"] = str(val)
tagged.append(nf)
else:
log(f" {country_a3}/{set_name}: no explicit_mapping or grouping_field — skipping")
continue
if not tagged:
log(f" {country_a3}/{set_name}: no features matched mapping — skipping")
continue
n_groups = len({f["properties"]["_region_code"] for f in tagged})
inter = OUTPUT_DIR / f"_pre_dissolve_{country_a3}_{set_name}_{wv_label}.geo.json"
inter.write_text(
json.dumps({"type": "FeatureCollection", "features": tagged})
)
output = OUTPUT_DIR / f"regional_{country_a3}_{set_name}_{wv_label}.geo.json"
subprocess.run(
[
"npx", "--yes", "mapshaper",
str(inter),
"-dissolve", "_region_code",
"copy-fields=_region_name,adm0_a3",
"-simplify", f"{simplify_pct}%", "keep-shapes",
"-o", str(output), "format=geojson",
],
check=True,
stderr=subprocess.DEVNULL,
)
inter.unlink()
# Rename derived fields → standard names on the dissolved output
dissolved = json.loads(output.read_text())
for f in dissolved["features"]:
p = f["properties"]
if "_region_code" in p:
p["iso_3166_2"] = p.pop("_region_code")
if "_region_name" in p:
p["name"] = p.pop("_region_name")
output.write_text(json.dumps(dissolved))
log(
f" {country_a3}/{set_name}: {len(tagged)} subdivisions → "
f"{n_groups} regions → {output.name} "
f"({output.stat().st_size:,} bytes)"
)
outputs.append(output)
return outputs
def apply_territory_assignments(
geo: dict,
config: dict,
admin0_geo: dict,
) -> dict:
"""Pull features from sibling Admin 0 records into a destination country.
Operates on Admin 1 outputs only — the use cases (China + SARs,
Finland + Åland) all pull from Admin 0 records of one country and
add them as single Admin 1 subdivisions of another.
`admin0_geo` must already be loaded by the caller — passed in to
avoid re-downloading.
"""
countries = config.get("countries", {})
if not countries:
log(" territory_assignments: nothing to apply (config empty)")
return geo
n_added = 0
for dest_a3, rules in countries.items():
for entry in rules.get("additions", []):
from_spec = entry["from"]
source_a3 = from_spec["adm0_a3"]
source_match = from_spec.get("match", {})
for f in admin0_geo["features"]:
p = f["properties"]
if p.get("adm0_a3") != source_a3:
continue
if source_match and not _matches(p, source_match):
continue
# Deep copy; reattach to destination country
new_feature = json.loads(json.dumps(f))
new_feature["properties"]["adm0_a3"] = dest_a3
if "set" in entry:
new_feature["properties"].update(entry["set"])
geo["features"].append(new_feature)
n_added += 1
break # take first match per addition entry
log(f" territory_assignments: added {n_added} features from sibling Admin 0 records")
return geo
def apply_flying_islands(
geo: dict,
config: dict,
country_a3: str | None,
admin_level: int,
) -> dict:
"""Apply flying_islands.yaml transforms.
For Admin 0 outputs, `country_a3` is None and we apply each country's
rules to features matching that adm0_a3.
For Admin 1 outputs (per-country), `country_a3` scopes the application
to just that country's rules.
"""
countries = config.get("countries", {})
n_repos = 0
n_dropped = 0
for a3, rules in countries.items():
if country_a3 is not None and a3 != country_a3:
continue
# Repositions
for entry in rules.get("repositions", []):
match = entry["match"]
offset = entry["offset"]
scale = entry.get("scale", 1.0)
for f in geo["features"]:
props = f["properties"]
if props.get("adm0_a3") != a3:
continue
if not _matches(props, match):
continue
f["geometry"] = _translate_and_scale(
f["geometry"], offset=offset, scale=scale
)
n_repos += 1
# Drop outside bbox — only meaningful at Admin 1 (where each
# feature is a single subdivision). At Admin 0 a country's
# multi-polygon often extends to overseas territories, so the
# bbox check would drop entire countries.
drop = rules.get("drop_outside_bbox") if admin_level == 1 else None
if drop:
nw, se = drop["nw"], drop["se"]
kept: list[dict] = []
for f in geo["features"]:
if f["properties"].get("adm0_a3") != a3:
kept.append(f)
continue
if _bbox_contains(f["geometry"], nw, se):
kept.append(f)
else:
n_dropped += 1
geo["features"] = kept
log(
f" flying_islands: repositioned {n_repos} features, "
f"dropped {n_dropped} (outside-bbox)"
)
return geo
# ----------------------------------------------------------------------
# Main
# ----------------------------------------------------------------------
def build_one(
worldview: str,
admin_level: int,
name_overrides: list[dict],
flying_islands: dict,
territory_assignments: dict,
regional_aggregations: dict,
composite_maps: dict,
) -> Path:
"""Build one (worldview, admin_level) GeoJSON. Returns the output path."""
log(f"\nBuilding worldview={worldview or 'default'} admin_level={admin_level}")
shp = fetch_ne_shapefile(admin_level, worldview)
raw = OUTPUT_DIR / f"_raw_{worldview or 'default'}_admin{admin_level}.geo.json"
shp_to_geojson(shp, raw)
geo = json.loads(raw.read_text())
log(f" loaded {len(geo['features'])} features")
geo = apply_name_overrides(geo, name_overrides)
geo = apply_flying_islands(geo, flying_islands, country_a3=None, admin_level=admin_level)
# territory_assignments only makes sense at Admin 1 — the additions
# (China+SARs, Finland+Åland) inject Admin-0-sized features as
# single subdivisions of a destination country.
if admin_level == 1 and territory_assignments.get("countries"):
admin0_shp = fetch_ne_shapefile(0, worldview)
admin0_path = OUTPUT_DIR / f"_admin0_for_assignments_{worldview or 'default'}.geo.json"
if not admin0_path.exists():
shp_to_geojson(admin0_shp, admin0_path)
admin0_geo = json.loads(admin0_path.read_text())
geo = apply_territory_assignments(geo, territory_assignments, admin0_geo)
admin0_path.unlink(missing_ok=True)
# regional_aggregations runs at Admin 1; emits its own per-(country,set)
# output files separate from the main worldview output.
if admin_level == 1:
apply_regional_aggregations(geo, regional_aggregations, worldview)
# composite_maps also runs at Admin 1 and emits per-composite output
# files. Operates on the post-name-override Admin 1 geo — does its
# own repositioning, doesn't depend on flying_islands state.
if admin_level == 1 and composite_maps.get("composites"):
apply_composite_maps(geo, composite_maps, worldview)
# TODO(future): procedural/
wv_label = worldview or "default"
if admin_level == 1:
# Per-country split: each chart loads only its country's data
# (~50KB-1MB) instead of the full ~15MB global Admin 1 layer.
country_outputs = _write_admin1_per_country(geo, wv_label, simplify_pct=5.0)
log(
f" wrote {len(country_outputs)} per-country Admin 1 files "
f"(total {sum(p.stat().st_size for p in country_outputs):,} bytes)"
)
raw.unlink()
return country_outputs[0] if country_outputs else raw # placeholder return
# Admin 0: single global file (one feature per country = small enough)
transformed = OUTPUT_DIR / f"_transformed_{wv_label}_admin{admin_level}.geo.json"
transformed.write_text(json.dumps(geo))
final = OUTPUT_DIR / f"{wv_label}_admin{admin_level}.geo.json"
simplify_geojson(transformed, final, percentage=5.0)
log(f" wrote {final.name} ({final.stat().st_size:,} bytes, "
f"{len(geo['features'])} features)")
raw.unlink()
transformed.unlink()
return final
def _write_admin1_per_country(
geo: dict,
wv_label: str,
simplify_pct: float = 5.0,
) -> list[Path]:
"""Split global Admin 1 into one GeoJSON per country, each simplified."""
from collections import defaultdict
by_country: dict[str, list[dict]] = defaultdict(list)
for f in geo["features"]:
a3 = f["properties"].get("adm0_a3")
if a3:
by_country[a3].append(f)
outputs: list[Path] = []
for a3, features in sorted(by_country.items()):
if len(features) < 2:
# Single-subdivision countries are useless as choropleths.
continue
country_geo = {"type": "FeatureCollection", "features": features}
inter = OUTPUT_DIR / f"_admin1_{a3}_{wv_label}_pre.geo.json"
inter.write_text(json.dumps(country_geo))
out = OUTPUT_DIR / f"{wv_label}_admin1_{a3}.geo.json"
subprocess.run(
[
"npx", "--yes", "mapshaper",
str(inter),
"-simplify", f"{simplify_pct}%", "keep-shapes",
"-o", str(out), "format=geojson",
],
check=True,
stderr=subprocess.DEVNULL,
)
inter.unlink()
outputs.append(out)
return outputs
def write_manifest(targets: list[tuple[str, int]]) -> Path:
"""Emit manifest.json describing what the build produced.
The plugin's control panel reads this at runtime to populate
worldview / country / region-set / composite dropdowns dynamically,
so adding a new entry to the YAML configs doesn't require a plugin
code change.
"""
from datetime import datetime, timezone
# Walk the OUTPUT_DIR for everything we wrote
worldviews = sorted({wv or "default" for wv, _ in targets})
admin_levels = sorted({al for _, al in targets})
countries_by_wv: dict[str, list[str]] = {wv: [] for wv in worldviews}
regional_sets: list[dict] = []
composites: list[dict] = []
for path in sorted(OUTPUT_DIR.glob("*.geo.json")):
name = path.stem.replace(".geo", "")
# ukr_admin1_FRA → worldview=ukr, admin1=FRA
for wv in worldviews:
prefix = f"{wv}_admin1_"
if name.startswith(prefix):
countries_by_wv[wv].append(name[len(prefix):])
# regional_TUR_nuts_1_ukr
if name.startswith("regional_"):
parts = name.split("_")
wv = parts[-1]
country = parts[1]
set_name = "_".join(parts[2:-1])
regional_sets.append({
"country": country,
"set_id": set_name,
"worldview": wv,
"size_bytes": path.stat().st_size,
})
# composite_france_overseas_ukr
elif name.startswith("composite_"):
parts = name.split("_")
wv = parts[-1]
cid = "_".join(parts[1:-1])
composites.append({
"id": cid,
"worldview": wv,
"size_bytes": path.stat().st_size,
})
manifest = {
"ne_pinned_tag": NE_PINNED_TAG,
"ne_pinned_sha": NE_PINNED_SHA,
"build_timestamp_utc": datetime.now(timezone.utc).isoformat(),
"worldviews": worldviews,
"admin_levels": admin_levels,
"countries_by_worldview": {
wv: sorted(set(codes)) for wv, codes in countries_by_wv.items()
},
"regional_aggregations": regional_sets,
"composites": composites,
}
manifest_path = OUTPUT_DIR / "manifest.json"
manifest_path.write_text(json.dumps(manifest, indent=2))
log(
f"\nWrote manifest.json — {len(worldviews)} worldview(s), "
f"{sum(len(v) for v in countries_by_wv.values())} country files, "
f"{len(regional_sets)} regional sets, {len(composites)} composites"
)
return manifest_path
def main() -> int:
OUTPUT_DIR.mkdir(exist_ok=True)
log(f"Country Map build — pinned to NE {NE_PINNED_TAG} ({NE_PINNED_SHA[:8]})")
# Load configs
name_overrides = yaml.safe_load(
(CONFIG_DIR / "name_overrides.yaml").read_text()
)["overrides"]
flying_islands = yaml.safe_load(
(CONFIG_DIR / "flying_islands.yaml").read_text()
)
territory_assignments = yaml.safe_load(
(CONFIG_DIR / "territory_assignments.yaml").read_text()
)
regional_aggregations = yaml.safe_load(
(CONFIG_DIR / "regional_aggregations.yaml").read_text()
)
composite_maps = yaml.safe_load(
(CONFIG_DIR / "composite_maps.yaml").read_text()
)
log(f"Loaded {len(name_overrides)} name override entries")
log(f"Loaded flying_islands rules for {len(flying_islands.get('countries', {}))} countries")
log(f"Loaded territory_assignments rules for "
f"{len(territory_assignments.get('countries', {}))} countries")
n_region_sets = sum(
len(c.get("region_sets", {}))
for c in regional_aggregations.get("countries", {}).values()
)
log(f"Loaded regional_aggregations: {n_region_sets} region-sets across "
f"{len(regional_aggregations.get('countries', {}))} countries")
log(f"Loaded composite_maps: {len(composite_maps.get('composites', {}))} composites")
# POC scope: UA worldview, both Admin 0 and Admin 1. Future commits
# add more worldviews (Default, and other major NE worldviews).
targets: list[tuple[str, int]] = [
("ukr", 0),
("ukr", 1), # Admin 1 — exercises name_overrides + per-country fly-island rules
]
for worldview, admin_level in targets:
build_one(
worldview,
admin_level,
name_overrides,
flying_islands,
territory_assignments,
regional_aggregations,
composite_maps,
)
write_manifest(targets)
log("\nDone.")
return 0
if __name__ == "__main__":
sys.exit(main())