Files
pbf/build_semantic_delivery_assets.py
2026-04-18 14:26:54 +08:00

355 lines
12 KiB
Python

from __future__ import annotations
import csv
import json
import os
import re
import shutil
import subprocess
from concurrent.futures import ProcessPoolExecutor
from dataclasses import dataclass
from pathlib import Path
import mapbox_vector_tile
from PIL import Image
from navsea_tile_reencode_guard import (
assert_reencoded_tile_safe,
decode_tile_with_extents,
encode_layers_preserving_extents,
)
REPO_ROOT = Path(__file__).resolve().parent
BASE_AUDIT_CSV = REPO_ROOT / "tasks/pbf/NavSea_Sprite_Audit_newpec_style_with_pbf_2026-04-16.csv"
T_OVERRIDE_CSV = REPO_ROOT / "tasks/pbf/NavSea_Sprite_Basis_T_建议修正表_2026-04-16.csv"
MAPPING_JSON = REPO_ROOT / "src/pbf/semantic_sprite_key_map_2026-04-16.json"
SOURCE_SPRITE_JSON_2X = Path("/mnt/sda1/www/newpec/sprite/sprite@2x.json")
SOURCE_SPRITE_PNG_2X = Path("/mnt/sda1/www/newpec/sprite/sprite@2x.png")
OUTPUT_SPRITE_DIR = Path("/mnt/sda1/www/newpec/sprite-semantic")
SOURCE_STYLE = REPO_ROOT / "src/pbf/style.navsea-delivery-full.json"
OUTPUT_STYLE = REPO_ROOT / "src/pbf/style.navsea-delivery-full-semantic.json"
DEPLOYED_STYLE = Path("/mnt/sda1/www/newpec/domain/style.navsea-delivery-full-semantic.json")
SOURCE_PBF_ROOT = Path("/home/wwwroot/pbf-delivery-full-20260415")
OUTPUT_PBF_ROOT = Path("/home/wwwroot/pbf-delivery-full-semantic-20260416")
SEMANTIC_SPRITE_BASE_URL = "http://192.168.200.184/newpec/sprite-semantic/sprite"
SEMANTIC_PBF_TILE_URL = "http://192.168.200.184/pbf-delivery-full-semantic-20260416/{z}/{x}/{y}.pbf"
STYLE_VERSION = "full-semantic-style-r1-20260416-1628"
PBF_VERSION = "full-semantic-pbf-r1-20260416-1628"
SPRITE_VERSION = "full-semantic-sprite-r1-20260416-1628"
PBF_PROPERTY_FIELDS = ("chart_icon_image", "chart_fill_pattern")
@dataclass(frozen=True)
class AuditRow:
old_sprite_key: str
used_in_newpec_style: int
used_in_pbf: int
new_sprite_key: str
def normalize_key(value: str) -> str:
value = re.sub(r"\s*\[[^\]]+\]\s*", "", value.strip())
value = value.replace("-", "_").replace(" ", "_").lower()
value = (
value.replace("easte", "east")
.replace("sourth", "south")
.replace("varian", "variant")
.replace("cardianal", "cardinal")
)
value = re.sub(r"_+", "_", value).strip("_")
return value
def load_audit_rows() -> list[AuditRow]:
overrides: dict[str, str] = {}
with T_OVERRIDE_CSV.open(encoding="utf-8-sig") as handle:
for row in csv.DictReader(handle):
overrides[row["old_sprite_key"].strip()] = row["suggested_new_sprite_key"].strip()
rows: list[AuditRow] = []
with BASE_AUDIT_CSV.open(encoding="utf-8-sig") as handle:
for row in csv.DictReader(handle):
old_key = row["old_sprite_key"].strip()
new_key = overrides.get(old_key) or row["new_sprite_key"].strip()
rows.append(
AuditRow(
old_sprite_key=old_key,
used_in_newpec_style=int(row["used_in_newpec_style"] or 0),
used_in_pbf=int(row["used_in_pbf"] or 0),
new_sprite_key=normalize_key(new_key) if new_key else "",
)
)
return rows
def build_mapping(rows: list[AuditRow]) -> dict[str, str]:
mapping: dict[str, str] = {}
for row in rows:
if row.new_sprite_key:
mapping[row.old_sprite_key] = row.new_sprite_key
return mapping
def build_used_sprite_entries(rows: list[AuditRow], mapping: dict[str, str]) -> list[tuple[str, str]]:
used: list[tuple[str, str]] = []
for row in rows:
if row.used_in_newpec_style <= 0 and row.used_in_pbf <= 0:
continue
used.append((row.old_sprite_key, mapping.get(row.old_sprite_key, row.old_sprite_key)))
return used
def write_mapping_json(mapping: dict[str, str]) -> None:
MAPPING_JSON.write_text(
json.dumps(dict(sorted(mapping.items())), ensure_ascii=False, indent=2) + "\n",
encoding="utf-8",
)
def pack_entries(
entries: list[tuple[str, str]],
source_meta: dict[str, dict],
scale: float,
max_width: int,
) -> tuple[Image.Image, dict[str, dict]]:
positions: dict[str, dict] = {}
cursor_x = 0
cursor_y = 0
row_height = 0
packed: list[tuple[str, tuple[int, int, int, int]]] = []
for old_key, new_key in entries:
meta = source_meta[old_key]
width = max(1, round(meta["width"] * scale))
height = max(1, round(meta["height"] * scale))
if cursor_x and cursor_x + width > max_width:
cursor_x = 0
cursor_y += row_height
row_height = 0
packed.append((old_key, (cursor_x, cursor_y, width, height)))
record = {
"x": cursor_x,
"y": cursor_y,
"width": width,
"height": height,
"pixelRatio": 1 if scale == 0.5 else 2,
}
positions[new_key] = record
if old_key != new_key:
positions[old_key] = dict(record)
cursor_x += width
row_height = max(row_height, height)
atlas_height = cursor_y + row_height
image = Image.new("RGBA", (max_width, atlas_height), (0, 0, 0, 0))
source_image = Image.open(SOURCE_SPRITE_PNG_2X).convert("RGBA")
for old_key, (x, y, width, height) in packed:
meta = source_meta[old_key]
crop = source_image.crop(
(
meta["x"],
meta["y"],
meta["x"] + meta["width"],
meta["y"] + meta["height"],
)
)
if scale != 1.0:
crop = crop.resize((width, height), Image.LANCZOS)
image.paste(crop, (x, y))
return image, positions
def build_semantic_sprite(entries: list[tuple[str, str]]) -> None:
OUTPUT_SPRITE_DIR.mkdir(parents=True, exist_ok=True)
source_meta = json.loads(SOURCE_SPRITE_JSON_2X.read_text(encoding="utf-8"))
atlas_2x, meta_2x = pack_entries(entries, source_meta, scale=1.0, max_width=2048)
atlas_1x, meta_1x = pack_entries(entries, source_meta, scale=0.5, max_width=1024)
atlas_2x.save(OUTPUT_SPRITE_DIR / "sprite@2x.png")
atlas_1x.save(OUTPUT_SPRITE_DIR / "sprite.png")
(OUTPUT_SPRITE_DIR / "sprite@2x.json").write_text(
json.dumps(meta_2x, ensure_ascii=False, indent=2) + "\n", encoding="utf-8"
)
(OUTPUT_SPRITE_DIR / "sprite.json").write_text(
json.dumps(meta_1x, ensure_ascii=False, indent=2) + "\n", encoding="utf-8"
)
def replace_sprite_keys(value, mapping: dict[str, str]):
if isinstance(value, dict):
return {k: replace_sprite_keys(v, mapping) for k, v in value.items()}
if isinstance(value, list):
return [replace_sprite_keys(item, mapping) for item in value]
if isinstance(value, str):
return mapping.get(value, value)
return value
def build_semantic_style(mapping: dict[str, str]) -> None:
style = json.loads(SOURCE_STYLE.read_text(encoding="utf-8"))
style = replace_sprite_keys(style, mapping)
style["name"] = "NavSea Delivery Full Semantic"
style["sprite"] = SEMANTIC_SPRITE_BASE_URL
if style.get("sources", {}).get("navsea_delivery"):
style["sources"]["navsea_delivery"]["tiles"] = [SEMANTIC_PBF_TILE_URL]
OUTPUT_STYLE.write_text(json.dumps(style, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
DEPLOYED_STYLE.write_text(json.dumps(style, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
def hardlink_or_copy(src: Path, dst: Path) -> None:
dst.parent.mkdir(parents=True, exist_ok=True)
if dst.exists():
dst.unlink()
try:
os.link(src, dst)
except OSError:
dst.write_bytes(src.read_bytes())
def remap_tile(src: Path, dst: Path, value_map: dict[str, str], needles: list[bytes]) -> tuple[bool, int]:
raw = src.read_bytes()
if not any(needle in raw for needle in needles):
hardlink_or_copy(src, dst)
return False, 0
decoded, source_extents = decode_tile_with_extents(raw)
changed_features = 0
changed = False
layers = []
for layer_name, layer in decoded.items():
features = []
for feature in layer["features"]:
props = feature.get("properties", {})
feature_changed = False
for field in PBF_PROPERTY_FIELDS:
value = props.get(field)
if isinstance(value, str) and value in value_map:
props[field] = value_map[value]
feature_changed = True
if feature_changed:
changed_features += 1
changed = True
output_feature = {
"geometry": feature["geometry"],
"properties": props,
}
if feature.get("id") is not None:
output_feature["id"] = feature["id"]
features.append(output_feature)
layers.append({"name": layer_name, "features": features})
if changed:
dst.parent.mkdir(parents=True, exist_ok=True)
if dst.exists():
dst.unlink()
dst.write_bytes(encode_layers_preserving_extents(layers, source_extents))
assert_reencoded_tile_safe(src, dst)
else:
hardlink_or_copy(src, dst)
return changed, changed_features
def remap_tile_job(args: tuple[str, str, dict[str, str], list[bytes]]) -> tuple[bool, int]:
src_str, dst_str, value_map, needles = args
return remap_tile(Path(src_str), Path(dst_str), value_map, needles)
def backfill_missing_tiles(src_root: Path, dst_root: Path) -> int:
missing = 0
for src in src_root.rglob("*.pbf"):
dst = dst_root / src.relative_to(src_root)
if dst.exists():
continue
hardlink_or_copy(src, dst)
missing += 1
return missing
def build_semantic_pbf(rows: list[AuditRow], mapping: dict[str, str]) -> dict[str, int]:
value_map = {
row.old_sprite_key: mapping[row.old_sprite_key]
for row in rows
if row.used_in_pbf > 0 and row.old_sprite_key in mapping
}
needles = [old.encode("utf-8") for old in value_map]
if OUTPUT_PBF_ROOT.exists():
shutil.rmtree(OUTPUT_PBF_ROOT)
OUTPUT_PBF_ROOT.parent.mkdir(parents=True, exist_ok=True)
subprocess.run(
["cp", "-al", f"{SOURCE_PBF_ROOT}/.", str(OUTPUT_PBF_ROOT)],
check=True,
)
rg_cmd = ["rg", "-a", "-l", "-F"]
for old_key in value_map:
rg_cmd.extend(["-e", old_key])
rg_cmd.append(str(SOURCE_PBF_ROOT))
result = subprocess.run(rg_cmd, check=True, capture_output=True, text=True)
tile_paths = [Path(line) for line in result.stdout.splitlines() if line.strip()]
stats = {
"tiles_total": len(list(SOURCE_PBF_ROOT.rglob("*.pbf"))),
"tiles_changed": 0,
"features_changed": 0,
"tiles_scanned_for_rewrite": len(tile_paths),
}
jobs = [
(
str(src),
str(OUTPUT_PBF_ROOT / src.relative_to(SOURCE_PBF_ROOT)),
value_map,
needles,
)
for src in tile_paths
]
with ProcessPoolExecutor(max_workers=min(os.cpu_count() or 4, 12)) as executor:
for changed, feature_count in executor.map(remap_tile_job, jobs, chunksize=128):
if changed:
stats["tiles_changed"] += 1
stats["features_changed"] += feature_count
stats["tiles_backfilled"] = backfill_missing_tiles(SOURCE_PBF_ROOT, OUTPUT_PBF_ROOT)
stats["tiles_total_after_backfill"] = len(list(OUTPUT_PBF_ROOT.rglob("*.pbf")))
return stats
def main() -> None:
rows = load_audit_rows()
mapping = build_mapping(rows)
used_entries = build_used_sprite_entries(rows, mapping)
write_mapping_json(mapping)
build_semantic_sprite(used_entries)
build_semantic_style(mapping)
pbf_stats = build_semantic_pbf(rows, mapping)
summary = {
"mapping_count": len(mapping),
"used_sprite_entries": len(used_entries),
"style_output": str(OUTPUT_STYLE),
"deployed_style": str(DEPLOYED_STYLE),
"sprite_output_dir": str(OUTPUT_SPRITE_DIR),
"pbf_output_dir": str(OUTPUT_PBF_ROOT),
**pbf_stats,
"style_version": STYLE_VERSION,
"pbf_version": PBF_VERSION,
"sprite_version": SPRITE_VERSION,
}
print(json.dumps(summary, ensure_ascii=False, indent=2))
if __name__ == "__main__":
main()