54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
#!/usr/bin/env python3
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from __future__ import annotations
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import argparse
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import json
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import struct
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from pathlib import Path
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IMAGE_BASE = 0x400000
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PAIRED_YEAR_VALUE_TABLE_VA = 0x005F3980
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PAIR_COUNT = 21
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TERMINAL_SCALAR_VA = 0x005F3A24
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def read_u32_table(blob: bytes, va: int, count: int) -> list[int]:
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offset = va - IMAGE_BASE
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data = blob[offset : offset + count * 4]
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if len(data) != count * 4:
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raise ValueError(f"table at {va:#x} truncated")
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return [struct.unpack("<I", data[i : i + 4])[0] for i in range(0, len(data), 4)]
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def build_artifact(exe_bytes: bytes) -> dict[str, object]:
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raw_pairs = read_u32_table(exe_bytes, PAIRED_YEAR_VALUE_TABLE_VA, PAIR_COUNT * 2)
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terminal_scalar_raw = read_u32_table(exe_bytes, TERMINAL_SCALAR_VA, 1)[0]
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entries = []
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for year, value in zip(raw_pairs[::2], raw_pairs[1::2]):
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entries.append({"year": year, "value": float(value)})
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return {
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"source_kind": "rt3.exe-static-table",
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"reader_family": "world_refresh_selected_year_bucket_scalar_band",
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"table_virtual_address": f"0x{PAIRED_YEAR_VALUE_TABLE_VA:08x}",
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"pair_count": PAIR_COUNT,
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"terminal_scalar_virtual_address": f"0x{TERMINAL_SCALAR_VA:08x}",
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"terminal_scalar_value": float(terminal_scalar_raw),
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"entries": entries,
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}
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def main() -> int:
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parser = argparse.ArgumentParser(
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description="Extract the selected-year bucket ladder used by RT3 world year refresh."
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)
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parser.add_argument("exe", type=Path, help="Path to RT3.exe")
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parser.add_argument("output", type=Path, help="Output JSON path")
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args = parser.parse_args()
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artifact = build_artifact(args.exe.read_bytes())
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args.output.write_text(json.dumps(artifact, indent=2) + "\n", encoding="utf-8")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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