157 lines
6.3 KiB
Python
157 lines
6.3 KiB
Python
#!/usr/bin/env python3
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"""Refresh bundled Endgame team snapshots from the credited Prydwen dataset."""
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from __future__ import annotations
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import argparse
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import datetime as dt
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import json
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import pathlib
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import re
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import urllib.request
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DATASET_ROOT = "https://huggingface.co/datasets/LvlUrArti/MocDataProcessed/resolve/main"
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DATASET_API_ROOT = "https://huggingface.co/api/datasets/LvlUrArti/MocDataProcessed"
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REPOSITORY_ROOT = pathlib.Path(__file__).resolve().parents[1]
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RESOURCE_PATH = REPOSITORY_ROOT / "resources" / "PrydwenEndgameTeams.json"
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AVATAR_CONFIG_PATH = REPOSITORY_ROOT / "resources" / "AvatarConfig.json"
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MODES = ("moc", "pf", "as", "aa")
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DEFAULT_REQUEST_TYPE_ROUTES = {"2": "moc", "3": "pf", "4": "as", "5": "aa"}
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def fetch_json(url: str) -> object:
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request = urllib.request.Request(url, headers={"User-Agent": "GaC-hkrpg-go-recommendations/1.0"})
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with urllib.request.urlopen(request, timeout=30) as response:
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return json.load(response)
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def normalized(value: str) -> str:
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return "".join(char.lower() for char in value if char.isalnum())
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def latest_dataset_version(config: dict[str, dict]) -> tuple[str, dict]:
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available = []
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for version, metadata in config.items():
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date_text = metadata.get("collect_date")
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if not version[0].isdigit() or not date_text:
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continue
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try:
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collected = dt.datetime.strptime(date_text, "%d/%m/%Y").date()
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except ValueError:
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continue
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if all(isinstance(metadata.get(mode), dict) for mode in MODES):
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available.append((collected, version, metadata))
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if not available:
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raise RuntimeError("No dated source snapshot has all four Endgame modes")
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_, version, metadata = max(available)
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return version, metadata
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def avatar_index(aliases: dict[str, str]) -> tuple[set[str], dict[str, str]]:
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with AVATAR_CONFIG_PATH.open(encoding="utf-8") as source:
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config = json.load(source)
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tags = {
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normalized(entry["AvatarVOTag"])
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for entry in config.get("avatar_config", [])
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if entry.get("AvatarVOTag")
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}
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for slug, client_tag in aliases.items():
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if normalized(client_tag) in tags:
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tags.add(normalized(slug))
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return tags, aliases
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def dataset_stage_files(version: str, mode: str, tree: list[dict]) -> list[tuple[str, str]]:
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if not isinstance(tree, list):
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raise RuntimeError("Unexpected Hugging Face dataset tree shape")
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prefix = f"{version}/{mode}/comps/"
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stages = []
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for entry in tree:
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path = entry.get("path", "")
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if entry.get("type") != "file" or not path.startswith(prefix):
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continue
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match = re.fullmatch(r"(\d+-\d+)_combined\.json", pathlib.PurePosixPath(path).name)
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if match:
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stages.append((match.group(1), path))
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if not stages:
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raise RuntimeError(f"No stage team files found for {version}/{mode}")
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return sorted(stages)
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def best_compatible_team(path: str, tags: set[str], aliases: dict[str, str]) -> dict:
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rows = fetch_json(f"{DATASET_ROOT}/{path}")
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if not isinstance(rows, list):
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raise RuntimeError(f"Unexpected dataset shape in {path}")
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for row in sorted(rows, key=lambda value: value.get("rank", 1 << 30)):
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characters = [row.get(f"char_{slot}") for slot in ("one", "two", "three", "four")]
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if any(not isinstance(slug, str) or not slug for slug in characters):
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continue
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if len({normalized(slug) for slug in characters}) != 4:
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continue
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if any(normalized(aliases.get(slug, slug)) not in tags for slug in characters):
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continue
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return {"rank": int(row.get("rank", 0)), "characters": characters}
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raise RuntimeError(f"No four-character lineup in {path} maps to this Client's AvatarConfig")
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def main() -> None:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--mode", choices=("all", *MODES), default="all", help="refresh all modes or one Endgame mode")
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args = parser.parse_args()
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config = fetch_json(f"{DATASET_ROOT}/config.json")
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if not isinstance(config, dict):
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raise RuntimeError("Unexpected source config shape")
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version, version_data = latest_dataset_version(config)
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tree = fetch_json(f"{DATASET_API_ROOT}/tree/main?recursive=true&expand=false")
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if not isinstance(tree, list):
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raise RuntimeError("Unexpected Hugging Face dataset tree shape")
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previous = {}
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if RESOURCE_PATH.exists():
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with RESOURCE_PATH.open(encoding="utf-8") as source:
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previous = json.load(source)
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aliases = previous.get("avatar_aliases", {})
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tags, aliases = avatar_index(aliases)
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modes = previous.get("modes", {})
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selected_modes = MODES if args.mode == "all" else (args.mode,)
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for mode in selected_modes:
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stage_files = dataset_stage_files(version, mode, tree)
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stages = []
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for stage, path in stage_files:
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team = best_compatible_team(path, tags, aliases)
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stages.append({"stage": stage, **team})
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metadata = version_data[mode]
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modes[mode] = {
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"dataset_version": version,
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"challenge_version": metadata.get("ver"),
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"challenge_name": metadata.get("name"),
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"floor": max(int(stage["stage"].split("-")[0]) for stage in stages),
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"stages": stages,
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}
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routes = previous.get("protocol", {}).get("request_type_routes", DEFAULT_REQUEST_TYPE_ROUTES)
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output = {
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"source": {
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"name": "LvlUrArti/MocDataProcessed",
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"url": "https://huggingface.co/datasets/LvlUrArti/MocDataProcessed",
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"license": "MIT",
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"attribution": "Processed data shown on Prydwen; credit LvlUrArti",
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"dataset_version": version,
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"collect_date": dt.datetime.strptime(version_data["collect_date"], "%d/%m/%Y").date().isoformat(),
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},
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"protocol": {
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"request_type_routes": routes,
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"mapping_note": "Type 2 is retained for MoC; Types 3-5 are inferred mode routes pending Client packet confirmation.",
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},
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"avatar_aliases": aliases,
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"modes": modes,
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}
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RESOURCE_PATH.write_text(json.dumps(output, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
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print(f"Updated {', '.join(selected_modes)} from dataset {version} ({len(modes)} modes)")
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if __name__ == "__main__":
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main()
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