2e23ad5d2f
- window_capture.py: enumerate top-level windows (pygetwindow) and capture a specific one via PrintWindow PW_RENDERFULLCONTENT (works on non-focused windows). Linux falls back to mss region grab. - recognizer.py: replace MAE matcher with NCC over numpy vectors. Each rotatable slab generates 4 templates (0/90/180/270). Adds 248 artifact templates and an empty-cell heuristic (low mean/std-dev). Cells below confidence floor are tagged "unknown" — likely merged "?" boxes. - gui.py: new ScreenshotFrame with [게임 창 선택] button → window picker dialog → bbox crop → recognize → editable preview grid with per-cell CellEditor that handles slab / artifact / merged(?) / empty. Merged cells let user pick which two slabs got combined + a level. - artifacts.py + bundled _artifacts.json (248 entries from WhiteDog1004/sephiria) for matching and rendering. - renderer.py: factored CDN fetch into _fetch_image; added fetch_artifact_image(). - requirements.txt: + numpy, pygetwindow (Win), pywin32 (Win). - docker-build-cmd.sh: upgrade PyInstaller to 5.x inside cdrx container so numpy DLL manifest reads work. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
"""Artifact catalog parsed from WhiteDog1004/sephiria's artifacts.json.
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Each entry exposes the fields we actually need for icon matching and
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rendering: value (canonical key), Korean label, tier, and the CDN image URL.
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The full effect text / description is kept opaque — the matcher only cares
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about the image, and effects are not applied to the optimizer (slab effects
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only, per existing design).
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"""
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from __future__ import annotations
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import json
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from dataclasses import dataclass
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from importlib import resources
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from typing import Dict, List, Optional
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@dataclass(frozen=True)
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class Artifact:
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value: str
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ko_label: str
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eng_label: str
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tier: str # common / advanced / rare / legend / solid
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image: str # CDN URL
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level: int # max level (0 = unique / non-leveling)
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def _load() -> List[Artifact]:
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try:
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text = resources.files(__package__).joinpath("_artifacts.json").read_text(
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encoding="utf-8"
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)
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except Exception:
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return []
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data = json.loads(text)
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out: List[Artifact] = []
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for row in data:
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if row.get("disabled"):
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continue
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out.append(
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Artifact(
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value=row["value"],
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ko_label=row.get("label_kor") or row["value"],
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eng_label=row.get("label_eng") or row["value"],
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tier=row.get("tier") or "common",
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image=row.get("image") or "",
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level=int(row.get("level") or 0),
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)
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)
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return out
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ARTIFACTS: List[Artifact] = _load()
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ARTIFACTS_BY_VALUE: Dict[str, Artifact] = {a.value: a for a in ARTIFACTS}
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def get(value: str) -> Optional[Artifact]:
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return ARTIFACTS_BY_VALUE.get(value)
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