wait4xandGLM-5.3
aea21c8694
- 正文源=线上渲染页（Halo 快照层 patch 残迹：泥潭/赎罪仅 2 字符），
pandoc html→gfm + tags API 显示名换算后分类：5 书评（五档情绪色）+1 技术
- 图库 21 张：长边 2400/q86 压缩入仓（原图 196M→9.5M——公开仓历史膨胀
与 nginx 100M 推送上限双杀；原图在 Phase 0 备份 tar 中永久留档）
- 瞬间 1 条；URL 1:1（6 slug 全等，零 301）
- 本提交由 7 个本地提交重写而成（清除已进历史的 196M blob，未推送过）；
因 reset --soft 暂存竞态，一并包含 spec 归档文件
（.spec/specs/archive/2026-10-24_migrate-blog-content/）
验证: check_urls.py 6==6；astro build 11 页 exit 0（8.67s）；
EXIF 管线跑通；staging 更新；halo healthy+200 全程未动
Co-authored-by: GLM-5.3
79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
#!/usr/bin/env python3
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"""图库迁移（Phase 2 T3）：Halo photos → content/photos/{jpg,json sidecar}
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EXIF 不在迁移时提——构建期 photos loader（src/lib/exif.ts）会补全；
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sidecar 里 exif 留空对象。分组：Halo displayName 含山/雪/land/snow →
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landscape，否则 street（当前仅一组 snow mountain → landscape）。
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"""
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import json
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import re
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import urllib.request
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from pathlib import Path
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from urllib.parse import unquote
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BASE = "http://127.0.0.1:18090"
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OUT = Path("content/photos")
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def slugify(name: str) -> str:
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stem = re.sub(r"\.(jpg|jpeg|png|webp)$", "", name, flags=re.I)
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stem = re.sub(r"[^0-9A-Za-z\u4e00-\u9fff-]+", "-", stem).strip("-")
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return stem or "photo"
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def group_of(display: str) -> str:
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low = display.lower()
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return "landscape" if any(k in low for k in ("山", "雪", "snow", "land", "mountain")) else "street"
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def compress(data: bytes) -> bytes:
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from io import BytesIO
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from PIL import Image
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img = Image.open(BytesIO(data))
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if img.mode not in ("RGB", "L"):
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img = img.convert("RGB")
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img.thumbnail((2400, 2400))
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buf = BytesIO()
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img.save(buf, "JPEG", quality=86, optimize=True)
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return buf.getvalue()
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def main() -> int:
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# 真实照片取代样例：先清样例（jpg/json 成对；仅清本脚本管辖的产物）
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for f in OUT.glob("*"):
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if f.suffix in (".jpg", ".json"):
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f.unlink()
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photos = json.load(open(".migration/photos.json", encoding="utf-8"))
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n = 0
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for p in photos:
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spec = p["spec"]
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url = spec.get("url") or spec.get("cover") or ""
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if not url.startswith("/upload/"):
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print(f" skip 非本站图: {url[:60]}")
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continue
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fname = unquote(url.rsplit("/", 1)[1])
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slug = slugify(spec.get("displayName") or fname)
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data = urllib.request.urlopen(BASE + url, timeout=60).read()
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# 入仓前压到长边 2400/q86：原图总计 196M（单张最大 28M）会永久膨胀
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# 公开仓历史并撞死 nginx 100M 推送上限；原图已随 Phase 0 备份归档，
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# 站内展示由 sharp 出 srcset，2400px 足够 lightbox 全屏
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(OUT / f"{slug}.jpg").write_bytes(compress(data))
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(OUT / f"{slug}.json").write_text(json.dumps({
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"title": spec.get("displayName", fname).rsplit(".", 1)[0],
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"image": f"./{slug}.jpg",
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"group": group_of(spec.get("groupName", "")),
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"alt": spec.get("description", ""),
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"exif": {},
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}, ensure_ascii=False, indent=1))
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n += 1
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print(f"migrated {n} photos")
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return 0 if n else 1
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if __name__ == "__main__":
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raise SystemExit(main())
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