#!/usr/bin/env python3
"""文章迁移(Phase 2 T2):Halo 渲染页 → content/posts/*.md
正文源用线上渲染页(reader 看到的即所得)——实测 DB snapshots 对
shu-zui/ni-tan 只有 2 字符(patch 残迹),而渲染页完整。
处理链:抓 /archives/{slug} → 剥主题噪音(button/nav/header) → 图片
/upload/* 下载到 content/posts/assets/{slug}/ 并改写引用 → pandoc
html→gfm → frontmatter(分类/标签沿用 Halo,书评分配五档情绪色)。
"""
import html as htmllib
import json
import re
import subprocess
import urllib.request
from pathlib import Path
BASE = "http://127.0.0.1:18090"
ROOT = Path(".")
ASSETS = ROOT / "content" / "posts" / "assets"
# 书评五档情绪色(tokens --mood-1..5);技术文不分配
MOODS = ["#b45309", "#0f766e", "#7c3aed", "#9f1239", "#166534"]
# Halo 分类名 → 集合枚举
CAT_MAP = {"Reading": "reading", "Linux": "tech", "默认分类": "tech"}
def fetch(url: str) -> bytes:
with urllib.request.urlopen(url, timeout=30) as r:
return r.read()
def article_html(slug: str) -> str:
page = fetch(f"{BASE}/archives/{slug}").decode("utf-8")
m = re.search(r"]*>(.*?)", page, re.S)
if not m:
raise RuntimeError(f"no article for {slug}")
body = m.group(1)
# 主题噪音:higan 主题把主题切换钮等塞进 article;标题在 frontmatter 重建,正文 h1 去重
body = re.sub(r"", "", body, flags=re.S)
body = re.sub(r"]*>.*?.*?", "", body, count=1, flags=re.S)
return body
def localize_images(slug: str, body: str) -> str:
def repl(m: re.Match) -> str:
src = m.group(1)
if not src.startswith("/upload/"):
return m.group(0)
dest_dir = ASSETS / slug
dest_dir.mkdir(parents=True, exist_ok=True)
fname = src.rsplit("/", 1)[1]
data = fetch(BASE + src)
(dest_dir / fname).write_bytes(data)
return m.group(0).replace(src, f"./assets/{slug}/{fname}")
return re.sub(r'src="([^"]+)"', repl, body)
def to_markdown(body: str) -> str:
p = subprocess.run(
["/home/wait4x/.local/bin/pandoc", "-f", "html", "-t", "gfm-raw_html", "--wrap=none"],
input=body.encode(), capture_output=True, check=True,
)
return p.stdout.decode("utf-8")
def load_tag_display() -> dict[str, str]:
"""内部标签名(tag-xxx) → 显示名(read/linux/...)。"""
with urllib.request.urlopen(BASE + "/apis/api.content.halo.run/v1alpha1/tags") as r:
data = json.loads(r.read())
return {t["metadata"]["name"]: t["spec"]["displayName"] for t in data.get("items", [])}
def main() -> int:
posts = json.load(open(".migration/posts.json", encoding="utf-8"))
tag_disp = load_tag_display()
mood_i = 0
report = []
for p in posts:
spec = p["spec"]
slug = spec["slug"]
tags = [tag_disp.get(t, t) if isinstance(t, str) else t.get("name", "") for t in (spec.get("tags") or [])]
cat_raw = spec.get("category") or ""
# 分类判定:Halo 分类名优先,回退看标签(read→reading / linux→tech)
if CAT_MAP.get(cat_raw):
category = CAT_MAP[cat_raw]
elif any("read" in t.lower() for t in tags):
category = "reading"
else:
category = "tech"
mood = None
if category == "reading":
mood = MOODS[mood_i % len(MOODS)]
mood_i += 1
body = localize_images(slug, article_html(slug))
md = to_markdown(body).strip()
md = re.sub(r"^(-{4,}|_{4,})\s*", "", md) # 原 hr 开头去掉(frontmatter 后首元素应是正文)
fm = [
"---",
f'title: "{htmllib.escape(spec["title"], quote=False)}"',
f"pubDate: {spec['publishTime'][:10]}",
f"category: {category}",
f"tags: [{', '.join(tags)}]",
]
if mood:
fm.append(f"mood: '{mood}'")
fm.append("---")
out = ROOT / "content" / "posts" / f"{slug}.md"
out.write_text("\n".join(fm) + "\n\n" + md + "\n", encoding="utf-8")
n_img = len(list((ASSETS / slug).glob("*"))) if (ASSETS / slug).exists() else 0
report.append((slug, category, len(md), n_img))
print(f" {slug} [{category}] {len(md)} md-chars, {n_img} imgs")
# 清理被真实内容取代的样例文件(真实技术文 slug=csge-lei-pei-zhi,样例为 cs-ge-lei-pei-zhi)
sample = ROOT / "content" / "posts" / "cs-ge-lei-pei-zhi.md"
if sample.exists():
sample.unlink()
print(" removed sample: cs-ge-lei-pei-zhi.md")
print(f"migrated {len(report)} posts")
return 0
if __name__ == "__main__":
raise SystemExit(main())