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import os
import re
import json
from urllib.parse import urlparse
from collections import Counter
content_dir = "content"
internal_link_pattern = re.compile(r"\[[^\]]*\]\((/[^)]+)\)")
markdown_link_re = re.compile(r"\[.*?\]\((http.*?)\)")
url_map = {} # file path -> canonical url
alias_map = {} # alias url -> canonical url
link_graph = {} # canonical url -> list of canonical urls
title_map = {} # canonical url -> title
external_links = Counter()
def parse_frontmatter(filepath):
with open(filepath, encoding="utf-8") as f:
lines = f.readlines()
if not lines or lines[0].strip() != "---":
return {}, 0
frontmatter = {}
aliases, related_cards, mentioned_books = [], [], []
slug, draft, title = None, False, None
i = 1
while i < len(lines):
line = lines[i].strip()
if line == "---":
break
if ":" in line:
key, value = line.split(":", 1)
key = key.strip()
value = value.strip().strip('"').strip("'")
if key == "aliases":
aliases = []
i += 1
while i < len(lines) and lines[i].startswith(" - "):
aliases.append(lines[i].strip()[3:].strip())
i += 1
continue
elif key == "slug":
slug = value
elif key == "draft":
draft = value.lower() == "true"
elif key == "title":
title = value
elif key == "related_cards":
related_cards = []
i += 1
while i < len(lines) and lines[i].strip().startswith("- "):
related_cards.append(lines[i].strip()[2:].strip())
i += 1
continue
elif key == "mentioned_books":
mentioned_books = []
i += 1
while i < len(lines) and lines[i].strip().startswith("- "):
mentioned_books.append(lines[i].strip()[2:].strip())
i += 1
continue
i += 1
return {
"slug": slug,
"aliases": aliases,
"draft": draft,
"title": title,
"related_cards": related_cards,
"mentioned_books": mentioned_books
}, i + 1
def get_canonical_url(filepath, frontmatter):
rel_path = os.path.relpath(filepath, content_dir)
dirname, filename = os.path.split(rel_path)
name = os.path.splitext(filename)[0]
slug = frontmatter.get("slug") or name
parts = dirname.split(os.sep)
return f"/{'/'.join(parts)}/{slug}/" if parts != [""] else f"/{slug}/"
def resolve_url(url):
return alias_map.get(url, url)
def resolve_url_from_dir(link, subdir):
target_dir = os.path.join(content_dir, subdir)
for path, canonical in url_map.items():
if path.startswith(target_dir):
name = os.path.splitext(os.path.basename(path))[0]
if name == link:
return canonical
return None
def get_icon(url):
if url.startswith("/cards/"): return "📄"
if url.startswith("/posts/"): return "📜"
if url.startswith("/library/"): return "📖"
if url.startswith("/fictions/"): return "🧙♀️"
if url.startswith("/en/"): return "🇬🇧"
return "📁"
def collect_urls():
for root, _, files in os.walk(content_dir):
for file in files:
if not file.endswith(".md") or file == "_index.md":
continue
path = os.path.join(root, file)
frontmatter, _ = parse_frontmatter(path)
if frontmatter.get("draft"):
continue
canonical_url = get_canonical_url(path, frontmatter)
url_map[path] = canonical_url
link_graph[canonical_url] = []
title = frontmatter.get("title") or canonical_url.strip("/").split("/")[-1]
title_map[canonical_url] = f"{get_icon(canonical_url)} {title}"
for alias in frontmatter.get("aliases", []):
alias_map[alias] = canonical_url
def build_link_graph_and_external_links():
for path, canonical_url in url_map.items():
with open(path, encoding="utf-8") as f:
content = f.read()
# 内部链接
for match in internal_link_pattern.finditer(content):
link = match.group(1)
normalized = resolve_url(link)
if normalized and normalized in link_graph:
link_graph[canonical_url].append(normalized)
# 外部链接
for match in markdown_link_re.findall(content):
domain = urlparse(match).netloc
if domain and domain not in {"image.guhub.cn", "www.geedea.pro"}:
external_links[domain] += 1
# 相关卡片和图书
frontmatter, _ = parse_frontmatter(path)
for card in frontmatter.get("related_cards", []):
target = resolve_url_from_dir(card, "cards")
if target and target in link_graph:
link_graph[canonical_url].append(target)
for book in frontmatter.get("mentioned_books", []):
target = resolve_url_from_dir(book, "library")
if target and target in link_graph:
link_graph[canonical_url].append(target)
def main():
collect_urls()
build_link_graph_and_external_links()
# 写入内部链接图
os.makedirs("public", exist_ok=True)
nodes = [{"id": url, "label": title_map[url], "url": url} for url in link_graph]
edges = [{"from": src, "to": tgt} for src, targets in link_graph.items() for tgt in targets]
with open("public/link-graph.json", "w", encoding="utf-8") as f:
json.dump({"nodes": nodes, "edges": edges}, f, indent=2, ensure_ascii=False)
print("✅ Link graph generated: public/link-graph.json")
# 写入外部链接统计
os.makedirs("data", exist_ok=True)
with open("data/externallinks.json", "w", encoding="utf-8") as f:
json.dump(external_links.most_common(), f, indent=2, ensure_ascii=False)
print("✅ External link data written to data/externallinks.json")
if __name__ == "__main__":
main()
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