82 lines
2.1 KiB
Python
82 lines
2.1 KiB
Python
import os
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import re
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from pathlib import Path
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from fastapi import APIRouter
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from pydantic import BaseModel
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router = APIRouter()
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SOURCES_DIR = Path(os.environ.get("SOURCES_DIR", "/data/sources"))
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PAGES_DIR = Path(os.environ.get("PAGES_DIR", "/data/pages"))
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# Matches markdown links: [text](slug) where slug has no protocol or path separators
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_INTERNAL_LINK = re.compile(r"\[([^\]]+)\]\(([a-zA-Z0-9_-]+)\)")
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class GraphNode(BaseModel):
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id: str
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published: bool
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title: str | None = None
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class GraphEdge(BaseModel):
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source: str
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target: str
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class GraphData(BaseModel):
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nodes: list[GraphNode]
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edges: list[GraphEdge]
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def _all_page_names() -> set[str]:
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names: set[str] = set()
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if PAGES_DIR.is_dir():
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for f in PAGES_DIR.iterdir():
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if f.suffix == ".mu" and f.is_file():
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names.add(f.stem)
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if SOURCES_DIR.is_dir():
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for f in SOURCES_DIR.iterdir():
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if f.suffix == ".md" and f.is_file():
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names.add(f.stem)
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return names
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def _extract_title(markdown: str) -> str | None:
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for line in markdown.splitlines():
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stripped = line.strip()
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if stripped.startswith("# "):
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return stripped[2:].strip()
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return None
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@router.get("/graph", response_model=GraphData)
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async def get_graph():
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all_names = _all_page_names()
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nodes: list[GraphNode] = []
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edges: list[GraphEdge] = []
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for name in sorted(all_names):
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md_path = SOURCES_DIR / f"{name}.md"
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mu_path = PAGES_DIR / f"{name}.mu"
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title = None
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if md_path.is_file():
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content = md_path.read_text(encoding="utf-8")
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title = _extract_title(content)
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# Parse internal links
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for match in _INTERNAL_LINK.finditer(content):
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target = match.group(2)
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if target in all_names:
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edges.append(GraphEdge(source=name, target=target))
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nodes.append(GraphNode(
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id=name,
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published=mu_path.is_file(),
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title=title,
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))
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return GraphData(nodes=nodes, edges=edges)
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