502971d147
Files changed: - .gitea/workflows/ci.yml - .wikitool-kb.json - AGENTS.md - CHANGES.md - INSTALL.md - README.md - VERSION - instructions/CONTRACT.md - instructions/dev/testing-conventions.md - instructions/german-terminology.md - instructions/kb-profiles.md - instructions/migrations/3.0.0-authoring-conventions.md - instructions/private-instance.md - instructions/setup-instance.md - instructions/wiki-ingest/SKILL.md - instructions/wiki-manage/SKILL.md - kb/CONTRACT.md - kb/CONVENTIONS.md - kb/CONVENTIONS.md.template - kb/comparisons/COLLECTION.md - kb/concepts/COLLECTION.md - kb/entities/COLLECTION.md - kb/sources/COLLECTION.md - tools/CONTRACT.md - tools/README.md - tools/chemenu/commands/dist_cmd.py - tools/chemenu/commands/docs_verify.py - tools/chemenu/commands/doctor.py - tools/chemenu/commands/new_page.py - tools/chemenu/conventions.py - tools/chemenu/kb_collections.py - tools/chemenu/kb_scan.py - tools/chemenu/provenance.py - tools/chemenu/sections.py - tools/chemenu/tests/conftest.py - tools/chemenu/tests/test_conventions.py - tools/chemenu/tests/test_dist_cmd.py - tools/chemenu/tests/test_doctor.py - tools/chemenu/tests/test_new_page.py - tools/chemenu/tests/test_types_cmd.py - types/comparison.md - types/concept.md - types/entity.md - types/source.md - types/type-spec.md
136 lines
5.4 KiB
Python
136 lines
5.4 KiB
Python
"""Scan kb/ into Page objects and build the wikilink graph."""
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from __future__ import annotations
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import re
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from collections import Counter
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from pathlib import Path
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from typing import Iterator
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from chemenu.frontmatter_io import read_page
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from chemenu.markdown_code import strip_code_spans
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from chemenu.page import Page
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WIKILINK_RE = re.compile(r"\[\[([^\]|#]+)")
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# Root-level files under kb/ that are not pages: the generated catalog map, log
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# and provenance index, plus the two documents that constrain the tree rather
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# than living in it - the stack's contract and this instance's own conventions.
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_KB_META_FILES = {"index.md", "log.md", "provenance.md", "CONTRACT.md", "CONVENTIONS.md"}
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# The per-collection authoring contract. Unlike the meta files above it is never
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# at the kb root - it sits one level down, in every collection - so it has to be
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# excluded by name at any depth rather than by parent directory.
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_COLLECTION_CONTRACT = "COLLECTION.md"
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# The generated per-collection/per-area catalog shard. Excluded by name at any
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# depth for the same reason as the contract, and for one more: it lists every
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# page in its subtree as a wikilink, so treating it as a page would make every
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# page look linked-to and silence the orphan check entirely.
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GENERATED_INDEX = "INDEX.md"
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def is_page_path(relative: str) -> bool:
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"""Whether a `kb/`-relative path names a page rather than routing material.
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Stated over a plain path, not a filesystem entry, so callers that read a
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*past* revision out of git can apply the identical rule - `migrate verify`
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does. Two different answers to "is this a page" would report every
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COLLECTION.md and INDEX.md as a page that has since disappeared.
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"""
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parts = relative.split("/")
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if parts[-1] in (_COLLECTION_CONTRACT, GENERATED_INDEX):
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return False
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if len(parts) == 1 and parts[0] in _KB_META_FILES:
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return False
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return parts[-1].endswith(".md")
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def iter_kb_pages(kb_dir: Path) -> Iterator[Path]:
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"""Yield every page under kb_dir.
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Three kinds of file are skipped: the kb-root meta files (generated catalog,
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log, provenance, and the kb contract), every COLLECTION.md, and every
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generated INDEX.md. None carry page frontmatter. A README.md *inside* a
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collection is an ordinary page - only kb-root files are routing material.
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"""
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for path in sorted(kb_dir.rglob("*.md")):
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if is_page_path(path.relative_to(kb_dir).as_posix()):
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yield path
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def load_kb_pages(kb_dir: Path) -> dict[str, Page]:
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"""Load every markdown page under kb_dir, keyed by title (filename stem).
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If two files share a stem (a naming collision), the later one (by sorted
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path order) wins here; `wikitool lint` explicitly detects and reports such
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collisions so they don't go unnoticed.
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"""
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pages: dict[str, Page] = {}
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for path in iter_kb_pages(kb_dir):
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frontmatter, body = read_page(path)
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pages[path.stem] = Page(path=path, frontmatter=frontmatter, body=body)
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return pages
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def find_duplicate_title_paths(kb_dir: Path, root: Path) -> list[dict]:
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"""Return stem collisions as {"stem": str, "paths": [str, ...]}.
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Paths are repo-root-relative and sorted for stable output.
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"""
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by_stem: dict[str, list[str]] = {}
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for path in iter_kb_pages(kb_dir):
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try:
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rel = str(path.relative_to(root))
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except ValueError:
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rel = str(path.relative_to(kb_dir.parent))
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by_stem.setdefault(path.stem, []).append(rel)
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return [
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{"stem": stem, "paths": sorted(paths)}
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for stem, paths in sorted(by_stem.items())
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if len(paths) > 1
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]
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def extract_wikilinks(body: str) -> set[str]:
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"""Which pages this body links to, as a set.
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The right shape for `lint` and the link graph, whose question is "does
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this reference resolve" - asked once per distinct target. It is the wrong
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shape for asking whether a rewrite *dropped* a link: use
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`count_wikilinks` for that.
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Code is masked out first (see markdown_code.strip_code_spans): a
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`[[Wikilink]]` shown inside a fence or backticks is an example of the
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notation, and counting it made a page that documents the wiki look like it
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linked to something that need not exist.
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"""
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return {m.group(1).strip() for m in WIKILINK_RE.finditer(strip_code_spans(body))}
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def count_wikilinks(body: str) -> Counter[str]:
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"""How often this body links to each page.
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The counting sibling of `extract_wikilinks`, and the reason it exists: a
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page citing `[[X]]` twice that comes back citing it once has the same link
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*set* and a different link *multiset*. Three of the four defects found in
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the 248-page German translation were exactly that shape, and a set-based
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comparison reported all three as clean.
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"""
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return Counter(m.group(1).strip() for m in WIKILINK_RE.finditer(strip_code_spans(body)))
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def build_link_graph(pages: dict[str, Page]) -> dict[str, set[str]]:
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"""Map each page title to the set of titles it links to."""
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return {title: extract_wikilinks(page.body) for title, page in pages.items()}
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def inbound_links(graph: dict[str, set[str]]) -> dict[str, set[str]]:
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"""Map each page title to the set of titles that link to it."""
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inbound: dict[str, set[str]] = {title: set() for title in graph}
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for source, targets in graph.items():
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for target in targets:
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if target in inbound:
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inbound[target].add(source)
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return inbound
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