v0.29.0: #28 Parts 2+3 — create-RFC offers + contribute-to-pending requests
Extends the v0.26.0 (#28 Part 1) read-time scanner into three buckets in one pass — active link (Part 1), pending-RFC contribute offer (Part 3), create-RFC offer (Part 2) — precedence active > pending > candidate. The backend still emits only structured segments (never HTML), so the surface stays XSS-safe by construction. Part 2 — create-RFC offers: a multi-word tag from the #27 taxonomy with no defining RFC renders, for a create-rights viewer, as an inline "+ create RFC" affordance that opens the propose modal pre-filled (?propose=<term>; ProposeModal gained initialTitle). Conservative multi-word gate; broader heuristics + the Haiku path are deferred. Part 3 — contribute-to-pending offers: a term matching a super-draft renders, for a signed-in non-owner, an "ask to contribute" affordance with the owner's display name. It opens a 3-field request form (who/why/optional use-case); submitting lands a contribution_requests row (migration 024) and one actionable §15 notification per owner (new kind contribution_request_on_pending_rfc, personal-direct). The owner's inbox shows who/why/use-case inline with Accept/Decline. Accept fires #12's owner-invite flow with the requester as invitee and echoes a notification back; decline notifies the requester. Pre-merge idea PRs are out of scope. New endpoints: GET /api/rfcs/{slug}/contribution-target, POST /api/rfcs/{slug}/contribution-requests, .../{id}/accept, .../{id}/decline. The invite issue path was refactored into one reusable api_invitations.issue_invitation(...) chokepoint shared by the manual invite endpoint and Part 3's accept. Tests: 9 new (3 scanner-bucket unit + 6 e2e). Full suite 374 passing. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -1,43 +1,95 @@
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"""Roadmap #28 Part 1 — auto-link RFC references in submitted prose.
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"""Roadmap #28 — scan submitted prose for RFC-shaped references.
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Scans plain-text PR descriptions and comment bodies for references to
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existing **accepted** (state='active') RFCs and returns a structured list
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The scanner splits a plain-text PR description / comment body into a list
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of *segments* the frontend renders: plain-text runs interleaved with
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``{"type": "rfc", ...}`` link segments. The backend never emits HTML —
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the frontend maps link segments onto React anchors — so the surface is
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XSS-safe by construction and independent of any HTML-sanitization layer.
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typed link segments. The backend never emits HTML — the frontend maps
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each segment onto a React node — so the surface is XSS-safe by
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construction and independent of any HTML-sanitization layer.
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**Read-time enrichment, not submit-time persistence.** The roadmap row
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phrases the scan as happening "at submit/post time"; this module instead
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enriches on read. The intent the roadmap actually names — "not as live
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compose preview" — is honored (drafts are never scanned, only submitted
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content on the read paths). Read-time was chosen for three reasons:
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Three buckets, one scan (Parts 1–3):
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1. Correctness — links track the *live* active-RFC set. A newly-accepted
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RFC starts linking in older comments; a withdrawn RFC stops linking
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everywhere. Submit-time freezing would drift stale.
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2. Zero migration — no derived data to store. (A concurrent session
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already holds migration 023; staying migration-free keeps this slice
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conflict-free as well as simpler.)
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3. Cost — the active-RFC corpus is small and cache-resident, so building
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the term index and scanning a ≤20k-char body per read is cheap.
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* ``{"type": "rfc", ...}`` — Part 1. The term matches an
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**accepted** (``state='active'``) RFC; renders as a link to it.
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* ``{"type": "rfc-pending", ...}`` — Part 3. The term matches a
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**pending** RFC — a super-draft (``state='super-draft'``: accepted
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as an idea but not yet graduated to an active RFC) — which has an
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owner and a contribution surface. Renders as an "ask to contribute"
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affordance carrying the owner's display name.
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* ``{"type": "rfc-candidate", ...}`` — Part 2. The term is a
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strong-candidate that does **not** yet have a defining RFC. Renders
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(for a viewer with create rights) as a "create RFC for '<term>'"
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affordance that pre-fills the propose flow.
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**Matching is conservative by design.** Only references that are unlikely
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to be coincidental link:
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Precedence at any position is active > pending > candidate, then
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longest-match-first — an active link always wins over a contribute offer
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which always wins over a create offer for the same span.
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**Read-time enrichment, not submit-time persistence** (unchanged from
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Part 1): drafts are never scanned, only submitted content on the read
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paths, so links/offers track the *live* corpus. The active-RFC corpus,
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super-draft corpus, and tag taxonomy are all small and cache-resident,
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so building the index and scanning a ≤20k-char body per read is cheap.
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**Matching stays conservative by design.** A reference links/offers only
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when it is unlikely to be coincidental:
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* ``rfc_id`` tokens (e.g. ``RFC-0001``) — inherently specific.
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* Multi-word titles (containing whitespace, e.g. ``Open Human Model``).
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* Hyphenated slugs (containing ``-``, e.g. ``open-human-model``).
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Single common-word titles or slugs (e.g. a hypothetical RFC titled
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"Human") are deliberately NOT auto-linked — they would turn every prose
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"human" into a link. Surfacing those is the job of the roadmap's
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"curated canonical-terms list", an explicit per-deployment opt-in left as
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a future extension rather than guessed at here.
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Single common-word titles/slugs are deliberately NOT matched — they
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would turn every prose occurrence into an affordance.
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**Part 2 candidate heuristic.** A candidate term is a **multi-word tag**
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from the #27 tag taxonomy (the de-facto set of tags the corpus already
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carries) that has no defining RFC (no active or super-draft RFC whose
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slug or title is that term). Multi-word is the same false-positive guard
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the title rule uses: a single common tag word (``identity``) would be
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far too noisy. Broader candidate detection — capitalized multi-word
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phrases mined from the text, terms repeated across recently-touched PRs,
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or the #27 Haiku (``ANTHROPIC_API_KEY``) pathway — is a sanctioned but
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deferred extension; the conservative tag-taxonomy heuristic is chosen
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here to match Part 1's false-positive-averse philosophy.
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"""
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from __future__ import annotations
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from typing import Any, Iterable
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import json
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import re
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from typing import Any, Iterable, NamedTuple
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class Term(NamedTuple):
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"""One match key plus what to emit when it hits.
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``key`` is the lowercase span to match (word-boundary, longest-first).
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``kind`` is ``'active' | 'pending' | 'candidate'`` and selects the
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emitted segment shape. ``slug``/``title`` carry the target RFC (active
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+ pending); ``owner`` is the pending RFC's owner display name;
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``term`` is the candidate's canonical display spelling.
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"""
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key: str
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kind: str = "active"
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slug: str = ""
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title: str = ""
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owner: str = ""
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term: str = ""
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# Lower number = higher precedence when two keys of equal length match at
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# the same position. A real link beats a contribute offer beats a create
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# offer.
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_KIND_PRIORITY = {"active": 0, "pending": 1, "candidate": 2}
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def _coerce(t: Term | tuple) -> Term:
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"""Accept the legacy ``(key, slug, title)`` 3-tuple (treated as an
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active term) alongside :class:`Term`, so direct unit-test callers and
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older call sites keep working."""
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if isinstance(t, Term):
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return t
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key, slug, title = t # legacy active 3-tuple
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return Term(key=key, kind="active", slug=slug, title=title)
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def _is_word_char(c: str) -> bool:
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@@ -46,18 +98,37 @@ def _is_word_char(c: str) -> bool:
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return c.isalnum() or c in ("-", "_")
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def segment_text(text: str | None, terms: list[tuple[str, str, str]]) -> list[dict[str, Any]]:
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"""Split ``text`` into text / rfc-link segments against ``terms``.
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def _emit(term: Term, label: str) -> dict[str, Any]:
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"""The segment dict for a matched ``term``; ``label`` preserves source
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casing."""
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if term.kind == "pending":
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return {
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"type": "rfc-pending",
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"slug": term.slug,
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"label": label,
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"title": term.title,
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"owner": term.owner,
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}
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if term.kind == "candidate":
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return {"type": "rfc-candidate", "label": label, "term": term.term}
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return {"type": "rfc", "slug": term.slug, "label": label, "title": term.title}
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``terms`` is a list of ``(key_lower, slug, title)`` tuples; callers
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pass it pre-sorted longest-first so the longest match wins at any
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position (so "Open Human Model" wins over a bare "Open"). Matching is
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case-insensitive and respects word boundaries on both ends. The
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returned ``label`` preserves the source casing.
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def segment_text(text: str | None, terms: Iterable[Term | tuple]) -> list[dict[str, Any]]:
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"""Split ``text`` into text / link segments against ``terms``.
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``terms`` are :class:`Term` objects (or legacy ``(key, slug, title)``
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active 3-tuples). Matching is case-insensitive, respects word
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boundaries on both ends, and prefers the longest key — then higher
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:data:`_KIND_PRIORITY` — at any position.
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Always returns at least one segment; for empty/None input that is a
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single empty text segment, so callers can render uniformly.
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"""
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ordered = sorted(
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(_coerce(t) for t in terms),
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key=lambda t: (-len(t.key), _KIND_PRIORITY.get(t.kind, 9)),
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)
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if not text:
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return [{"type": "text", "text": text or ""}]
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@@ -67,28 +138,23 @@ def segment_text(text: str | None, terms: list[tuple[str, str, str]]) -> list[di
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n = len(text)
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i = 0
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while i < n:
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match: tuple[str, str, str, int] | None = None
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for key, slug, title in terms:
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klen = len(key)
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if klen == 0 or not low.startswith(key, i):
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match: tuple[Term, int] | None = None
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for term in ordered:
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klen = len(term.key)
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if klen == 0 or not low.startswith(term.key, i):
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continue
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before = text[i - 1] if i > 0 else ""
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after = text[i + klen] if i + klen < n else ""
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if _is_word_char(before) or _is_word_char(after):
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continue
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match = (key, slug, title, klen)
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match = (term, klen)
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break
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if match is not None:
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_key, slug, title, klen = match
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term, klen = match
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if buf:
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out.append({"type": "text", "text": "".join(buf)})
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buf = []
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out.append({
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"type": "rfc",
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"slug": slug,
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"label": text[i:i + klen],
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"title": title,
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})
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out.append(_emit(term, text[i:i + klen]))
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i += klen
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else:
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buf.append(text[i])
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@@ -99,8 +165,8 @@ def segment_text(text: str | None, terms: list[tuple[str, str, str]]) -> list[di
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def _keys_for(slug: str, title: str, rfc_id: str | None) -> Iterable[str]:
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"""The match keys an active RFC contributes. See the module docstring
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for why each gate exists (conservative, false-positive-averse)."""
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"""The match keys an RFC contributes. See the module docstring for why
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each gate exists (conservative, false-positive-averse)."""
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if rfc_id:
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rid = rfc_id.strip()
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if len(rid) >= 2:
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@@ -117,13 +183,23 @@ def _keys_for(slug: str, title: str, rfc_id: str | None) -> Iterable[str]:
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yield s.lower()
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def _slugify(term: str) -> str:
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"""Deterministic kebab-case — mirrors the propose modal's slugify so a
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tag's would-be slug compares correctly against existing RFC slugs."""
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return re.sub(r"-+$", "", re.sub(r"^-+", "", re.sub(r"[^a-z0-9]+", "-", term.lower().strip())))
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class LinkIndex:
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"""A reusable term index built once per request and applied to many
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bodies (a PR's description plus every comment on it)."""
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def __init__(self, terms: list[tuple[str, str, str]]):
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# Longest key first so the longest reference wins at each position.
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self._terms = sorted(terms, key=lambda t: len(t[0]), reverse=True)
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def __init__(self, terms: Iterable[Term | tuple]):
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# Coerce + order once; segment_text re-sorts defensively but a
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# pre-sorted list keeps the per-body cost to the scan itself.
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self._terms: list[Term] = sorted(
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(_coerce(t) for t in terms),
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key=lambda t: (-len(t.key), _KIND_PRIORITY.get(t.kind, 9)),
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)
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def __bool__(self) -> bool:
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return bool(self._terms)
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@@ -132,27 +208,126 @@ class LinkIndex:
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return segment_text(text, self._terms)
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def build_index(conn, *, exclude_slug: str | None = None) -> LinkIndex:
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"""Build a :class:`LinkIndex` from the accepted (active) RFC corpus.
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def _owner_display(conn, owners_json: str | None, proposed_by: str | None) -> str:
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"""The display name to show for a pending RFC's owner. First entry of
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``owners_json`` resolved to its user row's display name, falling back
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to the bare login, then ``proposed_by``, then a neutral noun."""
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login = None
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try:
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owners = json.loads(owners_json or "[]")
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if isinstance(owners, list):
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login = next((o for o in owners if isinstance(o, str) and o.strip()), None)
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except (ValueError, TypeError):
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login = None
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if login:
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row = conn.execute(
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"SELECT display_name FROM users WHERE gitea_login = ?", (login,)
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).fetchone()
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if row and row["display_name"]:
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return row["display_name"]
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return login
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return (proposed_by or "").strip() or "the proposer"
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``exclude_slug`` drops the RFC the surrounding surface is itself scoped
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to, so an RFC's own title/id/slug don't self-link inside its own PR or
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discussion. ``ORDER BY slug`` makes key de-duplication deterministic
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when two RFCs would contribute the same key (first slug wins)."""
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rows = conn.execute(
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"SELECT slug, title, rfc_id FROM cached_rfcs WHERE state = 'active' ORDER BY slug"
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).fetchall()
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terms: list[tuple[str, str, str]] = []
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def _tag_universe(conn) -> list[str]:
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"""Distinct tags across the cached corpus (the #27 de-facto taxonomy),
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preserving original spelling; case-deduped."""
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rows = conn.execute("SELECT tags_json FROM cached_rfcs").fetchall()
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out: list[str] = []
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seen: set[str] = set()
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for r in rows:
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try:
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tags = json.loads(r["tags_json"] or "[]")
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except (ValueError, TypeError):
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continue
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if not isinstance(tags, list):
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continue
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for t in tags:
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if not isinstance(t, str):
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continue
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tag = t.strip()
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low = tag.lower()
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if tag and low not in seen:
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seen.add(low)
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out.append(tag)
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return out
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def build_index(
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conn,
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*,
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exclude_slug: str | None = None,
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include_pending: bool = True,
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include_candidates: bool = True,
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) -> LinkIndex:
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"""Build a :class:`LinkIndex` over the three buckets.
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``exclude_slug`` drops the RFC the surrounding surface is itself scoped
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to, so an RFC's own title/id/slug don't self-link (or self-offer)
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inside its own PR or discussion. Precedence is enforced by insertion
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order — active keys are added first and a later bucket never overrides
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an already-claimed key.
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"""
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terms: list[Term] = []
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seen: set[str] = set()
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def add(key: str, term: Term) -> None:
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if key in seen:
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return
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seen.add(key)
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terms.append(term)
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# --- Part 1: accepted (active) RFCs. ORDER BY slug makes key
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# de-duplication deterministic when two RFCs would contribute the
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# same key (first slug wins). ---
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active_rows = conn.execute(
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"SELECT slug, title, rfc_id FROM cached_rfcs WHERE state = 'active' ORDER BY slug"
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).fetchall()
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# Track every slug + title that *has* a defining RFC, so Part 2 never
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# offers to create one that already exists (active or pending).
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defined_slugs: set[str] = set()
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defined_titles: set[str] = set()
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for r in active_rows:
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slug = r["slug"]
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defined_slugs.add((slug or "").lower())
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defined_titles.add((r["title"] or "").strip().lower())
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if exclude_slug is not None and slug == exclude_slug:
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continue
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title = r["title"] or ""
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rfc_id = r["rfc_id"] if "rfc_id" in r.keys() else None
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for key in _keys_for(slug, title, rfc_id):
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if key in seen:
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add(key, Term(key=key, kind="active", slug=slug, title=title))
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# --- Part 3: pending (super-draft) RFCs. ---
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pending_rows = conn.execute(
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"""
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SELECT slug, title, rfc_id, owners_json, proposed_by
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FROM cached_rfcs WHERE state = 'super-draft' ORDER BY slug
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"""
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).fetchall()
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for r in pending_rows:
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slug = r["slug"]
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defined_slugs.add((slug or "").lower())
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defined_titles.add((r["title"] or "").strip().lower())
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if not include_pending:
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continue
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if exclude_slug is not None and slug == exclude_slug:
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continue
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title = r["title"] or ""
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rfc_id = r["rfc_id"] if "rfc_id" in r.keys() else None
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owner = _owner_display(conn, r["owners_json"], r["proposed_by"])
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for key in _keys_for(slug, title, rfc_id):
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add(key, Term(key=key, kind="pending", slug=slug, title=title, owner=owner))
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# --- Part 2: strong-candidate terms with no defining RFC. ---
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if include_candidates:
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for tag in _tag_universe(conn):
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low = tag.lower()
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# Conservative: multi-word tags only (same guard as titles).
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if " " not in tag and "\t" not in tag:
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continue
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seen.add(key)
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terms.append((key, slug, title))
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if low in defined_titles or low in defined_slugs or _slugify(tag) in defined_slugs:
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continue
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add(low, Term(key=low, kind="candidate", term=tag))
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return LinkIndex(terms)
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