feat(write-path): the derive arm — the hint names a duplicate family (no canon) or a canon elsewhere for the shapes being written; exclude_derive channel (#2900, milestone 299 step 2)
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shape_ledger.write_time_derive asks the ledger what it knows about each named (kind, symbol): a derive-grouped family (identical body / same name in N other files) -> "derive it now, do not add a copy"; a canonical row at another path -> "canon #N at <path>, reuse". Judged rows at the path and the canon own file stay silent. Rendered by _derive_line beside the divergence line; keyed (group id / canon:<id>) on a third per-session dedup channel in the hook (.derive.ids -> exclude_derive=). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -1594,6 +1594,75 @@ async def write_time_divergence(
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return out
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# How many other files a family line names before "…" — enough to go look,
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# not a wall.
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_DERIVE_FILES_SHOWN = 4
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async def write_time_derive(
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project_id: int, path: str, shapes: list[tuple[str, str]]
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) -> list[dict]:
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"""The in-band DERIVE check (#2900): for each (kind, name) the hook
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named at ``path``, what the ledger already knows about that name
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elsewhere in the project —
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family the name sits in a derive-first group (identical body in N
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files, or the same name in ≥3): "this is a known duplicate
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family with no canon — derive it now, don't add a copy";
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canon a `canonical` row of that name at another path: "this is
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canon #N at <path> — reuse, don't redefine".
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Only for shapes not yet judged at ``path`` (a judged shape is not
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re-litigated at every edit), never for the canon's own file. Returns
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[{symbol, kind, key, family?|canon?}] — `key` is the dedup token the
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hook keeps per session (the group id, or canon:<snippet_id>)."""
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wanted = {(k, _norm_symbol(n)): n for k, n in shapes if n}
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if not wanted:
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return []
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async with async_session() as session:
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rows = (
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await session.execute(
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select(CodeShape).where(
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CodeShape.project_id == project_id,
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CodeShape.vanished_at.is_(None),
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CodeShape.symbol.in_({norm for (_k, norm) in wanted}),
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)
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)
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).scalars().all()
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out: list[dict] = []
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for (kind, norm), name in wanted.items():
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same = [r for r in rows if r.kind == kind and _norm_symbol(r.symbol) == norm]
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here = next((r for r in same if r.path == path), None)
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if here is not None and here.status not in _MECHANICAL_TODO:
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continue # judged here (or this IS the canon): nothing to say
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others = [r for r in same if r.path != path]
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label = ("." if kind == "css" else "") + name
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canon = next((r for r in others if r.status == "canonical" and r.snippet_id), None)
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if canon is not None:
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out.append({"symbol": name, "kind": kind, "key": f"canon:{canon.snippet_id}",
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"canon": {"snippet_id": canon.snippet_id, "path": canon.path,
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"label": label}})
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continue
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grouped = [r for r in others if r.proposal_group and r.status in _MECHANICAL_TODO]
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if here is not None and here.proposal_group:
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grouped = [r for r in grouped if r.proposal_group == here.proposal_group] or grouped
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if not grouped:
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continue
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group = grouped[0].proposal_group
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members = [r for r in grouped if r.proposal_group == group]
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files = sorted({r.path for r in members})
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out.append({
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"symbol": name, "kind": kind, "key": group,
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"family": {
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"group": group, "label": label,
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"identical": not group.startswith("name:"),
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"files": files[:_DERIVE_FILES_SHOWN], "file_count": len(files),
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"size": len(members) + (1 if here is not None else 0),
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},
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})
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return out
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async def flag_divergence(project_id: int, *, since: datetime | None) -> int:
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"""Flag shapes created after ``since`` (the previous refresh) that sit
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where a canon dominates and were not proposed as that canon. With no
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