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fe63f3985b |
feat(snippets): un-merge — reverse one source out of a merged survivor
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Closes the last of milestone #232. The task said to settle the design before coding; here is what was settled and why. THE HAZARD. Restoring a merged-in source from the trash brought the record back but never stripped its locations off the survivor, so both claimed the same call sites and the reverse lookup read the duplicate claims as real. Subtracting blindly is not a fix: a location can arrive from a source AND genuinely be the survivor's own, and _normalize_locations dedups them into one, so blind subtraction would strip a call site the survivor owns. Same problem defeated partial un-merge — `merged_from` recorded ids, not which locations came from which source. THE ANSWER. Record per-source attribution AT MERGE TIME, where it is known exactly: each entry keeps only what that source ADDED, computed incrementally as sources fold in. Anything the survivor already had, or an earlier source already brought, is attributed to nobody. Both open questions fall out of that one change — partial un-merge is exact, and a survivor-owned location can never be stripped, because it was never attributed in the first place. The shape moved from [id] to [{id, locations, tags}]. Free to do: the corpus holds one snippet and zero merges, so there is no legacy data (rule #22). A bare int still normalizes to {"id": n} — not legacy tolerance, but because snippet_fields falls back to PARSING THE BODY when a row has no `data`, and the body's provenance line can only carry ids. Such an entry shows history and refuses un-merge with a reason rather than guessing. WHICH SURFACE. Neither option in the task, quite. Making trash-restore notice the merge would teach the generic trash path snippet semantics for one record type. Instead un-merge OWNS the restore: one operation, one authorization check, trash stays ignorant. Restoring by hand is still allowed and still leaves both records claiming the same places — so un-merge treats an already-alive source as the normal case and goes straight to the subtraction that repairs it. That is the state that motivated the feature, not an error. Adds trash.restore_entity(user_id, type, id) — the missing inverse of delete(), which returns a batch id callers don't keep. Restores the whole batch, since the batch is the entity plus its cascade. Refs #2165 Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UaYUaouG9jjhATyuxCKrQs |
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0d396de215 |
feat(snippets): record merge provenance on the survivor
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Merge kept the target's fields, unioned locations and tags, and trashed the sources — recording nothing about what it absorbed. If a variant handled an edge case the survivor doesn't, that difference left the visible record entirely; recovering it meant knowing to go digging in the trash. The survivor now carries `merged_from`: a "**Merged from:** #2, #3" line in the body for humans, and the same list in the `data` mirror for queries, written from one value like every other field (#2087). It accumulates rather than replaces — a target merged twice keeps both histories — and skipped sources (cross-owner, per #231) are excluded, so the record never claims to contain something it never absorbed. Ordinary edits carry it forward. update_snippet recomposes body and mirror from scratch, so an omission there would silently erase the history on the next unrelated edit; that path is pinned by its own test, including the pre-0070 case where the body line is the only copy. Surfaced in the snippet detail view as a "Merged from" row — the view renders parsed fields, not the raw body, so the body line alone would have been invisible to the operator (rule #27). Un-merge, the other half of #2087, stays open: restoring a source from trash still doesn't strip its locations off the survivor, and what partial un-merge should mean is a design question, not a coding one. `merged_from` is the record that makes it tractable. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RLwAaV4DQEmVyn496HnEvt |