Reuse completed Google embeddings and resume semantic staging
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@@ -1,8 +1,13 @@
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# Incremental semantic indexing and recovery
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Status: implementation design and acceptance gates; not implemented. Current
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semantic rebuilds regenerate vectors and the ANN graph. Interrupted staging is
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discarded by the next rebuild. The previous ready generation remains searchable.
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Status: completed-source reuse and compatible staging recovery implemented in
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schema 7. Unchanged vectors are copied with current citations; the ANN graph
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is rebuilt. Incomplete source groups are discarded before retry. The previous
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ready generation and its reader policy remain available on failures.
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CPU tests use the normal hardware-detecting runtime forced to CPU.
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Recorded integration evidence and remaining gates are below. This is not a
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production readiness or media relevance claim.
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## Reuse requires complete sources
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@@ -17,7 +22,7 @@ encoder/preprocessing/sampling policy. Size and modification time alone are
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insufficient. Existing media chunks are written progressively; their presence
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does not prove that a file completed. A crash can leave an incomplete group.
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Add a versioned completion manifest per source group: generation, task key,
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The versioned completion manifest records per source group: generation, task key,
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source type, encoder/policy key, source hash, title hash where applicable,
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expected chunk count and completion state. Associate chunks with their group.
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Only completed groups can supply reusable vectors. Historical generations
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@@ -51,20 +56,25 @@ preserve both the previous active generation and the same reader's policy.
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## Acceptance gates
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- [ ] Migrate existing databases while preserving active-generation search.
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- [ ] Rebuild mixed text/code/image/audio/video fixtures unchanged with zero
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- [x] Schema-6 storage migration preserves active-generation search; legacy
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chunks without completion evidence cannot supply reusable vectors.
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- [x] Rebuild mixed text/code/image/audio/video fixtures unchanged with zero
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document/media inference calls and identical vectors and source locations.
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- [ ] Change one document and one media file; re-encode only affected groups.
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- [ ] Re-encode text after a basename rename; reuse a folder-only move with
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current citations. Verify media bytes before reusing a renamed media file.
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- [x] Change one document and one image; re-encode only affected groups.
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Image regression preserves file size and exact mtime to exercise SHA identity.
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- [x] Re-encode text after a basename rename; reuse a folder-only move with
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current citations.
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- [ ] Verify media bytes and current citations after a media-file rename.
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- [ ] Regenerate affected media when sampling policy changes; retain eligible
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text groups when component encoder-key reuse is implemented.
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- [ ] Terminate after a committed batch and resume without repeating completed
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inference. Never reuse or publish an unfinished source group.
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- [ ] Mutate or delete a queued/running source and prove stale vectors cannot
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activate or become readable.
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- [ ] Inject storage/activation failure, preserve existing results and resume.
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- [ ] Use genuine Google CPU inference for these integration checks. Storage
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- [x] Inject activation failure, preserve existing results and resume completed
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staging with zero document inference; cleanup-failure unit regression retains
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the primary error and old reader policy.
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- [x] Use genuine Google CPU inference for reuse integration checks. Storage
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fixtures alone do not establish retrieval quality or reuse equivalence.
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- [ ] Measure preparation, the first foreground query and warm p95 while
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resumed indexing runs; record actual inference/reuse counts and resource use.
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@@ -72,3 +82,24 @@ preserve both the previous active generation and the same reader's policy.
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Foreground query priority and bounded persistent workers remain part of the
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first-use requirement. Faster unchanged rebuilds alone do not prove responsive
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search while indexing.
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## Current limits
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Reuse requires the complete generation policy to match. Component-level reuse
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across media sampling changes remains open. Durable staging resumes at completed
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source boundaries; a real process-kill test during a multi-batch source remains
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open. Storage tests cover discarded partial groups and corpus revision races.
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Full source hashes are checked before ANN construction; indexed changes during
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ANN construction are rejected by the final transaction's revision guard. A direct
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filesystem mutation during ANN construction before watcher reconciliation still
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needs a later validation callback and concurrent real-model regression.
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Obsolete completed groups in resumed staging are removed at final reconciliation.
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Near the 100,000-chunk ceiling, replacement work can temporarily hit the budget
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before this cleanup and fail safely. Bounded discovery/pruning before inference
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is the next improvement. Hashing, media metadata probes and graph rebuilding still
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have costs: zero encoder calls does not mean zero work or prove fast first input.
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Synthetic colored-image and sine-wave fixtures prove actual vector reuse and
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citation equality; they do not establish useful media relevance.
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