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9d8104f7a5 |
fix(embeddings): key_share alone is FOR NO KEY UPDATE, not FOR KEY SHARE (#3262)
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SQLAlchemy spells Postgres's four row locks as a read/key_share pair, so `with_for_update(key_share=True)` renders FOR NO KEY UPDATE — an exclusive lock that two refreshes of the same record would fight over, and that an ordinary concurrent edit would block. The claim needs `read=True` as well to be the FOR KEY SHARE the docstring describes. Caught by the unit test that compiles the statement, which is the whole reason it asserts on the rendered lock mode rather than on behaviour that looks identical either way. |
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7827b4ce63 |
fix(embeddings): the index refresh loses the race it used to deadlock (#3262)
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An embedding refresh replaces a record's vectors as delete-then-insert, which takes the chunk rows first and the parent row second (via the insert's foreign key). A cascading delete of the parent takes exactly those two locks in the other order. Postgres calls the cycle a deadlock and kills one side: sometimes the detached embedder, silently, and sometimes the user's delete, as a 500 on an operation that should have worked. Both upserts now claim the parent row with FOR KEY SHARE NOWAIT before touching any chunk row. That removes the cycle instead of narrowing it — either the embedder is first and the delete queues behind it, or the delete already holds the row and the embedder loses at once, which is the side designed to lose. FOR KEY SHARE is the lock the insert would take anyway, so an ordinary edit is unaffected. The note twin, recorded as unverified on the issue, has the same shape and the same fix; a trash purge is the hard delete that reaches it. Unit tests pin the ORDER and the lock mode by compiling the statement; the integration pair holds a real delete open in one transaction and proves the embedder returns having written nothing, with a deadline so a regression fails instead of hanging. |
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02c1e37620 |
feat(rules): the write path can notice a standing rule it was never given (#3031, milestone 307 step 5, hook arm)
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A conditional rule is not resident, so a session can be about to violate one it was never handed. This arm notices: when what is being written resembles a rule's trigger, the hint names it and says to read it before deciding it does not apply. A SUGGESTION, and the plan was wrong about why it could be more. It claimed the hook "already resolves a path to an area" — it does not, and nothing in Scribe maps a path to a System or a canonical area (build_write_path_hint resolves paths against snippet LOCATIONS, a different index; the learned-alias idea belongs to another project). Correction logged on the task. Rather than invent path→area inference to make a stale claim true, the arm does what D7 already decided and what this surface already IS: tags bind at enter_project, meaning suggests here. The header of the hook says NEVER BLOCKS; dressing a hint up as binding would have been the actual mistake. CONDITIONAL RULES ONLY. An always-on rule is already in the session, so re-offering it is noise — and noise on a hint that fires on every write is how a hint gets ignored. Telemetry goes to retrieval_logs, NOT note_usage_events, and that is a correctness call rather than a preference: note_usage ids are REMAPPED on a backup restore, so a rule id written there would come back attached to whatever note took that number — silently corrupting the evidence the next true-up is supposed to read. retrieval_logs is never restored and `source` already separates surfaces. record_retrieval's `results` type widened to match what it actually needs (an `.id`), instead of passing a Rule to something annotated Note. The rule dedup gets its OWN state file and query parameter, like the three channels before it — #2708's lesson was that one shared channel lets a hint of one class silence a different class that had never been shown. Plugin version bumped: a hook change clients cannot see did not ship (#1040). The stub is autouse in conftest rather than added to forty-odd call sites: the arm loads an embedding model, and every existing test that stubs the NOTES search would otherwise pull a real model in through the one arm it had no way to know about. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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6ada97bb0b |
fix(rules): resolve the Rule forward ref for ruff and readers (#3030)
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F821: the quoted `"Rule"` in semantic_search_rules' return annotation evaluates fine at runtime — a string inside a subscript is a value, not a name lookup — but it points at nothing a reader or a type checker can follow, which is what ruff is objecting to and it is right to. A TYPE_CHECKING import resolves it at zero runtime cost, while the real import stays inside the function so this module still does not pull in the rulebook models. Placed after the import block, where isort wants the guard. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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95a37318fc |
feat(rules): rules become findable by meaning (#3030, milestone 307 step 4)
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Rules were the only major record type with no vector, so `search` could never return one and a rule could arrive only by being preloaded. That single fact is what made every rule compete for one always-on budget. THE DECISION THE TASK ASKED FOR, made explicitly: a sibling rule_embeddings table, not a polymorphic embedding row. The ROW could have been generalised; the SEARCH could not. semantic_search_notes is Note-specific scoping end to end — the visibility clause, the supersession penalty, note_type/task_kind/system filters — and a rule shares none of it, scoping instead by rulebook ownership or project. Generalising the row while still needing two searches is the worst of both: a key with referential integrity to neither table, on the path every session start runs, to share four columns. What is genuinely common is BEHAVIOUR — get_embedding, chunk_document, embedding_text, CHUNKER_VERSION — and those are reused as-is. Sharing them is the DRY win; sharing the table would have been the DRY costume. The document shape is measured, not chosen (note 2485). That pass found the snippet was the only discriminative record in the corpus — a 0.153 top-to-second gap against 0.010-0.023 — and that the cause was its SHAPE: purpose stated twice in a short single-topic document. rule_document reproduces it: the trigger in the title AND as the body's first line. And it excludes `why`, which matters more than any of it. `why` is dated incident narrative — rule 46's runs to 4,300 characters — and long multi-topic prose is exactly what made sixteen dev-logs mutually indistinguishable. Adding it would not give the vector more to work with; it would give every rule the SAME thing to work with. rule_document takes no `why` parameter at all, so a well-meaning caller cannot pass one. A rule with no trigger degrades to title + statement — findable, less sharp. That is an argument for backfilling triggers (step 6), not for padding the document with whatever text is nearby. search(content_type="rule") returns the rule WITH its why and how_to_apply: they are its operational half, the session payload never carries them, and a caller who went looking should not have to re-fetch. Writes re-index fire-and-forget like notes; startup backfills in its own try block so neither backfill can skip the other. rule_embeddings is derived, so it joins note_embeddings in the backup's explicitly-NOT-included list. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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041d8defbc |
feat(embeddings): best-chunk-per-note on every retrieval surface (#280 step 4)
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A note's relevance is now its best chunk's similarity, everywhere: - semantic_search_notes keeps the indexed raw-distance top-k and over-fetches chunk rows (x4, composing with the x3 supersession over-fetch), then collapses to first-appearance-per-note — rows arrive distance-ordered, so first is best. Every ranked consumer (MCP/REST search, Browse, auto-inject, write-path, gate) inherits through the one function. - list_notes semantic q swaps its join for a correlated MIN-distance subquery — the join would have repeated a long note once per matching chunk and made total count chunks. - the duplicate report groups its self-join by note pair on MIN(distance): pair similarity = closest chunk pair, and the < join now also drops cross-chunk self-pairs that would flag every long note against itself. - the write gate queries once per chunk of the candidate (capped at 8), so a note duplicating an existing record in ONE SECTION is caught — the whole-document query diluted exactly the section that mattered. Integration test now seeds a two-chunk note and pins the collapse against real pgvector. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UaYUaouG9jjhATyuxCKrQs |
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0e70a3896b |
feat(embeddings): per-chunk rows — schema, write path, version-aware backfill (#280 steps 2+3)
note_embeddings becomes one row per chunk: PK (note_id, chunk_index), plus chunk_text (what this vector actually encodes) and chunker_version. Migration 0077 clears the table — embeddings are derived (0067 precedent) and the old whole-document rows are indistinguishable from single-chunk notes, so the startup backfill regenerates the corpus at the new shape. The backfill is now version-aware: a future shape change is a CHUNKER_VERSION bump that re-embeds exactly the stale notes, not another wipe. upsert_note_embedding takes (title, body) and chunks internally — one path for the write path, the recurrence spawn and the backfill. The recurrence spawn's own embed call is deleted outright: create_note already embeds via embed_note (#2056), so the spawn was a second copy of the rule. An emptied record now CLEARS its stale vectors instead of leaving them findable. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UaYUaouG9jjhATyuxCKrQs |
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6b5043a69c |
feat(embeddings): chunk_document — the chunked document shape (#280 step 1)
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bge-small reads 512 tokens and fastembed truncates silently, so a single whole-document vector permanently lost everything past ~400 words. The new shape: split at markdown headings (fence-aware), merge small sections, split oversize ones at paragraph boundaries, title-anchor every chunk, repeat the section heading on continuation pieces. A record that fits the window yields exactly one chunk identical to the historical title\nbody shape, so the corpus's sharpest records are byte-for-byte unaffected. CHUNKER_VERSION added so later shape changes re-embed by version comparison instead of a table wipe. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UaYUaouG9jjhATyuxCKrQs |
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f11a547cd2 |
fix(lists): shared-project records appear, and a list's q means what search means
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#2462, both decided halves. ## The ACL defect list_notes filtered on Note.user_id == user_id with no scope parameter at all — never a per-call decision, the capability was absent. query_knowledge beside it was deliberately browse-scoped with a comment saying why. So a task in a shared project was invisible in list_tasks, enter_project's open-task list, the SessionStart todo count and the web UI's task views, while the same project's notes and snippets appeared. Now the shared clause: notes_visibility_clause(user_id, "browse"). Browse and not read, per decision #2094 — an ambient list must never surface a record someone shared one-to-one; those stay search-only. This is the remaining half of a fix made twice before (#2159 widened fetch, #2092 widened meaning), and the guard below is what stops a fourth half appearing. Guarded by source inspection in test_retrieval_scopes: every list-shaped service references a shared visibility clause AND carries no bare Note.user_id comparison that would quietly re-narrow it. An owner-only list returns correct-looking rows and simply omits the shared ones — the shape no behavioural test catches. ## q is semantic (operator: "make it match") The UI's note list keyword-matched while the UI's Browse search semantic-matched, over the same records, with nothing saying so. Now one meaning: q joins the embedding index and orders by cosine distance at the interactive floor, with every lifecycle filter still applied in the same indexed query. Relevance ordering wins over `sort` when q is present — a query is a relevance claim, and sorting its results by date would shuffle the answer. ILIKE survives only as the embedder-down fallback: degraded, never empty. Stated position: superseded records are NOT demoted in list-q. The penalty reorders a top-k; reordering a paginated, counted list would make page boundaries lie. The search surfaces carry the demotion. ## The interactive floor becomes one constant INTERACTIVE_SEARCH_THRESHOLD = 0.3 in embeddings.py, consumed by routes/search.py (was a commented constant), knowledge.py (was a bare literal), and the new list-q. This closes #2463's finding 3 early — the same number lived in two files with the reasoning attached to only one. ## Deferred, deliberately The return-shape unification (ORM objects vs dicts) stays undone. It is a 14-caller refactor whose motivation — callers being unable to swap paths — shrinks now that both paths share the clause and the meaning of q. If swap pressure recurs it deserves its own change, not a rider on an ACL fix. Refs #2462, #2463 |
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3f1523b19f |
feat(systems): read-side teeth — the vocabulary at session start, a search filter, and the state/chronicle instructions
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Step 4 of #278, product half. The audit that motivated it: one System in project 2, thirty records tagged, nothing since July 28 — three days after the feature landed. Not a discipline failure; retrieval was completely blind to the association (zero references in embeddings, knowledge, search, auto-inject, or enter_project), so tagging was a write-side label with no read-side payoff, and labels nobody reads don't get maintained. Three changes, ordered by what makes the others workable: 1. enter_project returns the project's Systems (id, name, first line of the charter). Load-bearing for the tagging instruction: you cannot ask an agent to check a record against a vocabulary it never sees. Trimmed because it rides on every session start; the full charter stays get_system's job. Present-and-empty rather than absent when a project has none — "no named areas yet" is information the create-the-System instruction acts on. 2. search accepts system_id, MCP and REST (#33). Implemented once in semantic_search_notes as an EXISTS against record_systems — an association filter deciding candidate-set membership before scoring, like project_id, not a ranking signal. The REST route's missing project filter stays #2463's: it carries a default-scope UI decision this change must not preempt. 3. The instructions (#119, _INSTRUCTIONS + using-scribe skill; plugin 0.1.25 for the cache): - Tag as you write, with an executable test — "would someone investigating that subsystem want this in the pile list_system_records returns?" — rather than "tag appropriately", which is what died. - Create the System when the area has no record: the two-or-more test snippets use, plus "don't wait to be asked to name an area that plainly exists", because the agent's default was leaving un-modelled areas un-modelled forever. - State vs chronicle: dev-logs are written once and never rewritten; durable findings live in the System's reference note, updated in place — safe because note versions are the changelog, which has existed since the feature shipped and was never named as one. list_system_records' docstring now sells it as the way to READ a subsystem, reference note first. No auto-inject boost by System — vocabulary and filter first, measure before adding ranking behaviour (the #2486 lesson). Refs #278, #2546 |
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f20c019f2a |
feat(supersession): demote what a later note overtook, and label it
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Step 3 of #278. First step with visible effect. ## Where the demotion happens, and why not in SQL Applied AFTER the pgvector fetch, over an over-fetched candidate set, not as part of the ORDER BY. Ordering by `distance + penalty` would be exact and would turn an indexed top-k into a scan-and-sort of every embedded note — the HNSW index from migration 0067 can only serve a raw-distance ordering. So the query fetches 3x the requested rows by raw distance and the re-rank happens in Python. Demoting after a LIMIT k with no over-fetch would have been theatre: the cut already happened, so a superseded record pushed down still sits in the results and the live record that should have replaced it was never fetched. The cost is stated in the code: a live record outside the over-fetch window cannot be promoted in. With a 0.05 penalty against neighbours ~0.014 apart, that needs the true answer more than three ranks down, which no observed query approaches. ## Demote, never hide — enforced in three places The penalty applies to the RANKING score, not to the relevance threshold. The floor decides whether a record is relevant at all; the penalty decides which relevant record comes first. Applying it to the floor would drop a superseded record out of the results entirely, which is the one thing this must not do. It is small on purpose. Supersession is a claim about SOME of a record's content, so one that strongly answers a question nothing else answers still surfaces — just behind anything comparable that is current. Its test asserts both bounds, the upper one citing the operator's constraint rather than an optimisation. And every test here that could be satisfied by dropping a record instead asserts the record is still present. ## The dedup gate opts out A superseded record is still a duplicate of what you are about to write — the claim is that it is no longer current, not that it is gone. Demoting it there would let the same note be recorded a second time, and the second copy would be the one nothing warns about. ## The label Auto-inject marks a superseded line SUPERSEDED with a pointer to check the later record. One query for the whole menu. An agent handed stale material with nothing marking it acts on it with full confidence, which is worse than never having surfaced it — the ranking is only half the fix. Fails open: a supersession lookup error returns unpenalised results rather than none, because unpenalised ranking is the behaviour that shipped for months and a broken search is not. Refs #278 |
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bbba0b3ae3 |
refactor(embeddings): one definition of the document a record is embedded as
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`f"{title}\n{body}"` was written out four times. #2486 found three — the write
path, the recurring-task spawn, the startup backfill. The guard added here
found the fourth immediately, and it was the one that mattered most.
`dedup.find_duplicate_note` built the same string as a QUERY, compared against
embedded documents. Shaped differently from the corpus it searches, the gate
degrades silently: it still returns neighbours, just less apt ones, and nothing
says the query and the index stopped agreeing. The spawn path has the same
shape of risk — a recurring task embedded differently from everything else is
ranked against documents it doesn't match.
None of the four had diverged. That is what makes this worth doing now rather
than after: they are identical today, so collapsing them is a no-op, and the
whole point is that the next change to the shape can't hit three of four.
Which is imminent. #2486 measured a dev-log separating from five unrelated
dev-logs by 0.023 where a snippet separates by 0.153 — the difference being
that a snippet states its purpose twice in a short document. Whether that shape
is right is the open question; testing an alternative against four copies would
mean testing a shape that isn't the one in production. This is the precondition
the issue named.
The guard is source inspection, matching the f-string pattern rather than a
variable name, so a copy that renames its locals is still caught. A behavioural
test cannot see this: an inlined copy produces the same string today and
diverges the day the shape changes.
Refs #2486
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f8522fb28f |
fix(retrieval): give reuse a slot, and let experience reach the write path
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Two mirror-image scoping mistakes, neither deliberate (#2246). AUTO-INJECT let every kind compete on raw cosine. That is fatal rather than merely imperfect here, because Scribe's project records are ABOUT software work: a task titled "surface snippets before the agent writes code" is a near-perfect lexical match for "write a function…" while answering none of it. Measured live, a prompt asking for a helper returned three records about BUILDING the retrieval system and zero snippets. Snippets are ~0.5% of the corpus, and the ratio worsens as the project record grows — which is the direction Scribe is meant to grow, so no threshold tuning fixes it. Now the best snippet or process takes the LAST slot when none won on score. Deliberately NOT held to the margin band: that band measures distance from the top overall score, and the top score is the very thing snippets lose to. It still must clear the configured threshold, so a weak snippet cannot buy the slot — silence stays the default. Skipped entirely when reuse already won, so the fix is invisible in the case it isn't needed. WRITE-PATH was snippets-only — the same mistake inverted. An issue recording "we tried this and it deadlocked" could never reach the moment that code was about to be written, though it is arguably the better prior art: it says what NOT to do. Widened to snippets plus recorded experience. That needed a filter the search layer couldn't express. "Experience" is issues plus dev-logs, which differ on is_task, so neither note_type nor is_task alone covers it. semantic_search_notes gains task_kind, which restricts TASKS to the given kinds while leaving non-task notes untouched — so note_type=("snippet", "note") + task_kind="issue" yields snippets, fixed problems and durable notes, without the open to-do list. note_type now accepts a sequence too. Non-snippet hits are labelled with their kind, because an unlabelled issue on that menu reads as "here is code to reuse", the opposite of what it says. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UaYUaouG9jjhATyuxCKrQs |
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e0328f2b1c |
feat(plugin): write-path trigger — offer prior art before code is rewritten
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The milestone headline. Auto-inject fires on the operator's prompt; the moment reuse is actually lost is later, when the agent decides mid-task to write a helper. A PreToolUse hook on Write|Edit now fires there. Channel: `additionalContext` with NO permissionDecision, so the note reaches Claude beside the tool result and the write is never blocked — a recall aid must not be able to stop the operator's work. Plain stdout would have been invisible to the model, and deny/ask would have made a nudge into a gate. Two arms, different in kind: - BY PLACE — a snippet recorded at this path (or its directory) is prior art by definition, not resemblance, so it is neither scored nor thresholded. This is what #2083's reverse lookup was built to answer. - BY MEANING — semantic search restricted to snippets (new `note_type` filter on semantic_search_notes) over the code about to be written. Place ranks first; the top-k cap spans both arms. Gates carried over from milestone 93 verbatim: threshold, margin, session dedup, titles-never-bodies. Own `source='write_path'` in retrieval_logs so precision is tunable separately — the docstring records that the place arm is unlogged and hands that to #2085. Its own on/off in Settings but the SAME threshold/top-k: one "how loud may Scribe be" knob is easier to reason about than two that drift, and splitting them later is then a data-backed change rather than a guess. Details worth keeping: the hook sends a REPO-RELATIVE path because that is how locations are recorded; the git remote resolves to a project and is never used as the location `repo` filter (different namespaces, would silently match nothing); the endpoint stays a GET because a read-scoped API key cannot POST and every other hook depends on that. plugin.json 0.1.17 -> 0.1.18. Refs #2082, milestone #232. |
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ef1dbdfc86 |
feat(acl): unify the retrieval scopes; mark shared rows in Knowledge browse
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Closes #2092 and the Knowledge-browse provenance gap. The two halves of a hybrid search disagreed: the keyword half honoured shares while the semantic half was pinned to NoteEmbedding.user_id, so a shared record was findable by wording and invisible by meaning — the case a semantic search exists to serve. semantic_search_notes now scopes on Note via a `scope` parameter, and each of its five callers declares which kind of act it is: mcp/tools/search.py read the agent asked routes/search.py read the user typed it knowledge.py (semantic) read matches the keyword half beside it plugin_context.py browse nobody asked; never a one-to-one share dedup.py own a verdict that blocks a write must not hinge on another person's notes That last one is the reason this isn't a single global widening: the dedup gate returns "update the existing one instead", so matching a stranger's record would refuse a legitimate create and point at something the caller can't edit. Scope defaults to "own" so a caller that forgets is wrong in the safe direction, and an unknown scope raises rather than falling back — a typo there would be a data-exposure bug. Auto-inject keeps the browse scope, which still admits a collaborator's note via a shared project. Its menu line is the only provenance an agent sees, so a foreign hit now reads: #12 "Title" (0.71) - shared by alex, treat as a suggestion. MCP and REST search results carry shared/owner too. Knowledge browse: the feed hydrates cards from /api/knowledge/batch rather than the list route, so both paths label rows now, and KnowledgeView shows "by <owner>" on records the viewer doesn't own. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RLwAaV4DQEmVyn496HnEvt |
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513019786e |
feat(search): pgvector substrate — vector(384) + HNSW for semantic search
Move semantic_search_notes off the full-table Python cosine scan onto a native pgvector column: indexed ORDER BY embedding <=> :q LIMIT k (HNSW, cosine). Migration 0067 enables the extension, converts the JSONB embedding column to vector(384) (stale-dim rows dropped and regenerated by the startup backfill), and builds the HNSW cosine index. Postgres image moves postgres:16-alpine -> pgvector/pgvector:pg17 across prod, quickstart, and CI. Scribe: project 2, milestone 93, task 1031. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Xz4j1H7pjYSjKsEpgcNH5E |
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70ab3f38c6 |
chore: remove pre-pivot dead code + finish Scribe rebrand (#599 t1-3)
- Header wordmark Fabled -> Scribe; fable:calendar-changed event -> scribe:calendar-changed; SettingsView CSS comment. - Drop dead Project.auto_summary + summary_updated_at columns (migration 0063) -- the Ollama-era summarizer is gone; model + 2 frontend types + projects test updated. - Remove pivot vestiges: diagnostics _curator_busy()/curator_busy heartbeat field, tz BRIEFING_DAY_START_HOUR/user_briefing_date dead aliases, the ignored 'model' param on get_embedding (+ its test). ruff src/ clean; CI is the gate. Part of scribe plan #599. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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b255a0f90e |
refactor: rename package fabledassistant -> scribe (code-only)
Renames src/fabledassistant -> src/scribe and all imports, plus the default DB name and DB user/password (fabled -> scribe) in config + compose. 952 refs / 154 files. Reverses the old 'internal name stays fabledassistant' convention. Code-only: live databases are still physically named 'fabledassistant'. Deployed environments must set POSTGRES_DB / POSTGRES_USER (or rename the DB) since the defaults now resolve to 'scribe'. Repo (FabledScribe), git host (fabledsword), MCP (fabled-git) and the image name (fabledscribe) are intentionally unchanged. ruff check src/ clean locally; CI (typecheck + pytest) is the gate. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |