- regenerator: Include project_id in the ON CONFLICT UPDATE clause for
document upserts. Previously, if a document moved between projects
(e.g., during re-ingestion), the project_id would remain stale.
- truncation: Compute the omission marker ("N notes omitted") before
checking whether first+last notes fit in the budget. The old order
computed the marker after the budget check, meaning the marker's byte
cost was unaccounted for and could cause over-budget output.
- ollama: Tighten model name matching to require either an exact match
or a colon-delimited tag prefix (model == name or name starts with
"model:"). The prior starts_with check would false-positive on
"nomic-embed-text-v2" when looking for "nomic-embed-text". Tests
updated to cover exact match, tagged, wrong model, and prefix
false-positive cases.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Change detection queries (embedding/change_detector.rs):
- Replace triple-EXISTS subquery pattern with LEFT JOIN + NULL check
- SQLite now scans embedding_metadata once instead of three times
- Semantically identical: returns docs needing embedding when no
embedding exists, hash changed, or config mismatch
Count queries (cli/commands/count.rs):
- Consolidate 3 separate COUNT queries for issues into single query
using conditional aggregation (CASE WHEN state = 'x' THEN 1)
- Same optimization for MRs: 5 queries reduced to 1
Search filter queries (search/filters.rs):
- Replace N separate EXISTS clauses for label filtering with single
IN() clause with COUNT/GROUP BY HAVING pattern
- For multi-label AND queries, this reduces N subqueries to 1
FTS tokenization (search/fts.rs):
- Replace collect-into-Vec-then-join pattern with direct String building
- Pre-allocate capacity hint for result string
Discussion truncation (documents/truncation.rs):
- Calculate total length without allocating concatenated string first
- Only allocate full string when we know it fits within limit
Embedding pipeline (embedding/pipeline.rs):
- Add Vec::with_capacity hints for chunk work and cleared_docs hashset
- Reduces reallocations during embedding batch processing
Backoff calculation (core/backoff.rs):
- Replace unchecked addition with saturating_add to prevent overflow
- Add test case verifying overflow protection
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Removes module-level doc comments (//! lines) and excessive inline doc
comments that were duplicating information already evident from:
- Function/struct names (self-documenting code)
- Type signatures (the what is clear from types)
- Implementation context (the how is clear from code)
Affected modules:
- cli/* - Removed command descriptions duplicating clap help text
- core/* - Removed module headers and obvious function docs
- documents/* - Removed extractor/regenerator/truncation docs
- embedding/* - Removed pipeline and chunking docs
- gitlab/* - Removed client and transformer docs (kept type definitions)
- ingestion/* - Removed orchestrator and ingestion docs
- search/* - Removed FTS and vector search docs
Philosophy: Code should be self-documenting. Comments should explain
"why" (business decisions, non-obvious constraints) not "what" (which
the code itself shows). This change reduces noise and maintenance burden
while keeping the codebase just as understandable.
Retains comments for:
- Non-obvious business logic
- Important safety invariants
- Complex algorithm explanations
- Public API boundaries where generated docs matter
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Automated formatting and lint corrections from parallel agent work:
- cargo fmt: import reordering (alphabetical), line wrapping to respect
max width, trailing comma normalization, destructuring alignment,
function signature reformatting, match arm formatting
- clippy (pedantic): Range::contains() instead of manual comparisons,
i64::from() instead of `as i64` casts, .clamp() instead of
.max().min() chains, let-chain refactors (if-let with &&),
#[allow(clippy::too_many_arguments)] and
#[allow(clippy::field_reassign_with_default)] where warranted
- Removed trailing blank lines and extra whitespace
No behavioral changes. All existing tests pass unmodified.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implements the documents module that transforms raw ingested entities
(issues, MRs, discussions) into searchable document blobs stored in
the documents table. This is the foundation for both FTS5 lexical
search and vector embedding.
Key components:
- documents::extractor: Renders entities into structured text documents.
Issues include title, description, labels, milestone, assignees, and
threaded discussion summaries. MRs additionally include source/target
branches, reviewers, and approval status. Discussions are rendered
with full note threading.
- documents::regenerator: Drains the dirty_queue table to regenerate
only documents whose source entities changed since last sync. Supports
full rebuild mode (seeds all entities into dirty queue first) and
project-scoped regeneration.
- documents::truncation: Safety cap at 2MB per document to prevent
pathological outliers from degrading FTS or embedding performance.
- ingestion::dirty_tracker: Marks entities as dirty inside the
ingestion transaction so document regeneration stays consistent
with data changes. Uses INSERT OR IGNORE to deduplicate.
- ingestion::discussion_queue: Queue-based discussion fetching that
isolates individual discussion failures from the broader ingestion
pipeline, preventing a single corrupt discussion from blocking
an entire project sync.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
