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>
Adds complete merge request ingestion pipeline with a novel two-phase
discussion sync strategy optimized for throughput.
New modules:
- merge_requests.rs: MR upsert with labels/assignees/reviewers handling,
stale MR cleanup, and watermark-based incremental sync
- mr_discussions.rs: Parallel prefetch strategy for MR discussions
Two-phase MR discussion sync:
1. PREFETCH PHASE: Spawn concurrent tasks to fetch discussions for
multiple MRs simultaneously (configurable concurrency, default 8).
Transform and validate in parallel, storing results in memory.
2. WRITE PHASE: Serial database writes to avoid lock contention.
Each MR's discussions written in a single transaction, with
proper stale discussion cleanup.
This approach achieves ~4-8x throughput vs serial fetching while
maintaining database consistency. Transform errors are tracked per-MR
to prevent partial writes from corrupting watermarks.
Orchestrator updates:
- ingest_merge_requests(): Coordinates MR fetch -> discussion sync flow
- Progress callbacks emit MR-specific events for UI feedback
- Respects --full flag to reset discussion watermarks for full resync
The prefetch strategy is critical for MRs which typically have more
discussions than issues, and where API latency dominates sync time.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
