Files
roboco/tests/unit/mcp_servers
4fb0059556 fix: journals/learnings never reached the RAG corpus + git-readonly slug 404s (#339)
* fix(rag): per-index chunk floors — journals and learnings were never indexed

The global 200-char garbage floor (sized for code/doc chunks) discarded
every templated journal note and most distilled org-memory lessons,
silently: ingest returned success with zero chunks, so agent journals
and learnings were never retrievable via RAG. IndexConfig now carries a
per-type min_chunk_length (journals 40, learnings 80, others unchanged).

* fix(mcp): git-readonly tools default project_slug from the container env

Agents 404ed /api/git/status with 'Project not found: roboco' — the
tools made the LLM supply the slug and six doc examples taught a slug
that matches no registered project. The tools now fall back to the
ROBOCO_PROJECT_SLUG the orchestrator already injects, and the stale
examples are corrected.

* feat(rag): startup backfill re-ingests zero-chunk journals and learnings

Before the per-index chunk-floor fix, ingest() returned success with
chunk_count=0 for undersized content: every historical journal entry and
distilled learning below the (then-global) 200-char floor was durably
recorded in journal_entries but silently never got a chunks_journals /
chunks_learnings row, and no exception meant the existing dead-letter
(rag_index_failures) never saw it either.

Extends the startup reconcile (roboco/api/app.py _reconcile_rag_indexes)
with a new pass: backfill_unindexed_journals (roboco/services/
rag_index_failures.py) queries journal_entries for rows missing from each
vector table and re-ingests them through the same live code paths
(_reindex_journal_entry / record_learning).

Journals and learnings are backfilled independently since a LEARNING entry
can clear the (lower) JOURNALS floor while still failing the (higher)
LEARNINGS floor — a learning's doc_source is a content hash, not the entry
id, so presence there is checked by hashing each candidate the same way
LearningsIndexPlugin.record_learning does and batch-querying chunks_learnings
for those exact sources.

Bounded to 200 rows per pass per boot (converges over restarts on a larger
backlog) and best-effort per row (one failure never aborts the pass). Rows
still under the current floor are excluded by a length filter in the SELECT
so they are never retried forever, and private entries are excluded from
the JOURNALS pass exactly like the live indexing path.

* test(rag): scope backfill assertions to their own rows

---------

Co-authored-by: Renn F <rennf93@users.noreply.github.com>
2026-07-08 16:03:00 +02:00
..
2026-05-02 03:11:49 +02:00