agnes-the-ai-analyst/connectors/keboola
ZdenekSrotyr 16938ae7cb fix(materialized): address 4 Devin Review findings on PR #152
Devin Review on commit 7052a235 flagged 4 real bugs in the Keboola
materialized path. All four are fixed; 3 new regression tests pin the
behavior so future refactors can't quietly regress.

BUG_pr-review-job-3fbd31c9_0001 — _run_materialized_pass gated behind 'if bq_project:'
  app/api/sync.py:444-466 wrapped the entire materialized pass (which
  dispatches BOTH BigQuery AND Keboola rows by source_type) in a check
  for data_source.bigquery.project being non-empty. On Keboola-only
  instances this short-circuited and Keboola materialized rows sat in
  table_registry forever without their SQL being evaluated — the feature
  CHANGELOG advertised was dead code on the most common deployment shape.
  Fix: always run the materialized pass; the BQ branch's per-row try/except
  catches the typed BqAccessError(not_configured) the sentinel raises
  when no BQ project is set, so non-BQ instances incur a per-row error
  for any (hypothetical) BQ-tagged row but the Keboola path runs cleanly.
  Log line renamed 'Materialized BQ' → 'Materialized SQL' to match.

BUG_pr-review-job-3fbd31c9_0004 — wrong config key 'url' instead of 'stack_url'
  app/api/sync.py:149 read get_value('data_source', 'keboola', 'url'),
  but the canonical config key documented in instance.yaml.example:111
  and used by app/api/admin.py:1503 + 2359 is 'stack_url'. Production
  Keboola instances would always see an empty URL and fail with the
  'not configured' error. The pre-existing test patched the wrong key
  too, so it passed without catching the mismatch. Fix: use stack_url
  in both sync.py and the test fixture.

BUG_pr-review-job-3fbd31c9_0003 — no atomic write in Keboola materialize_query
  connectors/keboola/extractor.py wrote COPY directly to the final
  '<id>.parquet' path. A mid-COPY failure (network, disk full, extension
  crash) left a partial parquet that the orchestrator rebuild would
  later pick up and serve to analysts. BQ's materialize_query already
  uses a '<id>.parquet.tmp' staging path + os.replace() atomic swap
  (connectors/bigquery/extractor.py:370-445); Keboola now mirrors that
  pattern with the same try/except cleanup on COPY failure.

BUG_pr-review-job-3fbd31c9_0002 — full file read into memory for MD5
  Same file:60-62 used parquet_path.read_bytes() for the MD5 hash.
  Multi-GB Keboola materialized results would OOM on memory-constrained
  containers. BQ's version uses streaming 8 KiB-chunk hashing
  (connectors/bigquery/extractor.py:438-442); Keboola now mirrors it.

Tests:
  - test_run_sync_runs_materialized_pass_on_keboola_only_instance —
    pins BUG_0001's fix; setting bigquery.project='' must NOT skip
    Keboola materialized dispatch
  - test_keboola_materialize_atomic_write_on_failure — pins BUG_0003;
    a mid-COPY RuntimeError leaves no .parquet AND no .parquet.tmp at
    the canonical path
  - test_keboola_materialize_uses_tmp_path_during_copy — documents the
    atomic-write contract: COPY targets .parquet.tmp, final swap to
    .parquet (no .tmp suffix on the result['path'])
  - existing test_run_materialized_pass_dispatches_keboola_to_keboola_extractor
    fixture updated: stack_url instead of url

Full sweep: 2505 passed, 25 skipped, 0 failed (modulo 8 pre-existing
internal_roles schema-migration failures called out in the task brief).
2026-05-01 20:58:17 +02:00
..
tests refactor: delete old sync pipeline — 9,500 lines removed 2026-03-31 07:50:37 +02:00
__init__.py Extract Keboola into connectors/keboola module 2026-03-09 12:22:16 +01:00
access.py feat(materialized): query_mode='materialized' for BigQuery + Keboola — admin SELECT → parquet → analyst 2026-05-01 20:25:56 +02:00
client.py fix: keboola client metadata_cache_path uses DATA_DIR instead of deleted config 2026-03-31 11:57:57 +02:00
extractor.py fix(materialized): address 4 Devin Review findings on PR #152 2026-05-01 20:58:17 +02:00