## Summary
Brings the Keboola connector to feature parity with the legacy internal data-analyst's per-table sync strategies. Closes the four documented gaps from the spec branch (`zs/keboola-connector-specs`):
- **Typed parquet** in the legacy SDK extraction path — column types from Keboola Storage metadata (provider cascade `user > ai-metadata-enrichment > keboola.snowflake-transformation`) survive the CSV → parquet roundtrip; invalid date strings (`'0000-00-00'`) and invalid numeric strings (`'Non-Manager'`) become NULL while keeping the column's typed schema. Pre-fix everything was VARCHAR.
- **Incremental sync** via Storage API `changedSince` — opt-in per table; pulls only delta rows, merges into the existing parquet by `primary_key` (drop_duplicates with keep='last'). Cuts daily extraction from O(full table) to O(delta).
- **Partitioned sync** — flat per-partition layout `data/<table>/<key>.parquet` (e.g. `2026_05.parquet`), per-affected-partition merge for daily updates, chunked initial load with 1-day overlap and 2-empty-chunk stop heuristic.
- **`where_filters`** — server-side row filter with date placeholders (`{{today}}`, `{{last_3_months}}`, `{{start_of_3_months_ago}}`, etc.) resolved at sync time. Force the SDK path; reject `incremental + where_filters` combination at API layer (changedSince already filters temporally).
## Architecture
- **Schema migration v25 → v26**: 7 new columns on `table_registry`. Existing `sync_strategy` column reused (pre-v26 it was inert catalog metadata; post-v26 the extractor dispatches off it).
- **Per-table dispatcher** in `extractor.run()` routes to one of `_extract_via_extension` (full_refresh + extension), `_extract_via_legacy` (full_refresh + filters or extension fallback), `extract_incremental`, or `extract_partitioned`.
- **API conflict policy**: `incremental + where_filters` → 422; `partitioned + query_mode='remote'` → 422; `partitioned ⇒ partition_by required`.
- **Admin UI**: third "Direct extract (Storage API)" radio in the Keboola Register / Edit modals, alongside existing "Whole table (extension)" and "Custom SQL". When selected, exposes a v26 sync-strategy panel with conditional fields per strategy.
## Test plan
- [x] **Unit + module** — 134 v26 tests covering migration, repo, parquet_io, where_filters, incremental (compute_changed_since + merge_parquet + extract_incremental E2E), partitioned (key derivation + merge_partition + chunked windows + extract_partitioned E2E), extractor dispatcher, admin API validators, PUT field clearing, registry-shape → dispatcher bridge
- [x] **HTML form structure** — all v26 inputs + visibility classes + JS payload fields verified in rendered template
- [x] **Real Keboola roundtrip** — registered a small test table as `sync_strategy='incremental'` against a test Storage project, triggered two syncs:
- Sync 1: `changedSince=None` → full pull → 9 rows typed parquet
- Sync 2: `changedSince=last_sync - 1d window` → 9 delta rows merged with 9 existing → 9 after dedup on primary_key (PK merge confirmed)
- [x] **Browser UX** — agent-browser session against a local uvicorn: login → admin/tables → register modal → switch radios → verify field visibility per strategy → submit → edit existing row → switch to Direct/Incremental → save → confirm DB persistence
- [x] **Regression** — no regressions in the broader 3252-test suite (3 pre-v26 tests updated for the deprecation-marker removal + schema-version bump; 2 pre-existing environment-sensitive test failures unrelated to this change)
## Bugs caught + fixed during E2E
The browser + real-Keboola roundtrip exposed four bugs the unit tests missed:
1. **JS visibility race** — two competing `forEach` loops set `display=''` then `display='none'` on form elements sharing `kb-strategy-incremental kb-strategy-partitioned` classes (window_days + max_history_days are reused across strategies). Fix: single-pass selector with class-based visibility resolver.
2. **PUT cannot clear field** — pre-v26 `updates = {k: v ... if v is not None}` collapsed "omitted from body" and "sent as null" into the same case, so admin couldn't switch a partitioned row back to full_refresh and have stale `partition_by` clear. Fix: `model_dump(exclude_unset=True)`.
3. **Subprocess DB lock conflict** — `_read_last_sync` reopened `system.duckdb` while the parent server held the write lock (subprocess contract at `app/api/sync.py:_run_sync` line 260). Fix: parent injects `__last_sync__` into table_config before subprocess spawn.
4. **Wrong KBC table_id** — `extract_incremental` / `extract_partitioned` built the Storage API table_id from the registry row's slugified `id` (`circle_inc`) instead of `bucket.source_table` (`in.c-finance.circle`), producing 404s. Fix: prefer `bucket+source_table`; fall back to `id` only when bucket empty.
## Operator notes
- Existing tables stay on `full_refresh` after migration; admins opt individual tables in via `agnes admin register-table --sync-strategy ...`, the Keboola Edit modal, or `POST/PUT /api/admin/registry`.
- `merge_parquet` and `merge_partition` use `pd.concat + drop_duplicates`, loading both existing and delta into pandas RAM. For tables in the multi-million-row range this may OOM — switch to `partitioned` strategy for those (per-partition merge keeps memory bounded). Documented in `### Internal` of the changelog entry.
- Date placeholders are resolved at **sync time**, not register time — a typo'd `{{lasst_week}}` is accepted at register and surfaces only when the next sync runs. By design (rolling windows need late-binding).
## Spec source
The four corresponding plans on the `zs/keboola-connector-specs` branch under `docs/superpowers/plans/2026-05-07-0[1-4]-*.md` capture the design rationale and link back to internal repo references for each subsystem.
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## Summary
- Catalog enrichment for `query_mode='remote'` rows: `rows`, `size_bytes`, `partition_by`, `clustered_by` per table (BQ + Keboola providers).
- `/api/v2/schema/{id}` cache miss: 2 BQ jobs → 1 (-50%) via shared `fetch_bq_columns_full`.
- All four catalog/schema/sample/metadata caches flush on registry change; single-row re-warm scheduled.
- Automatic cache warmup at server startup (bounded concurrency, opt-out via `AGNES_SKIP_CACHE_WARMUP=1`).
- SSE-driven freshness toolbar on `/admin/tables` with progress bar, log, and per-row badge.
- New admin doc `docs/admin/query-modes.md` — single source of truth on `local` / `remote` / `materialized` choice.
Closes#155.
Closes#156.
## Test plan
- [x] 65+ targeted tests pass across 11 new test modules + 3 modified ones.
- [x] No DB migration; no wire-break; `MIN_COMPAT_CLI_VERSION` unchanged.
- [ ] Reviewer: register a remote BQ table via `/admin/tables`, observe the toolbar populates within ~2 s and the per-row badge transitions warming → fresh.
- [ ] Reviewer: trigger `Re-warm all`, verify SSE log scrolls and `cacheWarmupBar` progresses.
- [ ] Reviewer: edit a registered row's bucket, verify `agnes schema <id>` returns updated columns immediately (no 1-hour staleness).
- [ ] Reviewer: confirm `agnes admin register-table --query-mode remote` prints the new IAM-smoke-check hint.
## Notable design decisions
- BigQuery `INFORMATION_SCHEMA.TABLE_STORAGE` is the only valid scope for size+rows (verified live 2026-05-07; dataset-scoped doesn't exist). Region resolved from `instance.yaml.data_source.bigquery.location` → `bq.client().get_dataset(...)` → fall back to legacy `__TABLES__`.
- VIEW handling: TABLE_STORAGE returns no rows for views, fall through to `__TABLES__` (also empty) → `TableMetadata(rows=None, size_bytes=None, partition_by=..., clustered_by=...)`. Null size signals analyst Claude to apply existing CLAUDE.md guidance.
- `size_bytes` is `active_logical_bytes + long_term_logical_bytes` — full BQ scan reads both; reporting only active undercounts aged partitioned tables.
- Source-agnostic provider seam: per-source `connectors/<source>/metadata.py:fetch(MetadataRequest)`; dispatcher in `app/api/v2_catalog.py:_metadata_provider_for` lazily imports per source_type so a Keboola-only deployment doesn't pay the BQ-extension import cost.
- Warmup non-blocking: FastAPI `lifespan` schedules `asyncio.create_task(_warm_catalog_caches_bg)` before `yield`. Per-row failures isolated.
## Out of scope
- Profile / column histograms / dimension cardinality for remote tables (separate issue).
- Onboarding nudge ("you have 0 remote tables, consider registering some BQ ones") — separate UX call.
- Provider plug-in registration via entry-points (the dispatch table is a hardcoded if-tree today; one line per future source).
## Release
Bumps `pyproject.toml` 0.46.1 → 0.47.0 (main shipped 0.46.0 + 0.46.1 during this PR — see commit `d98976ec`). New CHANGELOG section under `## [0.47.0] — 2026-05-07`.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
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* fix: cutover regressions + parallel Keboola legacy fallback
Bundled fixes from a fresh-deploy run on a Keboola Storage backend with
the block-shared-snowflake-access feature flag — DuckDB Keboola
extension's per-table scan can't access bucket schemas, so the legacy
kbcstorage Storage-API client is the only working path.
CUTOVER REGRESSIONS
- agnes pull hash mismatch on every Keboola local-mode table —
src/orchestrator.py:_update_sync_state stored md5(mtime+size)[:12]
while the CLI compares against full 32-char content MD5. Now stores
the same content MD5 the materialized SQL path already used.
- Trailing-slash sanitization in connectors/keboola/access.py and
extractor.py — DuckDB Keboola extension's ATTACH fails when the URL
ends in / (canonical form).
- src/profiler.py:TableInfo.description becomes optional — two call
sites instantiated without it, crashing the profiler pass.
- scripts/ops/agnes-auto-upgrade.sh: chown on UID change — older images
ran as root, current runs as agnes (uid 999). Reads target uid:gid
from /etc/passwd inside the new image and chowns ${STATE_DIR},
/data/extracts, /data/analytics when the digest moves.
- POST /api/sync/trigger is now singleton per process — two
near-simultaneous trigger calls each forked an extractor subprocess,
fought for extract.duckdb's file lock, starved uvicorn, flipped the
container to unhealthy. Trigger now returns 409
(sync_already_in_progress) when held; _run_sync acquires non-blocking.
PARALLEL LEGACY FALLBACK
- Process pool fan-out for the _extract_via_legacy queue (default 8
workers, override via AGNES_KEBOOLA_PARALLELISM). Process pool, not
thread pool, because connectors/keboola/client.py:export_table does
os.chdir(temp_dir) — process-global, so threads raced and slice files
landed in the wrong directory ("[Errno 2] No such file or directory:
'<job_id>.csv_X_Y_Z.csv'").
- Extractor subprocess timeout 1800s -> 3600s (configurable via
AGNES_EXTRACTOR_TIMEOUT_SEC). 28+ tables × multi-minute Keboola export
jobs need the headroom on telemetry-class projects.
- Process group cleanup on timeout — Popen(start_new_session=True) puts
the extractor in its own group. On timeout the parent SIGTERMs the
group (10s grace) then SIGKILLs stragglers. Without this, the pool
workers were reparented to PID 1 and continued holding open Keboola
Storage export jobs. Inline extractor script also installs a SIGTERM
-> sys.exit(143) handler so the with ProcessPoolExecutor(...) block
__exit__ runs cleanly.
Tests: existing tests that patched subprocess.run updated to patch
subprocess.Popen with a _FakePopen stand-in (same exit-code-injection
contract). Two tests that exercised the parallel path forced
AGNES_KEBOOLA_PARALLELISM=1 to keep mocks alive (mocks don't ride into
ProcessPoolExecutor subprocesses).
Squashed onto current main (was 7 commits + multi-commit CHANGELOG +
agnes-auto-upgrade.sh conflicts; squash avoids per-commit conflict
resolution against main's flat-mount STATE_DIR refactor and 0.38.0
release cut).
* feat(keboola): Storage API direct extract path; drop extension data path
The DuckDB Keboola extension's COPY routes through Keboola QueryService,
which is unreliable on linked-bucket projects (extension v0.1.6 fixes
that case but isn't yet in the community CDN, and pre-fix any project
with the block-shared-snowflake-access feature flag couldn't see bucket
schemas at all). Move the extract path off the extension entirely and
talk to the Storage API directly via signed-URL download — works on any
project, regardless of extension state.
connectors/keboola/storage_api.py (NEW)
Lightweight client built on requests.Session. Three endpoints:
- POST /v2/storage/tables/{id}/export-async (kicks off job)
- GET /v2/storage/jobs/{id} (poll until done)
- GET /v2/storage/files/{id}?federationToken=1 (signed URL detail)
- GET <signed_url> (download bytes)
Supports sliced exports (manifest + per-slice signed URLs) and gzipped
payloads. ExportFilter dataclass mirrors the Keboola filter spec
(whereFilters / columns / changedSince / limit) and handles JSON
round-trip with the registry's source_query column. Token redaction
in error messages. Bounded exponential backoff on job polling.
No cloud-SDK dependency on the data path; thread-safe.
connectors/keboola/extractor.py
- materialize_query() rewritten: takes bucket/source_table/source_query
(JSON filter spec), exports via KeboolaStorageClient, converts CSV
to parquet via DuckDB, atomic os.replace. Same return shape so
sync.py downstream code stays uniform with the BQ branch.
- _extract_via_legacy() also moved to Storage API direct (kept the
name for caller compatibility with _legacy_worker / the parallel
batch extractor). Per-call temp directories — no os.chdir, threads
don't race.
app/api/sync.py
_run_materialized_pass for source_type='keboola' rows now constructs a
KeboolaStorageClient (replaces KeboolaAccess) and passes
bucket/source_table/source_query to materialize_query. Reuses one
client across rows for HTTP keep-alive. Sources keboola URL from env
too (KEBOOLA_STACK_URL) when instance.yaml doesn't have stack_url
configured.
cli/commands/admin.py
discover-and-register defaults Keboola rows to query_mode='materialized'
(NULL source_query = full table), matching the v26 migration's
unification of the local/materialized split for Keboola. BigQuery and
Jira keep their per-source defaults.
src/db.py
Schema bump 25 → 26. Migration: UPDATE table_registry SET
query_mode='materialized' WHERE source_type='keboola' AND
query_mode='local'. NULL source_query on those rows means "full table
export" — same effective behavior the local mode provided, but now
via Storage API instead of the extension.
pyproject.toml
kbcstorage dep stays (admin-side bucket/table list still uses the
SDK in app/api/admin.py / connectors/keboola/client.py); only the
data path is migrated off the SDK. Comment updated to reflect the
new boundary.
tests
- test_keboola_storage_api.py (NEW, 19 tests): ExportFilter parsing,
HTTP client (token redaction, retry logic, polling), download_file
(single, gzipped, sliced), end-to-end export_table_to_csv.
- test_keboola_materialize.py rewritten: mocks KeboolaStorageClient
instead of FakeAccess; same atomic-write + zero-rows + unsafe-id
contracts.
- test_sync_trigger_keboola_materialized.py: registry rows now carry
bucket+source_table+JSON-shape source_query.
114+ Keboola-impacted tests green locally.
* test: schema version assertion bumped to 26 alongside the keboola query_mode migration
* fix(keboola): cutover hot-patches surfaced on agnes-dev
Five small fixes that were applied as in-container hot-patches during
agnes-dev cutover and need to be on the source-of-truth image so a fresh
upgrade does not undo them.
- app/api/sync.py: auto-discover gate considers the WHOLE registry (any
source, any mode), not just rows where source matches and query_mode
is local. After the v25→v26 keboola materialized migration an
instance can have 30 materialized rows and zero local rows; the
previous gate kept re-firing _discover_and_register_tables every
scheduler tick, creating duplicate auto-discovered rows with the
wrong bucket prefix every time.
- app/api/admin.py: _discover_and_register_tables reassembles the
bucket as <stage>.<bucket-id> (e.g. in.c-finance) instead of
dropping the stage prefix; default query_mode for keboola is now
materialized (the v26 contract); validator allows NULL source_query
for keboola materialized rows (full-table export via Storage API
export-async, no SQL needed).
- cli/commands/admin.py: register-table mirrors the server validator
(NULL source_query allowed for source_type=keboola); --bucket help
text generalized to cover both BQ dataset and Keboola bucket id.
- connectors/keboola/extractor.py: max_line_size=64 MiB on
read_csv_auto so embedded JSON / SQL cells (kbc_component_configuration
in particular) do not trip the default 2 MiB ceiling.
- connectors/keboola/storage_api.py: GCP backend support — when the
Storage API returns a manifest whose slice URLs are gs://
references with a gcsCredentials block, rewrite to the JSON REST
download endpoint and authenticate with the issued OAuth bearer
token; redact tokens in any surfaced error string.
* test: align with new keboola materialized + auto-discover-gate contracts
- test_admin_keboola_materialized: rename
test_register_keboola_materialized_rejects_missing_source_query →
test_register_keboola_materialized_accepts_missing_source_query.
v25→v26 introduced 'keboola materialized with NULL source_query
means full-table export via Storage API export-async' as the
default registration shape; the rejection case is no longer the
contract.
- test_sync_filter: add list_all() to _StubRegistry. The auto-discover
gate in _run_sync now keys off the WHOLE registry (not just local
rows) so materialized-only Keboola instances do not re-trigger
discovery on every tick.
* feat(keboola): native parquet export — skip CSV roundtrip
Storage API export-async accepts fileType={csv,parquet}. Switching the
materialized sync to parquet eliminates the CSV → DuckDB COPY → parquet
roundtrip that pinned a single uvicorn worker over 4 GiB on multi-GB
tables (read_csv with all_varchar + max_line_size=64MB has to
materialize the whole CSV in memory before COPY can stream out a
parquet). Snowflake UNLOAD on Keboola's side already produces typed,
self-contained parquet files; the extractor downloads them and renames
into place.
Two cases:
- **Single-file** export (small table): file_info.url points at one
signed URL; download_file streams chunks straight to .parquet.tmp
and we're done. No DuckDB.
- **Sliced** export (Snowflake UNLOAD respects MAX_FILE_SIZE — 16 MiB
default — so anything larger arrives as N parquet slices): each
slice is a complete parquet file with its own footer; naive concat
would corrupt them. download_file_slices keeps the slices as
separate files in a tempdir, then DuckDB COPY (SELECT * FROM
read_parquet([slice0, slice1, ...])) merges them into one
consolidated parquet. DuckDB streams row groups during this — peak
memory bounded to one row group (~1 MiB) regardless of source size.
The legacy CSV path stays as the explicit opt-in via source_query=
'{"file_type":"csv"}' for projects whose backend can't UNLOAD
parquet (none known today; cheap escape hatch). Backward-compat alias
KeboolaStorageClient.export_table_to_csv kept.
Also fixes a latent bug in download_file's gzip detection: previous
heuristic flagged any unencrypted file as gzipped, which would have
corrupted parquet downloads at gunzip time. Name-suffix-only now.
* fix: tempdir leak cleanup, every 0m schedule, /sync/trigger body shapes
Three small self-contained fixes uncovered during agnes-dev cutover.
- connectors/keboola/extractor.py: tempfile.TemporaryDirectory now uses
ignore_cleanup_errors=True so a worker death mid-write doesn't leave
multi-GiB stale slice trees on the boot disk. (12 GiB seen after a
disk-full crash where TemporaryDirectory's own cleanup also raised
and got swallowed.)
- src/scheduler.py: is_valid_schedule accepts 'every 0m' (interval=0
= always due). Force-resync of an errored row no longer requires
waiting out the default 'every 1h' interval — admin can flip the
schedule, trigger, then flip back.
- app/api/sync.py: POST /api/sync/trigger accepts both ['table_id']
(legacy bare-array body) and {'tables': ['table_id']} (matches the
response payload shape, more discoverable for clients building
requests by hand). Malformed bodies return 422 with a structured
detail; null/missing means 'sync everything' as before.
Tests cover: tempdir cleanup on raise (sliced parquet path),
is_valid_schedule + is_table_due 'every 0m' acceptance, and trigger
body parametrized matrix (8 valid shapes + 6 rejection cases).
* fix: targeted-trigger filter in materialized pass + auto-upgrade defer
Two operational gaps observed during agnes-dev cutover, in the same
sync-routing area.
- _run_materialized_pass now takes a 'tables' arg and skips rows not in
the target set with reason='not_in_target'. POST /api/sync/trigger
with a body of tables previously only scoped the legacy extractor
subprocess — the materialized pass kept iterating every due
materialized row, so an admin asking to re-sync kbc_job re-ran
every other due materialized row alongside it. Match on registry id
OR name (admins commonly pass either form). tables=None preserves
the no-filter behavior.
- New GET /api/sync/status (public, no auth) returns {locked: bool}
off _sync_lock.locked(). agnes-auto-upgrade.sh probes this before
docker compose up -d and exits 0 with a 'deferred recreate' log
line if a sync is in flight — the next 5-min cron tick retries.
Pre-fix, an auto-upgrade triggered mid-sync would recreate the
uvicorn worker and kill the in-flight extractor / Snowflake-UNLOAD
download (observed when kbc_job's first 7-day retry got SIGKILLed).
Connection failures in the probe fall through to the upgrade —
being stuck on a wedged image is worse than interrupting a
hypothetical sync.
* fix: auto-discover protects admin overrides + surfaces drift
Two real-world incidents on agnes-dev drove this:
1. kbc_job was registered manually with the correct
(in.c-kbc_telemetry, kbc_job) coordinates. A naive auto-discover
re-run would have inserted a SECOND kbc_job row at the slugified
id 'in_c-keboola-storage_kbc_job' (where Keboola's discovery
places it) — and that row's Storage API export-async 404s.
2. An earlier auto-discover bug stripped the stage prefix from
bucket ids ('c-finance' instead of 'in.c-finance'), inserting
137 rows whose syncs all failed.
Fix:
- _discover_and_register_tables now builds a plan first
(_build_keboola_discovery_plan) classifying each discovered table
into one of new / existing_match / existing_drift / invalid, then
executes only the 'new' bucket. Drift rows are reported with both
sides of the disagreement plus drift_kind:
- same_id_diff_coords: registry has the same id but different
bucket / source_table (admin migrated coords inline).
- name_collision: discovery's slugified id differs from any
registry id, but the discovered .name matches an existing row's
.name (case-insensitive). Catches the kbc_job case.
- Bucket detection now prefers the API's authoritative bucket_id
field (separate field on the Keboola tables.list response,
normalised by KeboolaClient.discover_all_tables). Falls back to
id-string parsing only when bucket_id is missing (older fallback
path inside discover_all_tables).
- Endpoint POST /api/admin/discover-and-register?dry_run=true
returns the plan without writing — would_register, drift,
invalid lists. Lets an operator audit before merging discovery
with a registry that has admin overrides.
Removed 'every 0m' from test_register_request_rejects_malformed_sync_schedule
— the runtime started accepting it in the previous commit (force-resync
override) and the validator follows suit.
* feat(keboola): AGNES_TEMP_DIR routes tempfiles off overlayfs /tmp
The container's /tmp lives on the boot disk's overlayfs (29 GiB on
agnes-dev, shared with /var). Snowflake UNLOAD of a wide table writes
slices into per-call /tmp tempdirs that fill multi-GiB / many-slice
exports long before the dedicated data disk fills. agnes-dev hit
100% boot-disk while the 20 GiB data disk had 15 GiB free.
connectors.keboola.storage_api.get_temp_root() reads AGNES_TEMP_DIR;
mkdirs the target on first use; unset / empty / unwritable falls
back to None (system tempdir, OSS-pre-fix behaviour). Both
materialize_query (parquet path) and _extract_via_legacy (CSV
fallback) and the sliced-CSV concat path in storage_api use the
helper now.
docker-compose.yml defaults AGNES_TEMP_DIR=/data/tmp on app, scheduler,
and extract services. The data volume is the dedicated disk in
production layouts and a plain docker volume in single-disk
dev/laptop setups — same blast radius as the previous /tmp default
on the latter, no regression.
* fix(keboola): per-table fallback to legacy Storage-API client
The DuckDB Keboola extension's per-table COPY fails with
`Schema '..."in.c-..."' does not exist or not authorized` on
projects whose Snowflake backend doesn't expose bucket schemas
to the storage-token-derived QueryService role
(keboola/duckdb-extension#17). ATTACH itself succeeds, so the
existing extension-level fallback in `_try_attach_extension`
never triggers — the table is just marked failed.
- Promote `kbcstorage>=0.9.0` from optional to core dep so the
legacy client import in `_extract_via_legacy` doesn't crash
default installs with `ModuleNotFoundError`.
- Wrap `_extract_via_extension` in a per-table try/except so a
scan failure retries via `_extract_via_legacy` instead of
recording `tables_failed` and moving on.
Slower than the extension path, but produces correct parquets
on affected projects while the upstream extension fix lands.
* test(keboola): cover per-table extension→legacy fallback
Two existing tests mocked _extract_via_extension to throw and asserted
the original message survived in result["errors"]. With per-table
fallback, the new flow retries via _extract_via_legacy — which on the
mock URLs would throw a different (404 / DNS-fail) error, replacing the
asserted message.
- Mock _extract_via_legacy alongside _extract_via_extension in
test_network_timeout_during_extraction +
test_partial_failure_continues +
test_all_tables_fail_returns_full_failure_stats so the assertion
observes the final propagated error from the fallback chain.
- Add test_extension_per_table_failure_falls_back_to_legacy that
exercises the new behavior directly: extension scan fails with the
QueryService schema-not-authorized message
(keboola/duckdb-extension#17), legacy succeeds, parquet ends up
queryable.
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).
Closes M15 from issue #81 — SQL injection via attacker-controlled
identifiers in connectors/keboola/extractor.py and
connectors/bigquery/extractor.py.
Lifted _validate_identifier from src/orchestrator.py into a new
src/identifier_validation.py shared module (single source of truth for
both layers). Two validator policies:
- validate_identifier (strict, ^[a-zA-Z_][a-zA-Z0-9_]{0,63}$) for
table_name — matches the orchestrator's rebuild-time check, so dashed
names fail fast at extraction rather than being silently dropped.
- validate_quoted_identifier (relaxed, accepts dashes/dots) for
bucket/dataset/source_table — Keboola in.c-foo and BigQuery
my-dataset are legitimate, just need to be safe inside `"..."`.
Both extractors skip-and-continue on unsafe rows (logged + counted in
failure stats); _extract_via_extension re-validates as defense-in-depth.
71/71 extractor + orchestrator tests pass.
Refs #81 Group D.
- In src/orchestrator.py _attach_remote_extensions: escape token with '' before passing to ATTACH
- In connectors/keboola/extractor.py _try_attach_extension: escape token with '' before passing to ATTACH
Prevents SQL injection if token contains single quotes.
Add _atomic_swap_db helper that removes stale WAL files before and after
moving the temp DuckDB into place. Apply CHECKPOINT before close in both
orchestrator and Keboola extractor so DuckDB flushes WAL before the swap.
- Legacy extractor now uses read_csv(all_varchar=true) to avoid type
inference errors (e.g. seniority column typed as DOUBLE with string values)
- DEPLOYMENT.md rewritten based on actual dev VM deployment experience:
deploy key setup, DuckDB write locking, env reload gotchas, bootstrap flow
Extractors with remote tables now write a _remote_attach table into
extract.duckdb so the orchestrator can re-ATTACH external extensions
at query time. The mechanism is source-agnostic — any connector can use it.
- Keboola extractor writes _remote_attach + creates views on kbc.*
- Orchestrator reads _remote_attach, installs extension, reads token from env
- Graceful degradation: missing token → warning, local tables still work
Three-pronged fix for DuckDB lock conflicts:
1. WAL mode on system.duckdb — enables concurrent readers + writer
2. Sync trigger runs extractor as subprocess (not background task) —
separate process = separate DuckDB connections, no lock conflict
3. Both extractor and orchestrator write to .tmp then atomic rename —
avoids lock conflict with API reads on extract.duckdb/analytics.duckdb
Fixes#9 permanently.
ZdenekSrotyr
