Cuts the [Unreleased] section into [0.46.0] in CHANGELOG.md and
bumps pyproject.toml. The user-visible content was already on main
via PR #190 (commit 28430ced); this is the release-cut commit that
should have been the last commit on that PR — splitting it out so
the operator-facing release artifact (tag + GitHub Release) lines up
with what's already deployed at :stable.
* 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.
Operator-and-analyst quality bundle: a security fix for the optional
Telegram bot, two CLI gaps closed, and three rounds of UX polish on
`agnes diagnose` and `agnes pull` so non-TTY consumers (CI runners,
Claude Code SessionStart hooks, sub-agent watchdogs) get readable,
actionable signal.
- Pairing-code RNG: random.choices -> secrets.choice (CSPRNG).
- Telegram script runner: refuse out-of-shape usernames before sudo -u.
CLAUDE.md.bak.<ISO-timestamp> before regenerating.
- agnes admin unregister-table <id> -> DELETE /api/admin/registry/{id}
- agnes admin update-table <id> --field=value ... -> PUT /api/admin/registry/{id}
response but never promotes the headline. BQ billing-equals-data check
downgraded warning -> info.
default (5 s / 1 MiB vs 30 s / 10%) so sub-agent watchdogs don't kill
the pull as a hung process. New env knobs:
AGNES_PULL_PROGRESS_INTERVAL_{SECONDS,BYTES}.
--include-schema (or ?include=schema) to opt back in.
Tests: 120 passed across the touched modules, including new tests for
each fix. Pre-existing failures on main (DB migration v1->v9, binary
rename) are unrelated and not introduced here.
The startup script runs on every boot but the metadata_startup_script
field is in lifecycle.ignore_changes — so a TF apply that changed
image_tag does NOT reach a long-lived VM until someone explicitly
recreates it. Meanwhile, operators commonly hand-edit /opt/agnes/.env
to pin a specific image (custom branch builds, staged rollouts).
Pre-fix, every boot rewrote .env from the baked-in template and
clobbered the operator's choice — concretely, a stop+start triggered
by a machine_type change would reset AGNES_TAG to whatever was in
the template at first provision, regardless of the operator's
intervening edit.
Now the script reads the existing .env (when present) for AGNES_TAG
and AGNES_TEMP_DIR; when those keys are set, the existing values
win over the template-computed ones. Logged on stdout when AGNES_TAG
disagrees with $IMAGE_TAG so an operator audit-trails the boot.
Fresh provisions are unchanged (no .env yet → template values land).
To force a TF-driven reset on an existing VM: rm /opt/agnes/.env
and reboot. Cut as infra-v1.8.0 — additive, downstream consumers
opt in by bumping the module ref.
The 'Add to group' dropdown on /admin/users/{id} silently filtered out
every Google-Workspace-managed group (rightly — the API would 409 on
POST). On deployments where Admin and Everyone are both Workspace-mapped
via AGNES_GROUP_{ADMIN,EVERYONE}_EMAIL and no custom Agnes groups exist
yet (FoundryAI prod + dev today), the picker showed only the literal
'— Pick a group —' option with the 'Add' button disabled. Operator had
no indication that they needed to create a custom group first.
Three states surface a hint below the picker now:
- user is already in every group (literally nothing left)
- every remaining group is Google-Workspace-managed (link to
/admin/groups + admin.google.com explainer)
- no groups exist at all
The skip-google-managed logic stays — POST would still 409 on those
rows, this just stops the empty-state from being a silent dead end.
Hook JSON path uses /reload-plugins (no restart needed); manual-mode
echo path was still telling the operator to /exit + restart. Both now
say /reload-plugins.
Tests renamed to *_reload_hint_* to match the new wording.
Claude Code's `/reload-plugins` slash command picks up newly installed
plugins into the running session without forcing the user to /exit and
restart Claude Code. The hook JSON `systemMessage` and `additionalContext`
both now point at it.
Tests updated to pin the new hint shape.
Without `--scope project`, `claude plugin update <name>@agnes` operated
at user scope (the default) instead of updating the project-scoped
install — so version bumps in the served manifest never propagated to
the workspace, even though `claude plugin install` correctly used
`--scope project` for the missing-plugin path.
Mirrors the install line in the same function. Any change refresh-
marketplace makes to a plugin must now stay in project scope —
consistent with the SessionStart hook firing per-workspace.
Adds end-to-end flow for installing and keeping the per-user filtered
Claude Code marketplace in sync with the user's Agnes stack
(admin RBAC grants \ MyAIStack opt-outs U /store installs).
Setup (one-liner in install prompt step 5):
`agnes refresh-marketplace --bootstrap` clones the per-user marketplace
bare repo to ~/.agnes/marketplace, strips PAT from the cloned origin
URL, registers the local path with Claude Code, and installs every
plugin in the served manifest at --scope project. Replaces a 15-line
inline shell sequence that tripped Claude Code's agent-driven `rm -rf`
permission gate.
Auto-refresh (SessionStart hook installed by `agnes init`):
`agnes refresh-marketplace --quiet` runs every Claude Code session,
fetches+resets the clone (server rebuilds as orphan commits, so
pull --ff-only is impossible), and version-aware reconciles:
- missing in workspace -> claude plugin install <name>@agnes --scope project
- version differs -> claude plugin update <name>@agnes
- matches -> skip
Don't auto-uninstall plugins that disappeared from the manifest --
a transient empty manifest from the server would wipe the stack.
Hook output: when --quiet AND something actually changed, emits Claude
Code hook JSON on stdout -- `systemMessage` (transient toast) and
`hookSpecificOutput.additionalContext` (model-side system reminder),
both carrying the change summary plus a "/exit + restart Claude Code"
instruction (Claude only scans plugins at session start).
Windows hook compatibility: the refresh-marketplace hook command is
wrapped in `bash -c "..."` because Claude Code on Windows runs hook
commands directly without invoking a shell, so `2>/dev/null || true`
would otherwise be passed as literal argv tokens.
Cross-cutting:
- cli/lib/marketplace.py: shared CLONE_DIR + MARKETPLACE_NAME constants.
- cli/lib/hooks.py: SessionStart now has two independent entries
(pull + refresh-marketplace) so a failure in one doesn't suppress
the other; legacy `da sync` and prior single-pull layouts upgrade
cleanly on re-init.
- PAT injection on every git fetch via per-invocation credential
helper (token in \$AGNES_TOKEN env, never in argv or .git/config).
- Pre-snapshot of installed plugins captured BEFORE
`claude plugin marketplace update` so silent auto-applied version
bumps still fire notifications.
- scripts/dev/agnes-client-reset.sh: cleans ~/.claude/plugins/marketplaces/agnes,
~/.claude/plugins/cache/agnes, drops uv build cache, documents
workspace-scoped residue that can't be enumerated from the script.
- app/web/setup_instructions.py: legacy AGNES_DEBUG_AUTH path also
uses clone (direct HTTPS marketplace add is broken end-to-end on
every Claude Code distribution -- stores response as single file,
plugin source paths then 404).
28 new tests (test_cli_refresh_marketplace.py) + extended hook + setup
template tests cover bootstrap, fetch+reset ordering, version-aware
reconcile, project-path filtering, hook JSON shape, and the bash-c
Windows wrapper invariant.
Add allow_stopping_for_update=true on google_compute_instance.vm. Without
it, a TF change to machine_type triggers ForceNew (destroy + recreate);
with it, the provider stops + mutates + restarts the VM in place, which
is what an operator resizing a running deployment expects. Tag as
infra-v1.7.0; consumers opt in by bumping the module ref.
See CHANGELOG.md for the full entry. (Bumped from 0.42.0 to 0.43.0 since
0.42.0 was taken by PR #208's backtick-rewriter fix during this branch's
review cycle.)
Single hook entry: 'agnes self-upgrade --quiet ... || true; agnes pull
--quiet ... || true'. Shell semicolon guarantees ordering across every
Claude Code version (no reliance on undocumented multi-hook execution
semantics); each segment's || true preserves the original property
that an upgrade failure does not abort the pull.
Reuses cli.update_check.check() for the version probe — extended with
bypass_disabled=True so explicit user-typed self-upgrade is not silenced
by AGNES_NO_UPDATE_CHECK (which is for the implicit warning loop).
Install path: uv tool install --force when uv is on PATH; otherwise
curl + pip via sys.executable (NOT system python3, NOT --user — both
would land outside the agnes venv and silently no-op the upgrade).
Smoke test execs the binary at the install-resolved path (uv tool dir
joined with agnes-the-ai-analyst/bin/agnes, or sys.executable's sibling
agnes for pip) — never via shutil.which, which can resolve a stale shadow
on PATH and produce a false-positive smoke pass on the OLD version. Smoke
also asserts --version output contains info.latest via PEP 440 Version()
equality (so 0.40.0 does not falsely match 0.40.10).
On smoke fail: rollback to last_known_good.json (written only after a
previous run's smoke passed). Rollback rc is captured and surfaced on
stderr if it also fails. First-ever upgrade or unrecoverable rollback
prints the canonical bootstrap recovery: curl -fsSL <server>/cli/install.sh | bash.
AGNES_SELF_UPGRADE_IN_PROGRESS=1 is set for the duration of the run
and propagated to the smoke-test subprocess. Layer B's _check_version_headers
honors the sentinel and skips the < min hard-stop, so an in-flight
upgrade can never sys.exit(2) itself.
--force invalidates the update_check cache BEFORE probing. --force +
offline = exit 1 with explicit stderr (without --force, offline is silent).
--quiet suppresses progress output but never gags failure stderr.
Every API response is inspected via httpx event_hooks. When the server
reports X-Agnes-Min-Version > local, CLI prints a remediation message
and exits 2. Latest-version drift continues to be handled by the
update_check warning loop — no double-warning on every API call.
Adds X-Agnes-Latest-Version and X-Agnes-Min-Version headers to every
/api/* response. CLI consumes these to hard-stop on incompatible drift.
MIN_COMPAT_CLI_VERSION ships at 0.0.0 — no enforcement until a deliberate
wire-protocol break bumps it.
Also dedupes app version logic: app/main.py:_app_version() helper deleted,
replaced by app/version.py:APP_VERSION as the single source of truth.
test_app_version.py rewritten to target app.version.
`_rewrite_user_sql_for_bigquery_query` does its own bare-name detection
(mirroring the non-RBAC parts of `_bq_guardrail_inputs`). The backtick
masking from #201 was applied to `_bq_guardrail_inputs` and the
forbidden-table loop, but missed this third site — so a registered
local-mode table name appearing as the table segment of a
user-supplied full backtick path (e.g. ``\`prj.ds.orders\`` matching
registered local ``orders``) tripped the cross-source guard and
forced every backtick-path query into the 50-100× slower
ATTACH-catalog fallback.
Mask once at the top of the function, route both the BQ-name
detection (line ~830) and the cross-source check (line ~867) through
the masked copy. New regression test
`test_local_name_inside_backtick_path_does_not_trip_cross_source`
proves the wrapper now wraps when it should.
Adds Pass 3 to `_bq_guardrail_inputs` that scans user SQL for full
backtick paths `<project>.<dataset>.<table>` and gates them
identically to the `bq."<dataset>"."<table>"` pass:
- Project must match the configured BigQuery data project
(`get_bq_access().projects.data`). Mismatch → HTTP 403
`bq_path_cross_project`.
- Path must point at a registered row. Unregistered → HTTP 403
`bq_path_not_registered`.
- Non-admin caller must hold a grant on the registered row's id.
Missing grant → HTTP 403 `bq_path_access_denied`.
Pre-fix, full backtick paths bypassed Agnes RBAC entirely — only the
service account scope limited reach. Post-fix the boundary matches
what `agnes catalog`-driven flows already enforce. Admin still
bypasses the per-id grant check but cannot bypass registration or
project match.
Pass 3 also seeds `dry_run_set` for resolved registered paths so the
cost-cap dry-run runs against the same physical table the user named
— composing cleanly with the Layer 2 fail-fast fallback.
When BQ rejects the rewritten dry-run SQL with `bq_bad_request`, the
cap-guard now retries with the user's ORIGINAL SQL instead of building
a synthetic `SELECT * FROM <table>` per registered table. The
synthetic path threw away user filters / projections / partition
predicates and routinely ballooned the estimate to "full table size",
falsely tripping `remote_scan_too_large` on legitimate narrow queries
(typical issue #201 trace: rewriter corrupts a backtick path → BQ
parse error → synthetic over-estimate → 400).
Behaviour:
- Rewritten SQL succeeds: same as before (issue #171 single-dry-run).
- Rewritten SQL parse-errors, original SQL succeeds: use original
estimate. Common case for users submitting BQ-native input.
- Both fail with `bq_bad_request`: HTTP 400 `remote_estimate_failed`
with a hint pointing at `agnes catalog` / BQ-native syntax. No
silent over-estimate.
- Non-parse BQ error (forbidden, upstream): still 502 as before.
This is a behaviour change for clients matching error kinds — failure
to estimate scan size now surfaces as `remote_estimate_failed`
instead of being masked behind `remote_scan_too_large` from the
synthetic path.
Replaces the existing `test_guardrail_falls_back_to_per_table_estimate_on_bq_parse_error`
(which pinned the old contract) with `test_fallback_tries_original_sql_first`
and `test_fallback_fails_fast_on_pure_duckdb_syntax`.
`agnes query --remote` corrupted user SQL when the request contained a
full BigQuery backtick path (`<project>.<dataset>.<table>`) whose
table segment matched a registered bare-name alias. The bare-name
rewriter used `\b` word-boundary matching against the lower-cased SQL;
both `.` and `` ` `` are non-word characters, so the regex fired
INSIDE the user's backtick path and produced malformed nested-backtick
SQL that BigQuery rejected at parse time.
Fix:
- Add `_mask_backticks(sql)` helper: replace each `…` segment with
spaces of equal length, preserving offsets so word-boundary
searches find positions only outside backticks.
- `_bq_guardrail_inputs` (bare-name pass + forbidden-table pass)
searches against the masked SQL.
- `_rewrite_bq_table_refs_to_native` Pass 1 splits the SQL on
`(\`[^\`]*\`)` and rewrites only the outside-backtick chunks. Pass
2 (`bq."ds"."tbl"` → backtick form) is unchanged — its prefix can't
appear inside backticks.
Adds three regressions covering the rewrite + guardrail paths.
Pre-existing test_orchestrator_skips_orphan_parquet_in_extracts caught
the regression: my filesystem fallback created master views for ANY
parquet on disk, including orphans where DELETE /api/admin/registry
removed the registry row but the parquet wasn't fully cleaned up.
Fix: load the set of registered materialized table_ids for THIS source
from table_registry before the scan, and skip any parquet whose stem
isn't in that set. If the registry read fails (test fixture, transient
DB error), skip the fallback entirely — orphan exposure is worse than
missing master view recovery.
Pre-existing test now passes. New regression test pins the orphan-skip
contract specifically for the filesystem-fallback path.
0.40.0 added _persist_materialized_inner_view in materialize_query, which
tried to open extract.duckdb from a fresh DuckDB handle to write the _meta
row + inner view. In production this conflicts with the same uvicorn
process's existing read-only ATTACH (orchestrator's analytics conn holds
extract.duckdb ATTACHed as <source_name> alias), and DuckDB single-process
file-handle uniqueness rejects with:
Binder Error: Unique file handle conflict: Cannot attach "extract"
— already attached by database "<source>"
The helper logs WARNING fail-soft, parquet stays canonical, but the
master view never appears via the meta path.
Fix: at the end of _attach_and_create_views, scan
<extract_dir>/data/*.parquet and CREATE OR REPLACE VIEW <id> AS
SELECT * FROM read_parquet('<path>') for any parquet whose <id> is not
already in the per-source tables list (= meta path didn't pick it up).
Decoupled from materialize_query open-handle race. Honors the same
view_ownership cross-connector collision rules as the meta path
(first-come-first-served via view_repo.claim).
Tests:
- filesystem-fallback fires when _meta row missing
- skipped when meta path already created the view (no shadow)
- skips invalid identifiers (e.g. parquet stem starting with a digit)
- doesn't crash when source has no data/ subdir
Pre-fix flow:
1. extractor subprocess writes _meta with N remote rows + creates N inner
views in extract.duckdb (rebuild_from_registry skips materialized rows
per design — explicit `continue` at line 389)
2. _run_materialized_pass calls materialize_query, which writes parquet
atomically + returns stats — but never updates _meta
3. orchestrator.rebuild scans _meta, finds only the N remote rows, creates
master views only for them. Materialized parquet is on disk but
invisible to /api/query → 400 'not yet materialized'
Symptom appears after every container recreate (the previous run's _meta
state is wiped because docker compose down nukes the named volume that
backs extract.duckdb on some compose layouts; even on volumes that
persist, the next extractor pass calls _create_meta_table which DROPs
+ CREATEs _meta cleanly).
Fix: after os.replace(tmp_path, parquet_path) in materialize_query, open
extract.duckdb (read-write), DELETE existing _meta row for table_id,
INSERT new one with query_mode='materialized', and CREATE OR REPLACE
VIEW <table_id> AS SELECT * FROM read_parquet(<path>). All inside a
single transaction so concurrent reads see either old or new state, not
torn rows. Fail-soft on lock contention or schema drift — parquet
remains canonical, next sync pass recovers.
Tests: 3 new in test_bq_materialize.py covering:
- meta + inner view registered after materialize, alongside existing
remote rows
- re-run replaces (not duplicates) the meta row
- skips inner-view registration when extract.duckdb doesn't exist yet
(fresh BQ-only deployment edge case)
In cross-project BQ setups (where billing != data), the SA typically has
serviceusage.services.use on the billing project but not on the data
project. The rewriter passed bq.projects.data as the first arg to
bigquery_query(), which BQ uses as the execution + billing project →
403 USER_PROJECT_DENIED.
Match the convention used everywhere else in the codebase
(app/api/v2_scan.py, app/api/v2_sample.py, app/api/v2_schema.py,
connectors/bigquery/extractor.py): backtick paths inside the inner SQL
use the **data** project (resolves the actual table location), the
bigquery_query() first arg uses the **billing** project (decides who
pays + which project the job runs under). For single-project deploys
the two are identical so the fix is a no-op there.
Test pins the cross-project case: data-prj for backticks, billing-prj
for the bigquery_query() first arg.
R3 final pass surfaced one issue, addressed:
R2#2 introduced PID-suffixed <target>.{pid}.tmp / .{pid}.partN to
prevent concurrent agnes pull invocations from yanking each other's
in-progress writes. The pre-clean inside _download_chunked /
_download_single_stream only deletes leftovers from the CURRENT
process's PID — files from a SIGKILL'd or crashed prior pull (any
other PID) are never touched and accumulate on disk forever.
Add _reap_dead_pid_leftovers(target_path) called at the start of both
download paths. Globs <target>.*.tmp / <target>.*.partN, extracts the
embedded PID, calls os.kill(pid, 0) to test liveness (POSIX standard
no-op probe), and unlinks files whose process no longer exists.
Permission-denied = process is alive but owned by another user → keep
the file (conservative). Windows users get the conservative 'keep'
default.
Two new tests pin the behavior — live-PID file preserved, dead-PID
.tmp + .partN reaped, bare-name (legacy) untouched, garbage filenames
skipped without raise.
R2 adversarial review surfaced 3 issues, all addressed:
#1 cli/client.py:572-577 outer try/except wrapped both _get_shared_client()
AND the actual download. A 401/403/404/5xx from the server triggered a
full second download attempt with a fresh client — wasted bandwidth on
hard failures, no fail-fast on revoked PAT. Narrowed the try to only
the shared-client construction; the download itself is no longer
retried under the fallback except.
#2 concurrent agnes pull invocations (e.g. SessionStart hook + manual
run) collided on bare <target>.tmp / <target>.partN paths — one process's
in-progress write got yanked by the other's cleanup, manifest hash
check then failed spuriously. Per-process suffix (<target>.{pid}.tmp,
<target>.{pid}.partN) makes intermediate files disjoint; the final
os.replace to the bare target is atomic so last-writer-wins.
#3 _looks_like_bq_rewrite_parse_error patterns 'Syntax error' could
false-positive on a query like WHERE log_msg = 'Syntax error in foo'
that fails for an unrelated reason (quota, network) and has the
literal substring echoed in the error text. Anchored to 'Syntax error: '
(with trailing colon) — BQ always emits the colon in this error
format, user SQL string literals normally don't.
R1 adversarial review surfaced 5 issues, all addressed:
#1 chunked download silently disabled in non-Caddy deployments (HEAD on
GET-only FastAPI route returns 405). _probe_range_support now falls back
to GET with Range: bytes=0-0 when HEAD fails — works against both
Caddy file_server (HEAD-friendly) and dev FastAPI direct (GET-only).
#2 parse-error fallback heuristic too broad — matched on Unrecognized
name / Function not found / No matching signature / Invalid cast,
which BQ surfaces for ordinary user-column typos. That triggered slow
ATTACH-catalog retry on every typo (2× latency tax). Narrowed to just
'Syntax error' / 'syntax error' which are the genuine DuckDB-vs-BQ
dialect mismatch markers.
#3 apply_bq_session_settings was only run on fresh-built pool entries,
not on reuse. An operator's /admin/server-config change to bq_query
_timeout_ms wouldn't propagate to long-lived pooled sessions until
restart. Fixed: re-apply on every pool acquire (idempotent + fail-soft).
#4 content-length sanity bound — a misconfigured proxy returning a
wildly inflated Content-Length would cause overlapping chunked Range
requests against the actual file → corrupt assembled output (caught
by manifest hash check, but only after wasted bandwidth). Cap at 100
GiB; above that, drop to single-stream.
#5 rewriter assumed every BQ row resolves under the single
bq.projects.data project. Bucket containing '.' suggests a project-
qualified bucket (multi-project deployment); rewriter would silently
target the wrong project. Conservative skip with regression test.
Address code-reviewer findings on the bigquery_query() rewrite path:
1. Outer LIMIT wrap — bigquery_query() materialises BQ result into DuckDB
before fetchmany sees it (vs ATTACH-catalog Storage Read API streaming).
A user 'SELECT *' against a billion-row remote table would buffer the
entire result before request.limit applied. Wrap rewritten SQL in an
outer 'LIMIT N+1' so the cap pushes into the BQ job itself.
2. Dollar-quoted inner SQL — naive replace("'", "''") doubling missed
DuckDB backslash-escape sequences (\\, \\n, \\t, …). A predicate
like 'WHERE name = ''O\\'Brien''' was unsafe under the doubling
path. DuckDB $bqq_inner$ … $bqq_inner$ form takes the inner SQL
verbatim with no escapes whatsoever. Falls back to legacy doubling
if user SQL improbably contains the literal tag.
3. Parse-error fallback — when the rewritten path fails with a BQ-side
parse / validation error (DuckDB-only syntax like ::INT cast that
survives identifier rewrite but BQ refuses), retry the user's
original SQL via the legacy ATTACH-catalog path so the request still
succeeds. Mirrors the existing dry-run fallback contract.
4. CHANGELOG — delete duplicate CLI bullets that landed under
already-released [0.38.1] (file corruption from merge — entries are
correctly under [0.39.0]).
