agnes-the-ai-analyst/pyproject.toml
ZdenekSrotyr 28430ced09
Keboola cutover: native parquet path + sync correctness + auto-discover protection (#190)
* 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.
2026-05-07 12:12:14 +02:00

120 lines
4.3 KiB
TOML

[project]
name = "agnes-the-ai-analyst"
version = "0.45.0"
description = "Agnes — AI Data Analyst platform for AI analytical systems"
requires-python = ">=3.11,<3.14"
license = "MIT"
readme = "README.md"
dependencies = [
# Core database
"duckdb>=0.9.0",
# Web framework (FastAPI)
"fastapi>=0.115.0",
"uvicorn[standard]>=0.32.0",
"python-multipart>=0.0.27",
"jinja2>=3.1.0",
"starlette>=0.41.0",
# Authentication
"PyJWT>=2.8.0",
"itsdangerous>=2.1.0",
"authlib>=1.6.11",
"argon2-cffi>=23.1.0",
# HTTP client. `h2` enables HTTP/2 multiplexing for the persistent
# CLI client used by `agnes pull` (one TCP connection serves N
# concurrent parquet streams + range chunks). `cli/client.py`
# gracefully falls back to HTTP/1.1 if h2 is missing, so this
# extra is for performance, not correctness.
"httpx>=0.27.0",
"h2>=4.1.0",
# CLI
"typer>=0.12.0",
"rich>=13.0.0",
# Configuration
"python-dotenv>=1.0.0",
"pyyaml>=6.0",
# Data processing
"pandas>=2.0.0",
"pyarrow>=12.0.0",
"pytz>=2024.1",
# SQL parsing — server-side WHERE validator for /api/v2/scan (app/api/where_validator.py)
# Minimum 30.x — older versions had walk() yielding (node, parent, key)
# tuples instead of expression nodes, which would silently bypass the
# WHERE-validator structural checks (isinstance(tuple, exp.Subquery)
# is always False). 30.x yields nodes directly.
"sqlglot>=30.0.0",
# Data source connectors
"google-cloud-bigquery>=3.0.0",
"google-cloud-bigquery-storage>=2.0.0",
# Google Workspace Cloud Identity / Admin SDK (Workspace group membership sync)
"google-api-python-client>=2.0.0",
# Profiler visualizations
"matplotlib>=3.8.0",
"numpy>=1.24.0",
# Claude Code marketplace endpoint — pure-Python git server mounted in FastAPI
"dulwich>=0.22.0",
"a2wsgi>=1.10.0",
# In-process TTL cache for marketplace etag (transitively present via
# google-auth, declared explicitly here because we depend on it directly).
"cachetools>=5.3.0",
# Per-IP rate limiting on auth endpoints (#45). In-process counters by
# default — fine for single-replica deploys. Multi-replica rollouts can
# swap the storage backend via slowapi's `storage_uri` (Redis, Memcached).
"slowapi>=0.1.9",
# LLM provider SDKs — core (not dev) because connectors/llm/*_provider.py
# is imported by services/{corporate_memory, verification_detector} which
# the scheduler drives in production. Promoted from [dev] in #176 to fix
# ModuleNotFoundError boot loops on default Compose deploys.
"anthropic>=0.30.0",
"openai>=1.30.0",
# Keboola Storage API SDK — used by:
# - `connectors/keboola/client.py` for admin-side bucket / table list
# (consumed from `app/api/admin.py` discover-and-register, table
# metadata refresh).
# Extraction itself uses the lightweight `connectors/keboola/storage_api.py`
# module (export-async + signed-URL download) which talks to Storage API
# directly via `requests` — no SDK dependency on the data-path side. The
# SDK stays for the metadata reads.
"kbcstorage>=0.9.0",
]
[project.optional-dependencies]
dev = [
"pytest>=9.0.0",
"pytest-timeout>=2.0.0",
"pytest-xdist>=3.0.0",
"faker>=24.0.0",
# jsonschema validates the corporate-memory extraction-tool golden fixtures
# under tests/test_corporate_memory_v1.py (extraction.json, correction.json,
# confidence_calibration.json). Production code does not depend on it.
"jsonschema>=4.0.0",
# FastAPI debug toolbar — gated behind DEBUG=1 env var in app/main.py.
# Provides per-request panels (headers, routes, timer, profiling, etc.)
# for local development. Never loaded in production (no DEBUG=1 there).
"fastapi-debug-toolbar>=0.6.3",
]
[project.scripts]
agnes = "cli.main:_run_with_clean_errors"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["app", "src", "connectors", "cli", "services", "config"]
[tool.ruff]
line-length = 120
target-version = "py313"
[tool.uv]
dev-dependencies = [
"pytest>=9.0.0",
"pytest-timeout>=2.0.0",
"pytest-xdist>=3.0.0",
"faker>=24.0.0",
"anthropic>=0.30.0",
"openai>=1.30.0",
"fastapi-debug-toolbar>=0.6.3",
]