Replaces the BigQuery wrap-view pattern with a discovery + scoped-fetch toolkit driven by the analyst's Claude session. Adds /api/v2/{catalog,schema,sample,scan,scan/estimate}, da catalog/schema/describe/fetch/snapshot/disk-info CLI commands, sqlglot-backed WHERE validator, process-local quota tracker, agent rails skill (cli/skills/agnes-data-querying.md). BREAKING: BQ wrap views off by default — set data_source.bigquery.legacy_wrap_views=true for one cycle. Backward-compat field_validator on primary_key. Catalog cache now matches documented 300s TTL with RBAC fresh per request. Cuts release v0.14.0.
* chore(oss): isolate customer-specific deploy bits from scripts/grpn/ (#88)
Vendor-neutralization step before public release. The directory mixed
two concerns: (1) generic ops scripts referenced from mainline OSS
infrastructure (TLS rotation, auto-upgrade cron) and (2) one operator's
hackathon manual-deploy helper with hardcoded GCP project IDs, VM names,
and admin emails. Splitting them per concern.
Moved (still in OSS, just under a vendor-neutral name):
- scripts/grpn/agnes-tls-rotate.sh → scripts/ops/agnes-tls-rotate.sh
- scripts/grpn/agnes-auto-upgrade.sh → scripts/ops/agnes-auto-upgrade.sh
Removed (belongs in private consumer infra repos, not upstream OSS):
- scripts/grpn/Makefile (hardcoded prj-grp-foundryai-dev-7c37, foundryai-development VM name, e_zsrotyr@groupon.com bootstrap email)
- scripts/grpn/README.md (GRPN hackathon deploy walkthrough)
- docs/superpowers/plans/2026-04-22-grpn-deploy-learnings.md (org-specific deploy log)
Cross-refs updated in README.md, CLAUDE.md, docs/DEPLOYMENT.md,
docker-compose.yml. CHANGELOG entry flags BREAKING (ops) for any
consumer infra repo that installs these scripts via path-based systemd
timers.
This is the first wave of #88 — the remaining leaks (test data with
prj-grp-dataview-prod-1ff9, AIAgent.FoundryAI tags in OpenMetadata test
fixtures, docstrings in connectors/openmetadata/enricher.py) will be a
separate, smaller PR.
Refs #88.
* chore(oss): comprehensive vendor-neutralization (#88 wave 2 + review fixes)
PR #94 review found that the original wave-1 grep was scoped wrong and
many leaks survived. This commit closes wave 1 properly AND folds in all
wave-2 anonymization in a single pass — easier to review than two PRs.
Wave-1 review-fix corrections:
- Caddyfile: scripts/grpn/agnes-tls-rotate.sh → scripts/ops/ (the original
wave-1 grep filter excluded extensionless files like Caddyfile).
- CHANGELOG bullet rewritten — original wording implied an in-repo migration
for infra/modules/customer-instance/, which is wrong (the TF module embeds
the script inline via heredoc, never sourced from scripts/grpn/). Now
flags downstream consumer infra repos only.
- infra/modules/customer-instance/variables.tf: Czech docstring with `grpn`
example → English description with `acme, example` placeholders.
Wave-2 anonymization:
- Code docstrings (connectors/openmetadata/{client,transformer,enricher}.py,
src/catalog_export.py, scripts/duckdb_manager.py): prj-grp-… →
my-bq-project / prj-example-1234, AIAgent.FoundryAI → AIAgent.MyAgent,
FoundryAIDataModel → AnalyticsDataModel.
- Test fixtures (4 files): same set of replacements — 157 tests still pass.
- .github/workflows/keboola-deploy.yml: "Groupon-side dev VMs" comment →
generic "per-developer dev VMs".
- docs/auth-groups.md + scripts/debug/probe_google_groups.py:
kids-ai-data-analysis project name → acme-internal-prod placeholder.
- 5 planning/spec docs under docs/superpowers/{plans,specs}/2026-04-21-*:
hardcoded IPs (34.77.94.14, 34.77.102.61) → <dev-vm-ip>/<prod-vm-ip>;
GRPN/Groupon → Acme/another-customer; prj-grp-… → prj-example-….
- scripts/switch-dev-vm.sh deleted — hackathon-era helper hardcoded to a
specific shared dev VM. Per-developer dev VMs are the supported pattern.
Final grep `groupon|grpn|foundryai|prj-grp|groupondev|34\.77\.(94|102)\.…|kids-ai-data`
returns zero hits (excluding CHANGELOG.md historical entries).
CHANGELOG entry expanded to document both waves under one bullet, with
the BREAKING (ops) clarification about the TF module being unaffected.
Refs review of #94, closes#88.
* fix(oss): close remaining #94 review-2 findings (Czech, padak refs, CHANGELOG)
Reviewer of PR #94 round 2 caught 4 remaining items the wave-2 pass missed:
1. infra/modules/customer-instance/variables.tf had Czech descriptions on
8 more variables. Previous review only flagged line 19; this round
audited the rest. Translated lines 2, 28, 42-46 (heredoc), 60, 65, 71,
78, 84 to English. Same review concern: a Terraform module that is
the customer-facing API surface in Czech is unfit for OSS distribution.
2. infra/modules/customer-instance/outputs.tf had Czech descriptions on
four outputs. Same fix.
3. docs/padak-security.md referenced a private repo (padak/keboola_agent_cli#206)
in two places. Replaced with generic 'tracked upstream in the auth-CLI repo'
per CLAUDE.md vendor-agnostic rule (no cross-refs to private repos).
4. scripts/fetch-env-from-secrets.sh:41 had a Czech comment.
Translated.
5. CHANGELOG cosmetic: bullet said 'AIAgent.FoundryAI -> AIAgent.MyAgent'
but the actual code uses both MyAgent (in docstrings) and Example
(in test fixtures). Reworded to mention both targets.
Final grep across all shipping file types (.md, .py, .yml, .yaml, .sh,
Makefile, .json, .tf, .tpl, Caddyfile, .toml) for groupon|grpn|foundryai|
prj-grp|groupondev|34.77.94.14|34.77.102.61|kids-ai-data|padak/keboola_agent_cli
returns ZERO hits (excluding CHANGELOG.md). Czech-diacritic grep across
.tf/.toml/Caddyfile/Makefile/.yml returns ZERO hits.
157/157 OpenMetadata + DuckDB tests still pass.
* fix(oss): close#94 round-3 leaks (env.template, instance.yaml.example, padak typo)
Round-3 reviewer caught two MUST-FIX leaks the round-2 grep missed
(grep was scoped to extensions that did not include .template / .example
suffixes — the audit was right, the previous grep was not paranoid enough):
1. config/instance.yaml.example:114 — '(optional - Groupon-specific)' brand
leak in a shipping config example. Replaced with '(optional)'.
2. config/.env.template:68 — stale path 'scripts/grpn/agnes-tls-rotate.sh'
in operator-facing env-template comment. The script lives at
scripts/ops/ now (commit 16a85cc); this comment had been pointing
operators at a non-existent path.
3. docs/padak-security.md:188 — phrase duplication 'tracked in tracked
upstream' from a sloppy substitution in round-2. Trivial wording fix.
Final paranoid grep across .md/.py/.yml/.yaml/.sh/Makefile/.json/.tf/.tpl/
Caddyfile/.toml/.template/.example/.env* with the full token set
(groupon|grpn|foundryai|prj-grp|groupondev|34\.77\.94\.14|34\.77\.102\.61|
kids-ai-data|padak/keboola_agent_cli) returns ZERO hits, excluding
CHANGELOG.md historical entries.
* fix(oss): #94 round-4 — QUICKSTART.md + rename padak-security.md
Devin Review caught two findings on the latest round-3 commit:
1. docs/QUICKSTART.md:67 still pointed users at the deleted
scripts/switch-dev-vm.sh. A Quickstart user following step-by-step
would hit a missing-file error at the final step. Replaced with the
inline gcloud-ssh equivalent that the Removed bullet documents.
2. docs/padak-security.md filename retains the personal identifier
'padak'. The PR fixed the body content (replaced
padak/keboola_agent_cli#206 references with generic wording) but
missed the filename. Renamed to docs/security-audit-2026-04.md
(date-anchored, vendor-neutral). Updated the historical CHANGELOG
link to point at the new path with an inline note about the rename.
* fix(oss): redact remaining hardcoded IPs from planning docs + remove default email
Devin Review caught two more leaks:
1. scripts/fetch-env-from-secrets.sh line 16 had a hardcoded
personal-email default (zdenek.srotyr@keboola.com). Replaced with
':?' bash error so SEED_ADMIN_EMAIL must be explicitly set —
safer than carrying any specific identity.
2. Planning docs still had 35.195.96.98 and 34.62.223.189 (legacy
prod/dev IPs) that the round-1 IP-replace pattern missed (it only
targeted 34.77.x.x). Generic regex redaction across all five
planning docs replaces every public IP with <redacted-ip>,
preserving private/loopback/IAP ranges.
Add admin curation layer between AI extraction and knowledge distribution.
Admins (km_admin flag in instance.yaml) can approve, reject, mandate, and
revoke knowledge items. Mandatory items distribute to all targeted users
automatically.
Three governance modes (configurable per instance):
- mandatory_only: admin controls everything, no user voting
- admin_curated: admin controls, users vote as feedback signal
- hybrid: mandatory from admin + optional from user voting
Three approval workflows:
- review_queue: nothing published without admin approval
- auto_publish: items go live immediately, admin intervenes retroactively
- threshold: confidence-based auto-publish (Phase 5)
Includes:
- 9 admin action functions (approve/reject/mandate/revoke/edit/batch/...)
- 11 new admin API endpoints under /api/corporate-memory/admin/
- Immutable audit log (audit.jsonl)
- Audience targeting via groups
- Automatic migration of existing items to "approved" status
- km_admin_required auth decorator
- 69 tests covering all governance logic
- Backward compatible: no config = legacy wiki behavior
Replace hardwired Anthropic API calls with a pluggable provider system.
Each deployment configures its AI provider in instance.yaml — switching
between Anthropic, LiteLLM, OpenRouter, or any OpenAI-compatible proxy
is a config change, not a code change.
New connectors/llm/ module:
- StructuredExtractor Protocol with extract_json() interface
- AnthropicExtractor: direct Anthropic SDK with retry + backoff
- OpenAICompatExtractor: any OpenAI-compatible proxy with three-layer
structured output fallback (json_schema -> json_object -> prompt)
- Configurable structured_output policy (strict/json/auto)
- Custom exception hierarchy (auth/rate_limit/timeout/format/refusal)
- Zero secrets in logs: no API keys, prompts, or responses logged
Reviewed by: Google Gemini, Claude Sonnet, OpenAI GPT-5.4.
Security audit passed with all critical findings resolved.
Add src/remote_query.py CLI module enabling the AI agent to run SQL
queries spanning local Parquet tables and remote BigQuery tables in a
single DuckDB session on the server. Two-phase protocol: BQ sub-queries
(--register-bq) fetch filtered/aggregated data, then DuckDB SQL (--sql)
joins everything.
Safety: COUNT(*) pre-check, memory estimation (2GB cap), row limits
(500K per BQ sub-query, 100K final result).
Changes:
- New src/remote_query.py with CLI, BQ registration, output formatting
- Add bq_entity_type field to TableConfig (view vs table routing)
- Extract create_local_views() from duckdb_manager.py for reuse
- Update claude_md_template.txt with remote query agent instructions
- Update example configs with remote_query section and docs
- 52 new tests (42 remote_query + 10 bq_entity_type), all passing
Instead of hardcoded Python constants, load profiler settings from config:
- instance.yaml: profiler section with all parameters
- Defaults: fallback to sensible defaults if config not found
- Centralized: all profiler tuning in one place, no code changes needed
Add OpenMetadata REST API connector and enricher to merge table/column metadata
from OpenMetadata catalog at sync and query time.
Changes:
- connectors/openmetadata/client.py: HTTP client for OM API
- connectors/openmetadata/enricher.py: Data enrichment with TTL cache
- tests/test_openmetadata_*: Unit tests for client and enricher
- src/config.py: Add catalog_fqn field to TableConfig
- src/data_sync.py: Use enricher in _generate_schema_yaml (catalog > BQ API > data_description.md)
- webapp/app.py: Initialize enricher, enrich catalog data with tags/tier/owners/url
- config/instance.yaml.example: Document openmetadata section
Features:
- FQN auto-derivation: bigquery.{table.id}
- TTL cache (default 1h) to avoid repeated API calls
- Graceful degradation: disabled if token missing, silent on HTTP errors
- Column description priority: catalog > BQ API > (none)
- Table description priority: catalog > data_description.md
BigQuery connector that syncs BQ tables to local Parquet files via PyArrow
(no CSV intermediate step). Supports full refresh, timestamp-based
incremental (via incremental_column), and partition-based sync strategies.
- connectors/bigquery/client.py: BQ API wrapper with ADC auth, parameterized
queries, metadata cache, cross-project support (job project != data project)
- connectors/bigquery/adapter.py: DataSource implementation with merge/dedup
- src/config.py: Add incremental_column field to TableConfig
- 72 unit tests (mocked, no GCP SDK required)
Move hardcoded Keboola SVG logo from 4 templates into config.
Templates now use {{ config.LOGO_SVG | safe }}.
Default falls back to Keboola logo when not configured.
- Support comma-separated domains in auth.allowed_domain config
- Use full email as system username (user@domain.com -> user_domain_com)
to avoid collisions with reserved names and across domains
- Update both auth providers (google, email) for multi-domain display
- Add tests for username generation and update email auth tests
New pluggable auth provider that sends passwordless sign-in links.
Works with domain restriction (same as Google OAuth). Falls back to
showing the link in browser when SMTP is not configured (dev mode).
Phase 1 - Internal reference cleanup:
- Delete dev_docs/meetings/ (internal meeting notes/transcripts)
- Replace hardcoded usernames (padak/matejkys/dasa) with deploy/generic
- Replace "Internal AI Data Analyst" with "AI Data Analyst"
- Replace keboola/internal_ai_data_analyst URLs with your-org/ai-data-analyst
- Replace /tmp/keboola_load/ with /tmp/data_analyst_staging/ in dev_docs
Phase 2 - Deployment hardening:
- Tighten sudoers wildcards to explicit paths (visudo, sudoers cp)
- setup.sh creates all groups (data-ops, dataread, data-private) and deploy user
- webapp-setup.sh copies sudoers-webapp from repo instead of inline definition
- deploy.sh conditional copy for data_description.md (not in git for OSS)
- deploy.sh ownership changed to deploy:data-ops for /data/{scripts,docs,examples}
Phase 3 - Config and misc:
- Add ${ENV_VAR} interpolation to config/loader.py
- Expand config/instance.yaml.example with all sections (admins, deployment, auth, etc.)
- Create config/.env.template for secret values
- Add MIT LICENSE
- Fix .gitignore: add .venv/, docs/data_description.md
- Fix README.md: CSV status Planned, remove metrics/, update license text
- Translate Czech comments in requirements.txt to English
- Fix test_account_service.py: mock username mapping instead of relying on instance config
All 118 tests pass.
Open-source AI data analyst platform extracted from internal repo.
Includes data sync engine, Keboola adapter, Flask web portal,
server deployment scripts, and configuration templates.
