Propagate column selection and row filtering from data_description.md
through the BigQuery adapter to the BQ client. This enables exporting
only needed columns and applying date range filters at the SQL level,
critical for large DataView tables (e.g., 412-col unit_economics).
Zero-dependency profiler for Parquet/CSV files producing JSON profiles
with column statistics, histograms, alerts, and sample data.
Supports single files, directories, composite primary keys, and
optional HTML report generation.
Extend theming from 3 CSS variables (primary colors only) to 14
configurable properties covering colors, fonts, borders, and shape.
All values are optional with sensible defaults.
- New _theme.html include replaces duplicated inline injection
- Wire theme include into all 7 templates (base, login, dashboard,
catalog, admin_tables, activity_center, corporate_memory)
- Conditional font loading: skip default Inter when custom font_url set
- Config.theme_overrides() classmethod generates CSS variable dict
- Visual theme-reference.html guide for instance configurators
- Document all theme keys in instance.yaml.example
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.
The activity_center view was passing an empty dict but the template
expected nested keys (executive_summary, maturity_roadmap, etc).
Added _build_activity_data() that returns properly structured defaults.
Add docs/metrics/ to project structure, Business Metrics and Table
Registry patterns to implementation details, password auth provider
to extensibility section, fix sync command for returning users.
These Keboola-specific data source cards don't belong in the OSS repo.
The catalog now shows only dynamic content: Core Business Data (from
data_description.md) and Business Metrics (from docs/metrics/*.yml).
Also update auto-install.md with Business Metrics documentation,
pipeline diagram, and expanded checklist.
- Profiler computes file_size_mb from actual parquet files when
sync_state.json is absent (sample data / no-sync deployments)
- Catalog header falls back to profiles.json for aggregate stats
(tables count, total rows) when sync_state.json is missing
Generator now supports --format {csv,parquet,both}. Parquet mode
uses src.parquet_manager.ParquetManager for snappy compression,
proper column types (DATE, TIMESTAMP, DOUBLE), and metadata.
No more ad-hoc pandas conversion needed on the server.
- Check for existing SSH config entry before overwriting
- Use --no-perms --no-group in rsync (fixes macOS permission errors)
- Explicit mkdir instead of brace expansion (Claude Code compatibility)
- Gracefully handle missing server directories (empty server is OK)
- Conditional steps for setup_views.sh and CLAUDE.md template
- Get Started page now has 4 steps (folder, SSH key, pubkey, register)
- After account creation, dashboard shows prominent "Set up your local
environment" CTA with claude command and Copy Setup Instructions
- CTA only visible when user hasn't synced yet (last_sync is empty)
- Bottom banner demoted to subtle secondary style for returning users
- Merge steps 1-3 into a single dark terminal block with copy buttons
- Inline registration form with single-row layout for step 4
- Compact step 5 with Claude Code command and copy button on one line
- Full-width layout (960px) instead of narrow 640px column
- Everything fits on one screen without scrolling
Merge the two-column layout (setup steps + registration form) into one
unified flow. Step 4 now contains the registration form inline, creating
a natural top-to-bottom progression through the setup process.
- Add steps 2-4 (SSH key generation, copy pubkey, create account)
- Fix clipboard copy using textarea fallback for non-HTTPS contexts
- Generate simple plain-text Claude Code prompt instead of full YAML
- Show what Claude will do (SSH, rsync, DuckDB, CLAUDE.md)
- 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).
Add auth providers, standalone services, and service patterns
to project structure in README, ARCHITECTURE, and CLAUDE.md.
Reflects the completed extraction of auth, telegram bot,
ws gateway, corporate memory, and session collector.
Move dev_run.py and test_sync.sh from dev_scripts/ to scripts/,
eliminating the separate dev_scripts directory. Update scripts
README with development scripts section.
All references to server/telegram_bot/, server/ws_gateway/,
server/corporate_memory/, server/session_collector* updated
to their new locations under services/.
Extract 4 self-contained services into services/ module:
- server/telegram_bot/ -> services/telegram_bot/
- server/ws_gateway/ -> services/ws_gateway/
- server/corporate_memory/ -> services/corporate_memory/
- server/session_collector.py -> services/session_collector/
Each service now has its own systemd/ directory with .service and .timer files.
deploy.sh updated to auto-discover service units from services/*/systemd/*.
server/ now contains only deployment infrastructure (deploy.sh, setup scripts,
bin/ management tools, sudoers, nginx config).
All imports updated: webapp/app.py, server/bin/ scripts, systemd ExecStart paths.
Move all Jira-specific code into a self-contained connector module:
- 22 files moved via git mv (transform, service, webhook, scripts,
systemd units, tests, docs, bin helper)
- All imports updated to use connectors.jira.* paths
- Jira is now conditional: auto-detected via JIRA_DOMAIN env var
- Webapp registers Jira blueprint only when available
- Health service monitors Jira timers only when enabled
- Profiler loads Jira tables dynamically from filesystem
- Sync settings uses config-driven dependency validation
- Renamed keboola_platform_url -> custom_url in transform
- Updated deploy.sh, sudoers-deploy, backfill_gap.sh paths
- Fixed pytest.ini to skip live tests by default
H1 - Sanitize dev_docs/ for public release:
- Replace all real employee names with generic placeholders
(padak->admin1, matejkys->admin2, dasa->admin3, petr->john, etc.)
- Replace GCP project ID (kids-ai-data-analysis -> your-gcp-project)
- Replace server hostname (data-broker-for-claude -> your-server)
- Replace real IP address (34.88.8.46 -> YOUR_SERVER_IP)
- Replace internal FQDN with placeholder
- Covers: security.md, server.md, disaster-recovery.md, desktop-app.md,
session_explore.md, plan-rsync-fix.md, draft/*.md
H3 - webapp-setup.sh: validate sudoers syntax BEFORE copying to /etc/sudoers.d
- Prevents broken sudo if syntax is invalid
- Uses install -m 440 for atomic copy with correct permissions
M1 - setup.sh: deploy user created with /usr/sbin/nologin instead of /bin/bash
- CI/CD service account does not need interactive shell
M2 - config/loader.py: warn on missing env vars, validate webapp_secret_key
- _resolve_env_refs now logs warnings for unset ${ENV_VAR} references
- _validate_config checks auth.webapp_secret_key is non-empty
- Prevents Flask signing sessions with empty secret key
All 118 tests pass.
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.
