- services/telegram_bot/config.py: NOTIFICATIONS_DIR now uses DATA_DIR fallback
- src/profiler.py: DATA_DIR now uses main DATA_DIR env var instead of PROFILER_DATA_DIR
- services/telegram_bot/dispatch.py: WS_GATEWAY_SOCKET_PATH now uses WS_GATEWAY_SOCKET env var
Same issue as config.py - profiler's TableInfo and parser required
primary_key and sync_strategy, breaking auto-profile after sync
when daily_deal_traffic (remote-only) is in config.
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
Replace SAMPLE_THRESHOLD + SAMPLE_SIZE with single SAMPLE_SIZE:
- If table > SAMPLE_SIZE: sample that many rows
- Otherwise: use all rows
Cleaner, easier to configure.
Server has 8GB RAM with other services running. DuckDB defaults to
using all available memory, causing OOM killer when profiling large
tables (22M rows, 39 cols triggered 7.5GB RSS -> killed).
- 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
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
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.
