AI-Cognitive-Leap/agnes-the-ai-analyst
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Petr b0e4749b0d Replace hardcoded 'data-analyst' SSH alias with configurable $SSH_HOST 
Read SSH alias from .sync_connection file at script start (default:
'data-analyst' for backward compatibility). All 32 occurrences of
hardcoded 'data-analyst:' and 'ssh data-analyst' replaced with $SSH_HOST.
2026-03-15 00:03:07 +01:00
..
activate_venv.sh Initial commit: OSS data distribution platform 2026-03-08 23:31:28 +01:00
backfill_gap.sh Extract Jira into connectors/jira module 2026-03-09 11:17:50 +01:00
collect_session.py Initial commit: OSS data distribution platform 2026-03-08 23:31:28 +01:00
dev_run.py Merge dev_scripts/ into scripts/ 2026-03-09 13:11:36 +01:00
duckdb_manager.py Add per-partition streaming sync and hybrid query architecture 2026-03-12 13:20:41 +01:00
generate_sample_data.py Add --format parquet using project's ParquetManager 2026-03-10 21:46:20 +01:00
generate_user_sync_configs.py Initial commit: OSS data distribution platform 2026-03-08 23:31:28 +01:00
init.sh Initial commit: OSS data distribution platform 2026-03-08 23:31:28 +01:00
README.md Merge dev_scripts/ into scripts/ 2026-03-09 13:11:36 +01:00
setup_views.sh Initial commit: OSS data distribution platform 2026-03-08 23:31:28 +01:00
standalone_profiler.py Add standalone DuckDB-based data profiler script 2026-03-11 15:12:04 +01:00
sync_config_template.yaml Initial commit: OSS data distribution platform 2026-03-08 23:31:28 +01:00
sync_data.sh Replace hardcoded 'data-analyst' SSH alias with configurable $SSH_HOST 2026-03-15 00:03:07 +01:00
test_sync.sh Merge dev_scripts/ into scripts/ 2026-03-09 13:11:36 +01:00
update.sh Initial commit: OSS data distribution platform 2026-03-08 23:31:28 +01:00

README.md

Scripts

Helper scripts for working with AI Data Analyst project.

These scripts are synced from the server into server/scripts/ on the analyst's machine.

Available Scripts

setup_views.sh

Initialize or refresh DuckDB views on Parquet files.

bash server/scripts/setup_views.sh

sync_data.sh

Synchronize data from server, upload user files, and refresh DuckDB.

# Recommended: update scripts first, then sync
rsync -avz data-analyst:server/scripts/ ./server/scripts/   # Linux/macOS
scp -r data-analyst:server/scripts/* ./server/scripts/      # Windows fallback
bash server/scripts/sync_data.sh

# Other options:
bash server/scripts/sync_data.sh --dry-run  # Preview what would be synced (no changes)
bash server/scripts/sync_data.sh --push     # Only upload user/ to server

What sync does:

  1. Self-update check - detects if sync_data.sh changed, asks to re-run if so
  2. Downloads server/docs/, server/scripts/, server/metadata/ from server
  3. Updates CLAUDE.md from latest template
  4. Downloads server/parquet/ data files (with --delete to remove old files)
  5. Uploads user/ directory to server (backup, no --delete)
  6. Syncs Python environment to server
  7. Validates DuckDB - if corrupted, deletes and recreates from parquets
  8. Reinitializes DuckDB views (CREATE OR REPLACE VIEW for all tables)

Self-update mechanism: The script checks its own checksum before and after syncing scripts. If it detects it was updated, it exits with a message asking you to run sync again. This ensures you always run the latest sync logic.

DuckDB corruption recovery: If DuckDB file is corrupted (e.g., interrupted sync), it's automatically detected and recreated. All data is safe in parquet files - DuckDB only contains VIEW definitions.

Development Scripts

dev_run.py

Flask development server with authentication bypass for local testing.

python3 scripts/dev_run.py

Starts a local Flask server at http://127.0.0.1:5000 with:

  • Auth bypass routes (/dev-login, /dev-catalog) - no OAuth required
  • Debug mode with hot reload

test_sync.sh

Test rsync reliability with the data server.

bash scripts/test_sync.sh           # Full test sync
bash scripts/test_sync.sh --dry-run # Preview only

Typical Workflow

  1. First time setup: Follow bootstrap.yaml instructions
  2. Before analysis: Sync latest data 
    bash server/scripts/sync_data.sh
  3. Analyze: Use DuckDB database at user/duckdb/analytics.duckdb