agnes-the-ai-analyst/scripts/README.md
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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.
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# 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
bash server/scripts/setup_views.sh
```
### `sync_data.sh`
Synchronize data from server, upload user files, and refresh DuckDB.
```bash
# 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.
```bash
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
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
bash server/scripts/sync_data.sh
```
4. **Analyze**: Use DuckDB database at `user/duckdb/analytics.duckdb`