Common Tasks¶
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Common Ingenious commands¶
Quick, task-oriented commands with links to deeper docs.
| Task | Command | Notes | Links |
|---|---|---|---|
| Initialize a new project | ingen_fab init new --project-name "dp" | Creates workspace repo layout and starter templates. Add --with-samples for sample project template | Quick Start, Workspace Layout |
| Configure workspace by name | ingen_fab init workspace --workspace-name "dp_dev" | Optionally create if missing with -c | CLI Reference → init |
| Generate storage artifacts | ingen_fab init storage-config | Generates lakehouse, warehouse, and SQL database artifacts from storage_config.yaml. Creates folders, updates variables | Quick Start, CLI Reference → init storage-config |
| Extract lakehouse/warehouse metadata | ingen_fab deploy get-metadata --target both -f csv -o ./artifacts/meta.csv | Flexible filters via --schema, --table | Deploy Guide, CLI Reference → deploy |
| Convert metadata for dbt project | ingen_fab dbt convert-metadata --dbt-project dbt_project | Converts metadata into dbt wrapper format. Add --metadata-file for custom CSV path | DBT Integration |
| Generate dbt notebooks | ingen_fab dbt create-notebooks -p my_dbt_project | Automatically configures dbt profile, prompts for lakehouse selection | DBT Integration |
| Generate dbt schema.yml | ingen_fab dbt generate-schema-yml -p my_dbt_project --lakehouse lh_bronze --layer staging --dbt-type model | Converts metadata to dbt schema.yml format for specific lakehouse and layer | DBT Integration |
| Build dbt models and snapshots | ingen_fab dbt exec -- stage run build --project-dir dbt_project | Proxy command to build dbt models and snapshots with automatic profile management | DBT Integration |
| Build dbt master notebooks | ingen_fab dbt exec -- stage run post-scripts --project-dir dbt_project | Proxy command to build dbt master notebooks with automatic profile management | DBT Integration |
| Set up dbt profile | Run any ingen_fab dbt command | Interactive lakehouse selection on first run, saves preference | DBT Integration |
| Generate DDL scripts from metadata | ingen_fab ddl ddls-from-metadata --lakehouse lh_silver | Generates DDL scripts from metadata (optional helper functionality) | CLI Reference → ddl |
| Generate DDL notebooks (Warehouse) | ingen_fab ddl compile -o fabric_workspace_repo -g Warehouse | Generates notebooks from DDL scripts | CLI Reference → ddl |
| Generate DDL notebooks (Lakehouse) | ingen_fab ddl compile -o fabric_workspace_repo -g Lakehouse | Uses PySpark notebooks | CLI Reference → ddl |
| Download Fabric artefacts from workspace | ingen_fab deploy download-artefact --artefact-name "rp_test" --artefact-type Report | For artefacts that are developed in Fabric | CLI Reference → deploy download-artefact |
| Compare metadata files | ingen_fab deploy compare-metadata -f1 before.csv -f2 after.csv -o diff.json --format json | Detects missing tables/columns, data type changes | Deploy Guide, CLI Reference → deploy |
| Deploy to an environment | ingen_fab deploy deploy | Requires FABRIC_WORKSPACE_REPO_DIR, FABRIC_ENVIRONMENT | Deploy Guide, CLI Reference → deploy |
| Upload python_libs to OneLake | ingen_fab deploy upload-python-libs | Performs variable injection during upload | Deploy Guide, CLI Reference → deploy |
DBT Profile Setup¶
The first time you run any dbt command, you'll be prompted to select a target lakehouse:
# First run - shows interactive selection
ingen_fab dbt create-notebooks -p my_project
# Output:
# Available Lakehouse Configurations:
#
# ┏━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
# ┃ # ┃ Prefix ┃ Lakehouse Name ┃ Workspace Name ┃
# ┡━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
# │ 1 │ bronze │ Bronze Layer │ Analytics │
# │ 2 │ silver │ Silver Layer │ Analytics │
# │ 3 │ gold │ Gold Layer │ Analytics │
# └───┴───────────┴──────────────────────┴───────────────────┘
#
# Select a lakehouse configuration by number [1]: 2
Your selection is saved and reused automatically for future commands in the same environment.