Data Engineering Toolkit compiler

The det CLI turns the controlled V4.0.2 official-ODCS Excel superset into canonical ODCS, DET execution metadata, and a readable dbt project. It includes safe questionnaire-based workbook creation, ODCS/DDL/dbt-to-Excel import and merge-safe synchronization, source-schema import, cross-sheet semantic/type validation, atomic post-sync generation, Data Contract synchronization, SQLFluff, and the isolated det prove acceptance flow. Data Contract CLI, dbt Core, DuckDB, and SQLFluff are default dependencies.

V4.0.2 makes the visible official Quality sheet authoritative, preserves advanced per-rule ODCS values, supports eight production warehouse providers, and adds mandatory 85.01% Python statement coverage. The generated dbt package has 98.53% DuckDB-scoped macro implementation coverage plus 100% public-API direct execution coverage and supports dbt Core plus Fusion-compatible projects. External resources are isolated behind brokers; reusable services interpret workbooks and input formats; independent components validate with stable diagnostic codes; and one emitter owns each artifact family. The CLI remains a thin exposer over ToolkitApplication.

Install

python -m pip install dbt-data-engineering-toolkit-compiler==4.0.2

The default installation includes Data Contract CLI, dbt Core, dbt-duckdb, DuckDB, and SQLFluff. Install one additional warehouse adapter per deployment environment, for example:

python -m pip install "dbt-data-engineering-toolkit-compiler[snowflake]"

Supported extras are athena, bigquery, clickhouse, databricks, duckdb, postgres, redshift, snowflake, and spark.

Workflow

Use this sequence to move from workbook design to validated, testable dbt delivery.

Step	Business action	Outcome	Command
1	Run the guided, safe workbook builder	Product basics; no demo rows by default	`det workbook build PRODUCT.xlsx`
2	Import or define target structures	ODCS model and property rows	`det workbook import ...`
3	Register/import upstream sources	Checked source fields and types	`det source import ...`
4	Define model inputs, mappings, and joins	Context-aware fields and executable cardinality checks	`det workbook refresh PRODUCT.xlsx`
5	Add contract rules on Quality; runtime handling on Operational Validation	ODCS tests, warnings, and quarantine with one clear authority	Use workbook sheets (no CLI command)
6	Validate the workbook	Actionable cross-sheet diagnostics	`det validate PRODUCT.xlsx`
7	Preview generated changes	No files changed	`det generate PRODUCT.xlsx --project-dir dbt_product --dry-run --prune`
8	Generate, sync, and lint	Post-sync ODCS + dbt + SQLFluff	`det generate ...; dbt deps; det check ...`
9	Run isolated acceptance	Contract, dbt tests, evaluator	`det prove PRODUCT.xlsx --project-dir dbt_product`
10	Merge later schema changes	Mappings and rules preserved	`det workbook sync ...`
Demo	Opt in only when explicitly wanted	Customer 360 training rows	`det workbook build demo.xlsx --sample-customer-data`

Quick start

det workbook build data_product.xlsx --no-input
det validate data_product.xlsx

The default is blank and does not add Customer 360 sample data. Use --sample-customer-data only when you explicitly want a demonstration workbook.

Continue with det --help and det workbook --help. The source repository root README contains the complete workbook-to-ODCS-to-dbt walkthrough, architecture, compatibility matrix, testing definitions, and deployment guide.

Development Status
- 5 - Production/Stable
Environment
- Console
Programming Language
Topic
- Database
Typing
- Typed

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