tff-core
Core architectural linter and fitness function engine for data transformation pipelines.
tff-core executes layer boundary validation, structural graph policies, schema contracts, and duplicate logic detection across dbt, SQLMesh, and Google Cloud Dataform projects.
Installation
Install tff-core with the adapter corresponding to your transformation engine:
# dbt adapter
pip install "tff-core[dbt]"
# SQLMesh adapter
pip install "tff-core[sqlmesh]"
# Dataform adapter
pip install "tff-core[dataform]"
# All adapters
pip install "tff-core[all]"
Architecture
| Subsystem | Function & Scope |
|---|---|
| AST & Semantic Parser | Extracts AST nodes and semantic relationships using SQLGlot without database connections. |
| Check Registry | Unified execution harness evaluating layer integrity, syntax bans, and duplicate CTEs. |
| Health Scoring | Computes weighted quality metrics (0–100) and penalty distributions. |
| Adapter Interface | Normalizes project manifests and configurations across pipeline engines. |
Documentation
For CLI usage, configuration specifications, and rule authoring, refer to the main documentation and the tff repository.
License
Distributed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for tff-core 0.26.0
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Total release size: 464.8 kB
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