dataform-dependency-visualizer 0.2.4

Visualize Dataform table dependencies as interactive SVG diagrams

Dataform Dependency Visualizer

Generate beautiful, interactive SVG diagrams showing dependencies between Dataform tables.

Features

• 📊 Interactive SVG Diagrams - Visualize dependencies for each table
• 🎨 Color-Coded - Tables (blue), views (green), operations (orange)
• � JOIN Details - Shows JOIN types and ON conditions for each dependency
• �🔍 Master Index - Browse all tables in one HTML interface
• 📁 Schema Organization - Automatically organized by database schema
• ⚡ Pure Python - No Graphviz required

Installation

pip install dataform-dependency-visualizer

Prerequisites

• Python 3.10+
• Node.js
• @dataform/core ^3.0.0

# Install in your Dataform project
cd your-dataform-project
npm install @dataform/core@^3.0.0

Usage

1. Generate Dependencies Report

python -m dataform_viz.dataform_check > dependencies_text_report.txt

2. Generate Visualizations

# For all schemas
dataform-deps --report dependencies_text_report.txt generate-all

# For specific schema
dataform-deps --report dependencies_text_report.txt generate dashboard

# For individual table
dataform-deps --report dependencies_text_report.txt generate schema_name table_name

3. View Results

Open output/dependencies_master_index.html in your browser

Additional Commands

# Generate master index and open in browser
dataform-deps --report dependencies_text_report.txt index --open

# Custom output directory
dataform-deps --report dependencies_text_report.txt --output my_diagrams generate-all

# Cleanup Dataform issues (removes database references, fixes constants)
python -m dataform_viz.dataform_check --cleanup

Python API

from dataform_viz import DependencyVisualizer

viz = DependencyVisualizer('dependencies_text_report.txt')
viz.load_report()

# Generate for specific schema
viz.generate_schema_svgs('dashboard', output_dir='output')

# Generate all schemas
viz.generate_all_svgs(output_dir='output')

# Generate master index
viz.generate_master_index('output')

Understanding the Diagrams

Each SVG diagram shows:

• Center (Yellow): The table being viewed
• Left (Blue): Dependencies - tables this reads FROM, with JOIN details shown below each
• Right (Green): Dependents - tables that read FROM this
• Schema Labels: Database schema for each table
• Type Badges: table, view, incremental, operation
• JOIN Information: Type (LEFT/INNER/RIGHT JOIN) and ON conditions displayed in red below dependency nodes

Output Structure

output/
├── dependencies_master_index.html    # Main browser interface
├── schema_name/
│   ├── table1.svg
│   ├── table2.svg
│   └── ...
└── ...

Common Issues

"wwim_utils is not defined" or compilation errors

Run the cleanup utility:

python -m dataform_viz.dataform_check --cleanup

This removes:

• database: lines from config blocks
• database: parameters from ref() calls
• Undefined constant references

Empty diagrams

Ensure you're using the text format report:

python -m dataform_viz.dataform_check > dependencies_text_report.txt

Development

# Clone and install
git clone https://github.com/OshigeAkito/dataform-dependency-visualizer
cd dataform-dependency-visualizer
poetry install

# Run tests
poetry run pytest

# Type checking
poetry run mypy src/

License

MIT License - See LICENSE file

Links

• GitHub: https://github.com/OshigeAkito/dataform-dependency-visualizer
• Issues: https://github.com/OshigeAkito/dataform-dependency-visualizer/issues
• PyPI: https://pypi.org/project/dataform-dependency-visualizer/

Changelog

v0.2.3 (2026-01-21)

• NEW: JOIN information extraction from SQL queries
• Display JOIN types (LEFT, INNER, RIGHT, etc.) and ON conditions in SVG diagrams
• JOIN count summary shown on center table
• Detailed JOIN info displayed below each dependency node

v0.2.0 (2026-01-13)

• Added cleanup utility for database references
• Constant replacement functionality
• Improved error handling
• Enhanced documentation

v0.1.0

• Initial release
• SVG generation with color coding
• Master index generator
• Command-line interface