Metadata-Version: 2.4
Name: pypgsvg
Version: 1.0.3
Summary: Generate SVG Entity Relationship Diagrams from PostgreSQL database dumps
Author-email: Daniel Blackburn <daniel@example.com>
License: MIT License
        
        Copyright (c) 2025 blackburnd
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/danielblackburn/pypgsvg
Project-URL: Bug Reports, https://github.com/danielblackburn/pypgsvg/issues
Project-URL: Source Code, https://github.com/danielblackburn/pypgsvg
Project-URL: Documentation, https://github.com/danielblackburn/pypgsvg#readme
Keywords: postgresql,database,erd,diagram,svg,graphviz,schema,visualization
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Database
Classifier: Topic :: Documentation
Classifier: Topic :: Software Development :: Documentation
Classifier: Topic :: Utilities
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: graphviz>=0.20.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0.0; extra == "dev"
Requires-Dist: black>=22.0.0; extra == "dev"
Requires-Dist: flake8>=4.0.0; extra == "dev"
Requires-Dist: mypy>=1.0.0; extra == "dev"
Provides-Extra: test
Requires-Dist: pytest>=7.0.0; extra == "test"
Requires-Dist: pytest-cov>=4.0.0; extra == "test"
Dynamic: license-file

# Python ERD Generator

A Python application that parses SQL dump files and generates Entity Relationship Diagrams (ERDs) using Graphviz.

## Features

- Parse PostgreSQL dump files to extract table definitions and relationships
- Generate interactive SVG Entity Relationship Diagrams
- Automatic color coding for tables with accessible color palette
- Support for complex SQL structures including foreign keys, constraints, and various data types
- Table filtering to exclude temporary/utility tables
- Comprehensive test suite with >90% code coverage

## Installation

1. Install pypgsvg:

```bash
pip install .
```

2. Ensure Graphviz is installed on your system:
   - **macOS**: `brew install graphviz`
   - **Ubuntu/Debian**: `sudo apt-get install graphviz`
   - **Windows**: Download from <https://graphviz.org/download/>

## Usage

### Basic Usage

Generate an ERD from your SQL dump file:

```bash
pypgsvg your_database.sql
```

This will create an SVG file with the same name as your input file (e.g., `your_database_erd.svg`).

### Example Output

Here's an example of the generated ERD from a sample database schema with users, posts, and comments:

[![Sample ERD](Samples/sample_schema_erd.svg)](Samples/sample_schema_erd.svg)

*Simple Blog Schema - showing basic relationships between users, posts, and comments*

---

For more complex databases, pypgsvg can handle extensive schemas with many tables and relationships:

[![Complex Database Schema](Samples/example.png)](Samples/schema_erd.svg)

*Complex Database Schema - demonstrating pypgsvg's ability to visualize large, real-world database structures*

*View the interactive SVG diagrams:*

- [Simple Schema Example](Samples/sample_schema_erd.svg)
- [Complex Database Schema Example](Samples/schema_erd.svg)

The diagram shows:

- **Tables** as nodes with their column definitions
- **Foreign key relationships** as directed edges between tables
- **Automatic color coding** for visual distinction
- **Accessible color palette** with proper contrast for readability

### Usage

Specify a custom output filename:

```bash
pypgsvg your_database_dump.sql --output custom_diagram.svg
```

View the diagram immediately after generation:

```bash
pypgsvg your_database_dump.sql --view
```

### Python API Usage

For programmatic use:

```python
from src.pypgsvg import parse_sql_dump, generate_erd_with_graphviz

# Load SQL dump
with open("your_database_dump.sql", "r", encoding='utf-8') as file:
    sql_content = file.read()

# Parse tables and relationships
tables, foreign_keys, errors = parse_sql_dump(sql_content)

# Generate ERD
if not errors:
    generate_erd_with_graphviz(tables, foreign_keys, "database_diagram")
    print("ERD generated successfully!")
else:
    print("Parsing errors found:", errors)
```

## Testing

Run the complete test suite with coverage:

```bash
# Run all tests with coverage
pytest

# Run specific test categories
pytest -m unit          # Unit tests only
pytest -m integration   # Integration tests only

# Run with verbose output
pytest -v

# Generate HTML coverage report
pytest --cov-report=html
open htmlcov/index.html  # View coverage report
```

## Project Structure

```text
├── src/
│   └── create_graph.py          # Main application code
├── tests/
│   ├── conftest.py              # Test fixtures and configuration
│   ├── test_utils.py            # Tests for utility functions
│   ├── test_parser.py           # Tests for SQL parsing
│   ├── test_erd_generation.py   # Tests for ERD generation
│   └── test_integration.py      # Integration tests
├── requirements.txt             # Python dependencies
├── pyproject.toml              # pytest configuration
└── README.md                   # This file
```

## Configuration

### Table Exclusion

The application automatically excludes tables matching certain patterns (defined in `should_exclude_table`):

- Views (`vw_`)
- Backup tables (`bk`)
- Temporary fix tables (`fix`)
- Duplicate tables (`dups`, `duplicates`)
- Match tables (`matches`)
- Version logs (`versionlog`)
- Old tables (`old`)
- Member data (`memberdata`)

### Color Palette

The ERD uses an accessible color palette with automatic contrast calculation for text readability following WCAG guidelines.

## Supported SQL Features

- `CREATE TABLE` statements with various column types
- `CREATE TABLE IF NOT EXISTS`
- `ALTER TABLE ... ADD CONSTRAINT ... FOREIGN KEY`
- Quoted identifiers
- Complex data types (numeric, timestamp, jsonb, etc.)
- Multiple constraint variations

## Error Handling

The application includes comprehensive error handling for:

- Malformed SQL syntax
- Missing table references in foreign keys
- Unicode encoding issues
- File reading errors

## Contributing

1. Follow PEP 8 style guidelines
2. Write tests for new functionality
3. Maintain >90% test coverage
4. Use type hints where appropriate
5. Update documentation as needed

## Dependencies

- `graphviz>=0.20.1` - For generating diagrams
- `pytest>=7.4.0` - Testing framework
- `pytest-cov>=4.1.0` - Coverage reporting
- `pytest-mock>=3.11.0` - Mocking utilities
