DooPourd 0.6.0

A comprehensive Python framework for parsing Verilog code and generating circuit diagrams (Verilog Parser + Circuit Visualization)

DooPourd - Verilog Parser & Circuit Diagram Generator

A comprehensive Python framework for parsing Verilog code and generating circuit diagrams (SVG/PNG).

GitHub: https://github.com/Dev-vesper/DooPourd
PyPI: https://pypi.org/project/DooPourd/
License: MIT

Features

• ✅ Verilog Parsing - Parse Verilog modules into Abstract Syntax Trees (AST)
• ✅ Lexical Analysis - Tokenize Verilog with full support for keywords, identifiers, operators
• ✅ Circuit Diagrams - Generate SVG and PNG circuit diagrams from Verilog
• ✅ AST Visualization - Generate graphical representation of code structure
• ✅ Logging System - Built-in debugging with detailed logs
• ✅ Command-Line Tool - Use via CLI without coding
• ✅ Cross-Platform - Works on Windows, Linux, macOS

Directory Structure

verilog_framework/
├── core/                      # Parser and Lexer components
│   ├── ast_nodes.py          # AST node definitions
│   ├── lexer.py              # Tokenization engine
│   └── parser.py             # Syntax parser
├── visualization/            # Graph and diagram generation
│   ├── visitor.py            # AST visitor pattern implementation
│   └── visualizer.py         # Graphviz-based visualization
├── verilogtoimage/          # Circuit diagram generation
│   ├── logger.py            # Logging utilities
│   ├── converters.py        # Yosys, netlistsvg, CairoSVG converters
│   └── pipeline.py          # Image generation pipeline
└── utils/                    # Utility functions

Installation

Basic Installation (Parsing Only - Lightweight!)

Works on Windows, Linux, macOS with just Python:

pip install DooPourd

This includes:

• ✅ Verilog parsing (lexer + parser)
• ✅ AST generation
• ✅ Port/declaration analysis

No external dependencies required!

With Visualization (Optional)

To visualize code structure as graphs:

pip install DooPourd[graph]

With Circuit Diagrams (Optional - Requires Linux/WSL)

To generate circuit diagrams (SVG/PNG):

pip install DooPourd[circuit]

Also requires Yosys and netlistsvg (Linux/WSL only):

# On Ubuntu/Debian WSL:
sudo apt-get install yosys netlistsvg

# Or use Docker:
docker run -it ubuntu:22.04 bash
apt-get update && apt-get install -y yosys npm
npm install -g netlistsvg

All Features

pip install DooPourd[all]

From source

git clone https://github.com/Dev-vesper/DooPourd.git
cd DooPourd
pip install -e .

Quick Start

✅ Works Everywhere (Windows/Linux/macOS)

The first 3 examples work with basic installation on any OS:

from verilog_framework.core import parse_verilog

# Your Verilog code
verilog_code = """
module adder(input a, input b, output sum);
    assign sum = a + b;
endmodule
"""

# Parse it
ast = parse_verilog(verilog_code)

# Get information
print(f"Module name: {ast.name}")
print(f"Number of ports: {len(ast.port_list)}")
print(f"Number of statements: {len(ast.statements)}")

2. Parse from File

from pathlib import Path
from verilog_framework.core import parse_verilog

# Read Verilog file
code = Path("my_module.v").read_text()

# Parse
ast = parse_verilog(code)

print(f"Module: {ast.name}")

3. Get Port Information

from verilog_framework.core import parse_verilog

code = """
module counter(
    input clk,
    input reset,
    output [7:0] count
);
    reg [7:0] count;
endmodule
"""

ast = parse_verilog(code)

# Get inputs
inputs = [p.name for p in ast.port_list if p.direction == 'input']
print(f"Inputs: {inputs}")

# Get outputs
outputs = [p.name for p in ast.port_list if p.direction == 'output']
print(f"Outputs: {outputs}")

Output:

Inputs: ['clk', 'reset']
Outputs: ['count']

---

🔧 Windows/Linux/macOS - Stop Here! ✅

Above examples (1-3) work on any OS! Continue with example 4 only if you have Linux/WSL.

---

4️⃣ Generate Circuit Diagram (Linux/WSL Only - Optional)

from verilog_framework.verilogtoimage import VerilogToImagePipeline

code = """
module full_adder(
    input a,
    input b,
    input cin,
    output sum,
    output cout
);
    assign sum = a ^ b ^ cin;
    assign cout = (a & b) | (cin & (a ^ b));
endmodule
"""

# Create pipeline
pipeline = VerilogToImagePipeline()

# Generate SVG
svg_file = pipeline.verilog_to_svg(code, "adder.svg")
print(f"SVG saved: {svg_file}")

# Generate PNG (requires CairoSVG)
try:
    png_file = pipeline.verilog_to_png(code, "adder.png")
    print(f"PNG saved: {png_file}")
except Exception as e:
    print(f"PNG generation skipped: {str(e)[:60]}")

Requires Linux/WSL:

sudo apt-get install yosys netlistsvg
pip install DooPourd[circuit]

---

5️⃣ Visualize Code Structure (Optional)

from verilog_framework.core import parse_verilog
from verilog_framework.visualization import GraphvizVisualizer

code = """
module test(input a, output b);
    assign b = a;
endmodule
"""

ast = parse_verilog(code)
visualizer = GraphvizVisualizer()
dot_code = visualizer.generate_dot(ast)

# Save to file
with open("structure.dot", "w") as f:
    f.write(dot_code)
    
print("Structure saved to structure.dot")

# Render to PNG (requires Graphviz installed)
try:
    import subprocess
    subprocess.run(["dot", "-Tpng", "structure.dot", "-o", "structure.png"])
    print("PNG rendered: structure.png")
except:
    print("Install Graphviz to render PNG")

Optional (for rendering to PNG):

# Ubuntu/WSL:
sudo apt-get install graphviz
# Or macOS:
brew install graphviz

---

Windows Support ✅

Good news: DooPourd core parsing works perfectly on Windows!

Feature	Windows	macOS	Linux
Parse Verilog	✅	✅	✅
Extract AST	✅	✅	✅
Analyze modules	✅	✅	✅
Graphviz visualization	⚠️ Need graphviz	✅	✅
Circuit diagrams (PNG)	⚠️ WSL only	✅	✅

Just install with: pip install DooPourd

No Yosys, no external tools needed!

Supported Verilog Features

Feature	Supported
Module declarations	✅
Ports (input/output/inout)	✅
Wire declarations	✅
Reg declarations	✅
Continuous assignments	✅
Always blocks	✅
Always @(posedge/negedge)	✅
Expressions (binary/unary)	✅
Comments	✅
Multi-line code	✅

Note: Some advanced Verilog features (functions, tasks, generate blocks) are not yet supported.

License

MIT