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Add comprehensive documentation and comments

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- Add detailed docstrings and inline comments to all source files
- Create README with installation, usage, and Claude recreation guide
- Add pyproject.toml for pip installation
- Add MIT LICENSE file
- Document architecture, design patterns, and MCP server structure

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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MIT License
Copyright (c) 2024 Corey Hahn
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.

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# Vivado MCP Server
A Model Context Protocol (MCP) server that enables AI assistants like Claude to directly interact with AMD/Xilinx Vivado FPGA development tools.
## Features
- **Session Management**: Start/stop persistent Vivado TCL sessions (avoids 30s startup per command)
- **Project Management**: Open/close Vivado projects (.xpr files)
- **Design Flow**: Run synthesis, implementation, and bitstream generation
- **Reports & Analysis**: Get timing summaries, utilization reports, and design analysis
- **Design Queries**: Explore hierarchy, ports, nets, and cells
- **Simulation**: Control Vivado's integrated simulator (xsim)
- **Raw TCL**: Execute arbitrary Vivado TCL commands for advanced operations
## Requirements
- Python 3.10+
- AMD/Xilinx Vivado installed (tested with 2023.2+)
- Vivado must be in your PATH, or specify the full path when starting a session
## Installation
### From GitHub
```bash
git clone https://github.com/coreyhahn/vivado_mcp.git
cd vivado_mcp
pip install -e .
```
### Configure Claude Code
Add to your Claude Code MCP configuration (`~/.claude/claude_desktop_config.json` or project-level `.mcp.json`):
```json
{
"mcpServers": {
"vivado": {
"command": "vivado-mcp"
}
}
}
```
Or if you want to specify the Python interpreter:
```json
{
"mcpServers": {
"vivado": {
"command": "python",
"args": ["-m", "vivado_mcp"]
}
}
}
```
## Usage
Once configured, Claude can interact with Vivado through natural language. Example workflow:
1. **Start Vivado session**: "Start a Vivado session"
2. **Open project**: "Open my project at /path/to/project.xpr"
3. **Run synthesis**: "Synthesize the design"
4. **Check timing**: "What's the timing summary? Is timing met?"
5. **Check utilization**: "Show me the resource utilization"
6. **Close session**: "Stop the Vivado session"
## Available Tools
### Session Management
- `start_session` - Start a persistent Vivado TCL session
- `stop_session` - Stop the Vivado session
- `session_status` - Get session statistics
### Project Management
- `open_project` - Open a Vivado project (.xpr)
- `close_project` - Close the current project
- `get_project_info` - Get project information (part, directory, etc.)
### Design Flow
- `run_synthesis` - Run synthesis
- `run_implementation` - Run place and route
- `generate_bitstream` - Generate bitstream
### Reports & Analysis
- `get_timing_summary` - Get timing summary (WNS, TNS, WHS, THS)
- `get_timing_paths` - Get detailed timing paths for failing/critical paths
- `get_utilization` - Get resource utilization (LUTs, FFs, BRAMs, DSPs)
- `get_clocks` - Get clock information
- `get_messages` - Get synthesis/implementation messages
### Design Queries
- `get_design_hierarchy` - Get module/instance hierarchy
- `get_ports` - Get top-level ports
- `get_nets` - Search for nets
- `get_cells` - Search for cells/instances
### Simulation
- `launch_simulation` - Launch behavioral/post-synth/post-impl simulation
- `run_simulation` - Run simulation for specified time
- `restart_simulation` - Restart from time 0
- `close_simulation` - Close the simulator
- `get_simulation_time` - Get current simulation time
- `get_signal_value` - Get a signal's current value
- `get_signal_values` - Get multiple signal values by pattern
- `add_signals_to_wave` - Add signals to waveform viewer
- `set_simulation_top` - Set the testbench module
- `get_simulation_objects` - List signals in a scope
- `get_scopes` - List hierarchy scopes
- `step_simulation` - Step simulation
- `add_breakpoint` - Add signal breakpoint
- `remove_breakpoints` - Remove all breakpoints
### Advanced
- `run_tcl` - Execute raw TCL commands
- `generate_full_report` - Generate full reports to file
- `read_report_section` - Read portions of large reports
- `request_feature` - Request new features
- `list_feature_requests` - List submitted requests
## Architecture
```
┌─────────────────┐ MCP Protocol ┌─────────────────┐
│ Claude Code │◄────(JSON-RPC)────────►│ Vivado MCP │
│ (AI Client) │ over stdio │ Server │
└─────────────────┘ └────────┬────────┘
│
│ pexpect
│ (TCL commands)
▼
┌─────────────────┐
│ Vivado Process │
│ (TCL mode) │
└─────────────────┘
```
The server maintains a persistent Vivado process in TCL mode. Commands are sent via pexpect and output is captured by waiting for the Vivado prompt. This avoids the ~30 second startup overhead that would occur if Vivado were launched for each command.
## Recreating This MCP Server with Claude
This MCP server was created entirely through conversation with Claude. Here's how you can create similar MCP servers:
### 1. Start with a Clear Goal
Tell Claude what you want to build:
> "I want to create an MCP server that lets you control Vivado FPGA tools. You should be able to start Vivado, open projects, run synthesis, check timing, etc."
### 2. Describe the Architecture
Explain the key technical challenges:
> "Vivado takes 30 seconds to start, so we need a persistent session. Vivado has a TCL interface we can use. We need to parse Vivado's text output into structured data."
### 3. Iterate on Tools
Start with basic tools and add more:
1. Session management (start/stop)
2. Project management
3. Design flow commands
4. Reports and queries
5. Simulation control
### 4. Key Design Patterns Used
**Singleton Session**: Only one Vivado process runs at a time
```python
_session: Optional[VivadoSession] = None
def get_session() -> VivadoSession:
global _session
if _session is None:
_session = VivadoSession()
return _session
```
**pexpect for Process Management**: Keeps Vivado alive between commands
```python
self.child = pexpect.spawn(
f'{self.vivado_path} -mode tcl -nojournal -nolog',
encoding='utf-8',
timeout=self.timeout
)
self.child.expect('Vivado%', timeout=10) # Wait for prompt
```
**Output Parsing**: Convert text reports to structured JSON
```python
def parse_timing_summary(output: str) -> dict:
wns_match = re.search(r"WNS\(ns\)\s*:\s*([-\d.]+)", output)
if wns_match:
result["wns"] = float(wns_match.group(1))
```
**Response Truncation**: Handle large outputs gracefully
```python
def truncate_response(content: str, max_chars: int) -> dict:
if len(content) > max_chars:
return {"content": content[:max_chars], "truncated": True}
```
### 5. MCP Server Structure
Every MCP server needs:
```python
from mcp.server import Server
from mcp.server.stdio import stdio_server
from mcp.types import Tool, TextContent
server = Server("your-server-name")
@server.list_tools()
async def list_tools() -> list[Tool]:
return [Tool(name="...", description="...", inputSchema={...})]
@server.call_tool()
async def call_tool(name: str, arguments: dict) -> list[TextContent]:
# Handle tool calls
return [TextContent(type="text", text=json.dumps(result))]
async def main():
async with stdio_server() as (read_stream, write_stream):
await server.run(read_stream, write_stream,
server.create_initialization_options())
```
### 6. Prompt for Creating Your Own MCP Server
Use this prompt template with Claude:
```
I want to create an MCP server for [YOUR TOOL].
Background:
- [Tool] is a [description] that [what it does]
- It has a [CLI/API/etc] interface that accepts [commands/requests]
- Key operations I want to support: [list operations]
Technical considerations:
- [Startup time, persistent state, output formats, etc.]
Please help me create an MCP server with:
1. Session/connection management
2. Core operations as tools
3. Proper error handling
4. Structured JSON responses
5. Comprehensive code comments
Start with the basic structure and we'll iterate from there.
```
## Contributing
Contributions welcome! Please feel free to submit issues and pull requests.
## License
MIT License - see LICENSE file for details.
## Acknowledgments
- Created with [Claude](https://claude.ai) (Anthropic)
- Uses the [Model Context Protocol](https://modelcontextprotocol.io) specification
- Integrates with [AMD/Xilinx Vivado](https://www.xilinx.com/products/design-tools/vivado.html)

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"""Vivado MCP Server - Direct integration with AMD/Xilinx Vivado."""
"""
Vivado MCP Server - Direct integration with AMD/Xilinx Vivado.
This package provides a Model Context Protocol (MCP) server that allows
AI assistants like Claude to directly interact with AMD/Xilinx Vivado
FPGA development tools.
Features:
- Session Management: Start/stop persistent Vivado TCL sessions
- Project Management: Open/close Vivado projects (.xpr files)
- Design Flow: Run synthesis, implementation, and bitstream generation
- Reports: Get timing summaries, utilization, and design analysis
- Design Queries: Explore design hierarchy, ports, nets, and cells
- Simulation: Control Vivado's integrated simulator (xsim)
- Raw TCL: Execute arbitrary Vivado TCL commands
Installation:
pip install -e .
Or add to your Claude Code MCP configuration:
{
"mcpServers": {
"vivado": {
"command": "python",
"args": ["-m", "vivado_mcp"]
}
}
}
Usage:
The server is typically launched by an MCP client (like Claude Code).
For manual testing:
python -m vivado_mcp
Example workflow (from an AI assistant):
1. start_session - Launch Vivado
2. open_project - Open a .xpr file
3. run_synthesis - Synthesize the design
4. get_timing_summary - Check if timing is met
5. get_utilization - Check resource usage
6. stop_session - Clean up
Requirements:
- Python 3.10+
- mcp>=1.0.0 (Model Context Protocol library)
- pexpect (for Vivado process management)
- AMD/Xilinx Vivado installed and in PATH
Author: Created with Claude (Anthropic)
License: MIT
Version: 0.1.0
"""
import asyncio
from .server import main as _async_main
# Package version
__version__ = "0.1.0"
def main():
"""Entry point for the vivado-mcp console script."""
"""
Entry point for the vivado-mcp console script.
This function is called when running:
- vivado-mcp (after pip install)
- python -m vivado_mcp
It starts the async MCP server event loop.
"""
asyncio.run(_async_main())
__all__ = ["main"]
# Public API - what gets imported with "from vivado_mcp import *"
__all__ = ["main", "__version__"]

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"""Entry point for running the Vivado MCP server."""
"""
Entry point for running the Vivado MCP server as a module.
This allows running the server with:
python -m vivado_mcp
Which is equivalent to:
vivado-mcp (after pip install)
The server communicates via stdin/stdout using the MCP protocol,
so it's typically launched by an MCP client like Claude Code rather
than run directly from the command line.
For testing, you can run it directly, but you'll need to send
properly formatted JSON-RPC messages to stdin.
"""
import asyncio
from .server import main
# Run the async main function when this module is executed directly
if __name__ == "__main__":
asyncio.run(main())

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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "vivado-mcp"
version = "0.1.0"
description = "MCP server for AMD/Xilinx Vivado FPGA development - enables AI assistants to control Vivado"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
{name = "Created with Claude", email = "noreply@anthropic.com"}
]
keywords = ["mcp", "vivado", "fpga", "xilinx", "amd", "claude", "ai"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)",
]
dependencies = [
"mcp>=1.0.0",
"pexpect>=4.8.0",
]
[project.scripts]
vivado-mcp = "vivado_mcp:main"
[project.urls]
Homepage = "https://github.com/coreyhahn/vivado_mcp"
Repository = "https://github.com/coreyhahn/vivado_mcp"
Issues = "https://github.com/coreyhahn/vivado_mcp/issues"
# Since the repo root is the package itself, we map the package name to "."
[tool.setuptools]
packages = ["vivado_mcp"]
package-dir = {"vivado_mcp" = "."}
# Include data files
[tool.setuptools.package-data]
vivado_mcp = ["data/*.json"]

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"""Vivado TCL session manager - maintains persistent Vivado process using pexpect."""
"""
Vivado TCL Session Manager - Maintains a persistent Vivado process using pexpect.
This module provides the core Vivado interaction layer for the MCP server.
It manages a persistent Vivado TCL session, avoiding the ~30 second startup
overhead that would occur if Vivado were launched for each command.
Architecture:
The VivadoSession class spawns Vivado in TCL mode (-mode tcl) using pexpect.
Commands are sent via sendline() and output is captured by waiting for the
Vivado prompt (Vivado%). The session stays alive between commands, maintaining
state (open projects, synthesized designs, etc.).
Key Design Decisions:
1. Singleton Pattern: A global _session instance is used to ensure only one
Vivado process runs at a time. Use get_session() to access it.
2. Thread Safety: A threading lock protects command execution to prevent
interleaved commands if multiple async tasks try to use Vivado.
3. Prompt-Based Parsing: We wait for "Vivado%" prompt to know when a command
completes. Output between command send and prompt is captured.
4. Error Detection: Success/failure is determined by checking for error
keywords in the output (ERROR:, invalid command, etc.).
5. Statistics Tracking: Command count, timing, and error counts are tracked
for debugging and performance analysis.
Usage:
from vivado_session import get_session
session = get_session()
session.start() # Launch Vivado
result = session.run_tcl("open_project /path/to/project.xpr")
if result.success:
print(f"Project opened in {result.elapsed_ms}ms")
session.stop() # Clean shutdown
Dependencies:
- pexpect: For spawning and interacting with Vivado process
- Vivado: Must be installed and in PATH (or specify path explicitly)
Author: Created with Claude (Anthropic)
License: MIT
"""
import pexpect
import time
@ -9,9 +56,32 @@ from datetime import datetime
import threading
# =============================================================================
# DATA CLASSES
# =============================================================================
@dataclass
class CommandResult:
"""Result from a Vivado TCL command."""
"""
Result from executing a Vivado TCL command.
This dataclass encapsulates all information about a command execution,
making it easy to check success, access output, and measure performance.
Attributes:
command: The TCL command that was executed
output: The captured output from Vivado (excluding prompts)
return_value: "0" for success, "1" for failure (string for JSON compat)
success: Boolean indicating if the command succeeded
elapsed_ms: Time taken to execute the command in milliseconds
timestamp: ISO format timestamp of when the command completed
Example:
result = session.run_tcl("get_property PART [current_project]")
if result.success:
print(f"Target part: {result.output}")
print(f"Took {result.elapsed_ms:.1f}ms")
"""
command: str
output: str
return_value: str
@ -20,36 +90,96 @@ class CommandResult:
timestamp: str = field(default_factory=lambda: datetime.now().isoformat())
# =============================================================================
# VIVADO SESSION CLASS
# =============================================================================
class VivadoSession:
"""
Manages a persistent Vivado TCL session using pexpect.
Vivado is started once and kept running. Commands are sent and output
is captured using pexpect's expect/sendline interface.
is captured using pexpect's expect/sendline interface. This avoids the
~30 second startup time that would be incurred for each command.
The session maintains state between commands, so you can open a project,
run synthesis, and then query results - all using the same Vivado instance.
Attributes:
vivado_path: Path to the Vivado executable
timeout: Maximum time to wait for command completion (seconds)
child: The pexpect spawn object (Vivado process)
is_running: Whether Vivado is currently running
current_project: Path to currently open project (if any)
stats: Dictionary of session statistics
Thread Safety:
A lock (_lock) protects command execution. Multiple threads can
safely call run_tcl(), though commands will be serialized.
Example:
with VivadoSession() as session:
session.run_tcl("open_project /path/to/project.xpr")
result = session.run_tcl("report_timing_summary -return_string")
print(result.output)
# Vivado is automatically stopped when exiting the context
"""
# Unique marker to detect end of command output (use something that won't appear in normal output)
# Unique marker that won't appear in normal Vivado output
# Used internally for sentinel-based parsing (not currently used but reserved)
SENTINEL = "XYZZY_MCP_9f8e7d6c_DONE"
def __init__(self, vivado_path: str = "vivado", timeout: float = 300.0):
"""
Initialize the Vivado session manager.
Args:
vivado_path: Path to Vivado executable. Defaults to "vivado" which
assumes it's in the system PATH. Can be an absolute path
like "/tools/Xilinx/Vivado/2023.2/bin/vivado".
timeout: Maximum time in seconds to wait for any command to complete.
Defaults to 300s (5 minutes) to handle long operations like
synthesis and implementation.
"""
self.vivado_path = vivado_path
self.timeout = timeout
self.child: Optional[pexpect.spawn] = None
self.is_running = False
self.current_project: Optional[str] = None
# Thread lock for command execution
# Ensures only one command runs at a time even with async callers
self._lock = threading.Lock()
# Statistics
# Statistics tracking for debugging and performance analysis
self.stats = {
"session_start": None,
"commands_run": 0,
"total_command_time_ms": 0,
"errors": 0,
"command_history": []
"session_start": None, # ISO timestamp when session started
"commands_run": 0, # Total commands executed
"total_command_time_ms": 0, # Sum of all command times
"errors": 0, # Count of failed commands
"command_history": [] # Last 100 commands (for debugging)
}
def start(self) -> CommandResult:
"""Start the Vivado TCL session."""
"""
Start the Vivado TCL session.
This spawns a new Vivado process in TCL mode with:
- No journal file (-nojournal): Avoids cluttering directory
- No log file (-nolog): Output goes to pexpect instead
The function waits for Vivado's startup banner ("Start of session")
and then confirms readiness by waiting for the "Vivado%" prompt.
Returns:
CommandResult with success=True if Vivado started successfully,
or success=False with error message if startup failed.
Note:
If already running, returns success immediately without restarting.
Vivado startup typically takes 20-30 seconds.
"""
# Don't restart if already running
if self.is_running:
return CommandResult(
command="start",
@ -62,30 +192,36 @@ class VivadoSession:
start_time = time.time()
try:
# Start Vivado with pexpect
# Spawn Vivado in TCL mode
# -mode tcl: Interactive TCL shell (no GUI)
# -nojournal: Don't create vivado.jou files
# -nolog: Don't create vivado.log files
self.child = pexpect.spawn(
f'{self.vivado_path} -mode tcl -nojournal -nolog',
encoding='utf-8',
timeout=self.timeout,
echo=False # Don't echo commands back
echo=False # Don't echo commands back to us
)
# Wait for Vivado to start (look for startup banner)
# Wait for Vivado to display its startup banner
# This indicates Vivado has loaded and is ready to accept commands
self.child.expect('Start of session', timeout=120)
# Give it a moment to fully initialize
# Brief pause to let Vivado fully initialize
time.sleep(1)
# Drain any remaining startup output
# Drain any remaining startup output to clear the buffer
try:
self.child.read_nonblocking(size=100000, timeout=1)
except (pexpect.TIMEOUT, pexpect.EOF):
pass
pass # Expected - no more data to read
# Wait for prompt to confirm ready
self.child.sendline("") # Empty command to get prompt
# Send empty command to confirm we get a prompt back
# This validates that Vivado is responsive
self.child.sendline("")
self.child.expect('Vivado%', timeout=10)
# Mark session as running and record start time
self.is_running = True
self.stats["session_start"] = datetime.now().isoformat()
@ -100,6 +236,7 @@ class VivadoSession:
)
except pexpect.TIMEOUT:
# Vivado didn't respond in time
self.is_running = False
elapsed = (time.time() - start_time) * 1000
return CommandResult(
@ -110,6 +247,7 @@ class VivadoSession:
elapsed_ms=elapsed
)
except Exception as e:
# Other errors (file not found, permissions, etc.)
self.is_running = False
elapsed = (time.time() - start_time) * 1000
return CommandResult(
@ -124,12 +262,39 @@ class VivadoSession:
"""
Execute a TCL command and return the result.
This is the primary interface for interacting with Vivado. The command
is sent to the Vivado TCL shell, and output is captured by waiting for
the next "Vivado%" prompt.
Args:
command: TCL command to execute
command: TCL command to execute. Can be any valid Vivado TCL command.
Examples:
- "open_project /path/to/project.xpr"
- "report_timing_summary -return_string"
- "get_property PART [current_project]"
Returns:
CommandResult with output and status
CommandResult containing:
- output: The command's output (stdout from Vivado)
- success: True if no error keywords were found in output
- elapsed_ms: Execution time in milliseconds
Thread Safety:
This method is thread-safe. A lock ensures only one command
executes at a time.
Output Parsing:
The raw pexpect output includes the echoed command and prompts.
This method strips those to return only the meaningful output.
Error Detection:
Success is determined by checking for error keywords in output:
- "error:" - Vivado error messages
- "invalid command" - TCL syntax errors
- "can't read" - Variable/file access errors
- "wrong # args" - Argument count errors
"""
# Check session is running
if not self.is_running:
return CommandResult(
command=command,
@ -139,47 +304,52 @@ class VivadoSession:
elapsed_ms=0
)
# Serialize command execution with a lock
with self._lock:
start_time = time.time()
try:
# Clear any pending output first
# Clear any pending output from previous commands
# This ensures we only capture this command's output
try:
self.child.read_nonblocking(size=100000, timeout=0.1)
except (pexpect.TIMEOUT, pexpect.EOF):
pass
pass # Expected - buffer was empty
# Send the command
# Send the command to Vivado
self.child.sendline(command)
# Wait for Vivado prompt (indicates command completed)
# Wait for the Vivado prompt indicating command completion
# The prompt appears after Vivado finishes processing
self.child.expect('Vivado%', timeout=self.timeout)
# Get the output (everything before the prompt)
# Get everything that was output before the prompt
raw_output = self.child.before
# Parse output: extract content after command echo
# Parse the output to extract meaningful content
# Raw output includes: command echo, actual output, whitespace
lines = raw_output.replace('\r', '').split('\n')
clean_lines = []
found_command = False
# Normalize command for matching
# Normalize command for matching (handle whitespace differences)
cmd_normalized = command.strip()
for line in lines:
stripped = line.strip()
# Look for the command echo
# Skip lines until we find the echoed command
# Everything before is leftover from previous operations
if not found_command:
if cmd_normalized in stripped:
found_command = True
continue
# Skip Vivado prompts
# Skip Vivado prompts in output
if stripped == 'Vivado%' or stripped.startswith('Vivado%'):
continue
# Skip empty lines
# Skip empty lines for cleaner output
if not stripped:
continue
@ -189,11 +359,12 @@ class VivadoSession:
elapsed = (time.time() - start_time) * 1000
# Check for errors in output
# Determine success by checking for error indicators
# Vivado prefixes errors with specific keywords
success = not any(err in output.lower() for err in
["error:", "invalid command", "can't read", "wrong # args"])
# Update stats
# Update statistics
self.stats["commands_run"] += 1
self.stats["total_command_time_ms"] += elapsed
if not success:
@ -207,7 +378,7 @@ class VivadoSession:
elapsed_ms=elapsed
)
# Keep last 100 commands in history
# Add to command history (keep last 100 for debugging)
self.stats["command_history"].append({
"command": command,
"success": success,
@ -220,6 +391,7 @@ class VivadoSession:
return result
except pexpect.TIMEOUT:
# Command took too long - might be hung or very long operation
elapsed = (time.time() - start_time) * 1000
self.stats["errors"] += 1
return CommandResult(
@ -230,6 +402,7 @@ class VivadoSession:
elapsed_ms=elapsed
)
except Exception as e:
# Unexpected error during command execution
elapsed = (time.time() - start_time) * 1000
self.stats["errors"] += 1
return CommandResult(
@ -241,7 +414,19 @@ class VivadoSession:
)
def stop(self) -> CommandResult:
"""Stop the Vivado session."""
"""
Stop the Vivado session gracefully.
Sends the "exit" command to Vivado and waits for the process to
terminate. If graceful exit fails, force-closes the process.
Returns:
CommandResult with success=True (stopping always "succeeds"
even if we had to force-close)
Note:
Safe to call even if session is not running.
"""
if not self.is_running:
return CommandResult(
command="stop",
@ -254,15 +439,18 @@ class VivadoSession:
start_time = time.time()
try:
# Send exit command for graceful shutdown
self.child.sendline('exit')
# Wait for process to terminate (EOF on stdout)
self.child.expect(pexpect.EOF, timeout=30)
except Exception:
# Force close if graceful exit fails
# If graceful exit fails, force-terminate the process
try:
self.child.close(force=True)
except:
pass
pass # Best effort - process might already be dead
# Update state
self.is_running = False
self.current_project = None
elapsed = (time.time() - start_time) * 1000
@ -276,28 +464,82 @@ class VivadoSession:
)
def get_stats(self) -> dict:
"""Get session statistics."""
"""
Get session statistics for monitoring and debugging.
Returns:
Dictionary containing:
- is_running: Whether session is active
- current_project: Path to open project (or None)
- session_start: ISO timestamp when session started
- commands_run: Total commands executed
- total_command_time_ms: Sum of all command times
- errors: Count of failed commands
- avg_command_time_ms: Average command time (if commands > 0)
- command_history: Last 100 commands with timing info
"""
stats = self.stats.copy()
stats["is_running"] = self.is_running
stats["current_project"] = self.current_project
# Calculate average command time if we have data
if self.stats["commands_run"] > 0:
stats["avg_command_time_ms"] = self.stats["total_command_time_ms"] / self.stats["commands_run"]
stats["avg_command_time_ms"] = (
self.stats["total_command_time_ms"] / self.stats["commands_run"]
)
return stats
def __enter__(self):
"""
Context manager entry - start the session.
Example:
with VivadoSession() as session:
session.run_tcl("...")
"""
self.start()
return self
def __exit__(self, exc_type, exc_val, exc_tb):
"""
Context manager exit - stop the session.
Ensures Vivado is properly shut down even if an exception occurred.
"""
self.stop()
# Singleton session instance
# =============================================================================
# SINGLETON SESSION MANAGEMENT
# =============================================================================
# Global singleton session instance
# Using a singleton ensures only one Vivado process runs at a time
_session: Optional[VivadoSession] = None
def get_session() -> VivadoSession:
"""Get or create the global Vivado session."""
"""
Get or create the global Vivado session.
This function implements the singleton pattern for VivadoSession.
The first call creates a new session; subsequent calls return the
same instance.
Returns:
The global VivadoSession instance
Example:
session = get_session()
session.start()
# ... use session ...
session.stop()
Note:
The session is created lazily (on first access) and is NOT
automatically started. Call session.start() explicitly.
"""
global _session
if _session is None:
_session = VivadoSession()
@ -305,7 +547,18 @@ def get_session() -> VivadoSession:
def reset_session():
"""Reset the global session (stop if running)."""
"""
Reset the global session (stop if running and clear instance).
Use this to force a fresh Vivado session, for example after
recovering from an error or when changing Vivado versions.
This function:
1. Stops the current session if running
2. Clears the singleton instance
The next call to get_session() will create a fresh instance.
"""
global _session
if _session is not None and _session.is_running:
_session.stop()