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Run prompts sequentially to tidy large code bases using Claude Code

Project description

Prompter

A Python tool for running prompts sequentially to tidy large code bases using Claude Code SDK.

PyPI version Python 3.11+ License: MIT

Requirements

  • Python 3.11 or higher
  • Claude Code SDK

Installation

Install from PyPI:

pip install claude-code-prompter

Or install from source:

# Install the package
pip install -e .

# Install with development dependencies
pip install -e ".[dev]"

Quick Start

  1. Generate a sample configuration to get started quickly:

    prompter --init
    
  2. Customize the configuration file (prompter.toml) for your project:

    • Replace make commands with your project's build/test commands
    • Adjust prompts to match your coding standards
    • Modify task flow and retry settings
  3. Test your configuration with a dry run:

    prompter prompter.toml --dry-run
    
  4. Run the tasks when ready:

    prompter prompter.toml
    

Usage

Basic Commands

# Generate a sample configuration file to get started
prompter --init                     # Creates prompter.toml
prompter --init my-config.toml      # Creates custom-named config

# Run all tasks from a configuration file
prompter config.toml

# Dry run to see what would be executed without making changes
prompter config.toml --dry-run

# Run a specific task by name
prompter config.toml --task fix_warnings

# Check current status and progress
prompter --status

# Clear saved state for a fresh start
prompter --clear-state

# Enable verbose output for debugging
prompter config.toml --verbose

# Enable extensive diagnostic logging (new in v0.3.0)
prompter config.toml --debug

# Save logs to a file
prompter config.toml --log-file debug.log

# Combine debug mode with log file for comprehensive diagnostics
prompter config.toml --debug --log-file debug.log

Common Use Cases

1. Code Modernization

# Create a config file for updating deprecated APIs
cat > modernize.toml << EOF
[settings]
working_directory = "/path/to/your/project"

[[tasks]]
name = "update_apis"
prompt = "Update all deprecated API calls to their modern equivalents"
verify_command = "python -m py_compile *.py"
on_success = "next"
on_failure = "retry"
max_attempts = 2

[[tasks]]
name = "add_type_hints"
prompt = "Add missing type hints to all functions and methods"
verify_command = "mypy --strict ."
on_success = "stop"
EOF

# Run the modernization
prompter modernize.toml

2. Documentation Updates

# Keep docs in sync with code changes
cat > docs.toml << EOF
[[tasks]]
name = "update_docstrings"
prompt = "Update all docstrings to match current function signatures and behavior"
verify_command = "python -m doctest -v *.py"

[[tasks]]
name = "update_readme"
prompt = "Update README.md to reflect recent API changes and new features"
verify_command = "markdownlint README.md"
EOF

prompter docs.toml --dry-run  # Preview changes first
prompter docs.toml            # Apply changes

3. Code Quality Improvements

# Fix linting issues and improve code quality
cat > quality.toml << EOF
[[tasks]]
name = "fix_linting"
prompt = "Fix all linting errors and warnings reported by flake8 and pylint"
verify_command = "flake8 . && pylint *.py"
on_failure = "retry"
max_attempts = 3

[[tasks]]
name = "improve_formatting"
prompt = "Improve code formatting and add missing blank lines for better readability"
verify_command = "black --check ."
EOF

prompter quality.toml

State Management

Prompter automatically tracks your progress:

# Check what's been completed
prompter --status

# Example output:
# Session ID: 1703123456
# Total tasks: 3
# Completed: 2
# Failed: 0
# Running: 0
# Pending: 1

# Resume from where you left off
prompter config.toml  # Automatically skips completed tasks

# Start fresh if needed
prompter --clear-state
prompter config.toml

Advanced Configuration

Task Dependencies and Flow Control

[settings]
working_directory = "/path/to/project"
check_interval = 30
max_retries = 3

# Task that stops on failure
[[tasks]]
name = "critical_fixes"
prompt = "Fix any critical security vulnerabilities"
verify_command = "safety check"
on_failure = "stop"  # Don't continue if this fails
max_attempts = 1

# Task that continues despite failures
[[tasks]]
name = "optional_cleanup"
prompt = "Remove unused imports and variables"
verify_command = "autoflake --check ."
on_failure = "next"  # Continue to next task even if this fails

# Task with custom timeout
[[tasks]]
name = "slow_operation"
prompt = "Refactor large legacy module"
verify_command = "python -m unittest discover"
timeout = 600  # 10 minutes

Multiple Project Workflow

# Process multiple projects in sequence
for project in project1 project2 project3; do
    cd "$project"
    prompter ../shared-config.toml --verbose
    cd ..
done

Configuration

Create a TOML configuration file with your tasks:

[settings]
check_interval = 30
max_retries = 3
working_directory = "/path/to/project"

[[tasks]]
name = "fix_warnings"
prompt = "Fix all compiler warnings in the codebase"
verify_command = "make test"
verify_success_code = 0
on_success = "next"
on_failure = "retry"
max_attempts = 3
timeout = 300

License

MIT

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