projectprompt 1.1.7

Intelligent assistant for project analysis and documentation using AI

ProjectPrompt

An intelligent CLI tool that uses AI to analyze code projects, generate documentation, and provide improvement suggestions.

Features

• Smart Project Analysis: Automatically detects technologies, frameworks, and project structure with real-time progress indicators
• AI-Powered Insights: Leverages Anthropic Claude and OpenAI for intelligent analysis and recommendations
• Interactive CLI: Beautiful command-line interface with rich output, progress bars, and interactive menus
• Documentation Tools: Generate and navigate project documentation with multiple output formats
• Visual Dashboard: Generate comprehensive project status dashboards in HTML or Markdown format
• Real-Time Progress: Live progress indicators during project scanning showing current files and status
• Multi-Language Support: Works with Python, JavaScript, TypeScript, Java, C++, and more
• Secure Configuration: Safe API key storage and configuration management with .env support
• Premium Features: Advanced AI capabilities with subscription management
• Offline Capable: Core features work completely offline, premium features only need API keys

Installation

Install ProjectPrompt using pip:

pip install projectprompt

Verify Installation

project-prompt version

Getting Started

1. Install the package:

   pip install projectprompt
   

2. Navigate to your project directory:

   cd /path/to/your/project
   

3. Run your first analysis:

   project-prompt analyze
   

4. Explore with the interactive menu:

   project-prompt menu
   

That's it! ProjectPrompt will analyze your project structure, detect technologies, and provide insights with real-time progress indicators showing exactly what's being processed.

Progress Indicators

ProjectPrompt includes comprehensive progress indicators during analysis to keep you informed:

• File Scanning Progress: Shows current file being analyzed and total progress percentage
• Directory Navigation: Displays which directories are being scanned
• Analysis Phases: Reports on dependency analysis, language detection, and important file identification
• Real-Time Updates: Progress bar updates every 100ms with current status
• Professional Display: Uses rich formatting with file counts and visual progress bars

Example progress display:

🔍 Analyzing Project... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65% (1,234/1,890 files)
📁 Current: src/components/UserProfile.tsx
🔄 Status: Analizando archivo

Quick Start

Basic Commands

# Show version and help
project-prompt version
project-prompt --help

# Analyze your current project
project-prompt analyze

# Analyze a specific project
project-prompt analyze /path/to/project

# Interactive menu
project-prompt menu

Configuration

Set Up AI API Keys (Optional)

ProjectPrompt uses the secure .env file approach for API key configuration:

# Configure Anthropic API (guides you through .env setup)
project-prompt set-api anthropic

# Configure GitHub API (guides you through .env setup)
project-prompt set-api github

# Check your current .env configuration
project-prompt check-env

# Verify API configuration and functionality
project-prompt verify-api

Secure .env Method (Recommended):

1. Create a .env file in your project root
2. Add your API keys:

   # Anthropic Claude API
   anthropic_API=your_anthropic_key_here
   
   # GitHub API (optional)
   GITHUB_API_KEY=your_github_key_here
   

3. Ensure .env is in your .gitignore
4. Run project-prompt verify-api to test

Configuration Commands

# View current configuration
project-prompt config

# Initialize configuration with interactive setup
project-prompt init

# Access configuration menu
project-prompt menu

Core Commands

Command	Description
project-prompt version	Show version information
project-prompt analyze	Analyze project structure and detect technologies
project-prompt deps	Analyze project dependencies with functional groups and .gitignore support
project-prompt init	Initialize new project or configuration
project-prompt config	View and manage configuration
project-prompt set-api	Configure API keys for AI features
project-prompt verify-api	Verify API configuration status
project-prompt menu	Launch interactive menu
project-prompt dashboard	Generate visual project dashboard (HTML or Markdown)
project-prompt docs	Navigate project documentation
project-prompt help	Show detailed help information

Dashboard Commands

Command	Description	Example
project-prompt dashboard	Generate markdown dashboard (default format)	project-prompt dashboard
project-prompt dashboard --format html	Generate HTML dashboard	project-prompt dashboard --format html
project-prompt dashboard --format markdown	Generate markdown dashboard	project-prompt dashboard --format markdown
project-prompt premium dashboard	Generate premium HTML dashboard	project-prompt premium dashboard
project-prompt premium dashboard --format html	Generate premium HTML dashboard	project-prompt premium dashboard --format html
project-prompt premium dashboard --format markdown	Generate premium Markdown dashboard	project-prompt premium dashboard --format markdown
project-prompt premium dashboard --format md	Generate premium Markdown dashboard (short)	project-prompt premium dashboard --format md

Dependency Analysis Commands

Command	Description	Example
project-prompt deps	Analyze dependencies (basic)	project-prompt deps
project-prompt deps --output analysis.md	Generate dependency analysis report	project-prompt deps --output analysis.md
project-prompt deps --max-files 200 --min-deps 5	Custom dependency thresholds	project-prompt deps --max-files 200 --min-deps 5
project-prompt deps --format json	Generate JSON dependency report	project-prompt deps --format json --output deps.json
project-prompt deps --no-madge	Use traditional analysis (slower)	project-prompt deps --no-madge
project-prompt deps --no-groups	Skip functionality grouping	project-prompt deps --no-groups
project-prompt deps --no-cycles	Skip circular dependency detection	project-prompt deps --no-cycles

Dependency Analysis Features

• Functional Groups: Automatically detects and groups files by functionality (core, tests, configuration, etc.)
• Textual Dependency Visualization: Generates clear textual representations of dependency relationships
• Enhanced Markdown Output: Comprehensive reports with functional groups, exclusion statistics, and dependency metrics
• Automatic .gitignore Support: Respects .gitignore files automatically, excluding ignored files from analysis
• Analysis Caching: Prevents duplicate analysis during the same session for improved performance
• Efficient Analysis: Uses Madge for fast dependency parsing when available
• Smart Filtering: Focuses on important files with configurable thresholds
• Multiple Output Formats: Supports Markdown (default), JSON, and HTML outputs
• Circular Dependency Detection: Identifies problematic dependency loops
• Enhanced Progress Indicators: Real-time progress with emoji indicators and descriptive messages

Additional Commands

Command	Description
project-prompt ai	Access premium AI features
project-prompt premium	Manage premium features
project-prompt subscription	Manage subscription settings
project-prompt telemetry	Configure anonymous telemetry
project-prompt update	Check for updates and sync
project-prompt set-log-level	Change logging verbosity

Usage Examples

Project Analysis

# Analyze current directory with progress indicators
project-prompt analyze

# Analyze specific project with custom limits
project-prompt analyze /path/to/project --max-files 1000 --max-size 10.0

# Save analysis to file
project-prompt analyze --output analysis.json

# Quick analysis with minimal output
project-prompt analyze --quiet

Dependency Analysis

# Generate functional groups analysis in markdown (default format)
project-prompt deps

# Generate comprehensive dependency analysis with functional groups
project-prompt deps --max-files 500 --min-deps 10

# Generate specific format with functional groups
project-prompt deps --format json
project-prompt deps --format html

# Save to custom location with functional groups
project-prompt deps --output dependency_analysis.md
project-prompt deps --output /custom/path/deps.json --format json

# Quick analysis without circular dependency detection
project-prompt deps --no-cycles --max-files 100

# Traditional analysis (no Madge optimization)
project-prompt deps --no-madge

# Focused analysis without functionality grouping
project-prompt deps --no-groups --min-deps 5

# Complete analysis with all features including functional groups
project-prompt deps --max-files 1000 --format html

New Functional Groups Feature:

• 🏗️ Automatic Detection: Groups files by functionality (core source, tests, documentation, configuration)
• 📊 Textual Visualization: Clear textual representation of dependency relationships within groups
• 📋 Enhanced Reporting: Shows functional groups instead of just "important files analyzed"
• 🔍 Smart Analysis: Based on directory structure, file types, and circular dependencies

Output Organization:

• 📁 Automatic outputs saved to project-output/analyses/dependencies/
• 🕒 Timestamped filenames: deps_project-name_YYYYMMDD_HHMMSS.format
• 🎯 Use --output for custom locations
• 📝 Default format is now markdown for better readability

Dashboard Generation

# Generate basic markdown dashboard (new default format)
project-prompt dashboard

# Generate basic HTML dashboard
project-prompt dashboard --format html

# Generate premium HTML dashboard with advanced features
project-prompt premium dashboard

# Generate premium Markdown dashboard for GitHub/documentation
project-prompt premium dashboard --format markdown

# Generate premium Markdown dashboard (short format)
project-prompt premium dashboard --format md

# Dashboard will be saved as:
# - HTML: project_dashboard.html
# - Markdown: project_dashboard.md (new default format for better GitHub integration)

Configuration and Setup

# Interactive setup wizard
project-prompt init

# View current configuration
project-prompt config

# Set API keys with guided prompts
project-prompt set-api anthropic
project-prompt set-api openai
project-prompt set-api github

# Verify API status and connectivity
project-prompt verify-api

# Check .env file configuration
project-prompt check-env

Interactive Features

# Launch interactive menu with all features
project-prompt menu

# Access documentation browser
project-prompt docs

# View detailed help for any command
project-prompt help
project-prompt analyze --help
project-prompt dashboard --help

Advanced Usage

# Set custom log levels for debugging
project-prompt set-log-level debug
project-prompt set-log-level info
project-prompt set-log-level warning

# Manage telemetry settings
project-prompt telemetry enable
project-prompt telemetry disable
project-prompt telemetry status

# Check for updates
project-prompt update

# Access AI features (requires API keys)
project-prompt ai

# Manage premium features
project-prompt premium
project-prompt subscription

Real-World Examples

# Analyze a React project dependencies with functional groups and generate documentation
cd my-react-app
project-prompt deps --output react_dependencies.md
project-prompt premium dashboard --format markdown

# Analyze a Python project with functional groups (respects .gitignore)
cd my-python-project
project-prompt deps --max-files 2000 --min-deps 3
project-prompt premium dashboard

# Setup for a new team member
project-prompt init
project-prompt set-api anthropic
project-prompt menu

# Generate comprehensive project analysis with functional groups
project-prompt analyze
project-prompt deps --output full_analysis.md
project-prompt premium dashboard --format md

# Quick dependency overview with functional groups for code review
project-prompt deps --max-files 50 --output quick_deps.md

# Large project analysis with functional groups and optimizations
project-prompt deps --max-files 1000 --min-deps 8 --format json --output enterprise_deps.json

.gitignore Support

ProjectPrompt automatically respects your project's .gitignore file during analysis:

Features

• Automatic Detection: Finds and parses .gitignore in your project root
• Standard Syntax Support: Supports all standard .gitignore patterns including:
  • Wildcards (*, **)
  • Directory patterns (/, trailing /)
  • Negation patterns (!)
  • Comments (#)
• Improved Analysis: Excludes ignored files from dependency analysis for cleaner results
• Performance: Reduces analysis time by skipping irrelevant files
• Transparency: Reports how many files were excluded by .gitignore rules

Example .gitignore Integration

# Your .gitignore might contain:
node_modules/
*.log
dist/
.env
__pycache__/

# ProjectPrompt will automatically exclude these patterns during analysis
project-prompt deps --output clean_analysis.md

# Output will show:
# "Total de archivos excluidos: 1,234"
# "Por .gitignore: 1,156 archivos"

Functional Groups Feature

ProjectPrompt now automatically detects and organizes your project files into functional groups, providing better insights into your project structure:

What are Functional Groups?

Functional groups are automatically detected collections of files that serve similar purposes in your project:

• 📁 Core Source Code: Main application logic and source files
• 🧪 Tests: Unit tests, integration tests, and test utilities
• 📚 Documentation: README files, documentation, and guides
• ⚙️ Configuration: Config files, build scripts, and project settings
• 🎨 Assets: Images, stylesheets, and static resources
• 🔧 Tools & Scripts: Build tools, deployment scripts, and utilities

How It Works

# Run dependency analysis with functional groups
project-prompt deps

# Example output shows functional groups instead of just file counts:
# ✅ Análisis completado: 45 archivos, 6 grupos funcionales
# 
# 📊 Grupos Funcionales Detectados:
# 1. Core Source Code (src/)
#    - 15 archivos de código principal
#    - Funcionalidad: Lógica principal de la aplicación
# 
# 2. Tests (tests/)
#    - 8 archivos de pruebas
#    - Funcionalidad: Pruebas unitarias y de integración

Benefits

• 🔍 Better Project Understanding: See how your project is organized functionally
• 📊 Clearer Analysis: Groups replace generic "important files" counts
• 🎯 Focused Insights: Understand dependencies within and between functional areas
• 📈 Improved Reporting: Enhanced markdown output with group-specific visualizations
• ⚡ Smart Detection: Based on directory structure, file types, and dependency patterns

Manual Override

If you need to analyze files normally ignored by git:

# Use traditional analysis without gitignore (not recommended for most cases)
# Note: Currently this requires custom configuration
project-prompt analyze --max-files 10000  # Basic analysis ignores .gitignore by default

Enhanced Output Formats

ProjectPrompt now provides improved output formats with better structure and readability:

Markdown Output (New Default)

• 📝 Default Format: Dependency analysis now defaults to markdown for better GitHub integration
• 🏗️ Functional Groups: Clear sections showing detected functional groups with descriptions
• 📊 Enhanced Statistics: Comprehensive metrics including .gitignore exclusions
• 🎯 Textual Visualization: ASCII-style dependency graphs within functional groups
• 📋 Structured Sections: Organized layout with metrics, groups, exclusions, and dependencies

Example Enhanced Output Structure

# 📊 Análisis de Dependencias del Proyecto

## 📈 Resumen Ejecutivo
- **Archivos analizados**: 45
- **Grupos funcionales**: 6
- **Archivos excluidos (.gitignore)**: 234

## 🏗️ Grupos Funcionales Detectados

### 1. Core Source Code (src/)
**Tipo:** source
**Archivos:** 15
**Descripción:** Lógica principal de la aplicación

**Grafo del grupo:**

[1] main.py → [2] analyzer.py [2] analyzer.py → [3] utils.py [3] utils.py → [4] config.py

## 📋 Archivos Excluidos por .gitignore
✅ **234 archivos excluidos** por las reglas de .gitignore

Benefits of Enhanced Output

• 🔍 Better Project Understanding: Clear functional organization
• 📊 Professional Reports: Suitable for documentation and team sharing
• ⚡ Quick Insights: Fast overview of project structure and dependencies
• 🎯 Actionable Information: Identify important files and potential issues
• 📈 Progress Tracking: Compare project evolution over time

Troubleshooting

Common Issues

License Server Connection Error

If you see the following error:

WARNING: No se pudo contactar al servidor de licencias: 
         HTTPSConnectionPool(host='api.projectprompt.dev', port=443): Max retries exceeded...

Solution: This is normal when running offline. ProjectPrompt works completely offline with basic features. Premium features only require API keys, not an online license verification.

Telemetry Initialization Error

If you see the following error:

ERROR: Error al inicializar telemetría: 'ConfigManager' object has no attribute 'get_config'

Solution: This is a harmless error and doesn't affect any functionality. Telemetry is optional and ProjectPrompt will continue to work normally without it.

API Not Configured

If you see "Not configured ❌" for APIs:

Solution:

# Configure Anthropic API with secure .env method
project-prompt set-api anthropic

# Configure GitHub API with secure .env method
project-prompt set-api github

# Check your .env configuration
project-prompt check-env

# Verify configuration
project-prompt verify-api

Alternative: Manual .env setup

1. Create .env file in your project root
2. Add: anthropic_API=your_key_here
3. Ensure .env is in .gitignore
4. Run project-prompt verify-api

Requirements

• Python 3.8+ (tested on 3.8, 3.9, 3.10, 3.11)
• Internet connection (for AI features)
• API keys for Anthropic Claude or OpenAI (optional, for advanced features)

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• Issues: Report bugs or request features on GitHub Issues
• Documentation: Full documentation available in the docs directory
• Changelog: See CHANGELOG.md for release history