fastpy-cli 1.2.5

Create production-ready FastAPI projects with one command

Fastpy CLI

Create production-ready FastAPI projects with one command.

Installation • Quick Start • Features • Libs • Docs

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Table of Contents

• Installation
• Quick Start
• Features
• Commands
• AI-Powered Generation
• Fastpy Libs
  • Http
  • Mail
  • Cache
  • Storage
  • Queue
  • Events
  • Notifications
  • Hash
  • Crypt
• Configuration
• Security
• Contributing
• License

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Installation

pip (recommended)

pip install fastpy-cli

pipx (isolated environment)

pipx install fastpy-cli

Homebrew (macOS)

brew tap vutia-ent/tap
brew install fastpy

Verify Installation

fastpy version

Troubleshooting: pip Not Recognized

If you get pip: command not found, use pip3 instead:

pip3 install fastpy-cli

To create a pip alias (optional):

macOS/Linux:

echo 'alias pip=pip3' >> ~/.zshrc  # or ~/.bashrc for Linux
source ~/.zshrc

Windows: Python 3.x installers usually include both pip and pip3. If not, reinstall Python and check "Add to PATH".

Troubleshooting: Command Not Found

If you get fastpy: command not found after installing with pip, the Python scripts directory isn't in your PATH.

macOS:

# Add Python scripts to PATH
echo 'export PATH="'$(python3 -m site --user-base)/bin':$PATH"' >> ~/.zshrc
source ~/.zshrc

Linux:

# Add Python scripts to PATH
echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

Windows (PowerShell):

# Find Python scripts path
python -m site --user-site
# Add the Scripts folder (replace USERNAME with your username)
# C:\Users\USERNAME\AppData\Roaming\Python\Python3X\Scripts
# Add this to your PATH via System Properties > Environment Variables

Alternative: Use pipx (automatically handles PATH):

pipx install fastpy-cli

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Quick Start

One-Command Setup (Recommended)

# Create project with automatic setup
fastpy new my-api --install
cd my-api
source venv/bin/activate
fastpy setup   # Configure database
fastpy serve

Step-by-Step Setup

# 1. Create a new project
fastpy new my-api
cd my-api

# 2. Install dependencies (creates venv + installs packages + runs setup)
fastpy install

# 3. Activate the virtual environment
source venv/bin/activate  # macOS/Linux
# or: venv\Scripts\activate  # Windows

# 4. Start the development server
fastpy serve

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Features

Feature	Description
One-Command Setup	Production-ready FastAPI project in seconds
AI Code Generation	Generate resources using natural language
Multiple AI Providers	Anthropic Claude, OpenAI GPT, Ollama
Laravel-Style Libs	Http, Mail, Cache, Storage, Queue, Events, and more
Smart Detection	Seamlessly works inside Fastpy projects
Environment Diagnostics	Built-in doctor command
Shell Completions	Bash, Zsh, Fish, PowerShell

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Commands

Global Commands

Command	Description
fastpy new <name>	Create a new Fastpy project
fastpy new <name> --install	Create project + auto-setup venv and deps
fastpy install	Install deps and setup (run inside project)
fastpy ai <prompt>	Generate resources using AI
fastpy libs [name]	Explore Laravel-style libs
fastpy doctor	Diagnose environment issues
fastpy config	Show/manage configuration
fastpy init	Initialize configuration file
fastpy version	Show CLI version
fastpy docs	Open documentation
fastpy upgrade	Upgrade to latest version

Setup Commands

Run these inside a Fastpy project directory

Command	Description
fastpy install	Create venv, install deps, run setup wizard
fastpy setup	Full interactive setup wizard
fastpy setup:env	Initialize .env from .env.example
fastpy setup:db	Configure database connection
fastpy setup:secret	Generate secure JWT secret key
fastpy setup:hooks	Install pre-commit hooks

Project Commands

Run these inside a Fastpy project directory

Command	Description
fastpy serve	Start development server
fastpy make:resource <name>	Generate complete resource
fastpy make:model <name>	Generate model
fastpy make:controller <name>	Generate controller
fastpy make:service <name>	Generate service
fastpy db:migrate	Run database migrations
fastpy db:seed	Seed the database
fastpy route:list	List all routes
fastpy test	Run tests

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AI-Powered Generation

Generate resources using natural language with multiple AI providers.

Basic Usage

# Generate from description
fastpy ai "Create a blog with posts, categories, and tags"

# Auto-execute commands
fastpy ai "E-commerce with products, orders, and customers" --execute

# Preview without executing
fastpy ai "User management system" --dry-run

Providers

Anthropic Claude (Default)

export ANTHROPIC_API_KEY=your-key
fastpy ai "Create a user authentication system"

OpenAI GPT

export OPENAI_API_KEY=your-key
fastpy ai "Create a REST API for tasks" --provider openai

Ollama (Local)

ollama serve  # Start Ollama
fastpy ai "Create a blog system" --provider ollama

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Fastpy Libs

Laravel-style facades for common development tasks. Clean, expressive APIs for HTTP, email, caching, storage, queues, events, notifications, hashing, and encryption.

# Explore available libs
fastpy libs

# View usage examples
fastpy libs http --usage

Import

from fastpy_cli.libs import Http, Mail, Cache, Storage, Queue, Event, Notify, Hash, Crypt

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Http Client

Make HTTP requests with a fluent, chainable API.

from fastpy_cli.libs import Http

# Simple requests
response = Http.get('https://api.example.com/users')
data = response.json()

# POST with JSON
response = Http.post('https://api.example.com/users', json={
    'name': 'John',
    'email': '[e-mail]'
})

# With authentication
response = Http.with_token('your-api-token').get('/api/protected')
response = Http.with_basic_auth('user', 'pass').get('/api/auth')

# With headers and timeout
response = Http.with_headers({'X-Custom': 'value'}) \
    .timeout(60) \
    .retry(3) \
    .get('https://api.slow.com/data')

# Async requests
response = await Http.async_().aget('https://api.example.com/data')

Features: GET, POST, PUT, PATCH, DELETE, HEAD, OPTIONS | Bearer/Basic auth | Custom headers | Retry with backoff | Timeouts | Async support | SSRF protection

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Email

Send emails with multiple driver support.

from fastpy_cli.libs import Mail

# Send with template
Mail.to('[e-mail]') \
    .subject('Welcome to Our App!') \
    .send('emails/welcome', {'name': 'John'})

# Multiple recipients
Mail.to(['[e-mail]', '[e-mail]']) \
    .cc('[e-mail]') \
    .bcc('[e-mail]') \
    .subject('Team Update') \
    .send('emails/update', {'message': 'Hello team!'})

# Raw HTML
Mail.to('[e-mail]') \
    .subject('Hello') \
    .html('<h1>Hello World</h1>') \
    .text('Hello World') \
    .send()

# With attachments
Mail.to('[e-mail]') \
    .subject('Your Invoice') \
    .attach('/path/to/invoice.pdf') \
    .send('emails/invoice', {'invoice': invoice})

# Different driver
Mail.driver('sendgrid').to('[e-mail]').send('template', data)

Drivers: SMTP, SendGrid, Mailgun, AWS SES, Log (dev)

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Caching

Cache data with multiple backend support.

from fastpy_cli.libs import Cache

# Store and retrieve
Cache.put('key', 'value', ttl=3600)  # 1 hour
value = Cache.get('key', default='fallback')

# Check existence
if Cache.has('key'):
    print('Cached!')

# Remember pattern (get or compute)
users = Cache.remember('all_users', lambda: User.all(), ttl=600)

# Increment/decrement
Cache.increment('page_views')
Cache.decrement('available_seats', 2)

# Delete
Cache.forget('key')
Cache.flush()  # Clear all

# Tagged cache
Cache.tags(['users', 'permissions']).put('user:1:roles', roles)
Cache.tags(['users']).flush()  # Clear all user-related cache

# Different store
Cache.store('redis').put('key', 'value')

Drivers: Memory, File, Redis

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File Storage

Store and retrieve files with multiple backends.

from fastpy_cli.libs import Storage

# Store files
Storage.put('avatars/user-123.jpg', file_content)
Storage.put('documents/report.pdf', pdf_bytes)

# Retrieve
content = Storage.get('avatars/user-123.jpg')
exists = Storage.exists('avatars/user-123.jpg')

# Get URL
url = Storage.url('avatars/user-123.jpg')

# List files
files = Storage.files('avatars/')
all_files = Storage.all_files('documents/')

# File operations
Storage.copy('old.jpg', 'new.jpg')
Storage.move('temp/file.txt', 'permanent/file.txt')
Storage.delete('old-file.txt')

# Directories
Storage.make_directory('uploads/2024')
Storage.delete_directory('temp/')

# Different disk
Storage.disk('s3').put('backups/db.sql', content)
url = Storage.disk('s3').url('backups/db.sql')

Drivers: Local filesystem, AWS S3, Memory (testing)

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Job Queues

Queue background jobs for async processing.

from fastpy_cli.libs import Queue, Job

# Define a job
class SendWelcomeEmail(Job):
    def __init__(self, user_id: int):
        self.user_id = user_id

    def handle(self):
        user = User.find(self.user_id)
        Mail.to(user.email).send('welcome', {'user': user})

# Dispatch immediately
Queue.push(SendWelcomeEmail(user_id=123))

# Delay execution
Queue.later(60, SendWelcomeEmail(user_id=123))  # 60 seconds

# Named queue
Queue.on('emails').push(SendWelcomeEmail(user_id=123))

# Chain jobs (sequential execution)
Queue.chain([
    ProcessPayment(order_id=1),
    SendConfirmation(order_id=1),
    UpdateInventory(order_id=1),
])

# Job configuration
class SlowJob(Job):
    queue = 'slow'       # Queue name
    tries = 5            # Max attempts
    timeout = 300        # 5 minutes

Drivers: Sync, Memory, Redis, Database

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Events

Dispatch and listen to application events.

from fastpy_cli.libs import Event

# Register listeners
Event.listen('user.registered', lambda data: send_welcome_email(data['user']))
Event.listen('order.placed', lambda data: notify_warehouse(data['order']))

# Dispatch events
Event.dispatch('user.registered', {'user': user})

# Wildcard listeners
Event.listen('user.*', lambda data: log_user_activity(data))
Event.listen('*.created', lambda data: log_creation(data))

# Event subscribers
class UserEventSubscriber:
    def subscribe(self, events):
        events.listen('user.registered', self.on_registered)
        events.listen('user.login', self.on_login)
        events.listen('user.deleted', self.on_deleted)

    def on_registered(self, data):
        send_welcome_email(data['user'])

    def on_login(self, data):
        log_login(data['user'], data['ip'])

    def on_deleted(self, data):
        cleanup_user_data(data['user_id'])

Event.subscribe(UserEventSubscriber())

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Notifications

Send notifications through multiple channels.

from fastpy_cli.libs import Notify, Notification

# Define a notification
class OrderShipped(Notification):
    def __init__(self, order):
        self.order = order

    def via(self, notifiable) -> list:
        return ['mail', 'database', 'slack']

    def to_mail(self, notifiable) -> dict:
        return {
            'subject': 'Your order has shipped!',
            'template': 'emails/order-shipped',
            'data': {'order': self.order, 'user': notifiable}
        }

    def to_database(self, notifiable) -> dict:
        return {
            'type': 'order_shipped',
            'data': {'order_id': self.order.id}
        }

    def to_slack(self, notifiable) -> dict:
        return {
            'text': f'Order #{self.order.id} has been shipped!',
            'channel': '#orders'
        }

# Send to user
Notify.send(user, OrderShipped(order))

# Send to multiple users
Notify.send(users, OrderShipped(order))

# On-demand notification (no user model)
Notify.route('mail', '[e-mail]') \
    .route('slack', '#general') \
    .notify(OrderShipped(order))

Channels: Mail, Database, Slack, SMS (Twilio/Nexmo)

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Password Hashing

Securely hash and verify passwords.

from fastpy_cli.libs import Hash

# Hash a password
hashed = Hash.make('secret-password')

# Verify a password
if Hash.check('secret-password', hashed):
    print('Password is correct!')
else:
    print('Invalid password')

# Check if rehash needed (e.g., after upgrading algorithm)
if Hash.needs_rehash(hashed):
    new_hash = Hash.make('secret-password')
    user.password = new_hash
    user.save()

# Use specific algorithm
hashed = Hash.driver('argon2').make('password')  # Recommended
hashed = Hash.driver('bcrypt').make('password')  # Default

# Configure bcrypt rounds
Hash.configure('bcrypt', {'rounds': 14})

Algorithms: bcrypt (default), Argon2 (recommended), PBKDF2-SHA256

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Encryption

Encrypt and decrypt sensitive data.

from fastpy_cli.libs import Crypt

# Generate a key (do once, save to .env)
key = Crypt.generate_key()
# Add to .env: APP_KEY=<key>

# Set the key
Crypt.set_key(key)  # Or use APP_KEY environment variable

# Encrypt/decrypt strings
encrypted = Crypt.encrypt('sensitive data')
decrypted = Crypt.decrypt(encrypted)

# Encrypt complex data (auto JSON serialized)
encrypted = Crypt.encrypt({
    'user_id': 123,
    'session_token': 'abc123',
    'expires_at': '2024-12-31'
})
data = Crypt.decrypt(encrypted)  # Returns dict

# Different driver
encrypted = Crypt.driver('aes').encrypt('secret')

Algorithms: Fernet (AES-128-CBC with HMAC), AES-256-CBC

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Configuration

Config File

Fastpy uses ~/.fastpy/config.toml:

[ai]
provider = "anthropic"    # anthropic, openai, ollama
timeout = 30
max_retries = 3

[ai.models]
anthropic = "claude-sonnet-4-20250514"
openai = "gpt-4"
ollama = "llama2"

[defaults]
git = true
setup = true
branch = "main"

[logging]
level = "INFO"            # DEBUG, INFO, WARNING, ERROR
file = ""                 # Optional log file path

Environment Variables

Variable	Description	Default
ANTHROPIC_API_KEY	Anthropic API key	-
OPENAI_API_KEY	OpenAI API key	-
OLLAMA_HOST	Ollama server URL	http://localhost:11434
OLLAMA_MODEL	Ollama model name	llama2
FASTPY_AI_PROVIDER	Default AI provider	anthropic
APP_KEY	Encryption key for Crypt	-

Commands

# Initialize config file
fastpy init

# Show current configuration
fastpy config

# Show config file path
fastpy config --path

# Run environment diagnostics
fastpy doctor

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Security

Fastpy CLI takes security seriously. See SECURITY.md for:

• Security vulnerability fixes
• Best practices for using the libs
• Reporting security issues

Key Security Features

• SSRF Protection: HTTP client blocks requests to private IPs
• Path Traversal Protection: Storage prevents directory escape
• Secure Defaults: bcrypt with 13 rounds, PBKDF2 with 600K iterations
• Safe Serialization: JSON-based job serialization option
• Command Validation: AI commands validated before execution

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Shell Completions

# Install for your shell
fastpy --install-completion bash
fastpy --install-completion zsh
fastpy --install-completion fish
fastpy --install-completion powershell

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What is Fastpy?

Fastpy is a production-ready FastAPI starter template featuring:

• FastAPI - Modern, high-performance Python web framework
• SQLModel - SQL databases with Python type hints
• JWT Authentication - Secure auth with access/refresh tokens
• MVC Architecture - Clean, maintainable code structure
• PostgreSQL/MySQL - Multi-database support
• Alembic - Database migrations
• pytest - Testing with factory-boy

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Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

# Clone and setup
git clone https://github.com/vutia-ent/fastpy-cli.git
cd fastpy-cli
pip install -e ".[dev]"

# Run tests
pytest

# Run linting
ruff check fastpy_cli/
black fastpy_cli/

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Links

• Documentation
• Changelog
• Security
• GitHub
• PyPI

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License

MIT License - see LICENSE for details.

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Made with ❤️ by Vutia Enterprise