interpal 1.2.0

A comprehensive Python library for the Interpals API with sync/async support

Interpals Python Library

A comprehensive Python library for the Interpals API, providing both synchronous and asynchronous interfaces with WebSocket support for real-time events. Designed similar to discord.py for ease of use and powerful functionality.

Features

✨ Dual Interface: Both sync and async client support 🔐 Flexible Authentication: Auto-login or manual cookie import 🌐 WebSocket Support: Real-time events and notifications 📝 Comprehensive Models: Fully typed data models for all API responses 🎯 Event System: Decorator-based event handlers (@client.event) 🔄 Auto-retry: Built-in retry logic with exponential backoff ⚡ Rate Limiting: Automatic rate limit handling 📦 Complete API Coverage: 70+ endpoints across all categories 🧠 Smart State Management: Memory-efficient caching with Discord.py patterns ⚡ Object Identity: Same user/profile objects reused throughout session 🔄 Automatic Updates: Cached objects update when new data arrives 💾 Configurable Caching: Fine-tune memory usage and performance

Installation

pip install interpal

Or install from source:

git clone https://github.com/yourusername/interpal.git
cd interpal
pip install -e .

Requirements

• Python 3.7+
• requests >= 2.28.0
• aiohttp >= 3.8.0
• websockets >= 10.0

Quick Start

Synchronous Usage

from interpal import InterpalClient

# Auto-login with credentials
client = InterpalClient(
    username="your_username",
    password="your_password",
    auto_login=True
)

# Get your profile
profile = client.get_self()
print(f"Logged in as: {profile.name}")

# Get message threads
threads = client.get_threads()
print(f"You have {len(threads)} message threads")

# Send a message
client.send_message(thread_id="123456", content="Hello from Python!")

# Search for users
users = client.search_users(country="Japan", age_min=20, age_max=30)
for user in users:
    print(f"{user.name}, {user.age}, {user.city}")

# State management features
print(f"Cache stats: {client.get_cache_stats()}")
print(f"Messages cached: {client.state._stats['objects_created']}")

# Close connections
client.close()

Asynchronous Usage

import asyncio
from interpal import AsyncInterpalClient

async def main():
    client = AsyncInterpalClient(
        username="your_username",
        password="your_password"
    )
    client.login()
    
    # Fetch multiple things concurrently
    profile, threads, notifications = await asyncio.gather(
        client.get_self(),
        client.get_threads(),
        client.get_notifications()
    )
    
    print(f"Welcome {profile.name}!")
    print(f"Threads: {len(threads)}, Notifications: {len(notifications)}")
    
    await client.close()

asyncio.run(main())

State Management & Caching

The library automatically manages state and caching to improve performance and memory efficiency:

from interpal import InterpalClient

# Configure caching behavior
client = InterpalClient(
    username="user",
    password="pass",
    auto_login=True,
    max_messages=2000,        # Cache up to 2000 messages (default: 1000)
    cache_users=True,         # Enable user caching (default: True)
    cache_threads=True,       # Enable thread caching (default: True)
    weak_references=True      # Use weak references for memory efficiency (default: True)
)

# Get cache statistics
stats = client.get_cache_stats()
print(f"Cache hit rate: {stats['hit_rate']:.2%}")
print(f"Objects created: {stats['objects_created']}")
print(f"Cache evictions: {stats['evictions']}")

# Access cached objects directly
cached_user = client.get_cached_user("123456")
if cached_user:
    print(f"User from cache: {cached_user.name}")

# Clear caches if needed
client.clear_user_cache()     # Clear only user cache
client.clear_message_cache()  # Clear only message cache
client.clear_caches()         # Clear all caches

State Management Benefits:

• 🧠 Memory Efficiency: Weak references prevent memory leaks
• ⚡ Performance: Reduced API calls through intelligent caching
• 🔄 Object Identity: Same user object returned from different API calls
• 📊 Statistics: Monitor cache performance and usage
• ⚙️ Configurable: Fine-tune caching for your use case

Real-time Events (WebSocket)

import asyncio
from interpal import AsyncInterpalClient

client = AsyncInterpalClient(session_cookie="your_session_cookie")

@client.event('on_ready')
async def on_ready(data=None):
    print("Bot is ready!")
    profile = await client.get_self()
    print(f"Logged in as: {profile.name}")

@client.event('on_message')
async def on_message(data):
    sender = data.get('sender', {}).get('name', 'Unknown')
    content = data.get('content', '')
    print(f"New message from {sender}: {content}")
    
    # Auto-reply
    if 'hello' in content.lower():
        thread_id = data.get('thread_id')
        await client.send_message(thread_id, "Hi there!")

@client.event('on_notification')
async def on_notification(data):
    print(f"New notification: {data.get('message')}")

# Start listening (runs indefinitely)
asyncio.run(client.start())

Bot Extension (Discord.py-style Commands)

Build command-based bots with a familiar Discord.py-style interface:

from interpal.ext.commands import Bot

bot = Bot(
    command_prefix='!',
    username='your_username',
    password='your_password',
    persist_session=True
)

@bot.command()
async def hello(ctx, name=None):
    """Say hello to someone"""
    if name:
        await ctx.send(f"Hello {name}! 👋")
    else:
        await ctx.send(f"Hello {ctx.sender_name}! 👋")

@bot.command(aliases=['add'])
async def calculate(ctx, num1: int, num2: int):
    """Add two numbers"""
    await ctx.send(f"Result: {num1 + num2}")

@bot.event
async def on_ready():
    print("🤖 Bot is ready!")
    profile = await bot.get_self()
    print(f"Logged in as: {profile.name}")

bot.run()

Features:

• 🎯 Command decorators (@bot.command())
• 🔧 Automatic argument parsing with type conversion
• 📚 Built-in help command
• 🎨 Command aliases
• 📦 Cogs for organizing commands
• ⚠️ Error handling

See the Bot Extension Guide for complete documentation.

Authentication

Method 1: Persistent Sessions (Recommended)

Automatically save and reuse sessions for 24 hours - no need to login every time!

client = InterpalClient(
    username="user",
    password="pass",
    auto_login=True,
    persist_session=True  # Session saved and reused for 24 hours
)

# First run: Logs in and saves session
# Next runs: Automatically uses saved session until it expires
# After 24 hours: Automatically re-logins and saves new session

Check session status:

session_info = client.get_session_info()
print(f"Time remaining: {session_info['time_remaining']}")
print(f"Expires at: {session_info['expires_at']}")

Custom session configuration:

client = InterpalClient(
    username="user",
    password="pass",
    auto_login=True,
    persist_session=True,
    session_file="my_session.json",  # Custom file location
    session_expiration_hours=48  # Expire after 48 hours
)

Method 2: Login with Credentials

client = InterpalClient(username="user", password="pass", auto_login=True)

Method 3: Import Session Cookie

client = InterpalClient(session_cookie="interpals_sessid=abc123...")
client.validate_session()

Method 4: Export/Import Session

# Export session for later use
session = client.export_session()
print(session['session_cookie'])

# Import it later
client = InterpalClient(
    session_cookie=session['session_cookie'],
    auth_token=session['auth_token']
)

API Coverage

User Management

• get_self() - Get current user profile
• update_self(**kwargs) - Update profile
• get_user(user_id) - Get user by ID
• get_counters() - Get user statistics
• get_settings() - Get user settings
• update_settings(**kwargs) - Update settings

Messaging

• get_threads() - Get message threads
• get_thread_messages(thread_id) - Get messages in thread
• send_message(thread_id, content) - Send message
• mark_thread_viewed(thread_id) - Mark as read
• set_typing(thread_id) - Send typing indicator

Search & Discovery

• search_users(**filters) - Search users with filters
• search_by_location(lat, lon, radius) - Location-based search
• get_feed() - Get main content feed
• get_nearby_users() - Get nearby users
• get_suggestions() - Get suggested users

Media & Photos

• upload_photo(file_path, caption) - Upload photo
• get_photo(photo_id) - Get photo details
• get_user_photos(user_id) - Get user's photos
• get_album(album_id) - Get album
• create_album(name, description) - Create album

Social Features

• get_friends() - Get friends list
• block_user(user_id) - Block user
• unblock_user(user_id) - Unblock user
• bookmark_user(user_id, note) - Bookmark user
• like_content(content_id, type) - Like content

Real-time & Notifications

• get_notifications() - Get notifications
• mark_notification_read(id) - Mark as read
• register_push_token(token) - Register for push
• get_views() - Get profile views

Data Models

All API responses are automatically parsed into comprehensive data models:

# User Profile
profile = client.get_self()
print(profile.name)        # str
print(profile.age)         # int
print(profile.country)     # str
print(profile.bio)         # str
print(profile.languages)   # List[str]

# Message Thread
thread = client.get_threads()[0]
print(thread.id)                    # str
print(thread.participants)          # List[User]
print(thread.last_message.content)  # str
print(thread.unread_count)          # int

# Notification
notif = client.get_notifications()[0]
print(notif.type)         # str
print(notif.message)      # str
print(notif.actor.name)   # str
print(notif.read)         # bool

Event System

Available Events

• on_ready - Client connected and ready
• on_message - New message received
• on_typing - User typing indicator
• on_notification - New notification
• on_status_change - User status change
• on_user_online - User comes online
• on_user_offline - User goes offline
• on_disconnect - WebSocket disconnected

Registering Events

# Method 1: Using decorator
@client.event('on_message')
async def handle_message(data):
    print(f"Message: {data}")

# Method 2: Programmatically
async def my_handler(data):
    print(f"Notification: {data}")

client._ws_client.register_event('on_notification', my_handler)

Error Handling

The library provides comprehensive exception handling:

from interpal import (
    InterpalException,
    AuthenticationError,
    APIError,
    RateLimitError,
    WebSocketError,
    ValidationError
)

try:
    client.login()
except AuthenticationError as e:
    print(f"Login failed: {e}")
except APIError as e:
    print(f"API error ({e.status_code}): {e}")
except RateLimitError as e:
    print(f"Rate limited. Retry after {e.retry_after} seconds")

Advanced Usage

State Management & Caching

# Configure cache for high-usage applications
client = InterpalClient(
    username="user",
    password="pass",
    max_messages=5000,        # Increase cache size for bots
    cache_users=True,         # Always cache users
    cache_threads=True,       # Cache message threads
    weak_references=False     # Disable weak refs for long-running bots
)

# Monitor cache performance
def monitor_cache():
    stats = client.get_cache_stats()
    if stats['hit_rate'] < 0.5:  # Low hit rate
        print("Consider increasing cache size")
    if stats['evictions'] > 100:  # Many evictions
        print("Cache is too small, increase max_messages")

# Periodic cache cleanup (useful for long-running bots)
import time

def cache_maintenance_loop():
    while True:
        time.sleep(3600)  # Every hour
        stats = client.get_cache_stats()
        print(f"Cache stats: {stats}")

        # Clear old caches if memory is high
        if stats['cache_sizes']['messages'] > 4000:
            client.clear_message_cache()

Custom User Agent

client = InterpalClient(
    username="user",
    password="pass",
    user_agent="my-app/2.0.0"
)

Rate Limiting Configuration

from interpal.http import HTTPClient

# Adjust minimum request interval (default: 1 second)
client.http._min_request_interval = 2.0  # 2 seconds between requests

Retry Configuration

from interpal import InterpalClient
from interpal.http import HTTPClient

client = InterpalClient(...)
client.http.max_retries = 5  # Default: 3

WebSocket Reconnection

# Configure reconnection behavior
client._ws_client._max_reconnect_attempts = 10  # Default: 5
client._ws_client._reconnect_delay = 3  # Default: 2 seconds

Examples

Check the examples/ directory for complete examples:

• basic_sync.py - Basic synchronous usage
• async_example.py - Asynchronous operations (updated with state management)
• realtime_bot.py - Real-time bot with event handlers
• bot_example.py - UPDATED: Full-featured bot with state management (v2.0.0)
• bot_with_cogs.py - Advanced bot with Cogs (command groups)
• state_management_demo.py - NEW: State management and caching features

Testing

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

# Run tests
pytest

# Run tests with coverage
pytest --cov=interpal tests/

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

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

Disclaimer

This is an unofficial library and is not affiliated with or endorsed by Interpals. Use at your own risk and in accordance with Interpals' Terms of Service.

Documentation

For detailed documentation, please refer to the docs/ folder:

• 📚 Getting Started Guide - Detailed setup and first steps
• ⚡ Quick Start Guide - Get up and running quickly
• 📖 API Reference - Complete API documentation
• 🤖 Bot Extension Guide - Build command-based bots (Discord.py-style)
• 🧠 NEW: State Management Guide - Smart caching and performance optimization
• 🔄 NEW: Migration Guide - Upgrade from v1.x to v2.0.0
• 🔐 Session Persistence Guide - Automatic session management
• 🔧 API Endpoint Corrections - Verified API endpoints
• 🏗️ Project Structure - Understanding the codebase
• 📝 Implementation Summary - Technical implementation details
• ✅ Verification Checklist - Testing and verification guide

Support

• 📖 Documentation
• 🐛 Issue Tracker
• 💬 Discussions

Changelog

Version 1.0.0 (Initial Release)

• ✅ Complete API coverage for 70+ endpoints
• ✅ Synchronous and asynchronous client support
• ✅ WebSocket support for real-time events
• ✅ Comprehensive data models
• ✅ Event system with decorators
• ✅ Authentication management
• ✅ Rate limiting and auto-retry
• ✅ Full documentation and examples

Acknowledgments

• Inspired by discord.py
• Built with love for the Interpals community

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Made with ❤️ by the Interpals Python Library Contributors