ASFConnector API

ASFConnector is an asynchronous Python client for interacting with the ArchiSteamFarm (ASF) IPC API. It features a modular architecture with connection pool reuse, providing high-performance API call experience.

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API Implementation Details

Architecture Design

Core Components

1. ASFConnector (__init__.py)

   • Main entry class managing connection lifecycle
   • Unified management of all Controller instances
   • Supports async with context manager for connection pool reuse

2. IPCProtocolHandler (IPCProtocol.py)

   • Low-level HTTP client wrapper
   • Implements asynchronous requests using httpx.AsyncClient
   • Supports connection pool reuse for improved performance

3. BaseController (BaseController.py)

   • Base class for all Controllers
   • Provides common GET/POST/DELETE request methods
   • Unified logging

4. ASFConfig (config.py)

   • Pydantic-based configuration management
   • Supports loading configuration from .env files
   • Automatic parameter validation

5. Controller Modules

   • ASFController: ASF global operations (get info, update config, restart, etc.)
   • BotController: Bot-related operations (start, stop, redeem, etc.)
   • NLogController: Logging operations (retrieve log files)
   • TypeController: Type information queries
   • StructureController: Structure information queries
   • CommandController: Command execution (marked as legacy)

Quick Start

⚠️ IMPORTANT: Configure Default Bot in ASF

Before using any Bot-related operations with this library, you MUST configure a DefaultBot in your ASF global configuration. Without this setting, all Bot-related operations may exhibit random behavior and produce unexpected results.

Add the following to your ASF ASF.json configuration file:

{
  "DefaultBot": "your_primary_bot_name"
}

For more details, see: ASF Configuration - DefaultBot

Configuration Setup

1. Copy .env.example to .env:

cp .env.example .env

2. Edit the .env file:

ASF_HOST=127.0.0.1
ASF_PORT=1242
ASF_PASSWORD=your_ipc_password
ENABLE_RICH_TRACEBACK=False

Basic Usage (Recommended)

Use .env configuration file with automatic loading:

import asyncio
from ASFConnector import ASFConnector

async def main():
    # Auto-load configuration from .env file
    async with ASFConnector.from_config() as connector:
        # Get ASF info
        asf_info = await connector.asf.get_info()
        print(f"ASF Version: {asf_info['Result']['Version']}")
        
        # Get Bot info
        bot_info = await connector.bot.get_info('bot_name')
        print(bot_info)

asyncio.run(main())

Using Custom Configuration

import asyncio
from ASFConnector import ASFConnector
from ASFConnector.config import ASFConfig

async def main():
    # Create custom configuration
    config = ASFConfig(
        asf_host='192.168.1.100',
        asf_port='8080',
        asf_password='my_password'
    )
    
    async with ASFConnector.from_config(config) as connector:
        info = await connector.asf.get_info()
        print(info)

asyncio.run(main())

Direct Parameters (Backward Compatible)

import asyncio
from ASFConnector import ASFConnector

async def main():
    # Create connection with direct parameters
    async with ASFConnector(
        host='127.0.0.1',
        port='1242',
        password='your_ipc_password'
    ) as connector:
        info = await connector.asf.get_info()
        print(f"Request: {info['Success']}")

asyncio.run(main())

API Reference

ASFController

get_info()

Get ASF global information.

info = await connector.asf.get_info()

Response Example:

{
    "Success": true,
    "Result": {
        "Version": "5.4.0.3",
        "BuildVariant": "generic",
        ...
    }
}

update_config(config: dict)

Update ASF global configuration.

config = {
    "AutoRestart": True,
    "UpdatePeriod": 24
}
result = await connector.asf.update_config(config)

exit()

Shut down ASF.

result = await connector.asf.exit()

restart()

Restart ASF.

result = await connector.asf.restart()

update()

Update ASF to the latest stable version.

result = await connector.asf.update()

encrypt(data: dict)

Encrypt data using ASF encryption mechanisms.

data = {
    "CryptoMethod": 0,  # Encryption method (0 = AES)
    "StringToEncrypt": "my_sensitive_data"
}
result = await connector.asf.encrypt(data)

hash(data: dict)

Hash data using ASF hashing mechanisms.

data = {
    "HashMethod": 0,  # Hashing method (0 = SHA256)
    "StringToHash": "my_string_to_hash"
}
result = await connector.asf.hash(data)

BotController

get_info(bot_names: str)

Get information for specified Bot(s).

# Single Bot
info = await connector.bot.get_info('bot1')

# Multiple Bots (comma-separated)
info = await connector.bot.get_info('bot1,bot2')

# All Bots
info = await connector.bot.get_info('ASF')

start(bot_names: str)

Start specified Bot(s).

result = await connector.bot.start('bot1')

stop(bot_names: str)

Stop specified Bot(s).

result = await connector.bot.stop('bot1')

pause(bot_names: str)

Pause card farming for specified Bot(s).

result = await connector.bot.pause('bot1')

resume(bot_names: str)

Resume card farming for specified Bot(s).

result = await connector.bot.resume('bot1')

redeem(bot_names: str, keys)

Redeem CD-Keys on specified Bot(s).

# Single key
result = await connector.bot.redeem('bot1', 'XXXXX-XXXXX-XXXXX')

# Multiple keys
keys = ['KEY1', 'KEY2', 'KEY3']
result = await connector.bot.redeem('bot1', keys)

add_license(bot_names: str, licenses)

Add free licenses.

result = await connector.bot.add_license('bot1', [12345, 67890])

get_inventory(bot_names: str, app_id: int = None, context_id: int = None)

Get inventory information.

# Get general inventory
inventory = await connector.bot.get_inventory('bot1')

# Get specific game inventory (Steam trading cards)
inventory = await connector.bot.get_inventory('bot1', app_id=753, context_id=6)

input(bot_names: str, input_type: str, input_value: str)

Provide input value for Bot (e.g., Steam Guard code).

result = await connector.bot.input('bot1', 'SteamGuard', 'ABCDE')

rename(bot_name: str, new_name: str)

Rename a Bot.

result = await connector.bot.rename('old_bot_name', 'new_bot_name')

delete_games_to_redeem_in_background(bot_names: str)

Delete background game redemption output files.

result = await connector.bot.delete_games_to_redeem_in_background('bot1')

NLogController

get_log_file()

Get ASF log file content.

log_content = await connector.nlog.get_log_file()
if log_content.get('Success'):
    print(log_content['Result'])

get_log_stream()

Get real-time log stream (requires WebSocket support).

# Note: This endpoint requires a WebSocket client
# Currently returns instructions on how to use WebSocket connection
result = await connector.nlog.get_log_stream()

TypeController

get_type(type_name: str)

Get type information for the specified type.

type_info = await connector.type.get_type('ArchiSteamFarm.Steam.Storage.BotConfig')

StructureController

get_structure(structure_name: str)

Get default structure for the specified type.

structure = await connector.structure.get_structure('ArchiSteamFarm.Storage.GlobalConfig')

CommandController (IPC API Legacy Feature)

Note: This Controller has been marked as legacy by ASF. It's recommended to use specific methods from ASFController and BotController.

execute(command: str)

Execute a command.

result = await connector.command.execute('status ASF')

Configuration Management

Configuration Validation

ASFConfig uses Pydantic for configuration validation:

from ASFConnector.config import ASFConfig
from pydantic import ValidationError

try:
    config = ASFConfig(
        asf_host='127.0.0.1',
        asf_port='1242',  # Automatic port range validation (1-65535)
        asf_path='Api'    # Automatically adds leading slash -> '/Api'
    )
    config.log_config()
except ValidationError as e:
    print(f"Configuration validation failed: {e}")

Configuration Parameters

Performance Optimization

Connection Pool Reuse

Using the async with context manager significantly improves performance:

# Without connection pool (creates new connection for each request)
async with ASFConnector.from_config() as connector:
    await connector.asf.get_info()  # Slower

# With connection pool (reuses connections, recommended)
async with ASFConnector.from_config() as connector:
    for i in range(100):
        await connector.asf.get_info()  # Much faster!

Performance Comparison

Based on test results (10 requests):

Results for 10 requests:
  Legacy API (no pool):     0.109s (10.9ms per request)
  New Controller (no pool): 0.111s (11.1ms per request)
  New Controller (w/ pool): 0.004s (0.4ms per request)

Speedup with connection pool: 28.51x faster
Time saved per request: 10.7ms

Error Handling

All API calls return a dictionary containing a Success field:

response = await connector.asf.get_info()

if response.get('Success'):
    data = response.get('Result')
    print(f"Success: {data}")
else:
    error_msg = response.get('Message', 'Unknown error')
    print(f"Error: {error_msg}")

When IPC requests trigger HTTP/network exceptions, the response dictionary will also include:

• ExceptionType: The corresponding custom exception class name (e.g., ASF_NotFound)
• Exception: The specific exception instance with status_code and original payload
• StatusCode: HTTP status code (if available)
• ResponsePayload: JSON or plain text content returned by ASF (if available)

The library provides unified exception definitions, accessible through the top-level ASFConnector export or the ASFConnector.error module:

from ASFConnector import ASF_BadRequest, ASF_NotFound

response = await connector.type.get_type('ArchiSteamFarm.Storage.UnknownType')
if not response['Success']:
    exc = response['Exception']
    if isinstance(exc, ASF_NotFound):
        print("Type does not exist, original response:", response.get('ResponsePayload'))
    else:
        raise exc  # Raise or log as needed

All built-in exceptions inherit from ASFConnectorError. Common HTTP status code to exception mappings:

More Information

• API Implementation Details
• ASF IPC API Documentation
• ASF Wiki

License

This project follows the same license as dmcallejo/ASFBot.