game-api-client 0.1.0

Python client library for GAME trading API

GAME API Client

Simple Python client for the GAME trading API.

Python Compatibility

• Python 3.8+ (compatible 3.8 - 3.14)
• Tested on: 3.8, 3.9, 3.10, 3.11, 3.12, 3.13, 3.14
• Recommended: 3.11+ for best performance

Installation

Option 1: pip (recommended)

pip install game-api-client

Option 2: From source

git clone https://github.com/groupe-e/game-api-client.git
cd game-api-client
pip install -r requirements.txt
pip install -e .

Option 3: Poetry (for development)

git clone https://github.com/groupe-e/game-api-client.git
cd game-api-client
poetry install

Quick Start

# Copy environment template
cp .env.example .env

# Edit .env with your credentials
# GAME_API_TOKEN="your_personal_token"
# GAME_API_URL="https://your-game-api-url.com"
# GAME_API_VERIFY_SSL=false

# Run demo
python demo.py

Or programmatically:

import asyncio
from game_client import GameAPI

async def main():
    api = GameAPI(
        token="your_authentik_token",
        base_url="https://your-game-api-url.com"
    )
    
    # Test connection
    if await api.test_connection():
        print("Connected!")
    
    # Get data
    status = await api.get_status()
    trades = await api.get_trades()
    market = await api.get_market_data()

asyncio.run(main())

Environment Variables

Create a .env file:

GAME_API_TOKEN=your_authentik_personal_token
GAME_API_URL=https://your-game-api-url.com
GAME_API_VERIFY_SSL=false

Available Methods

Connection & Status

• test_connection() - Test API connection and authentication
• get_status() - Get API status and health information

Market Data

• get_market_data(direction=None, duration=None, sort_by_price=False) - Get market data points
  • direction: "buy" or "sell" (optional)
  • duration: Time duration like "15m", "30m", "1h" (optional)
  • sort_by_price: Sort results so the best offer for each side comes first (sell ascending, buy descending)
• get_market_best_offers(duration=None, top_n=None) - Get market offers grouped by contract/direction, best prices first
  • duration: Time duration filter like "15m", "30m", "1h" (optional)
  • top_n: Keep only the N best offers per direction per contract (optional)
• get_trades(direction=None, duration=None) - Get trades with optional filters
  • direction: "buy" or "sell" (optional)
  • duration: Time duration like "15m", "1h" (optional)
• get_market_ltp(market_zone=None) - Get last traded prices (LTP)
  • market_zone: Market zone like "10YCH-SWISSGRIDZ" (optional)
• get_latest_ltp() - Get latest LTP per contract across all zones
  • Returns dict mapping contract_id -> {price, volume, timestamp, market_zones, latest_zone}

Order Management

• get_orders(direction=None) - Get orders with optional filter
  • direction: "buy" or "sell" (optional)
• find_order_by_id(order_id) - Find specific order by ID
  • order_id: Order ID (string or numeric)
• create_order(order_data) - Create new order (single or bulk)
  • order_data: Order object or {"orders": [...]} for bulk
• delete_order(order_id) - Delete order by ID
  • order_id: Order ID (handles both string and numeric formats)

Spot Data

• get_spot_data() - Get spot market data
• get_spot_status() - Get spot API status

Usage Examples

Basic Usage

import asyncio
from game_client import GameAPI

async def main():
    api = GameAPI(
        token="your_authentik_token",
        base_url="https://your-game-api-url.com"
    )
    
    # Test connection
    if await api.test_connection():
        print("✅ Connected to API!")
    
    # Get basic data
    status = await api.get_status()
    market_data = await api.get_market_data()
    
    print(f"API Status: {status['status']}")
    print(f"Market data points: {len(market_data)}")

asyncio.run(main())

Order Management

async def order_examples():
    api = GameAPI(token="your_token", base_url="https://api.example.com")
    
    # Get all orders
    orders = await api.get_orders()
    print(f"Found {len(orders)} orders")
    
    # Get only buy orders
    buy_orders = await api.get_orders(direction="buy")
    
    # Create a single displayed order
    from datetime import datetime, timedelta
    future_time = datetime.now() + timedelta(hours=4)
    
    single_order = {
        "side": "buy",
        "price": 100.0,
        "volume": 1.0,
        "date": future_time.strftime("%Y-%m-%d"),
        "start_time": "14:00",
        "end_time": "15:00", 
        "duration": "15m",
        "tz_offset_hours": 0,
        "state": "displayed"  # Visible on the market (default)
    }
    
    result = await api.create_order(single_order)
    print(f"Created order: {result['order_id']}")
    
    # Create a hidden order (not visible to other participants)
    hidden_order = {
        "side": "buy",
        "price": 100.0,
        "volume": 1.0,
        "date": future_time.strftime("%Y-%m-%d"),
        "start_time": "14:00",
        "end_time": "15:00", 
        "duration": "15m",
        "tz_offset_hours": 0,
        "state": "hidden"  # Hidden from other participants
    }
    
    result = await api.create_order(hidden_order)
    print(f"Created hidden order: {result['order_id']}")
    
    # Create bulk orders with mixed states
    bulk_orders = {
        "orders": [
            {
                "side": "buy",
                "price": 100.0,
                "volume": 1.0,
                "date": future_time.strftime("%Y-%m-%d"),
                "start_time": "14:00",
                "end_time": "15:00",
                "duration": "15m",
                "tz_offset_hours": 0,
                "state": "displayed"
            },
            {
                "side": "sell", 
                "price": 200.0,
                "volume": 0.5,
                "date": future_time.strftime("%Y-%m-%d"),
                "start_time": "14:00",
                "end_time": "15:00",
                "duration": "15m",
                "tz_offset_hours": 0,
                "state": "hidden"
            }
        ]
    }
    
    bulk_result = await api.create_order(bulk_orders)
    print(f"Created {len(bulk_result['created'])} orders")
    
    # Find specific order
    order = await api.find_order_by_id(result['order_id'])
    if order:
        print(f"Found order: {order['direction']} {order['volume']} @ {order['price']}")
    
    # Delete order
    delete_result = await api.delete_order(result['order_id'])
    print(f"Order deleted: {delete_result['status']}")

Market Data with Filters

async def market_data_examples():
    api = GameAPI(token="your_token", base_url="https://api.example.com")
    
    # Get all trades
    all_trades = await api.get_trades()
    
    # Get only buy trades
    buy_trades = await api.get_trades(direction="buy")
    
    # Get trades with specific duration
    short_trades = await api.get_trades(duration="15m")
    
    # Get market data, sorted so best offers come first
    sorted_market = await api.get_market_data(sort_by_price=True)
    print(f"Sorted market data: {len(sorted_market)} points")

    # Get best offers grouped by contract (useful for liquidity analysis)
    best_offers = await api.get_market_best_offers(duration="15m", top_n=5)
    for contract, sides in best_offers.items():
        print(f"Contract: {contract}")
        print(f"  Best buys:  {[o['price'] for o in sides.get('buy', [])]}")
        print(f"  Best sells: {[o['price'] for o in sides.get('sell', [])]}")

    # Get spot data
    spot_data = await api.get_spot_data()
    spot_status = await api.get_spot_status()

    # Get last traded prices (LTP)
    ltp_data = await api.get_market_ltp()
    print(f"LTP entries: {len(ltp_data)}")

    # Get LTP for specific zone
    ch_ltp = await api.get_market_ltp(market_zone="10YCH-SWISSGRIDZ")
    print(f"CH LTP entries: {len(ch_ltp)}")

    # Get latest LTP per contract (like market table view)
    latest_ltp = await api.get_latest_ltp()
    for contract, data in latest_ltp.items():
        print(f"{contract}: {data['price']} EUR ({data['latest_zone']})")

    print(f"Total trades: {len(all_trades)}")
    print(f"Buy trades: {len(buy_trades)}")
    print(f"Short duration trades: {len(short_trades)}")
    print(f"Spot data points: {len(spot_data)}")
    print(f"Spot status: {spot_status['status']}")

Error Handling

async def error_handling_example():
    api = GameAPI(token="your_token", base_url="https://api.example.com")
    
    try:
        # This might fail if order data is invalid
        result = await api.create_order({"invalid": "data"})
    except GameAPIError as e:
        print(f"API Error: {e}")
    
    try:
        # This might fail if order doesn't exist
        await api.delete_order("non_existent_id")
    except GameAPIError as e:
        print(f"Delete failed: {e}")
    
    # Safe order lookup
    order = await api.find_order_by_id("some_id")
    if order is None:
        print("Order not found")
    else:
        print(f"Found order: {order}")

Order Data Format

Required Fields

All orders must include these required fields:

{
    "side": "buy",           # REQUIRED: "buy" or "sell"
    "price": 100.0,          # REQUIRED: Any number (positive, negative, zero)
    "volume": 1.0,           # REQUIRED: Positive number (> 0)  
    "date": "2024-01-15",    # REQUIRED: Future date in YYYY-MM-DD format
    "start_time": "14:00",   # REQUIRED: HH:MM format (future time)
    "end_time": "15:00",     # REQUIRED: HH:MM format (after start_time)
    "duration": "15m",       # REQUIRED: Time duration ("15m", "30m", "1h", etc.)
    "tz_offset_hours": 0,    # OPTIONAL: Timezone offset from UTC (auto-detected if not provided)
    "options": {               # OPTIONAL: Additional order options
        "trader_suffixe": "my_bot"  # OPTIONAL: Suffix appended to trader name (max 50 chars)
    }
}

Field Constraints

side

• Values: "buy" or "sell" (case-sensitive)
• Required: Yes

price

• Type: Number (float or int)
• Required: Yes
• Constraints: Can be positive, negative, or zero
• Example: 100.0, -50.5, 0.0

volume

• Type: Positive number (float or int)
• Required: Yes
• Constraints: Must be > 0
• Example: 1.0, 0.5

date

• Type: String
• Format: YYYY-MM-DD
• Required: Yes
• Constraints: Must be a future date
• Example: "2024-01-15"

start_time / end_time

• Type: String
• Format: HH:MM (24-hour)
• Required: Yes
• Constraints:
  • Must be future times
  • end_time must be after start_time
• Example: "14:00", "15:30"

duration

• Type: String
• Required: Yes
• Common values: "15m", "30m", "1h", "4h"
• Example: "15m" (15 minutes)

tz_offset_hours

• Type: Integer
• Required: No (auto-detected if not provided)
• Range: Typically -12 to +14
• Example: 0 (UTC), 1 (UTC+1), -5 (UTC-5)
• Note: If not provided, the system will auto-detect your timezone

state

• Type: String
• Required: No (defaults to "displayed")
• Values: "displayed" or "hidden"
• Description: Controls order visibility. A "displayed" order is visible on the market, while a "hidden" order is not shown to other participants.
• Example: "displayed", "hidden"

options

• Type: Dict (optional)
• Required: No
• Description: Additional order options passed to the API. Internal use only (Groupe-E).
• Fields:
  • trader_suffixe (str, optional): Suffix appended to the trader name (e.g. Hermes becomes Hermes_my_bot). Max 50 characters. Only available for Groupe-E accounts.
• Example: {"trader_suffixe": "my_bot"}, None, {}
• Note: This option is ignored for non Groupe-E accounts.

Complete Order Examples

Valid Buy Order (displayed)

buy_order = {
    "side": "buy",
    "price": 150.25,
    "volume": 2.5,
    "date": "2024-12-15",
    "start_time": "14:00",
    "end_time": "14:15", 
    "duration": "15m",
    "tz_offset_hours": 1,  # CET (UTC+1)
    "state": "displayed"   # Visible on the market (default)
}

Valid Sell Order (hidden)

sell_order = {
    "side": "sell",
    "price": 200.0,
    "volume": 1.0,
    "date": "2024-12-15",
    "start_time": "15:30",
    "end_time": "16:00",
    "duration": "30m", 
    "tz_offset_hours": 0,  # UTC
    "state": "hidden"      # Hidden from other participants
}

Time Validation Rules

1. Date must be in the future - Past dates will be rejected
2. Times must be in the future - Current time already passed will be rejected
3. End time > Start time - Duration must be positive
4. Duration should match time window - (end_time - start_time) should equal duration

Common Validation Errors

# ❌ Missing required field
{"side": "buy", "price": 100}  # Missing volume, date, etc.

# ❌ Invalid side
{"side": "invalid", ...}  # Must be "buy" or "sell"

# ❌ Negative price/volume  
{"side": "buy", "price": -10, "volume": 1.0, ...}  # Negative prices are now allowed!

# ❌ Negative volume
{"side": "buy", "price": 100, "volume": -1.0, ...}  # Volume must still be positive

# ❌ Past date
{"side": "buy", "date": "2020-01-01", ...}

# ❌ Invalid time format
{"side": "buy", "start_time": "2:00 PM", ...}  # Must be HH:MM

# ❌ End time before start time
{"side": "buy", "start_time": "15:00", "end_time": "14:00", ...}

# ❌ Invalid state
{"side": "buy", "state": "invisible", ...}  # Must be "displayed" or "hidden"

Bulk Orders Format

bulk_orders = {
    "orders": [
        # Order 1 - displayed (default)
        {
            "side": "buy",
            "price": 100.0,
            "volume": 1.0,
            "date": "2024-12-15",
            "start_time": "14:00",
            "end_time": "14:15",
            "duration": "15m",
            "tz_offset_hours": 0
        },
        # Order 2 - hidden
        {
            "side": "sell",
            "price": 200.0,
            "volume": 0.5,
            "date": "2024-12-15", 
            "start_time": "14:30",
            "end_time": "15:00",
            "duration": "30m",
            "tz_offset_hours": 0,
            "state": "hidden"
        },
        # ... more orders (up to API limits)
    ]
}

Helper Function for Order Creation

from datetime import datetime, timedelta

def create_order_data(side, price, volume, hours_in_future=4):
    """Helper to create valid order data"""
    future_time = datetime.now() + timedelta(hours=hours_in_future)
    
    # Round to next quarter hour
    minutes = future_time.minute
    if minutes < 15:
        future_time = future_time.replace(minute=15, second=0, microsecond=0)
    elif minutes < 30:
        future_time = future_time.replace(minute=30, second=0, microsecond=0)
    elif minutes < 45:
        future_time = future_time.replace(minute=45, second=0, microsecond=0)
    else:
        future_time = future_time.replace(minute=0, second=0, microsecond=0) + timedelta(hours=1)
    
    future_end = future_time + timedelta(minutes=15)
    
    return {
        "side": side,
        "price": float(price),
        "volume": float(volume),
        "date": future_time.strftime("%Y-%m-%d"),
        "start_time": future_time.strftime("%H:%M"),
        "end_time": future_end.strftime("%H:%M"),
        "duration": "15m",
        "tz_offset_hours": 0,
        "state": "displayed"  # or "hidden"
    }

# Usage
order = create_order_data("buy", 100.0, 1.0)
result = await api.create_order(order)

Response Formats

Order Creation Response

# Single order
{
    "order_id": "ord_abc123",
    "created_at": "2024-01-15T14:00:00Z",
    "direction": "buy",
    "volume": 1.0,
    "price": 100.0,
    "state": "Displayed",
    "contract": "BASE-QUOTE",
    "trader": "your_trader_name",
    "date": "2024-01-15",
    "start_time": "14:00",
    "end_time": "14:15",
    "duration": "15m",
    "tz_offset_hours": 0,
    "updated_at": "2024-01-15T14:00:00Z"
}

# Bulk orders
{
    "requested": 2,
    "created": [
        {
            "index": 0,
            "result": {
                "order_id": "ord_abc123",
                "created_at": "2024-01-15T14:00:00Z",
                "direction": "buy",
                "volume": 1.0,
                "price": 100.0,
                "state": "Displayed",
                "contract": "BASE-QUOTE",
                "trader": "your_trader_name",
                "date": "2024-01-15",
                "start_time": "14:00",
                "end_time": "14:15",
                "duration": "15m",
                "tz_offset_hours": 0,
                "updated_at": "2024-01-15T14:00:00Z"
            }
        },
        {
            "index": 1,
            "result": {
                "order_id": "ord_def456",
                "created_at": "2024-01-15T14:00:00Z",
                "direction": "sell",
                "volume": 0.5,
                "price": 200.0,
                "state": "Displayed",
                "contract": "BASE-QUOTE",
                "trader": "your_trader_name",
                "date": "2024-01-15",
                "start_time": "14:30",
                "end_time": "15:00",
                "duration": "30m",
                "tz_offset_hours": 0,
                "updated_at": "2024-01-15T14:00:00Z"
            }
        }
    ],
    "failed": [
        {
            "index": 2,
            "error": "Invalid price: must be positive number"
        }
    ]
}

Order Data (from get_orders)

{
    "order_id": 1234,                    # Numeric ID for deletion
    "direction": "buy",                  # "buy" or "sell"
    "volume": 1.0,                       # Order volume
    "price": 100.0,                      # Order price
    "state": "Displayed",                 # Order state
    "contract": "BASE-QUOTE",             # Trading pair
    "trader": "your_trader_name",         # Trader identifier
    "date": "2024-01-15",                # Order date
    "start_time": "14:00",               # Start time
    "end_time": "14:15",                 # End time
    "duration": "15m",                   # Duration
    "tz_offset_hours": 0,                # Timezone offset
    "created_at": "2024-01-15T14:00:00Z", # Creation timestamp
    "updated_at": "2024-01-15T14:00:00Z", # Last update timestamp
    "executed_volume": 0.0,              # Volume already executed (if any)
    "remaining_volume": 1.0,             # Volume remaining to execute
    "average_price": null,               # Average execution price (if executed)
    "execution_count": 0,                # Number of executions
    "total_value": 100.0,                # Total order value (volume × price)
    "metadata": {}                       # Additional metadata
}

Market Data Response

[
    {
        "timestamp": "2024-01-15T14:00:00Z",
        "contract": "BASE-QUOTE",
        "price": 100.5,
        "volume": 1500.0,
        "bid": 100.4,
        "ask": 100.6,
        "spread": 0.2,
        "high_24h": 105.0,
        "low_24h": 95.0,
        "volume_24h": 50000.0,
        "change_24h": 2.5,
        "change_percent_24h": 2.56
    }
]

Trades Data Response

[
    {
        "trade_id": "trade_abc123",
        "contract": "BASE-QUOTE",
        "direction": "buy",
        "volume": 1.0,
        "price": 100.5,
        "timestamp": "2024-01-15T14:00:00Z",
        "buyer": "buyer_name",
        "seller": "seller_name",
        "duration": "15m",
        "execution_time": "2024-01-15T14:07:30Z"
    }
]

LTP (Last Traded Price) Response

[
    {
        "market_zone": "10YCH-SWISSGRIDZ",
        "contract": "2025-01-15T14:00:00Z/PT15M",
        "price": 100.5,
        "volume": 1500.0,
        "timestamp": "2024-01-15T14:00:00Z"
    },
    {
        "market_zone": "10YDE-RWENET---I",
        "contract": "2025-01-15T14:00:00Z/PT15M",
        "price": 98.25,
        "volume": 2000.0,
        "timestamp": "2024-01-15T14:00:00Z"
    }
]

Latest LTP by Contract Response

{
    "2025-01-15T14:00:00Z/PT15M": {
        "price": 100.5,
        "volume": 1500.0,
        "timestamp": "2024-01-15T14:00:00Z",
        "market_zones": ["10YCH-SWISSGRIDZ", "10YDE-RWENET---I"],
        "latest_zone": "10YCH-SWISSGRIDZ"
    },
    "2025-01-15T14:15:00Z/PT15M": {
        "price": 98.0,
        "volume": 2000.0,
        "timestamp": "2024-01-15T14:05:00Z",
        "market_zones": ["10YCH-SWISSGRIDZ"],
        "latest_zone": "10YCH-SWISSGRIDZ"
    }
}

Spot Data Response

{
    "contract": "BASE-QUOTE",
    "price": 100.5,
    "volume": 1500.0,
    "bid": 100.4,
    "ask": 100.6,
    "spread": 0.2,
    "high_24h": 105.0,
    "low_24h": 95.0,
    "volume_24h": 50000.0,
    "change_24h": 2.5,
    "change_percent_24h": 2.56,
    "timestamp": "2024-01-15T14:00:00Z",
    "order_book": {
        "bids": [
            {"price": 100.4, "volume": 500.0},
            {"price": 100.3, "volume": 300.0}
        ],
        "asks": [
            {"price": 100.6, "volume": 400.0},
            {"price": 100.7, "volume": 200.0}
        ]
    }
}

API Status Response

{
    "status": "healthy",
    "version": "1.2.3",
    "timestamp": "2024-01-15T14:00:00Z",
    "services": {
        "orders": "operational",
        "trades": "operational", 
        "market_data": "operational",
        "spot": "operational"
    },
    "uptime": 86400,
    "response_time_ms": 45,
    "rate_limit": {
        "requests_per_minute": 1000,
        "requests_remaining": 999,
        "reset_time": "2024-01-15T14:01:00Z"
    }
}

Spot Status Response

{
    "status": "operational",
    "timestamp": "2024-01-15T14:00:00Z",
    "active_contracts": ["BASE-QUOTE", "OTHER-PAIR"],
    "market_open": true,
    "next_update": "2024-01-15T14:01:00Z",
    "last_update": "2024-01-15T13:59:00Z"
}

Error Handling

The client provides comprehensive error handling:

GameAPIError

All API errors raise GameAPIError with descriptive messages:

from game_client import GameAPI, GameAPIError

async def example():
    api = GameAPI(token="token", base_url="https://api.example.com")
    
    try:
        await api.create_order({"invalid": "data"})
    except GameAPIError as e:
        print(f"API Error: {e}")
        # Output: "API Error: Single order: Missing required field 'side'"

Common Errors

• Authentication: Invalid token or connection issues
• Validation: Missing required fields or invalid values
• Not Found: Order ID doesn't exist
• Network: Connection timeout or server errors

Best Practices

1. Always handle errors

try:
    result = await api.create_order(order_data)
except GameAPIError as e:
    logger.error(f"Order creation failed: {e}")
    return None

2. Test connection first

if not await api.test_connection():
    print("Cannot connect to API")
    return

3. Use find_order_by_id for safe lookups

order = await api.find_order_by_id(order_id)
if order is None:
    print("Order not found")
else:
    print(f"Found: {order}")

4. Validate order data before sending

# The client validates automatically, but you can pre-validate
required_fields = ["side", "price", "volume", "date", "start_time", "end_time"]
for field in required_fields:
    if field not in order_data:
        raise ValueError(f"Missing required field: {field}")

Advanced Usage

Custom Timeout and SSL

api = GameAPI(
    token="your_token",
    base_url="https://api.example.com",
    verify_ssl=True,        # Enable SSL verification (production)
    timeout=60              # Custom timeout in seconds
)

Bulk Operations

# Create multiple orders efficiently
bulk_orders = {
    "orders": [
        {"side": "buy", "price": 100, "volume": 1, ...},
        {"side": "sell", "price": 200, "volume": 0.5, ...},
        # ... up to 100 orders
    ]
}

result = await api.create_order(bulk_orders)
print(f"Created: {len(result['created'])}, Failed: {len(result['failed'])}")

Rate Limiting

The client handles rate limiting automatically through token management, but you should implement your own rate limiting for bulk operations:

import asyncio

async def safe_bulk_create(api, orders_list, batch_size=10):
    """Create orders in batches to avoid rate limits"""
    results = []
    
    for i in range(0, len(orders_list), batch_size):
        batch = orders_list[i:i + batch_size]
        bulk_data = {"orders": batch}
        
        try:
            result = await api.create_order(bulk_data)
            results.extend(result.get('created', []))
            
            # Small delay between batches
            if i + batch_size < len(orders_list):
                await asyncio.sleep(1)
                
        except GameAPIError as e:
            print(f"Batch {i//batch_size + 1} failed: {e}")
    
    return results

Testing

# Install dependencies
pip install -r requirements.txt
pip install -e .

# Install test dependencies
pip install pytest pytest-asyncio pytest-cov

# Run tests
pytest tests/ -v --cov=game_client

Docker

# Build
docker build -f Dockerfile.demo -t game-api-client .

# Option 1: Run with environment variables (recommended for production)
docker run --rm \
  -e GAME_API_TOKEN="your_token" \
  -e GAME_API_URL="https://your-game-api-url.com" \
  -e GAME_API_VERIFY_SSL=false \
  game-api-client

# Option 2: Run with .env file (for development)
docker run --rm \
  -v $(pwd)/.env:/app/.env:ro \
  game-api-client

# Option 3: Run with custom command
docker run --rm \
  -e GAME_API_TOKEN="your_token" \
  -e GAME_API_URL="https://your-game-api-url.com" \
  -e GAME_API_VERIFY_SSL=false \
  game-api-client python example.py

Development

# Setup development environment
poetry install

# Run example
python example.py

# Run tests
poetry run pytest tests/ -v