the0-sdk 0.2.0

SDK for building trading bots on the0 platform

the0-sdk (Python)

SDK for building trading bots on the0 platform.

Installation

pip install the0-sdk

Or copy the the0/ directory to your project.

Quick Start

from the0 import parse, success, error, metric, log

# Parse bot configuration from environment
bot_id, config = parse()

log(f"Bot {bot_id} starting...")

# Access configuration
symbol = config.get("symbol", "BTC/USDT")
amount = config.get("amount", 100.0)

try:
    # Your trading logic here
    log(f"Trading {symbol} with amount {amount}")

    # Emit metrics for the dashboard
    metric("price", {
        "symbol": symbol,
        "value": 45000.50,
        "change_pct": 2.5
    })

    # Signal success
    success("Trade executed", {
        "symbol": symbol,
        "amount": amount
    })

except Exception as e:
    error(f"Trade failed: {e}")

API Reference

parse() -> Tuple[str, Dict]

Parse bot configuration from environment variables.

bot_id, config = parse()
# bot_id: Value of BOT_ID env var
# config: Parsed JSON from BOT_CONFIG env var

success(message: str, data: dict = None)

Output a success result.

success("Trade completed")
success("Trade completed", {"trade_id": "12345"})

error(message: str, data: dict = None)

Output an error result and exit with code 1.

if amount <= 0:
    error("Amount must be positive")
    # Program exits here

result(data: dict)

Output a custom JSON result.

result({
    "status": "success",
    "trade_id": "abc123",
    "filled_amount": 0.5,
    "average_price": 45123.50
})

metric(type: str, data: dict)

Emit a metric for the platform dashboard.

# Price metric
metric("price", {"symbol": "BTC/USD", "value": 45000})

# Trading signal
metric("signal", {"symbol": "ETH/USD", "direction": "long", "confidence": 0.85})

# Alert
metric("alert", {"type": "price_spike", "severity": "high"})

log(message: str, data: dict = None)

Log a message to the bot's logs.

log("Starting trade...")
log("Order placed", {"order_id": "12345"})

sleep(seconds: float)

Sleep utility.

sleep(5)  # Wait 5 seconds

Publishing (Maintainers)

This package is published to PyPI.

Prerequisites

1. Install build tools:

   pip install build twine
   

2. Create a PyPI API token at https://pypi.org/manage/account/token/

Publish

# Build the package
python -m build

# Upload to PyPI
twine upload dist/*

Version Bump

Update the version in pyproject.toml:

version = "0.2.0"

Then rebuild and publish.

License

Apache-2.0