# --- Helper/Dummy functions for demonstration ---
# In a real system, these would make actual API calls.

def fetch_market_by_id(market_id: str) -> dict | None:
    """Simulates fetching market data from an API like Polymarket."""
    print(f"[API] Fetching market data for {market_id}...")
    # Dummy data for a cricket match market
    if market_id == "PK-vs-IND-2024":
        return {
            "id": "PK-vs-IND-2024",
            "question": "Will Pakistan beat India in the T20 match?",
            "outcomes": [
                {"price": 65, "side": "YES"}, # Price is in percentage (cents)
                {"price": 35, "side": "NO"}
            ]
        }
    return None

def get_market_price(market: dict) -> float:
    """Extracts the price from the market data."""
    # This is a simplification. A real function would need to know which side's price to get.
    # For this lesson, we assume we're interested in the first outcome's price.
    return market["outcomes"][0]["price"]

def get_token_id(market_id: str, side: str) -> str | None:
    """Simulates getting the unique token ID for a market outcome."""
    print(f"[API] Resolving token ID for {market_id} - {side}...")
    # In a real blockchain-based system, YES and NO are separate tokens (ERC-20, etc.)
    if market_id == "PK-vs-IND-2024" and side == "YES":
        return "0xTokenIDForYesOutcome"
    elif market_id == "PK-vs-IND-2024" and side == "NO":
        return "0xTokenIDForNoOutcome"
    return None

def place_order(market_id: str, side: str, amount: float, strategy: str) -> dict:
    """Simulates placing an order on the exchange."""
    import random
    import time
    
    print(f"[EXCHANGE] Placing order: {side} ${amount:.2f} on {market_id} using {strategy} strategy...")
    time.sleep(1) # Simulate network latency
    
    # Simulate random network failure or success
    if random.random() > 0.2: # 80% success rate
        return {
            "success": True,
            "order_id": f"ord_{int(time.time())}",
            "filled_amount": amount,
            "price_filled_at": 65.5 # Simulate a slightly different fill price
        }
    else:
        return {
            "success": False,
            "error": "Insufficient liquidity"
        }

# --- The Main Function We Are Studying ---

def execute_trade(market_id, side, amount, strategy='', question=''):
    """Complete trade execution with all safety checks."""
    
    # 1. Minimum order check
    if amount < 1.0:
        print(f'[EXEC] Amount ${amount:.2f} below minimum $1. Bumping to $1.')
        amount = 1.0
    
    # 2. Get fresh market price (prevent stale orders)
    market = fetch_market_by_id(market_id)
    if not market:
        print(f'[EXEC] Market not found: {market_id}')
        return None
    
    current_price = get_market_price(market)
    
    # 3. Price ceiling check
    if current_price > 96:
        print(f'[EXEC] Price {current_price}% > 96% ceiling. ABORT.')
        return None
    
    # 4. Get token ID
    token_id = get_token_id(market_id, side)
    if not token_id:
        print(f'[EXEC] Could not resolve token ID for {side}')
        return None
    
    # 5. Execute
    print(f'\n[EXEC] ATTEMPTING TRADE: {side} ${amount:.2f} on "{market["question"]}"')
    result = place_order(market_id, side, amount, strategy=strategy)
    
    if result and result.get('success'):
        print(f'[EXEC] SUCCESS: {side} ${amount:.2f} @ {current_price}%')
        # Log to database (This would call a function in db.py)
        # db.add_position(market_id, question, side, current_price/100, amount, strategy)
        print(f'[DB] Logging successful trade to database. Order ID: {result.get("order_id")}')
        return result
    
    print(f'[EXEC] FAILED to execute trade. Reason: {result.get("error", "Unknown")}')
    return None

# --- Example Usage ---
# execute_trade("PK-vs-IND-2024", "YES", 25.5, strategy="gemini_v1.5_flash")

# 1. Minimum order check
if amount < 1.0:
    print(f'[EXEC] Amount ${amount:.2f} below minimum $1. Bumping to $1.')
    amount = 1.0

# 2. Get fresh market price (prevent stale orders)
market = fetch_market_by_id(market_id)
if not market:
    print(f'[EXEC] Market not found: {market_id}')
    return None

current_price = get_market_price(market)

📊 Resilient Order Execution Flow
┌──────────────────┐
│ Order Signal     │
│ (Fresh price OK?)│
└────────┬─────────┘
         │
         ▼
┌──────────────────┐
│ Validate         │
│ - Slippage OK?   │
│ - Size OK?       │
│ - Budget OK?     │
└────┬──────────┬──┘
 ┌─NO─┘         │
 │          ┌─YES─┘
 ▼          ▼
[REJECT] ┌──────────────┐
         │ Send to API  │
         └────┬────┬────┘
          ┌─OK─┘    │
          │   ┌─FAIL┴─────┐
          │   │            │
          ▼   ▼            ▼
       [OK] [RETRY]   [MAX RETRY]
            (1/3)          │
             │         [CANCEL]
             │         Log error
             ▼
          [FILL]
          [Log OK]