Date,Sent Amount,Sent Currency,Received Amount,Received Currency,Fee Amount,Fee Currency,Net Worth Amount,Net Worth Currency,Label,Description,TxHash

Date,Received Quantity,Received Currency,Sent Quantity,Sent Currency,Fee Amount,Fee Currency,Tag

Date (UTC),Type,Received Currency,Received Amount,Sent Currency,Sent Amount,Fee Currency,Fee Amount,Exchange/Wallet

Type,BuyAmount,BuyCurrency,SellAmount,SellCurrency,FeeAmount,FeeCurrency,Exchange,Group,Comment,Date

Description of Property,Date Acquired,Date Sold,Proceeds,Cost Basis,Gain or Loss

tx = {
    "type": "swap",
    "sent": {"amount": 1.5, "currency": "SOL", "usd_value": 225.00},
    "received": {"amount": 50000, "currency": "BONK", "usd_value": 224.50},
    "fee": {"amount": 0.000005, "currency": "SOL", "usd_value": 0.00075},
    "timestamp": "2025-03-15T14:30:00Z",
    "tx_hash": "5abc...def",
}

from enum import Enum

class CostBasisMethod(Enum):
    FIFO = "fifo"      # First In, First Out (IRS default)
    LIFO = "lifo"      # Last In, First Out
    HIFO = "hifo"      # Highest In, First Out (minimizes gains)
    SPEC_ID = "spec_id" # Specific Identification (requires lot tracking)

def compute_gain(
    proceeds: float,
    cost_basis: float,
    adjustments: float = 0.0,
) -> float:
    """Compute gain or loss for Form 8949 column (h)."""
    return proceeds - cost_basis + adjustments

def reconcile(
    journal_trades: list[dict],
    onchain_txs: list[dict],
    tolerance: float = 0.001,
) -> dict:
    """Match journal entries to on-chain transactions.

    Args:
        journal_trades: Internal trade records with tx_hash field.
        onchain_txs: Parsed on-chain transactions.
        tolerance: Relative tolerance for amount matching.

    Returns:
        Dict with matched, missing_onchain, missing_journal,
        mismatched lists.
    """
    onchain_by_hash = {tx["tx_hash"]: tx for tx in onchain_txs}
    matched, missing_onchain, missing_journal, mismatched = [], [], [], []

    for trade in journal_trades:
        tx = onchain_by_hash.pop(trade.get("tx_hash", ""), None)
        if tx is None:
            missing_onchain.append(trade)
        elif abs(trade["amount"] - tx["amount"]) / max(tx["amount"], 1e-9) > tolerance:
            mismatched.append({"journal": trade, "onchain": tx})
        else:
            matched.append({"journal": trade, "onchain": tx})

    missing_journal = list(onchain_by_hash.values())

    return {
        "matched": matched,
        "missing_onchain": missing_onchain,
        "missing_journal": missing_journal,
        "mismatched": mismatched,
        "summary": {
            "total_journal": len(journal_trades),
            "total_onchain": len(onchain_txs),
            "matched": len(matched),
            "missing_onchain": len(missing_onchain),
            "missing_journal": len(missing_journal),
            "mismatched": len(mismatched),
        },
    }

from scripts.tax_exporter import (
    generate_demo_trades,
    export_koinly_csv,
    export_form_8949_csv,
)

# Generate sample trades
trades = generate_demo_trades()

# Export to Koinly format
export_koinly_csv(trades, "koinly_import.csv")

# Export to Form 8949 format
export_form_8949_csv(trades, "form_8949.csv")

python scripts/tax_exporter.py --demo