rmi-backend/app/domains/x402/tools/report_tools.py

"""x402 report tools - generate_report, get_report."""

from typing import Any


async def generate_report(subject_type: str, subject_id: str, model: str = "deepseek-v3") -> dict[str, Any]:
    """Generate a research report."""
    return {
        "report_id": "pending",
        "subject_type": subject_type,
        "subject_id": subject_id,
        "sections": {},
        "risk_score": 50,
        "markdown": "# Pending Report\n\n[Report generation pending]",
    }


async def get_report(report_id: str) -> dict[str, Any]:
    """Get a previously generated report."""
    return {
        "report_id": report_id,
        "status": "pending",
        "result": {},
    }


async def social_sentiment(token: str, chain: str = "solana") -> dict[str, Any]:
    """Get social sentiment analysis."""
    return {
        "token": token,
        "chain": chain,
        "sentiment": "neutral",
        "mentions": 0,
    }


async def cluster_detection(wallet_address: str, chain: str = "solana") -> dict[str, Any]:
    """Run cluster detection."""
    return {
        "wallet_address": wallet_address,
        "chain": chain,
        "clusters": [],
    }


async def insider_tracker(creator: str, chain: str = "solana") -> dict[str, Any]:
    """Track insider activity."""
    return {
        "creator": creator,
        "chain": chain,
        "insider_activity": [],
    }


async def twitter_profile(query: str) -> dict[str, Any]:
    """Get Twitter profile."""
    return {
        "query": query,
        "profile": {},
    }


async def twitter_timeline(query: str) -> dict[str, Any]:
    """Get Twitter timeline."""
    return {
        "query": query,
        "tweets": [],
    }


async def twitter_search(query: str) -> dict[str, Any]:
    """Search Twitter."""
    return {
        "query": query,
        "results": [],
    }


async def launch_radar(chain: str = "solana", window_minutes: int = 5) -> dict[str, Any]:
    """Get launch radar."""
    return {
        "chain": chain,
        "window_minutes": window_minutes,
        "launches": [],
    }


async def launch_intel(chain: str = "solana", hours: int = 24) -> dict[str, Any]:
    """Get launch intelligence."""
    return {
        "chain": chain,
        "hours": hours,
        "launches": [],
    }


async def token_pulse(token_address: str, chain: str = "solana") -> dict[str, Any]:
    """Get token pulse."""
    return {
        "token_address": token_address,
        "chain": chain,
        "pulse": "pending",
    }


async def anomaly_detector(chain: str = "solana") -> dict[str, Any]:
    """Run anomaly detection."""
    return {
        "chain": chain,
        "anomalies": [],
    }


async def whale_decoder(address: str, chain: str = "solana") -> dict[str, Any]:
    """Decode whale activity."""
    return {
        "address": address,
        "chain": chain,
        "whale_activity": [],
    }


async def chain_health(chain: str = "solana") -> dict[str, Any]:
    """Check chain health."""
    return {
        "chain": chain,
        "health": "pending",
    }


async def portfolio_tracker(addresses: list[str], chain: str = "solana") -> dict[str, Any]:
    """Track portfolio."""
    return {
        "addresses": addresses,
        "chain": chain,
        "portfolio": [],
    }


async def copy_trade_finder(chain: str = "solana") -> dict[str, Any]:
    """Find copy trade opportunities."""
    return {
        "chain": chain,
        "opportunities": [],
    }


async def risk_monitor(address: str, chain: str = "solana") -> dict[str, Any]:
    """Monitor risk."""
    return {
        "address": address,
        "chain": chain,
        "risk_level": "pending",
    }


async def defi_yield_scanner(chain: str = "solana") -> dict[str, Any]:
    """Scan DeFi yield opportunities."""
    return {
        "chain": chain,
        "opportunities": [],
    }


async def nft_wash_detector(collection: str) -> dict[str, Any]:
    """Detect NFT wash trading."""
    return {
        "collection": collection,
        "wash_trading": False,
    }


async def bridge_security() -> dict[str, Any]:
    """Check bridge security."""
    return {
        "bridge_security": "pending",
    }


async def gas_forecast(chain: str = "solana") -> dict[str, Any]:
    """Forecast gas prices."""
    return {
        "chain": chain,
        "gas_forecast": "pending",
    }


async def sniper_alert(chain: str = "solana", hours: int = 24) -> dict[str, Any]:
    """Get sniper alerts."""
    return {
        "chain": chain,
        "hours": hours,
        "sniper_alerts": [],
    }


async def liquidity_flow(address: str, chain: str = "solana") -> dict[str, Any]:
    """Track liquidity flow."""
    return {
        "address": address,
        "chain": chain,
        "liquidity_flow": [],
    }


async def rug_pull_predictor(address: str, chain: str = "solana") -> dict[str, Any]:
    """Predict rug pull risk."""
    return {
        "address": address,
        "chain": chain,
        "risk_score": 50,
    }


async def airdrop_finder(chain: str = "solana") -> dict[str, Any]:
    """Find airdrop opportunities."""
    return {
        "chain": chain,
        "airdrops": [],
    }