#!/usr/bin/env python3
"""#11 — Liquidity Pool Health Monitor. Tracks LPs across DEXes on all DataBus chains.
Alerts on LP withdrawals, depletion, single-holder dominance."""

import os
from datetime import UTC, datetime

import httpx
from fastapi import APIRouter, Query
from pydantic import BaseModel

router = APIRouter(prefix="/api/v1/lp-health", tags=["lp-health-monitor"])

DATABUS = os.environ.get("DATABUS_URL", "http://localhost:8000/api/v1/databus")
BACKEND = os.environ.get("BACKEND_URL", "http://localhost:8000")
TG_BOT = os.environ.get("TELEGRAM_BOT_TOKEN", "")

# Tracked LPs (in-memory, Redis in prod)
_tracked_lps: dict[str, dict] = {}  # lp_id -> tracking config


class LPHealthResult(BaseModel):
    lp_address: str
    chain: str
    token_pair: str
    total_liquidity_usd: float
    liquidity_change_24h: float
    largest_holder_pct: float
    holder_count: int
    lp_locked_pct: float
    health_score: int  # 0-100
    alerts: list[str]


def _compute_health(ll: dict) -> tuple[int, list[str]]:
    """Compute LP health score from metrics."""
    score = 100
    alerts: list[str] = []

    if ll.get("largest_holder_pct", 0) > 50:
        score -= 40
        alerts.append(f"Single holder dominates {ll['largest_holder_pct']:.0f}% of LP")
    elif ll.get("largest_holder_pct", 0) > 30:
        score -= 20
        alerts.append(f"Concentrated LP: largest holder has {ll['largest_holder_pct']:.0f}%")

    if ll.get("lp_locked_pct", 100) < 50:
        score -= 30
        alerts.append(f"LP only {ll['lp_locked_pct']:.0f}% locked")
    elif ll.get("lp_locked_pct", 100) < 80:
        score -= 10

    change = ll.get("liquidity_change_24h", 0)
    if change < -50:
        score -= 35
        alerts.append(f"Massive LP drain: {change:.0f}% in 24h")
    elif change < -20:
        score -= 15
        alerts.append(f"Significant LP decrease: {change:.0f}% in 24h")

    if ll.get("total_liquidity_usd", 0) < 10000:
        score -= 10
        alerts.append(f"Low liquidity: ${ll['total_liquidity_usd']:,.0f}")

    return max(0, score), alerts


@router.get("/check/{lp_address}")
async def check_lp_health(lp_address: str, chain: str = Query("ethereum")):
    """Check health of a specific liquidity pool."""
    try:
        async with httpx.AsyncClient(timeout=10) as client:
            resp = await client.get(f"{DATABUS}/{chain}/pool/{lp_address}")
            if resp.status_code != 200:
                return {"error": f"LP not found on {chain}"}
            lp_data = resp.json().get("data", {})

        health, alerts = _compute_health(lp_data)
        return {
            "lp_address": lp_address,
            "chain": chain,
            "token_pair": lp_data.get("pair", f"{chain}/?"),
            "total_liquidity_usd": lp_data.get("liquidity_usd", 0) or 0,
            "liquidity_change_24h": lp_data.get("change_24h_pct", 0) or 0,
            "largest_holder_pct": lp_data.get("top_holder_pct", 0) or 0,
            "holder_count": lp_data.get("holder_count", 0) or 0,
            "lp_locked_pct": lp_data.get("locked_pct", 0) or 0,
            "health_score": health,
            "alerts": alerts,
        }
    except Exception as e:
        return {"lp_address": lp_address, "chain": chain, "error": str(e)}


@router.post("/track")
async def track_lp(lp_address: str, chain: str = Query("ethereum"), notify_tg: bool = Query(True)):
    """Start tracking an LP for health changes."""
    lp_id = f"{chain}:{lp_address}"
    _tracked_lps[lp_id] = {
        "lp_address": lp_address,
        "chain": chain,
        "notify": notify_tg,
        "added_at": datetime.now(UTC).isoformat(),
    }
    return {"id": lp_id, "status": "tracking"}


@router.delete("/track/{lp_id}")
async def untrack_lp(lp_id: str):
    """Stop tracking an LP."""
    _tracked_lps.pop(lp_id, None)
    return {"id": lp_id, "status": "removed"}


@router.get("/tracked")
async def list_tracked():
    return {"tracked": list(_tracked_lps.values()), "count": len(_tracked_lps)}


@router.get("/unhealthy")
async def find_unhealthy_pools(
    chain: str = Query("ethereum"),
    limit: int = Query(10, le=20),
):
    """Scan for unhealthy pools: low locked LP, LP drain, single-holder dominance."""
    unhealthy: list[dict] = []
    try:
        async with httpx.AsyncClient(timeout=15) as client:
            resp = await client.get(f"{DATABUS}/{chain}/pools/top?sort=risk&limit={limit * 3}")
            if resp.status_code == 200:
                pools = resp.json().get("data", {}).get("pools", [])
                for p in pools:
                    health, alerts = _compute_health(p)
                    if health < 70:
                        unhealthy.append(
                            {
                                "lp_address": p.get("address", ""),
                                "chain": chain,
                                "pair": p.get("pair", "?"),
                                "health_score": health,
                                "alerts": alerts,
                            }
                        )
    except Exception:
        pass

    unhealthy.sort(key=lambda p: p["health_score"])
    return {"chain": chain, "unhealthy_pools": unhealthy[:limit], "total_unhealthy": len(unhealthy)}