merge: chore/cleanup-remove-bloat-and-secrets into main
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179
app/routers/rebalance_bot.py
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179
app/routers/rebalance_bot.py
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#!/usr/bin/env python3
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"""#20 — Cross-Chain Portfolio Rebalance Bot. Users set automated rebalancing rules.
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Executes via x402, monitors via DataBus. "Keep 50% USDC on Solana, 30% ETH on Arbitrum." """
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import os
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from datetime import UTC, datetime
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import httpx
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from fastapi import APIRouter, BackgroundTasks, HTTPException
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from pydantic import BaseModel
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router = APIRouter(prefix="/api/v1/rebalance", tags=["portfolio-rebalance"])
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DATABUS = os.environ.get("DATABUS_URL", "http://localhost:8000/api/v1/databus")
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BACKEND = os.environ.get("BACKEND_URL", "http://localhost:8000")
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# In-memory store for rebalancing rules (Redis/DB in prod)
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_rebalance_rules: dict[str, dict] = {}
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class RebalanceRule(BaseModel):
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user_id: str
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name: str
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allocations: list[dict] # [{"chain": "solana", "token": "USDC", "target_pct": 50}, ...]
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rebalance_threshold_pct: float = 5.0 # Rebalance if any allocation off by >5%
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max_slippage_pct: float = 1.0
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enabled: bool = True
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@router.post("/rules")
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async def create_rebalance_rule(rule: RebalanceRule):
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"""Create an automated portfolio rebalancing rule."""
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rule_id = f"{rule.user_id}:{rule.name}"
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_rebalance_rules[rule_id] = {
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"id": rule_id,
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"user_id": rule.user_id,
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"name": rule.name,
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"allocations": rule.allocations,
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"rebalance_threshold_pct": rule.rebalance_threshold_pct,
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"max_slippage_pct": rule.max_slippage_pct,
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"enabled": rule.enabled,
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"created_at": datetime.now(UTC).isoformat(),
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"last_rebalanced": None,
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}
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return {"id": rule_id, "status": "created", "allocations": rule.allocations}
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@router.get("/rules/{user_id}")
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async def list_rules(user_id: str):
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"""List all rebalancing rules for a user."""
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user_rules = [r for rid, r in _rebalance_rules.items() if r["user_id"] == user_id]
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return {"rules": user_rules, "count": len(user_rules)}
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@router.delete("/rules/{rule_id}")
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async def delete_rule(rule_id: str):
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"""Delete a rebalancing rule."""
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_rebalance_rules.pop(rule_id, None)
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return {"id": rule_id, "status": "deleted"}
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@router.get("/simulate/{user_id}")
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async def simulate_rebalance(user_id: str):
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"""Simulate rebalancing — check what would change without executing."""
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user_rules = [r for rid, r in _rebalance_rules.items() if r["user_id"] == user_id and r["enabled"]]
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if not user_rules:
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return {"simulations": [], "note": "No enabled rules found"}
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simulations = []
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for rule in user_rules[:5]:
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current: list[dict] = []
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# Fetch current balances for each allocation
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async with httpx.AsyncClient(timeout=15) as client:
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for alloc in rule["allocations"]:
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try:
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resp = await client.get(
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f"{DATABUS}/{alloc['chain']}/balance/{user_id}", params={"token": alloc.get("token", "native")}
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)
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if resp.status_code == 200:
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data = resp.json().get("data", {})
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current.append(
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{
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"chain": alloc["chain"],
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"token": alloc.get("token", "native"),
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"balance_usd": data.get("value_usd", 0) or 0,
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"current_pct": 0,
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"target_pct": alloc["target_pct"],
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"difference_pct": 0,
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}
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)
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except Exception:
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current.append(
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{
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"chain": alloc["chain"],
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"token": alloc.get("token", "native"),
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"balance_usd": 0,
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"target_pct": alloc["target_pct"],
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"error": "unavailable",
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}
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)
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# Calculate percentages and differences
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total = sum(a["balance_usd"] for a in current) or 1
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needs_rebalance = False
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for a in current:
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a["current_pct"] = round((a["balance_usd"] / total) * 100, 1)
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a["difference_pct"] = round(a["current_pct"] - a["target_pct"], 1)
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if abs(a["difference_pct"]) > rule["rebalance_threshold_pct"]:
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needs_rebalance = True
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simulations.append(
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{
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"rule": rule["name"],
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"needs_rebalance": needs_rebalance,
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"total_value_usd": round(total, 2),
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"current_allocations": current,
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"rebalance_threshold_pct": rule["rebalance_threshold_pct"],
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}
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)
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return {"simulations": simulations}
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@router.post("/execute/{rule_id}")
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async def execute_rebalance(rule_id: str, background_tasks: BackgroundTasks):
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"""Execute a rebalancing operation (simulation only — no real execution without x402)."""
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rule = _rebalance_rules.get(rule_id)
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if not rule:
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raise HTTPException(404, "Rule not found")
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if not rule["enabled"]:
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raise HTTPException(400, "Rule is disabled")
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# Simulation mode — return what WOULD be executed
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async with httpx.AsyncClient(timeout=15) as client:
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trades_needed: list[dict] = []
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current_values: list[dict] = []
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for alloc in rule["allocations"]:
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try:
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resp = await client.get(f"{DATABUS}/{alloc['chain']}/balance/{rule['user_id']}")
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if resp.status_code == 200:
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data = resp.json().get("data", {})
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current_values.append(
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{
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"chain": alloc["chain"],
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"token": alloc.get("token", "native"),
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"value_usd": data.get("value_usd", 0) or 0,
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"target_pct": alloc["target_pct"],
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}
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)
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except Exception:
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pass
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total = sum(a["value_usd"] for a in current_values) or 1
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for a in current_values:
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current_pct = (a["value_usd"] / total) * 100
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diff_pct = current_pct - a["target_pct"]
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diff_usd = total * (diff_pct / 100)
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if abs(diff_pct) > rule["rebalance_threshold_pct"]:
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trades_needed.append(
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{
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"chain": a["chain"],
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"token": a["token"],
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"action": "SELL" if diff_pct > 0 else "BUY",
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"amount_usd": round(abs(diff_usd), 2),
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"current_pct": round(current_pct, 1),
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"target_pct": a["target_pct"],
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}
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)
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rule["last_rebalanced"] = datetime.now(UTC).isoformat()
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return {
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"rule_id": rule_id,
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"status": "simulated",
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"total_value_usd": round(total, 2),
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"trades_needed": trades_needed,
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"note": "Simulation only. Real execution requires x402 payment authorization.",
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}
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