Files
randebu/src/backend/app/services/simulate/engine.py
shokollm 965efa122b feat: implement Simulate Engine for real-time signal detection
Implement simulate engine for real-time signal detection via REST polling.

Changes:
- SimulateEngine service with configurable check interval (default 60s for free tier)
- REST polling for current prices using AveCloudClient
- Condition matching for real-time data (price_drop, price_rise, volume_spike, price_level)
- Signal logging with user-initiated start/stop
- Simulation API endpoints:
  - POST /api/bots/{id}/simulate - Start simulation
  - GET /api/bots/{id}/simulate/{run_id} - Get status/signals
  - GET /api/bots/{id}/simulations - List all simulations
  - POST /api/bots/{id}/simulate/{run_id}/stop - Stop simulation
- Updated SimulationCreate schema with check_interval field
- Free tier limited to 60s minimum check interval
- Signals stored in database for simulation signal history

Depends on issue #7 (Backtest Engine) which was merged in PR #18
2026-04-08 11:25:51 +00:00

178 lines
6.1 KiB
Python

import uuid
import asyncio
from datetime import datetime
from typing import Dict, Any, List, Optional
from ..backtest.ave_client import AveCloudClient
class SimulateEngine:
def __init__(self, config: Dict[str, Any]):
self.config = config
self.run_id = str(uuid.uuid4())
self.status = "pending"
self.results: Optional[Dict[str, Any]] = None
self.signals: List[Dict[str, Any]] = []
self.ave_client = AveCloudClient(
api_key=config.get("ave_api_key", ""),
plan=config.get("ave_api_plan", "free"),
)
self.bot_id = config.get("bot_id")
self.strategy_config = config.get("strategy_config", {})
self.conditions = self.strategy_config.get("conditions", [])
self.actions = self.strategy_config.get("actions", [])
self.check_interval = config.get("check_interval", 60)
self.duration_seconds = config.get("duration_seconds", 3600)
self.auto_execute = config.get("auto_execute", False)
self.token = config.get("token", "")
self.chain = config.get("chain", "bsc")
self.running = False
self.started_at: Optional[datetime] = None
self.last_price: Optional[float] = None
self.last_volume: Optional[float] = None
async def run(self) -> Dict[str, Any]:
self.running = True
self.status = "running"
self.started_at = datetime.utcnow()
token_id = (
f"{self.token}-{self.chain}"
if self.token and not self.token.endswith(f"-{self.chain}")
else self.token
)
if not token_id or token_id == f"-{self.chain}":
self.status = "failed"
self.results = {"error": "Token ID is required"}
return self.results
end_time = datetime.utcnow().timestamp() + self.duration_seconds
try:
while self.running and datetime.utcnow().timestamp() < end_time:
try:
price_data = await self.ave_client.get_token_price(token_id)
if price_data:
current_price = float(price_data.get("price", 0))
current_volume = float(price_data.get("volume", 0))
if current_price > 0:
await self._check_conditions(
current_price, current_volume, price_data
)
self.last_price = current_price
self.last_volume = current_volume
except Exception as e:
pass
for _ in range(self.check_interval):
if not self.running:
break
await asyncio.sleep(1)
if self.running:
self.status = "completed"
else:
self.status = "stopped"
except Exception as e:
self.status = "failed"
self.results = {"error": str(e)}
self.results = self.results or {}
self.results["total_signals"] = len(self.signals)
self.results["signals"] = self.signals
self.results["started_at"] = self.started_at
self.results["ended_at"] = datetime.utcnow()
return self.results
async def _check_conditions(
self, current_price: float, current_volume: float, price_data: Dict[str, Any]
):
timestamp = int(datetime.utcnow().timestamp() * 1000)
for condition in self.conditions:
if self._check_condition(condition, current_price, current_volume):
await self._execute_actions(current_price, timestamp, condition)
break
def _check_condition(
self,
condition: Dict[str, Any],
current_price: float,
current_volume: float,
) -> bool:
cond_type = condition.get("type", "")
threshold = condition.get("threshold", 0)
price_level = condition.get("price")
direction = condition.get("direction", "above")
if cond_type == "price_drop":
if self.last_price is None or self.last_price <= 0:
return False
drop_pct = ((self.last_price - current_price) / self.last_price) * 100
return drop_pct >= threshold
elif cond_type == "price_rise":
if self.last_price is None or self.last_price <= 0:
return False
rise_pct = ((current_price - self.last_price) / self.last_price) * 100
return rise_pct >= threshold
elif cond_type == "volume_spike":
if self.last_volume is None or self.last_volume <= 0:
return False
volume_increase = (
(current_volume - self.last_volume) / self.last_volume
) * 100
return volume_increase >= threshold
elif cond_type == "price_level":
if price_level is None:
return False
if direction == "above":
return current_price > price_level
else:
return current_price < price_level
return False
async def _execute_actions(
self, price: float, timestamp: int, matched_condition: Dict[str, Any]
):
token = matched_condition.get("token", self.token)
reasoning = f"Condition {matched_condition.get('type')} triggered"
signal = {
"id": str(uuid.uuid4()),
"bot_id": self.bot_id,
"run_id": self.run_id,
"signal_type": "signal",
"token": token,
"price": price,
"confidence": 0.8,
"reasoning": reasoning,
"executed": self.auto_execute,
"created_at": datetime.utcnow(),
}
self.signals.append(signal)
async def stop(self):
self.running = False
self.status = "stopped"
def get_results(self) -> Dict[str, Any]:
return {
"id": self.run_id,
"status": self.status,
"results": self.results,
"signals": self.signals,
}
def get_signals(self) -> List[Dict[str, Any]]:
return self.signals