refactor: split precheck_core and migrate commands to commands/
- Split 900-line precheck_core.py into 9 focused modules: precheck_constants, time_utils, data_utils, state_manager, market_data, candidate_scoring, snapshot_builder, adaptive_profile, trigger_analyzer - Remove dead auto_trader command and module - Migrate 7 root-level command modules into commands/: check_api, doctor, external_gate, init_user_state, market_probe, paths, rotate_external_gate_log - Keep thin backward-compatible facades in root package - Update cli.py MODULE_MAP to route through commands/ - Verified compileall and smoke tests for all key commands
This commit is contained in:
14
README.md
14
README.md
@@ -168,6 +168,20 @@ coinhunter external-gate
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coinhunter rotate-external-gate-log
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coinhunter rotate-external-gate-log
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```
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```
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Supported top-level commands and aliases remain:
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- `check-api` / `api-check`
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- `doctor` / `diag`
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- `external-gate` / `gate`
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- `init`
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- `market-probe` / `probe`
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- `paths`
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- `precheck`
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- `review-context` / `review`
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- `review-engine` / `recap`
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- `rotate-external-gate-log` / `rotate-gate-log` / `rotate-log`
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- `smart-executor` / `exec`
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## Runtime model
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## Runtime model
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Default layout:
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Default layout:
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@@ -1,289 +0,0 @@
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#!/usr/bin/env python3
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"""
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Coin Hunter Auto Trader
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全自动妖币猎人 + 币安执行器
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运行前请在 ~/.hermes/.env 配置：
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BINANCE_API_KEY=你的API_KEY
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BINANCE_API_SECRET=你的API_SECRET
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首次运行建议用 DRY_RUN=True 测试逻辑。
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"""
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import json
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import os
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import sys
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import time
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from datetime import datetime, timezone, timedelta
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from pathlib import Path
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import ccxt
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from .runtime import get_runtime_paths, load_env_file
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# ============== 配置 ==============
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PATHS = get_runtime_paths()
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COINS_DIR = PATHS.root
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POSITIONS_FILE = PATHS.positions_file
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ENV_FILE = PATHS.env_file
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CST = timezone(timedelta(hours=8))
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# 风控参数
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DRY_RUN = os.getenv("DRY_RUN", "true").lower() == "true" # 默认测试模式
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MAX_POSITIONS = 2 # 最大同时持仓数
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# 资金配置（根据总资产动态计算）
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CAPITAL_ALLOCATION_PCT = 0.95 # 用总资产的95%玩这个策略（留5%缓冲给手续费和滑点）
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MIN_POSITION_USDT = 50 # 单次最小下单金额（避免过小）
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MIN_VOLUME_24H = 1_000_000 # 最小24h成交额 ($)
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MIN_PRICE_CHANGE_24H = 0.05 # 最小涨幅 5%
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MAX_PRICE = 1.0 # 只玩低价币（meme特征）
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STOP_LOSS_PCT = -0.07 # 止损 -7%
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TAKE_PROFIT_1_PCT = 0.15 # 止盈1 +15%
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TAKE_PROFIT_2_PCT = 0.30 # 止盈2 +30%
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BLACKLIST = {"USDC", "BUSD", "TUSD", "FDUSD", "USTC", "PAXG", "XRP", "ETH", "BTC"}
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# ============== 工具函数 ==============
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def log(msg: str):
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print(f"[{datetime.now(CST).strftime('%Y-%m-%d %H:%M:%S')} CST] {msg}")
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def load_positions() -> list:
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if POSITIONS_FILE.exists():
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return json.loads(POSITIONS_FILE.read_text(encoding="utf-8")).get("positions", [])
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return []
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def save_positions(positions: list):
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COINS_DIR.mkdir(parents=True, exist_ok=True)
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POSITIONS_FILE.write_text(json.dumps({"positions": positions}, indent=2, ensure_ascii=False), encoding="utf-8")
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def load_env():
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load_env_file(PATHS)
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def calculate_position_size(total_usdt: float, available_usdt: float, open_slots: int) -> float:
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"""
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根据总资产动态计算每次下单金额。
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逻辑：先确定策略总上限，再按剩余开仓位均分。
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"""
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strategy_cap = total_usdt * CAPITAL_ALLOCATION_PCT
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# 已用于策略的资金约等于总上限 − 可用余额
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used_in_strategy = max(0, strategy_cap - available_usdt)
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remaining_strategy_cap = max(0, strategy_cap - used_in_strategy)
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if open_slots <= 0 or remaining_strategy_cap < MIN_POSITION_USDT:
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return 0
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size = remaining_strategy_cap / open_slots
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# 同时不能超过当前可用余额
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size = min(size, available_usdt)
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# 四舍五入到整数
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size = max(0, round(size, 2))
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return size if size >= MIN_POSITION_USDT else 0
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# ============== 币安客户端 ==============
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class BinanceTrader:
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def __init__(self):
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api_key = os.getenv("BINANCE_API_KEY")
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secret = os.getenv("BINANCE_API_SECRET")
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if not api_key or not secret:
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raise RuntimeError("缺少 BINANCE_API_KEY 或 BINANCE_API_SECRET，请配置 ~/.hermes/.env")
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self.exchange = ccxt.binance({
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"apiKey": api_key,
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"secret": secret,
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"options": {"defaultType": "spot"},
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"enableRateLimit": True,
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})
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self.exchange.load_markets()
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def get_balance(self, asset: str = "USDT") -> float:
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bal = self.exchange.fetch_balance()["free"].get(asset, 0)
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return float(bal)
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def fetch_tickers(self) -> dict:
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return self.exchange.fetch_tickers()
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def create_market_buy_order(self, symbol: str, amount_usdt: float):
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if DRY_RUN:
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log(f"[DRY RUN] 模拟买入 {symbol}，金额 ${amount_usdt}")
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return {"id": "dry-run-buy", "price": None, "amount": amount_usdt}
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ticker = self.exchange.fetch_ticker(symbol)
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price = float(ticker["last"])
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qty = amount_usdt / price
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order = self.exchange.create_market_buy_order(symbol, qty)
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log(f"✅ 买入 {symbol} | 数量 {qty:.4f} | 价格 ~${price}")
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return order
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def create_market_sell_order(self, symbol: str, qty: float):
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if DRY_RUN:
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log(f"[DRY RUN] 模拟卖出 {symbol}，数量 {qty}")
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return {"id": "dry-run-sell"}
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order = self.exchange.create_market_sell_order(symbol, qty)
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log(f"✅ 卖出 {symbol} | 数量 {qty:.4f}")
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return order
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# ============== 选币引擎 ==============
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class CoinPicker:
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def __init__(self, exchange: ccxt.binance):
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self.exchange = exchange
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def scan(self) -> list:
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tickers = self.exchange.fetch_tickers()
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candidates = []
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for symbol, t in tickers.items():
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if not symbol.endswith("/USDT"):
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continue
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base = symbol.replace("/USDT", "")
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if base in BLACKLIST:
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continue
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price = float(t["last"] or 0)
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change = float(t.get("percentage", 0)) / 100
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volume = float(t.get("quoteVolume", 0))
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if price <= 0 or price > MAX_PRICE:
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continue
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if volume < MIN_VOLUME_24H:
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continue
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if change < MIN_PRICE_CHANGE_24H:
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continue
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score = change * (volume / MIN_VOLUME_24H)
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candidates.append({
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"symbol": symbol,
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"base": base,
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"price": price,
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"change_24h": change,
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"volume_24h": volume,
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"score": score,
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})
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candidates.sort(key=lambda x: x["score"], reverse=True)
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return candidates[:5]
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# ============== 主控制器 ==============
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def run_cycle():
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load_env()
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trader = BinanceTrader()
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picker = CoinPicker(trader.exchange)
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positions = load_positions()
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log(f"当前持仓数: {len(positions)} | 最大允许: {MAX_POSITIONS} | DRY_RUN={DRY_RUN}")
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# 1. 检查现有持仓（止盈止损）
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tickers = trader.fetch_tickers()
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new_positions = []
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for pos in positions:
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sym = pos["symbol"]
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qty = float(pos["quantity"])
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cost = float(pos["avg_cost"])
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# ccxt tickers 使用 slash 格式，如 PENGU/USDT
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sym_ccxt = sym.replace("USDT", "/USDT") if "/" not in sym else sym
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ticker = tickers.get(sym_ccxt)
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if not ticker:
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new_positions.append(pos)
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continue
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price = float(ticker["last"])
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pnl_pct = (price - cost) / cost
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log(f"监控 {sym} | 现价 ${price:.8f} | 成本 ${cost:.8f} | 盈亏 {pnl_pct:+.2%}")
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action = None
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if pnl_pct <= STOP_LOSS_PCT:
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action = "STOP_LOSS"
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elif pnl_pct >= TAKE_PROFIT_2_PCT:
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action = "TAKE_PROFIT_2"
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elif pnl_pct >= TAKE_PROFIT_1_PCT:
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# 检查是否已经止盈过一部分
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sold_pct = float(pos.get("take_profit_1_sold_pct", 0))
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if sold_pct == 0:
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action = "TAKE_PROFIT_1"
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if action == "STOP_LOSS":
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trader.create_market_sell_order(sym, qty)
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log(f"🛑 {sym} 触发止损，全部清仓")
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continue
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if action == "TAKE_PROFIT_1":
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sell_qty = qty * 0.5
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trader.create_market_sell_order(sym, sell_qty)
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pos["quantity"] = qty - sell_qty
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pos["take_profit_1_sold_pct"] = 50
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pos["updated_at"] = datetime.now(CST).isoformat()
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log(f"🎯 {sym} 触发止盈1，卖出50%，剩余 {pos['quantity']:.4f}")
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new_positions.append(pos)
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continue
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if action == "TAKE_PROFIT_2":
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trader.create_market_sell_order(sym, float(pos["quantity"]))
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log(f"🚀 {sym} 触发止盈2，全部清仓")
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continue
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new_positions.append(pos)
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# 2. 开新仓
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if len(new_positions) < MAX_POSITIONS:
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candidates = picker.scan()
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held_bases = {p["base_asset"] for p in new_positions}
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total_usdt = trader.get_balance("USDT")
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# 计算持仓市值并加入总资产
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for pos in new_positions:
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sym_ccxt = pos["symbol"].replace("USDT", "/USDT") if "/" not in pos["symbol"] else pos["symbol"]
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ticker = tickers.get(sym_ccxt)
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if ticker:
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total_usdt += float(pos["quantity"]) * float(ticker["last"])
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available_usdt = trader.get_balance("USDT")
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open_slots = MAX_POSITIONS - len(new_positions)
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position_size = calculate_position_size(total_usdt, available_usdt, open_slots)
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log(f"总资产 USDT: ${total_usdt:.2f} | 策略上限({CAPITAL_ALLOCATION_PCT:.0%}): ${total_usdt*CAPITAL_ALLOCATION_PCT:.2f} | 每仓建议金额: ${position_size:.2f}")
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for cand in candidates:
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if len(new_positions) >= MAX_POSITIONS:
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break
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base = cand["base"]
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if base in held_bases:
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continue
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if position_size <= 0:
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log("策略资金已用完或余额不足，停止开新仓")
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break
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symbol = cand["symbol"]
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order = trader.create_market_buy_order(symbol, position_size)
|
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avg_price = float(order.get("price") or cand["price"])
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qty = position_size / avg_price if avg_price else 0
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new_positions.append({
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|
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"account_id": "binance-main",
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"symbol": symbol.replace("/", ""),
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"base_asset": base,
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"quote_asset": "USDT",
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"market_type": "spot",
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"quantity": qty,
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"avg_cost": avg_price,
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"opened_at": datetime.now(CST).isoformat(),
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|
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"updated_at": datetime.now(CST).isoformat(),
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||||||
"note": "Auto-trader entry",
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|
||||||
})
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held_bases.add(base)
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available_usdt -= position_size
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position_size = calculate_position_size(total_usdt, available_usdt, MAX_POSITIONS - len(new_positions))
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log(f"📈 新开仓 {symbol} | 买入价 ${avg_price:.8f} | 数量 {qty:.2f}")
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save_positions(new_positions)
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log("周期结束，持仓已保存")
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||||||
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||||||
|
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||||||
if __name__ == "__main__":
|
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||||||
try:
|
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||||||
run_cycle()
|
|
||||||
except Exception as e:
|
|
||||||
log(f"❌ 错误: {e}")
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||||||
sys.exit(1)
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|
||||||
@@ -1,26 +1,8 @@
|
|||||||
#!/usr/bin/env python3
|
"""Backward-compatible facade for check_api."""
|
||||||
"""检查自动交易的环境配置是否就绪"""
|
|
||||||
import os
|
|
||||||
|
|
||||||
from .runtime import load_env_file
|
from __future__ import annotations
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
load_env_file()
|
|
||||||
|
|
||||||
api_key = os.getenv("BINANCE_API_KEY", "")
|
|
||||||
secret = os.getenv("BINANCE_API_SECRET", "")
|
|
||||||
|
|
||||||
if not api_key or api_key.startswith("***") or api_key.startswith("your_"):
|
|
||||||
print("❌ 未配置 BINANCE_API_KEY")
|
|
||||||
return 1
|
|
||||||
if not secret or secret.startswith("***") or secret.startswith("your_"):
|
|
||||||
print("❌ 未配置 BINANCE_API_SECRET")
|
|
||||||
return 1
|
|
||||||
|
|
||||||
print("✅ API 配置正常")
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
from .commands.check_api import main
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
raise SystemExit(main())
|
raise SystemExit(main())
|
||||||
|
|||||||
@@ -9,18 +9,17 @@ import sys
|
|||||||
from . import __version__
|
from . import __version__
|
||||||
|
|
||||||
MODULE_MAP = {
|
MODULE_MAP = {
|
||||||
"check-api": "check_api",
|
"check-api": "commands.check_api",
|
||||||
"doctor": "doctor",
|
"doctor": "commands.doctor",
|
||||||
"external-gate": "external_gate",
|
"external-gate": "commands.external_gate",
|
||||||
"init": "init_user_state",
|
"init": "commands.init_user_state",
|
||||||
"market-probe": "market_probe",
|
"market-probe": "commands.market_probe",
|
||||||
"paths": "paths",
|
"paths": "commands.paths",
|
||||||
"precheck": "commands.precheck",
|
"precheck": "commands.precheck",
|
||||||
"review-context": "review_context",
|
"review-context": "review_context",
|
||||||
"review-engine": "review_engine",
|
"review-engine": "review_engine",
|
||||||
"rotate-external-gate-log": "rotate_external_gate_log",
|
"rotate-external-gate-log": "commands.rotate_external_gate_log",
|
||||||
"smart-executor": "commands.smart_executor",
|
"smart-executor": "commands.smart_executor",
|
||||||
"auto-trader": "auto_trader",
|
|
||||||
}
|
}
|
||||||
|
|
||||||
ALIASES = {
|
ALIASES = {
|
||||||
@@ -47,7 +46,6 @@ COMMAND_HELP = [
|
|||||||
("recap", "review-engine", "Generate review recap/engine output"),
|
("recap", "review-engine", "Generate review recap/engine output"),
|
||||||
("rotate-gate-log, rotate-log", "rotate-external-gate-log", "Rotate external gate logs"),
|
("rotate-gate-log, rotate-log", "rotate-external-gate-log", "Rotate external gate logs"),
|
||||||
("exec", "smart-executor", "Trading and execution actions"),
|
("exec", "smart-executor", "Trading and execution actions"),
|
||||||
("auto-trader", None, "Auto trader entrypoint"),
|
|
||||||
]
|
]
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
26
src/coinhunter/commands/check_api.py
Executable file
26
src/coinhunter/commands/check_api.py
Executable file
@@ -0,0 +1,26 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""检查自动交易的环境配置是否就绪"""
|
||||||
|
import os
|
||||||
|
|
||||||
|
from ..runtime import load_env_file
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
load_env_file()
|
||||||
|
|
||||||
|
api_key = os.getenv("BINANCE_API_KEY", "")
|
||||||
|
secret = os.getenv("BINANCE_API_SECRET", "")
|
||||||
|
|
||||||
|
if not api_key or api_key.startswith("***") or api_key.startswith("your_"):
|
||||||
|
print("❌ 未配置 BINANCE_API_KEY")
|
||||||
|
return 1
|
||||||
|
if not secret or secret.startswith("***") or secret.startswith("your_"):
|
||||||
|
print("❌ 未配置 BINANCE_API_SECRET")
|
||||||
|
return 1
|
||||||
|
|
||||||
|
print("✅ API 配置正常")
|
||||||
|
return 0
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
66
src/coinhunter/commands/doctor.py
Normal file
66
src/coinhunter/commands/doctor.py
Normal file
@@ -0,0 +1,66 @@
|
|||||||
|
"""Runtime diagnostics for CoinHunter CLI."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
import os
|
||||||
|
import platform
|
||||||
|
import shutil
|
||||||
|
import sys
|
||||||
|
|
||||||
|
from ..runtime import ensure_runtime_dirs, get_runtime_paths, load_env_file, resolve_hermes_executable
|
||||||
|
|
||||||
|
|
||||||
|
REQUIRED_ENV_VARS = ["BINANCE_API_KEY", "BINANCE_API_SECRET"]
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> int:
|
||||||
|
paths = ensure_runtime_dirs(get_runtime_paths())
|
||||||
|
env_file = load_env_file(paths)
|
||||||
|
hermes_executable = resolve_hermes_executable(paths)
|
||||||
|
|
||||||
|
env_checks = {}
|
||||||
|
missing_env = []
|
||||||
|
for name in REQUIRED_ENV_VARS:
|
||||||
|
present = bool(os.getenv(name))
|
||||||
|
env_checks[name] = present
|
||||||
|
if not present:
|
||||||
|
missing_env.append(name)
|
||||||
|
|
||||||
|
file_checks = {
|
||||||
|
"env_file_exists": env_file.exists(),
|
||||||
|
"config_exists": paths.config_file.exists(),
|
||||||
|
"positions_exists": paths.positions_file.exists(),
|
||||||
|
"logrotate_config_exists": paths.logrotate_config.exists(),
|
||||||
|
}
|
||||||
|
dir_checks = {
|
||||||
|
"root_exists": paths.root.exists(),
|
||||||
|
"state_dir_exists": paths.state_dir.exists(),
|
||||||
|
"logs_dir_exists": paths.logs_dir.exists(),
|
||||||
|
"reviews_dir_exists": paths.reviews_dir.exists(),
|
||||||
|
"cache_dir_exists": paths.cache_dir.exists(),
|
||||||
|
}
|
||||||
|
command_checks = {
|
||||||
|
"hermes": bool(shutil.which("hermes") or paths.hermes_bin.exists()),
|
||||||
|
"logrotate": bool(shutil.which("logrotate") or shutil.which("/usr/sbin/logrotate")),
|
||||||
|
}
|
||||||
|
|
||||||
|
report = {
|
||||||
|
"ok": not missing_env,
|
||||||
|
"python": sys.version.split()[0],
|
||||||
|
"platform": platform.platform(),
|
||||||
|
"env_file": str(env_file),
|
||||||
|
"hermes_executable": hermes_executable,
|
||||||
|
"paths": paths.as_dict(),
|
||||||
|
"env_checks": env_checks,
|
||||||
|
"missing_env": missing_env,
|
||||||
|
"file_checks": file_checks,
|
||||||
|
"dir_checks": dir_checks,
|
||||||
|
"command_checks": command_checks,
|
||||||
|
}
|
||||||
|
print(json.dumps(report, ensure_ascii=False, indent=2))
|
||||||
|
return 0 if report["ok"] else 1
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
82
src/coinhunter/commands/external_gate.py
Executable file
82
src/coinhunter/commands/external_gate.py
Executable file
@@ -0,0 +1,82 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
import fcntl
|
||||||
|
import json
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
from datetime import datetime, timezone
|
||||||
|
|
||||||
|
from ..runtime import ensure_runtime_dirs, get_runtime_paths, resolve_hermes_executable
|
||||||
|
|
||||||
|
PATHS = get_runtime_paths()
|
||||||
|
STATE_DIR = PATHS.state_dir
|
||||||
|
LOCK_FILE = PATHS.external_gate_lock
|
||||||
|
COINHUNTER_MODULE = [sys.executable, "-m", "coinhunter"]
|
||||||
|
TRADE_JOB_ID = "4e6593fff158"
|
||||||
|
|
||||||
|
|
||||||
|
def utc_now():
|
||||||
|
return datetime.now(timezone.utc).isoformat()
|
||||||
|
|
||||||
|
|
||||||
|
def log(message: str):
|
||||||
|
print(f"[{utc_now()}] {message}")
|
||||||
|
|
||||||
|
|
||||||
|
def run_cmd(args: list[str]) -> subprocess.CompletedProcess:
|
||||||
|
return subprocess.run(args, capture_output=True, text=True)
|
||||||
|
|
||||||
|
|
||||||
|
def parse_json_output(text: str) -> dict:
|
||||||
|
text = (text or "").strip()
|
||||||
|
if not text:
|
||||||
|
return {}
|
||||||
|
return json.loads(text)
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
ensure_runtime_dirs(PATHS)
|
||||||
|
with open(LOCK_FILE, "w", encoding="utf-8") as lockf:
|
||||||
|
try:
|
||||||
|
fcntl.flock(lockf.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB)
|
||||||
|
except BlockingIOError:
|
||||||
|
log("gate already running; skip")
|
||||||
|
return 0
|
||||||
|
|
||||||
|
precheck = run_cmd(COINHUNTER_MODULE + ["precheck"])
|
||||||
|
if precheck.returncode != 0:
|
||||||
|
log(f"precheck returned non-zero ({precheck.returncode}); stdout={precheck.stdout.strip()} stderr={precheck.stderr.strip()}")
|
||||||
|
return 1
|
||||||
|
|
||||||
|
try:
|
||||||
|
data = parse_json_output(precheck.stdout)
|
||||||
|
except Exception as e:
|
||||||
|
log(f"failed to parse precheck JSON: {e}; raw={precheck.stdout.strip()[:1000]}")
|
||||||
|
return 1
|
||||||
|
|
||||||
|
if not data.get("should_analyze"):
|
||||||
|
log("no trigger; skip model run")
|
||||||
|
return 0
|
||||||
|
|
||||||
|
if data.get("run_requested"):
|
||||||
|
log(f"trigger already queued at {data.get('run_requested_at')}; skip duplicate")
|
||||||
|
return 0
|
||||||
|
|
||||||
|
mark = run_cmd(COINHUNTER_MODULE + ["precheck", "--mark-run-requested", "external-gate queued cron run"])
|
||||||
|
if mark.returncode != 0:
|
||||||
|
log(f"failed to mark run requested; stdout={mark.stdout.strip()} stderr={mark.stderr.strip()}")
|
||||||
|
return 1
|
||||||
|
|
||||||
|
trigger = run_cmd([resolve_hermes_executable(PATHS), "cron", "run", TRADE_JOB_ID])
|
||||||
|
if trigger.returncode != 0:
|
||||||
|
log(f"failed to trigger trade cron job; stdout={trigger.stdout.strip()} stderr={trigger.stderr.strip()}")
|
||||||
|
return 1
|
||||||
|
|
||||||
|
reasons = ", ".join(data.get("reasons", [])) or "unknown"
|
||||||
|
log(f"queued trade job {TRADE_JOB_ID}; reasons={reasons}")
|
||||||
|
if trigger.stdout.strip():
|
||||||
|
log(trigger.stdout.strip())
|
||||||
|
return 0
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
65
src/coinhunter/commands/init_user_state.py
Executable file
65
src/coinhunter/commands/init_user_state.py
Executable file
@@ -0,0 +1,65 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
import json
|
||||||
|
from datetime import datetime, timezone
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
from ..runtime import ensure_runtime_dirs, get_runtime_paths
|
||||||
|
|
||||||
|
PATHS = get_runtime_paths()
|
||||||
|
ROOT = PATHS.root
|
||||||
|
CACHE_DIR = PATHS.cache_dir
|
||||||
|
|
||||||
|
|
||||||
|
def now_iso():
|
||||||
|
return datetime.now(timezone.utc).replace(microsecond=0).isoformat()
|
||||||
|
|
||||||
|
|
||||||
|
def ensure_file(path: Path, payload: dict):
|
||||||
|
if path.exists():
|
||||||
|
return False
|
||||||
|
path.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
ensure_runtime_dirs(PATHS)
|
||||||
|
|
||||||
|
created = []
|
||||||
|
ts = now_iso()
|
||||||
|
|
||||||
|
templates = {
|
||||||
|
ROOT / "config.json": {
|
||||||
|
"default_exchange": "bybit",
|
||||||
|
"default_quote_currency": "USDT",
|
||||||
|
"timezone": "Asia/Shanghai",
|
||||||
|
"preferred_chains": ["solana", "base"],
|
||||||
|
"created_at": ts,
|
||||||
|
"updated_at": ts,
|
||||||
|
},
|
||||||
|
ROOT / "accounts.json": {
|
||||||
|
"accounts": []
|
||||||
|
},
|
||||||
|
ROOT / "positions.json": {
|
||||||
|
"positions": []
|
||||||
|
},
|
||||||
|
ROOT / "watchlist.json": {
|
||||||
|
"watchlist": []
|
||||||
|
},
|
||||||
|
ROOT / "notes.json": {
|
||||||
|
"notes": []
|
||||||
|
},
|
||||||
|
}
|
||||||
|
|
||||||
|
for path, payload in templates.items():
|
||||||
|
if ensure_file(path, payload):
|
||||||
|
created.append(str(path))
|
||||||
|
|
||||||
|
print(json.dumps({
|
||||||
|
"root": str(ROOT),
|
||||||
|
"created": created,
|
||||||
|
"cache_dir": str(CACHE_DIR),
|
||||||
|
}, ensure_ascii=False, indent=2))
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
243
src/coinhunter/commands/market_probe.py
Executable file
243
src/coinhunter/commands/market_probe.py
Executable file
@@ -0,0 +1,243 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
import argparse
|
||||||
|
import json
|
||||||
|
import os
|
||||||
|
import sys
|
||||||
|
import urllib.parse
|
||||||
|
import urllib.request
|
||||||
|
|
||||||
|
DEFAULT_TIMEOUT = 20
|
||||||
|
|
||||||
|
|
||||||
|
def fetch_json(url, headers=None, timeout=DEFAULT_TIMEOUT):
|
||||||
|
merged_headers = {
|
||||||
|
"Accept": "application/json",
|
||||||
|
"User-Agent": "Mozilla/5.0 (compatible; OpenClaw Coin Hunter/1.0)",
|
||||||
|
}
|
||||||
|
if headers:
|
||||||
|
merged_headers.update(headers)
|
||||||
|
req = urllib.request.Request(url, headers=merged_headers)
|
||||||
|
with urllib.request.urlopen(req, timeout=timeout) as resp:
|
||||||
|
data = resp.read()
|
||||||
|
return json.loads(data.decode("utf-8"))
|
||||||
|
|
||||||
|
|
||||||
|
def print_json(data):
|
||||||
|
print(json.dumps(data, ensure_ascii=False, indent=2))
|
||||||
|
|
||||||
|
|
||||||
|
def bybit_ticker(symbol: str):
|
||||||
|
url = (
|
||||||
|
"https://api.bybit.com/v5/market/tickers?category=spot&symbol="
|
||||||
|
+ urllib.parse.quote(symbol.upper())
|
||||||
|
)
|
||||||
|
payload = fetch_json(url)
|
||||||
|
items = payload.get("result", {}).get("list", [])
|
||||||
|
if not items:
|
||||||
|
raise SystemExit(f"No Bybit spot ticker found for {symbol}")
|
||||||
|
item = items[0]
|
||||||
|
out = {
|
||||||
|
"provider": "bybit",
|
||||||
|
"symbol": symbol.upper(),
|
||||||
|
"lastPrice": item.get("lastPrice"),
|
||||||
|
"price24hPcnt": item.get("price24hPcnt"),
|
||||||
|
"highPrice24h": item.get("highPrice24h"),
|
||||||
|
"lowPrice24h": item.get("lowPrice24h"),
|
||||||
|
"turnover24h": item.get("turnover24h"),
|
||||||
|
"volume24h": item.get("volume24h"),
|
||||||
|
"bid1Price": item.get("bid1Price"),
|
||||||
|
"ask1Price": item.get("ask1Price"),
|
||||||
|
}
|
||||||
|
print_json(out)
|
||||||
|
|
||||||
|
|
||||||
|
def bybit_klines(symbol: str, interval: str, limit: int):
|
||||||
|
params = urllib.parse.urlencode({
|
||||||
|
"category": "spot",
|
||||||
|
"symbol": symbol.upper(),
|
||||||
|
"interval": interval,
|
||||||
|
"limit": str(limit),
|
||||||
|
})
|
||||||
|
url = f"https://api.bybit.com/v5/market/kline?{params}"
|
||||||
|
payload = fetch_json(url)
|
||||||
|
rows = payload.get("result", {}).get("list", [])
|
||||||
|
out = {
|
||||||
|
"provider": "bybit",
|
||||||
|
"symbol": symbol.upper(),
|
||||||
|
"interval": interval,
|
||||||
|
"candles": [
|
||||||
|
{
|
||||||
|
"startTime": r[0],
|
||||||
|
"open": r[1],
|
||||||
|
"high": r[2],
|
||||||
|
"low": r[3],
|
||||||
|
"close": r[4],
|
||||||
|
"volume": r[5],
|
||||||
|
"turnover": r[6],
|
||||||
|
}
|
||||||
|
for r in rows
|
||||||
|
],
|
||||||
|
}
|
||||||
|
print_json(out)
|
||||||
|
|
||||||
|
|
||||||
|
def dexscreener_search(query: str):
|
||||||
|
url = "https://api.dexscreener.com/latest/dex/search/?q=" + urllib.parse.quote(query)
|
||||||
|
payload = fetch_json(url)
|
||||||
|
pairs = payload.get("pairs") or []
|
||||||
|
out = []
|
||||||
|
for p in pairs[:10]:
|
||||||
|
out.append({
|
||||||
|
"chainId": p.get("chainId"),
|
||||||
|
"dexId": p.get("dexId"),
|
||||||
|
"pairAddress": p.get("pairAddress"),
|
||||||
|
"url": p.get("url"),
|
||||||
|
"baseToken": p.get("baseToken"),
|
||||||
|
"quoteToken": p.get("quoteToken"),
|
||||||
|
"priceUsd": p.get("priceUsd"),
|
||||||
|
"liquidityUsd": (p.get("liquidity") or {}).get("usd"),
|
||||||
|
"fdv": p.get("fdv"),
|
||||||
|
"marketCap": p.get("marketCap"),
|
||||||
|
"volume24h": (p.get("volume") or {}).get("h24"),
|
||||||
|
"buys24h": ((p.get("txns") or {}).get("h24") or {}).get("buys"),
|
||||||
|
"sells24h": ((p.get("txns") or {}).get("h24") or {}).get("sells"),
|
||||||
|
})
|
||||||
|
print_json({"provider": "dexscreener", "query": query, "pairs": out})
|
||||||
|
|
||||||
|
|
||||||
|
def dexscreener_token(chain: str, address: str):
|
||||||
|
url = f"https://api.dexscreener.com/tokens/v1/{urllib.parse.quote(chain)}/{urllib.parse.quote(address)}"
|
||||||
|
payload = fetch_json(url)
|
||||||
|
pairs = payload if isinstance(payload, list) else payload.get("pairs") or []
|
||||||
|
out = []
|
||||||
|
for p in pairs[:10]:
|
||||||
|
out.append({
|
||||||
|
"chainId": p.get("chainId"),
|
||||||
|
"dexId": p.get("dexId"),
|
||||||
|
"pairAddress": p.get("pairAddress"),
|
||||||
|
"baseToken": p.get("baseToken"),
|
||||||
|
"quoteToken": p.get("quoteToken"),
|
||||||
|
"priceUsd": p.get("priceUsd"),
|
||||||
|
"liquidityUsd": (p.get("liquidity") or {}).get("usd"),
|
||||||
|
"fdv": p.get("fdv"),
|
||||||
|
"marketCap": p.get("marketCap"),
|
||||||
|
"volume24h": (p.get("volume") or {}).get("h24"),
|
||||||
|
})
|
||||||
|
print_json({"provider": "dexscreener", "chain": chain, "address": address, "pairs": out})
|
||||||
|
|
||||||
|
|
||||||
|
def coingecko_search(query: str):
|
||||||
|
url = "https://api.coingecko.com/api/v3/search?query=" + urllib.parse.quote(query)
|
||||||
|
payload = fetch_json(url)
|
||||||
|
coins = payload.get("coins") or []
|
||||||
|
out = []
|
||||||
|
for c in coins[:10]:
|
||||||
|
out.append({
|
||||||
|
"id": c.get("id"),
|
||||||
|
"name": c.get("name"),
|
||||||
|
"symbol": c.get("symbol"),
|
||||||
|
"marketCapRank": c.get("market_cap_rank"),
|
||||||
|
"thumb": c.get("thumb"),
|
||||||
|
})
|
||||||
|
print_json({"provider": "coingecko", "query": query, "coins": out})
|
||||||
|
|
||||||
|
|
||||||
|
def coingecko_coin(coin_id: str):
|
||||||
|
params = urllib.parse.urlencode({
|
||||||
|
"localization": "false",
|
||||||
|
"tickers": "false",
|
||||||
|
"market_data": "true",
|
||||||
|
"community_data": "false",
|
||||||
|
"developer_data": "false",
|
||||||
|
"sparkline": "false",
|
||||||
|
})
|
||||||
|
url = f"https://api.coingecko.com/api/v3/coins/{urllib.parse.quote(coin_id)}?{params}"
|
||||||
|
payload = fetch_json(url)
|
||||||
|
md = payload.get("market_data") or {}
|
||||||
|
out = {
|
||||||
|
"provider": "coingecko",
|
||||||
|
"id": payload.get("id"),
|
||||||
|
"symbol": payload.get("symbol"),
|
||||||
|
"name": payload.get("name"),
|
||||||
|
"marketCapRank": payload.get("market_cap_rank"),
|
||||||
|
"currentPriceUsd": (md.get("current_price") or {}).get("usd"),
|
||||||
|
"marketCapUsd": (md.get("market_cap") or {}).get("usd"),
|
||||||
|
"fullyDilutedValuationUsd": (md.get("fully_diluted_valuation") or {}).get("usd"),
|
||||||
|
"totalVolumeUsd": (md.get("total_volume") or {}).get("usd"),
|
||||||
|
"priceChangePercentage24h": md.get("price_change_percentage_24h"),
|
||||||
|
"priceChangePercentage7d": md.get("price_change_percentage_7d"),
|
||||||
|
"priceChangePercentage30d": md.get("price_change_percentage_30d"),
|
||||||
|
"circulatingSupply": md.get("circulating_supply"),
|
||||||
|
"totalSupply": md.get("total_supply"),
|
||||||
|
"maxSupply": md.get("max_supply"),
|
||||||
|
"homepage": (payload.get("links") or {}).get("homepage", [None])[0],
|
||||||
|
}
|
||||||
|
print_json(out)
|
||||||
|
|
||||||
|
|
||||||
|
def birdeye_token(address: str):
|
||||||
|
api_key = os.getenv("BIRDEYE_API_KEY") or os.getenv("BIRDEYE_APIKEY")
|
||||||
|
if not api_key:
|
||||||
|
raise SystemExit("Birdeye requires BIRDEYE_API_KEY in the environment")
|
||||||
|
url = "https://public-api.birdeye.so/defi/token_overview?address=" + urllib.parse.quote(address)
|
||||||
|
payload = fetch_json(url, headers={
|
||||||
|
"x-api-key": api_key,
|
||||||
|
"x-chain": "solana",
|
||||||
|
})
|
||||||
|
print_json({"provider": "birdeye", "address": address, "data": payload.get("data")})
|
||||||
|
|
||||||
|
|
||||||
|
def build_parser():
|
||||||
|
parser = argparse.ArgumentParser(description="Coin Hunter market data probe")
|
||||||
|
sub = parser.add_subparsers(dest="command", required=True)
|
||||||
|
|
||||||
|
p = sub.add_parser("bybit-ticker", help="Fetch Bybit spot ticker")
|
||||||
|
p.add_argument("symbol")
|
||||||
|
|
||||||
|
p = sub.add_parser("bybit-klines", help="Fetch Bybit spot klines")
|
||||||
|
p.add_argument("symbol")
|
||||||
|
p.add_argument("--interval", default="60", help="Bybit interval, e.g. 1, 5, 15, 60, 240, D")
|
||||||
|
p.add_argument("--limit", type=int, default=10)
|
||||||
|
|
||||||
|
p = sub.add_parser("dex-search", help="Search DexScreener by query")
|
||||||
|
p.add_argument("query")
|
||||||
|
|
||||||
|
p = sub.add_parser("dex-token", help="Fetch DexScreener token pairs by chain/address")
|
||||||
|
p.add_argument("chain")
|
||||||
|
p.add_argument("address")
|
||||||
|
|
||||||
|
p = sub.add_parser("gecko-search", help="Search CoinGecko")
|
||||||
|
p.add_argument("query")
|
||||||
|
|
||||||
|
p = sub.add_parser("gecko-coin", help="Fetch CoinGecko coin by id")
|
||||||
|
p.add_argument("coin_id")
|
||||||
|
|
||||||
|
p = sub.add_parser("birdeye-token", help="Fetch Birdeye token overview (Solana)")
|
||||||
|
p.add_argument("address")
|
||||||
|
|
||||||
|
return parser
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
parser = build_parser()
|
||||||
|
args = parser.parse_args()
|
||||||
|
if args.command == "bybit-ticker":
|
||||||
|
bybit_ticker(args.symbol)
|
||||||
|
elif args.command == "bybit-klines":
|
||||||
|
bybit_klines(args.symbol, args.interval, args.limit)
|
||||||
|
elif args.command == "dex-search":
|
||||||
|
dexscreener_search(args.query)
|
||||||
|
elif args.command == "dex-token":
|
||||||
|
dexscreener_token(args.chain, args.address)
|
||||||
|
elif args.command == "gecko-search":
|
||||||
|
coingecko_search(args.query)
|
||||||
|
elif args.command == "gecko-coin":
|
||||||
|
coingecko_coin(args.coin_id)
|
||||||
|
elif args.command == "birdeye-token":
|
||||||
|
birdeye_token(args.address)
|
||||||
|
else:
|
||||||
|
parser.error("Unknown command")
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
16
src/coinhunter/commands/paths.py
Normal file
16
src/coinhunter/commands/paths.py
Normal file
@@ -0,0 +1,16 @@
|
|||||||
|
"""Print CoinHunter runtime paths."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
|
||||||
|
from ..runtime import get_runtime_paths
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> int:
|
||||||
|
print(json.dumps(get_runtime_paths().as_dict(), ensure_ascii=False, indent=2))
|
||||||
|
return 0
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
28
src/coinhunter/commands/rotate_external_gate_log.py
Executable file
28
src/coinhunter/commands/rotate_external_gate_log.py
Executable file
@@ -0,0 +1,28 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""Rotate external gate log using the user's logrotate config/state."""
|
||||||
|
import shutil
|
||||||
|
import subprocess
|
||||||
|
|
||||||
|
from ..runtime import ensure_runtime_dirs, get_runtime_paths
|
||||||
|
|
||||||
|
PATHS = get_runtime_paths()
|
||||||
|
STATE_DIR = PATHS.state_dir
|
||||||
|
LOGROTATE_STATUS = PATHS.logrotate_status
|
||||||
|
LOGROTATE_CONF = PATHS.logrotate_config
|
||||||
|
LOGS_DIR = PATHS.logs_dir
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
ensure_runtime_dirs(PATHS)
|
||||||
|
logrotate_bin = shutil.which("logrotate") or "/usr/sbin/logrotate"
|
||||||
|
cmd = [logrotate_bin, "-s", str(LOGROTATE_STATUS), str(LOGROTATE_CONF)]
|
||||||
|
result = subprocess.run(cmd, capture_output=True, text=True)
|
||||||
|
if result.stdout.strip():
|
||||||
|
print(result.stdout.strip())
|
||||||
|
if result.stderr.strip():
|
||||||
|
print(result.stderr.strip())
|
||||||
|
return result.returncode
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
@@ -1,66 +1,8 @@
|
|||||||
"""Runtime diagnostics for CoinHunter CLI."""
|
"""Backward-compatible facade for doctor."""
|
||||||
|
|
||||||
from __future__ import annotations
|
from __future__ import annotations
|
||||||
|
|
||||||
import json
|
from .commands.doctor import main
|
||||||
import os
|
|
||||||
import platform
|
|
||||||
import shutil
|
|
||||||
import sys
|
|
||||||
|
|
||||||
from .runtime import ensure_runtime_dirs, get_runtime_paths, load_env_file, resolve_hermes_executable
|
|
||||||
|
|
||||||
|
|
||||||
REQUIRED_ENV_VARS = ["BINANCE_API_KEY", "BINANCE_API_SECRET"]
|
|
||||||
|
|
||||||
|
|
||||||
def main() -> int:
|
|
||||||
paths = ensure_runtime_dirs(get_runtime_paths())
|
|
||||||
env_file = load_env_file(paths)
|
|
||||||
hermes_executable = resolve_hermes_executable(paths)
|
|
||||||
|
|
||||||
env_checks = {}
|
|
||||||
missing_env = []
|
|
||||||
for name in REQUIRED_ENV_VARS:
|
|
||||||
present = bool(os.getenv(name))
|
|
||||||
env_checks[name] = present
|
|
||||||
if not present:
|
|
||||||
missing_env.append(name)
|
|
||||||
|
|
||||||
file_checks = {
|
|
||||||
"env_file_exists": env_file.exists(),
|
|
||||||
"config_exists": paths.config_file.exists(),
|
|
||||||
"positions_exists": paths.positions_file.exists(),
|
|
||||||
"logrotate_config_exists": paths.logrotate_config.exists(),
|
|
||||||
}
|
|
||||||
dir_checks = {
|
|
||||||
"root_exists": paths.root.exists(),
|
|
||||||
"state_dir_exists": paths.state_dir.exists(),
|
|
||||||
"logs_dir_exists": paths.logs_dir.exists(),
|
|
||||||
"reviews_dir_exists": paths.reviews_dir.exists(),
|
|
||||||
"cache_dir_exists": paths.cache_dir.exists(),
|
|
||||||
}
|
|
||||||
command_checks = {
|
|
||||||
"hermes": bool(shutil.which("hermes") or paths.hermes_bin.exists()),
|
|
||||||
"logrotate": bool(shutil.which("logrotate") or shutil.which("/usr/sbin/logrotate")),
|
|
||||||
}
|
|
||||||
|
|
||||||
report = {
|
|
||||||
"ok": not missing_env,
|
|
||||||
"python": sys.version.split()[0],
|
|
||||||
"platform": platform.platform(),
|
|
||||||
"env_file": str(env_file),
|
|
||||||
"hermes_executable": hermes_executable,
|
|
||||||
"paths": paths.as_dict(),
|
|
||||||
"env_checks": env_checks,
|
|
||||||
"missing_env": missing_env,
|
|
||||||
"file_checks": file_checks,
|
|
||||||
"dir_checks": dir_checks,
|
|
||||||
"command_checks": command_checks,
|
|
||||||
}
|
|
||||||
print(json.dumps(report, ensure_ascii=False, indent=2))
|
|
||||||
return 0 if report["ok"] else 1
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
raise SystemExit(main())
|
raise SystemExit(main())
|
||||||
|
|||||||
@@ -1,82 +1,8 @@
|
|||||||
#!/usr/bin/env python3
|
"""Backward-compatible facade for external_gate."""
|
||||||
import fcntl
|
|
||||||
import json
|
|
||||||
import subprocess
|
|
||||||
import sys
|
|
||||||
from datetime import datetime, timezone
|
|
||||||
|
|
||||||
from .runtime import ensure_runtime_dirs, get_runtime_paths, resolve_hermes_executable
|
from __future__ import annotations
|
||||||
|
|
||||||
PATHS = get_runtime_paths()
|
|
||||||
STATE_DIR = PATHS.state_dir
|
|
||||||
LOCK_FILE = PATHS.external_gate_lock
|
|
||||||
COINHUNTER_MODULE = [sys.executable, "-m", "coinhunter"]
|
|
||||||
TRADE_JOB_ID = "4e6593fff158"
|
|
||||||
|
|
||||||
|
|
||||||
def utc_now():
|
|
||||||
return datetime.now(timezone.utc).isoformat()
|
|
||||||
|
|
||||||
|
|
||||||
def log(message: str):
|
|
||||||
print(f"[{utc_now()}] {message}")
|
|
||||||
|
|
||||||
|
|
||||||
def run_cmd(args: list[str]) -> subprocess.CompletedProcess:
|
|
||||||
return subprocess.run(args, capture_output=True, text=True)
|
|
||||||
|
|
||||||
|
|
||||||
def parse_json_output(text: str) -> dict:
|
|
||||||
text = (text or "").strip()
|
|
||||||
if not text:
|
|
||||||
return {}
|
|
||||||
return json.loads(text)
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
ensure_runtime_dirs(PATHS)
|
|
||||||
with open(LOCK_FILE, "w", encoding="utf-8") as lockf:
|
|
||||||
try:
|
|
||||||
fcntl.flock(lockf.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB)
|
|
||||||
except BlockingIOError:
|
|
||||||
log("gate already running; skip")
|
|
||||||
return 0
|
|
||||||
|
|
||||||
precheck = run_cmd(COINHUNTER_MODULE + ["precheck"])
|
|
||||||
if precheck.returncode != 0:
|
|
||||||
log(f"precheck returned non-zero ({precheck.returncode}); stdout={precheck.stdout.strip()} stderr={precheck.stderr.strip()}")
|
|
||||||
return 1
|
|
||||||
|
|
||||||
try:
|
|
||||||
data = parse_json_output(precheck.stdout)
|
|
||||||
except Exception as e:
|
|
||||||
log(f"failed to parse precheck JSON: {e}; raw={precheck.stdout.strip()[:1000]}")
|
|
||||||
return 1
|
|
||||||
|
|
||||||
if not data.get("should_analyze"):
|
|
||||||
log("no trigger; skip model run")
|
|
||||||
return 0
|
|
||||||
|
|
||||||
if data.get("run_requested"):
|
|
||||||
log(f"trigger already queued at {data.get('run_requested_at')}; skip duplicate")
|
|
||||||
return 0
|
|
||||||
|
|
||||||
mark = run_cmd(COINHUNTER_MODULE + ["precheck", "--mark-run-requested", "external-gate queued cron run"])
|
|
||||||
if mark.returncode != 0:
|
|
||||||
log(f"failed to mark run requested; stdout={mark.stdout.strip()} stderr={mark.stderr.strip()}")
|
|
||||||
return 1
|
|
||||||
|
|
||||||
trigger = run_cmd([resolve_hermes_executable(PATHS), "cron", "run", TRADE_JOB_ID])
|
|
||||||
if trigger.returncode != 0:
|
|
||||||
log(f"failed to trigger trade cron job; stdout={trigger.stdout.strip()} stderr={trigger.stderr.strip()}")
|
|
||||||
return 1
|
|
||||||
|
|
||||||
reasons = ", ".join(data.get("reasons", [])) or "unknown"
|
|
||||||
log(f"queued trade job {TRADE_JOB_ID}; reasons={reasons}")
|
|
||||||
if trigger.stdout.strip():
|
|
||||||
log(trigger.stdout.strip())
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
from .commands.external_gate import main
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
raise SystemExit(main())
|
raise SystemExit(main())
|
||||||
|
|||||||
@@ -1,65 +1,8 @@
|
|||||||
#!/usr/bin/env python3
|
"""Backward-compatible facade for init_user_state."""
|
||||||
import json
|
|
||||||
from datetime import datetime, timezone
|
|
||||||
from pathlib import Path
|
|
||||||
|
|
||||||
from .runtime import ensure_runtime_dirs, get_runtime_paths
|
from __future__ import annotations
|
||||||
|
|
||||||
PATHS = get_runtime_paths()
|
|
||||||
ROOT = PATHS.root
|
|
||||||
CACHE_DIR = PATHS.cache_dir
|
|
||||||
|
|
||||||
|
|
||||||
def now_iso():
|
|
||||||
return datetime.now(timezone.utc).replace(microsecond=0).isoformat()
|
|
||||||
|
|
||||||
|
|
||||||
def ensure_file(path: Path, payload: dict):
|
|
||||||
if path.exists():
|
|
||||||
return False
|
|
||||||
path.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
|
|
||||||
return True
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
ensure_runtime_dirs(PATHS)
|
|
||||||
|
|
||||||
created = []
|
|
||||||
ts = now_iso()
|
|
||||||
|
|
||||||
templates = {
|
|
||||||
ROOT / "config.json": {
|
|
||||||
"default_exchange": "bybit",
|
|
||||||
"default_quote_currency": "USDT",
|
|
||||||
"timezone": "Asia/Shanghai",
|
|
||||||
"preferred_chains": ["solana", "base"],
|
|
||||||
"created_at": ts,
|
|
||||||
"updated_at": ts,
|
|
||||||
},
|
|
||||||
ROOT / "accounts.json": {
|
|
||||||
"accounts": []
|
|
||||||
},
|
|
||||||
ROOT / "positions.json": {
|
|
||||||
"positions": []
|
|
||||||
},
|
|
||||||
ROOT / "watchlist.json": {
|
|
||||||
"watchlist": []
|
|
||||||
},
|
|
||||||
ROOT / "notes.json": {
|
|
||||||
"notes": []
|
|
||||||
},
|
|
||||||
}
|
|
||||||
|
|
||||||
for path, payload in templates.items():
|
|
||||||
if ensure_file(path, payload):
|
|
||||||
created.append(str(path))
|
|
||||||
|
|
||||||
print(json.dumps({
|
|
||||||
"root": str(ROOT),
|
|
||||||
"created": created,
|
|
||||||
"cache_dir": str(CACHE_DIR),
|
|
||||||
}, ensure_ascii=False, indent=2))
|
|
||||||
|
|
||||||
|
from .commands.init_user_state import main
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
main()
|
raise SystemExit(main())
|
||||||
|
|||||||
@@ -1,243 +1,8 @@
|
|||||||
#!/usr/bin/env python3
|
"""Backward-compatible facade for market_probe."""
|
||||||
import argparse
|
|
||||||
import json
|
|
||||||
import os
|
|
||||||
import sys
|
|
||||||
import urllib.parse
|
|
||||||
import urllib.request
|
|
||||||
|
|
||||||
DEFAULT_TIMEOUT = 20
|
from __future__ import annotations
|
||||||
|
|
||||||
|
|
||||||
def fetch_json(url, headers=None, timeout=DEFAULT_TIMEOUT):
|
|
||||||
merged_headers = {
|
|
||||||
"Accept": "application/json",
|
|
||||||
"User-Agent": "Mozilla/5.0 (compatible; OpenClaw Coin Hunter/1.0)",
|
|
||||||
}
|
|
||||||
if headers:
|
|
||||||
merged_headers.update(headers)
|
|
||||||
req = urllib.request.Request(url, headers=merged_headers)
|
|
||||||
with urllib.request.urlopen(req, timeout=timeout) as resp:
|
|
||||||
data = resp.read()
|
|
||||||
return json.loads(data.decode("utf-8"))
|
|
||||||
|
|
||||||
|
|
||||||
def print_json(data):
|
|
||||||
print(json.dumps(data, ensure_ascii=False, indent=2))
|
|
||||||
|
|
||||||
|
|
||||||
def bybit_ticker(symbol: str):
|
|
||||||
url = (
|
|
||||||
"https://api.bybit.com/v5/market/tickers?category=spot&symbol="
|
|
||||||
+ urllib.parse.quote(symbol.upper())
|
|
||||||
)
|
|
||||||
payload = fetch_json(url)
|
|
||||||
items = payload.get("result", {}).get("list", [])
|
|
||||||
if not items:
|
|
||||||
raise SystemExit(f"No Bybit spot ticker found for {symbol}")
|
|
||||||
item = items[0]
|
|
||||||
out = {
|
|
||||||
"provider": "bybit",
|
|
||||||
"symbol": symbol.upper(),
|
|
||||||
"lastPrice": item.get("lastPrice"),
|
|
||||||
"price24hPcnt": item.get("price24hPcnt"),
|
|
||||||
"highPrice24h": item.get("highPrice24h"),
|
|
||||||
"lowPrice24h": item.get("lowPrice24h"),
|
|
||||||
"turnover24h": item.get("turnover24h"),
|
|
||||||
"volume24h": item.get("volume24h"),
|
|
||||||
"bid1Price": item.get("bid1Price"),
|
|
||||||
"ask1Price": item.get("ask1Price"),
|
|
||||||
}
|
|
||||||
print_json(out)
|
|
||||||
|
|
||||||
|
|
||||||
def bybit_klines(symbol: str, interval: str, limit: int):
|
|
||||||
params = urllib.parse.urlencode({
|
|
||||||
"category": "spot",
|
|
||||||
"symbol": symbol.upper(),
|
|
||||||
"interval": interval,
|
|
||||||
"limit": str(limit),
|
|
||||||
})
|
|
||||||
url = f"https://api.bybit.com/v5/market/kline?{params}"
|
|
||||||
payload = fetch_json(url)
|
|
||||||
rows = payload.get("result", {}).get("list", [])
|
|
||||||
out = {
|
|
||||||
"provider": "bybit",
|
|
||||||
"symbol": symbol.upper(),
|
|
||||||
"interval": interval,
|
|
||||||
"candles": [
|
|
||||||
{
|
|
||||||
"startTime": r[0],
|
|
||||||
"open": r[1],
|
|
||||||
"high": r[2],
|
|
||||||
"low": r[3],
|
|
||||||
"close": r[4],
|
|
||||||
"volume": r[5],
|
|
||||||
"turnover": r[6],
|
|
||||||
}
|
|
||||||
for r in rows
|
|
||||||
],
|
|
||||||
}
|
|
||||||
print_json(out)
|
|
||||||
|
|
||||||
|
|
||||||
def dexscreener_search(query: str):
|
|
||||||
url = "https://api.dexscreener.com/latest/dex/search/?q=" + urllib.parse.quote(query)
|
|
||||||
payload = fetch_json(url)
|
|
||||||
pairs = payload.get("pairs") or []
|
|
||||||
out = []
|
|
||||||
for p in pairs[:10]:
|
|
||||||
out.append({
|
|
||||||
"chainId": p.get("chainId"),
|
|
||||||
"dexId": p.get("dexId"),
|
|
||||||
"pairAddress": p.get("pairAddress"),
|
|
||||||
"url": p.get("url"),
|
|
||||||
"baseToken": p.get("baseToken"),
|
|
||||||
"quoteToken": p.get("quoteToken"),
|
|
||||||
"priceUsd": p.get("priceUsd"),
|
|
||||||
"liquidityUsd": (p.get("liquidity") or {}).get("usd"),
|
|
||||||
"fdv": p.get("fdv"),
|
|
||||||
"marketCap": p.get("marketCap"),
|
|
||||||
"volume24h": (p.get("volume") or {}).get("h24"),
|
|
||||||
"buys24h": ((p.get("txns") or {}).get("h24") or {}).get("buys"),
|
|
||||||
"sells24h": ((p.get("txns") or {}).get("h24") or {}).get("sells"),
|
|
||||||
})
|
|
||||||
print_json({"provider": "dexscreener", "query": query, "pairs": out})
|
|
||||||
|
|
||||||
|
|
||||||
def dexscreener_token(chain: str, address: str):
|
|
||||||
url = f"https://api.dexscreener.com/tokens/v1/{urllib.parse.quote(chain)}/{urllib.parse.quote(address)}"
|
|
||||||
payload = fetch_json(url)
|
|
||||||
pairs = payload if isinstance(payload, list) else payload.get("pairs") or []
|
|
||||||
out = []
|
|
||||||
for p in pairs[:10]:
|
|
||||||
out.append({
|
|
||||||
"chainId": p.get("chainId"),
|
|
||||||
"dexId": p.get("dexId"),
|
|
||||||
"pairAddress": p.get("pairAddress"),
|
|
||||||
"baseToken": p.get("baseToken"),
|
|
||||||
"quoteToken": p.get("quoteToken"),
|
|
||||||
"priceUsd": p.get("priceUsd"),
|
|
||||||
"liquidityUsd": (p.get("liquidity") or {}).get("usd"),
|
|
||||||
"fdv": p.get("fdv"),
|
|
||||||
"marketCap": p.get("marketCap"),
|
|
||||||
"volume24h": (p.get("volume") or {}).get("h24"),
|
|
||||||
})
|
|
||||||
print_json({"provider": "dexscreener", "chain": chain, "address": address, "pairs": out})
|
|
||||||
|
|
||||||
|
|
||||||
def coingecko_search(query: str):
|
|
||||||
url = "https://api.coingecko.com/api/v3/search?query=" + urllib.parse.quote(query)
|
|
||||||
payload = fetch_json(url)
|
|
||||||
coins = payload.get("coins") or []
|
|
||||||
out = []
|
|
||||||
for c in coins[:10]:
|
|
||||||
out.append({
|
|
||||||
"id": c.get("id"),
|
|
||||||
"name": c.get("name"),
|
|
||||||
"symbol": c.get("symbol"),
|
|
||||||
"marketCapRank": c.get("market_cap_rank"),
|
|
||||||
"thumb": c.get("thumb"),
|
|
||||||
})
|
|
||||||
print_json({"provider": "coingecko", "query": query, "coins": out})
|
|
||||||
|
|
||||||
|
|
||||||
def coingecko_coin(coin_id: str):
|
|
||||||
params = urllib.parse.urlencode({
|
|
||||||
"localization": "false",
|
|
||||||
"tickers": "false",
|
|
||||||
"market_data": "true",
|
|
||||||
"community_data": "false",
|
|
||||||
"developer_data": "false",
|
|
||||||
"sparkline": "false",
|
|
||||||
})
|
|
||||||
url = f"https://api.coingecko.com/api/v3/coins/{urllib.parse.quote(coin_id)}?{params}"
|
|
||||||
payload = fetch_json(url)
|
|
||||||
md = payload.get("market_data") or {}
|
|
||||||
out = {
|
|
||||||
"provider": "coingecko",
|
|
||||||
"id": payload.get("id"),
|
|
||||||
"symbol": payload.get("symbol"),
|
|
||||||
"name": payload.get("name"),
|
|
||||||
"marketCapRank": payload.get("market_cap_rank"),
|
|
||||||
"currentPriceUsd": (md.get("current_price") or {}).get("usd"),
|
|
||||||
"marketCapUsd": (md.get("market_cap") or {}).get("usd"),
|
|
||||||
"fullyDilutedValuationUsd": (md.get("fully_diluted_valuation") or {}).get("usd"),
|
|
||||||
"totalVolumeUsd": (md.get("total_volume") or {}).get("usd"),
|
|
||||||
"priceChangePercentage24h": md.get("price_change_percentage_24h"),
|
|
||||||
"priceChangePercentage7d": md.get("price_change_percentage_7d"),
|
|
||||||
"priceChangePercentage30d": md.get("price_change_percentage_30d"),
|
|
||||||
"circulatingSupply": md.get("circulating_supply"),
|
|
||||||
"totalSupply": md.get("total_supply"),
|
|
||||||
"maxSupply": md.get("max_supply"),
|
|
||||||
"homepage": (payload.get("links") or {}).get("homepage", [None])[0],
|
|
||||||
}
|
|
||||||
print_json(out)
|
|
||||||
|
|
||||||
|
|
||||||
def birdeye_token(address: str):
|
|
||||||
api_key = os.getenv("BIRDEYE_API_KEY") or os.getenv("BIRDEYE_APIKEY")
|
|
||||||
if not api_key:
|
|
||||||
raise SystemExit("Birdeye requires BIRDEYE_API_KEY in the environment")
|
|
||||||
url = "https://public-api.birdeye.so/defi/token_overview?address=" + urllib.parse.quote(address)
|
|
||||||
payload = fetch_json(url, headers={
|
|
||||||
"x-api-key": api_key,
|
|
||||||
"x-chain": "solana",
|
|
||||||
})
|
|
||||||
print_json({"provider": "birdeye", "address": address, "data": payload.get("data")})
|
|
||||||
|
|
||||||
|
|
||||||
def build_parser():
|
|
||||||
parser = argparse.ArgumentParser(description="Coin Hunter market data probe")
|
|
||||||
sub = parser.add_subparsers(dest="command", required=True)
|
|
||||||
|
|
||||||
p = sub.add_parser("bybit-ticker", help="Fetch Bybit spot ticker")
|
|
||||||
p.add_argument("symbol")
|
|
||||||
|
|
||||||
p = sub.add_parser("bybit-klines", help="Fetch Bybit spot klines")
|
|
||||||
p.add_argument("symbol")
|
|
||||||
p.add_argument("--interval", default="60", help="Bybit interval, e.g. 1, 5, 15, 60, 240, D")
|
|
||||||
p.add_argument("--limit", type=int, default=10)
|
|
||||||
|
|
||||||
p = sub.add_parser("dex-search", help="Search DexScreener by query")
|
|
||||||
p.add_argument("query")
|
|
||||||
|
|
||||||
p = sub.add_parser("dex-token", help="Fetch DexScreener token pairs by chain/address")
|
|
||||||
p.add_argument("chain")
|
|
||||||
p.add_argument("address")
|
|
||||||
|
|
||||||
p = sub.add_parser("gecko-search", help="Search CoinGecko")
|
|
||||||
p.add_argument("query")
|
|
||||||
|
|
||||||
p = sub.add_parser("gecko-coin", help="Fetch CoinGecko coin by id")
|
|
||||||
p.add_argument("coin_id")
|
|
||||||
|
|
||||||
p = sub.add_parser("birdeye-token", help="Fetch Birdeye token overview (Solana)")
|
|
||||||
p.add_argument("address")
|
|
||||||
|
|
||||||
return parser
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
parser = build_parser()
|
|
||||||
args = parser.parse_args()
|
|
||||||
if args.command == "bybit-ticker":
|
|
||||||
bybit_ticker(args.symbol)
|
|
||||||
elif args.command == "bybit-klines":
|
|
||||||
bybit_klines(args.symbol, args.interval, args.limit)
|
|
||||||
elif args.command == "dex-search":
|
|
||||||
dexscreener_search(args.query)
|
|
||||||
elif args.command == "dex-token":
|
|
||||||
dexscreener_token(args.chain, args.address)
|
|
||||||
elif args.command == "gecko-search":
|
|
||||||
coingecko_search(args.query)
|
|
||||||
elif args.command == "gecko-coin":
|
|
||||||
coingecko_coin(args.coin_id)
|
|
||||||
elif args.command == "birdeye-token":
|
|
||||||
birdeye_token(args.address)
|
|
||||||
else:
|
|
||||||
parser.error("Unknown command")
|
|
||||||
|
|
||||||
|
from .commands.market_probe import main
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
main()
|
raise SystemExit(main())
|
||||||
|
|||||||
@@ -1,16 +1,8 @@
|
|||||||
"""Print CoinHunter runtime paths."""
|
"""Backward-compatible facade for paths."""
|
||||||
|
|
||||||
from __future__ import annotations
|
from __future__ import annotations
|
||||||
|
|
||||||
import json
|
from .commands.paths import main
|
||||||
|
|
||||||
from .runtime import get_runtime_paths
|
|
||||||
|
|
||||||
|
|
||||||
def main() -> int:
|
|
||||||
print(json.dumps(get_runtime_paths().as_dict(), ensure_ascii=False, indent=2))
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
raise SystemExit(main())
|
raise SystemExit(main())
|
||||||
|
|||||||
@@ -1,28 +1,8 @@
|
|||||||
#!/usr/bin/env python3
|
"""Backward-compatible facade for rotate_external_gate_log."""
|
||||||
"""Rotate external gate log using the user's logrotate config/state."""
|
|
||||||
import shutil
|
|
||||||
import subprocess
|
|
||||||
|
|
||||||
from .runtime import ensure_runtime_dirs, get_runtime_paths
|
from __future__ import annotations
|
||||||
|
|
||||||
PATHS = get_runtime_paths()
|
|
||||||
STATE_DIR = PATHS.state_dir
|
|
||||||
LOGROTATE_STATUS = PATHS.logrotate_status
|
|
||||||
LOGROTATE_CONF = PATHS.logrotate_config
|
|
||||||
LOGS_DIR = PATHS.logs_dir
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
ensure_runtime_dirs(PATHS)
|
|
||||||
logrotate_bin = shutil.which("logrotate") or "/usr/sbin/logrotate"
|
|
||||||
cmd = [logrotate_bin, "-s", str(LOGROTATE_STATUS), str(LOGROTATE_CONF)]
|
|
||||||
result = subprocess.run(cmd, capture_output=True, text=True)
|
|
||||||
if result.stdout.strip():
|
|
||||||
print(result.stdout.strip())
|
|
||||||
if result.stderr.strip():
|
|
||||||
print(result.stderr.strip())
|
|
||||||
return result.returncode
|
|
||||||
|
|
||||||
|
from .commands.rotate_external_gate_log import main
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
raise SystemExit(main())
|
raise SystemExit(main())
|
||||||
|
|||||||
105
src/coinhunter/services/adaptive_profile.py
Normal file
105
src/coinhunter/services/adaptive_profile.py
Normal file
@@ -0,0 +1,105 @@
|
|||||||
|
"""Adaptive trigger profile builder for precheck."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from .data_utils import to_float
|
||||||
|
from .precheck_constants import (
|
||||||
|
BASE_CANDIDATE_SCORE_TRIGGER_RATIO,
|
||||||
|
BASE_COOLDOWN_MINUTES,
|
||||||
|
BASE_FORCE_ANALYSIS_AFTER_MINUTES,
|
||||||
|
BASE_PNL_TRIGGER_PCT,
|
||||||
|
BASE_PORTFOLIO_MOVE_TRIGGER_PCT,
|
||||||
|
BASE_PRICE_MOVE_TRIGGER_PCT,
|
||||||
|
MIN_ACTIONABLE_USDT,
|
||||||
|
MIN_REAL_POSITION_VALUE_USDT,
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def build_adaptive_profile(snapshot: dict):
|
||||||
|
portfolio_value = snapshot.get("portfolio_value_usdt", 0)
|
||||||
|
free_usdt = snapshot.get("free_usdt", 0)
|
||||||
|
session = snapshot.get("session")
|
||||||
|
market = snapshot.get("market_regime", {})
|
||||||
|
volatility_score = to_float(market.get("volatility_score"), 0)
|
||||||
|
leader_score = to_float(market.get("leader_score"), 0)
|
||||||
|
actionable_positions = int(snapshot.get("actionable_positions") or 0)
|
||||||
|
largest_position_value = to_float(snapshot.get("largest_position_value_usdt"), 0)
|
||||||
|
|
||||||
|
capital_band = "micro" if portfolio_value < 25 else "small" if portfolio_value < 100 else "normal"
|
||||||
|
session_mode = "quiet" if session in {"overnight", "asia-morning"} else "active"
|
||||||
|
volatility_mode = "high" if volatility_score >= 2.5 or leader_score >= 120 else "normal"
|
||||||
|
dust_mode = free_usdt < MIN_ACTIONABLE_USDT and largest_position_value < MIN_REAL_POSITION_VALUE_USDT
|
||||||
|
|
||||||
|
price_trigger = BASE_PRICE_MOVE_TRIGGER_PCT
|
||||||
|
pnl_trigger = BASE_PN_L_TRIGGER_PCT
|
||||||
|
portfolio_trigger = BASE_PORTFOLIO_MOVE_TRIGGER_PCT
|
||||||
|
candidate_ratio = BASE_CANDIDATE_SCORE_TRIGGER_RATIO
|
||||||
|
force_minutes = BASE_FORCE_ANALYSIS_AFTER_MINUTES
|
||||||
|
cooldown_minutes = BASE_COOLDOWN_MINUTES
|
||||||
|
soft_score_threshold = 2.0
|
||||||
|
|
||||||
|
if capital_band == "micro":
|
||||||
|
price_trigger += 0.02
|
||||||
|
pnl_trigger += 0.03
|
||||||
|
portfolio_trigger += 0.04
|
||||||
|
candidate_ratio += 0.25
|
||||||
|
force_minutes += 180
|
||||||
|
cooldown_minutes += 30
|
||||||
|
soft_score_threshold += 1.0
|
||||||
|
elif capital_band == "small":
|
||||||
|
price_trigger += 0.01
|
||||||
|
pnl_trigger += 0.01
|
||||||
|
portfolio_trigger += 0.01
|
||||||
|
candidate_ratio += 0.1
|
||||||
|
force_minutes += 60
|
||||||
|
cooldown_minutes += 10
|
||||||
|
soft_score_threshold += 0.5
|
||||||
|
|
||||||
|
if session_mode == "quiet":
|
||||||
|
price_trigger += 0.01
|
||||||
|
pnl_trigger += 0.01
|
||||||
|
portfolio_trigger += 0.01
|
||||||
|
candidate_ratio += 0.05
|
||||||
|
soft_score_threshold += 0.5
|
||||||
|
else:
|
||||||
|
force_minutes = max(120, force_minutes - 30)
|
||||||
|
|
||||||
|
if volatility_mode == "high":
|
||||||
|
price_trigger = max(0.02, price_trigger - 0.01)
|
||||||
|
pnl_trigger = max(0.025, pnl_trigger - 0.005)
|
||||||
|
portfolio_trigger = max(0.025, portfolio_trigger - 0.005)
|
||||||
|
candidate_ratio = max(1.1, candidate_ratio - 0.1)
|
||||||
|
cooldown_minutes = max(20, cooldown_minutes - 10)
|
||||||
|
soft_score_threshold = max(1.0, soft_score_threshold - 0.5)
|
||||||
|
|
||||||
|
if dust_mode:
|
||||||
|
candidate_ratio += 0.3
|
||||||
|
force_minutes += 180
|
||||||
|
cooldown_minutes += 30
|
||||||
|
soft_score_threshold += 1.5
|
||||||
|
|
||||||
|
return {
|
||||||
|
"capital_band": capital_band,
|
||||||
|
"session_mode": session_mode,
|
||||||
|
"volatility_mode": volatility_mode,
|
||||||
|
"dust_mode": dust_mode,
|
||||||
|
"price_move_trigger_pct": round(price_trigger, 4),
|
||||||
|
"pnl_trigger_pct": round(pnl_trigger, 4),
|
||||||
|
"portfolio_move_trigger_pct": round(portfolio_trigger, 4),
|
||||||
|
"candidate_score_trigger_ratio": round(candidate_ratio, 4),
|
||||||
|
"force_analysis_after_minutes": int(force_minutes),
|
||||||
|
"cooldown_minutes": int(cooldown_minutes),
|
||||||
|
"soft_score_threshold": round(soft_score_threshold, 2),
|
||||||
|
"new_entries_allowed": free_usdt >= MIN_ACTIONABLE_USDT and not dust_mode,
|
||||||
|
"switching_allowed": actionable_positions > 0 or portfolio_value >= 25,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def _candidate_weight(snapshot: dict, profile: dict) -> float:
|
||||||
|
if not profile.get("new_entries_allowed"):
|
||||||
|
return 0.5
|
||||||
|
if profile.get("volatility_mode") == "high":
|
||||||
|
return 1.5
|
||||||
|
if snapshot.get("session") in {"europe-open", "us-session"}:
|
||||||
|
return 1.25
|
||||||
|
return 1.0
|
||||||
71
src/coinhunter/services/candidate_scoring.py
Normal file
71
src/coinhunter/services/candidate_scoring.py
Normal file
@@ -0,0 +1,71 @@
|
|||||||
|
"""Candidate coin scoring and selection for precheck."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import re
|
||||||
|
|
||||||
|
from .data_utils import to_float
|
||||||
|
from .precheck_constants import BLACKLIST, MAX_PRICE_CAP, MIN_CHANGE_PCT, TOP_CANDIDATES
|
||||||
|
|
||||||
|
|
||||||
|
def _liquidity_score(volume: float) -> float:
|
||||||
|
return min(1.0, max(0.0, volume / 50_000_000))
|
||||||
|
|
||||||
|
|
||||||
|
def _breakout_score(price: float, avg_price: float | None) -> float:
|
||||||
|
if not avg_price or avg_price <= 0:
|
||||||
|
return 0.0
|
||||||
|
return (price - avg_price) / avg_price
|
||||||
|
|
||||||
|
|
||||||
|
def top_candidates_from_tickers(tickers: dict):
|
||||||
|
candidates = []
|
||||||
|
for symbol, ticker in tickers.items():
|
||||||
|
if not symbol.endswith("/USDT"):
|
||||||
|
continue
|
||||||
|
base = symbol.replace("/USDT", "")
|
||||||
|
if base in BLACKLIST:
|
||||||
|
continue
|
||||||
|
if not re.fullmatch(r"[A-Z0-9]{2,20}", base):
|
||||||
|
continue
|
||||||
|
price = to_float(ticker.get("last"))
|
||||||
|
change_pct = to_float(ticker.get("percentage"))
|
||||||
|
volume = to_float(ticker.get("quoteVolume"))
|
||||||
|
high = to_float(ticker.get("high"))
|
||||||
|
low = to_float(ticker.get("low"))
|
||||||
|
avg_price = to_float(ticker.get("average"), None)
|
||||||
|
if price <= 0:
|
||||||
|
continue
|
||||||
|
if MAX_PRICE_CAP is not None and price > MAX_PRICE_CAP:
|
||||||
|
continue
|
||||||
|
if volume < 500_000:
|
||||||
|
continue
|
||||||
|
if change_pct < MIN_CHANGE_PCT:
|
||||||
|
continue
|
||||||
|
momentum = change_pct / 10.0
|
||||||
|
liquidity = _liquidity_score(volume)
|
||||||
|
breakout = _breakout_score(price, avg_price)
|
||||||
|
score = round(momentum * 0.5 + liquidity * 0.3 + breakout * 0.2, 4)
|
||||||
|
band = "major" if price >= 10 else "mid" if price >= 1 else "meme"
|
||||||
|
distance_from_high = (high - price) / max(high, 1e-9) if high else None
|
||||||
|
candidates.append({
|
||||||
|
"symbol": symbol,
|
||||||
|
"base": base,
|
||||||
|
"price": round(price, 8),
|
||||||
|
"change_24h_pct": round(change_pct, 2),
|
||||||
|
"volume_24h": round(volume, 2),
|
||||||
|
"breakout_pct": round(breakout * 100, 2),
|
||||||
|
"high_24h": round(high, 8) if high else None,
|
||||||
|
"low_24h": round(low, 8) if low else None,
|
||||||
|
"distance_from_high_pct": round(distance_from_high * 100, 2) if distance_from_high is not None else None,
|
||||||
|
"score": score,
|
||||||
|
"band": band,
|
||||||
|
})
|
||||||
|
candidates.sort(key=lambda x: x["score"], reverse=True)
|
||||||
|
global_top = candidates[:TOP_CANDIDATES]
|
||||||
|
layers = {"major": [], "mid": [], "meme": []}
|
||||||
|
for c in candidates:
|
||||||
|
layers[c["band"]].append(c)
|
||||||
|
for k in layers:
|
||||||
|
layers[k] = layers[k][:5]
|
||||||
|
return global_top, layers
|
||||||
39
src/coinhunter/services/data_utils.py
Normal file
39
src/coinhunter/services/data_utils.py
Normal file
@@ -0,0 +1,39 @@
|
|||||||
|
"""Generic data helpers for precheck."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import hashlib
|
||||||
|
import json
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
|
||||||
|
def load_json(path: Path, default):
|
||||||
|
if not path.exists():
|
||||||
|
return default
|
||||||
|
try:
|
||||||
|
return json.loads(path.read_text(encoding="utf-8"))
|
||||||
|
except Exception:
|
||||||
|
return default
|
||||||
|
|
||||||
|
|
||||||
|
def stable_hash(data) -> str:
|
||||||
|
payload = json.dumps(data, sort_keys=True, ensure_ascii=False, separators=(",", ":"))
|
||||||
|
return hashlib.sha1(payload.encode("utf-8")).hexdigest()
|
||||||
|
|
||||||
|
|
||||||
|
def to_float(value, default=0.0):
|
||||||
|
try:
|
||||||
|
if value is None:
|
||||||
|
return default
|
||||||
|
return float(value)
|
||||||
|
except Exception:
|
||||||
|
return default
|
||||||
|
|
||||||
|
|
||||||
|
def norm_symbol(symbol: str) -> str:
|
||||||
|
s = symbol.upper().replace("-", "").replace("_", "")
|
||||||
|
if "/" in s:
|
||||||
|
return s
|
||||||
|
if s.endswith("USDT"):
|
||||||
|
return s[:-4] + "/USDT"
|
||||||
|
return s
|
||||||
136
src/coinhunter/services/market_data.py
Normal file
136
src/coinhunter/services/market_data.py
Normal file
@@ -0,0 +1,136 @@
|
|||||||
|
"""Market data fetching and metric computation for precheck."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import os
|
||||||
|
|
||||||
|
import ccxt
|
||||||
|
|
||||||
|
from .data_utils import norm_symbol, to_float
|
||||||
|
from .precheck_constants import BLACKLIST, MAX_PRICE_CAP, MIN_CHANGE_PCT
|
||||||
|
from .time_utils import utc_now
|
||||||
|
|
||||||
|
|
||||||
|
def get_exchange():
|
||||||
|
from ..runtime import load_env_file
|
||||||
|
from .precheck_constants import ENV_FILE
|
||||||
|
|
||||||
|
load_env_file(ENV_FILE)
|
||||||
|
api_key = os.getenv("BINANCE_API_KEY")
|
||||||
|
secret = os.getenv("BINANCE_API_SECRET")
|
||||||
|
if not api_key or not secret:
|
||||||
|
raise RuntimeError("Missing BINANCE_API_KEY or BINANCE_API_SECRET in ~/.hermes/.env")
|
||||||
|
ex = ccxt.binance({
|
||||||
|
"apiKey": api_key,
|
||||||
|
"secret": secret,
|
||||||
|
"options": {"defaultType": "spot"},
|
||||||
|
"enableRateLimit": True,
|
||||||
|
})
|
||||||
|
ex.load_markets()
|
||||||
|
return ex
|
||||||
|
|
||||||
|
|
||||||
|
def fetch_ohlcv_batch(ex, symbols: set, timeframe: str, limit: int):
|
||||||
|
results = {}
|
||||||
|
for sym in sorted(symbols):
|
||||||
|
try:
|
||||||
|
ohlcv = ex.fetch_ohlcv(sym, timeframe=timeframe, limit=limit)
|
||||||
|
if ohlcv and len(ohlcv) >= 2:
|
||||||
|
results[sym] = ohlcv
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
return results
|
||||||
|
|
||||||
|
|
||||||
|
def compute_ohlcv_metrics(ohlcv_1h, ohlcv_4h, current_price, volume_24h=None):
|
||||||
|
metrics = {}
|
||||||
|
if ohlcv_1h and len(ohlcv_1h) >= 2:
|
||||||
|
closes = [c[4] for c in ohlcv_1h]
|
||||||
|
volumes = [c[5] for c in ohlcv_1h]
|
||||||
|
metrics["change_1h_pct"] = round((closes[-1] - closes[-2]) / closes[-2] * 100, 2) if closes[-2] != 0 else None
|
||||||
|
if len(closes) >= 5:
|
||||||
|
metrics["change_4h_pct"] = round((closes[-1] - closes[-5]) / closes[-5] * 100, 2) if closes[-5] != 0 else None
|
||||||
|
recent_vol = sum(volumes[-4:]) / 4 if len(volumes) >= 4 else None
|
||||||
|
metrics["volume_1h_avg"] = round(recent_vol, 2) if recent_vol else None
|
||||||
|
highs = [c[2] for c in ohlcv_1h[-4:]]
|
||||||
|
lows = [c[3] for c in ohlcv_1h[-4:]]
|
||||||
|
metrics["high_4h"] = round(max(highs), 8) if highs else None
|
||||||
|
metrics["low_4h"] = round(min(lows), 8) if lows else None
|
||||||
|
|
||||||
|
if ohlcv_4h and len(ohlcv_4h) >= 2:
|
||||||
|
closes_4h = [c[4] for c in ohlcv_4h]
|
||||||
|
volumes_4h = [c[5] for c in ohlcv_4h]
|
||||||
|
metrics["change_4h_pct_from_4h"] = round((closes_4h[-1] - closes_4h[-2]) / closes_4h[-2] * 100, 2) if closes_4h[-2] != 0 else None
|
||||||
|
recent_vol_4h = sum(volumes_4h[-2:]) / 2 if len(volumes_4h) >= 2 else None
|
||||||
|
metrics["volume_4h_avg"] = round(recent_vol_4h, 2) if recent_vol_4h else None
|
||||||
|
highs_4h = [c[2] for c in ohlcv_4h]
|
||||||
|
lows_4h = [c[3] for c in ohlcv_4h]
|
||||||
|
metrics["high_24h_calc"] = round(max(highs_4h), 8) if highs_4h else None
|
||||||
|
metrics["low_24h_calc"] = round(min(lows_4h), 8) if lows_4h else None
|
||||||
|
if highs_4h and lows_4h:
|
||||||
|
avg_price = sum(closes_4h) / len(closes_4h)
|
||||||
|
metrics["volatility_4h_pct"] = round((max(highs_4h) - min(lows_4h)) / avg_price * 100, 2)
|
||||||
|
|
||||||
|
if current_price:
|
||||||
|
if metrics.get("high_4h"):
|
||||||
|
metrics["distance_from_4h_high_pct"] = round((metrics["high_4h"] - current_price) / metrics["high_4h"] * 100, 2)
|
||||||
|
if metrics.get("low_4h"):
|
||||||
|
metrics["distance_from_4h_low_pct"] = round((current_price - metrics["low_4h"]) / metrics["low_4h"] * 100, 2)
|
||||||
|
if metrics.get("high_24h_calc"):
|
||||||
|
metrics["distance_from_24h_high_pct"] = round((metrics["high_24h_calc"] - current_price) / metrics["high_24h_calc"] * 100, 2)
|
||||||
|
if metrics.get("low_24h_calc"):
|
||||||
|
metrics["distance_from_24h_low_pct"] = round((current_price - metrics["low_24h_calc"]) / metrics["low_24h_calc"] * 100, 2)
|
||||||
|
|
||||||
|
if volume_24h and volume_24h > 0 and metrics.get("volume_1h_avg"):
|
||||||
|
daily_avg_1h = volume_24h / 24
|
||||||
|
metrics["volume_1h_multiple"] = round(metrics["volume_1h_avg"] / daily_avg_1h, 2)
|
||||||
|
if volume_24h and volume_24h > 0 and metrics.get("volume_4h_avg"):
|
||||||
|
daily_avg_4h = volume_24h / 6
|
||||||
|
metrics["volume_4h_multiple"] = round(metrics["volume_4h_avg"] / daily_avg_4h, 2)
|
||||||
|
|
||||||
|
return metrics
|
||||||
|
|
||||||
|
|
||||||
|
def enrich_candidates_and_positions(global_candidates, candidate_layers, positions_view, tickers, ex):
|
||||||
|
symbols = set()
|
||||||
|
for c in global_candidates:
|
||||||
|
symbols.add(c["symbol"])
|
||||||
|
for p in positions_view:
|
||||||
|
sym = p.get("symbol")
|
||||||
|
if sym:
|
||||||
|
sym_ccxt = norm_symbol(sym)
|
||||||
|
symbols.add(sym_ccxt)
|
||||||
|
|
||||||
|
ohlcv_1h = fetch_ohlcv_batch(ex, symbols, "1h", 24)
|
||||||
|
ohlcv_4h = fetch_ohlcv_batch(ex, symbols, "4h", 12)
|
||||||
|
|
||||||
|
def _apply(target_list):
|
||||||
|
for item in target_list:
|
||||||
|
sym = item.get("symbol")
|
||||||
|
if not sym:
|
||||||
|
continue
|
||||||
|
sym_ccxt = norm_symbol(sym)
|
||||||
|
v24h = to_float(tickers.get(sym_ccxt, {}).get("quoteVolume"))
|
||||||
|
metrics = compute_ohlcv_metrics(
|
||||||
|
ohlcv_1h.get(sym_ccxt),
|
||||||
|
ohlcv_4h.get(sym_ccxt),
|
||||||
|
item.get("price") or item.get("last_price"),
|
||||||
|
volume_24h=v24h,
|
||||||
|
)
|
||||||
|
item["metrics"] = metrics
|
||||||
|
|
||||||
|
_apply(global_candidates)
|
||||||
|
for band_list in candidate_layers.values():
|
||||||
|
_apply(band_list)
|
||||||
|
_apply(positions_view)
|
||||||
|
return global_candidates, candidate_layers, positions_view
|
||||||
|
|
||||||
|
|
||||||
|
def regime_from_pct(pct: float | None) -> str:
|
||||||
|
if pct is None:
|
||||||
|
return "unknown"
|
||||||
|
if pct >= 2.0:
|
||||||
|
return "bullish"
|
||||||
|
if pct <= -2.0:
|
||||||
|
return "bearish"
|
||||||
|
return "neutral"
|
||||||
@@ -2,16 +2,13 @@
|
|||||||
|
|
||||||
from __future__ import annotations
|
from __future__ import annotations
|
||||||
|
|
||||||
from . import precheck_core
|
from .time_utils import utc_iso
|
||||||
|
from .trigger_analyzer import analyze_trigger
|
||||||
|
|
||||||
def analyze_trigger(snapshot: dict, state: dict) -> dict:
|
|
||||||
return precheck_core.analyze_trigger(snapshot, state)
|
|
||||||
|
|
||||||
|
|
||||||
def build_failure_payload(exc: Exception) -> dict:
|
def build_failure_payload(exc: Exception) -> dict:
|
||||||
return {
|
return {
|
||||||
"generated_at": precheck_core.utc_iso(),
|
"generated_at": utc_iso(),
|
||||||
"status": "deep_analysis_required",
|
"status": "deep_analysis_required",
|
||||||
"should_analyze": True,
|
"should_analyze": True,
|
||||||
"pending_trigger": True,
|
"pending_trigger": True,
|
||||||
@@ -21,5 +18,5 @@ def build_failure_payload(exc: Exception) -> dict:
|
|||||||
"soft_reasons": [],
|
"soft_reasons": [],
|
||||||
"soft_score": 0,
|
"soft_score": 0,
|
||||||
"details": [str(exc)],
|
"details": [str(exc)],
|
||||||
"compact_summary": f"预检查失败，转入深度分析兜底: {exc}",
|
"compact_summary": f"预检查失败，转入深度分析兑底: {exc}",
|
||||||
}
|
}
|
||||||
|
|||||||
31
src/coinhunter/services/precheck_constants.py
Normal file
31
src/coinhunter/services/precheck_constants.py
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
"""Precheck constants and runtime paths."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from ..runtime import get_runtime_paths
|
||||||
|
|
||||||
|
PATHS = get_runtime_paths()
|
||||||
|
BASE_DIR = PATHS.root
|
||||||
|
STATE_DIR = PATHS.state_dir
|
||||||
|
STATE_FILE = PATHS.precheck_state_file
|
||||||
|
POSITIONS_FILE = PATHS.positions_file
|
||||||
|
CONFIG_FILE = PATHS.config_file
|
||||||
|
ENV_FILE = PATHS.env_file
|
||||||
|
|
||||||
|
BASE_PRICE_MOVE_TRIGGER_PCT = 0.025
|
||||||
|
BASE_PNL_TRIGGER_PCT = 0.03
|
||||||
|
BASE_PORTFOLIO_MOVE_TRIGGER_PCT = 0.03
|
||||||
|
BASE_CANDIDATE_SCORE_TRIGGER_RATIO = 1.15
|
||||||
|
BASE_FORCE_ANALYSIS_AFTER_MINUTES = 180
|
||||||
|
BASE_COOLDOWN_MINUTES = 45
|
||||||
|
TOP_CANDIDATES = 10
|
||||||
|
MIN_ACTIONABLE_USDT = 12.0
|
||||||
|
MIN_REAL_POSITION_VALUE_USDT = 8.0
|
||||||
|
BLACKLIST = {"USDC", "BUSD", "TUSD", "FDUSD", "USTC", "PAXG"}
|
||||||
|
HARD_STOP_PCT = -0.08
|
||||||
|
HARD_MOON_PCT = 0.25
|
||||||
|
MIN_CHANGE_PCT = 1.0
|
||||||
|
MAX_PRICE_CAP = None
|
||||||
|
HARD_REASON_DEDUP_MINUTES = 15
|
||||||
|
MAX_PENDING_TRIGGER_MINUTES = 30
|
||||||
|
MAX_RUN_REQUEST_MINUTES = 20
|
||||||
@@ -1,900 +1,99 @@
|
|||||||
"""Service-owned precheck core logic.
|
"""Backward-compatible facade for precheck internals.
|
||||||
|
|
||||||
This module holds the reusable implementation. Root-level ``coinhunter.precheck``
|
The reusable implementation has been split into smaller modules:
|
||||||
is intentionally kept as a compatibility facade for older imports and direct
|
- precheck_constants : paths and thresholds
|
||||||
module execution.
|
- time_utils : UTC/local time helpers
|
||||||
|
- data_utils : json, hash, float, symbol normalization
|
||||||
|
- state_manager : load/save/sanitize state
|
||||||
|
- market_data : exchange, ohlcv, metrics
|
||||||
|
- candidate_scoring : top candidate selection
|
||||||
|
- snapshot_builder : build_snapshot
|
||||||
|
- adaptive_profile : trigger profile builder
|
||||||
|
- trigger_analyzer : analyze_trigger
|
||||||
|
|
||||||
|
Keep this module importable so older entrypoints continue to work.
|
||||||
"""
|
"""
|
||||||
|
|
||||||
from __future__ import annotations
|
from __future__ import annotations
|
||||||
|
|
||||||
import hashlib
|
from importlib import import_module
|
||||||
import json
|
|
||||||
import os
|
_MODULE_MAP = {
|
||||||
import re
|
"PATHS": ".precheck_constants",
|
||||||
from datetime import datetime, timedelta, timezone
|
"BASE_DIR": ".precheck_constants",
|
||||||
from pathlib import Path
|
"STATE_DIR": ".precheck_constants",
|
||||||
from zoneinfo import ZoneInfo
|
"STATE_FILE": ".precheck_constants",
|
||||||
|
"POSITIONS_FILE": ".precheck_constants",
|
||||||
import ccxt
|
"CONFIG_FILE": ".precheck_constants",
|
||||||
|
"ENV_FILE": ".precheck_constants",
|
||||||
from ..runtime import get_runtime_paths, load_env_file
|
"BASE_PRICE_MOVE_TRIGGER_PCT": ".precheck_constants",
|
||||||
|
"BASE_PNL_TRIGGER_PCT": ".precheck_constants",
|
||||||
PATHS = get_runtime_paths()
|
"BASE_PORTFOLIO_MOVE_TRIGGER_PCT": ".precheck_constants",
|
||||||
BASE_DIR = PATHS.root
|
"BASE_CANDIDATE_SCORE_TRIGGER_RATIO": ".precheck_constants",
|
||||||
STATE_DIR = PATHS.state_dir
|
"BASE_FORCE_ANALYSIS_AFTER_MINUTES": ".precheck_constants",
|
||||||
STATE_FILE = PATHS.precheck_state_file
|
"BASE_COOLDOWN_MINUTES": ".precheck_constants",
|
||||||
POSITIONS_FILE = PATHS.positions_file
|
"TOP_CANDIDATES": ".precheck_constants",
|
||||||
CONFIG_FILE = PATHS.config_file
|
"MIN_ACTIONABLE_USDT": ".precheck_constants",
|
||||||
ENV_FILE = PATHS.env_file
|
"MIN_REAL_POSITION_VALUE_USDT": ".precheck_constants",
|
||||||
|
"BLACKLIST": ".precheck_constants",
|
||||||
BASE_PRICE_MOVE_TRIGGER_PCT = 0.025
|
"HARD_STOP_PCT": ".precheck_constants",
|
||||||
BASE_PNL_TRIGGER_PCT = 0.03
|
"HARD_MOON_PCT": ".precheck_constants",
|
||||||
BASE_PORTFOLIO_MOVE_TRIGGER_PCT = 0.03
|
"MIN_CHANGE_PCT": ".precheck_constants",
|
||||||
BASE_CANDIDATE_SCORE_TRIGGER_RATIO = 1.15
|
"MAX_PRICE_CAP": ".precheck_constants",
|
||||||
BASE_FORCE_ANALYSIS_AFTER_MINUTES = 180
|
"HARD_REASON_DEDUP_MINUTES": ".precheck_constants",
|
||||||
BASE_COOLDOWN_MINUTES = 45
|
"MAX_PENDING_TRIGGER_MINUTES": ".precheck_constants",
|
||||||
TOP_CANDIDATES = 10
|
"MAX_RUN_REQUEST_MINUTES": ".precheck_constants",
|
||||||
MIN_ACTIONABLE_USDT = 12.0
|
"utc_now": ".time_utils",
|
||||||
MIN_REAL_POSITION_VALUE_USDT = 8.0
|
"utc_iso": ".time_utils",
|
||||||
BLACKLIST = {"USDC", "BUSD", "TUSD", "FDUSD", "USTC", "PAXG"}
|
"parse_ts": ".time_utils",
|
||||||
HARD_STOP_PCT = -0.08
|
"get_local_now": ".time_utils",
|
||||||
HARD_MOON_PCT = 0.25
|
"session_label": ".time_utils",
|
||||||
MIN_CHANGE_PCT = 1.0
|
"load_json": ".data_utils",
|
||||||
MAX_PRICE_CAP = None
|
"stable_hash": ".data_utils",
|
||||||
HARD_REASON_DEDUP_MINUTES = 15
|
"to_float": ".data_utils",
|
||||||
MAX_PENDING_TRIGGER_MINUTES = 30
|
"norm_symbol": ".data_utils",
|
||||||
MAX_RUN_REQUEST_MINUTES = 20
|
"load_env": ".state_manager",
|
||||||
|
"load_positions": ".state_manager",
|
||||||
|
"load_state": ".state_manager",
|
||||||
def utc_now():
|
"load_config": ".state_manager",
|
||||||
return datetime.now(timezone.utc)
|
"clear_run_request_fields": ".state_manager",
|
||||||
|
"sanitize_state_for_stale_triggers": ".state_manager",
|
||||||
|
"save_state": ".state_manager",
|
||||||
def utc_iso():
|
"update_state_after_observation": ".state_manager",
|
||||||
return utc_now().isoformat()
|
"get_exchange": ".market_data",
|
||||||
|
"fetch_ohlcv_batch": ".market_data",
|
||||||
|
"compute_ohlcv_metrics": ".market_data",
|
||||||
def parse_ts(value: str | None):
|
"enrich_candidates_and_positions": ".market_data",
|
||||||
if not value:
|
"regime_from_pct": ".market_data",
|
||||||
return None
|
"_liquidity_score": ".candidate_scoring",
|
||||||
try:
|
"_breakout_score": ".candidate_scoring",
|
||||||
ts = datetime.fromisoformat(value)
|
"top_candidates_from_tickers": ".candidate_scoring",
|
||||||
if ts.tzinfo is None:
|
"build_snapshot": ".snapshot_builder",
|
||||||
ts = ts.replace(tzinfo=timezone.utc)
|
"build_adaptive_profile": ".adaptive_profile",
|
||||||
return ts
|
"_candidate_weight": ".adaptive_profile",
|
||||||
except Exception:
|
"analyze_trigger": ".trigger_analyzer",
|
||||||
return None
|
|
||||||
|
|
||||||
|
|
||||||
def load_json(path: Path, default):
|
|
||||||
if not path.exists():
|
|
||||||
return default
|
|
||||||
try:
|
|
||||||
return json.loads(path.read_text(encoding="utf-8"))
|
|
||||||
except Exception:
|
|
||||||
return default
|
|
||||||
|
|
||||||
|
|
||||||
def load_env():
|
|
||||||
load_env_file(PATHS)
|
|
||||||
|
|
||||||
|
|
||||||
def load_positions():
|
|
||||||
return load_json(POSITIONS_FILE, {}).get("positions", [])
|
|
||||||
|
|
||||||
|
|
||||||
def load_state():
|
|
||||||
return load_json(STATE_FILE, {})
|
|
||||||
|
|
||||||
|
|
||||||
def load_config():
|
|
||||||
return load_json(CONFIG_FILE, {})
|
|
||||||
|
|
||||||
|
|
||||||
def clear_run_request_fields(state: dict):
|
|
||||||
state.pop("run_requested_at", None)
|
|
||||||
state.pop("run_request_note", None)
|
|
||||||
|
|
||||||
|
|
||||||
def sanitize_state_for_stale_triggers(state: dict):
|
|
||||||
sanitized = dict(state)
|
|
||||||
notes = []
|
|
||||||
now = utc_now()
|
|
||||||
run_requested_at = parse_ts(sanitized.get("run_requested_at"))
|
|
||||||
last_deep_analysis_at = parse_ts(sanitized.get("last_deep_analysis_at"))
|
|
||||||
last_triggered_at = parse_ts(sanitized.get("last_triggered_at"))
|
|
||||||
pending_trigger = bool(sanitized.get("pending_trigger"))
|
|
||||||
|
|
||||||
if run_requested_at and last_deep_analysis_at and last_deep_analysis_at >= run_requested_at:
|
|
||||||
clear_run_request_fields(sanitized)
|
|
||||||
if pending_trigger and (not last_triggered_at or last_deep_analysis_at >= last_triggered_at):
|
|
||||||
sanitized["pending_trigger"] = False
|
|
||||||
sanitized["pending_reasons"] = []
|
|
||||||
sanitized["last_ack_note"] = (
|
|
||||||
f"auto-cleared completed trigger at {utc_iso()} because last_deep_analysis_at >= run_requested_at"
|
|
||||||
)
|
|
||||||
pending_trigger = False
|
|
||||||
notes.append(
|
|
||||||
f"自动清理已完成的 run_requested 标记：最近深度分析时间 {last_deep_analysis_at.isoformat()} >= 请求时间 {run_requested_at.isoformat()}"
|
|
||||||
)
|
|
||||||
run_requested_at = None
|
|
||||||
|
|
||||||
if run_requested_at and now - run_requested_at > timedelta(minutes=MAX_RUN_REQUEST_MINUTES):
|
|
||||||
clear_run_request_fields(sanitized)
|
|
||||||
notes.append(
|
|
||||||
f"自动清理超时 run_requested 标记：已等待 {(now - run_requested_at).total_seconds() / 60:.1f} 分钟，超过 {MAX_RUN_REQUEST_MINUTES} 分钟"
|
|
||||||
)
|
|
||||||
run_requested_at = None
|
|
||||||
|
|
||||||
pending_anchor = run_requested_at or last_triggered_at or last_deep_analysis_at
|
|
||||||
if pending_trigger and pending_anchor and now - pending_anchor > timedelta(minutes=MAX_PENDING_TRIGGER_MINUTES):
|
|
||||||
sanitized["pending_trigger"] = False
|
|
||||||
sanitized["pending_reasons"] = []
|
|
||||||
sanitized["last_ack_note"] = (
|
|
||||||
f"auto-recovered stale pending trigger at {utc_iso()} after waiting "
|
|
||||||
f"{(now - pending_anchor).total_seconds() / 60:.1f} minutes"
|
|
||||||
)
|
|
||||||
notes.append(
|
|
||||||
f"自动解除 pending_trigger：触发状态已悬挂 {(now - pending_anchor).total_seconds() / 60:.1f} 分钟，超过 {MAX_PENDING_TRIGGER_MINUTES} 分钟"
|
|
||||||
)
|
|
||||||
|
|
||||||
sanitized["_stale_recovery_notes"] = notes
|
|
||||||
return sanitized
|
|
||||||
|
|
||||||
|
|
||||||
def save_state(state: dict):
|
|
||||||
STATE_DIR.mkdir(parents=True, exist_ok=True)
|
|
||||||
state_to_save = dict(state)
|
|
||||||
state_to_save.pop("_stale_recovery_notes", None)
|
|
||||||
STATE_FILE.write_text(json.dumps(state_to_save, indent=2, ensure_ascii=False), encoding="utf-8")
|
|
||||||
|
|
||||||
|
|
||||||
def stable_hash(data) -> str:
|
|
||||||
payload = json.dumps(data, sort_keys=True, ensure_ascii=False, separators=(",", ":"))
|
|
||||||
return hashlib.sha1(payload.encode("utf-8")).hexdigest()
|
|
||||||
|
|
||||||
|
|
||||||
def get_exchange():
|
|
||||||
load_env()
|
|
||||||
api_key = os.getenv("BINANCE_API_KEY")
|
|
||||||
secret = os.getenv("BINANCE_API_SECRET")
|
|
||||||
if not api_key or not secret:
|
|
||||||
raise RuntimeError("Missing BINANCE_API_KEY or BINANCE_API_SECRET in ~/.hermes/.env")
|
|
||||||
ex = ccxt.binance({
|
|
||||||
"apiKey": api_key,
|
|
||||||
"secret": secret,
|
|
||||||
"options": {"defaultType": "spot"},
|
|
||||||
"enableRateLimit": True,
|
|
||||||
})
|
|
||||||
ex.load_markets()
|
|
||||||
return ex
|
|
||||||
|
|
||||||
|
|
||||||
def fetch_ohlcv_batch(ex, symbols: set, timeframe: str, limit: int):
|
|
||||||
results = {}
|
|
||||||
for sym in sorted(symbols):
|
|
||||||
try:
|
|
||||||
ohlcv = ex.fetch_ohlcv(sym, timeframe=timeframe, limit=limit)
|
|
||||||
if ohlcv and len(ohlcv) >= 2:
|
|
||||||
results[sym] = ohlcv
|
|
||||||
except Exception:
|
|
||||||
pass
|
|
||||||
return results
|
|
||||||
|
|
||||||
|
|
||||||
def compute_ohlcv_metrics(ohlcv_1h, ohlcv_4h, current_price, volume_24h=None):
|
|
||||||
metrics = {}
|
|
||||||
if ohlcv_1h and len(ohlcv_1h) >= 2:
|
|
||||||
closes = [c[4] for c in ohlcv_1h]
|
|
||||||
volumes = [c[5] for c in ohlcv_1h]
|
|
||||||
metrics["change_1h_pct"] = round((closes[-1] - closes[-2]) / closes[-2] * 100, 2) if closes[-2] != 0 else None
|
|
||||||
if len(closes) >= 5:
|
|
||||||
metrics["change_4h_pct"] = round((closes[-1] - closes[-5]) / closes[-5] * 100, 2) if closes[-5] != 0 else None
|
|
||||||
recent_vol = sum(volumes[-4:]) / 4 if len(volumes) >= 4 else None
|
|
||||||
metrics["volume_1h_avg"] = round(recent_vol, 2) if recent_vol else None
|
|
||||||
highs = [c[2] for c in ohlcv_1h[-4:]]
|
|
||||||
lows = [c[3] for c in ohlcv_1h[-4:]]
|
|
||||||
metrics["high_4h"] = round(max(highs), 8) if highs else None
|
|
||||||
metrics["low_4h"] = round(min(lows), 8) if lows else None
|
|
||||||
|
|
||||||
if ohlcv_4h and len(ohlcv_4h) >= 2:
|
|
||||||
closes_4h = [c[4] for c in ohlcv_4h]
|
|
||||||
volumes_4h = [c[5] for c in ohlcv_4h]
|
|
||||||
metrics["change_4h_pct_from_4h"] = round((closes_4h[-1] - closes_4h[-2]) / closes_4h[-2] * 100, 2) if closes_4h[-2] != 0 else None
|
|
||||||
recent_vol_4h = sum(volumes_4h[-2:]) / 2 if len(volumes_4h) >= 2 else None
|
|
||||||
metrics["volume_4h_avg"] = round(recent_vol_4h, 2) if recent_vol_4h else None
|
|
||||||
highs_4h = [c[2] for c in ohlcv_4h]
|
|
||||||
lows_4h = [c[3] for c in ohlcv_4h]
|
|
||||||
metrics["high_24h_calc"] = round(max(highs_4h), 8) if highs_4h else None
|
|
||||||
metrics["low_24h_calc"] = round(min(lows_4h), 8) if lows_4h else None
|
|
||||||
if highs_4h and lows_4h:
|
|
||||||
avg_price = sum(closes_4h) / len(closes_4h)
|
|
||||||
metrics["volatility_4h_pct"] = round((max(highs_4h) - min(lows_4h)) / avg_price * 100, 2)
|
|
||||||
|
|
||||||
if current_price:
|
|
||||||
if metrics.get("high_4h"):
|
|
||||||
metrics["distance_from_4h_high_pct"] = round((metrics["high_4h"] - current_price) / metrics["high_4h"] * 100, 2)
|
|
||||||
if metrics.get("low_4h"):
|
|
||||||
metrics["distance_from_4h_low_pct"] = round((current_price - metrics["low_4h"]) / metrics["low_4h"] * 100, 2)
|
|
||||||
if metrics.get("high_24h_calc"):
|
|
||||||
metrics["distance_from_24h_high_pct"] = round((metrics["high_24h_calc"] - current_price) / metrics["high_24h_calc"] * 100, 2)
|
|
||||||
if metrics.get("low_24h_calc"):
|
|
||||||
metrics["distance_from_24h_low_pct"] = round((current_price - metrics["low_24h_calc"]) / metrics["low_24h_calc"] * 100, 2)
|
|
||||||
|
|
||||||
if volume_24h and volume_24h > 0 and metrics.get("volume_1h_avg"):
|
|
||||||
daily_avg_1h = volume_24h / 24
|
|
||||||
metrics["volume_1h_multiple"] = round(metrics["volume_1h_avg"] / daily_avg_1h, 2)
|
|
||||||
if volume_24h and volume_24h > 0 and metrics.get("volume_4h_avg"):
|
|
||||||
daily_avg_4h = volume_24h / 6
|
|
||||||
metrics["volume_4h_multiple"] = round(metrics["volume_4h_avg"] / daily_avg_4h, 2)
|
|
||||||
|
|
||||||
return metrics
|
|
||||||
|
|
||||||
|
|
||||||
def enrich_candidates_and_positions(global_candidates, candidate_layers, positions_view, tickers, ex):
|
|
||||||
symbols = set()
|
|
||||||
for c in global_candidates:
|
|
||||||
symbols.add(c["symbol"])
|
|
||||||
for p in positions_view:
|
|
||||||
sym = p.get("symbol")
|
|
||||||
if sym:
|
|
||||||
sym_ccxt = norm_symbol(sym)
|
|
||||||
symbols.add(sym_ccxt)
|
|
||||||
|
|
||||||
ohlcv_1h = fetch_ohlcv_batch(ex, symbols, "1h", 24)
|
|
||||||
ohlcv_4h = fetch_ohlcv_batch(ex, symbols, "4h", 12)
|
|
||||||
|
|
||||||
def _apply(target_list):
|
|
||||||
for item in target_list:
|
|
||||||
sym = item.get("symbol")
|
|
||||||
if not sym:
|
|
||||||
continue
|
|
||||||
sym_ccxt = norm_symbol(sym)
|
|
||||||
v24h = to_float(tickers.get(sym_ccxt, {}).get("quoteVolume"))
|
|
||||||
metrics = compute_ohlcv_metrics(
|
|
||||||
ohlcv_1h.get(sym_ccxt),
|
|
||||||
ohlcv_4h.get(sym_ccxt),
|
|
||||||
item.get("price") or item.get("last_price"),
|
|
||||||
volume_24h=v24h,
|
|
||||||
)
|
|
||||||
item["metrics"] = metrics
|
|
||||||
|
|
||||||
_apply(global_candidates)
|
|
||||||
for band_list in candidate_layers.values():
|
|
||||||
_apply(band_list)
|
|
||||||
_apply(positions_view)
|
|
||||||
return global_candidates, candidate_layers, positions_view
|
|
||||||
|
|
||||||
|
|
||||||
def regime_from_pct(pct: float | None) -> str:
|
|
||||||
if pct is None:
|
|
||||||
return "unknown"
|
|
||||||
if pct >= 2.0:
|
|
||||||
return "bullish"
|
|
||||||
if pct <= -2.0:
|
|
||||||
return "bearish"
|
|
||||||
return "neutral"
|
|
||||||
|
|
||||||
|
|
||||||
def to_float(value, default=0.0):
|
|
||||||
try:
|
|
||||||
if value is None:
|
|
||||||
return default
|
|
||||||
return float(value)
|
|
||||||
except Exception:
|
|
||||||
return default
|
|
||||||
|
|
||||||
|
|
||||||
def norm_symbol(symbol: str) -> str:
|
|
||||||
s = symbol.upper().replace("-", "").replace("_", "")
|
|
||||||
if "/" in s:
|
|
||||||
return s
|
|
||||||
if s.endswith("USDT"):
|
|
||||||
return s[:-4] + "/USDT"
|
|
||||||
return s
|
|
||||||
|
|
||||||
|
|
||||||
def get_local_now(config: dict):
|
|
||||||
tz_name = config.get("timezone") or "Asia/Shanghai"
|
|
||||||
try:
|
|
||||||
tz = ZoneInfo(tz_name)
|
|
||||||
except Exception:
|
|
||||||
tz = ZoneInfo("Asia/Shanghai")
|
|
||||||
tz_name = "Asia/Shanghai"
|
|
||||||
return utc_now().astimezone(tz), tz_name
|
|
||||||
|
|
||||||
|
|
||||||
def session_label(local_dt: datetime) -> str:
|
|
||||||
hour = local_dt.hour
|
|
||||||
if 0 <= hour < 7:
|
|
||||||
return "overnight"
|
|
||||||
if 7 <= hour < 12:
|
|
||||||
return "asia-morning"
|
|
||||||
if 12 <= hour < 17:
|
|
||||||
return "asia-afternoon"
|
|
||||||
if 17 <= hour < 21:
|
|
||||||
return "europe-open"
|
|
||||||
return "us-session"
|
|
||||||
|
|
||||||
|
|
||||||
def _liquidity_score(volume: float) -> float:
|
|
||||||
return min(1.0, max(0.0, volume / 50_000_000))
|
|
||||||
|
|
||||||
|
|
||||||
def _breakout_score(price: float, avg_price: float | None) -> float:
|
|
||||||
if not avg_price or avg_price <= 0:
|
|
||||||
return 0.0
|
|
||||||
return (price - avg_price) / avg_price
|
|
||||||
|
|
||||||
|
|
||||||
def top_candidates_from_tickers(tickers: dict):
|
|
||||||
candidates = []
|
|
||||||
for symbol, ticker in tickers.items():
|
|
||||||
if not symbol.endswith("/USDT"):
|
|
||||||
continue
|
|
||||||
base = symbol.replace("/USDT", "")
|
|
||||||
if base in BLACKLIST:
|
|
||||||
continue
|
|
||||||
if not re.fullmatch(r"[A-Z0-9]{2,20}", base):
|
|
||||||
continue
|
|
||||||
price = to_float(ticker.get("last"))
|
|
||||||
change_pct = to_float(ticker.get("percentage"))
|
|
||||||
volume = to_float(ticker.get("quoteVolume"))
|
|
||||||
high = to_float(ticker.get("high"))
|
|
||||||
low = to_float(ticker.get("low"))
|
|
||||||
avg_price = to_float(ticker.get("average"), None)
|
|
||||||
if price <= 0:
|
|
||||||
continue
|
|
||||||
if MAX_PRICE_CAP is not None and price > MAX_PRICE_CAP:
|
|
||||||
continue
|
|
||||||
if volume < 500_000:
|
|
||||||
continue
|
|
||||||
if change_pct < MIN_CHANGE_PCT:
|
|
||||||
continue
|
|
||||||
momentum = change_pct / 10.0
|
|
||||||
liquidity = _liquidity_score(volume)
|
|
||||||
breakout = _breakout_score(price, avg_price)
|
|
||||||
score = round(momentum * 0.5 + liquidity * 0.3 + breakout * 0.2, 4)
|
|
||||||
band = "major" if price >= 10 else "mid" if price >= 1 else "meme"
|
|
||||||
distance_from_high = (high - price) / max(high, 1e-9) if high else None
|
|
||||||
candidates.append({
|
|
||||||
"symbol": symbol,
|
|
||||||
"base": base,
|
|
||||||
"price": round(price, 8),
|
|
||||||
"change_24h_pct": round(change_pct, 2),
|
|
||||||
"volume_24h": round(volume, 2),
|
|
||||||
"breakout_pct": round(breakout * 100, 2),
|
|
||||||
"high_24h": round(high, 8) if high else None,
|
|
||||||
"low_24h": round(low, 8) if low else None,
|
|
||||||
"distance_from_high_pct": round(distance_from_high * 100, 2) if distance_from_high is not None else None,
|
|
||||||
"score": score,
|
|
||||||
"band": band,
|
|
||||||
})
|
|
||||||
candidates.sort(key=lambda x: x["score"], reverse=True)
|
|
||||||
global_top = candidates[:TOP_CANDIDATES]
|
|
||||||
layers = {"major": [], "mid": [], "meme": []}
|
|
||||||
for c in candidates:
|
|
||||||
layers[c["band"]].append(c)
|
|
||||||
for k in layers:
|
|
||||||
layers[k] = layers[k][:5]
|
|
||||||
return global_top, layers
|
|
||||||
|
|
||||||
|
|
||||||
def build_snapshot():
|
|
||||||
config = load_config()
|
|
||||||
local_dt, tz_name = get_local_now(config)
|
|
||||||
ex = get_exchange()
|
|
||||||
positions = load_positions()
|
|
||||||
tickers = ex.fetch_tickers()
|
|
||||||
balances = ex.fetch_balance()["free"]
|
|
||||||
free_usdt = to_float(balances.get("USDT"))
|
|
||||||
|
|
||||||
positions_view = []
|
|
||||||
total_position_value = 0.0
|
|
||||||
largest_position_value = 0.0
|
|
||||||
actionable_positions = 0
|
|
||||||
for pos in positions:
|
|
||||||
symbol = pos.get("symbol") or ""
|
|
||||||
sym_ccxt = norm_symbol(symbol)
|
|
||||||
ticker = tickers.get(sym_ccxt, {})
|
|
||||||
last = to_float(ticker.get("last"), None)
|
|
||||||
qty = to_float(pos.get("quantity"))
|
|
||||||
avg_cost = to_float(pos.get("avg_cost"), None)
|
|
||||||
value = round(qty * last, 4) if last is not None else None
|
|
||||||
pnl_pct = round((last - avg_cost) / avg_cost, 4) if last is not None and avg_cost else None
|
|
||||||
high = to_float(ticker.get("high"))
|
|
||||||
low = to_float(ticker.get("low"))
|
|
||||||
distance_from_high = (high - last) / max(high, 1e-9) if high and last else None
|
|
||||||
if value is not None:
|
|
||||||
total_position_value += value
|
|
||||||
largest_position_value = max(largest_position_value, value)
|
|
||||||
if value >= MIN_REAL_POSITION_VALUE_USDT:
|
|
||||||
actionable_positions += 1
|
|
||||||
positions_view.append({
|
|
||||||
"symbol": symbol,
|
|
||||||
"base_asset": pos.get("base_asset"),
|
|
||||||
"quantity": qty,
|
|
||||||
"avg_cost": avg_cost,
|
|
||||||
"last_price": last,
|
|
||||||
"market_value_usdt": value,
|
|
||||||
"pnl_pct": pnl_pct,
|
|
||||||
"high_24h": round(high, 8) if high else None,
|
|
||||||
"low_24h": round(low, 8) if low else None,
|
|
||||||
"distance_from_high_pct": round(distance_from_high * 100, 2) if distance_from_high is not None else None,
|
|
||||||
})
|
|
||||||
|
|
||||||
btc_pct = to_float((tickers.get("BTC/USDT") or {}).get("percentage"), None)
|
|
||||||
eth_pct = to_float((tickers.get("ETH/USDT") or {}).get("percentage"), None)
|
|
||||||
global_candidates, candidate_layers = top_candidates_from_tickers(tickers)
|
|
||||||
global_candidates, candidate_layers, positions_view = enrich_candidates_and_positions(
|
|
||||||
global_candidates, candidate_layers, positions_view, tickers, ex
|
|
||||||
)
|
|
||||||
leader_score = global_candidates[0]["score"] if global_candidates else 0.0
|
|
||||||
portfolio_value = round(free_usdt + total_position_value, 4)
|
|
||||||
volatility_score = round(max(abs(to_float(btc_pct, 0)), abs(to_float(eth_pct, 0))), 2)
|
|
||||||
|
|
||||||
position_structure = [
|
|
||||||
{
|
|
||||||
"symbol": p.get("symbol"),
|
|
||||||
"base_asset": p.get("base_asset"),
|
|
||||||
"quantity": round(to_float(p.get("quantity"), 0), 10),
|
|
||||||
"avg_cost": to_float(p.get("avg_cost"), None),
|
|
||||||
}
|
|
||||||
for p in positions_view
|
|
||||||
]
|
|
||||||
|
|
||||||
snapshot = {
|
|
||||||
"generated_at": utc_iso(),
|
|
||||||
"timezone": tz_name,
|
|
||||||
"local_time": local_dt.isoformat(),
|
|
||||||
"session": session_label(local_dt),
|
|
||||||
"free_usdt": round(free_usdt, 4),
|
|
||||||
"portfolio_value_usdt": portfolio_value,
|
|
||||||
"largest_position_value_usdt": round(largest_position_value, 4),
|
|
||||||
"actionable_positions": actionable_positions,
|
|
||||||
"positions": positions_view,
|
|
||||||
"positions_hash": stable_hash(position_structure),
|
|
||||||
"top_candidates": global_candidates,
|
|
||||||
"top_candidates_layers": candidate_layers,
|
|
||||||
"candidates_hash": stable_hash({"global": global_candidates, "layers": candidate_layers}),
|
|
||||||
"market_regime": {
|
|
||||||
"btc_24h_pct": round(btc_pct, 2) if btc_pct is not None else None,
|
|
||||||
"btc_regime": regime_from_pct(btc_pct),
|
|
||||||
"eth_24h_pct": round(eth_pct, 2) if eth_pct is not None else None,
|
|
||||||
"eth_regime": regime_from_pct(eth_pct),
|
|
||||||
"volatility_score": volatility_score,
|
|
||||||
"leader_score": round(leader_score, 4),
|
|
||||||
},
|
|
||||||
}
|
|
||||||
snapshot["snapshot_hash"] = stable_hash({
|
|
||||||
"portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
|
||||||
"positions_hash": snapshot["positions_hash"],
|
|
||||||
"candidates_hash": snapshot["candidates_hash"],
|
|
||||||
"market_regime": snapshot["market_regime"],
|
|
||||||
"session": snapshot["session"],
|
|
||||||
})
|
|
||||||
return snapshot
|
|
||||||
|
|
||||||
|
|
||||||
def build_adaptive_profile(snapshot: dict):
|
|
||||||
portfolio_value = snapshot.get("portfolio_value_usdt", 0)
|
|
||||||
free_usdt = snapshot.get("free_usdt", 0)
|
|
||||||
session = snapshot.get("session")
|
|
||||||
market = snapshot.get("market_regime", {})
|
|
||||||
volatility_score = to_float(market.get("volatility_score"), 0)
|
|
||||||
leader_score = to_float(market.get("leader_score"), 0)
|
|
||||||
actionable_positions = int(snapshot.get("actionable_positions") or 0)
|
|
||||||
largest_position_value = to_float(snapshot.get("largest_position_value_usdt"), 0)
|
|
||||||
|
|
||||||
capital_band = "micro" if portfolio_value < 25 else "small" if portfolio_value < 100 else "normal"
|
|
||||||
session_mode = "quiet" if session in {"overnight", "asia-morning"} else "active"
|
|
||||||
volatility_mode = "high" if volatility_score >= 2.5 or leader_score >= 120 else "normal"
|
|
||||||
dust_mode = free_usdt < MIN_ACTIONABLE_USDT and largest_position_value < MIN_REAL_POSITION_VALUE_USDT
|
|
||||||
|
|
||||||
price_trigger = BASE_PRICE_MOVE_TRIGGER_PCT
|
|
||||||
pnl_trigger = BASE_PNL_TRIGGER_PCT
|
|
||||||
portfolio_trigger = BASE_PORTFOLIO_MOVE_TRIGGER_PCT
|
|
||||||
candidate_ratio = BASE_CANDIDATE_SCORE_TRIGGER_RATIO
|
|
||||||
force_minutes = BASE_FORCE_ANALYSIS_AFTER_MINUTES
|
|
||||||
cooldown_minutes = BASE_COOLDOWN_MINUTES
|
|
||||||
soft_score_threshold = 2.0
|
|
||||||
|
|
||||||
if capital_band == "micro":
|
|
||||||
price_trigger += 0.02
|
|
||||||
pnl_trigger += 0.03
|
|
||||||
portfolio_trigger += 0.04
|
|
||||||
candidate_ratio += 0.25
|
|
||||||
force_minutes += 180
|
|
||||||
cooldown_minutes += 30
|
|
||||||
soft_score_threshold += 1.0
|
|
||||||
elif capital_band == "small":
|
|
||||||
price_trigger += 0.01
|
|
||||||
pnl_trigger += 0.01
|
|
||||||
portfolio_trigger += 0.01
|
|
||||||
candidate_ratio += 0.1
|
|
||||||
force_minutes += 60
|
|
||||||
cooldown_minutes += 10
|
|
||||||
soft_score_threshold += 0.5
|
|
||||||
|
|
||||||
if session_mode == "quiet":
|
|
||||||
price_trigger += 0.01
|
|
||||||
pnl_trigger += 0.01
|
|
||||||
portfolio_trigger += 0.01
|
|
||||||
candidate_ratio += 0.05
|
|
||||||
soft_score_threshold += 0.5
|
|
||||||
else:
|
|
||||||
force_minutes = max(120, force_minutes - 30)
|
|
||||||
|
|
||||||
if volatility_mode == "high":
|
|
||||||
price_trigger = max(0.02, price_trigger - 0.01)
|
|
||||||
pnl_trigger = max(0.025, pnl_trigger - 0.005)
|
|
||||||
portfolio_trigger = max(0.025, portfolio_trigger - 0.005)
|
|
||||||
candidate_ratio = max(1.1, candidate_ratio - 0.1)
|
|
||||||
cooldown_minutes = max(20, cooldown_minutes - 10)
|
|
||||||
soft_score_threshold = max(1.0, soft_score_threshold - 0.5)
|
|
||||||
|
|
||||||
if dust_mode:
|
|
||||||
candidate_ratio += 0.3
|
|
||||||
force_minutes += 180
|
|
||||||
cooldown_minutes += 30
|
|
||||||
soft_score_threshold += 1.5
|
|
||||||
|
|
||||||
return {
|
|
||||||
"capital_band": capital_band,
|
|
||||||
"session_mode": session_mode,
|
|
||||||
"volatility_mode": volatility_mode,
|
|
||||||
"dust_mode": dust_mode,
|
|
||||||
"price_move_trigger_pct": round(price_trigger, 4),
|
|
||||||
"pnl_trigger_pct": round(pnl_trigger, 4),
|
|
||||||
"portfolio_move_trigger_pct": round(portfolio_trigger, 4),
|
|
||||||
"candidate_score_trigger_ratio": round(candidate_ratio, 4),
|
|
||||||
"force_analysis_after_minutes": int(force_minutes),
|
|
||||||
"cooldown_minutes": int(cooldown_minutes),
|
|
||||||
"soft_score_threshold": round(soft_score_threshold, 2),
|
|
||||||
"new_entries_allowed": free_usdt >= MIN_ACTIONABLE_USDT and not dust_mode,
|
|
||||||
"switching_allowed": actionable_positions > 0 or portfolio_value >= 25,
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
__all__ = sorted(set(_MODULE_MAP) | {"main"})
|
||||||
def _candidate_weight(snapshot: dict, profile: dict) -> float:
|
|
||||||
if not profile.get("new_entries_allowed"):
|
|
||||||
return 0.5
|
|
||||||
if profile.get("volatility_mode") == "high":
|
|
||||||
return 1.5
|
|
||||||
if snapshot.get("session") in {"europe-open", "us-session"}:
|
|
||||||
return 1.25
|
|
||||||
return 1.0
|
|
||||||
|
|
||||||
|
|
||||||
def analyze_trigger(snapshot: dict, state: dict):
|
def __getattr__(name: str):
|
||||||
reasons = []
|
if name not in _MODULE_MAP:
|
||||||
details = list(state.get("_stale_recovery_notes", []))
|
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
|
||||||
hard_reasons = []
|
module_name = _MODULE_MAP[name]
|
||||||
soft_reasons = []
|
module = import_module(module_name, __package__)
|
||||||
soft_score = 0.0
|
return getattr(module, name)
|
||||||
|
|
||||||
profile = build_adaptive_profile(snapshot)
|
|
||||||
market = snapshot.get("market_regime", {})
|
|
||||||
now = utc_now()
|
|
||||||
|
|
||||||
last_positions_hash = state.get("last_positions_hash")
|
|
||||||
last_portfolio_value = state.get("last_portfolio_value_usdt")
|
|
||||||
last_market_regime = state.get("last_market_regime", {})
|
|
||||||
last_positions_map = state.get("last_positions_map", {})
|
|
||||||
last_top_candidate = state.get("last_top_candidate")
|
|
||||||
pending_trigger = bool(state.get("pending_trigger"))
|
|
||||||
run_requested_at = parse_ts(state.get("run_requested_at"))
|
|
||||||
last_deep_analysis_at = parse_ts(state.get("last_deep_analysis_at"))
|
|
||||||
last_triggered_at = parse_ts(state.get("last_triggered_at"))
|
|
||||||
last_trigger_snapshot_hash = state.get("last_trigger_snapshot_hash")
|
|
||||||
last_hard_reasons_at = state.get("last_hard_reasons_at", {})
|
|
||||||
|
|
||||||
price_trigger = profile["price_move_trigger_pct"]
|
|
||||||
pnl_trigger = profile["pnl_trigger_pct"]
|
|
||||||
portfolio_trigger = profile["portfolio_move_trigger_pct"]
|
|
||||||
candidate_ratio_trigger = profile["candidate_score_trigger_ratio"]
|
|
||||||
force_minutes = profile["force_analysis_after_minutes"]
|
|
||||||
cooldown_minutes = profile["cooldown_minutes"]
|
|
||||||
soft_score_threshold = profile["soft_score_threshold"]
|
|
||||||
|
|
||||||
if pending_trigger:
|
|
||||||
reasons.append("pending-trigger-unacked")
|
|
||||||
hard_reasons.append("pending-trigger-unacked")
|
|
||||||
details.append("上次已触发深度分析但尚未确认完成")
|
|
||||||
if run_requested_at:
|
|
||||||
details.append(f"外部门控已在 {run_requested_at.isoformat()} 请求运行分析任务")
|
|
||||||
|
|
||||||
if not last_deep_analysis_at:
|
|
||||||
reasons.append("first-analysis")
|
|
||||||
hard_reasons.append("first-analysis")
|
|
||||||
details.append("尚未记录过深度分析")
|
|
||||||
elif now - last_deep_analysis_at >= timedelta(minutes=force_minutes):
|
|
||||||
reasons.append("stale-analysis")
|
|
||||||
hard_reasons.append("stale-analysis")
|
|
||||||
details.append(f"距离上次深度分析已超过 {force_minutes} 分钟")
|
|
||||||
|
|
||||||
if last_positions_hash and snapshot["positions_hash"] != last_positions_hash:
|
|
||||||
reasons.append("positions-changed")
|
|
||||||
hard_reasons.append("positions-changed")
|
|
||||||
details.append("持仓结构发生变化")
|
|
||||||
|
|
||||||
if last_portfolio_value not in (None, 0):
|
|
||||||
portfolio_delta = abs(snapshot["portfolio_value_usdt"] - last_portfolio_value) / max(last_portfolio_value, 1e-9)
|
|
||||||
if portfolio_delta >= portfolio_trigger:
|
|
||||||
if portfolio_delta >= 1.0:
|
|
||||||
reasons.append("portfolio-extreme-move")
|
|
||||||
hard_reasons.append("portfolio-extreme-move")
|
|
||||||
details.append(f"组合净值剧烈变化 {portfolio_delta:.1%}，超过 100%，视为硬触发")
|
|
||||||
else:
|
|
||||||
reasons.append("portfolio-move")
|
|
||||||
soft_reasons.append("portfolio-move")
|
|
||||||
soft_score += 1.0
|
|
||||||
details.append(f"组合净值变化 {portfolio_delta:.1%}，阈值 {portfolio_trigger:.1%}")
|
|
||||||
|
|
||||||
for pos in snapshot["positions"]:
|
|
||||||
symbol = pos["symbol"]
|
|
||||||
prev = last_positions_map.get(symbol, {})
|
|
||||||
cur_price = pos.get("last_price")
|
|
||||||
prev_price = prev.get("last_price")
|
|
||||||
cur_pnl = pos.get("pnl_pct")
|
|
||||||
prev_pnl = prev.get("pnl_pct")
|
|
||||||
market_value = to_float(pos.get("market_value_usdt"), 0)
|
|
||||||
actionable_position = market_value >= MIN_REAL_POSITION_VALUE_USDT
|
|
||||||
|
|
||||||
if cur_price and prev_price:
|
|
||||||
price_move = abs(cur_price - prev_price) / max(prev_price, 1e-9)
|
|
||||||
if price_move >= price_trigger:
|
|
||||||
reasons.append(f"price-move:{symbol}")
|
|
||||||
soft_reasons.append(f"price-move:{symbol}")
|
|
||||||
soft_score += 1.0 if actionable_position else 0.4
|
|
||||||
details.append(f"{symbol} 价格变化 {price_move:.1%}，阈值 {price_trigger:.1%}")
|
|
||||||
if cur_pnl is not None and prev_pnl is not None:
|
|
||||||
pnl_move = abs(cur_pnl - prev_pnl)
|
|
||||||
if pnl_move >= pnl_trigger:
|
|
||||||
reasons.append(f"pnl-move:{symbol}")
|
|
||||||
soft_reasons.append(f"pnl-move:{symbol}")
|
|
||||||
soft_score += 1.0 if actionable_position else 0.4
|
|
||||||
details.append(f"{symbol} 盈亏变化 {pnl_move:.1%}，阈值 {pnl_trigger:.1%}")
|
|
||||||
if cur_pnl is not None:
|
|
||||||
stop_band = -0.06 if actionable_position else -0.12
|
|
||||||
take_band = 0.14 if actionable_position else 0.25
|
|
||||||
if cur_pnl <= stop_band or cur_pnl >= take_band:
|
|
||||||
reasons.append(f"risk-band:{symbol}")
|
|
||||||
hard_reasons.append(f"risk-band:{symbol}")
|
|
||||||
details.append(f"{symbol} 接近执行阈值，当前盈亏 {cur_pnl:.1%}")
|
|
||||||
if cur_pnl <= HARD_STOP_PCT:
|
|
||||||
reasons.append(f"hard-stop:{symbol}")
|
|
||||||
hard_reasons.append(f"hard-stop:{symbol}")
|
|
||||||
details.append(f"{symbol} 盈亏超过 {HARD_STOP_PCT:.1%}，触发紧急硬触发")
|
|
||||||
|
|
||||||
current_market = snapshot.get("market_regime", {})
|
|
||||||
if last_market_regime:
|
|
||||||
if current_market.get("btc_regime") != last_market_regime.get("btc_regime"):
|
|
||||||
reasons.append("btc-regime-change")
|
|
||||||
hard_reasons.append("btc-regime-change")
|
|
||||||
details.append(f"BTC 由 {last_market_regime.get('btc_regime')} 切换为 {current_market.get('btc_regime')}")
|
|
||||||
if current_market.get("eth_regime") != last_market_regime.get("eth_regime"):
|
|
||||||
reasons.append("eth-regime-change")
|
|
||||||
hard_reasons.append("eth-regime-change")
|
|
||||||
details.append(f"ETH 由 {last_market_regime.get('eth_regime')} 切换为 {current_market.get('eth_regime')}")
|
|
||||||
|
|
||||||
for cand in snapshot.get("top_candidates", []):
|
|
||||||
if cand.get("change_24h_pct", 0) >= HARD_MOON_PCT * 100:
|
|
||||||
reasons.append(f"hard-moon:{cand['symbol']}")
|
|
||||||
hard_reasons.append(f"hard-moon:{cand['symbol']}")
|
|
||||||
details.append(f"候选币 {cand['symbol']} 24h 涨幅 {cand['change_24h_pct']:.1f}%，触发强势硬触发")
|
|
||||||
|
|
||||||
candidate_weight = _candidate_weight(snapshot, profile)
|
|
||||||
|
|
||||||
last_layers = state.get("last_candidates_layers", {})
|
|
||||||
current_layers = snapshot.get("top_candidates_layers", {})
|
|
||||||
for band in ("major", "mid", "meme"):
|
|
||||||
cur_band = current_layers.get(band, [])
|
|
||||||
prev_band = last_layers.get(band, [])
|
|
||||||
cur_leader = cur_band[0] if cur_band else None
|
|
||||||
prev_leader = prev_band[0] if prev_band else None
|
|
||||||
if cur_leader and prev_leader and cur_leader["symbol"] != prev_leader["symbol"]:
|
|
||||||
score_ratio = cur_leader.get("score", 0) / max(prev_leader.get("score", 0.0001), 0.0001)
|
|
||||||
if score_ratio >= candidate_ratio_trigger:
|
|
||||||
reasons.append(f"new-leader-{band}:{cur_leader['symbol']}")
|
|
||||||
soft_reasons.append(f"new-leader-{band}:{cur_leader['symbol']}")
|
|
||||||
soft_score += candidate_weight * 0.7
|
|
||||||
details.append(
|
|
||||||
f"{band} 层新榜首 {cur_leader['symbol']} 替代 {prev_leader['symbol']}，score 比例 {score_ratio:.2f}"
|
|
||||||
)
|
|
||||||
|
|
||||||
current_leader = snapshot.get("top_candidates", [{}])[0] if snapshot.get("top_candidates") else None
|
|
||||||
if last_top_candidate and current_leader:
|
|
||||||
if current_leader.get("symbol") != last_top_candidate.get("symbol"):
|
|
||||||
score_ratio = current_leader.get("score", 0) / max(last_top_candidate.get("score", 0.0001), 0.0001)
|
|
||||||
if score_ratio >= candidate_ratio_trigger:
|
|
||||||
reasons.append("new-leader")
|
|
||||||
soft_reasons.append("new-leader")
|
|
||||||
soft_score += candidate_weight
|
|
||||||
details.append(
|
|
||||||
f"新候选币 {current_leader.get('symbol')} 领先上次榜首，score 比例 {score_ratio:.2f}，阈值 {candidate_ratio_trigger:.2f}"
|
|
||||||
)
|
|
||||||
elif current_leader and not last_top_candidate:
|
|
||||||
reasons.append("candidate-leader-init")
|
|
||||||
soft_reasons.append("candidate-leader-init")
|
|
||||||
soft_score += candidate_weight
|
|
||||||
details.append(f"首次记录候选榜首 {current_leader.get('symbol')}")
|
|
||||||
|
|
||||||
def _signal_delta() -> float:
|
|
||||||
delta = 0.0
|
|
||||||
if last_trigger_snapshot_hash and snapshot.get("snapshot_hash") != last_trigger_snapshot_hash:
|
|
||||||
delta += 0.5
|
|
||||||
if snapshot["positions_hash"] != last_positions_hash:
|
|
||||||
delta += 1.5
|
|
||||||
for pos in snapshot["positions"]:
|
|
||||||
symbol = pos["symbol"]
|
|
||||||
prev = last_positions_map.get(symbol, {})
|
|
||||||
cur_price = pos.get("last_price")
|
|
||||||
prev_price = prev.get("last_price")
|
|
||||||
cur_pnl = pos.get("pnl_pct")
|
|
||||||
prev_pnl = prev.get("pnl_pct")
|
|
||||||
if cur_price and prev_price and abs(cur_price - prev_price) / max(prev_price, 1e-9) >= 0.02:
|
|
||||||
delta += 0.5
|
|
||||||
if cur_pnl is not None and prev_pnl is not None and abs(cur_pnl - prev_pnl) >= 0.03:
|
|
||||||
delta += 0.5
|
|
||||||
last_leader = state.get("last_top_candidate")
|
|
||||||
if current_leader and last_leader and current_leader.get("symbol") != last_leader.get("symbol"):
|
|
||||||
delta += 1.0
|
|
||||||
for band in ("major", "mid", "meme"):
|
|
||||||
cur_band = current_layers.get(band, [])
|
|
||||||
prev_band = last_layers.get(band, [])
|
|
||||||
cur_l = cur_band[0] if cur_band else None
|
|
||||||
prev_l = prev_band[0] if prev_band else None
|
|
||||||
if cur_l and prev_l and cur_l.get("symbol") != prev_l.get("symbol"):
|
|
||||||
delta += 0.5
|
|
||||||
if last_market_regime:
|
|
||||||
if current_market.get("btc_regime") != last_market_regime.get("btc_regime"):
|
|
||||||
delta += 1.5
|
|
||||||
if current_market.get("eth_regime") != last_market_regime.get("eth_regime"):
|
|
||||||
delta += 1.5
|
|
||||||
if last_portfolio_value not in (None, 0):
|
|
||||||
portfolio_delta = abs(snapshot["portfolio_value_usdt"] - last_portfolio_value) / max(last_portfolio_value, 1e-9)
|
|
||||||
if portfolio_delta >= 0.05:
|
|
||||||
delta += 1.0
|
|
||||||
last_trigger_hard_types = {r.split(":")[0] for r in (state.get("last_trigger_hard_reasons") or [])}
|
|
||||||
current_hard_types = {r.split(":")[0] for r in hard_reasons}
|
|
||||||
if current_hard_types - last_trigger_hard_types:
|
|
||||||
delta += 2.0
|
|
||||||
return delta
|
|
||||||
|
|
||||||
signal_delta = _signal_delta()
|
|
||||||
effective_cooldown = cooldown_minutes
|
|
||||||
if signal_delta < 1.0:
|
|
||||||
effective_cooldown = max(cooldown_minutes, 90)
|
|
||||||
elif signal_delta >= 2.5:
|
|
||||||
effective_cooldown = max(0, cooldown_minutes - 15)
|
|
||||||
|
|
||||||
cooldown_active = bool(last_triggered_at and now - last_triggered_at < timedelta(minutes=effective_cooldown))
|
|
||||||
|
|
||||||
dedup_window = timedelta(minutes=HARD_REASON_DEDUP_MINUTES)
|
|
||||||
for hr in list(hard_reasons):
|
|
||||||
last_at = parse_ts(last_hard_reasons_at.get(hr))
|
|
||||||
if last_at and now - last_at < dedup_window:
|
|
||||||
hard_reasons.remove(hr)
|
|
||||||
details.append(f"{hr} 近期已触发，{HARD_REASON_DEDUP_MINUTES}分钟内去重")
|
|
||||||
|
|
||||||
hard_trigger = bool(hard_reasons)
|
|
||||||
if profile.get("dust_mode") and not hard_trigger and soft_score < soft_score_threshold + 1.0:
|
|
||||||
details.append("微型资金/粉尘仓位模式：抬高软触发门槛，避免无意义分析")
|
|
||||||
|
|
||||||
if profile.get("dust_mode") and not profile.get("new_entries_allowed") and any(
|
|
||||||
r in {"new-leader", "candidate-leader-init"} for r in soft_reasons
|
|
||||||
):
|
|
||||||
details.append("当前可用资金低于可执行阈值，新候选币仅做观察，不单独触发深度分析")
|
|
||||||
soft_score = max(0.0, soft_score - 0.75)
|
|
||||||
|
|
||||||
should_analyze = hard_trigger or soft_score >= soft_score_threshold
|
|
||||||
|
|
||||||
if cooldown_active and not hard_trigger and should_analyze:
|
|
||||||
should_analyze = False
|
|
||||||
details.append(f"处于 {cooldown_minutes} 分钟冷却窗口，软触发先记录不升级")
|
|
||||||
|
|
||||||
if cooldown_active and not hard_trigger and reasons and soft_score < soft_score_threshold:
|
|
||||||
details.append(f"处于 {cooldown_minutes} 分钟冷却窗口，且软信号强度不足 ({soft_score:.2f} < {soft_score_threshold:.2f})")
|
|
||||||
|
|
||||||
status = "deep_analysis_required" if should_analyze else "stable"
|
|
||||||
|
|
||||||
compact_lines = [
|
|
||||||
f"状态: {status}",
|
|
||||||
f"组合净值: ${snapshot['portfolio_value_usdt']:.4f} | 可用USDT: ${snapshot['free_usdt']:.4f}",
|
|
||||||
f"本地时段: {snapshot['session']} | 时区: {snapshot['timezone']}",
|
|
||||||
f"BTC/ETH: {market.get('btc_regime')} ({market.get('btc_24h_pct')}%), {market.get('eth_regime')} ({market.get('eth_24h_pct')}%) | 波动分数 {market.get('volatility_score')}",
|
|
||||||
f"门控画像: capital={profile['capital_band']}, session={profile['session_mode']}, volatility={profile['volatility_mode']}, dust={profile['dust_mode']}",
|
|
||||||
f"阈值: price={price_trigger:.1%}, pnl={pnl_trigger:.1%}, portfolio={portfolio_trigger:.1%}, candidate={candidate_ratio_trigger:.2f}, cooldown={effective_cooldown}m({cooldown_minutes}m基础), force={force_minutes}m",
|
|
||||||
f"软信号分: {soft_score:.2f} / {soft_score_threshold:.2f}",
|
|
||||||
f"信号变化度: {signal_delta:.1f}",
|
|
||||||
]
|
|
||||||
if snapshot["positions"]:
|
|
||||||
compact_lines.append("持仓:")
|
|
||||||
for pos in snapshot["positions"][:4]:
|
|
||||||
pnl = pos.get("pnl_pct")
|
|
||||||
pnl_text = f"{pnl:+.1%}" if pnl is not None else "n/a"
|
|
||||||
compact_lines.append(
|
|
||||||
f"- {pos['symbol']}: qty={pos['quantity']}, px={pos.get('last_price')}, pnl={pnl_text}, value=${pos.get('market_value_usdt')}"
|
|
||||||
)
|
|
||||||
else:
|
|
||||||
compact_lines.append("持仓: 当前无现货仓位")
|
|
||||||
if snapshot["top_candidates"]:
|
|
||||||
compact_lines.append("候选榜:")
|
|
||||||
for cand in snapshot["top_candidates"]:
|
|
||||||
compact_lines.append(
|
|
||||||
f"- {cand['symbol']}: score={cand['score']}, 24h={cand['change_24h_pct']}%, vol=${cand['volume_24h']}"
|
|
||||||
)
|
|
||||||
layers = snapshot.get("top_candidates_layers", {})
|
|
||||||
for band, band_cands in layers.items():
|
|
||||||
if band_cands:
|
|
||||||
compact_lines.append(f"{band} 层:")
|
|
||||||
for cand in band_cands:
|
|
||||||
compact_lines.append(
|
|
||||||
f"- {cand['symbol']}: score={cand['score']}, 24h={cand['change_24h_pct']}%, vol=${cand['volume_24h']}"
|
|
||||||
)
|
|
||||||
if details:
|
|
||||||
compact_lines.append("触发说明:")
|
|
||||||
for item in details:
|
|
||||||
compact_lines.append(f"- {item}")
|
|
||||||
|
|
||||||
return {
|
|
||||||
"generated_at": snapshot["generated_at"],
|
|
||||||
"status": status,
|
|
||||||
"should_analyze": should_analyze,
|
|
||||||
"pending_trigger": pending_trigger,
|
|
||||||
"run_requested": bool(run_requested_at),
|
|
||||||
"run_requested_at": run_requested_at.isoformat() if run_requested_at else None,
|
|
||||||
"cooldown_active": cooldown_active,
|
|
||||||
"effective_cooldown_minutes": effective_cooldown,
|
|
||||||
"signal_delta": round(signal_delta, 2),
|
|
||||||
"reasons": reasons,
|
|
||||||
"hard_reasons": hard_reasons,
|
|
||||||
"soft_reasons": soft_reasons,
|
|
||||||
"soft_score": round(soft_score, 3),
|
|
||||||
"adaptive_profile": profile,
|
|
||||||
"portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
|
||||||
"free_usdt": snapshot["free_usdt"],
|
|
||||||
"market_regime": snapshot["market_regime"],
|
|
||||||
"session": snapshot["session"],
|
|
||||||
"positions": snapshot["positions"],
|
|
||||||
"top_candidates": snapshot["top_candidates"],
|
|
||||||
"top_candidates_layers": layers,
|
|
||||||
"snapshot_hash": snapshot["snapshot_hash"],
|
|
||||||
"compact_summary": "\n".join(compact_lines),
|
|
||||||
"details": details,
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
def update_state_after_observation(state: dict, snapshot: dict, analysis: dict):
|
def __dir__():
|
||||||
new_state = dict(state)
|
return sorted(set(globals()) | set(__all__))
|
||||||
new_state.update({
|
|
||||||
"last_observed_at": snapshot["generated_at"],
|
|
||||||
"last_snapshot_hash": snapshot["snapshot_hash"],
|
|
||||||
"last_positions_hash": snapshot["positions_hash"],
|
|
||||||
"last_candidates_hash": snapshot["candidates_hash"],
|
|
||||||
"last_portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
|
||||||
"last_market_regime": snapshot["market_regime"],
|
|
||||||
"last_positions_map": {
|
|
||||||
p["symbol"]: {"last_price": p.get("last_price"), "pnl_pct": p.get("pnl_pct")}
|
|
||||||
for p in snapshot["positions"]
|
|
||||||
},
|
|
||||||
"last_top_candidate": snapshot["top_candidates"][0] if snapshot["top_candidates"] else None,
|
|
||||||
"last_candidates_layers": snapshot.get("top_candidates_layers", {}),
|
|
||||||
"last_adaptive_profile": analysis.get("adaptive_profile", {}),
|
|
||||||
})
|
|
||||||
if analysis["should_analyze"]:
|
|
||||||
new_state["pending_trigger"] = True
|
|
||||||
new_state["pending_reasons"] = analysis["details"]
|
|
||||||
new_state["last_triggered_at"] = snapshot["generated_at"]
|
|
||||||
new_state["last_trigger_snapshot_hash"] = snapshot["snapshot_hash"]
|
|
||||||
new_state["last_trigger_hard_reasons"] = analysis.get("hard_reasons", [])
|
|
||||||
new_state["last_trigger_signal_delta"] = analysis.get("signal_delta", 0.0)
|
|
||||||
|
|
||||||
last_hard_reasons_at = dict(state.get("last_hard_reasons_at", {}))
|
|
||||||
for hr in analysis.get("hard_reasons", []):
|
def main():
|
||||||
last_hard_reasons_at[hr] = snapshot["generated_at"]
|
from .precheck_service import run as _run_service
|
||||||
cutoff = utc_now() - timedelta(hours=24)
|
import sys
|
||||||
pruned = {k: v for k, v in last_hard_reasons_at.items() if parse_ts(v) and parse_ts(v) > cutoff}
|
return _run_service(sys.argv[1:])
|
||||||
new_state["last_hard_reasons_at"] = pruned
|
|
||||||
return new_state
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
raise SystemExit(main())
|
||||||
|
|||||||
@@ -2,8 +2,4 @@
|
|||||||
|
|
||||||
from __future__ import annotations
|
from __future__ import annotations
|
||||||
|
|
||||||
from . import precheck_core
|
from .snapshot_builder import build_snapshot
|
||||||
|
|
||||||
|
|
||||||
def build_snapshot() -> dict:
|
|
||||||
return precheck_core.build_snapshot()
|
|
||||||
|
|||||||
@@ -4,28 +4,18 @@ from __future__ import annotations
|
|||||||
|
|
||||||
import json
|
import json
|
||||||
|
|
||||||
from . import precheck_core
|
from .state_manager import (
|
||||||
|
load_state,
|
||||||
|
sanitize_state_for_stale_triggers,
|
||||||
def load_state() -> dict:
|
save_state,
|
||||||
return precheck_core.load_state()
|
update_state_after_observation,
|
||||||
|
)
|
||||||
|
from .time_utils import utc_iso
|
||||||
def save_state(state: dict) -> None:
|
|
||||||
precheck_core.save_state(state)
|
|
||||||
|
|
||||||
|
|
||||||
def sanitize_state_for_stale_triggers(state: dict) -> dict:
|
|
||||||
return precheck_core.sanitize_state_for_stale_triggers(state)
|
|
||||||
|
|
||||||
|
|
||||||
def update_state_after_observation(state: dict, snapshot: dict, analysis: dict) -> dict:
|
|
||||||
return precheck_core.update_state_after_observation(state, snapshot, analysis)
|
|
||||||
|
|
||||||
|
|
||||||
def mark_run_requested(note: str = "") -> dict:
|
def mark_run_requested(note: str = "") -> dict:
|
||||||
state = load_state()
|
state = load_state()
|
||||||
state["run_requested_at"] = precheck_core.utc_iso()
|
state["run_requested_at"] = utc_iso()
|
||||||
state["run_request_note"] = note
|
state["run_request_note"] = note
|
||||||
save_state(state)
|
save_state(state)
|
||||||
payload = {"ok": True, "run_requested_at": state["run_requested_at"], "note": note}
|
payload = {"ok": True, "run_requested_at": state["run_requested_at"], "note": note}
|
||||||
@@ -35,7 +25,7 @@ def mark_run_requested(note: str = "") -> dict:
|
|||||||
|
|
||||||
def ack_analysis(note: str = "") -> dict:
|
def ack_analysis(note: str = "") -> dict:
|
||||||
state = load_state()
|
state = load_state()
|
||||||
state["last_deep_analysis_at"] = precheck_core.utc_iso()
|
state["last_deep_analysis_at"] = utc_iso()
|
||||||
state["pending_trigger"] = False
|
state["pending_trigger"] = False
|
||||||
state["pending_reasons"] = []
|
state["pending_reasons"] = []
|
||||||
state["last_ack_note"] = note
|
state["last_ack_note"] = note
|
||||||
|
|||||||
110
src/coinhunter/services/snapshot_builder.py
Normal file
110
src/coinhunter/services/snapshot_builder.py
Normal file
@@ -0,0 +1,110 @@
|
|||||||
|
"""Snapshot construction for precheck."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from .candidate_scoring import top_candidates_from_tickers
|
||||||
|
from .data_utils import norm_symbol, stable_hash, to_float
|
||||||
|
from .market_data import enrich_candidates_and_positions, get_exchange, regime_from_pct
|
||||||
|
from .precheck_constants import MIN_ACTIONABLE_USDT, MIN_REAL_POSITION_VALUE_USDT
|
||||||
|
from .state_manager import load_config, load_positions
|
||||||
|
from .time_utils import get_local_now, utc_iso
|
||||||
|
|
||||||
|
|
||||||
|
def build_snapshot():
|
||||||
|
config = load_config()
|
||||||
|
local_dt, tz_name = get_local_now(config)
|
||||||
|
ex = get_exchange()
|
||||||
|
positions = load_positions()
|
||||||
|
tickers = ex.fetch_tickers()
|
||||||
|
balances = ex.fetch_balance()["free"]
|
||||||
|
free_usdt = to_float(balances.get("USDT"))
|
||||||
|
|
||||||
|
positions_view = []
|
||||||
|
total_position_value = 0.0
|
||||||
|
largest_position_value = 0.0
|
||||||
|
actionable_positions = 0
|
||||||
|
for pos in positions:
|
||||||
|
symbol = pos.get("symbol") or ""
|
||||||
|
sym_ccxt = norm_symbol(symbol)
|
||||||
|
ticker = tickers.get(sym_ccxt, {})
|
||||||
|
last = to_float(ticker.get("last"), None)
|
||||||
|
qty = to_float(pos.get("quantity"))
|
||||||
|
avg_cost = to_float(pos.get("avg_cost"), None)
|
||||||
|
value = round(qty * last, 4) if last is not None else None
|
||||||
|
pnl_pct = round((last - avg_cost) / avg_cost, 4) if last is not None and avg_cost else None
|
||||||
|
high = to_float(ticker.get("high"))
|
||||||
|
low = to_float(ticker.get("low"))
|
||||||
|
distance_from_high = (high - last) / max(high, 1e-9) if high and last else None
|
||||||
|
if value is not None:
|
||||||
|
total_position_value += value
|
||||||
|
largest_position_value = max(largest_position_value, value)
|
||||||
|
if value >= MIN_REAL_POSITION_VALUE_USDT:
|
||||||
|
actionable_positions += 1
|
||||||
|
positions_view.append({
|
||||||
|
"symbol": symbol,
|
||||||
|
"base_asset": pos.get("base_asset"),
|
||||||
|
"quantity": qty,
|
||||||
|
"avg_cost": avg_cost,
|
||||||
|
"last_price": last,
|
||||||
|
"market_value_usdt": value,
|
||||||
|
"pnl_pct": pnl_pct,
|
||||||
|
"high_24h": round(high, 8) if high else None,
|
||||||
|
"low_24h": round(low, 8) if low else None,
|
||||||
|
"distance_from_high_pct": round(distance_from_high * 100, 2) if distance_from_high is not None else None,
|
||||||
|
})
|
||||||
|
|
||||||
|
btc_pct = to_float((tickers.get("BTC/USDT") or {}).get("percentage"), None)
|
||||||
|
eth_pct = to_float((tickers.get("ETH/USDT") or {}).get("percentage"), None)
|
||||||
|
global_candidates, candidate_layers = top_candidates_from_tickers(tickers)
|
||||||
|
global_candidates, candidate_layers, positions_view = enrich_candidates_and_positions(
|
||||||
|
global_candidates, candidate_layers, positions_view, tickers, ex
|
||||||
|
)
|
||||||
|
leader_score = global_candidates[0]["score"] if global_candidates else 0.0
|
||||||
|
portfolio_value = round(free_usdt + total_position_value, 4)
|
||||||
|
volatility_score = round(max(abs(to_float(btc_pct, 0)), abs(to_float(eth_pct, 0))), 2)
|
||||||
|
|
||||||
|
position_structure = [
|
||||||
|
{
|
||||||
|
"symbol": p.get("symbol"),
|
||||||
|
"base_asset": p.get("base_asset"),
|
||||||
|
"quantity": round(to_float(p.get("quantity"), 0), 10),
|
||||||
|
"avg_cost": to_float(p.get("avg_cost"), None),
|
||||||
|
}
|
||||||
|
for p in positions_view
|
||||||
|
]
|
||||||
|
|
||||||
|
snapshot = {
|
||||||
|
"generated_at": utc_iso(),
|
||||||
|
"timezone": tz_name,
|
||||||
|
"local_time": local_dt.isoformat(),
|
||||||
|
"session": get_local_now(config)[0] if False else None, # will be replaced below
|
||||||
|
"free_usdt": round(free_usdt, 4),
|
||||||
|
"portfolio_value_usdt": portfolio_value,
|
||||||
|
"largest_position_value_usdt": round(largest_position_value, 4),
|
||||||
|
"actionable_positions": actionable_positions,
|
||||||
|
"positions": positions_view,
|
||||||
|
"positions_hash": stable_hash(position_structure),
|
||||||
|
"top_candidates": global_candidates,
|
||||||
|
"top_candidates_layers": candidate_layers,
|
||||||
|
"candidates_hash": stable_hash({"global": global_candidates, "layers": candidate_layers}),
|
||||||
|
"market_regime": {
|
||||||
|
"btc_24h_pct": round(btc_pct, 2) if btc_pct is not None else None,
|
||||||
|
"btc_regime": regime_from_pct(btc_pct),
|
||||||
|
"eth_24h_pct": round(eth_pct, 2) if eth_pct is not None else None,
|
||||||
|
"eth_regime": regime_from_pct(eth_pct),
|
||||||
|
"volatility_score": volatility_score,
|
||||||
|
"leader_score": round(leader_score, 4),
|
||||||
|
},
|
||||||
|
}
|
||||||
|
# fix session after the fact to avoid re-fetching config
|
||||||
|
snapshot["session"] = None
|
||||||
|
from .time_utils import session_label
|
||||||
|
snapshot["session"] = session_label(local_dt)
|
||||||
|
snapshot["snapshot_hash"] = stable_hash({
|
||||||
|
"portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
||||||
|
"positions_hash": snapshot["positions_hash"],
|
||||||
|
"candidates_hash": snapshot["candidates_hash"],
|
||||||
|
"market_regime": snapshot["market_regime"],
|
||||||
|
"session": snapshot["session"],
|
||||||
|
})
|
||||||
|
return snapshot
|
||||||
128
src/coinhunter/services/state_manager.py
Normal file
128
src/coinhunter/services/state_manager.py
Normal file
@@ -0,0 +1,128 @@
|
|||||||
|
"""State management for precheck workflows."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from datetime import timedelta
|
||||||
|
|
||||||
|
from ..runtime import load_env_file
|
||||||
|
from .data_utils import load_json
|
||||||
|
from .precheck_constants import (
|
||||||
|
CONFIG_FILE,
|
||||||
|
ENV_FILE,
|
||||||
|
MAX_PENDING_TRIGGER_MINUTES,
|
||||||
|
MAX_RUN_REQUEST_MINUTES,
|
||||||
|
POSITIONS_FILE,
|
||||||
|
STATE_DIR,
|
||||||
|
STATE_FILE,
|
||||||
|
)
|
||||||
|
from .time_utils import parse_ts, utc_iso, utc_now
|
||||||
|
|
||||||
|
|
||||||
|
def load_env() -> None:
|
||||||
|
load_env_file()
|
||||||
|
|
||||||
|
|
||||||
|
def load_positions():
|
||||||
|
return load_json(POSITIONS_FILE, {}).get("positions", [])
|
||||||
|
|
||||||
|
|
||||||
|
def load_state():
|
||||||
|
return load_json(STATE_FILE, {})
|
||||||
|
|
||||||
|
|
||||||
|
def load_config():
|
||||||
|
return load_json(CONFIG_FILE, {})
|
||||||
|
|
||||||
|
|
||||||
|
def clear_run_request_fields(state: dict):
|
||||||
|
state.pop("run_requested_at", None)
|
||||||
|
state.pop("run_request_note", None)
|
||||||
|
|
||||||
|
|
||||||
|
def sanitize_state_for_stale_triggers(state: dict):
|
||||||
|
sanitized = dict(state)
|
||||||
|
notes = []
|
||||||
|
now = utc_now()
|
||||||
|
run_requested_at = parse_ts(sanitized.get("run_requested_at"))
|
||||||
|
last_deep_analysis_at = parse_ts(sanitized.get("last_deep_analysis_at"))
|
||||||
|
last_triggered_at = parse_ts(sanitized.get("last_triggered_at"))
|
||||||
|
pending_trigger = bool(sanitized.get("pending_trigger"))
|
||||||
|
|
||||||
|
if run_requested_at and last_deep_analysis_at and last_deep_analysis_at >= run_requested_at:
|
||||||
|
clear_run_request_fields(sanitized)
|
||||||
|
if pending_trigger and (not last_triggered_at or last_deep_analysis_at >= last_triggered_at):
|
||||||
|
sanitized["pending_trigger"] = False
|
||||||
|
sanitized["pending_reasons"] = []
|
||||||
|
sanitized["last_ack_note"] = (
|
||||||
|
f"auto-cleared completed trigger at {utc_iso()} because last_deep_analysis_at >= run_requested_at"
|
||||||
|
)
|
||||||
|
pending_trigger = False
|
||||||
|
notes.append(
|
||||||
|
f"自动清理已完成的 run_requested 标记：最近深度分析时间 {last_deep_analysis_at.isoformat()} >= 请求时间 {run_requested_at.isoformat()}"
|
||||||
|
)
|
||||||
|
run_requested_at = None
|
||||||
|
|
||||||
|
if run_requested_at and now - run_requested_at > timedelta(minutes=MAX_RUN_REQUEST_MINUTES):
|
||||||
|
clear_run_request_fields(sanitized)
|
||||||
|
notes.append(
|
||||||
|
f"自动清理超时 run_requested 标记：已等待 {(now - run_requested_at).total_seconds() / 60:.1f} 分钟，超过 {MAX_RUN_REQUEST_MINUTES} 分钟"
|
||||||
|
)
|
||||||
|
run_requested_at = None
|
||||||
|
|
||||||
|
pending_anchor = run_requested_at or last_triggered_at or last_deep_analysis_at
|
||||||
|
if pending_trigger and pending_anchor and now - pending_anchor > timedelta(minutes=MAX_PENDING_TRIGGER_MINUTES):
|
||||||
|
sanitized["pending_trigger"] = False
|
||||||
|
sanitized["pending_reasons"] = []
|
||||||
|
sanitized["last_ack_note"] = (
|
||||||
|
f"auto-recovered stale pending trigger at {utc_iso()} after waiting "
|
||||||
|
f"{(now - pending_anchor).total_seconds() / 60:.1f} minutes"
|
||||||
|
)
|
||||||
|
notes.append(
|
||||||
|
f"自动解除 pending_trigger：触发状态已悬挂 {(now - pending_anchor).total_seconds() / 60:.1f} 分钟，超过 {MAX_PENDING_TRIGGER_MINUTES} 分钟"
|
||||||
|
)
|
||||||
|
|
||||||
|
sanitized["_stale_recovery_notes"] = notes
|
||||||
|
return sanitized
|
||||||
|
|
||||||
|
|
||||||
|
def save_state(state: dict):
|
||||||
|
import json
|
||||||
|
|
||||||
|
STATE_DIR.mkdir(parents=True, exist_ok=True)
|
||||||
|
state_to_save = dict(state)
|
||||||
|
state_to_save.pop("_stale_recovery_notes", None)
|
||||||
|
STATE_FILE.write_text(json.dumps(state_to_save, indent=2, ensure_ascii=False), encoding="utf-8")
|
||||||
|
|
||||||
|
|
||||||
|
def update_state_after_observation(state: dict, snapshot: dict, analysis: dict):
|
||||||
|
new_state = dict(state)
|
||||||
|
new_state.update({
|
||||||
|
"last_observed_at": snapshot["generated_at"],
|
||||||
|
"last_snapshot_hash": snapshot["snapshot_hash"],
|
||||||
|
"last_positions_hash": snapshot["positions_hash"],
|
||||||
|
"last_candidates_hash": snapshot["candidates_hash"],
|
||||||
|
"last_portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
||||||
|
"last_market_regime": snapshot["market_regime"],
|
||||||
|
"last_positions_map": {
|
||||||
|
p["symbol"]: {"last_price": p.get("last_price"), "pnl_pct": p.get("pnl_pct")}
|
||||||
|
for p in snapshot["positions"]
|
||||||
|
},
|
||||||
|
"last_top_candidate": snapshot["top_candidates"][0] if snapshot["top_candidates"] else None,
|
||||||
|
"last_candidates_layers": snapshot.get("top_candidates_layers", {}),
|
||||||
|
"last_adaptive_profile": analysis.get("adaptive_profile", {}),
|
||||||
|
})
|
||||||
|
if analysis["should_analyze"]:
|
||||||
|
new_state["pending_trigger"] = True
|
||||||
|
new_state["pending_reasons"] = analysis["details"]
|
||||||
|
new_state["last_triggered_at"] = snapshot["generated_at"]
|
||||||
|
new_state["last_trigger_snapshot_hash"] = snapshot["snapshot_hash"]
|
||||||
|
new_state["last_trigger_hard_reasons"] = analysis.get("hard_reasons", [])
|
||||||
|
new_state["last_trigger_signal_delta"] = analysis.get("signal_delta", 0.0)
|
||||||
|
|
||||||
|
last_hard_reasons_at = dict(state.get("last_hard_reasons_at", {}))
|
||||||
|
for hr in analysis.get("hard_reasons", []):
|
||||||
|
last_hard_reasons_at[hr] = snapshot["generated_at"]
|
||||||
|
cutoff = utc_now() - timedelta(hours=24)
|
||||||
|
pruned = {k: v for k, v in last_hard_reasons_at.items() if parse_ts(v) and parse_ts(v) > cutoff}
|
||||||
|
new_state["last_hard_reasons_at"] = pruned
|
||||||
|
return new_state
|
||||||
49
src/coinhunter/services/time_utils.py
Normal file
49
src/coinhunter/services/time_utils.py
Normal file
@@ -0,0 +1,49 @@
|
|||||||
|
"""Time utilities for precheck."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from datetime import datetime, timedelta, timezone
|
||||||
|
from zoneinfo import ZoneInfo
|
||||||
|
|
||||||
|
|
||||||
|
def utc_now() -> datetime:
|
||||||
|
return datetime.now(timezone.utc)
|
||||||
|
|
||||||
|
|
||||||
|
def utc_iso() -> str:
|
||||||
|
return utc_now().isoformat()
|
||||||
|
|
||||||
|
|
||||||
|
def parse_ts(value: str | None) -> datetime | None:
|
||||||
|
if not value:
|
||||||
|
return None
|
||||||
|
try:
|
||||||
|
ts = datetime.fromisoformat(value)
|
||||||
|
if ts.tzinfo is None:
|
||||||
|
ts = ts.replace(tzinfo=timezone.utc)
|
||||||
|
return ts
|
||||||
|
except Exception:
|
||||||
|
return None
|
||||||
|
|
||||||
|
|
||||||
|
def get_local_now(config: dict) -> tuple[datetime, str]:
|
||||||
|
tz_name = config.get("timezone") or "Asia/Shanghai"
|
||||||
|
try:
|
||||||
|
tz = ZoneInfo(tz_name)
|
||||||
|
except Exception:
|
||||||
|
tz = ZoneInfo("Asia/Shanghai")
|
||||||
|
tz_name = "Asia/Shanghai"
|
||||||
|
return utc_now().astimezone(tz), tz_name
|
||||||
|
|
||||||
|
|
||||||
|
def session_label(local_dt: datetime) -> str:
|
||||||
|
hour = local_dt.hour
|
||||||
|
if 0 <= hour < 7:
|
||||||
|
return "overnight"
|
||||||
|
if 7 <= hour < 12:
|
||||||
|
return "asia-morning"
|
||||||
|
if 12 <= hour < 17:
|
||||||
|
return "asia-afternoon"
|
||||||
|
if 17 <= hour < 21:
|
||||||
|
return "europe-open"
|
||||||
|
return "us-session"
|
||||||
317
src/coinhunter/services/trigger_analyzer.py
Normal file
317
src/coinhunter/services/trigger_analyzer.py
Normal file
@@ -0,0 +1,317 @@
|
|||||||
|
"""Trigger analysis logic for precheck."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from datetime import timedelta
|
||||||
|
|
||||||
|
from .adaptive_profile import _candidate_weight, build_adaptive_profile
|
||||||
|
from .data_utils import to_float
|
||||||
|
from .precheck_constants import (
|
||||||
|
HARD_MOON_PCT,
|
||||||
|
HARD_REASON_DEDUP_MINUTES,
|
||||||
|
HARD_STOP_PCT,
|
||||||
|
MAX_PENDING_TRIGGER_MINUTES,
|
||||||
|
MAX_RUN_REQUEST_MINUTES,
|
||||||
|
MIN_REAL_POSITION_VALUE_USDT,
|
||||||
|
)
|
||||||
|
from .time_utils import parse_ts, utc_iso, utc_now
|
||||||
|
|
||||||
|
|
||||||
|
def analyze_trigger(snapshot: dict, state: dict):
|
||||||
|
reasons = []
|
||||||
|
details = list(state.get("_stale_recovery_notes", []))
|
||||||
|
hard_reasons = []
|
||||||
|
soft_reasons = []
|
||||||
|
soft_score = 0.0
|
||||||
|
|
||||||
|
profile = build_adaptive_profile(snapshot)
|
||||||
|
market = snapshot.get("market_regime", {})
|
||||||
|
now = utc_now()
|
||||||
|
|
||||||
|
last_positions_hash = state.get("last_positions_hash")
|
||||||
|
last_portfolio_value = state.get("last_portfolio_value_usdt")
|
||||||
|
last_market_regime = state.get("last_market_regime", {})
|
||||||
|
last_positions_map = state.get("last_positions_map", {})
|
||||||
|
last_top_candidate = state.get("last_top_candidate")
|
||||||
|
pending_trigger = bool(state.get("pending_trigger"))
|
||||||
|
run_requested_at = parse_ts(state.get("run_requested_at"))
|
||||||
|
last_deep_analysis_at = parse_ts(state.get("last_deep_analysis_at"))
|
||||||
|
last_triggered_at = parse_ts(state.get("last_triggered_at"))
|
||||||
|
last_trigger_snapshot_hash = state.get("last_trigger_snapshot_hash")
|
||||||
|
last_hard_reasons_at = state.get("last_hard_reasons_at", {})
|
||||||
|
|
||||||
|
price_trigger = profile["price_move_trigger_pct"]
|
||||||
|
pnl_trigger = profile["pnl_trigger_pct"]
|
||||||
|
portfolio_trigger = profile["portfolio_move_trigger_pct"]
|
||||||
|
candidate_ratio_trigger = profile["candidate_score_trigger_ratio"]
|
||||||
|
force_minutes = profile["force_analysis_after_minutes"]
|
||||||
|
cooldown_minutes = profile["cooldown_minutes"]
|
||||||
|
soft_score_threshold = profile["soft_score_threshold"]
|
||||||
|
|
||||||
|
if pending_trigger:
|
||||||
|
reasons.append("pending-trigger-unacked")
|
||||||
|
hard_reasons.append("pending-trigger-unacked")
|
||||||
|
details.append("上次已触发深度分析但尚未确认完成")
|
||||||
|
if run_requested_at:
|
||||||
|
details.append(f"外部门控已在 {run_requested_at.isoformat()} 请求运行分析任务")
|
||||||
|
|
||||||
|
if not last_deep_analysis_at:
|
||||||
|
reasons.append("first-analysis")
|
||||||
|
hard_reasons.append("first-analysis")
|
||||||
|
details.append("尚未记录过深度分析")
|
||||||
|
elif now - last_deep_analysis_at >= timedelta(minutes=force_minutes):
|
||||||
|
reasons.append("stale-analysis")
|
||||||
|
hard_reasons.append("stale-analysis")
|
||||||
|
details.append(f"距离上次深度分析已超过 {force_minutes} 分钟")
|
||||||
|
|
||||||
|
if last_positions_hash and snapshot["positions_hash"] != last_positions_hash:
|
||||||
|
reasons.append("positions-changed")
|
||||||
|
hard_reasons.append("positions-changed")
|
||||||
|
details.append("持仓结构发生变化")
|
||||||
|
|
||||||
|
if last_portfolio_value not in (None, 0):
|
||||||
|
portfolio_delta = abs(snapshot["portfolio_value_usdt"] - last_portfolio_value) / max(last_portfolio_value, 1e-9)
|
||||||
|
if portfolio_delta >= portfolio_trigger:
|
||||||
|
if portfolio_delta >= 1.0:
|
||||||
|
reasons.append("portfolio-extreme-move")
|
||||||
|
hard_reasons.append("portfolio-extreme-move")
|
||||||
|
details.append(f"组合净值剧烈变化 {portfolio_delta:.1%}，超过 100%，视为硬触发")
|
||||||
|
else:
|
||||||
|
reasons.append("portfolio-move")
|
||||||
|
soft_reasons.append("portfolio-move")
|
||||||
|
soft_score += 1.0
|
||||||
|
details.append(f"组合净值变化 {portfolio_delta:.1%}，阈值 {portfolio_trigger:.1%}")
|
||||||
|
|
||||||
|
for pos in snapshot["positions"]:
|
||||||
|
symbol = pos["symbol"]
|
||||||
|
prev = last_positions_map.get(symbol, {})
|
||||||
|
cur_price = pos.get("last_price")
|
||||||
|
prev_price = prev.get("last_price")
|
||||||
|
cur_pnl = pos.get("pnl_pct")
|
||||||
|
prev_pnl = prev.get("pnl_pct")
|
||||||
|
market_value = to_float(pos.get("market_value_usdt"), 0)
|
||||||
|
actionable_position = market_value >= MIN_REAL_POSITION_VALUE_USDT
|
||||||
|
|
||||||
|
if cur_price and prev_price:
|
||||||
|
price_move = abs(cur_price - prev_price) / max(prev_price, 1e-9)
|
||||||
|
if price_move >= price_trigger:
|
||||||
|
reasons.append(f"price-move:{symbol}")
|
||||||
|
soft_reasons.append(f"price-move:{symbol}")
|
||||||
|
soft_score += 1.0 if actionable_position else 0.4
|
||||||
|
details.append(f"{symbol} 价格变化 {price_move:.1%}，阈值 {price_trigger:.1%}")
|
||||||
|
if cur_pnl is not None and prev_pnl is not None:
|
||||||
|
pnl_move = abs(cur_pnl - prev_pnl)
|
||||||
|
if pnl_move >= pnl_trigger:
|
||||||
|
reasons.append(f"pnl-move:{symbol}")
|
||||||
|
soft_reasons.append(f"pnl-move:{symbol}")
|
||||||
|
soft_score += 1.0 if actionable_position else 0.4
|
||||||
|
details.append(f"{symbol} 盈亏变化 {pnl_move:.1%}，阈值 {pnl_trigger:.1%}")
|
||||||
|
if cur_pnl is not None:
|
||||||
|
stop_band = -0.06 if actionable_position else -0.12
|
||||||
|
take_band = 0.14 if actionable_position else 0.25
|
||||||
|
if cur_pnl <= stop_band or cur_pnl >= take_band:
|
||||||
|
reasons.append(f"risk-band:{symbol}")
|
||||||
|
hard_reasons.append(f"risk-band:{symbol}")
|
||||||
|
details.append(f"{symbol} 接近执行阈值，当前盈亏 {cur_pnl:.1%}")
|
||||||
|
if cur_pnl <= HARD_STOP_PCT:
|
||||||
|
reasons.append(f"hard-stop:{symbol}")
|
||||||
|
hard_reasons.append(f"hard-stop:{symbol}")
|
||||||
|
details.append(f"{symbol} 盈亏超过 {HARD_STOP_PCT:.1%}，触发紧急硬触发")
|
||||||
|
|
||||||
|
current_market = snapshot.get("market_regime", {})
|
||||||
|
if last_market_regime:
|
||||||
|
if current_market.get("btc_regime") != last_market_regime.get("btc_regime"):
|
||||||
|
reasons.append("btc-regime-change")
|
||||||
|
hard_reasons.append("btc-regime-change")
|
||||||
|
details.append(f"BTC 由 {last_market_regime.get('btc_regime')} 切换为 {current_market.get('btc_regime')}")
|
||||||
|
if current_market.get("eth_regime") != last_market_regime.get("eth_regime"):
|
||||||
|
reasons.append("eth-regime-change")
|
||||||
|
hard_reasons.append("eth-regime-change")
|
||||||
|
details.append(f"ETH 由 {last_market_regime.get('eth_regime')} 切换为 {current_market.get('eth_regime')}")
|
||||||
|
|
||||||
|
for cand in snapshot.get("top_candidates", []):
|
||||||
|
if cand.get("change_24h_pct", 0) >= HARD_MOON_PCT * 100:
|
||||||
|
reasons.append(f"hard-moon:{cand['symbol']}")
|
||||||
|
hard_reasons.append(f"hard-moon:{cand['symbol']}")
|
||||||
|
details.append(f"候选币 {cand['symbol']} 24h 涨幅 {cand['change_24h_pct']:.1f}%，触发强势硬触发")
|
||||||
|
|
||||||
|
candidate_weight = _candidate_weight(snapshot, profile)
|
||||||
|
|
||||||
|
last_layers = state.get("last_candidates_layers", {})
|
||||||
|
current_layers = snapshot.get("top_candidates_layers", {})
|
||||||
|
for band in ("major", "mid", "meme"):
|
||||||
|
cur_band = current_layers.get(band, [])
|
||||||
|
prev_band = last_layers.get(band, [])
|
||||||
|
cur_leader = cur_band[0] if cur_band else None
|
||||||
|
prev_leader = prev_band[0] if prev_band else None
|
||||||
|
if cur_leader and prev_leader and cur_leader["symbol"] != prev_leader["symbol"]:
|
||||||
|
score_ratio = cur_leader.get("score", 0) / max(prev_leader.get("score", 0.0001), 0.0001)
|
||||||
|
if score_ratio >= candidate_ratio_trigger:
|
||||||
|
reasons.append(f"new-leader-{band}:{cur_leader['symbol']}")
|
||||||
|
soft_reasons.append(f"new-leader-{band}:{cur_leader['symbol']}")
|
||||||
|
soft_score += candidate_weight * 0.7
|
||||||
|
details.append(
|
||||||
|
f"{band} 层新榜首 {cur_leader['symbol']} 替代 {prev_leader['symbol']}，score 比例 {score_ratio:.2f}"
|
||||||
|
)
|
||||||
|
|
||||||
|
current_leader = snapshot.get("top_candidates", [{}])[0] if snapshot.get("top_candidates") else None
|
||||||
|
if last_top_candidate and current_leader:
|
||||||
|
if current_leader.get("symbol") != last_top_candidate.get("symbol"):
|
||||||
|
score_ratio = current_leader.get("score", 0) / max(last_top_candidate.get("score", 0.0001), 0.0001)
|
||||||
|
if score_ratio >= candidate_ratio_trigger:
|
||||||
|
reasons.append("new-leader")
|
||||||
|
soft_reasons.append("new-leader")
|
||||||
|
soft_score += candidate_weight
|
||||||
|
details.append(
|
||||||
|
f"新候选币 {current_leader.get('symbol')} 领先上次榜首，score 比例 {score_ratio:.2f}，阈值 {candidate_ratio_trigger:.2f}"
|
||||||
|
)
|
||||||
|
elif current_leader and not last_top_candidate:
|
||||||
|
reasons.append("candidate-leader-init")
|
||||||
|
soft_reasons.append("candidate-leader-init")
|
||||||
|
soft_score += candidate_weight
|
||||||
|
details.append(f"首次记录候选榜首 {current_leader.get('symbol')}")
|
||||||
|
|
||||||
|
def _signal_delta() -> float:
|
||||||
|
delta = 0.0
|
||||||
|
if last_trigger_snapshot_hash and snapshot.get("snapshot_hash") != last_trigger_snapshot_hash:
|
||||||
|
delta += 0.5
|
||||||
|
if snapshot["positions_hash"] != last_positions_hash:
|
||||||
|
delta += 1.5
|
||||||
|
for pos in snapshot["positions"]:
|
||||||
|
symbol = pos["symbol"]
|
||||||
|
prev = last_positions_map.get(symbol, {})
|
||||||
|
cur_price = pos.get("last_price")
|
||||||
|
prev_price = prev.get("last_price")
|
||||||
|
cur_pnl = pos.get("pnl_pct")
|
||||||
|
prev_pnl = prev.get("pnl_pct")
|
||||||
|
if cur_price and prev_price and abs(cur_price - prev_price) / max(prev_price, 1e-9) >= 0.02:
|
||||||
|
delta += 0.5
|
||||||
|
if cur_pnl is not None and prev_pnl is not None and abs(cur_pnl - prev_pnl) >= 0.03:
|
||||||
|
delta += 0.5
|
||||||
|
last_leader = state.get("last_top_candidate")
|
||||||
|
if current_leader and last_leader and current_leader.get("symbol") != last_leader.get("symbol"):
|
||||||
|
delta += 1.0
|
||||||
|
for band in ("major", "mid", "meme"):
|
||||||
|
cur_band = current_layers.get(band, [])
|
||||||
|
prev_band = last_layers.get(band, [])
|
||||||
|
cur_l = cur_band[0] if cur_band else None
|
||||||
|
prev_l = prev_band[0] if prev_band else None
|
||||||
|
if cur_l and prev_l and cur_l.get("symbol") != prev_l.get("symbol"):
|
||||||
|
delta += 0.5
|
||||||
|
if last_market_regime:
|
||||||
|
if current_market.get("btc_regime") != last_market_regime.get("btc_regime"):
|
||||||
|
delta += 1.5
|
||||||
|
if current_market.get("eth_regime") != last_market_regime.get("eth_regime"):
|
||||||
|
delta += 1.5
|
||||||
|
if last_portfolio_value not in (None, 0):
|
||||||
|
portfolio_delta = abs(snapshot["portfolio_value_usdt"] - last_portfolio_value) / max(last_portfolio_value, 1e-9)
|
||||||
|
if portfolio_delta >= 0.05:
|
||||||
|
delta += 1.0
|
||||||
|
last_trigger_hard_types = {r.split(":")[0] for r in (state.get("last_trigger_hard_reasons") or [])}
|
||||||
|
current_hard_types = {r.split(":")[0] for r in hard_reasons}
|
||||||
|
if current_hard_types - last_trigger_hard_types:
|
||||||
|
delta += 2.0
|
||||||
|
return delta
|
||||||
|
|
||||||
|
signal_delta = _signal_delta()
|
||||||
|
effective_cooldown = cooldown_minutes
|
||||||
|
if signal_delta < 1.0:
|
||||||
|
effective_cooldown = max(cooldown_minutes, 90)
|
||||||
|
elif signal_delta >= 2.5:
|
||||||
|
effective_cooldown = max(0, cooldown_minutes - 15)
|
||||||
|
|
||||||
|
cooldown_active = bool(last_triggered_at and now - last_triggered_at < timedelta(minutes=effective_cooldown))
|
||||||
|
|
||||||
|
dedup_window = timedelta(minutes=HARD_REASON_DEDUP_MINUTES)
|
||||||
|
for hr in list(hard_reasons):
|
||||||
|
last_at = parse_ts(last_hard_reasons_at.get(hr))
|
||||||
|
if last_at and now - last_at < dedup_window:
|
||||||
|
hard_reasons.remove(hr)
|
||||||
|
details.append(f"{hr} 近期已触发，{HARD_REASON_DEDUP_MINUTES}分钟内去重")
|
||||||
|
|
||||||
|
hard_trigger = bool(hard_reasons)
|
||||||
|
if profile.get("dust_mode") and not hard_trigger and soft_score < soft_score_threshold + 1.0:
|
||||||
|
details.append("微型资金/粉尘仓位模式：抬高软触发门槛，避免无意义分析")
|
||||||
|
|
||||||
|
if profile.get("dust_mode") and not profile.get("new_entries_allowed") and any(
|
||||||
|
r in {"new-leader", "candidate-leader-init"} for r in soft_reasons
|
||||||
|
):
|
||||||
|
details.append("当前可用资金低于可执行阈值，新候选币仅做观察，不单独触发深度分析")
|
||||||
|
soft_score = max(0.0, soft_score - 0.75)
|
||||||
|
|
||||||
|
should_analyze = hard_trigger or soft_score >= soft_score_threshold
|
||||||
|
|
||||||
|
if cooldown_active and not hard_trigger and should_analyze:
|
||||||
|
should_analyze = False
|
||||||
|
details.append(f"处于 {cooldown_minutes} 分钟冷却窗口，软触发先记录不升级")
|
||||||
|
|
||||||
|
if cooldown_active and not hard_trigger and reasons and soft_score < soft_score_threshold:
|
||||||
|
details.append(f"处于 {cooldown_minutes} 分钟冷却窗口，且软信号强度不足 ({soft_score:.2f} < {soft_score_threshold:.2f})")
|
||||||
|
|
||||||
|
status = "deep_analysis_required" if should_analyze else "stable"
|
||||||
|
|
||||||
|
compact_lines = [
|
||||||
|
f"状态: {status}",
|
||||||
|
f"组合净值: ${snapshot['portfolio_value_usdt']:.4f} | 可用USDT: ${snapshot['free_usdt']:.4f}",
|
||||||
|
f"本地时段: {snapshot['session']} | 时区: {snapshot['timezone']}",
|
||||||
|
f"BTC/ETH: {market.get('btc_regime')} ({market.get('btc_24h_pct')}%), {market.get('eth_regime')} ({market.get('eth_24h_pct')}%) | 波动分数 {market.get('volatility_score')}",
|
||||||
|
f"门控画像: capital={profile['capital_band']}, session={profile['session_mode']}, volatility={profile['volatility_mode']}, dust={profile['dust_mode']}",
|
||||||
|
f"阈值: price={price_trigger:.1%}, pnl={pnl_trigger:.1%}, portfolio={portfolio_trigger:.1%}, candidate={candidate_ratio_trigger:.2f}, cooldown={effective_cooldown}m({cooldown_minutes}m基础), force={force_minutes}m",
|
||||||
|
f"软信号分: {soft_score:.2f} / {soft_score_threshold:.2f}",
|
||||||
|
f"信号变化度: {signal_delta:.1f}",
|
||||||
|
]
|
||||||
|
if snapshot["positions"]:
|
||||||
|
compact_lines.append("持仓:")
|
||||||
|
for pos in snapshot["positions"][:4]:
|
||||||
|
pnl = pos.get("pnl_pct")
|
||||||
|
pnl_text = f"{pnl:+.1%}" if pnl is not None else "n/a"
|
||||||
|
compact_lines.append(
|
||||||
|
f"- {pos['symbol']}: qty={pos['quantity']}, px={pos.get('last_price')}, pnl={pnl_text}, value=${pos.get('market_value_usdt')}"
|
||||||
|
)
|
||||||
|
else:
|
||||||
|
compact_lines.append("持仓: 当前无现货仓位")
|
||||||
|
if snapshot["top_candidates"]:
|
||||||
|
compact_lines.append("候选榜:")
|
||||||
|
for cand in snapshot["top_candidates"]:
|
||||||
|
compact_lines.append(
|
||||||
|
f"- {cand['symbol']}: score={cand['score']}, 24h={cand['change_24h_pct']}%, vol=${cand['volume_24h']}"
|
||||||
|
)
|
||||||
|
layers = snapshot.get("top_candidates_layers", {})
|
||||||
|
for band, band_cands in layers.items():
|
||||||
|
if band_cands:
|
||||||
|
compact_lines.append(f"{band} 层:")
|
||||||
|
for cand in band_cands:
|
||||||
|
compact_lines.append(
|
||||||
|
f"- {cand['symbol']}: score={cand['score']}, 24h={cand['change_24h_pct']}%, vol=${cand['volume_24h']}"
|
||||||
|
)
|
||||||
|
if details:
|
||||||
|
compact_lines.append("触发说明:")
|
||||||
|
for item in details:
|
||||||
|
compact_lines.append(f"- {item}")
|
||||||
|
|
||||||
|
return {
|
||||||
|
"generated_at": snapshot["generated_at"],
|
||||||
|
"status": status,
|
||||||
|
"should_analyze": should_analyze,
|
||||||
|
"pending_trigger": pending_trigger,
|
||||||
|
"run_requested": bool(run_requested_at),
|
||||||
|
"run_requested_at": run_requested_at.isoformat() if run_requested_at else None,
|
||||||
|
"cooldown_active": cooldown_active,
|
||||||
|
"effective_cooldown_minutes": effective_cooldown,
|
||||||
|
"signal_delta": round(signal_delta, 2),
|
||||||
|
"reasons": reasons,
|
||||||
|
"hard_reasons": hard_reasons,
|
||||||
|
"soft_reasons": soft_reasons,
|
||||||
|
"soft_score": round(soft_score, 3),
|
||||||
|
"adaptive_profile": profile,
|
||||||
|
"portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
||||||
|
"free_usdt": snapshot["free_usdt"],
|
||||||
|
"market_regime": snapshot["market_regime"],
|
||||||
|
"session": snapshot["session"],
|
||||||
|
"positions": snapshot["positions"],
|
||||||
|
"top_candidates": snapshot["top_candidates"],
|
||||||
|
"top_candidates_layers": layers,
|
||||||
|
"snapshot_hash": snapshot["snapshot_hash"],
|
||||||
|
"compact_summary": "\n".join(compact_lines),
|
||||||
|
"details": details,
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user