Files
coinhunter-cli/src/coinhunter/services/trigger_analyzer.py
Tacit Lab a61c329496 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
2026-04-15 21:29:18 +08:00

318 lines
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"""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,
}