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aaron 2026-06-08 09:30:23 +08:00
parent 8ddcb08c79
commit 1c18f395cf
2 changed files with 33 additions and 9 deletions
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2
.env.example
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@ -38,7 +38,7 @@ ALPHAX_LLM_MAX_TOKENS=900
ALPHAX_LLM_RECOMMENDATIONS_ENABLED=1
ALPHAX_LLM_SENTIMENT_ENABLED=1
ALPHAX_LLM_REVIEW_ENABLED=1
ALPHAX_LLM_SENTIMENT_BATCH_MAX_EVENTS=12
ALPHAX_LLM_SENTIMENT_BATCH_MAX_EVENTS=40
# 策略交易挂单门控。wait_pullback 只是候选，必须通过这些条件才会创建挂单。
ALPHAX_PAPER_TRADING_MODE=intraday_trading

40
app/services/llm_insights.py
View File

@ -214,7 +214,10 @@ def _call_llm_json(prompt_version, payload):
},
{"role": "user", "content": user_prompt},
]
resp = _chat_completion_request(base_url, api_key, model, retry_messages, max_tokens, timeout, response_format=False, params=params)
retry_max_tokens = max_tokens
if "finish_reason" in error_text and "length" in error_text:
retry_max_tokens = min(max(max_tokens * 2, max_tokens + 1200), 8192)
resp = _chat_completion_request(base_url, api_key, model, retry_messages, retry_max_tokens, timeout, response_format=False, params=params)
result = _parse_llm_response(resp, model)
if result.get("status") == "success":
result["retry"] = "without_response_format"
@ -481,25 +484,42 @@ def _sentiment_event_rank(item):
def _compact_sentiment_batch_payload(payload, max_events=None):
"""Shrink noisy news/event rows before sending to the LLM."""
max_events = int(max_events or _env_int("ALPHAX_LLM_SENTIMENT_BATCH_MAX_EVENTS", 12) or 12)
max_events = int(max_events or _env_int("ALPHAX_LLM_SENTIMENT_BATCH_MAX_EVENTS", 40) or 40)
events = list((payload or {}).get("events") or [])
ranked = sorted(events, key=_sentiment_event_rank, reverse=True)
selected = []
seen = set()
for item in ranked:
title_key = " ".join(str(item.get("title") or "").lower().split())[:96]
symbol_key = str(item.get("related_symbol") or item.get("symbol") or item.get("related_base") or "").upper()
key = (title_key, symbol_key)
if key in seen:
continue
seen.add(key)
selected.append(item)
if len(selected) >= max(max_events, 1):
break
compact_events = []
for idx, item in enumerate(ranked[:max(max_events, 1)], start=1):
for idx, item in enumerate(selected, start=1):
compact_events.append({
"rank": idx,
"event_id": item.get("event_id"),
"source": item.get("source"),
"symbol": item.get("related_symbol") or item.get("symbol"),
"base": item.get("related_base"),
"title": str(item.get("title") or "")[:160],
"name": item.get("related_name"),
"title": str(item.get("title") or "")[:220],
"published_at": item.get("published_at"),
"detected_at": item.get("detected_at"),
"importance": item.get("importance"),
"event_type": item.get("event_type"),
"decision": item.get("decision"),
"tech_score": item.get("tech_score"),
"rec_id": item.get("rec_id"),
"pushed": bool(item.get("pushed", False)),
"trend_rank": item.get("trend_rank"),
"trend_score": item.get("trend_score"),
"market_cap_rank": item.get("market_cap_rank"),
"change_24h_pct": item.get("change_24h_pct"),
})
return {
@ -513,18 +533,22 @@ def _compact_sentiment_batch_payload(payload, max_events=None):
"instructions": {
"role": "作为加密市场舆情分析师，基于精简事件判断短线市场影响。",
"focus": [
"只提炼真正可能影响 Binance 山寨币交易决策的主题",
"给出受影响币种、方向、理由和置信度",
"综合更多新闻和事件，提炼当前 24h 市场主线、叙事扩散和风险偏好",
"给出受影响币种、方向、理由、置信度、影响窗口和是否值得技术检查",
"区分已经反映在价格里的旧消息、可继续观察的催化、以及需要规避的风险",
"建议要专业、可执行，但不要直接下真实买卖指令",
"标记是否需要进入技术检查",
"如果没有有效事件，也必须返回空数组和 neutral 结论",
],
"expected_schema": {
"market_mood": "risk_on|neutral|risk_off",
"summary": "中文摘要",
"professional_view": "更专业的市场解读，说明主线、资金偏好、潜在误判点",
"hot_themes": [{"theme": "", "impact": "", "symbols": [], "confidence": 0}],
"coin_impacts": [{"symbol": "", "direction": "positive|negative|risk|neutral", "reason": "", "confidence": 0, "need_technical_check": False}],
"coin_impacts": [{"symbol": "", "direction": "positive|negative|risk|neutral", "reason": "", "confidence": 0, "impact_window": "intraday|1-3d|3-7d", "need_technical_check": False}],
"risk_events": [{"title": "", "symbols": [], "risk_type": "", "severity": "low|medium|high"}],
"watchlist": [{"symbol": "", "why": "", "trigger": ""}],
"watchlist": [{"symbol": "", "why": "", "trigger": "", "invalid_if": ""}],
"suggestions": [{"type": "watch|avoid|verify", "symbol": "", "reason": "", "next_step": ""}],
},
},
}