gavindiaz/DinQuant
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat: AI 即时分析计费/共识/校准与 Docker 前端构建

Browse Source 
- 即时分析：先扣费、防重入(429)、失败退款；记忆库与离线校准 worker
- 多周期共识、客观分与设置项 AI_ANALYSIS_CONSENSUS_TIMEFRAMES
- Docker：前端多阶段构建(QuantDinger-Vue-src)、根目录 .dockerignore、compose 调整
- 同步 frontend/dist 静态资源

Made-with: Cursor
This commit is contained in:
dinger
2026-03-20 21:08:26 +08:00
parent b91cfcc7fa
commit 9473e50d59
27 changed files with 1197 additions and 103 deletions
Download Patch File Download Diff File Expand all files Collapse all files
backend_api_python/app/services/analysis_memory.py
+133 -4
View File
@@ -67,6 +67,11 @@ class AnalysisMemory:
scores JSONB,
indicators_snapshot JSONB,
raw_result JSONB,
consensus_decision VARCHAR(10),
consensus_score DECIMAL(24, 8),
consensus_abs DECIMAL(24, 8),
agreement_ratio DECIMAL(10, 6),
quality_multiplier DECIMAL(10, 6),
created_at TIMESTAMP DEFAULT NOW(),
validated_at TIMESTAMP,
actual_outcome VARCHAR(20),
@@ -96,6 +101,42 @@ class AnalysisMemory:
) THEN
ALTER TABLE qd_analysis_memory ADD COLUMN raw_result JSONB;
END IF;
-- 添加多周期共识列（如果不存在）
IF NOT EXISTS (
SELECT 1 FROM information_schema.columns
WHERE table_name = 'qd_analysis_memory' AND column_name = 'consensus_decision'
) THEN
ALTER TABLE qd_analysis_memory ADD COLUMN consensus_decision VARCHAR(10);
END IF;
IF NOT EXISTS (
SELECT 1 FROM information_schema.columns
WHERE table_name = 'qd_analysis_memory' AND column_name = 'consensus_score'
) THEN
ALTER TABLE qd_analysis_memory ADD COLUMN consensus_score DECIMAL(24, 8);
END IF;
IF NOT EXISTS (
SELECT 1 FROM information_schema.columns
WHERE table_name = 'qd_analysis_memory' AND column_name = 'consensus_abs'
) THEN
ALTER TABLE qd_analysis_memory ADD COLUMN consensus_abs DECIMAL(24, 8);
END IF;
IF NOT EXISTS (
SELECT 1 FROM information_schema.columns
WHERE table_name = 'qd_analysis_memory' AND column_name = 'agreement_ratio'
) THEN
ALTER TABLE qd_analysis_memory ADD COLUMN agreement_ratio DECIMAL(10, 6);
END IF;
IF NOT EXISTS (
SELECT 1 FROM information_schema.columns
WHERE table_name = 'qd_analysis_memory' AND column_name = 'quality_multiplier'
) THEN
ALTER TABLE qd_analysis_memory ADD COLUMN quality_multiplier DECIMAL(10, 6);
END IF;
END $$;
""")
@@ -150,16 +191,26 @@ class AnalysisMemory:
scores = json.dumps(analysis_result.get("scores", {}))
indicators = json.dumps(analysis_result.get("indicators", {}))
raw = json.dumps(analysis_result)
consensus = analysis_result.get("consensus") or {}
consensus_decision = consensus.get("consensus_decision")
consensus_score = consensus.get("consensus_score")
consensus_abs = consensus.get("consensus_abs")
agreement_ratio = consensus.get("agreement_ratio")
quality_multiplier = consensus.get("quality_multiplier")
cur.execute("""
INSERT INTO qd_analysis_memory (
user_id, market, symbol, decision, confidence,
price_at_analysis, entry_price, stop_loss, take_profit,
summary, reasons, risks, scores, indicators_snapshot, raw_result
) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
summary, reasons, risks, scores, indicators_snapshot, raw_result,
consensus_decision, consensus_score, consensus_abs, agreement_ratio, quality_multiplier
) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,
%s, %s, %s, %s, %s)
RETURNING id
""", (user_id, market, symbol, decision, confidence, price, entry, stop, take,
summary, reasons, risks, scores, indicators, raw))
""", (user_id, market, symbol, decision, confidence, price, entry, stop, take,
summary, reasons, risks, scores, indicators, raw,
consensus_decision, consensus_score, consensus_abs, agreement_ratio, quality_multiplier))
# 使用 lastrowid 属性获取 ID（execute 内部已经处理了 RETURNING）
memory_id = cur.lastrowid
@@ -512,6 +563,84 @@ class AnalysisMemory:
logger.info(f"Validation completed: {stats}")
return stats
def validate_unvalidated_older_than(self, min_age_days: int = 7, limit: int = 200) -> Dict[str, Any]:
"""
Best-effort backfill:
Validate unvalidated decisions older than `min_age_days`.
This is used by offline AI calibration so the system can tune itself automatically.
"""
from app.services.market_data_collector import MarketDataCollector
collector = MarketDataCollector()
stats = {
"validated": 0,
"correct": 0,
"incorrect": 0,
"errors": 0,
}
try:
with get_db_connection() as db:
cur = db.cursor()
cur.execute(
f"""
SELECT id, market, symbol, decision, price_at_analysis
FROM qd_analysis_memory
WHERE validated_at IS NULL
AND created_at < NOW() - INTERVAL '{int(min_age_days)} days'
LIMIT {int(limit)}
"""
)
rows = cur.fetchall() or []
for row in rows:
try:
current_price = collector._get_price(row["market"], row["symbol"])
if not current_price or current_price <= 0:
continue
analysis_price = float(row.get("price_at_analysis") or 0.0)
if analysis_price <= 0:
continue
return_pct = ((float(current_price) - analysis_price) / analysis_price) * 100.0
decision = str(row.get("decision") or "HOLD")
was_correct = False
if decision == "BUY" and return_pct > 2:
was_correct = True
elif decision == "SELL" and return_pct < -2:
was_correct = True
elif decision == "HOLD" and abs(return_pct) <= 5:
was_correct = True
cur.execute(
"""
UPDATE qd_analysis_memory
SET validated_at = NOW(),
actual_return_pct = %s,
was_correct = %s
WHERE id = %s
""",
(return_pct, was_correct, int(row["id"])),
)
stats["validated"] += 1
if was_correct:
stats["correct"] += 1
else:
stats["incorrect"] += 1
except Exception as e:
logger.warning(f"Failed to validate memory {row.get('id')}: {e}", exc_info=True)
stats["errors"] += 1
db.commit()
cur.close()
except Exception as e:
logger.error(f"validate_unvalidated_older_than failed: {e}", exc_info=True)
return stats
def get_performance_stats(self, market: str = None, symbol: str = None,
days: int = 30) -> Dict[str, Any]: