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fix: AI analysis history user isolation & password change Turnstile bypass

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This commit is contained in:
TIANHE
2026-01-31 22:34:26 +08:00
parent d5e023a774
commit 70269c40c9
6 changed files with 108 additions and 24 deletions
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backend_api_python/app/services/fast_analysis.py
+13 -5
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@@ -442,10 +442,18 @@ Provide your analysis now. Remember: all prices must be within 10% of ${current_
# ==================== Main Analysis ====================
def analyze(self, market: str, symbol: str, language: str = 'en-US',
model: str = None, timeframe: str = "1D") -> Dict[str, Any]:
model: str = None, timeframe: str = "1D", user_id: int = None) -> Dict[str, Any]:
"""
Run fast single-call analysis.
Args:
market: Market type (Crypto, USStock, etc.)
symbol: Trading pair or stock symbol
language: Response language (zh-CN or en-US)
model: LLM model to use
timeframe: Analysis timeframe (1D, 4H, etc.)
user_id: User ID for storing analysis history
Returns:
Complete analysis result with actionable recommendations.
"""
@@ -587,11 +595,11 @@ Provide your analysis now. Remember: all prices must be within 10% of ${current_
})
# Store in memory for future retrieval and get memory_id for feedback
memory_id = self._store_analysis_memory(result)
memory_id = self._store_analysis_memory(result, user_id=user_id)
if memory_id:
result["memory_id"] = memory_id
logger.info(f"Fast analysis completed in {total_time}ms: {market}:{symbol} -> {result['decision']} (memory_id={memory_id})")
logger.info(f"Fast analysis completed in {total_time}ms: {market}:{symbol} -> {result['decision']} (memory_id={memory_id}, user_id={user_id})")
except Exception as e:
logger.error(f"Fast analysis failed: {e}", exc_info=True)
@@ -665,12 +673,12 @@ Provide your analysis now. Remember: all prices must be within 10% of ${current_
return max(0, min(100, int(overall)))
def _store_analysis_memory(self, result: Dict) -> Optional[int]:
def _store_analysis_memory(self, result: Dict, user_id: int = None) -> Optional[int]:
"""Store analysis result for future learning. Returns memory_id."""
try:
from app.services.analysis_memory import get_analysis_memory
memory = get_analysis_memory()
memory_id = memory.store(result)
memory_id = memory.store(result, user_id=user_id)
return memory_id
except Exception as e:
logger.warning(f"Memory storage failed: {e}")