确认PokieTicker新闻库数据源

backend/tools/analysis_tools.py

@@ -7,6 +7,7 @@ Returns human-readable text format for easy LLM consumption.
 """
 # flake8: noqa: E501
 # pylint: disable=C0301,W0613
+import ast
 import json
 import logging
 import traceback
@@ -20,6 +21,7 @@ import pandas as pd
 from agentscope.message import TextBlock
 from agentscope.tool import ToolResponse
 
+from backend.data.provider_utils import normalize_symbol
 from backend.tools.data_tools import (
     get_company_news,
     get_financial_metrics,
@@ -53,6 +55,16 @@ def _parse_tickers(tickers: Union[str, List[str], None]) -> List[str]:
     Returns:
         List of stock tickers.
     """
+    def _sanitize(values: List[object]) -> List[str]:
+        cleaned: List[str] = []
+        for value in values:
+            if value is None:
+                continue
+            symbol = normalize_symbol(str(value).strip().strip("\"'"))
+            if symbol and symbol not in cleaned:
+                cleaned.append(symbol)
+        return cleaned
+
     if tickers is None:
         return []
 
@@ -60,17 +72,22 @@ def _parse_tickers(tickers: Union[str, List[str], None]) -> List[str]:
         try:
             parsed = json.loads(tickers)
             if isinstance(parsed, list):
-                return parsed
-            # If it's a single string, wrap in list
-            return [parsed]
+                return _sanitize(parsed)
+            return _sanitize([parsed])
         except json.JSONDecodeError:
-            # If not valid JSON, treat as comma-separated string
-            return [t.strip() for t in tickers.split(",") if t.strip()]
+            try:
+                parsed = ast.literal_eval(tickers)
+                if isinstance(parsed, list):
+                    return _sanitize(parsed)
+                return _sanitize([parsed])
+            except (SyntaxError, ValueError):
+                pass
+            return _sanitize(tickers.split(","))
 
     if isinstance(tickers, list):
-        return tickers
+        return _sanitize(tickers)
 
-    return []
+    return _sanitize([tickers])
 
 
 def _safe_float(value, default=0.0) -> float:
@@ -350,6 +367,7 @@ def get_financial_metrics_tool(
     """
 
     current_date = _resolved_date(current_date)
+    tickers = _parse_tickers(tickers)
     lines = [
         f"=== Comprehensive Financial Metrics ({current_date}, {period}) ===\n",
     ]