99 lines
3.0 KiB
Python
99 lines
3.0 KiB
Python
from langchain_core.messages import HumanMessage, RemoveMessage
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# Import tools from separate utility files
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from tradingagents.agents.utils.core_stock_tools import (
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get_stock_data
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)
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from tradingagents.agents.utils.technical_indicators_tools import (
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get_indicators
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)
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from tradingagents.agents.utils.fundamental_data_tools import (
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get_fundamentals,
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get_balance_sheet,
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get_cashflow,
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get_income_statement
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)
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from tradingagents.agents.utils.news_data_tools import (
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get_news,
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get_insider_sentiment,
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get_insider_transactions,
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get_global_news
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)
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def create_msg_delete():
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def delete_messages(state):
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"""Clear messages and add placeholder for Anthropic compatibility"""
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messages = state["messages"]
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# Remove all messages
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removal_operations = [RemoveMessage(id=m.id) for m in messages]
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# Add a minimal placeholder message
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placeholder = HumanMessage(content="Continue")
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return {"messages": removal_operations + [placeholder]}
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return delete_messages
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import json
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import os
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import tempfile
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from typing import Dict, Any, Union, List
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def write_json_atomic(path: str, data: Dict[str, Any]):
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"""
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Atomically write JSON data to a file.
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1. Writes to a temporary file in the same directory.
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2. Renames the temp file to the target path (atomic operation).
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"""
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directory = os.path.dirname(path)
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if not os.path.exists(directory):
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os.makedirs(directory, exist_ok=True)
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try:
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# Create temp file in the same directory to ensure atomic rename works
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with tempfile.NamedTemporaryFile(mode='w', dir=directory, delete=False) as tf:
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json.dump(data, tf, indent=4)
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temp_path = tf.name
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# Atomic rename
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os.replace(temp_path, path)
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except Exception as e:
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# Cleanup if something failed before rename
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if 'temp_path' in locals() and os.path.exists(temp_path):
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os.remove(temp_path)
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raise e
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def normalize_agent_output(content: Union[str, List, Any]) -> str:
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"""
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Normalize LLM output into a clean string.
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Handlers:
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- String: Returns as-is
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- List (Anthropic/Gemini): Extracts 'text' fields or joins items
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- Other: Converts to string via str()
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This ensures AgentState always contains normalized strings,
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preventing downstream crashes in CLI/UI.
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"""
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if not content:
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return ""
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if isinstance(content, str):
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return content
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elif isinstance(content, list):
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# Handle Anthropic/Gemini list format
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text_parts = []
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for item in content:
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if isinstance(item, dict):
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if item.get('type') == 'text':
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text_parts.append(item.get('text', ''))
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# Skip 'tool_use' blocks in the final report string
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else:
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text_parts.append(str(item))
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return ' '.join(text_parts)
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return str(content) |