42 lines
1.9 KiB
Python
42 lines
1.9 KiB
Python
import os
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DEFAULT_CONFIG = {
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"project_dir": os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
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"results_dir": os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "results")),
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"data_dir": os.path.join(os.path.expanduser("~"), "Documents/Code/ScAI/FR1-data"),
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"data_cache_dir": os.getenv("TRADINGAGENTS_DATA_CACHE_DIR", os.path.join(
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os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
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"dataflows/data_cache",
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)),
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# LLM 設定
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"llm_provider": "openai",
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"deep_think_llm": "gpt-5-mini",
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"quick_think_llm": "gpt-5-mini",
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"backend_url": "https://api.openai.com/v1",
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# 辯論與討論設定
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"max_debate_rounds": 1,
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"max_risk_discuss_rounds": 1,
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"max_recur_limit": 200,
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# 資料供應商設定
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# 類別層級設定 (該類別所有工具的預設值)
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# 可用供應商:
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# - yfinance: Yahoo Finance (美股為主)
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# - alpha_vantage: Alpha Vantage API (美股為主)
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# - finmind: FinMind API (台股專用)
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# - openai: OpenAI 網路搜尋
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# - google: Google News
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# - local: 本地資料
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"data_vendors": {
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"core_stock_apis": "yfinance", # 選項: yfinance, alpha_vantage, finmind, local
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"technical_indicators": "yfinance", # 選項: yfinance, alpha_vantage, finmind, local
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"fundamental_data": "alpha_vantage", # 選項: openai, alpha_vantage, yfinance, finmind
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"news_data": "openai", # 選項: openai, alpha_vantage, google, finmind, local
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},
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# 工具層級設定 (優先於類別層級設定)
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"tool_vendors": {
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# 範例: "get_stock_data": "alpha_vantage", # 覆寫類別預設值
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# 範例: "get_news": "openai", # 覆寫類別預設值
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# 範例: "get_stock_data": "finmind", # 使用 FinMind 獲取台股資料
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"get_global_news": "openai", # get_global_news 不支持 alpha_vantage，使用 openai 作為主要供應商
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},
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} |