mirror of
https://github.com/TauricResearch/TradingAgents.git
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Yijia-Xiao
c50420fc5c
- memory/log.py holds TradingMemoryLog, still imported from tradingagents.memory - graph/settlement.py and graph/reflection.py move to memory/; Reflector leaves tradingagents.graph's exports
78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
"""Symbol normalization must apply on every yfinance path, not just price fetch.
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Regression tests for #983 (instrument identity), #984 (reflection returns), and
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the news path: a broker symbol like XAUUSD must resolve to the same Yahoo symbol
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(GC=F) that the price path uses, so identity, realized-return, and news lookups
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hit the right instrument instead of failing/mismatching.
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"""
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import pandas as pd
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import tradingagents.agents.context as au
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import tradingagents.dataflows.vendors.yahoo.market as yahoo_market
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import tradingagents.dataflows.vendors.yahoo.news as ynews
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from tradingagents.memory import settlement
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def test_identity_lookup_normalizes_symbol(monkeypatch):
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seen = {}
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class FakeTicker:
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def __init__(self, symbol):
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seen["symbol"] = symbol
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@property
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def info(self):
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return {"longName": "Gold Futures", "quoteType": "FUTURE"}
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monkeypatch.setattr(yahoo_market.yf, "Ticker", FakeTicker)
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au.resolve_instrument_identity.cache_clear()
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identity = au.resolve_instrument_identity("XAUUSD")
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assert seen["symbol"] == "GC=F" # normalized, not the raw broker symbol
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assert identity.get("company_name") == "Gold Futures"
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def test_fetch_returns_normalizes_symbol(monkeypatch):
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queried = []
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class FakeTicker:
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def __init__(self, symbol):
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queried.append(symbol)
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def history(self, *args, **kwargs):
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prices = [100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0]
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idx = pd.date_range(start="2025-01-02", periods=len(prices), freq="D")
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return pd.DataFrame({"Close": prices}, index=idx)
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monkeypatch.setattr(yahoo_market.yf, "Ticker", FakeTicker)
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raw, alpha, days, resolved = settlement.fetch_returns(
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"XAUUSD", "2025-01-02", holding_days=5, benchmark="SPY"
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)
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assert queried[0] == "GC=F" # stock symbol normalized (#984)
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assert queried[1] == "SPY" # benchmark left as the canonical symbol
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assert raw is not None and days is not None
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assert resolved == "2025-01-07" # resolution date recorded (#1251)
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def test_news_lookup_normalizes_symbol(monkeypatch):
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seen = {}
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class FakeTicker:
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def __init__(self, symbol):
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seen["symbol"] = symbol
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def get_news(self, count):
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return []
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monkeypatch.setattr(ynews.yf, "Ticker", FakeTicker)
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monkeypatch.setattr(ynews, "yf_retry", lambda fn: fn())
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out = ynews.get_news_yfinance("XAUUSD", "2025-01-01", "2025-01-10")
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assert seen["symbol"] == "GC=F" # news queried with the canonical symbol
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assert "XAUUSD" in out # the user's ticker stays in the report
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assert "GC=F" in out # provenance noted
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