refactor: simplify api_key mapping and consolidate tests
Apply review suggestions: use concise `or` pattern for API key resolution, consolidate tests into parameterized subTest, move import to module level per PEP 8.
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@ -1,38 +1,27 @@
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import unittest
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from unittest.mock import patch
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from tradingagents.llm_clients.google_client import GoogleClient
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class TestGoogleApiKeyStandardization(unittest.TestCase):
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"""Verify GoogleClient accepts unified api_key parameter."""
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@patch("tradingagents.llm_clients.google_client.NormalizedChatGoogleGenerativeAI")
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def test_api_key_mapped_to_google_api_key(self, mock_chat):
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from tradingagents.llm_clients.google_client import GoogleClient
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def test_api_key_handling(self, mock_chat):
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test_cases = [
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("unified api_key is mapped", {"api_key": "test-key-123"}, "test-key-123"),
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("legacy google_api_key still works", {"google_api_key": "legacy-key-456"}, "legacy-key-456"),
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("unified api_key takes precedence", {"api_key": "unified", "google_api_key": "legacy"}, "unified"),
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]
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client = GoogleClient("gemini-2.5-flash", api_key="test-key-123")
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client.get_llm()
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call_kwargs = mock_chat.call_args[1]
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self.assertEqual(call_kwargs["google_api_key"], "test-key-123")
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@patch("tradingagents.llm_clients.google_client.NormalizedChatGoogleGenerativeAI")
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def test_legacy_google_api_key_still_works(self, mock_chat):
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from tradingagents.llm_clients.google_client import GoogleClient
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client = GoogleClient("gemini-2.5-flash", google_api_key="legacy-key-456")
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client.get_llm()
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call_kwargs = mock_chat.call_args[1]
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self.assertEqual(call_kwargs["google_api_key"], "legacy-key-456")
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@patch("tradingagents.llm_clients.google_client.NormalizedChatGoogleGenerativeAI")
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def test_api_key_takes_precedence_over_google_api_key(self, mock_chat):
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from tradingagents.llm_clients.google_client import GoogleClient
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client = GoogleClient(
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"gemini-2.5-flash", api_key="unified", google_api_key="legacy"
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)
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client.get_llm()
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call_kwargs = mock_chat.call_args[1]
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self.assertEqual(call_kwargs["google_api_key"], "unified")
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for msg, kwargs, expected_key in test_cases:
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with self.subTest(msg=msg):
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mock_chat.reset_mock()
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client = GoogleClient("gemini-2.5-flash", **kwargs)
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client.get_llm()
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call_kwargs = mock_chat.call_args[1]
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self.assertEqual(call_kwargs.get("google_api_key"), expected_key)
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if __name__ == "__main__":
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@ -32,10 +32,9 @@ class GoogleClient(BaseLLMClient):
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llm_kwargs[key] = self.kwargs[key]
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# Unified api_key maps to provider-specific google_api_key
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if "api_key" in self.kwargs:
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llm_kwargs["google_api_key"] = self.kwargs["api_key"]
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elif "google_api_key" in self.kwargs:
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llm_kwargs["google_api_key"] = self.kwargs["google_api_key"]
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google_api_key = self.kwargs.get("api_key") or self.kwargs.get("google_api_key")
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if google_api_key:
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llm_kwargs["google_api_key"] = google_api_key
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# Map thinking_level to appropriate API param based on model
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# Gemini 3 Pro: low, high
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