"""Tests for TRADINGAGENTS_* env-var overlay onto DEFAULT_CONFIG.""" from __future__ import annotations import importlib import pytest import tradingagents.default_config as default_config_module def _reload_with_env(monkeypatch, **overrides): """Set/clear env vars then reload default_config to re-evaluate DEFAULT_CONFIG.""" for key in list(default_config_module._ENV_OVERRIDES): monkeypatch.delenv(key, raising=False) for key, val in overrides.items(): monkeypatch.setenv(key, val) return importlib.reload(default_config_module) def test_no_env_uses_built_in_defaults(monkeypatch): dc = _reload_with_env(monkeypatch) assert dc.DEFAULT_CONFIG["llm_provider"] == "openai" assert dc.DEFAULT_CONFIG["deep_think_llm"] == "gpt-5.5" assert dc.DEFAULT_CONFIG["quick_think_llm"] == "gpt-5.4-mini" assert dc.DEFAULT_CONFIG["backend_url"] is None assert dc.DEFAULT_CONFIG["max_debate_rounds"] == 1 assert dc.DEFAULT_CONFIG["checkpoint_enabled"] is False def test_string_overrides(monkeypatch): dc = _reload_with_env( monkeypatch, TRADINGAGENTS_LLM_PROVIDER="google", TRADINGAGENTS_DEEP_THINK_LLM="gemini-3-pro-preview", TRADINGAGENTS_QUICK_THINK_LLM="gemini-3-flash-preview", TRADINGAGENTS_LLM_BACKEND_URL="https://example.invalid/v1", TRADINGAGENTS_OUTPUT_LANGUAGE="Chinese", ) assert dc.DEFAULT_CONFIG["llm_provider"] == "google" assert dc.DEFAULT_CONFIG["deep_think_llm"] == "gemini-3-pro-preview" assert dc.DEFAULT_CONFIG["quick_think_llm"] == "gemini-3-flash-preview" assert dc.DEFAULT_CONFIG["backend_url"] == "https://example.invalid/v1" assert dc.DEFAULT_CONFIG["output_language"] == "Chinese" def test_int_coercion(monkeypatch): dc = _reload_with_env( monkeypatch, TRADINGAGENTS_MAX_DEBATE_ROUNDS="3", TRADINGAGENTS_MAX_RISK_ROUNDS="2", ) assert dc.DEFAULT_CONFIG["max_debate_rounds"] == 3 assert isinstance(dc.DEFAULT_CONFIG["max_debate_rounds"], int) assert dc.DEFAULT_CONFIG["max_risk_discuss_rounds"] == 2 assert isinstance(dc.DEFAULT_CONFIG["max_risk_discuss_rounds"], int) @pytest.mark.parametrize( "raw,expected", [ ("true", True), ("True", True), ("1", True), ("yes", True), ("on", True), ("false", False), ("False", False), ("0", False), ("no", False), ("off", False), ], ) def test_bool_coercion(monkeypatch, raw, expected): dc = _reload_with_env(monkeypatch, TRADINGAGENTS_CHECKPOINT_ENABLED=raw) assert dc.DEFAULT_CONFIG["checkpoint_enabled"] is expected def test_empty_env_value_is_passthrough(monkeypatch): """Empty TRADINGAGENTS_* values must not clobber the built-in default.""" dc = _reload_with_env( monkeypatch, TRADINGAGENTS_LLM_PROVIDER="", TRADINGAGENTS_MAX_DEBATE_ROUNDS="", ) assert dc.DEFAULT_CONFIG["llm_provider"] == "openai" assert dc.DEFAULT_CONFIG["max_debate_rounds"] == 1 def test_invalid_int_raises(monkeypatch): """Garbage int values should surface a ValueError at import, not silently misconfigure.""" monkeypatch.setenv("TRADINGAGENTS_MAX_DEBATE_ROUNDS", "not-a-number") with pytest.raises(ValueError): importlib.reload(default_config_module) # Restore module state for subsequent tests in this process monkeypatch.delenv("TRADINGAGENTS_MAX_DEBATE_ROUNDS", raising=False) importlib.reload(default_config_module) def test_unknown_env_var_is_ignored(monkeypatch): """Env vars outside _ENV_OVERRIDES must not bleed into DEFAULT_CONFIG.""" dc = _reload_with_env( monkeypatch, TRADINGAGENTS_NONEXISTENT_KEY="oops", ) assert "nonexistent_key" not in dc.DEFAULT_CONFIG