test: 修复 PR #193 合并后的 12 个测试 (alerts 参数/None 语义/自包含插件)

backend/tests/test_ai_provider.py

@@ -281,9 +281,10 @@ def test_ai_settings_keep_provider_models_separate(monkeypatch):
 # ── 输出上限 / 上下文窗口配置 ─────────────────────────────────
 
 
-def test_resolve_max_tokens_defaults_to_config_cap(monkeypatch):
+def test_resolve_max_tokens_none_stays_unlimited(monkeypatch):
+    """None = 不传上限(推理模型放开) — 不能被映射成配置上限, 见 main 语义。"""
     monkeypatch.setattr(ai_provider, "current_ai_max_output_tokens", lambda: 8192)
-    assert ai_provider._resolve_max_tokens(None) == 8192
+    assert ai_provider._resolve_max_tokens(None) is None
 
 
 def test_resolve_max_tokens_clamps_above_cap(monkeypatch):
@@ -339,7 +340,8 @@ async def test_generate_ai_text_clamps_max_tokens_to_config_cap(monkeypatch):
 
 
 @pytest.mark.asyncio
-async def test_generate_ai_text_defaults_to_config_cap(monkeypatch):
+async def test_generate_ai_text_default_cap_and_none_passthrough(monkeypatch):
+    """默认 3000 且被钳制; 显式 None 贯穿为不限制。"""
     captured: dict = {}
     monkeypatch.setattr(ai_provider, "is_codex_cli_provider", lambda: False)
     monkeypatch.setattr(ai_provider, "current_ai_max_output_tokens", lambda: 4000)
@@ -351,7 +353,11 @@ async def test_generate_ai_text_defaults_to_config_cap(monkeypatch):
 
     monkeypatch.setattr(ai_provider, "_run_openai_once", fake_run)
     await ai_provider.generate_ai_text([{"role": "user", "content": "hi"}])
-    assert captured["max_tokens"] == 4000
+    assert captured["max_tokens"] == 3000  # 默认值, 未超 cap 原样下发
+    await ai_provider.generate_ai_text(
+        [{"role": "user", "content": "hi"}], max_tokens=None,
+    )
+    assert captured["max_tokens"] is None  # None = 推理模型放开, 不钳制
 
 
 def test_save_ai_settings_persists_token_sizes(monkeypatch):

backend/tests/test_custom_loader_install.py

@@ -31,8 +31,21 @@ def _patch_uv_install(monkeypatch, returncodes):
     return calls
 
 
-def test_install_plugin_uv_targets_running_interpreter(monkeypatch):
+def _fake_python_plugin(monkeypatch, tmp_path):
+    """在临时目录铺设最小 python 插件, 并把 plugins_dir 指过去 (自包含)。"""
+    pdir = tmp_path / "baostock"
+    pdir.mkdir()
+    (pdir / "plugin.yaml").write_text(
+        "name: baostock\nruntime: python\nentry: p:provider\n", encoding="utf-8",
+    )
+    (pdir / "requirements.txt").write_text("baostock\n", encoding="utf-8")
+    monkeypatch.setattr(loader, "plugins_dir", lambda: tmp_path)
+    return pdir
+
+
+def test_install_plugin_uv_targets_running_interpreter(monkeypatch, tmp_path):
     """uv 分支必须传 --python sys.executable, 不能留给 uv 自动探测。"""
+    _fake_python_plugin(monkeypatch, tmp_path)
     calls = _patch_uv_install(monkeypatch, [0])
 
     ok, msg = loader.install_plugin("baostock")
@@ -45,8 +58,9 @@ def test_install_plugin_uv_targets_running_interpreter(monkeypatch):
     assert uv_cmd[idx + 1] == sys.executable
 
 
-def test_install_plugin_uv_retry_keeps_python_target(monkeypatch):
+def test_install_plugin_uv_retry_keeps_python_target(monkeypatch, tmp_path):
     """exit 2 → --no-config 重试时也必须保持 --python 目标。"""
+    _fake_python_plugin(monkeypatch, tmp_path)
     calls = _patch_uv_install(monkeypatch, [2, 0])
 
     ok, msg = loader.install_plugin("baostock")
@@ -58,7 +72,7 @@ def test_install_plugin_uv_retry_keeps_python_target(monkeypatch):
         assert cmd[idx + 1] == sys.executable
 
 
-def test_uninstall_plugin_uv_targets_running_interpreter(monkeypatch):
+def test_uninstall_plugin_uv_targets_running_interpreter(monkeypatch, tmp_path):
     """uv 卸载同样必须传 --python sys.executable, 否则会动到基础解释器。"""
     calls: list[list[str]] = []
 
@@ -69,6 +83,7 @@ def test_uninstall_plugin_uv_targets_running_interpreter(monkeypatch):
         calls.append(list(cmd))
         return subprocess.CompletedProcess(cmd, 0)
 
+    _fake_python_plugin(monkeypatch, tmp_path)
     monkeypatch.setattr(loader.shutil, "which", fake_which)
     monkeypatch.setattr(loader.subprocess, "run", fake_run)
 

backend/tests/test_strategy_required_history.py

@@ -36,7 +36,6 @@ def _filter_history_strategy(
         trailing_take_profit_activate=None,
         trailing_take_profit_drawdown=None,
         max_hold_days=None,
-        alerts=[],
         filter_fn=None,
         filter_history_fn=lambda df, params: df,
         lookback_days=lookback_days,