fix: 完善自定义分钟数据源配置与异常处理

- 补齐资产类型和周期参数在 API、YAML 与前端编辑器中的保存回读

- 权限判断和分时监控统一复用安全的数据源解析边界

- 增加配置往返及解析异常回归测试

backend/tests/test_custom_minute_config.py

@@ -0,0 +1,29 @@
+from app.api.settings import DatasetConfigIn
+from app.data_providers.custom.config import CustomSourceConfig, _dataset_from_dict
+from app.data_providers.custom.loader import _config_to_dict, _sanitize_for_yaml
+
+
+def test_minute_request_parameter_names_survive_config_round_trip():
+    dataset = DatasetConfigIn(
+        url="https://example.test/minute",
+        method="GET",
+        asset_type_param="asset",
+        freq_param="period",
+    ).model_dump()
+
+    cleaned = _sanitize_for_yaml({
+        "name": "test_source",
+        "display_name": "Test Source",
+        "datasets": {"minute": dataset},
+    })
+    parsed = _dataset_from_dict(cleaned["datasets"]["minute"])
+    exposed = _config_to_dict(CustomSourceConfig(
+        name="test_source",
+        display_name="Test Source",
+        datasets={"minute": parsed},
+    ))
+
+    assert parsed.asset_type_param == "asset"
+    assert parsed.freq_param == "period"
+    assert exposed["datasets"]["minute"]["asset_type_param"] == "asset"
+    assert exposed["datasets"]["minute"]["freq_param"] == "period"

backend/tests/test_minute_routing.py

@@ -639,3 +639,44 @@ def test_resolve_minute_provider_success_returns_provider(monkeypatch):
     assert provider is mock_provider
     assert fallback is False
     assert err is None
+
+
+def test_minute_allowed_resolver_exception_returns_false(monkeypatch):
+    """权限入口复用安全 resolver, 插件注册异常不再穿透为 500。"""
+    from app.api import kline as kline_api
+    from app.tickflow.capabilities import CapabilitySet
+
+    monkeypatch.setattr(
+        "app.services.preferences.get_minute_data_provider",
+        lambda: "broken",
+    )
+
+    def _raising(name, dataset):
+        raise RuntimeError("registry corrupted")
+
+    monkeypatch.setattr("app.data_providers.custom.provider_has_dataset", _raising)
+
+    assert kline_api._minute_allowed(CapabilitySet()) is False
+
+
+def test_intraday_monitor_support_resolver_exception_falls_back(monkeypatch):
+    """监控入口解析自定义源失败后继续按 TickFlow 能力判断。"""
+    from app.tickflow.capabilities import Cap, CapabilitySet
+
+    monkeypatch.setattr(
+        kline_sync.preferences,
+        "get_minute_data_provider",
+        lambda: "broken",
+    )
+
+    def _raising(name, dataset):
+        raise RuntimeError("registry corrupted")
+
+    monkeypatch.setattr("app.data_providers.custom.provider_has_dataset", _raising)
+    capset = CapabilitySet()
+    capset.grant(Cap.KLINE_MINUTE_BATCH)
+
+    support = kline_sync.intraday_monitor_support(capset)
+
+    assert support["available"] is True
+    assert support["source"] == "minute_batch"