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/app/api/kline.py

@@ -25,10 +25,10 @@ def _minute_allowed(capset) -> bool:
         return True
     from app.services import preferences
     provider = preferences.get_minute_data_provider()
-    if provider == "tickflow":
-        return False
-    from app.data_providers import custom as custom_sources
-    return custom_sources.provider_has_dataset(provider, "minute")
+    _, fallback, error = kline_sync._resolve_minute_provider(provider)
+    if error is not None:
+        logger.warning("minute provider resolution failed while checking access: %s", error)
+    return not fallback
 
 
 @router.get("/instruments/search")

backend/app/api/settings.py

@@ -371,6 +371,8 @@ class DatasetConfigIn(BaseModel):
     symbols_param: str = "symbols"
     start_param: str = "start_time"
     end_param: str = "end_time"
+    asset_type_param: str | None = None
+    freq_param: str | None = None
 
 
 class AuthConfigIn(BaseModel):
@@ -1429,4 +1431,3 @@ def update_review_push(req: ReviewPushIn) -> dict:
     from app.services import preferences
     saved = preferences.set_review_push_channels(req.channels)
     return {"review_push_channels": saved}
-

backend/app/data_providers/custom/loader.py

@@ -296,6 +296,8 @@ def _config_to_dict(config: CustomSourceConfig) -> dict:
             "symbols_param": ds.symbols_param,
             "start_param": ds.start_param,
             "end_param": ds.end_param,
+            **({"asset_type_param": ds.asset_type_param} if ds.asset_type_param else {}),
+            **({"freq_param": ds.freq_param} if ds.freq_param else {}),
         }
     return out
 
@@ -401,6 +403,10 @@ def _sanitize_dataset(ds_cfg: dict) -> dict:
         out["start_param"] = str(ds_cfg["start_param"])
     if ds_cfg.get("end_param"):
         out["end_param"] = str(ds_cfg["end_param"])
+    if ds_cfg.get("asset_type_param"):
+        out["asset_type_param"] = str(ds_cfg["asset_type_param"])
+    if ds_cfg.get("freq_param"):
+        out["freq_param"] = str(ds_cfg["freq_param"])
     return out
 
 
@@ -496,4 +502,3 @@ def _load_entry(entry_ref: str):
 
 # 模块导入时即扫描一次, 保证 names()/_allowed_data_providers() 在 startup 前可用。
 _load_builtin_plugins()
-

backend/app/services/kline_sync.py

@@ -733,13 +733,14 @@ def sync_minute_batch(
 def intraday_monitor_support(capset: CapabilitySet | None) -> dict[str, object]:
     """返回分时信号监控可用的数据能力和单轮标的上限。"""
     provider_name = preferences.get_minute_data_provider()
-    if provider_name != "tickflow":
-        from app.data_providers import custom as custom_sources
-        if custom_sources.provider_has_dataset(provider_name, "minute"):
-            return {
-                "available": True, "source": "custom_minute", "max_symbols": 100,
-                "reason": "使用已配置的分钟数据插件",
-            }
+    _, fallback, error = _resolve_minute_provider(provider_name)
+    if not fallback:
+        return {
+            "available": True, "source": "custom_minute", "max_symbols": 100,
+            "reason": "使用已配置的分钟数据插件",
+        }
+    if error is not None:
+        logger.warning("minute provider resolution failed while checking monitor support: %s", error)
     if capset is None:
         return {
             "available": False, "source": None, "max_symbols": 0,