Refactor context passing: pipeline now accepts dict directly

Eliminate the NamedTemporaryFile workaround in server.py by adding a
`context` dict parameter to run_freshrss_pipeline. The pipeline resolves
filter context from the dict first, falling back to context_path, then
defaulting to an empty FilterContext. Remove unused json/tempfile imports.

src/summary_mcp/workflows/freshrss_pipeline.py

@@ -80,6 +80,7 @@ def run_freshrss_pipeline(
     debug_artifacts: bool = False,
     prompt: Path | None = None,
     rules: Path | None = None,
+    context: dict[str, Any] | None = None,
     context_path: Path | None = None,
     max_retries: int = 2,
     timeout_seconds: float = 60.0,
@@ -137,7 +138,13 @@ def run_freshrss_pipeline(
         _save_json(items_list_output, [item.model_dump(mode="json") for item in items])
 
     loaded_rules = load_filter_rules(resolved_rules_path)
-    context = FilterContext.model_validate(_load_json(context_path)) if context_path else FilterContext()
+    # context 优先使用直接传入的 dict，其次读取 context_path 文件，两者均缺失则使用空 context
+    if context is not None:
+        filter_context = FilterContext.model_validate(context)
+    elif context_path is not None:
+        filter_context = FilterContext.model_validate(_load_json(context_path))
+    else:
+        filter_context = FilterContext()
 
     delivered_candidates: list[OpenClawCandidateInput] = []
     delivered_item_ids: list[str] = []
@@ -204,7 +211,7 @@ def run_freshrss_pipeline(
 
         summary = LlmSummaryResult.model_validate(summary_payload)
         decision = evaluate_filter_rules(
-            FilterInput(item=item, article=extraction.article, summary=summary, context=context),
+            FilterInput(item=item, article=extraction.article, summary=summary, context=filter_context),
             loaded_rules,
         )
         if filter_path is not None: