feat: pipeline 并行摘要 + 子进程 env 注入 + 循环导入修复

源码：
- runtime/__init__.py: resume_jobs/resume_service 改为懒加载，打破循环导入
- freshrss_pipeline_jobs.py / resume_jobs.py: 子进程注入 .env 环境变量
- freshrss_pipeline.py: LLM 摘要串行改并行 (ThreadPoolExecutor, max_workers=4)

配置：
- term_aliases: 19→149 条，大幅扩充别名映射
- term_stopwords: 19→132 条，增加过滤规则
- filter_context.personal.json: +7 个兴趣关键词

configs/filter_context.personal.json

@@ -33,8 +33,10 @@
     "Claude",
     "Claude Code",
     "CLAUDE.md",
+    "CLI",
     "Context Engineering",
     "Cursor",
+    "ChatGPT",
     "DeepSeek",
     "FastAPI",
     "Gin",
@@ -46,7 +48,9 @@
     "Kafka",
     "Kubernetes",
     "LLM",
+    "Loop Engineering",
     "MCP",
+    "MoE",
     "MySQL",
     "MySQL复制延迟",
     "OpenAI",
@@ -55,6 +59,7 @@
     "Prompt Engineering",
     "Python",
     "RAG",
+    "ReAct",
     "ReActAgent",
     "Redis",
     "Skill",
@@ -74,6 +79,8 @@
     "向量数据库",
     "多Agent协作",
     "大模型",
+    "子Agent",
+    "强化学习",
     "微服务",
     "渐进式披露",
     "知识库"