steven_li
30ab74ffb2
- 集成MCP连接管理器，支持MCP服务器连接 - 添加多种内置工具：ClarifyTool、CronTool、DelegateTool、ExecuteCodeTool、 PatchFileTool、ProcessTool、SendMessageTool、SpawnTool、TerminalTool、 TodoTool、WebFetchTool、WebSearchTool、WriteFileTool等 - 实现工具注册和装配功能 - 添加技能选择上下文参数 - 支持思考模式控制参数thinking_enabled feat(coordinator): 重构任务执行计划器参数命名 - 将learning_candidate_enabled重命名为allow_candidate_generation - 更新TeamGraphScheduler中的参数传递 - 修改LocalAgentRunner中的相关参数处理 - 更新README文档中的相应描述 refactor(context): 标准化工具调用参数格式 - 添加_json导入用于参数序列化 - 实现_provider_tool_calls方法标准化OpenAI兼容的工具调用载荷 - 修复工具调用中参数非字符串类型的序列化问题 refactor(session): 优化消息历史记录过滤逻辑 - 修改get_messages_as_conversation为基于运行状态过滤消息 - 排除未完成、失败或错误结束的运行记录 - 改进对话历史的可见性控制机制 fix(store): 修复FTS索引重建逻辑 - 添加异常处理防止FTS索引创建失败 - 实现_rebuild_fts_index方法重新构建全文搜索索引 - 优化索引触发器和表的维护流程
203 lines
7.2 KiB
Python
203 lines
7.2 KiB
Python
from __future__ import annotations
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from pathlib import Path
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from beaver.engine.session import SessionManager
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from beaver.memory.runs import RunMemoryStore, RunRecord
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from beaver.services.process_service import SessionProcessProjector
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def test_process_projection_maps_task_team_events(tmp_path: Path) -> None:
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session = SessionManager(tmp_path)
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run_store = RunMemoryStore(tmp_path / "memory" / "runs")
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run_store.append_run_record(
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RunRecord(
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run_id="sub-run",
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session_id="sub-session",
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task_id="task-1",
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attempt_index=1,
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task_text="sub task",
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started_at="2026-01-01T00:00:01+00:00",
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ended_at="2026-01-01T00:00:02+00:00",
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success=True,
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finish_reason="stop",
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)
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)
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run_store.append_run_record(
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RunRecord(
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run_id="main-run",
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session_id="web:test",
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task_id="task-1",
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attempt_index=1,
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task_text="main task",
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started_at="2026-01-01T00:00:03+00:00",
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ended_at="2026-01-01T00:00:04+00:00",
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success=True,
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finish_reason="stop",
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)
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)
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session.append_message(
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"web:test",
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role="system",
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event_type="task_execution_planned",
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event_payload={
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"task_id": "task-1",
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"attempt_index": 1,
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"plan_mode": "team",
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"strategy": "sequence",
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"node_ids": ["research"],
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"skill_queries": ["research workflow"],
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"selected_skill_names": ["research-workflow"],
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"skill_resolution_report": [
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{
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"node_id": "research",
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"skill_query": "research workflow",
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"selected_skill_names": ["research-workflow"],
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"ephemeral_guidance_id": None,
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"ephemeral_guidance_name": None,
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"ephemeral_used": False,
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"reason": "matched published skill",
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}
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],
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"reason": "needs research",
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},
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context_visible=False,
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)
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session.append_message(
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"web:test",
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role="system",
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event_type="task_team_run_completed",
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event_payload={
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"task_id": "task-1",
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"attempt_index": 1,
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"team_success": True,
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"team_run_ids": ["sub-run"],
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"node_results": [
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{
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"node_id": "research",
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"success": True,
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"output_text": "evidence",
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"run_id": "sub-run",
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"skill_query": "research workflow",
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"selected_skill_names": ["research-workflow"],
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"ephemeral_skill_names": [],
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"ephemeral_guidance_id": None,
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"ephemeral_guidance_name": None,
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"ephemeral_used": False,
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"finish_reason": "stop",
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}
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],
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},
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context_visible=False,
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)
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session.append_message(
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"web:test",
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role="system",
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event_type="task_synthesis_completed",
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event_payload={"task_id": "task-1", "attempt_index": 1, "main_run_id": "main-run"},
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context_visible=False,
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)
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session.append_message(
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"web:test",
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run_id="main-run",
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role="system",
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event_type="task_validation_snapshotted",
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event_payload={
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"task_id": "task-1",
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"attempt_index": 1,
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"validation_result": {"accepted": True, "score": 0.9},
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"retry_scheduled": False,
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},
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context_visible=False,
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)
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projection = SessionProcessProjector(session, run_store).project("web:test")
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run_ids = {run["run_id"] for run in projection["runs"]}
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assert "task:task-1:attempt:1" in run_ids
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assert "sub-run" in run_ids
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assert "main-run" in run_ids
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sub_run = next(run for run in projection["runs"] if run["run_id"] == "sub-run")
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assert sub_run["metadata"]["selected_skill_names"] == ["research-workflow"]
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assert sub_run["metadata"]["skill_query"] == "research workflow"
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assert sub_run["metadata"]["ephemeral_guidance_id"] is None
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assert any(event["actor_name"] == "Validator" for event in projection["events"])
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assert any(run["session_id"] == "web:test" for run in projection["runs"])
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def test_process_projection_exposes_ephemeral_guidance_artifacts(tmp_path: Path) -> None:
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session = SessionManager(tmp_path)
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run_store = RunMemoryStore(tmp_path / "memory" / "runs")
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run_store.append_run_record(
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RunRecord(
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run_id="sub-run",
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session_id="sub-session",
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task_id="task-1",
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attempt_index=1,
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task_text="sub task",
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started_at="2026-01-01T00:00:01+00:00",
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ended_at="2026-01-01T00:00:02+00:00",
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success=True,
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finish_reason="stop",
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)
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)
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session.append_message(
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"web:test",
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role="system",
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event_type="task_execution_planned",
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event_payload={
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"task_id": "task-1",
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"attempt_index": 1,
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"plan_mode": "team",
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"strategy": "sequence",
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"node_ids": ["research"],
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"ephemeral_guidance_ids": ["eg_123"],
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"skill_resolution_report": [
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{
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"node_id": "research",
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"skill_query": "research workflow",
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"selected_skill_names": [],
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"ephemeral_guidance_id": "eg_123",
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"ephemeral_guidance_name": "research-workflow",
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"ephemeral_used": True,
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"reason": "generated ephemeral guidance",
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}
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],
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},
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context_visible=False,
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)
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session.append_message(
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"web:test",
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role="system",
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event_type="task_team_run_completed",
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event_payload={
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"task_id": "task-1",
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"attempt_index": 1,
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"team_success": True,
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"team_run_ids": ["sub-run"],
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"node_results": [
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{
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"node_id": "research",
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"success": True,
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"output_text": "evidence",
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"run_id": "sub-run",
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"skill_query": "research workflow",
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"selected_skill_names": [],
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"ephemeral_skill_names": ["ephemeral:research-workflow"],
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"ephemeral_guidance_id": "eg_123",
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"ephemeral_guidance_name": "research-workflow",
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"ephemeral_used": True,
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"finish_reason": "stop",
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}
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],
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},
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context_visible=False,
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)
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projection = SessionProcessProjector(session, run_store).project("web:test")
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sub_run = next(run for run in projection["runs"] if run["run_id"] == "sub-run")
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assert sub_run["metadata"]["ephemeral_guidance_id"] == "eg_123"
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assert projection["artifacts"][0]["artifact_id"] == "sub-run:ephemeral-guidance:eg_123"
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assert projection["artifacts"][0]["metadata"]["ephemeral_guidance_name"] == "research-workflow"
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