from pathlib import Path from app.config import UserSeed from app.db import Database ADMIN = UserSeed( id="admin-user", label="管理员", role="admin", access_key_hash="hash-admin", ) MEMBER = UserSeed( id="member-user", label="用户二", role="member", access_key_hash="hash-member", ) def database(tmp_path: Path) -> Database: db = Database(tmp_path / "test.sqlite3") db.initialize([ADMIN, MEMBER]) return db def assessment(idea_id: str | None = None, maturity: float = 38): return { "idea_id": idea_id, "title": "无分类的笔记入口", "summary": "先保留念头,再让结构在后台形成。", "maturity": maturity, "confidence": 0.76, "motion": "从抱怨聚成原则", "position": "已经有清楚的交互原则,还没有碰到真实使用。", "tension": "自由输入与系统内部结构之间需要同时成立。", "trajectory": "从输入摩擦的感受,收束成了产品边界。", "possible_moves": ["做一个只保留原文的输入原型"], "relevance": 1, } def test_fragment_is_saved_before_analysis(tmp_path: Path): db = database(tmp_path) fragment = db.create_fragment(ADMIN.id, "一个还没有分类的念头") assert db.list_fragments(ADMIN.id) == [ { "id": fragment["id"], "content": "一个还没有分类的念头", "created_at": fragment["created_at"], } ] assert db.get_fragment(fragment["id"], ADMIN.id)["analysis_status"] == "pending" def test_user_data_is_isolated_at_query_layer(tmp_path: Path): db = database(tmp_path) admin_fragment = db.create_fragment(ADMIN.id, "管理员的私密念头") member_fragment = db.create_fragment(MEMBER.id, "用户二的私密念头") db.apply_assessments(ADMIN.id, admin_fragment["id"], [assessment()]) admin_idea = db.list_ideas(ADMIN.id)[0] assert [item["content"] for item in db.list_fragments(ADMIN.id)] == [ "管理员的私密念头" ] assert [item["content"] for item in db.list_fragments(MEMBER.id)] == [ "用户二的私密念头" ] assert db.get_fragment(member_fragment["id"], ADMIN.id) is None assert db.get_idea(MEMBER.id, admin_idea["id"]) is None assert db.update_idea_override(MEMBER.id, admin_idea["id"], 80) is None assert db.curator_context(MEMBER.id)[0] == [] def test_apply_assessment_builds_trajectory(tmp_path: Path): db = database(tmp_path) first = db.create_fragment(ADMIN.id, "笔记不应该要求先分类") db.apply_assessments(ADMIN.id, first["id"], [assessment()]) ideas = db.list_ideas(ADMIN.id) assert len(ideas) == 1 assert ideas[0]["maturity"] == 38 assert ideas[0]["fragment_count"] == 1 second = db.create_fragment(ADMIN.id, "AI 的判断不能出现在记录流里") db.apply_assessments( ADMIN.id, second["id"], [assessment(ideas[0]["id"], maturity=46)], ) idea = db.get_idea(ADMIN.id, ideas[0]["id"]) assert idea["fragment_count"] == 2 assert len(idea["snapshots"]) == 2 assert idea["maturity"] == 46 def test_manual_position_is_authoritative(tmp_path: Path): db = database(tmp_path) fragment = db.create_fragment(ADMIN.id, "一个想法") db.apply_assessments(ADMIN.id, fragment["id"], [assessment(maturity=30)]) idea = db.list_ideas(ADMIN.id)[0] overridden = db.update_idea_override(ADMIN.id, idea["id"], 61) assert overridden["maturity"] == 61 assert overridden["maturity_ai"] == 30 assert overridden["is_overridden"] is True restored = db.update_idea_override(ADMIN.id, idea["id"], None) assert restored["maturity"] == 30 assert restored["is_overridden"] is False def test_existing_unowned_data_migrates_to_first_admin(tmp_path: Path): db = Database(tmp_path / "legacy.sqlite3") db.initialize() with db.connect() as connection: connection.execute( """ INSERT INTO fragments ( id, user_id, content, created_at, analysis_status ) VALUES ('legacy-fragment', NULL, '旧记录', '2026-01-01', 'done') """ ) connection.execute( """ INSERT INTO ideas ( id, user_id, title, summary, maturity_ai, confidence, motion, position, tension, trajectory, possible_moves, created_at, updated_at ) VALUES ( 'legacy-idea', NULL, '旧想法', '摘要', 10, .5, '浮现', '位置', '张力', '轨迹', '[]', '2026-01-01', '2026-01-01' ) """ ) db.initialize([ADMIN, MEMBER]) assert db.get_fragment("legacy-fragment", ADMIN.id)["content"] == "旧记录" assert db.get_idea(ADMIN.id, "legacy-idea")["title"] == "旧想法" assert db.get_fragment("legacy-fragment", MEMBER.id) is None def test_agent_run_records_metrics_and_events(tmp_path: Path): db = database(tmp_path) fragment = db.create_fragment(ADMIN.id, "可观测的一次分析") run_id = db.start_agent_run( ADMIN.id, fragment["id"], "deepseek-v4-pro", "prompt.v1", "high", ) db.add_agent_event( run_id, ADMIN.id, "tool_search_ideas", {"query": "可观测", "result_count": 0}, duration_ms=3, ) db.finish_agent_run( run_id, status="success", duration_ms=1200, attempt_count=1, model_rounds=2, tool_calls=1, search_calls=1, inspection_calls=0, input_tokens=100, output_tokens=50, reasoning_tokens=30, cached_tokens=20, ) run = db.get_agent_run(run_id) events = db.list_agent_events(run_id) overview = db.admin_overview() assert run["status"] == "success" assert run["reasoning_tokens"] == 30 assert [event["event_type"] for event in events] == [ "run_started", "tool_search_ideas", ] assert overview["last_24h"]["success_rate"] == 100