script-build-and-framework-tmp/visualization/backend/tests/conftest.py

from __future__ import annotations

from copy import deepcopy

import pytest


@pytest.fixture
def current_bundle():
    bundle = {
        "record": {
            "id": 88001,
            "status": "running",
            "script_direction": "解释一家工厂怎样通过柔性排产减少浪费。",
            "summary": None,
            "error_message": None,
            "agent_config": {"model_name": "test-model"},
            "cost_usd": 1.2,
            "start_time": "2026-07-13T10:00:00",
            "end_time": None,
        },
        "rounds": [
            {
                "id": 1,
                "round_index": 1,
                "goal": "确定文章结构并补齐可靠行业事实",
                "multipath_plan": [
                    {"path_index": 1, "target": "文章结构"},
                    {"path_index": 2, "target": "行业事实"},
                    {"path_index": 3, "target": "结尾表达"},
                ],
                "race_or_divide": "分工",
                "plan_note": "内容方案和领域信息方案并行推进。",
                "status": "done",
            },
            {
                "id": 2,
                "round_index": 2,
                "goal": "补齐正文细节",
                "multipath_plan": [{"path_index": 1, "target": "正文"}],
                "race_or_divide": "赛马",
                "plan_note": None,
                "status": "open",
            },
        ],
        "branches": [
            _branch(1, 1, "内容", "形成三段式文章结构", "merged"),
            _branch(1, 2, "领域信息", "核实柔性排产数据", "discarded"),
            _branch(1, 3, "内容", "形成行动建议结尾", "parked"),
            _branch(2, 4, "内容", "补齐正文案例", "open"),
        ],
        "dataDecisions": [
            _data_decision(11, 1, 1, "采用案例中的三段结构", "结构能解释因果关系"),
            _data_decision(12, 1, 2, "采用两条交叉印证的数据", "两类来源结论一致"),
            _data_decision(13, 1, 3, "采用行动建议写法", None),
        ],
        "multipathDecisions": [
            {
                "id": 21,
                "script_build_id": 88001,
                "round_index": 1,
                "branch_ids": [1, 2],
                "decision": "采用方案 1；方案 2 的领域事实保留，但内容分支不采用。",
                "reasoning": "结构可直接进入主脚本，领域事实独立沉淀。",
                "created_at": "2026-07-13T10:03:00",
            },
            {
                "id": 22,
                "script_build_id": 88001,
                "round_index": 1,
                "branch_ids": [3],
                "decision": "方案 3 暂存。",
                "reasoning": "方向可用，但与正文衔接仍需调整。",
                "created_at": "2026-07-13T10:04:00",
            },
        ],
        "domainInfo": [
            {
                "id": 31,
                "script_build_id": 88001,
                "round_index": 1,
                "branch_id": 2,
                "content": "柔性排产可降低小批量切换损耗。",
                "source": [{"type": "report", "id": "R-1", "loc": "p.4"}],
                "note": "两份报告交叉印证",
                "created_at": "2026-07-13T10:02:30",
            }
        ],
        "events": [
            {
                "id": 39,
                "event_seq": 6,
                "event_type": "agent_invoke",
                "event_name": "script_multipath_evaluator",
                "round_index": 1,
                "status": "ok",
                "inputData": {"task": "比较 branch_id=1, branch_id=2"},
                "agentOutputData": {"summary": "### 分支评估 branch_id=1\n**该支结论**：通过\n**目标推进**：结构清晰。\n\n### 分支评估 branch_id=2\n**该支结论**：部分通过\n**目标推进**：事实可靠。\n\n### 对比与建议\n**采纳建议**：优先采用 branch_id=1。"},
                "started_at": "2026-07-13T10:02:40",
                "ended_at": "2026-07-13T10:02:50",
            },
            {
                "id": 40,
                "event_seq": 7,
                "event_type": "agent_invoke",
                "event_name": "script_multipath_evaluator",
                "round_index": 1,
                "status": "ok",
                "inputData": {"task": "评审 branch_id=3"},
                "agentOutputData": {"summary": "### 分支评估 branch_id=3\n**该支结论**：通过\n**目标推进**：结尾方向可用。\n\n### 对比与建议\n**采纳建议**：可以暂存后调整。"},
                "started_at": "2026-07-13T10:03:30",
                "ended_at": "2026-07-13T10:03:40",
            },
            {
                "id": 41,
                "event_seq": 8,
                "event_type": "agent_invoke",
                "event_name": "script_evaluator",
                "round_index": 1,
                "status": "ok",
                "title": "派发 script_evaluator (ok)",
                "input_preview": "请评估第1轮",
                "output_preview": "### 整体结论：部分通过\n仍需完善正文细节。",
                "agentOutputData": {"summary": "### 整体结论：部分通过\n仍需完善正文细节。"},
                "started_at": "2026-07-13T10:05:00",
                "ended_at": "2026-07-13T10:05:10",
            },
            {
                "id": 42,
                "event_seq": 9,
                "event_type": "agent_invoke",
                "event_name": "retrieve_data_knowledge",
                "status": "ok",
                "title": "无法归属的取数 Agent",
                "started_at": "2026-07-13T10:06:00",
                "ended_at": "2026-07-13T10:06:10",
            },
            {
                "id": 50,
                "event_seq": 10,
                "event_type": "agent_invoke",
                "event_name": "script_implementer",
                "agent_role": "script_implementer",
                "round_index": 1,
                "branch_id": 1,
                "status": "ok",
                "started_at": "2026-07-13T10:00:00",
                "ended_at": "2026-07-13T10:02:00",
            },
            {
                "id": 51,
                "event_seq": 11,
                "event_type": "tool_call",
                "event_name": "get_script_snapshot",
                "agent_role": "script_implementer",
                "scope_event_id": 50,
                "round_index": 1,
                "branch_id": 1,
                "status": "ok",
                "inputData": {},
                "output_preview": "{\"count\": 1}",
                "started_at": "2026-07-13T10:00:05",
                "ended_at": "2026-07-13T10:00:06",
            },
            {
                "id": 52,
                "event_seq": 12,
                "event_type": "agent_invoke",
                "event_name": "retrieve_data_decode_case",
                "parent_event_id": 50,
                "scope_event_id": 50,
                "round_index": 1,
                "branch_id": 1,
                "status": "ok",
                "inputData": {"task": "查找可说明因果结构的解构 Case"},
                "agentOutputData": {"summary": "初筛出两个可用的三段式案例。"},
                "started_at": "2026-07-13T10:00:10",
                "ended_at": "2026-07-13T10:00:40",
            },
            {
                "id": 53,
                "event_seq": 13,
                "event_type": "tool_call",
                "event_name": "search_script_decode_case",
                "scope_event_id": 52,
                "parent_event_id": 52,
                "round_index": 1,
                "branch_id": 1,
                "status": "ok",
                "inputData": {"keyword": "因果结构"},
                "output_preview": "{\"count\": 2}",
                "started_at": "2026-07-13T10:00:15",
                "ended_at": "2026-07-13T10:00:20",
            },
            {
                "id": 54,
                "event_seq": 14,
                "event_type": "tool_call",
                "event_name": "search_script_decode_case",
                "scope_event_id": 52,
                "parent_event_id": 52,
                "round_index": 1,
                "branch_id": 1,
                "status": "ok",
                "inputData": {"keyword": "柔性排产"},
                "output_preview": "{\"count\": 0}",
                "started_at": "2026-07-13T10:00:25",
                "ended_at": "2026-07-13T10:00:30",
            },
        ],
        "ignoredLegacyDataDecisionCount": 2,
        "currentArtifact": {
            "paragraphs": [{"id": 1}, {"id": 2}, {"id": 3}],
            "elements": [{"id": 10}, {"id": 11}],
            "paragraphElements": [{"id": 100, "paragraph_id": 1, "element_id": 10}],
            "sourceOrigin": "database",
        },
    }
    return deepcopy(bundle)


def _branch(round_index: int, branch_id: int, path_type: str, task: str, status: str):
    snapshot = {
        "paragraphs": [{"id": branch_id * 100, "name": task}],
        "elements": [{"id": branch_id * 1000}],
        "paragraphElements": [],
    }
    return {
        "id": branch_id,
        "script_build_id": 88001,
        "branch_id": branch_id,
        "round_index": round_index,
        "path_type": path_type,
        "target": task,
        "impl_task": task,
        "self_assessment": f"已经完成：{task}",
        "status": status,
        "decision_reasoning": f"方案 {branch_id} 的当前处理理由",
        "candidate_snapshot": {
            "snapshot": snapshot if path_type == "内容" else None,
            "snapshotKind": "saved-at-disposition" if status in {"merged", "discarded"} else "current-overlay",
            "historicalAccuracy": "exact" if status in {"merged", "discarded"} else "unknown",
            "currentProjectionAccuracy": "exact" if status in {"open", "parked"} else "not-applicable",
            "note": "测试候选版本",
        },
    }


def _data_decision(record_id: int, round_index: int, branch_id: int, decision: str, reasoning: str | None):
    return {
        "id": record_id,
        "script_build_id": 88001,
        "round_index": round_index,
        "branch_id": branch_id,
        "sources": [{"data_type": "领域信息", "data_id": f"S-{record_id}", "data_content": "已核实材料"}],
        "decision": decision,
        "reasoning": reasoning,
        "created_at": "2026-07-13T10:02:00",
    }