from __future__ import annotations from typing import Any from auto_test_domains.base import build_domain_report, make_local_data_id, run_pipeline_round REMOTE_PROJECT_ID = "f3e02e84-e81c-4aa6-88d4-f5aa108c8227" LOCAL_PROJECT_ID = make_local_data_id("project", REMOTE_PROJECT_ID) def run_case(config: dict[str, Any], report_root) -> dict[str, Any]: """ personnel_detail domain 的批量闭环回归。 选 1 条真实存在的 personnel 作为 parent,构造 2 条新的 personnel_detail: 1. round_1_create - 建立 personnel -> personnel_detail 绑定; - 覆盖 detail create 接口。 2. round_2_update - 同时修改 2 条 detail 的 quantity / remark; - 覆盖按 personnel_id 分组的批量 update 接口。 """ dataset_root = f"{config['project_root']}/tests/fixtures/auto_sync/datasource/personnel_detail" filtered_root = f"{config['project_root']}/filtered_datasource/datasource/filtered" base_dataset_files = [ "company_1.jsonl", "project_1.jsonl", "contract_1.jsonl", "personnel_1.jsonl", ] local_personnel_id = "2006708a-dae4-4874-9207-22889cf2c886" local_detail_ids = [ "1cda9548-ff40-431d-a012-fdb4dc8ce7f1", "b21b0365-6134-409a-9fa1-d0f6c1d22944", ] project_id_remap = { "remote_project_id": REMOTE_PROJECT_ID, "local_project_id": LOCAL_PROJECT_ID, "remap_node_types": {"project"}, } rounds: list[dict[str, Any]] = [] round_1 = run_pipeline_round( config=config, dataset_dir=f"{dataset_root}/round_1_create", previous_dataset_dir=None, base_dataset_dir=filtered_root, base_dataset_files=base_dataset_files, domain_name="personnel_detail", round_name="round_1_create", purpose="首轮在同一 personnel 下创建 2 条明细,建立 parent/detail 绑定", required_bindings={ "personnel": [local_personnel_id], "personnel_detail": local_detail_ids, }, expected_bound_fields={ "remote": { "personnel_detail": { "1cda9548-ff40-431d-a012-fdb4dc8ce7f1": { "date": "2024-06-15", "quantity": 12, }, "b21b0365-6134-409a-9fa1-d0f6c1d22944": { "date": "2024-08-01", "quantity": 18, }, } } }, coverage={ "api": ["POST /personnel/detail/create"], "notes": "在同一 personnel 下创建 2 条新 detail,覆盖明细 create 路径。", }, project_id_remap=project_id_remap, report_root=report_root, ) rounds.append(round_1) round_2 = run_pipeline_round( config=config, dataset_dir=f"{dataset_root}/round_2_update", previous_dataset_dir=f"{dataset_root}/round_1_create", base_dataset_dir=filtered_root, base_dataset_files=base_dataset_files, domain_name="personnel_detail", round_name="round_2_update", purpose="第二轮同时修改 2 条 personnel_detail,验证按 personnel_id 分组的批量 update", expected_changes={ "personnel_detail": { "1cda9548-ff40-431d-a012-fdb4dc8ce7f1": ["quantity", "remark"], "b21b0365-6134-409a-9fa1-d0f6c1d22944": ["quantity", "remark"], } }, required_bindings={ "personnel": [local_personnel_id], "personnel_detail": local_detail_ids, }, expected_bound_fields={ "remote": { "personnel_detail": { "1cda9548-ff40-431d-a012-fdb4dc8ce7f1": { "quantity": 15, "remark": "自动化更新-明细1", }, "b21b0365-6134-409a-9fa1-d0f6c1d22944": { "quantity": 22, "remark": "自动化更新-明细2", }, } } }, coverage={ "api": ["PUT /personnel/detail/update"], "notes": "两条 detail 共用同一个 personnel_id,显式覆盖批量 detail update 接口。", }, project_id_remap=project_id_remap, report_root=report_root, ) rounds.append(round_2) return build_domain_report( domain="personnel_detail", description="人员明细 domain 的批量闭环测试。基于真实 personnel parent,先创建 2 条新 detail,再在第二轮同时更新两条明细,验证绑定与批量 update。", rounds=rounds, )