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