106 lines
3.7 KiB
Python
106 lines
3.7 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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contract domain 的批量回归脚本。
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这里故意不用 yaml 驱动每一轮,而是直接用 Python 写出来,
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这样每个用例在代码里都能看清楚“为什么要跑”和“跑完看什么”。
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以 filtered_datasource 中的批量合同数据作为基础数据集,
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再用两轮 overlay 聚焦验证一条目标合同的 create / update 行为。
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当前保留两个核心用例:
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1. round_1_create
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- 目的:确认一条合同可以正常创建到远端。
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- 判断方式:
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- pipeline 返回码必须是 0;
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- 合同必须建立绑定;
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2. round_2_update
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- 目的:确认对同一条合同修改几个典型字段后,系统还能继续识别并推送 update。
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- 本轮修改字段:
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- total_price
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- manager_name
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- manager_phone
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- sign_date
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- 判断方式:
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- pipeline 返回码必须是 0;
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- 绑定仍然存在;
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- 数据集中的预期变更字段必须真的发生了变化。
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"""
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dataset_root = f"{config['project_root']}/tests/fixtures/auto_sync/datasource/contract"
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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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"supplier_1.jsonl",
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"contract_1.jsonl",
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]
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local_contract_id = "92e3de18-354c-4acf-9cb5-58ee55708fbd"
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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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# 用例 1:创建合同
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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="contract",
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round_name="round_1_create",
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purpose="首轮创建合同",
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required_bindings={"contract": [local_contract_id]},
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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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# 用例 2:更新合同几个基础字段
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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="contract",
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round_name="round_2_update",
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purpose="第二轮修改合同金额、负责人和签约日期,验证 update",
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expected_changes={
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"contract": {
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local_contract_id: [
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"total_price",
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"manager_name",
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"manager_phone",
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"sign_date",
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]
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}
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},
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required_bindings={"contract": [local_contract_id]},
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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="contract",
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description="合同 domain 的批量闭环测试。基于 filtered_datasource 中的批量 company/project/supplier/contract 数据,先建立合同绑定,再修改其中 1 条合同,检查批量场景下的绑定、状态库和 update 行为。",
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rounds=rounds,
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) |