Files
ecm_sync_system/scripts/auto_test_domains/contract_settlement_case.py
T
strepsiades 4a9c444b10 first commit
2026-03-09 16:31:42 +08:00

104 lines
4.0 KiB
Python

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]:
"""
contract_settlement domain 的批量闭环回归。
这里仍按真实依赖来组织数据,并以 filtered_datasource 中的批量
supplier -> contract -> settlement 数据作为基础集:
- settlement 依赖 `project_id`
- settlement 依赖 `contract_id`
- contract 又依赖 supplier
- 第二轮 settlement 的计划更新,会同步影响同一条 contract 的
`sign_date` 与 `total_price`
所以这里不用“缺供应商的空合同”,而是直接选一组
filtered_datasource 中真实存在、关系完整的 supplier -> contract -> settlement。
"""
dataset_root = f"{config['project_root']}/tests/fixtures/auto_sync/datasource/contract_settlement"
filtered_root = f"{config['project_root']}/filtered_datasource/datasource/filtered"
base_dataset_files = [
"company_1.jsonl",
"project_1.jsonl",
"supplier_1.jsonl",
"contract_1.jsonl",
"contract_settlement_1.jsonl",
]
local_supplier_id = "e88c8c18-bc49-4bab-acc5-6fb78f4c7f8f"
local_contract_id = "eba6d9e0-fad4-456d-a325-38f5bd064b33"
local_settlement_id = "c4ded355-fb10-46e8-b829-442bf42c16f1"
project_id_remap = {
"remote_project_id": REMOTE_PROJECT_ID,
"local_project_id": LOCAL_PROJECT_ID,
"remap_node_types": {"project"},
}
rounds: list[dict[str, Any]] = []
# 用例 1:用真实依赖链先建立 supplier / contract / settlement 的绑定关系。
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="contract_settlement",
round_name="round_1_create",
purpose="首轮建立 supplier、contract、contract_settlement 的真实依赖链",
required_bindings={
"supplier": [local_supplier_id],
"contract": [local_contract_id],
"contract_settlement": [local_settlement_id],
},
project_id_remap=project_id_remap,
report_root=report_root,
)
rounds.append(round_1)
# 用例 2:这条 rejected settlement 允许再次修改计划。
# 本轮同时更新 settlement 与其对应 contract 的关键字段,保持两边一致。
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="contract_settlement",
round_name="round_2_update",
purpose="第二轮更新结算计划,并同步更新关联合同金额和签订日期",
expected_changes={
"contract_settlement": {
local_settlement_id: [
"contract_price",
"plan_start_date",
"plan_complete_date",
"plan_node",
]
}
},
required_bindings={
"supplier": [local_supplier_id],
"contract": [local_contract_id],
"contract_settlement": [local_settlement_id],
},
project_id_remap=project_id_remap,
report_root=report_root,
)
rounds.append(round_2)
return build_domain_report(
domain="contract_settlement",
description="合同结算 domain 的批量闭环测试。基于 filtered_datasource 中真实存在的批量 supplier -> contract -> settlement 数据,验证 settlement 计划更新时不会破坏上游依赖,并保持批量场景下的状态库与绑定正常。",
rounds=rounds,
)