strepsiades
99 lines
3.4 KiB
Python
99 lines
3.4 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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construction_task domain 的最小闭环回归。
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这个 domain 重点不是数量覆盖，而是把两个 update 接口都至少打通一次：
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1. ConstructionUpdate
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- 用 `is_crucial` 变化验证基础信息更新。
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2. ConstructionPlanUpdate
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- 用 `plan_start_date`
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- `plan_complete_date`
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- `contract_quantity`
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- `plan_node`
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验证计划信息更新。
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因此这里只保留两轮：
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- round_1_create: 创建 1 条施工任务。
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- round_2_update: 同一条任务同时修改基础信息和计划信息。
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"""
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dataset_root = f"{config['project_root']}/tests/fixtures/auto_sync/datasource/construction_task"
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filtered_root = f"{config['project_root']}/filtered_datasource/datasource/filtered"
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local_task_id = "0200848d-d9e7-4372-a6f6-f768bac13955"
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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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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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"construction_task_1.jsonl",
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]
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rounds: list[dict[str, Any]] = []
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# 用例 1：先把施工任务创建到远端，并确认绑定建立成功。
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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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domain_name="construction_task",
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round_name="round_1_create",
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purpose="首轮创建施工任务",
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required_bindings={"construction_task": [local_task_id]},
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base_dataset_dir=filtered_root,
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base_dataset_files=base_dataset_files,
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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：同一条任务同时修改基础字段和计划字段，覆盖两个 update 接口。
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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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domain_name="construction_task",
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round_name="round_2_update",
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purpose="第二轮修改关键任务标记和计划节点，验证 base update + plan update",
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expected_changes={
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"construction_task": {
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local_task_id: [
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"is_crucial",
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"plan_start_date",
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"plan_complete_date",
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"contract_quantity",
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"plan_node",
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]
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}
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},
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required_bindings={"construction_task": [local_task_id]},
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base_dataset_dir=filtered_root,
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base_dataset_files=base_dataset_files,
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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="construction_task",
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description="施工任务 domain 的最小闭环测试。先创建 1 条任务，再在第二轮同时覆盖基础信息更新和计划信息更新。",
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rounds=rounds,
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)
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