Files
query-payslip-default/tests/desktop/test_desktop_smoke_with_attachment.py.sample
skill-dev 3db196e49d feat: 工资查询助手首版 v1.0.105
基于 skill-template 脚手架开发,包含:
- payroll_config(费率配置,可编辑)+ payslip_snapshots(解析历史,只读)2 张业务表
- 全国默认 + 北上广 4 套费率(社保/公积金/个税起征点/7 级税率表)
- 5 个业务 Action:calculate-payslip-simple / calculate-payslip-full / explain-term / view-config / edit-config
- 个税累计预扣法计算,支持多月历史累加
- 20 个薪资名词库(社保/公积金/个税/全勤/加班费等)
- 完整市场文档(README/TUTORIAL/DEMO/CHANGELOG)
- 296 测试全部通过
2026-09-07 17:02:05 +08:00

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# -*- coding: utf-8 -*-
"""
可选桌面 E2E 示例(默认不执行:文件名后缀为 .sample)—— **附件上传 + 长流程场景**。
启用方式:
1. 复制为 test_desktop_smoke_with_attachment.py
2. 修改 SKILL_SLUG / PROMPT / 断言为你技能的真实业务
3. 准备样例附件,或动态生成(参考 _prepare_sample_attachment)
4. 运行:pytest tests/desktop/test_desktop_smoke_with_attachment.py -v -s
依赖:
- pytest / jiangchang_desktop_sdk / 匠厂桌面宿主已就绪
- 通过 conftest.py 自动 bootstrap,jiangchang_desktop_sdk.e2e_helpers 模块在 sys.path
【为什么用此模板而不是 test_desktop_smoke.py.sample】
- client.send_file() 在 v2.0.17+ 抛 NotImplementedError,必须用拖拽方式
- client.ask() 在 user_idx<0 时会锁死(已知 SDK 缺陷),本模板绕开 ask(),
在测试侧自己用 jiangchang_desktop_sdk.e2e_helpers 做等待
【字幕配合】
- 关键节点都打了 _logger.info("step: N/7 ..."),对应 record_screencast.py 的
SUBTITLE_SCRIPT 用 step: 关键词触发字幕
"""
from __future__ import annotations
import logging
import os
from pathlib import Path
import pytest
from jiangchang_desktop_sdk import JiangchangDesktopClient
from jiangchang_desktop_sdk.e2e_helpers import (
drop_file_into_composer,
send_prompt_via_composer,
wait_for_agent_complete,
wait_for_attachment_ready,
wait_for_composer_enabled,
wait_for_user_message,
)
# ============================================================
# ↓↓↓ 复制后修改这些 ↓↓↓
# ============================================================
SKILL_SLUG = "query-payslip-default"
PROMPT = (
"请使用 /query-payslip-default 处理我刚才上传的文件。"
"完成后请用清单方式汇总:[改成你技能要求的字段]。"
)
# 业务断言:根据你的技能输出修改
EXPECTED_KEYWORDS_IN_REPLY = ["关键词1", "关键词2"]
# ============================================================
_logger = logging.getLogger("desktop-e2e-with-attachment-sample")
if not _logger.handlers:
_logger.setLevel(logging.INFO)
_h = logging.StreamHandler()
_h.setFormatter(logging.Formatter("[E2E] %(message)s"))
_logger.addHandler(_h)
_ARTIFACT_DIR = os.path.join(os.path.dirname(__file__), "artifacts")
def _prepare_sample_attachment(tmp_path: Path) -> Path:
"""在 tmp_path 下生成一个样例附件(按 skill 真实需要修改)。
示例:生成一个 5 行的 xlsx。你的 skill 可能需要 CSV / PDF / 图片等其他格式。
"""
from openpyxl import Workbook # noqa: WPS433
xlsx = tmp_path / "sample.xlsx"
wb = Workbook()
ws = wb.active
ws.append(["列1", "列2", "列3"])
for i in range(1, 6):
ws.append([f"值{i}A", f"值{i}B", i * 100])
wb.save(str(xlsx))
return xlsx
@pytest.fixture
def client(request):
c = JiangchangDesktopClient()
_logger.info("ensure_app_running")
c.ensure_app_running(wait_timeout_s=45)
c.bring_to_front()
c.wait_gateway_ready(timeout_ms=30000)
yield c
try:
rep = getattr(request.node, "rep_call", None)
if rep is not None and rep.failed:
os.makedirs(_ARTIFACT_DIR, exist_ok=True)
paths = c.snapshot(_ARTIFACT_DIR, tag=request.node.name)
_logger.error("failure snapshot: %s", paths)
finally:
c.disconnect()
def test_desktop_with_attachment(client: JiangchangDesktopClient, tmp_path: Path) -> None:
_logger.info("step: 1/7 准备样例附件")
attachment_path = _prepare_sample_attachment(tmp_path)
client.new_task()
page = client.get_page()
client.bring_to_front()
_logger.info("step: 2/7 拖拽附件到聊天框")
drop_file_into_composer(page, attachment_path)
_logger.info("step: 3/7 等附件 stage-buffer 完成")
wait_for_attachment_ready(page, attachment_path.name)
wait_for_composer_enabled(page)
client.bring_to_front()
_logger.info("step: 4/7 键入并发送指令")
send_prompt_via_composer(page, PROMPT)
_logger.info("step: 5/7 Main Agent 接收,等待路由到技能")
user_idx = wait_for_user_message(page, PROMPT, timeout_s=60.0)
_logger.info("step: 6/7 技能在后端执行(可能 2-3 分钟)")
client.bring_to_front()
reply = wait_for_agent_complete(
page, user_idx,
overall_timeout_s=1200.0,
stable_seconds=5.0,
)
_logger.info("step: 7/7 校验回复内容")
_logger.info("reply length=%d", len(reply))
assert reply, "assistant 回复为空"
for kw in EXPECTED_KEYWORDS_IN_REPLY:
assert kw in reply, f"期望关键词 {kw!r} 未出现在回复中;片段:{reply[:400]!r}"