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textual-snapshot-testing文本快照测试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

58

周安装

8

GitHub Stars

1

下载量

65
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:textual-snapshot-testing(文本快照测试)
来源仓库:https://github.com/dawiddutoit/custom-claude
仓库路径:skills/textual-snapshot-testing
安装命令:
npx skills add https://github.com/dawiddutoit/custom-claude --skill textual-snapshot-testing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dawiddutoit/custom-claude --skill textual-snapshot-testing

简介

textual-snapshot-testing 用于辅助测试设计和回归验证。

  • 适合编写单元测试、端到端测试或根据失败日志定位问题。
  • 使用时需要确认项目测试框架、运行命令和夹具数据。
  • 涉及浏览器或外部服务时应区分本地模拟和测试环境。
  • 当前暂无底部简介内容,建议结合来源仓库查看具体实现细节。

SKILL.md

Textual Snapshot Testing

Visual regression testing using pytest-textual-snapshot to capture and compare SVG screenshots.

Quick Reference

# Basic snapshot test
def test_app_visual(snap_compare):
    assert snap_compare(MyApp())

# With user interaction
def test_after_input(snap_compare):
    assert snap_compare(MyApp(), press=["tab", "enter"])

# With custom terminal size
def test_responsive(snap_compare):
    assert snap_compare(MyApp(), terminal_size=(120, 40))

# With pre-snapshot setup
def test_stable(snap_compare):
    async def run_before(pilot):
        pilot.app.query_one(Input).cursor_blink = False
    assert snap_compare(MyApp(), run_before=run_before)

Setup

pip install pytest-textual-snapshot

The snap_compare fixture is automatically available after installation.

snap_compare API

def snap_compare(
    app: App | str | Path,           # App instance or path to app file
    *,
    press: list[str] | None = None,  # Keys to press before snapshot
    terminal_size: tuple[int, int] = (80, 24),  # Terminal dimensions
    run_before: Callable[[Pilot], Awaitable[None]] | None = None,  # Async setup
) -> bool

Workflow

  1. First run: Snapshot generated, test fails (by design)
  2. Review: Check HTML report, validate visual output
  3. Approve: Run pytest --snapshot-update to save baseline
  4. Subsequent runs: Compare against baseline, fail on differences
  5. Regression: Visual diff shown in HTML report

Key Patterns

Disable Animations (Prevents Flaky Tests)

def test_stable_snapshot(snap_compare):
    async def run_before(pilot):
        for widget in pilot.app.query("*"):
            widget.can_animate = False
    assert snap_compare(MyApp(), run_before=run_before)

Disable Cursor Blink

def test_input_snapshot(snap_compare):
    async def run_before(pilot):
        pilot.app.query_one(Input).cursor_blink = False
    assert snap_compare(MyApp(), run_before=run_before)

Wait for Workers Before Snapshot

def test_data_loaded(snap_compare):
    async def run_before(pilot):
        await pilot.press("r")  # Trigger load
        await pilot.app.workers.wait_for_complete()
    assert snap_compare(DataApp(), run_before=run_before)

Mock Time (Stable Timestamps)

from unittest.mock import patch
from datetime import datetime

def test_timestamp(snap_compare):
    with patch("myapp.datetime") as mock_dt:
        mock_dt.now.return_value = datetime(2025, 1, 1, 12, 0, 0)
        assert snap_compare(TimestampApp())

Complex Interaction Sequence

def test_command_palette(snap_compare):
    async def run_before(pilot):
        await pilot.press("ctrl+p")
        await pilot.pause()
        await pilot.press(*"search term")
        await pilot.pause()
        pilot.app.query_one(Input).cursor_blink = False
    assert snap_compare(MyApp(), run_before=run_before)

Snapshot Management

Update Snapshots

# Update all snapshots
pytest --snapshot-update

# Update specific test
pytest tests/test_app.py::test_specific --snapshot-update

Snapshot Storage

tests/
├── test_app.py
└── __snapshots__/
    └── test_app/
        └── test_my_feature.svg

Important: Commit __snapshots__/ to version control.

View Failure Reports

When tests fail, pytest generates HTML report with visual diff:

  • Left: Current rendering
  • Right: Historical baseline
  • Toggle: Overlay mode for subtle differences

CI/CD Integration

GitHub Actions

- name: Run snapshot tests
  run: pytest tests/snapshot -v

- name: Upload report on failure
  if: failure()
  uses: actions/upload-artifact@v4
  with:
    name: snapshot-report
    path: snapshot_report.html

Manual Snapshot Update Workflow

# .github/workflows/update-snapshots.yml
name: Update Snapshots
on: workflow_dispatch

jobs:
  update:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: pytest tests/snapshot --snapshot-update
      - run: |
          git add tests/__snapshots__/
          git commit -m "Update snapshot baselines"
          git push

Editor Integration

Open failed snapshots in your editor:

# VS Code
export TEXTUAL_SNAPSHOT_FILE_OPEN_PREFIX="code://file/"

# Cursor
export TEXTUAL_SNAPSHOT_FILE_OPEN_PREFIX="cursor://file/"

# PyCharm
export TEXTUAL_SNAPSHOT_FILE_OPEN_PREFIX="pycharm://"

Common Pitfalls

ProblemSolution
Flaky: Animation frame variesDisable animations in run_before
Flaky: Cursor blink state variesSet cursor_blink = False
Flaky: Timestamps changeMock datetime.now()
Snapshots not in VCSAdd __snapshots__/ to git
Different results in CIUse explicit terminal_size

See Also

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.84%
按下载量换算23

Claude

29.43%
按下载量换算19

Cursor

22.44%
按下载量换算15

Gemini CLI

9.76%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/dawiddutoit/custom-claude --skill textual-snapshot-testing 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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