Files
msime-windows/server/tests
Evan 6341b4fffc fix(server): 出厂配置的占位凭据不再被当作真凭据
IsPlaceholderToken 与 IsUsableSecret 都只识别 `<YOUR_OWN_` 前缀,而 config.default.toml 实际使用
`<YOUR_XXX>` 和 `FAKESECRET_` 两种写法,18 个占位符无一被识别。叠加 ai_assistant.enabled、
voice_input.voice_input、tencent_tmt.enabled 三项默认为 true,全新安装在用户未做任何配置的情况下
就会把输入串发往 api.deepseek.com、把候选文本发往 tmt.tencentcloudapi.com——请求虽然鉴权失败,
内容已经离开本机。

两处判定改为按占位符的形状判断,并新增 test_default_config_credentials:它直接读安装器实际打包的
config.default.toml,逐条校验没有任何凭据被当成可用值,因此换一种占位符写法也会被拦下。
2026-09-06 11:56:11 +09:00
..
2026-06-20 22:11:00 +08:00
2026-06-20 22:11:00 +08:00
2025-04-20 17:44:33 +08:00
2025-04-21 18:32:45 +08:00

Tests

This project now includes a lightweight regression test target wired into the main CMake build.

What It Covers

Current tests focus on high-value IME behaviors that are easy to accidentally break during refactors:

  • shuangpin scheme request construction
  • quanpin scheme request construction
  • case-preserving shuangpin segmentation
  • full-helpcode detection
  • engine + shuangpin continuation behavior
  • cloud suggestion trigger timing for shuangpin

The goal is not to fully simulate the whole IME UI pipeline yet. The goal is to protect the core input rules and session behavior.

Build and run

Run these commands from the MSIME-Windows repository root after preparing vcpkg and Boost with python server/scripts/prepare_env.py:

python scripts/product_lock.py fetch-dictionaries --staging-root .
if ($LASTEXITCODE -ne 0) { throw 'Dictionary verification failed' }
$env:LOCALAPPDATA = Join-Path $PWD 'build/test-data/user-local'
$env:METASEQUOIA_IME_DATA_DIR = Join-Path $env:LOCALAPPDATA 'metasequoiaime'
New-Item -ItemType Directory -Force $env:METASEQUOIA_IME_DATA_DIR | Out-Null
Copy-Item MetasequoiaImeDict/out/* $env:METASEQUOIA_IME_DATA_DIR -Force
Copy-Item vendor/MetasequoiaImeEngine/helpcode/helpcodes $env:METASEQUOIA_IME_DATA_DIR -Recurse -Force
Copy-Item server/assets/tables/* $env:METASEQUOIA_IME_DATA_DIR -Force
Copy-Item server/assets/config/config.toml $env:METASEQUOIA_IME_DATA_DIR -Force
.\server\tests\scripts\llaunch.ps1 -Configuration Release

Use a dedicated PowerShell terminal: these environment variables isolate both Windows helpers and the shared Engine from the installed user's data for the rest of that session. The scripts run CTest; they do not launch the interactive Server, install or register the input method. CI additionally runs the native Win32/x64 pipe probe after building the full Server.

Tests belong to the Server CMake project, which provides the Engine, GUI and third-party targets. server/tests/CMakeLists.txt is an add_subdirectory input, not an independent project. The obsolete test presets have been removed; an old locally generated server/tests/CMakePresets.json is no longer used.

Once test data is prepared, the convenience scripts work from any directory:

.\server\tests\scripts\llaunch.ps1 -Configuration Release  # build, then CTest
.\server\tests\scripts\lrun.ps1 -Configuration Release     # CTest only

Omitting -Configuration selects Debug in server/build; Release uses server/build-release. Both compile MetasequoiaImeServerTests and test_webview_contract in the parent build tree. Configuration, compilation, test failures and an empty CTest registry return failure rather than launching a stale executable or reporting success.

The equivalent direct CTest command from the repository root is:

ctest --test-dir server/build-release -C Release --output-on-failure --no-tests=error

Test Layout

  • tests/src/main.cpp
    • tiny custom test runner
  • tests/includes/test_framework.h
    • lightweight assertion helpers
  • tests/src/test_shuangpin_scheme.cpp
    • shuangpin scheme unit tests
  • tests/src/test_quanpin_scheme.cpp
    • quanpin scheme unit tests
  • tests/src/test_shuangpin_query.cpp
    • query/helper function tests
  • tests/src/test_engine_shuangpin_session.cpp
    • session-level behavior tests

When you change input behavior, add a regression test if the change affects:

  • input segmentation
  • space/enter/backspace behavior
  • helpcode handling
  • continuation after candidate selection
  • create-word flow
  • cloud suggestion timing

The best tests in this project are the ones that capture a concrete input example that previously broke.