Files
msime-windows/server/tests
Jia Sui 94abc08e7c feat(engine): ü 系拼写别名归一,非标准拼法候选带轻标记
nue/lue 是词库标准键 nve/lve 的混拼别名,此前按原样查库必然落空。
把别名归一收敛到 resolve_segments 唯一咽喉点(jqxy 系 jv→ju 既有行为
一并收敛),查询、调频、造词键全部落到标准拼法上;别名改写同步进
pinyin_segmentation_,mark_autocorrect_candidates 据此给非标准拼法的
候选写 corrected_from,前端以词尾 * 轻标记提示(对标搜狗纠错星标),
提交、调频、置顶、造词不受影响。

契约翻转:fold_autocorrect_letters 不再把 v 折叠成 u——旧契约
「别名永不标记」按产品决策废弃,别名即标记;nu/nv、lu/lv 是真实
不同音节,归一按段精确匹配 [nl]ue,绝不互串,nu'e 手动分隔符不受
影响。composition 层显示折叠保留(职责是分隔符重建的等价分类),
注释改写说明与字典侧标记契约的分工。
2026-09-13 15:56:29 +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 engine/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.