Files
msime-windows/server/tests
fanlusky 663f72301d fix(server): 独立上屏的整句候选也落库
上一个提交改的是 InputSession::commit(),而 Windows 前端根本不走那条路:选词由
ProcessSelectionKey 自己驱动。那里 CandidateSource::Generated 走提前返回,落库的
闸门 ShouldStoreEarlyReturnPhrase 要求造词前缀非空,也就是只认"先选前缀、再用整句
收尾"这一种形状;用户直接选一条完整的整句时 creating_word 没激活,条件为假,什么
也不做就返回了。Google 解码器那条整句(Fallback)不在提前返回的名单里,走普通
路径,但同样没有行可以调频。

因此拆出 ShouldStoreStandaloneSentence:整句候选独立上屏时就该落库,带 7 音节
上限(对标 quanpin::WordLatticeOptions::max_phrase_syllables)。接在造词前缀
后面的那一支由用户一段段选出来,维持原样不设限。

顺带修掉同一处的读音拼接:前缀为空时不能带上那个分隔符,'na'yi'tiao 这种前导
撇号会让整条读音作废。

原先有一条测试把这个缺陷钉住了(断言没有前缀就不落库),按新的意图翻过来。
2026-09-19 13:48:26 +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.