Files
msime-windows/engine/core/candidate_queries.cpp
T
fanlusky a7779d2b05 refactor(engine): 将 engine 从 submodule 内嵌为仓内一等组件
`vendor/MetasequoiaImeEngine` submodule 改为 `engine/` 目录,导入的是
product-lock.json 原本钉住的提交 c810d201,逐文件核对过 blob,因此这是一次
搬迁而不是引擎升级。引擎自己的嵌套 submodule(googlepinyinime-rev、utfcpp、
miniaudio)按各自 gitlink 一并展开,来源与提交见 engine/UPSTREAM.md。

Windows 专门化裁掉了不属于本产品的部分:whisper.cpp 与本地推理 provider、
macOS 示例宿主、整个 dictionary/ 建库流水线、上游 CI 与 release-please 配置。
词库仍按 product-lock.json 在构建时取发布产物。

引擎不再进 product-lock.json:没有 gitlink 就没有可比对的东西,锁里写一个上游
commit 等于宣称这棵树仍等于上游,而第一个 Windows 专门化改动落地时这句话就假了。
verify-contracts / verify-checkout 随之移除,verify-published 保留。

CI 与工具链:引擎源码并入根 scripts/format.sh(删掉引擎自己的那份,避免两套排除
列表分叉);引擎 voice.yml 里的 silero_vad.onnx 摘要校验移到本仓 lock job;
engine-bump-triage 工作流与其测试删除;gitsubmodule 的 dependabot 频率由 daily
改为 monthly。

README、README.en、AGENTS.md、CONTRIBUTING、docs/product-release.md 及各子目录
文档同步说明新的位置与边界。
2026-09-12 03:40:48 +08:00

209 lines
8.6 KiB
C++

#include "candidate_queries.h"
#include "data_path.h"
#include "../contracts/assets/assets.h"
#include "../local_modes/emoji_query.h"
#include "../local_modes/jianpin_query.h"
#include "../local_modes/kaomoji_query.h"
#include "../local_modes/quick_phrase_query.h"
#include "../local_modes/unicode_query.h"
#include <algorithm>
#include <cctype>
#include <iterator>
#include <unordered_set>
namespace metasequoia
{
local_modes::LocalQueryResult CandidateQueries::local(LocalInputMode mode, const std::string &preedit,
SchemeType scheme,
const std::function<local_modes::LocalDateTime()> &clock,
const std::vector<WordItem> &engine_candidates)
{
local_modes::LocalQueryResult result;
switch (mode)
{
case LocalInputMode::Unicode:
result.candidates = local_modes::query_unicode(preedit.substr(1));
return result;
case LocalInputMode::DateTime: {
const local_modes::LocalDateTime now = clock ? clock() : local_modes::current_local_date_time();
result.candidates = local_modes::query_date_time(preedit.substr(1), &now);
return result;
}
case LocalInputMode::QuickPhrase: {
local_modes::QuickPhraseQueryResult query =
local_modes::query_quick_phrases(preedit.substr(1), paths_.dictionary(assets::main_dictionary));
result.candidates = std::move(query.candidates);
result.diagnostic = std::move(query.diagnostic);
return result;
}
case LocalInputMode::Emoji: {
local_modes::LocalQueryResult query = local_modes::query_emoji(
preedit.substr(1), scheme, paths_.resource(assets::other_dictionary), 10, shuangpin_profile_);
result.candidates = std::move(query.candidates);
result.diagnostic = std::move(query.diagnostic);
return result;
}
case LocalInputMode::Kaomoji: {
local_modes::LocalQueryResult query = local_modes::query_kaomoji(
preedit.substr(1), scheme, paths_.resource(assets::other_dictionary), 10, shuangpin_profile_);
result.candidates = std::move(query.candidates);
result.diagnostic = std::move(query.diagnostic);
return result;
}
case LocalInputMode::SuperJianpin: {
const std::string code = preedit.substr(1);
const int limit = code.size() == 1 ? 24 : 100;
local_modes::LocalQueryResult query = local_modes::query_jianpin(
code, scheme, paths_.dictionary(assets::main_dictionary), limit, shuangpin_profile_);
result.candidates = std::move(query.candidates);
result.diagnostic = std::move(query.diagnostic);
return result;
}
case LocalInputMode::TemporaryEnglish: {
const std::string raw = preedit.substr(1);
result.candidates.clear();
if (raw.empty())
{
return result;
}
result.candidates.emplace_back("", raw, 0, CandidateSource::Generated);
std::string prefix = raw;
std::transform(prefix.begin(), prefix.end(), prefix.begin(),
[](unsigned char character) { return static_cast<char>(std::tolower(character)); });
auto completions = english_dictionary().query_prefix(prefix, 1000);
completions.erase(std::remove_if(completions.begin(), completions.end(),
[&](const WordItem &candidate) {
if (candidate.word.size() != raw.size())
{
return false;
}
return std::equal(candidate.word.begin(), candidate.word.end(),
raw.begin(),
[](unsigned char left, unsigned char right) {
return std::tolower(left) == std::tolower(right);
});
}),
completions.end());
result.candidates.insert(result.candidates.end(), std::make_move_iterator(completions.begin()),
std::make_move_iterator(completions.end()));
return result;
}
case LocalInputMode::TemporaryJapanese:
result.candidates = engine_candidates;
return result;
case LocalInputMode::None:
result.candidates.clear();
return result;
}
return result;
}
std::vector<WordItem> CandidateQueries::mixed(std::vector<WordItem> candidates, const std::string &prefix,
SchemeType scheme, EnglishInputOptions english_options,
MixedExpressiveOptions expressive_options, bool dedicated_english,
LocalInputMode local_mode)
{
if ((!english_options.mixed_candidates && !expressive_options.emoji_candidates &&
!expressive_options.kaomoji_candidates) ||
dedicated_english || local_mode != LocalInputMode::None ||
(scheme != SchemeType::Quanpin && scheme != SchemeType::Shuangpin))
{
return candidates;
}
if (prefix.empty())
{
return candidates;
}
std::unordered_set<std::string> seen;
for (const auto &candidate : candidates)
{
seen.insert(candidate.word);
}
const auto collect_unique = [&](std::vector<WordItem> candidates) {
std::vector<WordItem> unique;
unique.reserve(candidates.size());
for (auto &candidate : candidates)
{
if (seen.insert(candidate.word).second)
{
unique.push_back(std::move(candidate));
}
}
return unique;
};
std::vector<WordItem> english_candidates;
const bool lower_ascii_prefix = std::all_of(
prefix.begin(), prefix.end(), [](unsigned char character) { return character >= 'a' && character <= 'z'; });
if (english_options.mixed_candidates && prefix.size() >= english_options.minimum_prefix && lower_ascii_prefix)
{
english_candidates = collect_unique(english_dictionary().query_prefix(prefix, 5));
}
std::vector<WordItem> emoji_candidates;
if (expressive_options.emoji_candidates && prefix.size() >= 2)
{
emoji_candidates = collect_unique(
local_modes::query_emoji(prefix, scheme, paths_.resource(assets::other_dictionary), 3, shuangpin_profile_)
.candidates);
}
std::vector<WordItem> kaomoji_candidates;
if (expressive_options.kaomoji_candidates && prefix.size() >= 2)
{
kaomoji_candidates = collect_unique(
local_modes::query_kaomoji(prefix, scheme, paths_.resource(assets::other_dictionary), 3, shuangpin_profile_)
.candidates);
}
std::size_t priority_slot = std::min<std::size_t>(1, candidates.size());
const auto has_source = [&](CandidateSource source) {
return std::any_of(candidates.begin(), candidates.end(),
[source](const WordItem &candidate) { return candidate.source == source; });
};
if (has_source(CandidateSource::CloudSuggestion))
{
priority_slot = std::min<std::size_t>(2, candidates.size());
}
if (has_source(CandidateSource::AiSuggestion))
{
priority_slot = std::min<std::size_t>(3, candidates.size());
}
const auto insert_leading = [&](std::vector<WordItem> &source) {
if (source.empty())
{
return;
}
candidates.insert(candidates.begin() + static_cast<std::ptrdiff_t>(priority_slot), std::move(source.front()));
source.erase(source.begin());
++priority_slot;
};
insert_leading(english_candidates);
insert_leading(emoji_candidates);
insert_leading(kaomoji_candidates);
for (auto *source : {&english_candidates, &emoji_candidates, &kaomoji_candidates})
{
candidates.insert(candidates.end(), std::make_move_iterator(source->begin()),
std::make_move_iterator(source->end()));
}
return candidates;
}
EnglishDictionary &CandidateQueries::english_dictionary()
{
if (!english_dictionary_)
{
english_dictionary_ =
std::make_unique<EnglishDictionary>(path_to_utf8(paths_.dictionary(assets::english_dictionary)), false,
path_to_utf8(paths_.resource(assets::translations)));
}
return *english_dictionary_;
}
} // namespace metasequoia