#include "input_session.h" #include "../common/helpcode_utils.h" #include "../quanpin/quanpin_utils.h" #include "../shuangpin/shuangpin_query.h" #include "../shuangpin/shuangpin_utils.h" #include "../japanese/romaji_converter.h" #include #include namespace metasequoia { namespace { std::string remove_delimiters(const std::string &segmented) { std::string normalized; normalized.reserve(segmented.size()); for (const char ch : segmented) { if (ch != '\'') { normalized.push_back(ch); } } return normalized; } void remove_consumed_leading_separators(std::string &raw_input, std::string &raw_input_with_cases) { size_t count = 0; while (count < raw_input.size() && raw_input[count] == '\'') { ++count; } raw_input.erase(0, count); count = 0; while (count < raw_input_with_cases.size() && raw_input_with_cases[count] == '\'') { ++count; } raw_input_with_cases.erase(0, count); } // 整句落库的长度上限。词库里的短语本身就不超过这个音节数(对标 // quanpin::WordLatticeOptions::max_phrase_syllables),再长的整句只是这一次输入 // 的产物,落库除了撑大用户词库没有别的作用。 constexpr size_t kMaxLearnedSentenceSyllables = 7; std::string normalize_canonical_pinyin_for_word(const std::string &pinyin, const std::string &word) { if (pinyin.empty()) { return {}; } const auto segments = quanpin::split_segments(pinyin); if (segments.empty() || segments.size() != HelpcodeUtils::count_han_chars(word)) { return {}; } for (const auto &segment : segments) { if (segment.empty() || !quanpin::is_complete_pinyin_input(segment)) { return {}; } } return quanpin::join_segments(segments); } std::string append_canonical_pinyin(const std::string &prefix, const std::string &suffix) { if (prefix.empty()) { return suffix; } if (suffix.empty()) { return {}; } return prefix + "'" + suffix; } struct ShuangpinCompositionBase { std::string raw_input; std::string raw_input_with_cases; std::string effective_raw_input; std::string effective_raw_input_with_cases; size_t helpcode_length = 0; }; ShuangpinCompositionBase ResolveShuangpinCompositionBase(const QueryRequest &request, const ShuangpinProfile &profile) { ShuangpinCompositionBase base{ request.raw_input, request.raw_input_with_cases.empty() ? request.raw_input : request.raw_input_with_cases}; base.effective_raw_input = shuangpin::remove_manual_delimiters(base.raw_input); base.effective_raw_input_with_cases = shuangpin::remove_manual_delimiters(base.raw_input_with_cases); if (!request.enable_shuangpin_helpcode || base.effective_raw_input.empty()) { return base; } const auto has_complete_unseparated_base = [&](size_t helpcode_length) { if (base.effective_raw_input.size() <= helpcode_length) { return false; } const size_t pure_length = base.effective_raw_input.size() - helpcode_length; const size_t raw_prefix_length = shuangpin::raw_length_for_effective_prefix(base.raw_input, pure_length); // An apostrophe immediately before the suffix makes that suffix a // user-defined pinyin segment, not an auxiliary code. if (raw_prefix_length < base.raw_input.size() && base.raw_input[raw_prefix_length] == '\'') { return false; } return shuangpin::is_complete_input(base.raw_input.substr(0, raw_prefix_length), profile); }; if (shuangpin::detect_active_double_helpcode_length(base.raw_input, base.raw_input_with_cases, profile) == 2) { base.helpcode_length = 2; return base; } if (base.effective_raw_input.size() % 2 == 1 && base.effective_raw_input.size() > 1) { if (has_complete_unseparated_base(1)) { base.helpcode_length = 1; } } return base; } bool HasActiveQuanpinHelpcode(const QueryRequest &request) { return request.enable_quanpin_helpcode && quanpin::detect_active_helpcode_length(request.raw_input, request.raw_input_with_cases) > 0; } std::string ResolveShuangpinCloudCacheKey(const QueryRequest &request, const ShuangpinProfile &profile) { const auto base = ResolveShuangpinCompositionBase(request, profile); if (base.helpcode_length > 0 && base.effective_raw_input.size() >= base.helpcode_length) { const size_t base_length = base.effective_raw_input.size() - base.helpcode_length; return base.raw_input.substr(0, shuangpin::raw_length_for_effective_prefix(base.raw_input, base_length)); } return base.raw_input; } std::string ResolveQuanpinCloudCacheKey(const QueryRequest &request) { return quanpin::strip_active_helpcodes(request.raw_input, request.raw_input_with_cases); } // Same four-bit mapping as autocorrect_types_from_request (engine.cpp): the // request only carries the two legacy bools, and either one on also enables // deletion and insertion so the preedit rebuild sees the same correction space // as the query. unsigned QuanpinAutocorrectTypes(const QueryRequest &request) { const unsigned legacy = (request.enable_quanpin_autocorrect_transposition ? quanpin::kAutocorrectTransposition : 0u) | (request.enable_quanpin_autocorrect_neighbor ? quanpin::kAutocorrectNeighbor : 0u); return legacy == 0 ? 0u : legacy | quanpin::kAutocorrectDeletion | quanpin::kAutocorrectInsertion; } std::string QuanpinLettersWithoutDelimiters(const std::string &text) { std::string letters; letters.reserve(text.size()); for (const char ch : text) { if (ch != '\'') { letters.push_back(ch); } } return letters; } // Folds letters for autocorrect display comparisons: lowercases and strips // manual delimiters, and maps the u-umlaut style 'v' spelling onto 'u'. This // equivalence is what classifies length-preserving spelling aliases (jv->ju, // nue->nve) as "explainable by the cut" so the preedit can be rebuilt with // separators; removing it would drop separators for alias-typed input. It only // ever compares two internally derived strings, never gates a user-facing // mark — the dictionary-side corrected_from contract lives in // quanpin_dictionary.cpp and treats v/u as distinct letters on purpose. std::string FoldQuanpinAutocorrectLetters(const std::string &text) { std::string folded; folded.reserve(text.size()); for (const char ch : text) { if (ch == '\'') { continue; } const char lower = static_cast(std::tolower(static_cast(ch))); folded.push_back(lower == 'v' ? 'u' : lower); } return folded; } // Folded letters of a cut's syllable sequence, for comparing the BFS reading // against the scheme segmentation reading. std::string CutSyllableLetters(const quanpin::AutocorrectCut &cut) { std::string letters; for (const auto &segment : cut.segments) { letters += segment.syllable; } return FoldQuanpinAutocorrectLetters(letters); } // Rebuilds the preedit from the cased input letters with separators at the raw // spans the correction BFS reports. Letters (case included) are preserved // verbatim; manual delimiters are replaced by the actual cut positions. std::string RebuildQuanpinDisplayFromCut(const std::string &cased_input, const quanpin::AutocorrectCut &cut) { std::string display; display.reserve(cased_input.size() + cut.segments.size()); size_t letter_index = 0; size_t boundary_index = 0; const size_t boundary_count = cut.segments.empty() ? 0 : cut.segments.size() - 1; for (const char ch : cased_input) { if (ch == '\'') { continue; } display.push_back(ch); ++letter_index; if (boundary_index < boundary_count && letter_index == cut.segments[boundary_index].start + cut.segments[boundary_index].raw_text.size()) { display.push_back('\''); ++boundary_index; } } return display; } // The preedit must always show the letters the user actually typed (PRD R5). // Two layers can rewrite them into canonical pinyin: the scheme alias table // (sahng -> shang, baked into raw_segmentation) and the dictionary correction // BFS (shabg -> shang, which only re-separates). Both are rebuilt here from // the raw letters with separators at the actual cut positions; when the BFS // cannot explain a rewrite (length-changing aliases such as mihng -> ming) the // raw letters are shown without separators. The rebuild is deliberately // switch-independent: the alias layer rewrites letters regardless of the // autocorrect switches, and AC1 only constrains the candidate list. std::string BuildQuanpinAutocorrectDisplay(const QueryRequest &request) { const std::string &cased = request.raw_input_with_cases.empty() ? request.raw_input : request.raw_input_with_cases; const std::string base = request.raw_segmentation.empty() ? cased : request.raw_segmentation; if (request.raw_input.empty() || cased.empty()) { return base; } const unsigned types = QuanpinAutocorrectTypes(request); const std::string folded_input = FoldQuanpinAutocorrectLetters(cased); const bool letters_rewritten = FoldQuanpinAutocorrectLetters(QuanpinLettersWithoutDelimiters(base)) != folded_input; // Fast path: the scheme kept the typed letters and either no correction // type is enabled or the input is already a complete pinyin spelling, so // no correction interpretation exists to draw separators from. if (!letters_rewritten && (types == 0 || quanpin::is_complete_pinyin_input(request.raw_input))) { return base; } // Jianpin guard, mirroring resolve_series_query in the dictionary layer: a // legal syllable plus at most one trailing letter is user intent, never a // typo. The deletion table explains shapes like "zheg" -> zheng, so without // this guard the preedit would lose the scheme separators once the deletion // bit rides along with the legacy switches. if (quanpin::looks_like_syllable_with_jianpin_tail(request.raw_input)) { return base; } const auto cut = quanpin::autocorrect_cut_detail(folded_input, types); // When the scheme rewrote the letters, the query resolved through the alias // layer, so the preedit may only draw separators from the BFS when both // layers explain the letters identically ("sahnghao" -> shang'hao). // Otherwise the deletion bit would re-separate "sahng" as sa'hng while the // candidates actually come from the alias reading shang -- the old code // never noticed because the cut happened to be empty without it. if (!cut.empty() && (!letters_rewritten || CutSyllableLetters(cut) == FoldQuanpinAutocorrectLetters( QuanpinLettersWithoutDelimiters(base)))) { return RebuildQuanpinDisplayFromCut(cased, cut); } // The BFS cannot explain the input (e.g. a length-changing alias such as // mihng -> ming): fall back to the plain raw letters when the letters were // rewritten, otherwise keep the scheme segmentation untouched. return letters_rewritten ? QuanpinLettersWithoutDelimiters(cased) : base; } } // namespace void InputSession::handle_engine_key(ImeKeyCode vk, ImeModifierMask modifiers_down, ImeCharacter wch) { engine_.handle_key(vk, modifiers_down, wch); online_requests_.invalidate(); update_mixed_candidates(); } void InputSession::recompute_candidates() { if (has_pending_pinyin_sequence_ || has_pending_pinyin_sequence_with_cases_) { apply_pending_sequence(); return; } engine_.handle_key(0, 0, 0); update_mixed_candidates(); } SchemeType InputSession::current_scheme_type() const { return engine_.current_scheme_type(); } void InputSession::reset_state() { clear_pending_sequence(); reset_composition(); } void InputSession::reset_cache() { engine_.reset_cache(); if (canonical_phrase_engine_) canonical_phrase_engine_->reset_cache(); } const std::vector &InputSession::get_candidates() const { return candidates(); } bool InputSession::expand_initial_candidates() { return engine_.expand_initial_candidates(); } std::optional InputSession::find_candidate(const std::string &key, const std::string &value) { return engine_.find_candidate(key, value); } const QueryRequest &InputSession::request() const { return engine_.get_request(); } const std::string &InputSession::get_pinyin_sequence() const { return request().raw_input; } const std::string &InputSession::get_pinyin_sequence_with_cases() const { return request().raw_input_with_cases.empty() ? request().raw_input : request().raw_input_with_cases; } const std::string &InputSession::get_pure_pinyin_sequence() const { return request().normalized_input; } const std::string &InputSession::get_pinyin_segmentation() const { return request().normalized_segmentation.empty() ? request().segmentation : request().normalized_segmentation; } std::string InputSession::get_pinyin_segmentation_with_cases() const { if (is_wubi()) { return request().raw_input; } if (is_japanese()) { return request().raw_input_with_cases.empty() ? request().raw_input : request().raw_input_with_cases; } if (is_shuangpin() && shuangpin_preedit_uses_raw_) { std::string preedit = request().raw_segmentation.empty() ? request().raw_input : request().raw_segmentation; if (!request().raw_input_with_cases.empty() && request().raw_input_with_cases.back() == '\'' && (preedit.empty() || preedit.back() != '\'')) { preedit.push_back('\''); } return preedit; } if (current_scheme_type() == SchemeType::Quanpin) { return BuildQuanpinAutocorrectDisplay(request()); } std::string preedit = request().normalized_segmentation.empty() ? request().segmentation : request().normalized_segmentation; if (!request().raw_input_with_cases.empty() && request().raw_input_with_cases.back() == '\'' && (preedit.empty() || preedit.back() != '\'')) { preedit.push_back('\''); } return preedit; } std::string InputSession::get_quanpin() const { return request().normalized_input; } bool InputSession::is_all_complete_pure_pinyin() const { if (is_wubi()) { return request().valid; } if (is_japanese()) { return japanese::ConvertRomaji(request().raw_input).complete; } if (is_shuangpin()) { const auto base = ResolveShuangpinCompositionBase(request(), shuangpin_profile_); if (base.helpcode_length > 0 && base.effective_raw_input.size() >= base.helpcode_length) { const size_t base_length = base.effective_raw_input.size() - base.helpcode_length; return shuangpin::is_complete_input( base.raw_input.substr(0, shuangpin::raw_length_for_effective_prefix(base.raw_input, base_length)), shuangpin_profile_); } return shuangpin::is_complete_input(base.raw_input, shuangpin_profile_); } const auto &segmentation = request().normalized_segmentation.empty() ? request().segmentation : request().normalized_segmentation; return !segmentation.empty() && quanpin::is_complete_pinyin_input(segmentation); } bool InputSession::has_active_helpcode() const { if (is_wubi() || is_japanese()) { return false; } if (is_shuangpin()) { return ResolveShuangpinCompositionBase(request(), shuangpin_profile_).helpcode_length > 0; } return HasActiveQuanpinHelpcode(request()); } void InputSession::set_pinyin_sequence(const std::string &pinyin_sequence) { pending_pinyin_sequence_ = pinyin_sequence; has_pending_pinyin_sequence_ = true; } void InputSession::set_pinyin_sequence_with_cases(const std::string &pinyin_sequence) { pending_pinyin_sequence_with_cases_ = pinyin_sequence; has_pending_pinyin_sequence_with_cases_ = true; } int InputSession::store_user_phrase(std::string pinyin, std::string word) { return engine_.create_word(std::move(pinyin), std::move(word)); } int InputSession::store_user_phrase_from_canonical_pinyin(std::string pinyin, std::string word) { // Both quanpin and shuangpin ultimately share the canonical quanpin // dictionary. Do not feed a complete quanpin key back through the active // shuangpin profile a second time. if (!canonical_phrase_engine_) canonical_phrase_engine_ = std::make_unique(paths_); return canonical_phrase_engine_->create_word_from_canonical_pinyin(std::move(pinyin), std::move(word)); } // 整句候选(词格 CandidateSource::Generated、Google 解码器 CandidateSource::Fallback) // 是猜出来的,词库里没有它那一行,所以调频对它无效:update_weight_by_pinyin_and_word // 改的是 SQLite 里已存在的行,找不到行就什么也不做,用户于是发现自己选多少次都提不上来。 // 选中即落库才是对的处理:存成用户词组之后,下次同样的输入它以 UserDatabase 候选出现, // 按 quanpin::generated_sentence_insert_position 的约定排在两条整句之前,之后再选还能 // 走正常调频。 std::optional InputSession::learn_sentence_candidate(const WordItem &selected) { // 本地模式(U/K/E/M/J/Y/R、日期时间)和英文模式也用 Generated 装自己的候选, // 那些不是拼音整句,不能往拼音用户词库里塞。 if (local_input_mode_ != LocalInputMode::None || dedicated_english_mode_ || is_japanese() || !candidates_follow_pinyin()) { return std::nullopt; } // 读音必须完整且音节数与字数对得上,否则落库的是个读音残缺的词条。双拼的整句 // 候选同样带 canonical quanpin,这里统一按全拼键处理。 const std::string canonical = normalize_canonical_pinyin_for_word(selected.canonical_pinyin, selected.word); if (canonical.empty() || quanpin::split_segments(canonical).size() > kMaxLearnedSentenceSyllables) { return std::nullopt; } if (store_user_phrase_from_canonical_pinyin(canonical, selected.word) != 0) { return "Unable to persist the selected sentence."; } return std::nullopt; } int InputSession::pin_candidate(std::string pinyin, std::string word) { return engine_.update_weight_by_pinyin_and_word(std::move(pinyin), std::move(word)); } int InputSession::remove_candidate(std::string pinyin, std::string word) { if (!is_wubi() && remove_delimiters(request().raw_input).size() == 1) { return -1; } return engine_.delete_by_pinyin_and_word(std::move(pinyin), std::move(word)); } int InputSession::cache_dynamic_candidate(const std::string &pinyin, const std::string &word, CandidateSource source) { const int cache_result = engine_.cache_dynamic_candidate(pinyin, word, source); (void)engine_.cache_dynamic_candidate_for_current_request(word, source); return cache_result; } InputSession::SelectionTransition InputSession::advance_composition_after_selection( const std::string &selected_pinyin, const std::string &selected_word, const std::string &selected_canonical_pinyin) { SelectionTransition transition; transition.selected_canonical_pinyin = selected_canonical_pinyin; if (is_japanese()) { transition.full_pure_pinyin = request().raw_input; transition.current_segmentation = request().segmentation; transition.current_segmentation_with_cases = request().raw_input_with_cases; return transition; } if (wubi_candidates_are_native()) { transition.full_pure_pinyin = request().normalized_input; transition.current_segmentation = request().normalized_input; transition.current_segmentation_with_cases = request().raw_input; return transition; } if (is_shuangpin()) { const auto base = ResolveShuangpinCompositionBase(request(), shuangpin_profile_); const size_t word_pinyin_length = HelpcodeUtils::count_han_chars(selected_word) * 2; const size_t total_input_length = base.effective_raw_input.size(); transition.full_pure_pinyin = base.helpcode_length > 0 && total_input_length >= base.helpcode_length ? base.effective_raw_input.substr(0, total_input_length - base.helpcode_length) : base.effective_raw_input; size_t consumed_length = remove_delimiters(selected_pinyin).size(); if (base.helpcode_length > 0) { const size_t rest_start = shuangpin::raw_length_for_effective_prefix(base.raw_input_with_cases, word_pinyin_length); transition.consumed_raw_input_with_cases = base.raw_input_with_cases.substr(0, rest_start); const size_t required_length = word_pinyin_length + base.helpcode_length; transition.continues_composition = required_length < total_input_length && word_pinyin_length < total_input_length; if (transition.continues_composition) { const size_t rest_end = shuangpin::raw_length_for_effective_prefix( base.raw_input_with_cases, total_input_length - base.helpcode_length); const std::string rest_pinyin_sequence = base.raw_input.substr(rest_start, rest_end - rest_start); std::string normalized_rest = rest_pinyin_sequence; std::string cased_rest = base.raw_input_with_cases.substr(rest_start, rest_end - rest_start); remove_consumed_leading_separators(normalized_rest, cased_rest); engine_.replace_shuangpin_raw_input(normalized_rest, cased_rest); online_requests_.invalidate(); update_mixed_candidates(); } } else { if (consumed_length == 0 || consumed_length > base.effective_raw_input.size()) { consumed_length = (std::min)(word_pinyin_length, base.effective_raw_input.size()); } const size_t consumed_raw_length = shuangpin::raw_length_for_effective_prefix(base.raw_input_with_cases, consumed_length); transition.consumed_raw_input_with_cases = base.raw_input_with_cases.substr(0, consumed_raw_length); transition.continues_composition = consumed_length < transition.full_pure_pinyin.size(); if (transition.continues_composition) { const std::string rest_pinyin_sequence = base.raw_input.substr(consumed_raw_length, base.raw_input.size() - consumed_raw_length); const std::string rest_pinyin_sequence_with_cases = base.raw_input_with_cases.substr( consumed_raw_length, base.raw_input_with_cases.size() - consumed_raw_length); std::string normalized_rest = rest_pinyin_sequence; std::string cased_rest = rest_pinyin_sequence_with_cases; remove_consumed_leading_separators(normalized_rest, cased_rest); engine_.replace_shuangpin_raw_input(normalized_rest, cased_rest); online_requests_.invalidate(); update_mixed_candidates(); } } transition.current_segmentation = get_pinyin_segmentation(); transition.current_segmentation_with_cases = get_pinyin_segmentation_with_cases(); return transition; } transition.full_pure_pinyin = request().normalized_input; const std::string current_segmentation = request().normalized_segmentation.empty() ? request().segmentation : request().normalized_segmentation; const std::string current_segmentation_with_cases = get_pinyin_segmentation_with_cases(); const std::string selected_pure_pinyin = remove_delimiters(selected_pinyin); const std::string raw_input_without_helpcodes = quanpin::strip_active_helpcodes(request().raw_input, request().raw_input_with_cases); const std::string raw_input_with_cases_without_helpcodes = quanpin::strip_active_helpcodes_with_cases(request().raw_input, request().raw_input_with_cases); size_t consumed_raw_length = shuangpin::raw_length_for_effective_prefix(raw_input_with_cases_without_helpcodes, selected_pure_pinyin.size()); transition.consumed_raw_input_with_cases = raw_input_with_cases_without_helpcodes.substr(0, consumed_raw_length); transition.continues_composition = !selected_pure_pinyin.empty() && selected_pure_pinyin.size() < transition.full_pure_pinyin.size() && consumed_raw_length < raw_input_without_helpcodes.size(); if (transition.continues_composition) { std::string rest_raw_input = raw_input_without_helpcodes.substr(consumed_raw_length); std::string rest_raw_input_with_cases = raw_input_with_cases_without_helpcodes.substr(consumed_raw_length); remove_consumed_leading_separators(rest_raw_input, rest_raw_input_with_cases); engine_.replace_active_raw_input(rest_raw_input, rest_raw_input_with_cases); online_requests_.invalidate(); update_mixed_candidates(); transition.current_segmentation = get_pinyin_segmentation(); transition.current_segmentation_with_cases = get_pinyin_segmentation_with_cases(); return transition; } transition.current_segmentation = current_segmentation; transition.current_segmentation_with_cases = current_segmentation_with_cases; return transition; } InputSession::CloudQueryState InputSession::get_cloud_query_state() const { CloudQueryState state; if (is_japanese()) { state.cache_key = request().raw_input; state.committed_pinyin = request().raw_input; state.should_query = !request().raw_input.empty(); state.query_text = state.should_query ? request().raw_input : std::string{}; return state; } if (is_wubi()) { state.cache_key = request().normalized_input; state.committed_pinyin = request().normalized_input; return state; } if (is_shuangpin()) { const auto base = ResolveShuangpinCompositionBase(request(), shuangpin_profile_); state.cache_key = ResolveShuangpinCloudCacheKey(request(), shuangpin_profile_); state.committed_pinyin = shuangpin::remove_manual_delimiters(state.cache_key); if (has_active_helpcode()) { return state; } const char last = base.effective_raw_input_with_cases.empty() ? '\0' : base.effective_raw_input_with_cases.back(); const bool ends_with_input_key = (last >= 'a' && last <= 'z') || last == ';'; state.should_query = ends_with_input_key && shuangpin::is_complete_input(base.effective_raw_input, shuangpin_profile_); if (state.should_query) { // 云输入拿的是带撇号的全拼,但 ü 要换成 inputtools 认的写法:它和本地的 // Google 解码器一样只认 nue/lue,nve'dai'dong'wu 会被它拆成 nv + e, // 「虐待动物」于是变成「女蛾黛动物」。committed_pinyin / cache_key 不受 // 影响,仍是双拼原串。 const std::string quanpin_segmentation = shuangpin::normalize_input_with_delimiters(state.cache_key, shuangpin_profile_); state.query_text = quanpin::to_google_spelling(quanpin_segmentation); } return state; } state.committed_pinyin = request().normalized_input; state.cache_key = ResolveQuanpinCloudCacheKey(request()); if (has_active_helpcode()) { return state; } state.should_query = !request().normalized_input.empty(); // 云端要按用户看到的分词来查:手动把 qi'e'huan 分成三段,就该带着音节边界发给云接口, // 否则云端自行贪心断句会当成 qie'huan(切换)。normalized_segmentation 保留了用户的手动 // 撇号(cut_pinyin_with_corrections 先按撇号切分),既定住了分词,也让 to_google_spelling // 能逐音节把 nve / lve 换成云端认的 nue / lue 写法。分词缺失时退回裸串。 const std::string &segmentation = request().normalized_segmentation.empty() ? request().normalized_input : request().normalized_segmentation; state.query_text = quanpin::to_google_spelling(segmentation); return state; } InputSession::CreatingWordProgress InputSession::update_creating_word_progress( const std::string ¤t_pinyin, const std::string ¤t_word, const std::string &selected_word, const SelectionTransition &selection_transition) const { CreatingWordProgress progress; if (wubi_candidates_are_native()) { progress.pinyin = current_pinyin.empty() ? selection_transition.full_pure_pinyin : current_pinyin; progress.word = current_word + selected_word; progress.preedit = progress.word; progress.completed = true; progress.can_store = false; return progress; } const std::string selected_canonical = normalize_canonical_pinyin_for_word(selection_transition.selected_canonical_pinyin, selected_word); const bool prior_parts_are_storeable = current_word.empty() || !current_pinyin.empty(); if (prior_parts_are_storeable && !selected_canonical.empty()) { progress.pinyin = append_canonical_pinyin(current_pinyin, selected_canonical); } progress.word = current_word + selected_word; progress.preedit = progress.word + selection_transition.current_segmentation_with_cases; progress.completed = !selection_transition.continues_composition; progress.can_store = progress.completed && !normalize_canonical_pinyin_for_word(progress.pinyin, progress.word).empty(); return progress; } bool InputSession::is_shuangpin() const { return current_scheme_type() == SchemeType::Shuangpin; } bool InputSession::is_wubi() const { return current_scheme_type() == SchemeType::Wubi; } bool InputSession::answered_by_pinyin_fallback() const { return engine_.answered_by_pinyin_fallback(); } bool InputSession::wubi_candidates_are_native() const { return is_wubi() && !engine_.answered_by_pinyin_fallback(); } bool InputSession::candidates_follow_pinyin() const { return current_scheme_type() == SchemeType::Quanpin || current_scheme_type() == SchemeType::Shuangpin || engine_.answered_by_pinyin_fallback(); } bool InputSession::is_japanese() const { return current_scheme_type() == SchemeType::JapaneseRomaji; } void InputSession::clear_pending_sequence() { pending_pinyin_sequence_.clear(); pending_pinyin_sequence_with_cases_.clear(); has_pending_pinyin_sequence_ = false; has_pending_pinyin_sequence_with_cases_ = false; } void InputSession::apply_pending_sequence() { caret_.reset(); const std::string raw_input = has_pending_pinyin_sequence_ ? pending_pinyin_sequence_ : request().raw_input; const std::string raw_input_with_cases = has_pending_pinyin_sequence_with_cases_ ? pending_pinyin_sequence_with_cases_ : raw_input; switch (current_scheme_type()) { case SchemeType::Shuangpin: engine_.replace_shuangpin_raw_input(raw_input, raw_input_with_cases); break; case SchemeType::Quanpin: engine_.replace_quanpin_raw_input(raw_input, raw_input_with_cases); break; case SchemeType::Wubi: engine_.replace_wubi_raw_input(raw_input, raw_input_with_cases); break; case SchemeType::JapaneseRomaji: engine_.replace_japanese_raw_input(raw_input, raw_input_with_cases); break; } clear_pending_sequence(); online_requests_.invalidate(); update_mixed_candidates(); } } // namespace metasequoia