fanlusky
01c5bca325
词格（CandidateSource::Generated）和 Google 解码器（CandidateSource::Fallback） 猜出来的整句在词库里没有对应的行，而调频走的是 update_weight_by_pinyin_and_word——它只改 SQLite 里已经存在的行，找不到行就什么 也不做。于是用户选中这种整句多少次，下次输入同样的拼音，它仍然是猜出来的，仍然 排在词库里那条同音短语后面，看起来就是"永远提不上来"。 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。 落库不受 frequency_adjustment_ 约束（那是候选词频策略，不是造词），也不跳过 index == 0——首位整句同样没有落库，下次仍要靠猜。长度上限对标 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。
825 lines
31 KiB
C++
825 lines
31 KiB
C++
#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 <algorithm>
|
||
#include <cctype>
|
||
|
||
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<char>(std::tolower(static_cast<unsigned char>(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<WordItem> &InputSession::get_candidates() const
|
||
{
|
||
return candidates();
|
||
}
|
||
|
||
bool InputSession::expand_initial_candidates()
|
||
{
|
||
return engine_.expand_initial_candidates();
|
||
}
|
||
|
||
std::optional<WordItem> 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<QuanpinEngine>(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<std::string> 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();
|
||
// 全拼敲出来的 nve / lve 同样要换写法；没有音节边界的裸串匹配不上，原样透传。
|
||
state.query_text = quanpin::to_google_spelling(request().normalized_input);
|
||
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
|