[CS6] Cut out methods to clarify what we are doing
Bug: 13238601 Change-Id: I99cc62e91b1e89130358fded572987023d919507
This commit is contained in:
parent
967936306e
commit
e5a8615de7
1 changed files with 45 additions and 39 deletions
|
@ -87,6 +87,40 @@ public final class Suggest {
|
|||
}
|
||||
}
|
||||
|
||||
private static ArrayList<SuggestedWordInfo> getTransformedSuggestedWordInfoList(
|
||||
final WordComposer wordComposer, final SuggestionResults results,
|
||||
final int trailingSingleQuotesCount) {
|
||||
final boolean shouldMakeSuggestionsAllUpperCase = wordComposer.isAllUpperCase()
|
||||
&& !wordComposer.isResumed();
|
||||
final boolean isOnlyFirstCharCapitalized =
|
||||
wordComposer.isOrWillBeOnlyFirstCharCapitalized();
|
||||
|
||||
final ArrayList<SuggestedWordInfo> suggestionsContainer = new ArrayList<>(results);
|
||||
final int suggestionsCount = suggestionsContainer.size();
|
||||
if (isOnlyFirstCharCapitalized || shouldMakeSuggestionsAllUpperCase
|
||||
|| 0 != trailingSingleQuotesCount) {
|
||||
for (int i = 0; i < suggestionsCount; ++i) {
|
||||
final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
|
||||
final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
|
||||
wordInfo, results.mLocale, shouldMakeSuggestionsAllUpperCase,
|
||||
isOnlyFirstCharCapitalized, trailingSingleQuotesCount);
|
||||
suggestionsContainer.set(i, transformedWordInfo);
|
||||
}
|
||||
}
|
||||
return suggestionsContainer;
|
||||
}
|
||||
|
||||
private static String getWhitelistedWordOrNull(final ArrayList<SuggestedWordInfo> suggestions) {
|
||||
if (suggestions.isEmpty()) {
|
||||
return null;
|
||||
}
|
||||
final SuggestedWordInfo firstSuggestedWordInfo = suggestions.get(0);
|
||||
if (!firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) {
|
||||
return null;
|
||||
}
|
||||
return firstSuggestedWordInfo.mWord;
|
||||
}
|
||||
|
||||
// Retrieves suggestions for the typing input
|
||||
// and calls the callback function with the suggestions.
|
||||
private void getSuggestedWordsForTypingInput(final WordComposer wordComposer,
|
||||
|
@ -103,42 +137,14 @@ public final class Suggest {
|
|||
final SuggestionResults suggestionResults = mDictionaryFacilitator.getSuggestionResults(
|
||||
wordComposer, prevWordsInfo, proximityInfo, blockOffensiveWords,
|
||||
additionalFeaturesOptions, SESSION_TYPING);
|
||||
|
||||
final boolean isPrediction = !wordComposer.isComposingWord();
|
||||
final boolean shouldMakeSuggestionsAllUpperCase = wordComposer.isAllUpperCase()
|
||||
&& !wordComposer.isResumed();
|
||||
final boolean isOnlyFirstCharCapitalized =
|
||||
wordComposer.isOrWillBeOnlyFirstCharCapitalized();
|
||||
|
||||
final ArrayList<SuggestedWordInfo> suggestionsContainer =
|
||||
new ArrayList<>(suggestionResults);
|
||||
final int suggestionsCount = suggestionsContainer.size();
|
||||
if (isOnlyFirstCharCapitalized || shouldMakeSuggestionsAllUpperCase
|
||||
|| 0 != trailingSingleQuotesCount) {
|
||||
for (int i = 0; i < suggestionsCount; ++i) {
|
||||
final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
|
||||
final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
|
||||
wordInfo, suggestionResults.mLocale, shouldMakeSuggestionsAllUpperCase,
|
||||
isOnlyFirstCharCapitalized, trailingSingleQuotesCount);
|
||||
suggestionsContainer.set(i, transformedWordInfo);
|
||||
}
|
||||
}
|
||||
getTransformedSuggestedWordInfoList(wordComposer, suggestionResults,
|
||||
trailingSingleQuotesCount);
|
||||
final boolean didRemoveTypedWord =
|
||||
SuggestedWordInfo.removeDups(typedWord, suggestionsContainer);
|
||||
SuggestedWordInfo.removeDups(wordComposer.getTypedWord(), suggestionsContainer);
|
||||
|
||||
final SuggestedWordInfo firstSuggestedWordInfo;
|
||||
final String whitelistedWord;
|
||||
if (suggestionsContainer.isEmpty()) {
|
||||
firstSuggestedWordInfo = null;
|
||||
whitelistedWord = null;
|
||||
} else {
|
||||
firstSuggestedWordInfo = suggestionsContainer.get(0);
|
||||
if (!firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) {
|
||||
whitelistedWord = null;
|
||||
} else {
|
||||
whitelistedWord = firstSuggestedWordInfo.mWord;
|
||||
}
|
||||
}
|
||||
final String whitelistedWord = getWhitelistedWordOrNull(suggestionsContainer);
|
||||
final boolean resultsArePredictions = !wordComposer.isComposingWord();
|
||||
|
||||
// We allow auto-correction if we have a whitelisted word, or if the word had more than
|
||||
// one char and was not suggested.
|
||||
|
@ -151,11 +157,11 @@ public final class Suggest {
|
|||
// same time, it feels wrong that the SuggestedWord object includes information about
|
||||
// the current settings. It may also be useful to know, when the setting is off, whether
|
||||
// the word *would* have been auto-corrected.
|
||||
if (!isCorrectionEnabled || !allowsToBeAutoCorrected || isPrediction
|
||||
|| null == firstSuggestedWordInfo || wordComposer.hasDigits()
|
||||
if (!isCorrectionEnabled || !allowsToBeAutoCorrected || resultsArePredictions
|
||||
|| suggestionResults.isEmpty() || wordComposer.hasDigits()
|
||||
|| wordComposer.isMostlyCaps() || wordComposer.isResumed()
|
||||
|| !mDictionaryFacilitator.hasInitializedMainDictionary()
|
||||
|| firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_SHORTCUT)) {
|
||||
|| suggestionResults.first().isKindOf(SuggestedWordInfo.KIND_SHORTCUT)) {
|
||||
// If we don't have a main dictionary, we never want to auto-correct. The reason for
|
||||
// this is, the user may have a contact whose name happens to match a valid word in
|
||||
// their language, and it will unexpectedly auto-correct. For example, if the user
|
||||
|
@ -167,7 +173,7 @@ public final class Suggest {
|
|||
hasAutoCorrection = false;
|
||||
} else {
|
||||
hasAutoCorrection = AutoCorrectionUtils.suggestionExceedsAutoCorrectionThreshold(
|
||||
firstSuggestedWordInfo, consideredWord, mAutoCorrectionThreshold);
|
||||
suggestionResults.first(), consideredWord, mAutoCorrectionThreshold);
|
||||
}
|
||||
|
||||
if (!TextUtils.isEmpty(typedWord)) {
|
||||
|
@ -190,9 +196,9 @@ public final class Suggest {
|
|||
// TODO: this first argument is lying. If this is a whitelisted word which is an
|
||||
// actual word, it says typedWordValid = false, which looks wrong. We should either
|
||||
// rename the attribute or change the value.
|
||||
!isPrediction && !allowsToBeAutoCorrected /* typedWordValid */,
|
||||
!resultsArePredictions && !allowsToBeAutoCorrected /* typedWordValid */,
|
||||
hasAutoCorrection /* willAutoCorrect */,
|
||||
false /* isObsoleteSuggestions */, isPrediction, sequenceNumber));
|
||||
false /* isObsoleteSuggestions */, resultsArePredictions, sequenceNumber));
|
||||
}
|
||||
|
||||
// Retrieves suggestions for the batch input
|
||||
|
|
Loading…
Reference in a new issue