/**
* Produces a response to an "internal" input sentence -- i.e., an input that has been
* produced by a <code>srai</code>.
*
* <p>The main differences between this and {@link
* #getResponse(String,String,TemplateParser,boolean,Responder)} are that this method takes an
* already-existing <code>TemplateParser</code>, <i>doesn't</i> take a <code>Responder</code>, and
* assumes that the inputs have already been normalized.
*
* @see {@link #getResponse(String,String,TemplateParser,boolean,Responder)}
* @param input the input sentence
* @param userid the userid requesting the response
* @param botid the botid from which to get the response
* @param parser the parser object to update when generating the response
*/
public static String getInternalResponse(
String input, String userid, String botid, TemplateParser parser) {
// Get the requested bot.
Bot bot = Bots.getBot(botid);
// Ready the that and topic predicates for constructing the match path.
ArrayList thatSentences = bot.sentenceSplit(PredicateMaster.get(THAT, 1, userid, botid));
String that =
InputNormalizer.patternFitIgnoreCase((String) thatSentences.get(thatSentences.size() - 1));
if (that.equals(EMPTY_STRING) || that.equals(PREDICATE_EMPTY_DEFAULT)) {
that = ASTERISK;
}
String topic = InputNormalizer.patternFitIgnoreCase(PredicateMaster.get(TOPIC, userid, botid));
if (topic.equals(EMPTY_STRING) || topic.equals(PREDICATE_EMPTY_DEFAULT)) {
topic = ASTERISK;
}
return getMatchResult(input, that, topic, userid, botid, parser);
}
/**
* Gets the match result from the Graphmaster.
*
* @param input
* @param that
* @param topic
* @param userid
* @param botid
* @param parser
* @param timeout whether to control the match attempt with a timeout thread
*/
private static String getMatchResult(
String input, String that, String topic, String userid, String botid, TemplateParser parser) {
// Always show the input path (in any case, if match trace is on).
if (SHOW_MATCH_TRACE) {
Trace.userinfo(
PredicateMaster.get(Globals.getClientNamePredicate(), userid, botid)
+ '>'
+ SPACE
+ input
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ that
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ topic
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ botid);
}
// Create a case-insensitive pattern-fitted version of the input.
String inputIgnoreCase = InputNormalizer.patternFitIgnoreCase(input);
Match match = null;
try {
match = Graphmaster.match(InputNormalizer.patternFitIgnoreCase(input), that, topic, botid);
} catch (NoMatchException e) {
Log.userinfo(e.getMessage(), Log.CHAT);
return EMPTY_STRING;
}
if (match == null) {
Log.userinfo("No match found for input \"" + input + "\".", Log.CHAT);
return EMPTY_STRING;
}
if (SHOW_MATCH_TRACE) {
Trace.userinfo(LABEL_MATCH + match.getPath());
Trace.userinfo(LABEL_FILENAME + QUOTE_MARK + match.getFileName() + QUOTE_MARK);
}
ArrayList stars = match.getInputStars();
if (stars.size() > 0) {
parser.setInputStars(stars);
}
stars = match.getThatStars();
if (stars.size() > 0) {
parser.setThatStars(stars);
}
stars = match.getTopicStars();
if (stars.size() > 0) {
parser.setTopicStars(stars);
}
String template = match.getTemplate();
String reply = null;
try {
reply = parser.processResponse(template);
} catch (ProcessorException e) {
// Log the error message.
Log.userinfo(e.getMessage(), Log.ERROR);
// Set response to empty string.
return EMPTY_STRING;
}
// Record activation, if targeting is in use.
// Needs review in light of multi-bot update
if (USE_TARGETING) {
Nodemapper matchNodemapper = match.getNodemapper();
if (matchNodemapper == null) {
Trace.devinfo("Match nodemapper is null!");
} else {
Set activations = (Set) matchNodemapper.get(Graphmaster.ACTIVATIONS);
if (activations == null) {
activations = new HashSet();
}
String path =
match.getPath()
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ inputIgnoreCase
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ that
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ topic
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ botid
+ SPACE
+ Graphmaster.PATH_SEPARATOR
+ SPACE
+ reply;
if (!activations.contains(path)) {
activations.add(path);
match.getNodemapper().put(Graphmaster.ACTIVATIONS, activations);
Graphmaster.activatedNode(match.getNodemapper());
}
}
}
return reply;
}
/**
* Gets the list of replies to some input sentences. Assumes that the sentences have already had
* all necessary pre-processing and substitutions performed.
*
* @param sentenceList the input sentences
* @param userid the userid requesting the replies
* @param botid
* @return the list of replies to the input sentences
*/
private static ArrayList getReplies(ArrayList sentenceList, String userid, String botid) {
// All replies will be assembled in this ArrayList.
ArrayList replies = new ArrayList(sentenceList.size());
// Get the requested bot.
Bot bot = Bots.getBot(botid);
// Ready the that and topic predicates for constructing the match path.
ArrayList thatSentences = bot.sentenceSplit(PredicateMaster.get(THAT, 1, userid, botid));
String that =
InputNormalizer.patternFitIgnoreCase((String) thatSentences.get(thatSentences.size() - 1));
if (that.equals(EMPTY_STRING) || that.equals(PREDICATE_EMPTY_DEFAULT)) {
that = ASTERISK;
}
String topic = InputNormalizer.patternFitIgnoreCase(PredicateMaster.get(TOPIC, userid, botid));
if (topic.equals(EMPTY_STRING) || topic.equals(PREDICATE_EMPTY_DEFAULT)) {
topic = ASTERISK;
}
Iterator sentences = sentenceList.iterator();
// We might use this to track matching statistics.
long time = 0;
// If match trace info is on, mark the time just before matching starts.
if (SHOW_MATCH_TRACE) {
time = System.currentTimeMillis();
}
// Get a reply for each sentence.
while (sentences.hasNext()) {
replies.add(getReply((String) sentences.next(), that, topic, userid, botid));
}
// Increment the (static) response count.
responseCount++;
;
// If match trace info is on, produce statistics about the response time.
if (SHOW_MATCH_TRACE) {
// Mark the time that processing is finished.
time = System.currentTimeMillis() - time;
// Calculate the average response time.
totalTime += time;
avgResponseTime = (float) totalTime / (float) responseCount;
Trace.userinfo(
RESPONSE_SPACE
+ responseCount
+ SPACE_IN_SPACE
+ time
+ MS_AVERAGE
+ avgResponseTime
+ MS);
}
// Invoke targeting if appropriate.
if (responseCount % TARGET_SKIP == 0) {
if (USE_TARGETING) {
Graphmaster.checkpoint();
}
}
// If no replies, return an empty string.
if (replies.size() == 0) {
replies.add(EMPTY_STRING);
}
return replies;
}