/**
* add an array list of categories with a specific file name
*
* @param file name of AIML file
* @param moreCategories list of categories
*/
void addMoreCategories(String file, ArrayList<Category> moreCategories) {
if (file.contains(MagicStrings.deleted_aiml_file)) {
/* for (Category c : moreCategories) {
//System.out.println("Delete "+c.getPattern());
deletedGraph.addCategory(c);
}*/
} else if (file.contains(MagicStrings.learnf_aiml_file)) {
if (MagicBooleans.trace_mode) System.out.println("Reading Learnf file");
for (Category c : moreCategories) {
brain.addCategory(c);
learnfGraph.addCategory(c);
// patternGraph.addCategory(c);
}
// this.categories.addAll(moreCategories);
} else {
for (Category c : moreCategories) {
// System.out.println("Brain size="+brain.root.size());
// brain.printgraph();
brain.addCategory(c);
// patternGraph.addCategory(c);
// brain.printgraph();
}
// this.categories.addAll(moreCategories);
}
}
/**
* traverse graph and test all categories found in leaf nodes for shadows
*
* @param node
*/
void shadowChecker(Nodemapper node) {
if (NodemapperOperator.isLeaf(node)) {
String input = node.category.getPattern();
input = brain.replaceBotProperties(input);
input = input.replace("*", "XXX").replace("_", "XXX").replace("^", "").replace("#", "");
String that =
node.category
.getThat()
.replace("*", "XXX")
.replace("_", "XXX")
.replace("^", "")
.replace("#", "");
String topic =
node.category
.getTopic()
.replace("*", "XXX")
.replace("_", "XXX")
.replace("^", "")
.replace("#", "");
input = instantiateSets(input);
System.out.println("shadowChecker: input=" + input);
Nodemapper match = brain.match(input, that, topic);
if (match != node) {
System.out.println("" + Graphmaster.inputThatTopic(input, that, topic));
System.out.println("MATCHED: " + match.category.inputThatTopic());
System.out.println("SHOULD MATCH:" + node.category.inputThatTopic());
}
} else {
for (String key : NodemapperOperator.keySet(node)) {
shadowChecker(NodemapperOperator.get(node, key));
}
}
}
/**
* Constructor
*
* @param name name of bot
* @param path root path of Program AB
* @param action Program AB action
*/
public Bot(String name, String path, String action) {
int cnt = 0;
int elementCnt = 0;
this.name = name;
setAllPaths(path, name);
this.brain = new Graphmaster(this);
this.learnfGraph = new Graphmaster(this, "learnf");
this.learnGraph = new Graphmaster(this, "learn");
// this.unfinishedGraph = new Graphmaster(this);
// this.categories = new ArrayList<Category>();
preProcessor = new PreProcessor(this);
addProperties();
cnt = addAIMLSets();
if (MagicBooleans.trace_mode) System.out.println("Loaded " + cnt + " set elements.");
cnt = addAIMLMaps();
if (MagicBooleans.trace_mode) System.out.println("Loaded " + cnt + " map elements");
this.pronounSet = getPronouns();
AIMLSet number = new AIMLSet(MagicStrings.natural_number_set_name, this);
setMap.put(MagicStrings.natural_number_set_name, number);
AIMLMap successor = new AIMLMap(MagicStrings.map_successor, this);
mapMap.put(MagicStrings.map_successor, successor);
AIMLMap predecessor = new AIMLMap(MagicStrings.map_predecessor, this);
mapMap.put(MagicStrings.map_predecessor, predecessor);
AIMLMap singular = new AIMLMap(MagicStrings.map_singular, this);
mapMap.put(MagicStrings.map_singular, singular);
AIMLMap plural = new AIMLMap(MagicStrings.map_plural, this);
mapMap.put(MagicStrings.map_plural, plural);
// System.out.println("setMap = "+setMap);
Date aimlDate = new Date(new File(aiml_path).lastModified());
Date aimlIFDate = new Date(new File(aimlif_path).lastModified());
if (MagicBooleans.trace_mode)
System.out.println("AIML modified " + aimlDate + " AIMLIF modified " + aimlIFDate);
// readUnfinishedIFCategories();
MagicStrings.pannous_api_key = Utilities.getPannousAPIKey(this);
MagicStrings.pannous_login = Utilities.getPannousLogin(this);
if (action.equals("aiml2csv")) addCategoriesFromAIML();
else if (action.equals("csv2aiml")) addCategoriesFromAIMLIF();
else if (action.equals("chat-app")) {
if (MagicBooleans.trace_mode) System.out.println("Loading only AIMLIF files");
cnt = addCategoriesFromAIMLIF();
} else if (aimlDate.after(aimlIFDate)) {
if (MagicBooleans.trace_mode) System.out.println("AIML modified after AIMLIF");
cnt = addCategoriesFromAIML();
writeAIMLIFFiles();
} else {
addCategoriesFromAIMLIF();
if (brain.getCategories().size() == 0) {
System.out.println("No AIMLIF Files found. Looking for AIML");
cnt = addCategoriesFromAIML();
}
}
Category b =
new Category(
0, "PROGRAM VERSION", "*", "*", MagicStrings.program_name_version, "update.aiml");
brain.addCategory(b);
brain.nodeStats();
learnfGraph.nodeStats();
}
/**
* write certain specified categories as AIMLIF files
*
* @param graph the Graphmaster containing the categories to write
* @param file the destination AIMLIF file
*/
public void writeCertainIFCategories(Graphmaster graph, String file) {
if (MagicBooleans.trace_mode)
System.out.println(
"writeCertainIFCaegories " + file + " size= " + graph.getCategories().size());
writeIFCategories(graph.getCategories(), file + MagicStrings.aimlif_file_suffix);
File dir = new File(aimlif_path);
dir.setLastModified(new Date().getTime());
}
public void deleteLearnCategories() {
ArrayList<Category> learnCategories = learnGraph.getCategories();
for (Category c : learnCategories) {
Nodemapper n = brain.findNode(c);
System.out.println("Found node " + n + " for " + c.inputThatTopic());
if (n != null) n.category = null;
}
learnGraph = new Graphmaster(this);
}
/** Write all AIML files. Adds categories for BUILD and DEVELOPMENT ENVIRONMENT */
public void writeAIMLFiles() {
if (MagicBooleans.trace_mode) System.out.println("writeAIMLFiles");
HashMap<String, BufferedWriter> fileMap = new HashMap<String, BufferedWriter>();
Category b = new Category(0, "BRAIN BUILD", "*", "*", new Date().toString(), "update.aiml");
brain.addCategory(b);
// b = new Category(0, "PROGRAM VERSION", "*", "*", MagicStrings.program_name_version,
// "update.aiml");
// brain.addCategory(b);
ArrayList<Category> brainCategories = brain.getCategories();
Collections.sort(brainCategories, Category.CATEGORY_NUMBER_COMPARATOR);
for (Category c : brainCategories) {
if (!c.getFilename().equals(MagicStrings.null_aiml_file))
try {
// System.out.println("Writing "+c.getCategoryNumber()+" "+c.inputThatTopic());
BufferedWriter bw;
String fileName = c.getFilename();
if (fileMap.containsKey(fileName)) bw = fileMap.get(fileName);
else {
String copyright = Utilities.getCopyright(this, fileName);
bw = new BufferedWriter(new FileWriter(aiml_path + "/" + fileName));
fileMap.put(fileName, bw);
bw.write("<?xml version=\"1.0\" encoding=\"UTF-8\"?>" + "\n" + "<aiml>\n");
bw.write(copyright);
// bw.newLine();
}
bw.write(Category.categoryToAIML(c) + "\n");
// bw.newLine();
} catch (Exception ex) {
ex.printStackTrace();
}
}
Set set = fileMap.keySet();
for (Object aSet : set) {
BufferedWriter bw = fileMap.get(aSet);
// Close the bw
try {
if (bw != null) {
bw.write("</aiml>\n");
bw.flush();
bw.close();
}
} catch (IOException ex) {
ex.printStackTrace();
}
}
File dir = new File(aiml_path);
dir.setLastModified(new Date().getTime());
}
/**
* read categories from specified AIMLIF file into specified graph
*
* @param graph Graphmaster to store categories
* @param fileName file name of AIMLIF file
*/
public int readCertainIFCategories(Graphmaster graph, String fileName) {
int cnt = 0;
try {
Alice.getContext()
.getAssets()
.open(aimlif_path + "/" + fileName + MagicStrings.aimlif_file_suffix);
ArrayList<Category> certainCategories =
readIFCategories(aimlif_path + "/" + fileName + MagicStrings.aimlif_file_suffix);
for (Category d : certainCategories) graph.addCategory(d);
cnt = certainCategories.size();
System.out.println(
"readCertainIFCategories "
+ cnt
+ " categories from "
+ fileName
+ MagicStrings.aimlif_file_suffix);
} catch (IOException e) {
System.out.println("Problem loading " + fileName);
e.printStackTrace();
}
return cnt;
}
/** Write all AIMLIF files from bot brain */
public void writeAIMLIFFiles() {
if (MagicBooleans.trace_mode) System.out.println("writeAIMLIFFiles");
HashMap<String, BufferedWriter> fileMap = new HashMap<String, BufferedWriter>();
Category b = new Category(0, "BRAIN BUILD", "*", "*", new Date().toString(), "update.aiml");
brain.addCategory(b);
ArrayList<Category> brainCategories = brain.getCategories();
Collections.sort(brainCategories, Category.CATEGORY_NUMBER_COMPARATOR);
for (Category c : brainCategories) {
try {
BufferedWriter bw;
File aimlifFile;
String fileName = c.getFilename();
if (fileMap.containsKey(fileName)) bw = fileMap.get(fileName);
else {
aimlifFile = new File(aimlif_path + "/" + fileName + MagicStrings.aimlif_file_suffix);
aimlifFile.getParentFile().mkdirs();
bw = new BufferedWriter(new FileWriter(aimlifFile));
fileMap.put(fileName, bw);
}
bw.write(Category.categoryToIF(c));
bw.newLine();
} catch (Exception ex) {
ex.printStackTrace();
}
}
Set set = fileMap.keySet();
for (Object aSet : set) {
BufferedWriter bw = fileMap.get(aSet);
// Close the bw
try {
if (bw != null) {
bw.flush();
bw.close();
}
} catch (IOException ex) {
ex.printStackTrace();
}
}
File dir = new File(aimlif_path);
dir.setLastModified(new Date().getTime());
}
/**
* read categories from specified AIMLIF file into specified graph
*
* @param graph Graphmaster to store categories
* @param fileName file name of AIMLIF file
*/
public int readCertainIFCategories(Graphmaster graph, String fileName) {
int cnt = 0;
File file = new File(aimlif_path + "/" + fileName + MagicStrings.aimlif_file_suffix);
if (file.exists()) {
try {
ArrayList<Category> certainCategories =
readIFCategories(aimlif_path + "/" + fileName + MagicStrings.aimlif_file_suffix);
for (Category d : certainCategories) graph.addCategory(d);
cnt = certainCategories.size();
System.out.println(
"readCertainIFCategories "
+ cnt
+ " categories from "
+ fileName
+ MagicStrings.aimlif_file_suffix);
} catch (Exception iex) {
System.out.println("Problem loading " + fileName);
iex.printStackTrace();
}
} else
System.out.println(
"No " + aimlif_path + "/" + fileName + MagicStrings.aimlif_file_suffix + " file found");
return cnt;
}
/**
* 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;
}
