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package com.mdimension.jchronic;
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import java.util.LinkedList;
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import java.util.List;
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import com.mdimension.jchronic.handlers.Handler;
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import com.mdimension.jchronic.numerizer.Numerizer;
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import com.mdimension.jchronic.repeaters.Repeater;
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import com.mdimension.jchronic.tags.Grabber;
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import com.mdimension.jchronic.tags.Ordinal;
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import com.mdimension.jchronic.tags.Pointer;
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import com.mdimension.jchronic.tags.Scalar;
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import com.mdimension.jchronic.tags.Separator;
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import com.mdimension.jchronic.tags.TimeZone;
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import com.mdimension.jchronic.utils.Span;
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import com.mdimension.jchronic.utils.Token;
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@SuppressWarnings("nls")
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public class AstridChronic {
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public static final String VERSION = "0.2.3";
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private AstridChronic() {
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// DO NOTHING
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}
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public static Span parse(String text) {
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return AstridChronic.parse(text, new Options());
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}
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/**
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* Parses a string containing a natural language date or time. If the parser
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* can find a date or time, either a Time or Chronic::Span will be returned
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* (depending on the value of <tt>:guess</tt>). If no date or time can be found,
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* +nil+ will be returned.
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*
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* Options are:
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*
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* [<tt>:context</tt>]
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* <tt>:past</tt> or <tt>:future</tt> (defaults to <tt>:future</tt>)
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*
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* If your string represents a birthday, you can set <tt>:context</tt> to <tt>:past</tt>
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* and if an ambiguous string is given, it will assume it is in the
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* past. Specify <tt>:future</tt> or omit to set a future context.
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*
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* [<tt>:now</tt>]
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* Time (defaults to Time.now)
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*
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* By setting <tt>:now</tt> to a Time, all computations will be based off
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* of that time instead of Time.now
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*
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* [<tt>:guess</tt>]
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* +true+ or +false+ (defaults to +true+)
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*
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* By default, the parser will guess a single point in time for the
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* given date or time. If you'd rather have the entire time span returned,
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* set <tt>:guess</tt> to +false+ and a Chronic::Span will be returned.
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*
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* [<tt>:ambiguous_time_range</tt>]
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* Integer or <tt>:none</tt> (defaults to <tt>6</tt> (6am-6pm))
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*
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* If an Integer is given, ambiguous times (like 5:00) will be
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* assumed to be within the range of that time in the AM to that time
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* in the PM. For example, if you set it to <tt>7</tt>, then the parser will
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* look for the time between 7am and 7pm. In the case of 5:00, it would
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* assume that means 5:00pm. If <tt>:none</tt> is given, no assumption
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* will be made, and the first matching instance of that time will
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* be used.
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*/
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@SuppressWarnings("unchecked")
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public static Span parse(String text, Options options) {
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// store now for later =)
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//_now = options.getNow();
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// put the text into a normal format to ease scanning
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String normalizedText = AstridChronic.preNormalize(text);
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// get base tokens for each word
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List<Token> tokens = AstridChronic.baseTokenize(normalizedText);
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try {
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tokens = Repeater.scan(tokens, options);
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} catch (Throwable e) {
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throw new RuntimeException("Failed to scan tokens.", e);
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}
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tokens = Grabber.scan(tokens, options);
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tokens = Pointer.scan(tokens, options);
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tokens = Scalar.scan(tokens, options);
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tokens = Ordinal.scan(tokens, options);
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tokens = Separator.scan(tokens, options);
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tokens = TimeZone.scan(tokens, options);
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List<Token> taggedTokens = new LinkedList<Token>();
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for (Token token : tokens) {
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if (token.isTagged()) {
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taggedTokens.add(token);
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}
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}
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tokens = taggedTokens;
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if (options.isDebug()) {
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System.out.println("Chronic.parse: " + tokens);
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}
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Span span = Handler.tokensToSpan(tokens, options);
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// guess a time within a span if required
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if (options.isGuess()) {
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span = guess(span);
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}
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return span;
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}
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/**
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* Clean up the specified input text by stripping unwanted characters,
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* converting idioms to their canonical form, converting number words
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* to numbers (three => 3), and converting ordinal words to numeric
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* ordinals (third => 3rd)
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*/
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protected static String preNormalize(String text) {
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String normalizedText = text.toLowerCase();
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normalizedText = Chronic.numericizeNumbers(normalizedText);
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normalizedText = normalizedText.replaceAll("['\"\\.]", "");
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normalizedText = normalizedText.replaceAll("([/\\-,@])", " $1 ");
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normalizedText = normalizedText.replaceAll("\\btoday\\b", "this day");
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normalizedText = normalizedText.replaceAll("\\btomm?orr?ow\\b", "next day");
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normalizedText = normalizedText.replaceAll("\\byesterday\\b", "last day");
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normalizedText = normalizedText.replaceAll("\\bnoon\\b", "12:00");
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normalizedText = normalizedText.replaceAll("\\bmidnight\\b", "24:00");
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normalizedText = normalizedText.replaceAll("\\bbefore now\\b", "past");
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normalizedText = normalizedText.replaceAll("\\bnow\\b", "this second");
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normalizedText = normalizedText.replaceAll("\\b(ago|before)\\b", "past");
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normalizedText = normalizedText.replaceAll("\\bthis past\\b", "last");
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normalizedText = normalizedText.replaceAll("\\bthis last\\b", "last");
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normalizedText = normalizedText.replaceAll("\\b(?:in|during) the (morning)\\b", "$1");
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normalizedText = normalizedText.replaceAll("\\b(?:in the|during the|at) (afternoon|evening|night)\\b", "$1");
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normalizedText = normalizedText.replaceAll("\\btonight\\b", "this night");
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normalizedText = normalizedText.replaceAll("(?=\\w)([ap]m|oclock)\\b", " $1");
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normalizedText = normalizedText.replaceAll("\\b(hence|after|from)\\b", "future");
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normalizedText = AstridChronic.numericizeOrdinals(normalizedText);
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return normalizedText;
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}
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/**
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* Convert number words to numbers (three => 3)
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*/
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protected static String numericizeNumbers(String text) {
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return Numerizer.numerize(text);
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}
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/**
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* Convert ordinal words to numeric ordinals (third => 3rd)
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*/
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protected static String numericizeOrdinals(String text) {
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return text;
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}
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/**
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* Split the text on spaces and convert each word into
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* a Token
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*/
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protected static List<Token> baseTokenize(String text) {
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String[] words = text.split(" ");
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List<Token> tokens = new LinkedList<Token>();
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for (String word : words) {
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tokens.add(new Token(word));
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}
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return tokens;
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}
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/**
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* Guess a specific time within the given span
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*/
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// DIFF: We return Span instead of Date
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protected static Span guess(Span span) {
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if (span == null) {
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return null;
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}
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long guessValue;
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if (span.getWidth() > 1) {
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guessValue = span.getBegin() + (span.getWidth() / 2);
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}
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else {
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guessValue = span.getBegin();
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}
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Span guess = new Span(guessValue, guessValue);
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return guess;
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}
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}
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