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170 lines
6.3 KiB
Java
170 lines
6.3 KiB
Java
/**
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* Copyright (c) 2012 Todoroo Inc
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*
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* <p>See the file "LICENSE" for the full license governing this code.
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*/
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package com.mdimension.jchronic;
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import com.mdimension.jchronic.handlers.Handler;
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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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import java.util.LinkedList;
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import java.util.List;
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public class AstridChronic {
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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 can find a date or
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* time, either a Time or Chronic::Span will be returned (depending on the value of
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* <tt>:guess</tt>). If no date or time can be found, +nil+ will be returned.
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*
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* <p>Options are:
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*
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* <p>[<tt>:context</tt>] <tt>:past</tt> or <tt>:future</tt> (defaults to <tt>:future</tt>)
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*
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* <p>If your string represents a birthday, you can set <tt>:context</tt> to <tt>:past</tt> and if
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* an ambiguous string is given, it will assume it is in the past. Specify <tt>:future</tt> or
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* omit to set a future context.
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*
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* <p>[<tt>:now</tt>] Time (defaults to Time.now)
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*
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* <p>By setting <tt>:now</tt> to a Time, all computations will be based off of that time instead
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* of Time.now
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*
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* <p>[<tt>:guess</tt>] +true+ or +false+ (defaults to +true+)
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*
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* <p>By default, the parser will guess a single point in time for the given date or time. If
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* you'd rather have the entire time span returned, set <tt>:guess</tt> to +false+ and a
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* Chronic::Span will be returned.
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*
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* <p>[<tt>:ambiguous_time_range</tt>] Integer or <tt>:none</tt> (defaults to <tt>6</tt>
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* (6am-6pm))
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*
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* <p>If an Integer is given, ambiguous times (like 5:00) will be assumed to be within the range
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* of that time in the AM to that time in the PM. For example, if you set it to <tt>7</tt>, then
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* the parser will look for the time between 7am and 7pm. In the case of 5:00, it would assume
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* that means 5:00pm. If <tt>:none</tt> is given, no assumption will be made, and the first
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* matching instance of that time will be used.
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*/
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private 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<>();
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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, converting idioms to their
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* canonical form, converting number words to numbers (three => 3), and converting ordinal words
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* to numeric ordinals (third => 3rd)
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*/
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private 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 =
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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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/** Convert ordinal words to numeric ordinals (third => 3rd) */
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private static String numericizeOrdinals(String text) {
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return text;
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}
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/** Split the text on spaces and convert each word into a Token */
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private static List<Token> baseTokenize(String text) {
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String[] words = text.split(" ");
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List<Token> tokens = new LinkedList<>();
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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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/** Guess a specific time within the given span */
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// DIFF: We return Span instead of Date
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private 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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} else {
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guessValue = span.getBegin();
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}
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return new Span(guessValue, guessValue);
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}
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}
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