using System;
using System.Collections.Generic;
using System.Linq;
using MarkovGrams.Utilities;
using SBRL.Algorithms;

namespace MarkovGrams
{
	/// <summary>
	/// An unweighted character-based markov chain.
	/// </summary>
	public class WeightedMarkovChain
	{
		private WeightedRandom<string> wrandom = new WeightedRandom<string>();

		/// <summary>
		/// The ngrams that this markov chain currently contains.
		/// </summary>
		Dictionary<string, double> ngrams;

		/// <summary>
		/// Creates a new character-based markov chain.
		/// </summary>
		/// <param name="inNgrams">The ngrams to populate the new markov chain with.</param>
		public WeightedMarkovChain(IEnumerable<string> inNgrams)
		{
			ngrams = new Dictionary<string, double>();
			foreach (string ngram in inNgrams)
			{
				if (ngrams.ContainsKey(ngram))
					ngrams[ngram]++;
				else
					ngrams.Add(ngram, 1);
			}
		}

		/// <summary>
		/// Returns a random ngram that's currently loaded into this WeightedMarkovChain.
		/// </summary>
		/// <returns>A random ngram from this UnweightMarkovChain's cache of ngrams.</returns>
		public string RandomNgram()
		{
			if (wrandom.Count == 0)
				wrandom.SetContents(ngrams);
			return wrandom.Next();
		}

		/// <summary>
		/// Generates a new random string from the currently stored ngrams.
		/// </summary>
		/// <param name="length">
		/// The length of ngram to generate.
		/// Note that this is a target, not a fixed value - e.g. passing 2 when the n-gram order is 3 will
		/// result in a string of length 3. Also, depending on the current ngrams this markov chain contains,
		/// it may end up being cut short. 
		/// </param>
		/// <returns>A new random string.</returns>
		public string Generate(int length)
		{
			string result = RandomNgram();
			string lastNgram = result;
			while(result.Length < length)
			{
				wrandom.ClearContents();
				// The substring that the next ngram in the chain needs to start with
				string nextStartsWith = lastNgram.Substring(1);
				// Get a list of possible n-grams we could choose from next
				Dictionary<string, double> convNextNgrams = new Dictionary<string, double>();
				ngrams.Where(gram_data => gram_data.Key.StartsWith(nextStartsWith))
				      .ForEach((KeyValuePair<string, double> ngramData) => convNextNgrams.Add(ngramData.Key, ngramData.Value));
				// If there aren't any choices left, we can't exactly keep adding to the new string any more :-(
				if(convNextNgrams.Count() == 0)
					break;
				wrandom.SetContents(convNextNgrams);
				// Pick a random n-gram from the list
				string nextNgram = wrandom.Next();
				// Add the last character from the n-gram to the string we're building
				result += nextNgram[nextNgram.Length - 1];
				lastNgram = nextNgram;
			}
			wrandom.ClearContents();
			return result;
		}
	}
}