private List <LinkedList <T> > ConvertMultiSearchResultToList(MultiSearchResult multiSearchResult)
{
List <LinkedList <T> > result = new List <LinkedList <T> >();
List <LinkedList <ViterbiNode> > paths = multiSearchResult.GetTokenizedResultsList();
foreach (LinkedList <ViterbiNode> path in paths)
{
var tokens = new LinkedList <T>();
foreach (ViterbiNode node in path)
{
int wordId = node.WordId;
if (node.Type == ViterbiNode.NodeType.KNOWN && wordId == -1)
{ // Do not include BOS/EOS
continue;
}
T token = tokenFactory.CreateToken(
wordId,
node.Surface,
node.Type,
node.StartIndex,
dictionaryMap[node.Type]
);
tokens.AddLast(token);
}
result.Add(tokens);
}
return(result);
}
/**
* Tokenize input sentence. Up to maxCount different paths of cost at most OPT + costSlack are returned ordered in ascending order by cost, where OPT is the optimal solution.
*
* @param text sentence to tokenize
* @param maxCount maximum number of paths
* @param costSlack maximum cost slack of a path
* @return instance of MultiSearchResult containing the tokenizations
*/
private MultiSearchResult CreateMultiSearchResult(string text, int maxCount, int costSlack)
{
ViterbiLattice lattice = viterbiBuilder.Build(text);
MultiSearchResult multiSearchResult = viterbiSearcher.SearchMultiple(lattice, maxCount, costSlack);
return(multiSearchResult);
}
public void TestMergerTooFew()
{
int maxCount = 5;
int costSlack = 3;
MultiSearchMerger merger = new MultiSearchMerger(maxCount, costSlack);
List <MultiSearchResult> results = new List <MultiSearchResult>();
string[][] surfaces1 = { new string[] { "a", "b" },
new string[] { "c", "d" },
new string[] { "e", "f" } };
int[] costs1 = { 1, 2, 5 };
results.Add(MakeResult(surfaces1, costs1));
string[][] surfaces2 = { new string[] { "a", "b" },
new string[] { "c", "d" } };
int[] costs2 = { 1, 2 };
results.Add(MakeResult(surfaces2, costs2));
string[][] surfaces3 = { new string[] { "a", "b" } };
int[] costs3 = { 5 };
results.Add(MakeResult(surfaces3, costs3));
MultiSearchResult mergedResult = merger.Merge(results);
Assert.AreEqual(4, mergedResult.Count);
Assert.AreEqual(7, mergedResult.GetCost(0));
Assert.AreEqual(8, mergedResult.GetCost(1));
Assert.AreEqual(8, mergedResult.GetCost(2));
Assert.AreEqual(9, mergedResult.GetCost(3));
Assert.AreEqual("a b a b a b", GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(0)));
Assert.AreEqual("c d a b a b", GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(1)));
Assert.AreEqual("a b c d a b", GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(2)));
Assert.AreEqual("c d c d a b", GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(3)));
}
/**
* Tokenizes the provided text and returns up to maxCount lists of tokens with various feature information.
* Each list corresponds to a possible tokenization with cost at most OPT + costSlack, where OPT is the optimal solution.
* <p>
* This method is thread safe
*
* @param text text to tokenize
* @param maxCount maximum number of different tokenizations
* @param costSlack maximum cost slack of a tokenization
* @param <T> token type
* @return list of Token, not null
*/
protected List <LinkedList <T> > CreateMultiTokenList(string text, int maxCount, int costSlack)
{
if (!split)
{
return(ConvertMultiSearchResultToList(CreateMultiSearchResult(text, maxCount, costSlack)));
}
List <int> splitPositions = GetSplitPositions(text);
if (splitPositions.Count == 0)
{
return(ConvertMultiSearchResultToList(CreateMultiSearchResult(text, maxCount, costSlack)));
}
List <MultiSearchResult> results = new List <MultiSearchResult>();
int offset = 0;
foreach (int position in splitPositions)
{
results.Add(CreateMultiSearchResult(text.Substring(offset, position + 1 - offset), maxCount, costSlack));
offset = position + 1;
}
if (offset < text.Length)
{
results.Add(CreateMultiSearchResult(text.Substring(offset), maxCount, costSlack));
}
MultiSearchMerger merger = new MultiSearchMerger(maxCount, costSlack);
MultiSearchResult mergedResult = merger.Merge(results);
return(ConvertMultiSearchResultToList(mergedResult));
}
List <List <T> > ConvertMultiSearchResultToList(MultiSearchResult multiSearchResult)
{
var result = new List <List <T> >();
var paths = multiSearchResult.TokenizedResults;
foreach (var path in paths)
{
var tokens = new List <T>();
foreach (var node in path)
{
var wordId = node.WordId;
if (node.Type == ViterbiNode.NodeType.Known && wordId == -1)
{
// Do not include BOS/EOS
continue;
}
var token = TokenFactory.CreateToken(
wordId,
node.Surface,
node.Type,
node.StartIndex,
DictionaryMap[node.Type]
);
tokens.Add(token);
}
result.Add(tokens);
}
return(result);
}
public void TestMergerTooFew()
{
const int maxCount = 5;
const int costSlack = 3;
var merger = new MultiSearchMerger(maxCount, costSlack);
var results = new List <MultiSearchResult>();
var surfaces1 = new string[][] { new string[] { "a", "b" }, new string[] { "c", "d" }, new string[] { "e", "f" } };
var costs1 = new int[] { 1, 2, 5 };
results.Add(MakeResult(surfaces1, costs1));
var surfaces2 = new string[][] { new string[] { "a", "b" }, new string[] { "c", "d" } };
var costs2 = new int[] { 1, 2 };
results.Add(MakeResult(surfaces2, costs2));
var surfaces3 = new string[][] { new string[] { "a", "b" } };
var costs3 = new int[] { 5 };
results.Add(MakeResult(surfaces3, costs3));
MultiSearchResult mergedResult = merger.Merge(results);
mergedResult.Count.Is(4);
mergedResult.GetCost(0).Is(7);
mergedResult.GetCost(1).Is(8);
mergedResult.GetCost(2).Is(8);
mergedResult.GetCost(3).Is(9);
GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(0)).Is("a b a b a b");
GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(1)).Is("c d a b a b");
GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(2)).Is("a b c d a b");
GetSpaceSeparatedTokens(mergedResult.GetTokenizedResult(3)).Is("c d c d a b");
}
private MultiSearchResult MakeResult(string[][] surfaces, int[] cost)
{
MultiSearchResult ret = new MultiSearchResult();
for (int i = 0; i < surfaces.Length; i++)
{
ret.Add(MakeNodes(surfaces[i]), cost[i]);
}
return(ret);
}
private async void search_button_Click(object sender, EventArgs e)
{
// Written, 10.12.2019
this.searchInput_textBox.Enabled = false;
this.search_button.Enabled = false;
this.search_button.Text = "Searching..";
if (!String.IsNullOrEmpty(this.searchInput_textBox.Text))
{
this.preUpdateLists(this.searchResults_listView);
await this.updateSearchMediaActionsAsync();
MultiSearchResult multiSearch = await MultiSearchResult.searchAsync(this.searchInput_textBox.Text, 1);
List <ListViewItem> items = new List <ListViewItem>();
for (int i = 0; i < ApplicationInfomation.NUMBER_OF_ITEMS_PER_PAGE; i++)
{
MediaSearchResult media = multiSearch.movie_results[i];
if (media == null)
{
media = multiSearch.tv_results[i];
}
if (media != null)
{
string mediaTypeString = media is MovieSearchResult ? "Movie" : media is TvSearchResult ? "Tv" : "Null";
string[] subItems = new string[]
{
media.name,
media.overview,
media.release_date,
media.vote_average.ToString(),
mediaTypeString
};
items.Add(new ListViewItem(subItems)
{
Tag = media
});
}
}
this.postUpdateLists(this.searchResults_listView, items.ToArray());
}
this.searchInput_textBox.Enabled = true;
this.search_button.Enabled = true;
this.search_button.Text = "Search";
}
static async Task Main(string[] args)
{
// Written, 29.11.2019
Console.WriteLine("The Library v1.1 Multi-Search Test\nEnter Phrase and press Enter to search for movies, tv series and people as a multi-search request.");
string searchPhrase = Console.ReadLine();
MultiSearchResult multiSearch = null;
Console.WriteLine("\n\nMulti-Search Function\n-------------------------------------------");
try
{
multiSearch = await MultiSearchResult.searchAsync(searchPhrase, 1);
}
catch (AggregateException ex)
{
string exMessage = ex.Message;
for (int i = 0; i < ex.InnerExceptions.Count; i++)
{
exMessage += String.Format("\n{0}.) {1}", i + 1, ex.InnerExceptions[i].Message);
}
Console.WriteLine("An error occured while performing multi-search function: {0}", exMessage);
}
int totalResults = 0;
for (int i = 0; i < ApplicationInfomation.NUMBER_OF_ITEMS_PER_PAGE; i++)
{
MovieSearchResult movie = multiSearch.movies[i];
if (movie != null)
{
Console.WriteLine("\t[MOVIE] {0} ({1})", movie.name, movie.release_date);
totalResults++;
}
else
{
TvSearchResult tvSeries = multiSearch.tvSeries[i];
if (tvSeries != null)
{
Console.WriteLine("\t[TV] {0} ({1})", tvSeries.name, tvSeries.release_date);
totalResults++;
}
else
{
PeopleSearchResult person = multiSearch.people[i];
if (person != null)
{
Console.WriteLine("\t[PERSON] {0} ({1})", person.id, person.profile_path);
totalResults++;
}
}
}
}
Console.WriteLine("Total Results: {0}", totalResults);
Console.WriteLine("\n\nPress R to restart or press any key to exit");
if (Console.ReadKey().Key == ConsoleKey.R)
{
Console.Clear();
await Main(null);
}
}
public async Task <List <MultiSearchResult> > MultiSearch(string searchTerm, MultiSearchFilter filter, CancellationToken cancellationToken)
{
var lang = await DefaultLanguageCode(null);
var model = new List <MultiSearchResult>();
var movieDbData = (await _movieDbApi.MultiSearch(searchTerm, lang, cancellationToken)).results;
var lidarrSettings = await _lidarrSettings.GetSettingsAsync();
if (lidarrSettings.Enabled && filter.Music)
{
var artistResult = await _musicApi.SearchArtist(searchTerm);
foreach (var artist in artistResult)
{
model.Add(new MultiSearchResult
{
MediaType = "Artist",
Title = artist.Name,
Id = artist.Id
});
}
}
foreach (var multiSearch in movieDbData)
{
if (DemoCheck(multiSearch.title) || DemoCheck(multiSearch.name))
{
continue;
}
var result = new MultiSearchResult
{
MediaType = multiSearch.media_type,
Poster = multiSearch.poster_path,
Overview = multiSearch.overview
};
if (multiSearch.media_type.Equals("movie", StringComparison.InvariantCultureIgnoreCase) && filter.Movies)
{
if (multiSearch.release_date.HasValue() && DateTime.TryParse(multiSearch.release_date, out var releaseDate))
{
result.Title = $"{multiSearch.title} ({releaseDate.Year})";
}
else
{
result.Title = multiSearch.title;
}
}
else if (multiSearch.media_type.Equals("tv", StringComparison.InvariantCultureIgnoreCase) && filter.TvShows)
{
if (multiSearch.release_date.HasValue() && DateTime.TryParse(multiSearch.release_date, out var releaseDate))
{
result.Title = $"{multiSearch.name} ({releaseDate.Year})";
}
else
{
result.Title = multiSearch.name;
}
}
else if (multiSearch.media_type.Equals("person", StringComparison.InvariantCultureIgnoreCase) && filter.People)
{
result.Title = multiSearch.name;
}
else
{
continue;
}
result.Id = multiSearch.id.ToString();
model.Add(result);
}
return(model);
}
// Run the query and combine results across multiple services
static async Task <(int, List <MultiSearchResult>, MultiSearchFacets)> RunQueryAsync(string query, int pageNumber, int pageSize, string searchFields, string facets, List <Service> services)
{
// Page results from all services
var searchResults = new List <IAsyncEnumerator <MultiSearchResultsPage> >();
foreach (Service service in services)
{
IAsyncEnumerable <MultiSearchResultsPage> response = SearchAsync(service, query, pageSize, searchFields, facets);
searchResults.Add(response.GetAsyncEnumerator());
}
// Merge each individual page from every service
// Sort the combined page by result score
int currentPageNumber = 0;
var currentPage = new List <MultiSearchResult>();
var mergedFacets = new MultiSearchFacets();
do
{
// Combine the current page of results from each service
// If the service has no more results, it is discarded
var resultPages = new List <MultiSearchResultsPage>();
var nextSearchResults = new List <IAsyncEnumerator <MultiSearchResultsPage> >();
foreach (IAsyncEnumerator <MultiSearchResultsPage> pageEnumerator in searchResults)
{
if (await pageEnumerator.MoveNextAsync())
{
resultPages.Add(pageEnumerator.Current);
nextSearchResults.Add(pageEnumerator);
}
}
searchResults = nextSearchResults;
var mergedSearchResults = new List <MultiSearchResult>();
foreach (MultiSearchResultsPage resultPage in resultPages)
{
foreach (SearchResult <BookModel> result in resultPage.Page)
{
mergedSearchResults.Add(new MultiSearchResult {
Service = resultPage.Service, Result = result
});
}
if (resultPage.Facets != null)
{
MergeFacets(resultPage.Facets, mergedFacets);
}
}
// Sort the combined pages by score descending
mergedSearchResults.Sort((a, b) =>
{
MultiSearchResult resultA = a;
MultiSearchResult resultB = b;
if (resultA.Result.Score.HasValue && resultB.Result.Score.HasValue)
{
return(resultB.Result.Score.Value.CompareTo(resultA.Result.Score.Value));
}
if (resultA.Result.Score.HasValue && !resultB.Result.Score.HasValue)
{
return(-1);
}
if (!resultA.Result.Score.HasValue && resultB.Result.Score.HasValue)
{
return(1);
}
return(0);
});
// Return sub-pages of results from the combined page
foreach (MultiSearchResult mergedSearchResult in mergedSearchResults)
{
currentPage.Add(mergedSearchResult);
if (currentPage.Count == pageSize)
{
if (currentPageNumber == pageNumber)
{
return(currentPageNumber, currentPage, mergedFacets);
}
currentPage.Clear();
currentPageNumber++;
}
}
}while (searchResults.Any());
// Return any leftover results as the last page
return(currentPageNumber, currentPage, mergedFacets);
}
