(assistant) Remove more link text junk from suggestions at loadtime.

Improve suggestions by loading a secondary suggestions set with link text data.

code/services-application/search-service/resources/jte/part/warmup.jte

@@ -1,9 +1,16 @@
 This is a bit of a hack!
 
 This class exists to let tailwind we're using these classes even though they aren't visible in the code,
-as we sometimes generate classes from Java code!
+as we sometimes generate classes from Java code or javascript!
 
 <i class="text-blue-800 bg-blue-50 dark:text-blue-200 dark:bg-blue-950"></i>
 <i class="text-green-800 bg-green-50 dark:text-green-200 dark:bg-green-950"></i>
 <i class="text-purple-800 bg-purple-50 dark:text-purple-200 dark:bg-purple-950"></i>
 <i class="text-blue-950 bg-gray-100 dark:text-blue-50 dark:bg-gray-900"></i>
+<span class="hover:bg-gray-300 "></span>
+
+<label class="suggestion group block relative">
+    <input type="radio" name="suggestion" class="peer hidden" checked>
+    <div class="px-4 py-2 cursor-pointer dark:peer-checked:bg-gray-700 dark:hover:bg-gray-700 peer-checked:bg-gray-300 hover:bg-gray-300 w-full">
+    </div>
+</label>

code/services-application/search-service/resources/jte/serp/part/searchform.jte

@@ -27,7 +27,7 @@
                    id="searchInput" />
         @endif
 
-        <div id="searchSuggestions" class="text-sm absolute top-2 mt-10 w-96 bg-white dark:bg-black border dark:border-gray-600 border-gray-200 rounded-lg shadow-lg hidden"></div>
+        <div aria-hidden="true" id="searchSuggestions" class="text-sm absolute top-3 mt-10 w-96 bg-white dark:bg-black border dark:border-gray-600 border-gray-300 rounded-lg shadow-lg hidden"></div>
 
         <button class="px-4 py-2 bg-margeblue text-white ml-2 rounded whitespace-nowrap active:text-slate-200">
             <i class="fas fa-search text-sm sm:mr-3"></i>

code/services-application/search-service/resources/static/js/typeahead.js

@@ -43,12 +43,12 @@ function displaySuggestions(suggestions) {
     }
 
     suggestionsContainer.innerHTML = suggestions.map((suggestion, index) => `
-                <div 
-                    class="suggestion px-4 py-2 cursor-pointer hover:bg-gray-100 ${index === selectedIndex ? 'bg-blue-50' : ''}"
-                    data-index="${index}"
-                >
+        <label class="suggestion group block relative">
+            <input type="radio" name="suggestion" class="peer hidden" ${index === selectedIndex ? 'checked' : ''}>
+            <div class="px-4 py-2 cursor-pointer dark:peer-checked:bg-gray-700 dark:hover:bg-gray-700 peer-checked:bg-gray-300 hover:bg-gray-300 w-full" data-index="${index}">
                 ${suggestion}
             </div>
+        </label>
     `).join('');
 
     suggestionsContainer.classList.remove('hidden');

code/services-core/assistant-service/java/nu/marginalia/assistant/AssistantModule.java

@@ -10,7 +10,8 @@ import static com.google.inject.name.Names.named;
 
 public class AssistantModule extends AbstractModule {
     public void configure() {
-        bind(Path.class).annotatedWith(named("suggestions-file")).toInstance(WmsaHome.getHomePath().resolve("data/suggestions.txt"));
+        bind(Path.class).annotatedWith(named("suggestions-file1")).toInstance(WmsaHome.getHomePath().resolve("data/suggestions2.txt.gz"));
+        bind(Path.class).annotatedWith(named("suggestions-file2")).toInstance(WmsaHome.getHomePath().resolve("data/suggestions3.txt.gz"));
 
         bind(LanguageModels.class).toInstance(WmsaHome.getLanguageModels());
     }

code/services-core/assistant-service/java/nu/marginalia/assistant/suggest/PrefixSearchStructure.java

@@ -0,0 +1,465 @@
+package nu.marginalia.assistant.suggest;
+
+import gnu.trove.list.array.TIntArrayList;
+import org.jetbrains.annotations.NotNull;
+
+import java.util.*;
+
+/** Unhinged data structure for fast prefix searching.
+ */
+public class PrefixSearchStructure {
+    // Core data structures
+    private final HashMap<String, TIntArrayList> prefixIndex;     // Short prefix index (up to 8 chars)
+    private final HashMap<String, TIntArrayList> longPrefixIndex; // Long prefix index (9-16 chars)
+    private final ArrayList<String> words;                        // All words by ID
+    private final TIntArrayList wordScores;                       // Scores for all words
+
+    // Configuration
+    private static final int SHORT_PREFIX_LENGTH = 8;
+    private static final int MAX_INDEXED_PREFIX_LENGTH = 16;
+
+    public int size() {
+        return words.size();
+    }
+
+    // For sorting efficiency
+    private static class WordScorePair {
+        final String word;
+        final int score;
+
+        WordScorePair(String word, int score) {
+            this.word = word;
+            this.score = score;
+        }
+    }
+
+    /**
+     * Creates a new PrefixTrie for typeahead search.
+     */
+    public PrefixSearchStructure() {
+        prefixIndex = new HashMap<>(1024);
+        longPrefixIndex = new HashMap<>(1024);
+        words = new ArrayList<>(1024);
+        wordScores = new TIntArrayList(1024);
+    }
+
+    /**
+     * Adds a prefix to the index.
+     */
+    private void indexPrefix(String word, int wordId) {
+        // Index short prefixes
+        for (int i = 1; i <= Math.min(word.length(), SHORT_PREFIX_LENGTH); i++) {
+            String prefix = word.substring(0, i);
+            TIntArrayList wordIds = prefixIndex.computeIfAbsent(
+                    prefix, k -> new TIntArrayList(16));
+            wordIds.add(wordId);
+        }
+
+        // Index longer prefixes
+        for (int i = SHORT_PREFIX_LENGTH + 1; i <= Math.min(word.length(), MAX_INDEXED_PREFIX_LENGTH); i++) {
+            String prefix = word.substring(0, i);
+            TIntArrayList wordIds = longPrefixIndex.computeIfAbsent(
+                    prefix, k -> new TIntArrayList(8));
+            wordIds.add(wordId);
+        }
+
+        // If the word contains spaces, also index by each term for multi-word queries
+        if (word.contains(" ")) {
+            String[] terms = word.split("\\s+");
+            for (String term : terms) {
+                if (term.length() >= 2) {
+                    for (int i = 1; i <= Math.min(term.length(), SHORT_PREFIX_LENGTH); i++) {
+                        String termPrefix = "t:" + term.substring(0, i);
+                        TIntArrayList wordIds = prefixIndex.computeIfAbsent(
+                                termPrefix, k -> new TIntArrayList(16));
+                        wordIds.add(wordId);
+                    }
+                }
+            }
+        }
+    }
+
+    /**
+     * Inserts a word with its associated score.
+     */
+    public void insert(String word, int score) {
+        if (word == null || word.isEmpty()) {
+            return;
+        }
+
+        // Add to the word list and index
+        int wordId = words.size();
+        words.add(word);
+        wordScores.add(score);
+        indexPrefix(word, wordId);
+    }
+
+    /**
+     * Returns the top k completions for a given prefix.
+     */
+    public List<ScoredSuggestion> getTopCompletions(String prefix, int k) {
+        if (prefix == null || prefix.isEmpty()) {
+            // Return top k words by score
+            return getTopKWords(k);
+        }
+
+        // Check if this is a term search (t:) - for searching within multi-word items
+        boolean isTermSearch = false;
+        if (prefix.startsWith("t:") && prefix.length() > 2) {
+            isTermSearch = true;
+            prefix = prefix.substring(2);
+        }
+
+        // 1. Fast path for short prefixes
+        if (prefix.length() <= SHORT_PREFIX_LENGTH) {
+            String lookupPrefix = isTermSearch ? "t:" + prefix : prefix;
+            TIntArrayList wordIds = prefixIndex.get(lookupPrefix);
+            if (wordIds != null) {
+                return getTopKFromWordIds(wordIds, k);
+            }
+        }
+
+        // 2. Fast path for long prefixes (truncate to MAX_INDEXED_PREFIX_LENGTH)
+        if (prefix.length() > SHORT_PREFIX_LENGTH) {
+            // Try exact match in longPrefixIndex first
+            if (prefix.length() <= MAX_INDEXED_PREFIX_LENGTH) {
+                TIntArrayList wordIds = longPrefixIndex.get(prefix);
+                if (wordIds != null) {
+                    return getTopKFromWordIds(wordIds, k);
+                }
+            }
+
+            // If prefix is longer than MAX_INDEXED_PREFIX_LENGTH, truncate and filter
+            if (prefix.length() > MAX_INDEXED_PREFIX_LENGTH) {
+                String truncatedPrefix = prefix.substring(0, MAX_INDEXED_PREFIX_LENGTH);
+                TIntArrayList candidateIds = longPrefixIndex.get(truncatedPrefix);
+                if (candidateIds != null) {
+                    // Filter candidates by the full prefix
+                    return getFilteredTopKFromWordIds(candidateIds, prefix, k);
+                }
+            }
+        }
+
+        // 3. Optimized fallback for long prefixes - use prefix tree for segments
+        List<ScoredSuggestion> results = new ArrayList<>();
+
+        // Handle multi-segment queries by finding candidates from first 8 chars
+        if (prefix.length() > SHORT_PREFIX_LENGTH) {
+            String shortPrefix = prefix.substring(0, Math.min(prefix.length(), SHORT_PREFIX_LENGTH));
+            TIntArrayList candidates = prefixIndex.get(shortPrefix);
+
+            if (candidates != null) {
+                return getFilteredTopKFromWordIds(candidates, prefix, k);
+            }
+        }
+
+        // 4. Last resort - optimized binary search in sorted segments
+        return findByBinarySearchPrefix(prefix, k);
+    }
+
+    /**
+     * Helper to get the top k words by score.
+     */
+    private List<ScoredSuggestion> getTopKWords(int k) {
+        // Create pairs of (score, wordId)
+        int[][] pairs = new int[words.size()][2];
+        for (int i = 0; i < words.size(); i++) {
+            pairs[i][0] = wordScores.get(i);
+            pairs[i][1] = i;
+        }
+
+        // Sort by score (descending)
+        Arrays.sort(pairs, (a, b) -> Integer.compare(b[0], a[0]));
+
+        // Take top k
+        List<ScoredSuggestion> results = new ArrayList<>();
+        for (int i = 0; i < Math.min(k, pairs.length); i++) {
+            String word = words.get(pairs[i][1]);
+            int score = pairs[i][0];
+            results.add(new ScoredSuggestion(word, score));
+        }
+
+        return results;
+    }
+
+    /**
+     * Helper to get the top k words from a list of word IDs.
+     */
+    private List<ScoredSuggestion> getTopKFromWordIds(TIntArrayList wordIds, int k) {
+        if (wordIds == null || wordIds.isEmpty()) {
+            return Collections.emptyList();
+        }
+
+        // For small lists, avoid sorting
+        if (wordIds.size() <= k) {
+            List<ScoredSuggestion> results = new ArrayList<>(wordIds.size());
+            int[] ids = wordIds.toArray();
+            for (int wordId : ids) {
+                if (wordId >= 0 && wordId < words.size()) {
+                    results.add(new ScoredSuggestion(words.get(wordId), wordScores.get(wordId)));
+                }
+            }
+            results.sort((a, b) -> Integer.compare(b.getScore(), a.getScore()));
+            return results;
+        }
+
+        // For larger lists, use an array-based approach for better performance
+        // Find top k without full sorting
+        int[] topScores = new int[k];
+        int[] topWordIds = new int[k];
+        int[] ids = wordIds.toArray();
+
+        // Initialize with first k elements
+        int filledCount = Math.min(k, ids.length);
+        for (int i = 0; i < filledCount; i++) {
+            int wordId = ids[i];
+            if (wordId >= 0 && wordId < words.size()) {
+                topWordIds[i] = wordId;
+                topScores[i] = wordScores.get(wordId);
+            }
+        }
+
+        // Sort initial elements
+        for (int i = 0; i < filledCount; i++) {
+            for (int j = i + 1; j < filledCount; j++) {
+                if (topScores[j] > topScores[i]) {
+                    // Swap scores
+                    int tempScore = topScores[i];
+                    topScores[i] = topScores[j];
+                    topScores[j] = tempScore;
+
+                    // Swap word IDs
+                    int tempId = topWordIds[i];
+                    topWordIds[i] = topWordIds[j];
+                    topWordIds[j] = tempId;
+                }
+            }
+        }
+
+        // Process remaining elements
+        int minScore = filledCount > 0 ? topScores[filledCount - 1] : Integer.MIN_VALUE;
+
+        for (int i = k; i < ids.length; i++) {
+            int wordId = ids[i];
+            if (wordId >= 0 && wordId < words.size()) {
+                int score = wordScores.get(wordId);
+
+                if (score > minScore) {
+                    // Replace the lowest element
+                    topScores[filledCount - 1] = score;
+                    topWordIds[filledCount - 1] = wordId;
+
+                    // Bubble up the new element
+                    for (int j = filledCount - 1; j > 0; j--) {
+                        if (topScores[j] > topScores[j - 1]) {
+                            // Swap scores
+                            int tempScore = topScores[j];
+                            topScores[j] = topScores[j - 1];
+                            topScores[j - 1] = tempScore;
+
+                            // Swap word IDs
+                            int tempId = topWordIds[j];
+                            topWordIds[j] = topWordIds[j - 1];
+                            topWordIds[j - 1] = tempId;
+                        } else {
+                            break;
+                        }
+                    }
+
+                    // Update min score
+                    minScore = topScores[filledCount - 1];
+                }
+            }
+        }
+
+        // Create result list
+        List<ScoredSuggestion> results = new ArrayList<>(filledCount);
+        for (int i = 0; i < filledCount; i++) {
+            results.add(new ScoredSuggestion(words.get(topWordIds[i]), topScores[i]));
+        }
+
+        return results;
+    }
+
+    /**
+     * Use binary search on sorted word segments to efficiently find matches.
+     */
+    private List<ScoredSuggestion> findByBinarySearchPrefix(String prefix, int k) {
+        // If we have a lot of words, use an optimized segment approach
+        if (words.size() > 1000) {
+            // Divide words into segments for better locality
+            int segmentSize = 1000;
+            int numSegments = (words.size() + segmentSize - 1) / segmentSize;
+
+            // Find matches using binary search within each segment
+            List<WordScorePair> allMatches = new ArrayList<>();
+            for (int segment = 0; segment < numSegments; segment++) {
+                int start = segment * segmentSize;
+                int end = Math.min(start + segmentSize, words.size());
+
+                // Binary search for first potential match
+                int pos = Collections.binarySearch(
+                        words.subList(start, end),
+                        prefix,
+                        (a, b) -> a.compareTo(b)
+                );
+
+                if (pos < 0) {
+                    pos = -pos - 1;
+                }
+
+                // Collect all matches
+                for (int i = start + pos; i < end && i < words.size(); i++) {
+                    String word = words.get(i);
+                    if (word.startsWith(prefix)) {
+                        allMatches.add(new WordScorePair(word, wordScores.get(i)));
+                    } else if (word.compareTo(prefix) > 0) {
+                        break; // Past potential matches
+                    }
+                }
+            }
+
+            // Sort by score and take top k
+            allMatches.sort((a, b) -> Integer.compare(b.score, a.score));
+            List<ScoredSuggestion> results = new ArrayList<>(Math.min(k, allMatches.size()));
+            for (int i = 0; i < Math.min(k, allMatches.size()); i++) {
+                WordScorePair pair = allMatches.get(i);
+                results.add(new ScoredSuggestion(pair.word, pair.score));
+            }
+            return results;
+        }
+
+        // Fallback for small dictionaries - linear scan but optimized
+        return simpleSearchFallback(prefix, k);
+    }
+
+    /**
+     * Optimized linear scan - only used for small dictionaries.
+     */
+    private List<ScoredSuggestion> simpleSearchFallback(String prefix, int k) {
+        // Use primitive arrays for better cache locality
+        int[] matchScores = new int[Math.min(words.size(), 100)]; // Assume we won't find more than 100 matches
+        String[] matchWords = new String[matchScores.length];
+        int matchCount = 0;
+
+        for (int i = 0; i < words.size() && matchCount < matchScores.length; i++) {
+            String word = words.get(i);
+            if (word.startsWith(prefix)) {
+                matchWords[matchCount] = word;
+                matchScores[matchCount] = wordScores.get(i);
+                matchCount++;
+            }
+        }
+
+        // Sort matches by score (in-place for small arrays)
+        for (int i = 0; i < matchCount; i++) {
+            for (int j = i + 1; j < matchCount; j++) {
+                if (matchScores[j] > matchScores[i]) {
+                    // Swap scores
+                    int tempScore = matchScores[i];
+                    matchScores[i] = matchScores[j];
+                    matchScores[j] = tempScore;
+
+                    // Swap words
+                    String tempWord = matchWords[i];
+                    matchWords[i] = matchWords[j];
+                    matchWords[j] = tempWord;
+                }
+            }
+        }
+
+        // Create results
+        List<ScoredSuggestion> results = new ArrayList<>(Math.min(k, matchCount));
+        for (int i = 0; i < Math.min(k, matchCount); i++) {
+            results.add(new ScoredSuggestion(matchWords[i], matchScores[i]));
+        }
+
+        return results;
+    }
+
+    /**
+     * Get top k words from candidate IDs, filtering by the full prefix.
+     */
+    private List<ScoredSuggestion> getFilteredTopKFromWordIds(TIntArrayList wordIds, String fullPrefix, int k) {
+        if (wordIds == null || wordIds.isEmpty()) {
+            return Collections.emptyList();
+        }
+
+        // Make primitive arrays for better performance
+        String[] matchWords = new String[Math.min(wordIds.size(), 1000)];
+        int[] matchScores = new int[matchWords.length];
+        int matchCount = 0;
+
+        int[] ids = wordIds.toArray();
+        for (int i = 0; i < ids.length && matchCount < matchWords.length; i++) {
+            int wordId = ids[i];
+            if (wordId >= 0 && wordId < words.size()) {
+                String word = words.get(wordId);
+                if (word.startsWith(fullPrefix)) {
+                    matchWords[matchCount] = word;
+                    matchScores[matchCount] = wordScores.get(wordId);
+                    matchCount++;
+                }
+            }
+        }
+
+        // Sort by score (efficient insertion sort for small k)
+        for (int i = 0; i < Math.min(matchCount, k); i++) {
+            int maxPos = i;
+            for (int j = i + 1; j < matchCount; j++) {
+                if (matchScores[j] > matchScores[maxPos]) {
+                    maxPos = j;
+                }
+            }
+            if (maxPos != i) {
+                // Swap
+                int tempScore = matchScores[i];
+                matchScores[i] = matchScores[maxPos];
+                matchScores[maxPos] = tempScore;
+
+                String tempWord = matchWords[i];
+                matchWords[i] = matchWords[maxPos];
+                matchWords[maxPos] = tempWord;
+            }
+        }
+
+        // Create result list (only up to k elements)
+        List<ScoredSuggestion> results = new ArrayList<>(Math.min(k, matchCount));
+        for (int i = 0; i < Math.min(k, matchCount); i++) {
+            results.add(new ScoredSuggestion(matchWords[i], matchScores[i]));
+        }
+
+        return results;
+    }
+
+    /**
+     * Class representing a suggested completion.
+     */
+    public static class ScoredSuggestion implements Comparable<ScoredSuggestion> {
+        private final String word;
+        private final int score;
+
+        public ScoredSuggestion(String word, int score) {
+            this.word = word;
+            this.score = score;
+        }
+
+        public String getWord() {
+            return word;
+        }
+
+        public int getScore() {
+            return score;
+        }
+
+        @Override
+        public String toString() {
+            return word + " (" + score + ")";
+        }
+
+        @Override
+        public int compareTo(@NotNull PrefixSearchStructure.ScoredSuggestion o) {
+            return Integer.compare(this.score, o.score);
+        }
+    }
+}

code/services-core/assistant-service/java/nu/marginalia/assistant/suggest/Suggestions.java

@@ -2,74 +2,89 @@ package nu.marginalia.assistant.suggest;
 
 import com.google.inject.Inject;
 import com.google.inject.name.Named;
-import nu.marginalia.functions.math.dict.SpellChecker;
-import nu.marginalia.term_frequency_dict.TermFrequencyDict;
-import nu.marginalia.model.crawl.HtmlFeature;
-import org.apache.commons.collections4.trie.PatriciaTrie;
 import org.apache.commons.lang3.StringUtils;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
+import java.io.BufferedInputStream;
 import java.io.IOException;
 import java.nio.file.Files;
 import java.nio.file.Path;
+import java.nio.file.StandardOpenOption;
 import java.util.*;
-import java.util.function.Supplier;
-import java.util.regex.Pattern;
-import java.util.stream.Collectors;
-import java.util.stream.Stream;
+import java.util.zip.GZIPInputStream;
 
 public class Suggestions {
-    private PatriciaTrie<String> suggestionsTrie = null;
-    private TermFrequencyDict termFrequencyDict = null;
-    private volatile boolean ready = false;
-    private final SpellChecker spellChecker;
+    List<PrefixSearchStructure> searchStructures = new ArrayList<>();
+
+    private volatile boolean ready = false;
 
-    private static final Pattern suggestionPattern = Pattern.compile("^[a-zA-Z0-9]+( [a-zA-Z0-9]+)*$");
     private static final Logger logger = LoggerFactory.getLogger(Suggestions.class);
 
     private static final int MIN_SUGGEST_LENGTH = 3;
     @Inject
-    public Suggestions(@Named("suggestions-file") Path suggestionsFile,
-                       SpellChecker spellChecker,
-                       TermFrequencyDict dict
+    public Suggestions(@Named("suggestions-file1") Path suggestionsFile1,
+                       @Named("suggestions-file2") Path suggestionsFile2
                        ) {
-        this.spellChecker = spellChecker;
 
         Thread.ofPlatform().start(() -> {
-            suggestionsTrie = loadSuggestions(suggestionsFile);
-            termFrequencyDict = dict;
+            searchStructures.add(loadSuggestions(suggestionsFile1));
+            searchStructures.add(loadSuggestions(suggestionsFile2));
             ready = true;
-            logger.info("Loaded {} suggestions", suggestionsTrie.size());
+            logger.info("Loaded suggestions");
         });
     }
 
-    private static PatriciaTrie<String> loadSuggestions(Path file) {
+    private static PrefixSearchStructure loadSuggestions(Path file) {
+        PrefixSearchStructure ret = new PrefixSearchStructure();
+
         if (!Files.exists(file)) {
             logger.error("Suggestions file {} absent, loading empty suggestions db", file);
-            return new PatriciaTrie<>();
-        }
-        try (var lines = Files.lines(file)) {
-            var ret = new PatriciaTrie<String>();
-
-            lines.filter(suggestionPattern.asPredicate())
-                    .filter(line -> line.length()<32)
-                    .map(String::toLowerCase)
-                    .forEach(w -> ret.put(w, w));
-
-            // Add special keywords to the suggestions
-            for (var feature : HtmlFeature.values()) {
-                String keyword = feature.getKeyword();
-
-                ret.put(keyword, keyword);
-                ret.put("-" + keyword, "-" + keyword);
+            return ret;
         }
 
+        try (var scanner = new Scanner(new GZIPInputStream(new BufferedInputStream(Files.newInputStream(file, StandardOpenOption.READ))))) {
+            while (scanner.hasNextLine()) {
+                String line = scanner.nextLine().trim();
+                String[] parts = StringUtils.split(line, " ,", 2);
+                if (parts.length != 2) {
+                    logger.warn("Invalid suggestion line: {}", line);
+                    continue;
+                }
+                int cnt = Integer.parseInt(parts[0]);
+                if (cnt > 1) {
+                    String word = parts[1];
+
+                    // Remove quotes and trailing periods if this is a CSV
+                    if (word.startsWith("\"") && word.endsWith("\"")) {
+                        word = word.substring(1, word.length() - 1);
+                    }
+
+                    // Remove trailing periods
+                    while (word.endsWith(".")) {
+                        word = word.substring(0, word.length() - 1);
+                    }
+
+                    // Remove junk items we may have gotten from link extraction
+                    if (word.startsWith("click here"))
+                        continue;
+                    if (word.contains("new window"))
+                        continue;
+                    if (word.contains("click to"))
+                        continue;
+                    if (word.startsWith("share "))
+                        continue;
+
+                    if (word.length() > 3) {
+                        ret.insert(word, cnt);
+                    }
+                }
+            }
             return ret;
         }
         catch (IOException ex) {
             logger.error("Failed to load suggestions file", ex);
-            return new PatriciaTrie<>();
+            return new PrefixSearchStructure();
         }
     }
 
@@ -83,96 +98,36 @@ public class Suggestions {
 
         searchWord = StringUtils.stripStart(searchWord.toLowerCase(), " ");
 
-        return Stream.of(
-                    new SuggestionStream("", getSuggestionsForKeyword(count, searchWord)),
-                    suggestionsForLastWord(count, searchWord),
-                    spellCheckStream(searchWord)
-                )
-                .flatMap(SuggestionsStreamable::stream)
-                .limit(count)
-                .collect(Collectors.toList());
+        return getSuggestionsForKeyword(count, searchWord);
     }
 
-    private SuggestionsStreamable suggestionsForLastWord(int count, String searchWord) {
-        int sp = searchWord.lastIndexOf(' ');
-
-        if (sp < 0) {
-            return Stream::empty;
-        }
-
-        String prefixString = searchWord.substring(0, sp+1);
-        String suggestString = searchWord.substring(sp+1);
-
-        return new SuggestionStream(prefixString, getSuggestionsForKeyword(count, suggestString));
-
-    }
-
-    private SuggestionsStreamable spellCheckStream(String word) {
-        int start = word.lastIndexOf(' ');
-        String prefix;
-        String corrWord;
-
-        if (start < 0) {
-            corrWord = word;
-            prefix = "";
-        }
-        else {
-            prefix = word.substring(0, start + 1);
-            corrWord = word.substring(start + 1);
-        }
-
-        if (corrWord.length() >= MIN_SUGGEST_LENGTH) {
-            Supplier<Stream<String>> suggestionsLazyEval = () -> spellChecker.correct(corrWord).stream();
-            return new SuggestionStream(prefix, Stream.of(suggestionsLazyEval).flatMap(Supplier::get));
-        }
-        else {
-            return Stream::empty;
-        }
-    }
-
-
-    public Stream<String> getSuggestionsForKeyword(int count, String prefix) {
+    public List<String> getSuggestionsForKeyword(int count, String prefix) {
         if (!ready)
-            return Stream.empty();
+            return List.of();
 
         if (prefix.length() < MIN_SUGGEST_LENGTH) {
-            return Stream.empty();
+            return List.of();
         }
 
-        var start = suggestionsTrie.select(prefix);
+        List<PrefixSearchStructure.ScoredSuggestion> resultsAll = new ArrayList<>();
 
-        if (start == null) {
-            return Stream.empty();
+        for (var searchStructure : searchStructures) {
+            resultsAll.addAll(searchStructure.getTopCompletions(prefix, count));
         }
+        resultsAll.sort(Comparator.reverseOrder());
+        List<String> ret = new ArrayList<>(count);
 
-        if (!start.getKey().startsWith(prefix)) {
-            return Stream.empty();
+        Set<String> seen = new HashSet<>();
+        for (var result : resultsAll) {
+            if (seen.add(result.getWord())) {
+                ret.add(result.getWord());
             }
-
-        SuggestionsValueCalculator sv = new SuggestionsValueCalculator();
-
-        return Stream.iterate(start.getKey(), Objects::nonNull, suggestionsTrie::nextKey)
-                .takeWhile(s -> s.startsWith(prefix))
-                .limit(256)
-                .sorted(Comparator.comparing(sv::get).thenComparing(String::length).thenComparing(Comparator.naturalOrder()))
-                .limit(count);
-    }
-
-    private record SuggestionStream(String prefix, Stream<String> suggestionStream) implements SuggestionsStreamable {
-        public Stream<String> stream() {
-            return suggestionStream.map(s -> prefix + s);
+            if (ret.size() >= count) {
+                break;
             }
         }
 
-    interface SuggestionsStreamable { Stream<String> stream(); }
-
-    private class SuggestionsValueCalculator {
-
-        private final Map<String, Long> hashCache = new HashMap<>(512);
-
-        public int get(String s) {
-            long hash = hashCache.computeIfAbsent(s, TermFrequencyDict::getStringHash);
-            return -termFrequencyDict.getTermFreqHash(hash);
-        }
+        return ret;
     }
+
 }

code/services-core/control-service/java/nu/marginalia/control/ControlMain.java

@@ -59,9 +59,14 @@ public class ControlMain extends MainClass {
             download(adblockFile, new URI("https://downloads.marginalia.nu/data/adblock.txt"));
         }
 
-        Path suggestionsFile = dataPath.resolve("suggestions.txt");
+        Path suggestionsFile = dataPath.resolve("suggestions2.txt.gz");
         if (!Files.exists(suggestionsFile)) {
-            downloadGzipped(suggestionsFile, new URI("https://downloads.marginalia.nu/data/suggestions.txt.gz"));
+            download(suggestionsFile, new URI("https://downloads.marginalia.nu/data/suggestions2.txt.gz"));
+        }
+
+        Path altSuggestionsFile = dataPath.resolve("suggestions3.txt.gz");
+        if (!Files.exists(altSuggestionsFile)) {
+            download(altSuggestionsFile, new URI("https://downloads.marginalia.nu/data/suggestions3.txt.gz"));
         }
 
         Path asnRawData = dataPath.resolve("asn-data-raw-table");

deploy.txt

@@ -2,3 +2,4 @@
 
 2025-01-08:  Deploy executor.
 2025-01-07:  Deploy executor.
+2025-04-24:  Deploy executor.