Complete BZZZ functionality port to CHORUS
🎭 CHORUS now contains full BZZZ functionality adapted for containers Core systems ported: - P2P networking (libp2p with DHT and PubSub) - Task coordination (COOEE protocol) - HMMM collaborative reasoning - SHHH encryption and security - SLURP admin election system - UCXL content addressing - UCXI server integration - Hypercore logging system - Health monitoring and graceful shutdown - License validation with KACHING Container adaptations: - Environment variable configuration (no YAML files) - Container-optimized logging to stdout/stderr - Auto-generated agent IDs for container deployments - Docker-first architecture All proven BZZZ P2P protocols, AI integration, and collaboration features are now available in containerized form. Next: Build and test container deployment. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
anthonyrawlins
663
pkg/slurp/storage/index_manager.go
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663
pkg/slurp/storage/index_manager.go
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@@ -0,0 +1,663 @@
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package storage
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import (
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"context"
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"encoding/json"
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"fmt"
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"sort"
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"strings"
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"sync"
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"time"
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"github.com/blevesearch/bleve/v2"
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"github.com/blevesearch/bleve/v2/analysis/analyzer/standard"
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"github.com/blevesearch/bleve/v2/analysis/lang/en"
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"github.com/blevesearch/bleve/v2/mapping"
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"chorus.services/bzzz/pkg/ucxl"
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slurpContext "chorus.services/bzzz/pkg/slurp/context"
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)
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// IndexManagerImpl implements the IndexManager interface using Bleve
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type IndexManagerImpl struct {
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mu sync.RWMutex
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indexes map[string]bleve.Index
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stats map[string]*IndexStatistics
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basePath string
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nodeID string
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options *IndexManagerOptions
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}
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// IndexManagerOptions configures index manager behavior
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type IndexManagerOptions struct {
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DefaultAnalyzer string `json:"default_analyzer"`
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MaxDocumentSize int64 `json:"max_document_size"`
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RefreshInterval time.Duration `json:"refresh_interval"`
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OptimizeInterval time.Duration `json:"optimize_interval"`
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EnableHighlighting bool `json:"enable_highlighting"`
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EnableFaceting bool `json:"enable_faceting"`
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BatchSize int `json:"batch_size"`
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MaxResults int `json:"max_results"`
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}
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// DefaultIndexManagerOptions returns sensible defaults
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func DefaultIndexManagerOptions() *IndexManagerOptions {
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return &IndexManagerOptions{
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DefaultAnalyzer: "standard",
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MaxDocumentSize: 10 * 1024 * 1024, // 10MB
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RefreshInterval: 5 * time.Minute,
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OptimizeInterval: 1 * time.Hour,
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EnableHighlighting: true,
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EnableFaceting: true,
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BatchSize: 100,
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MaxResults: 1000,
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}
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}
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// NewIndexManager creates a new index manager
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func NewIndexManager(basePath, nodeID string, options *IndexManagerOptions) (*IndexManagerImpl, error) {
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if options == nil {
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options = DefaultIndexManagerOptions()
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}
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im := &IndexManagerImpl{
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indexes: make(map[string]bleve.Index),
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stats: make(map[string]*IndexStatistics),
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basePath: basePath,
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nodeID: nodeID,
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options: options,
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}
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// Start background optimization if enabled
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if options.OptimizeInterval > 0 {
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go im.optimizationLoop()
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}
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return im, nil
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}
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// CreateIndex creates a search index for contexts
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func (im *IndexManagerImpl) CreateIndex(
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ctx context.Context,
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indexName string,
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config *IndexConfig,
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) error {
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im.mu.Lock()
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defer im.mu.Unlock()
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// Check if index already exists
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if _, exists := im.indexes[indexName]; exists {
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return fmt.Errorf("index %s already exists", indexName)
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}
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// Create index mapping
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mapping, err := im.createIndexMapping(config)
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if err != nil {
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return fmt.Errorf("failed to create index mapping: %w", err)
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}
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// Create the index
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indexPath := fmt.Sprintf("%s/%s.bleve", im.basePath, indexName)
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index, err := bleve.New(indexPath, mapping)
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if err != nil {
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return fmt.Errorf("failed to create index: %w", err)
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}
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// Store the index
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im.indexes[indexName] = index
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im.stats[indexName] = &IndexStatistics{
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Name: indexName,
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LastUpdate: time.Now(),
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LastOptimization: time.Now(),
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}
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return nil
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}
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// UpdateIndex updates search index with new data
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func (im *IndexManagerImpl) UpdateIndex(
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ctx context.Context,
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indexName string,
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key string,
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data interface{},
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) error {
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im.mu.RLock()
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index, exists := im.indexes[indexName]
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stats := im.stats[indexName]
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im.mu.RUnlock()
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if !exists {
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return fmt.Errorf("index %s does not exist", indexName)
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}
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// Create indexable document from context data
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doc, err := im.createIndexDocument(data)
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if err != nil {
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return fmt.Errorf("failed to create index document: %w", err)
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}
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// Check document size
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docSize := im.estimateDocumentSize(doc)
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if docSize > im.options.MaxDocumentSize {
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return fmt.Errorf("document too large: %d bytes exceeds limit of %d", docSize, im.options.MaxDocumentSize)
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}
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// Index the document
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start := time.Now()
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if err := index.Index(key, doc); err != nil {
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return fmt.Errorf("failed to index document: %w", err)
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}
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// Update statistics
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im.mu.Lock()
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stats.DocumentCount++
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stats.LastUpdate = time.Now()
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stats.IndexSize += docSize
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updateTime := time.Since(start)
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// Update average indexing time
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if stats.AverageQueryTime == 0 {
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stats.AverageQueryTime = updateTime
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} else {
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stats.AverageQueryTime = time.Duration(
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float64(stats.AverageQueryTime)*0.9 + float64(updateTime)*0.1,
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)
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}
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im.mu.Unlock()
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return nil
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}
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// DeleteFromIndex removes data from search index
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func (im *IndexManagerImpl) DeleteFromIndex(
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ctx context.Context,
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indexName string,
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key string,
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) error {
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im.mu.RLock()
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index, exists := im.indexes[indexName]
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stats := im.stats[indexName]
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im.mu.RUnlock()
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if !exists {
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return fmt.Errorf("index %s does not exist", indexName)
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}
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// Delete the document
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if err := index.Delete(key); err != nil {
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return fmt.Errorf("failed to delete document: %w", err)
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}
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// Update statistics
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im.mu.Lock()
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if stats.DocumentCount > 0 {
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stats.DocumentCount--
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}
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stats.LastUpdate = time.Now()
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im.mu.Unlock()
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return nil
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}
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// Search searches indexed data using query
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func (im *IndexManagerImpl) Search(
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ctx context.Context,
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indexName string,
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query *SearchQuery,
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) (*SearchResults, error) {
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start := time.Now()
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defer func() {
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im.updateSearchStats(indexName, time.Since(start))
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}()
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im.mu.RLock()
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index, exists := im.indexes[indexName]
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im.mu.RUnlock()
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if !exists {
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return nil, fmt.Errorf("index %s does not exist", indexName)
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}
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// Build search request
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searchRequest, err := im.buildSearchRequest(query)
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if err != nil {
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return nil, fmt.Errorf("failed to build search request: %w", err)
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}
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// Execute search
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searchResult, err := index.Search(searchRequest)
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if err != nil {
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return nil, fmt.Errorf("search failed: %w", err)
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}
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// Convert to our search results format
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results, err := im.convertSearchResults(searchResult, query)
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if err != nil {
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return nil, fmt.Errorf("failed to convert search results: %w", err)
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}
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return results, nil
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}
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// RebuildIndex rebuilds search index from stored data
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func (im *IndexManagerImpl) RebuildIndex(
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ctx context.Context,
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indexName string,
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) error {
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im.mu.Lock()
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defer im.mu.Unlock()
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index, exists := im.indexes[indexName]
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if !exists {
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return fmt.Errorf("index %s does not exist", indexName)
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}
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// Close current index
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if err := index.Close(); err != nil {
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return fmt.Errorf("failed to close index: %w", err)
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}
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// Delete index files
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indexPath := fmt.Sprintf("%s/%s.bleve", im.basePath, indexName)
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// Note: In production, you'd want to use proper file system operations
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// to delete the index directory
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// Recreate index with same configuration
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// This is a simplified implementation - in practice you'd need to
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// recreate with the original configuration and re-index all documents
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mapping := bleve.NewIndexMapping()
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newIndex, err := bleve.New(indexPath, mapping)
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if err != nil {
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return fmt.Errorf("failed to recreate index: %w", err)
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}
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// Replace in memory
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im.indexes[indexName] = newIndex
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im.stats[indexName].DocumentCount = 0
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im.stats[indexName].LastUpdate = time.Now()
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im.stats[indexName].LastOptimization = time.Now()
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return nil
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}
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// OptimizeIndex optimizes search index for performance
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func (im *IndexManagerImpl) OptimizeIndex(
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ctx context.Context,
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indexName string,
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) error {
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im.mu.RLock()
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index, exists := im.indexes[indexName]
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stats := im.stats[indexName]
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im.mu.RUnlock()
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if !exists {
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return fmt.Errorf("index %s does not exist", indexName)
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}
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// Bleve doesn't have explicit optimization, but we can force a merge
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// This is a no-op for Bleve, but we update stats
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im.mu.Lock()
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stats.LastOptimization = time.Now()
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stats.FragmentationRatio = im.calculateFragmentationRatio(index)
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im.mu.Unlock()
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return nil
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}
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// GetIndexStats returns index statistics
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func (im *IndexManagerImpl) GetIndexStats(
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ctx context.Context,
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indexName string,
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) (*IndexStatistics, error) {
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im.mu.RLock()
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stats, exists := im.stats[indexName]
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im.mu.RUnlock()
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if !exists {
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return nil, fmt.Errorf("index %s does not exist", indexName)
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}
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// Return a copy
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statsCopy := *stats
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return &statsCopy, nil
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}
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// ListIndexes lists all available indexes
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func (im *IndexManagerImpl) ListIndexes(ctx context.Context) ([]string, error) {
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im.mu.RLock()
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defer im.mu.RUnlock()
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var indexNames []string
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for name := range im.indexes {
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indexNames = append(indexNames, name)
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}
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sort.Strings(indexNames)
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return indexNames, nil
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}
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// Helper methods
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func (im *IndexManagerImpl) createIndexMapping(config *IndexConfig) (mapping.IndexMapping, error) {
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// Create a new index mapping
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indexMapping := bleve.NewIndexMapping()
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// Configure default analyzer
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analyzer := config.Analyzer
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if analyzer == "" {
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analyzer = im.options.DefaultAnalyzer
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}
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// Set document mapping
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docMapping := bleve.NewDocumentMapping()
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// Map context fields
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for _, field := range config.Fields {
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fieldMapping := bleve.NewTextFieldMapping()
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fieldMapping.Analyzer = analyzer
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fieldMapping.Store = true
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fieldMapping.Index = true
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if im.options.EnableHighlighting {
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fieldMapping.IncludeTermVectors = true
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}
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docMapping.AddFieldMappingsAt(field, fieldMapping)
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}
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// Add special fields for faceting if enabled
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if im.options.EnableFaceting {
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// Add tags as keyword field for faceting
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tagsMapping := bleve.NewKeywordFieldMapping()
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tagsMapping.Store = true
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tagsMapping.Index = true
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docMapping.AddFieldMappingsAt("tags_facet", tagsMapping)
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// Add technologies as keyword field for faceting
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techMapping := bleve.NewKeywordFieldMapping()
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techMapping.Store = true
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techMapping.Index = true
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docMapping.AddFieldMappingsAt("technologies_facet", techMapping)
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}
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// Set default document type
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indexMapping.DefaultMapping = docMapping
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// Configure analyzers
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if config.Language == "en" {
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indexMapping.DefaultAnalyzer = en.AnalyzerName
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} else {
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indexMapping.DefaultAnalyzer = standard.Name
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}
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return indexMapping, nil
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}
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func (im *IndexManagerImpl) createIndexDocument(data interface{}) (map[string]interface{}, error) {
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// Convert context node to indexable document
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contextNode, ok := data.(*slurpContext.ContextNode)
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if !ok {
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return nil, fmt.Errorf("unsupported data type for indexing")
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}
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doc := map[string]interface{}{
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"path": contextNode.Path,
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"ucxl_address": contextNode.UCXLAddress.String(),
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"summary": contextNode.Summary,
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"purpose": contextNode.Purpose,
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"technologies": strings.Join(contextNode.Technologies, " "),
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"tags": strings.Join(contextNode.Tags, " "),
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"insights": strings.Join(contextNode.Insights, " "),
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"overrides_parent": contextNode.OverridesParent,
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"context_specificity": contextNode.ContextSpecificity,
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"applies_to_children": contextNode.AppliesToChildren,
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"rag_confidence": contextNode.RAGConfidence,
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"generated_at": contextNode.GeneratedAt,
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}
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// Add faceting fields if enabled
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if im.options.EnableFaceting {
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doc["tags_facet"] = contextNode.Tags
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doc["technologies_facet"] = contextNode.Technologies
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}
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// Create searchable content by combining key fields
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combinedContent := fmt.Sprintf("%s %s %s %s",
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contextNode.Summary,
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contextNode.Purpose,
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strings.Join(contextNode.Technologies, " "),
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strings.Join(contextNode.Insights, " "),
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)
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doc["content"] = combinedContent
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return doc, nil
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}
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func (im *IndexManagerImpl) buildSearchRequest(query *SearchQuery) (*bleve.SearchRequest, error) {
|
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// Build Bleve search request from our search query
|
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var bleveQuery bleve.Query
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||||
|
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if query.Query == "" {
|
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// Match all query
|
||||
bleveQuery = bleve.NewMatchAllQuery()
|
||||
} else {
|
||||
// Text search query
|
||||
if query.FuzzyMatch {
|
||||
// Use fuzzy query
|
||||
bleveQuery = bleve.NewFuzzyQuery(query.Query)
|
||||
} else {
|
||||
// Use match query for better scoring
|
||||
bleveQuery = bleve.NewMatchQuery(query.Query)
|
||||
}
|
||||
}
|
||||
|
||||
// Add filters
|
||||
var conjuncts []bleve.Query
|
||||
conjuncts = append(conjuncts, bleveQuery)
|
||||
|
||||
// Technology filters
|
||||
if len(query.Technologies) > 0 {
|
||||
for _, tech := range query.Technologies {
|
||||
techQuery := bleve.NewTermQuery(tech)
|
||||
techQuery.SetField("technologies_facet")
|
||||
conjuncts = append(conjuncts, techQuery)
|
||||
}
|
||||
}
|
||||
|
||||
// Tag filters
|
||||
if len(query.Tags) > 0 {
|
||||
for _, tag := range query.Tags {
|
||||
tagQuery := bleve.NewTermQuery(tag)
|
||||
tagQuery.SetField("tags_facet")
|
||||
conjuncts = append(conjuncts, tagQuery)
|
||||
}
|
||||
}
|
||||
|
||||
// Combine all queries
|
||||
if len(conjuncts) > 1 {
|
||||
bleveQuery = bleve.NewConjunctionQuery(conjuncts...)
|
||||
}
|
||||
|
||||
// Create search request
|
||||
searchRequest := bleve.NewSearchRequest(bleveQuery)
|
||||
|
||||
// Set result options
|
||||
if query.Limit > 0 && query.Limit <= im.options.MaxResults {
|
||||
searchRequest.Size = query.Limit
|
||||
} else {
|
||||
searchRequest.Size = im.options.MaxResults
|
||||
}
|
||||
|
||||
if query.Offset > 0 {
|
||||
searchRequest.From = query.Offset
|
||||
}
|
||||
|
||||
// Enable highlighting if requested
|
||||
if query.HighlightTerms && im.options.EnableHighlighting {
|
||||
searchRequest.Highlight = bleve.NewHighlight()
|
||||
searchRequest.Highlight.AddField("content")
|
||||
searchRequest.Highlight.AddField("summary")
|
||||
searchRequest.Highlight.AddField("purpose")
|
||||
}
|
||||
|
||||
// Add facets if requested
|
||||
if len(query.Facets) > 0 && im.options.EnableFaceting {
|
||||
searchRequest.Facets = make(bleve.FacetsRequest)
|
||||
for _, facet := range query.Facets {
|
||||
switch facet {
|
||||
case "technologies":
|
||||
searchRequest.Facets["technologies"] = bleve.NewFacetRequest("technologies_facet", 10)
|
||||
case "tags":
|
||||
searchRequest.Facets["tags"] = bleve.NewFacetRequest("tags_facet", 10)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Set fields to return
|
||||
searchRequest.Fields = []string{"*"}
|
||||
|
||||
return searchRequest, nil
|
||||
}
|
||||
|
||||
func (im *IndexManagerImpl) convertSearchResults(
|
||||
searchResult *bleve.SearchResult,
|
||||
query *SearchQuery,
|
||||
) (*SearchResults, error) {
|
||||
results := &SearchResults{
|
||||
Query: query,
|
||||
Results: make([]*SearchResult, 0, len(searchResult.Hits)),
|
||||
TotalResults: int64(searchResult.Total),
|
||||
ProcessingTime: searchResult.Took,
|
||||
ProcessedAt: time.Now(),
|
||||
}
|
||||
|
||||
// Convert hits
|
||||
for i, hit := range searchResult.Hits {
|
||||
searchHit := &SearchResult{
|
||||
MatchScore: hit.Score,
|
||||
MatchedFields: make([]string, 0),
|
||||
Highlights: make(map[string][]string),
|
||||
Rank: i + 1,
|
||||
}
|
||||
|
||||
// Extract matched fields from hit
|
||||
for field := range hit.Fields {
|
||||
searchHit.MatchedFields = append(searchHit.MatchedFields, field)
|
||||
}
|
||||
|
||||
// Extract highlights
|
||||
for field, fragments := range hit.Fragments {
|
||||
searchHit.Highlights[field] = fragments
|
||||
}
|
||||
|
||||
// Create context node from hit data (simplified)
|
||||
contextNode := &slurpContext.ContextNode{
|
||||
Path: hit.Fields["path"].(string),
|
||||
Summary: hit.Fields["summary"].(string),
|
||||
Purpose: hit.Fields["purpose"].(string),
|
||||
}
|
||||
|
||||
// Parse UCXL address
|
||||
if ucxlStr, ok := hit.Fields["ucxl_address"].(string); ok {
|
||||
if addr, err := ucxl.ParseAddress(ucxlStr); err == nil {
|
||||
contextNode.UCXLAddress = addr
|
||||
}
|
||||
}
|
||||
|
||||
searchHit.Context = contextNode
|
||||
results.Results = append(results.Results, searchHit)
|
||||
}
|
||||
|
||||
// Convert facets
|
||||
if len(searchResult.Facets) > 0 {
|
||||
results.Facets = make(map[string]map[string]int)
|
||||
for facetName, facetResult := range searchResult.Facets {
|
||||
facetCounts := make(map[string]int)
|
||||
for _, term := range facetResult.Terms {
|
||||
facetCounts[term.Term] = term.Count
|
||||
}
|
||||
results.Facets[facetName] = facetCounts
|
||||
}
|
||||
}
|
||||
|
||||
return results, nil
|
||||
}
|
||||
|
||||
func (im *IndexManagerImpl) estimateDocumentSize(doc map[string]interface{}) int64 {
|
||||
// Rough estimation of document size
|
||||
docBytes, _ := json.Marshal(doc)
|
||||
return int64(len(docBytes))
|
||||
}
|
||||
|
||||
func (im *IndexManagerImpl) calculateFragmentationRatio(index bleve.Index) float64 {
|
||||
// Simplified fragmentation calculation
|
||||
// In practice, this would analyze the index structure
|
||||
return 0.1 // Placeholder: 10% fragmentation
|
||||
}
|
||||
|
||||
func (im *IndexManagerImpl) updateSearchStats(indexName string, duration time.Duration) {
|
||||
im.mu.Lock()
|
||||
defer im.mu.Unlock()
|
||||
|
||||
stats, exists := im.stats[indexName]
|
||||
if !exists {
|
||||
return
|
||||
}
|
||||
|
||||
stats.QueryCount++
|
||||
if stats.AverageQueryTime == 0 {
|
||||
stats.AverageQueryTime = duration
|
||||
} else {
|
||||
// Exponential moving average
|
||||
stats.AverageQueryTime = time.Duration(
|
||||
float64(stats.AverageQueryTime)*0.9 + float64(duration)*0.1,
|
||||
)
|
||||
}
|
||||
|
||||
// Update success rate (simplified - assumes all queries succeed)
|
||||
stats.SuccessRate = 1.0
|
||||
}
|
||||
|
||||
func (im *IndexManagerImpl) optimizationLoop() {
|
||||
ticker := time.NewTicker(im.options.OptimizeInterval)
|
||||
defer ticker.Stop()
|
||||
|
||||
for range ticker.C {
|
||||
im.performOptimization()
|
||||
}
|
||||
}
|
||||
|
||||
func (im *IndexManagerImpl) performOptimization() {
|
||||
im.mu.RLock()
|
||||
indexNames := make([]string, 0, len(im.indexes))
|
||||
for name := range im.indexes {
|
||||
indexNames = append(indexNames, name)
|
||||
}
|
||||
im.mu.RUnlock()
|
||||
|
||||
// Optimize each index
|
||||
for _, indexName := range indexNames {
|
||||
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
|
||||
if err := im.OptimizeIndex(ctx, indexName); err != nil {
|
||||
// Log error but continue with other indexes
|
||||
fmt.Printf("Failed to optimize index %s: %v\n", indexName, err)
|
||||
}
|
||||
cancel()
|
||||
}
|
||||
}
|
||||
|
||||
// Close closes all indexes and cleans up resources
|
||||
func (im *IndexManagerImpl) Close() error {
|
||||
im.mu.Lock()
|
||||
defer im.mu.Unlock()
|
||||
|
||||
for name, index := range im.indexes {
|
||||
if err := index.Close(); err != nil {
|
||||
fmt.Printf("Failed to close index %s: %v\n", name, err)
|
||||
}
|
||||
}
|
||||
|
||||
im.indexes = make(map[string]bleve.Index)
|
||||
im.stats = make(map[string]*IndexStatistics)
|
||||
|
||||
return nil
|
||||
}
|
||||
Reference in New Issue
Block a user