Add token-bounded transcript chunking

This commit is contained in:
2026-05-11 12:23:01 +00:00
parent 10377876e4
commit 12fd541669
4 changed files with 1073 additions and 0 deletions

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@@ -0,0 +1,376 @@
package chunking
import (
"fmt"
"gitea.maximumdirect.net/eric/audita/internal/core/schema"
)
// Section represents a contiguous chunk of transcript segments with metadata.
type Section struct {
// Index is the 0-based section index within the chunked transcript
Index int `json:"section_index"`
// StartSegmentID is the ID of the first segment in this section
StartSegmentID int `json:"start_segment_id"`
// EndSegmentID is the ID of the last segment in this section
EndSegmentID int `json:"end_segment_id"`
// EstimatedTokens is the approximate token count for this section
EstimatedTokens int `json:"estimated_tokens"`
// Segments contains the segments in this section, in order
Segments []schema.Segment `json:"segments"`
}
// ChunkingConfig holds configuration for transcript chunking.
type ChunkingConfig struct {
// MaxSectionTokens is the maximum allowed tokens per section
MaxSectionTokens int
// MinSectionTokens is the minimum desired tokens per section (for balancing)
MinSectionTokens int
// TargetSections is an optional target number of sections
// If nil, chunking will optimize for max token bounds only
TargetSections *int
}
// Chunker performs deterministic chunking of normalized transcript segments.
type Chunker struct {
config ChunkingConfig
estimator TokenEstimator
}
// NewChunker creates a new chunker with the given configuration.
func NewChunker(config ChunkingConfig) *Chunker {
return &Chunker{
config: config,
estimator: NewSimpleTokenEstimator(),
}
}
// NewChunkerWithEstimator creates a new chunker with a custom estimator.
func NewChunkerWithEstimator(config ChunkingConfig, estimator TokenEstimator) *Chunker {
return &Chunker{
config: config,
estimator: estimator,
}
}
// ChunkTranscript divides a normalized transcript into contiguous token-bounded sections.
// Returns an error if the target section count is impossible under the constraints.
// The input transcript is never mutated.
func (c *Chunker) ChunkTranscript(transcript *schema.Transcript) ([]Section, error) {
if transcript == nil || len(transcript.Segments) == 0 {
return []Section{}, nil
}
// Validate configuration
if c.config.MaxSectionTokens <= 0 {
return nil, fmt.Errorf("max_section_tokens must be positive, got %d", c.config.MaxSectionTokens)
}
if c.config.MinSectionTokens < 0 {
return nil, fmt.Errorf("min_section_tokens must be non-negative, got %d", c.config.MinSectionTokens)
}
if c.config.MinSectionTokens > c.config.MaxSectionTokens {
return nil, fmt.Errorf("min_section_tokens (%d) cannot exceed max_section_tokens (%d)",
c.config.MinSectionTokens, c.config.MaxSectionTokens)
}
// Calculate token counts for each segment (deterministic)
segmentTokens := make([]int, len(transcript.Segments))
for i, seg := range transcript.Segments {
segmentTokens[i] = c.estimator.EstimateTokens(seg.Text)
}
// If target sections specified, use target-aware chunking
if c.config.TargetSections != nil {
target := *c.config.TargetSections
if target <= 0 {
return nil, fmt.Errorf("target_sections must be positive, got %d", target)
}
// Validate target is achievable
if err := c.validateTargetSections(target, segmentTokens); err != nil {
return nil, err
}
// Use target-aware chunking strategy
return c.chunkWithTarget(transcript.Segments, segmentTokens, target)
}
// No target: just respect max token bounds
return c.createSectionsUnderMax(transcript.Segments, segmentTokens)
}
// validateTargetSections checks if the target section count is achievable.
func (c *Chunker) validateTargetSections(target int, segmentTokens []int) error {
// Maximum possible sections: limited by segment count
maxPossibleSections := len(segmentTokens)
if target > maxPossibleSections {
return fmt.Errorf(
"target_sections (%d) is impossible: cannot have more sections than segments (%d)",
target, maxPossibleSections)
}
// Minimum possible sections: each segment must fit within max bounds
minPossibleSections := c.calculateMinPossibleSections(segmentTokens)
if target < minPossibleSections {
return fmt.Errorf(
"target_sections (%d) is impossible: need at least %d sections to respect max_section_tokens (%d)",
target, minPossibleSections, c.config.MaxSectionTokens)
}
return nil
}
// chunkWithTarget creates sections aiming for a specific target count.
func (c *Chunker) chunkWithTarget(segments []schema.Segment, segmentTokens []int, target int) ([]Section, error) {
// Strategy:
// 1. First, create sections respecting max bounds (greedy packing)
// 2. If we have more sections than target, try to merge adjacent sections
// 3. If we have fewer sections than target, split sections where possible
// Step 1: Create initial sections respecting max bounds
sections, err := c.createSectionsUnderMax(segments, segmentTokens)
if err != nil {
return nil, err
}
// Step 2: Adjust to reach target
if len(sections) > target {
// Need to merge sections
sections = c.mergeSectionsToTarget(sections, target)
} else if len(sections) < target {
// Need to split sections - split the largest sections first
sections = c.splitSectionsToTarget(sections, target, segmentTokens)
}
// Verify we achieved the target
if len(sections) != target {
return nil, fmt.Errorf(
"target_sections (%d) is impossible under current constraints (got %d sections)",
target, len(sections))
}
// Reindex sections
for i := range sections {
sections[i].Index = i
}
return sections, nil
}
// mergeSectionsToTarget merges adjacent sections to reduce count to target.
func (c *Chunker) mergeSectionsToTarget(sections []Section, target int) []Section {
for len(sections) > target {
// Find the best pair to merge (smallest combined section that stays under max)
bestIdx := -1
bestTokens := -1
for i := 0; i < len(sections)-1; i++ {
combinedTokens := sections[i].EstimatedTokens + sections[i+1].EstimatedTokens
// Can only merge if combined is under max
if combinedTokens <= c.config.MaxSectionTokens {
// Prefer smaller combined sections to keep sections balanced
if bestIdx == -1 || combinedTokens < bestTokens {
bestIdx = i
bestTokens = combinedTokens
}
}
}
// No valid merge found
if bestIdx == -1 {
break
}
// Merge sections[bestIdx] and sections[bestIdx+1]
merged := c.mergeTwoSections(sections[bestIdx], sections[bestIdx+1])
// Replace the two sections with the merged one
newSections := make([]Section, 0, len(sections)-1)
newSections = append(newSections, sections[:bestIdx]...)
newSections = append(newSections, merged)
if bestIdx+2 < len(sections) {
newSections = append(newSections, sections[bestIdx+2:]...)
}
sections = newSections
}
return sections
}
// splitSectionsToTarget splits sections to increase count to target.
func (c *Chunker) splitSectionsToTarget(sections []Section, target int, segmentTokens []int) []Section {
// We can only split sections that have multiple segments
// Split the largest sections first
for len(sections) < target {
// Find the best section to split (largest section with multiple segments)
bestIdx := -1
bestTokenCount := -1
for i, sec := range sections {
if len(sec.Segments) > 1 {
if sec.EstimatedTokens > bestTokenCount {
bestIdx = i
bestTokenCount = sec.EstimatedTokens
}
}
}
// No splittable section found
if bestIdx == -1 {
break
}
// Split the section into two
sec := sections[bestIdx]
splitPoint := len(sec.Segments) / 2
// Ensure each half has at least one segment
if splitPoint < 1 || splitPoint >= len(sec.Segments) {
break
}
// Calculate token counts for each half
leftTokens := 0
for i := 0; i < splitPoint; i++ {
leftTokens += c.estimator.EstimateTokens(sec.Segments[i].Text)
}
rightTokens := sec.EstimatedTokens - leftTokens
// Create two new sections
leftSection := Section{
StartSegmentID: sec.Segments[0].ID,
EndSegmentID: sec.Segments[splitPoint-1].ID,
EstimatedTokens: leftTokens,
Segments: sec.Segments[:splitPoint],
}
rightSection := Section{
StartSegmentID: sec.Segments[splitPoint].ID,
EndSegmentID: sec.Segments[len(sec.Segments)-1].ID,
EstimatedTokens: rightTokens,
Segments: sec.Segments[splitPoint:],
}
// Replace old section with two new ones
newSections := make([]Section, 0, len(sections)+1)
newSections = append(newSections, sections[:bestIdx]...)
newSections = append(newSections, leftSection, rightSection)
if bestIdx+1 < len(sections) {
newSections = append(newSections, sections[bestIdx+1:]...)
}
sections = newSections
}
return sections
}
// createSectionsUnderMax creates initial sections respecting max token bounds.
func (c *Chunker) createSectionsUnderMax(segments []schema.Segment, segmentTokens []int) ([]Section, error) {
var sections []Section
var currentSegments []schema.Segment
currentTokens := 0
for i, seg := range segments {
tokens := segmentTokens[i]
// If a single segment exceeds max tokens, it must be its own section
if tokens > c.config.MaxSectionTokens {
// Flush current section if any
if len(currentSegments) > 0 {
sections = append(sections, c.buildSection(len(sections), currentSegments, currentTokens))
currentSegments = nil
currentTokens = 0
}
// Add the oversized segment as its own section
sections = append(sections, c.buildSection(len(sections), []schema.Segment{seg}, tokens))
continue
}
// Check if adding this segment would exceed max
if currentTokens+tokens > c.config.MaxSectionTokens && len(currentSegments) > 0 {
// Finish current section
sections = append(sections, c.buildSection(len(sections), currentSegments, currentTokens))
currentSegments = []schema.Segment{seg}
currentTokens = tokens
} else {
// Add to current section
currentSegments = append(currentSegments, seg)
currentTokens += tokens
}
}
// Don't forget the last section
if len(currentSegments) > 0 {
sections = append(sections, c.buildSection(len(sections), currentSegments, currentTokens))
}
return sections, nil
}
// buildSection creates a Section from segments.
func (c *Chunker) buildSection(index int, segments []schema.Segment, tokens int) Section {
return Section{
Index: index,
StartSegmentID: segments[0].ID,
EndSegmentID: segments[len(segments)-1].ID,
EstimatedTokens: tokens,
Segments: segments,
}
}
// calculateMinPossibleSections calculates the minimum number of sections needed
// to ensure no section exceeds max tokens.
func (c *Chunker) calculateMinPossibleSections(segmentTokens []int) int {
sections := 0
currentTokens := 0
for _, tokens := range segmentTokens {
if tokens > c.config.MaxSectionTokens {
// Each oversized segment needs its own section
if currentTokens > 0 {
sections++
currentTokens = 0
}
sections++
} else if currentTokens+tokens > c.config.MaxSectionTokens {
sections++
currentTokens = tokens
} else {
currentTokens += tokens
}
}
if currentTokens > 0 {
sections++
}
return sections
}
// mergeTwoSections combines two adjacent sections.
func (c *Chunker) mergeTwoSections(a, b Section) Section {
mergedSegments := make([]schema.Segment, 0, len(a.Segments)+len(b.Segments))
mergedSegments = append(mergedSegments, a.Segments...)
mergedSegments = append(mergedSegments, b.Segments...)
return Section{
Index: a.Index, // Will be reassigned
StartSegmentID: a.StartSegmentID,
EndSegmentID: b.EndSegmentID,
EstimatedTokens: a.EstimatedTokens + b.EstimatedTokens,
Segments: mergedSegments,
}
}

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package chunking
import (
"strings"
"testing"
"gitea.maximumdirect.net/eric/audita/internal/core/schema"
)
// Helper to create segments with sequential IDs
func makeSegments(texts []string) []schema.Segment {
segments := make([]schema.Segment, len(texts))
for i, text := range texts {
segments[i] = schema.Segment{
ID: i + 1,
Speaker: "DM",
Start: float64(i * 10),
End: float64(i*10 + 5),
Text: text,
}
}
return segments
}
// Helper to create a transcript
func makeTranscript(segments []schema.Segment) *schema.Transcript {
return &schema.Transcript{Segments: segments}
}
func TestChunkEmptyTranscript(t *testing.T) {
config := ChunkingConfig{
MaxSectionTokens: 100,
MinSectionTokens: 10,
}
chunker := NewChunker(config)
// Test nil transcript
sections, err := chunker.ChunkTranscript(nil)
if err != nil {
t.Fatalf("ChunkTranscript(nil) error: %v", err)
}
if len(sections) != 0 {
t.Errorf("expected 0 sections for nil transcript, got %d", len(sections))
}
// Test empty segments
emptyTranscript := makeTranscript([]schema.Segment{})
sections, err = chunker.ChunkTranscript(emptyTranscript)
if err != nil {
t.Fatalf("ChunkTranscript(empty) error: %v", err)
}
if len(sections) != 0 {
t.Errorf("expected 0 sections for empty transcript, got %d", len(sections))
}
}
func TestChunkSingleSmallSection(t *testing.T) {
config := ChunkingConfig{
MaxSectionTokens: 100,
MinSectionTokens: 10,
}
chunker := NewChunker(config)
segments := makeSegments([]string{
"Hello world",
"This is a test",
})
transcript := makeTranscript(segments)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
if len(sections) != 1 {
t.Fatalf("expected 1 section, got %d", len(sections))
}
sec := sections[0]
if sec.Index != 0 {
t.Errorf("expected index 0, got %d", sec.Index)
}
if sec.StartSegmentID != 1 {
t.Errorf("expected start segment ID 1, got %d", sec.StartSegmentID)
}
if sec.EndSegmentID != 2 {
t.Errorf("expected end segment ID 2, got %d", sec.EndSegmentID)
}
if len(sec.Segments) != 2 {
t.Errorf("expected 2 segments, got %d", len(sec.Segments))
}
}
func TestChunkMultipleSectionsDueToMaxTokens(t *testing.T) {
// Use constant estimator for predictable testing
estimator := &ConstTokenEstimator{Tokens: 30}
config := ChunkingConfig{
MaxSectionTokens: 50, // Each section can hold at most 1 segment (30 tokens each)
MinSectionTokens: 10,
}
chunker := NewChunkerWithEstimator(config, estimator)
segments := makeSegments([]string{
"Segment one",
"Segment two",
"Segment three",
})
transcript := makeTranscript(segments)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
// Should have 3 sections since each segment is 30 tokens and max is 50
if len(sections) != 3 {
t.Fatalf("expected 3 sections, got %d", len(sections))
}
// Verify section contents
for i, sec := range sections {
if sec.Index != i {
t.Errorf("section %d: expected index %d, got %d", i, i, sec.Index)
}
if len(sec.Segments) != 1 {
t.Errorf("section %d: expected 1 segment, got %d", i, len(sec.Segments))
}
if sec.StartSegmentID != i+1 {
t.Errorf("section %d: expected start segment ID %d, got %d", i, i+1, sec.StartSegmentID)
}
if sec.EndSegmentID != i+1 {
t.Errorf("section %d: expected end segment ID %d, got %d", i, i+1, sec.EndSegmentID)
}
}
}
func TestChunkPreservesSegmentOrder(t *testing.T) {
// Use constant estimator
estimator := &ConstTokenEstimator{Tokens: 10}
config := ChunkingConfig{
MaxSectionTokens: 25, // Can fit 2 segments (20 tokens) but not 3
MinSectionTokens: 5,
}
chunker := NewChunkerWithEstimator(config, estimator)
// Create segments with identifiable text
segments := makeSegments([]string{
"First segment",
"Second segment",
"Third segment",
"Fourth segment",
"Fifth segment",
})
transcript := makeTranscript(segments)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
// Collect all segments in order
var allSegments []schema.Segment
for _, sec := range sections {
allSegments = append(allSegments, sec.Segments...)
}
// Verify order is preserved
if len(allSegments) != 5 {
t.Fatalf("expected 5 total segments, got %d", len(allSegments))
}
expectedTexts := []string{
"First segment",
"Second segment",
"Third segment",
"Fourth segment",
"Fifth segment",
}
for i, seg := range allSegments {
if seg.Text != expectedTexts[i] {
t.Errorf("segment %d: expected text %q, got %q", i, expectedTexts[i], seg.Text)
}
if seg.ID != i+1 {
t.Errorf("segment %d: expected ID %d, got %d", i, i+1, seg.ID)
}
}
}
func TestChunkNoMutationOfInput(t *testing.T) {
config := ChunkingConfig{
MaxSectionTokens: 50,
MinSectionTokens: 10,
}
chunker := NewChunker(config)
originalSegments := makeSegments([]string{
"Original text one",
"Original text two",
})
transcript := makeTranscript(originalSegments)
// Store original state
originalTexts := make([]string, len(originalSegments))
for i, seg := range transcript.Segments {
originalTexts[i] = seg.Text
}
// Chunk the transcript
_, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
// Verify original transcript is unchanged
for i, seg := range transcript.Segments {
if seg.Text != originalTexts[i] {
t.Errorf("segment %d was mutated: expected %q, got %q", i, originalTexts[i], seg.Text)
}
}
}
func TestChunkTargetSectionsSuccess(t *testing.T) {
// Use constant estimator for predictable testing
estimator := &ConstTokenEstimator{Tokens: 10}
targetSections := 3
config := ChunkingConfig{
MaxSectionTokens: 50, // Can fit up to 5 segments per section
MinSectionTokens: 5,
TargetSections: &targetSections,
}
chunker := NewChunkerWithEstimator(config, estimator)
segments := makeSegments([]string{
"One", "Two", "Three", "Four", "Five",
"Six", "Seven", "Eight", "Nine", "Ten",
})
transcript := makeTranscript(segments)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
if len(sections) != targetSections {
t.Fatalf("expected %d sections, got %d", targetSections, len(sections))
}
// Verify all segments are included
totalSegments := 0
for _, sec := range sections {
totalSegments += len(sec.Segments)
}
if totalSegments != 10 {
t.Errorf("expected 10 total segments, got %d", totalSegments)
}
}
func TestChunkTargetSectionsImpossibleTooFew(t *testing.T) {
estimator := &ConstTokenEstimator{Tokens: 30}
targetSections := 1 // Impossible: need at least 3 sections for 3 segments at 30 tokens each with max 50
config := ChunkingConfig{
MaxSectionTokens: 50,
MinSectionTokens: 10,
TargetSections: &targetSections,
}
chunker := NewChunkerWithEstimator(config, estimator)
segments := makeSegments([]string{
"Segment one",
"Segment two",
"Segment three",
})
transcript := makeTranscript(segments)
_, err := chunker.ChunkTranscript(transcript)
if err == nil {
t.Fatal("expected error for impossible target_sections, got nil")
}
expectedMsg := "target_sections (1) is impossible: need at least 3 sections"
if !strings.Contains(err.Error(), expectedMsg) {
t.Errorf("expected error containing %q, got %q", expectedMsg, err.Error())
}
}
func TestChunkTargetSectionsImpossibleTooMany(t *testing.T) {
targetSections := 10 // Impossible: cannot have more sections than segments (5)
config := ChunkingConfig{
MaxSectionTokens: 100,
MinSectionTokens: 10,
TargetSections: &targetSections,
}
chunker := NewChunker(config)
segments := makeSegments([]string{
"One", "Two", "Three", "Four", "Five",
})
transcript := makeTranscript(segments)
_, err := chunker.ChunkTranscript(transcript)
if err == nil {
t.Fatal("expected error for impossible target_sections, got nil")
}
expectedMsg := "target_sections (10) is impossible: cannot have more sections than segments"
if !strings.Contains(err.Error(), expectedMsg) {
t.Errorf("expected error containing %q, got %q", expectedMsg, err.Error())
}
}
func TestChunkMinTokenBalancing(t *testing.T) {
// Create segments with varying sizes
texts := []string{
"Short",
"Also short",
"This one is a bit longer",
"Tiny",
"Another medium length segment here",
}
segments := makeSegments(texts)
transcript := makeTranscript(segments)
config := ChunkingConfig{
MaxSectionTokens: 50,
MinSectionTokens: 15, // Try to keep sections above this
}
chunker := NewChunker(config)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
// Verify all segments are included
totalSegments := 0
for _, sec := range sections {
totalSegments += len(sec.Segments)
}
if totalSegments != 5 {
t.Errorf("expected 5 total segments, got %d", totalSegments)
}
}
func TestChunkWithOversizedSegment(t *testing.T) {
// Create an estimator that returns a very large value for one specific text
segments := makeSegments([]string{
"Small",
strings.Repeat("very large ", 100), // This will have many tokens
"Also small",
})
transcript := makeTranscript(segments)
config := ChunkingConfig{
MaxSectionTokens: 50,
MinSectionTokens: 5,
}
chunker := NewChunker(config)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
// The oversized segment should be in its own section
foundLargeInOwnSection := false
for _, sec := range sections {
if len(sec.Segments) == 1 && strings.HasPrefix(sec.Segments[0].Text, "very large") {
foundLargeInOwnSection = true
break
}
}
if !foundLargeInOwnSection {
t.Error("expected oversized segment to be in its own section")
}
}
func TestChunkConfigValidation(t *testing.T) {
tests := []struct {
name string
config ChunkingConfig
wantErr bool
errContains string
}{
{
name: "zero max tokens",
config: ChunkingConfig{
MaxSectionTokens: 0,
MinSectionTokens: 10,
},
wantErr: true,
errContains: "max_section_tokens must be positive",
},
{
name: "negative max tokens",
config: ChunkingConfig{
MaxSectionTokens: -1,
MinSectionTokens: 10,
},
wantErr: true,
errContains: "max_section_tokens must be positive",
},
{
name: "negative min tokens",
config: ChunkingConfig{
MaxSectionTokens: 100,
MinSectionTokens: -1,
},
wantErr: true,
errContains: "min_section_tokens must be non-negative",
},
{
name: "min exceeds max",
config: ChunkingConfig{
MaxSectionTokens: 50,
MinSectionTokens: 100,
},
wantErr: true,
errContains: "min_section_tokens (100) cannot exceed max_section_tokens (50)",
},
{
name: "zero target sections",
config: ChunkingConfig{
MaxSectionTokens: 100,
MinSectionTokens: 10,
TargetSections: intPtr(0),
},
wantErr: true,
errContains: "target_sections must be positive",
},
{
name: "negative target sections",
config: ChunkingConfig{
MaxSectionTokens: 100,
MinSectionTokens: 10,
TargetSections: intPtr(-1),
},
wantErr: true,
errContains: "target_sections must be positive",
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
chunker := NewChunker(tt.config)
transcript := makeTranscript(makeSegments([]string{"test"}))
_, err := chunker.ChunkTranscript(transcript)
if tt.wantErr {
if err == nil {
t.Errorf("expected error containing %q, got nil", tt.errContains)
} else if !strings.Contains(err.Error(), tt.errContains) {
t.Errorf("expected error containing %q, got %q", tt.errContains, err.Error())
}
} else {
if err != nil {
t.Errorf("unexpected error: %v", err)
}
}
})
}
}
func TestChunkDeterministicOrdering(t *testing.T) {
segments := makeSegments([]string{
"First",
"Second",
"Third",
"Fourth",
"Fifth",
})
transcript := makeTranscript(segments)
config := ChunkingConfig{
MaxSectionTokens: 30,
MinSectionTokens: 10,
}
// Run chunking multiple times and verify deterministic results
var firstResult []Section
for i := 0; i < 5; i++ {
chunker := NewChunker(config)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error at iteration %d: %v", i, err)
}
if i == 0 {
firstResult = sections
} else {
// Compare with first result
if len(sections) != len(firstResult) {
t.Errorf("iteration %d: section count mismatch: got %d, want %d", i, len(sections), len(firstResult))
continue
}
for j, sec := range sections {
if sec.Index != firstResult[j].Index {
t.Errorf("iteration %d, section %d: index mismatch", i, j)
}
if sec.StartSegmentID != firstResult[j].StartSegmentID {
t.Errorf("iteration %d, section %d: start_segment_id mismatch", i, j)
}
if sec.EndSegmentID != firstResult[j].EndSegmentID {
t.Errorf("iteration %d, section %d: end_segment_id mismatch", i, j)
}
if sec.EstimatedTokens != firstResult[j].EstimatedTokens {
t.Errorf("iteration %d, section %d: estimated_tokens mismatch", i, j)
}
if len(sec.Segments) != len(firstResult[j].Segments) {
t.Errorf("iteration %d, section %d: segment count mismatch", i, j)
}
}
}
}
}
func TestSectionMetadata(t *testing.T) {
estimator := &ConstTokenEstimator{Tokens: 5}
config := ChunkingConfig{
MaxSectionTokens: 15, // Can fit 3 segments of 5 tokens each
MinSectionTokens: 5,
}
chunker := NewChunkerWithEstimator(config, estimator)
segments := makeSegments([]string{
"One", "Two", "Three", "Four", "Five",
})
transcript := makeTranscript(segments)
sections, err := chunker.ChunkTranscript(transcript)
if err != nil {
t.Fatalf("ChunkTranscript error: %v", err)
}
// Should have 2 sections: [1,2,3] and [4,5]
if len(sections) != 2 {
t.Fatalf("expected 2 sections, got %d", len(sections))
}
// First section
if sections[0].Index != 0 {
t.Errorf("section 0: expected index 0, got %d", sections[0].Index)
}
if sections[0].StartSegmentID != 1 {
t.Errorf("section 0: expected start segment ID 1, got %d", sections[0].StartSegmentID)
}
if sections[0].EndSegmentID != 3 {
t.Errorf("section 0: expected end segment ID 3, got %d", sections[0].EndSegmentID)
}
if sections[0].EstimatedTokens != 15 {
t.Errorf("section 0: expected 15 tokens, got %d", sections[0].EstimatedTokens)
}
if len(sections[0].Segments) != 3 {
t.Errorf("section 0: expected 3 segments, got %d", len(sections[0].Segments))
}
// Second section
if sections[1].Index != 1 {
t.Errorf("section 1: expected index 1, got %d", sections[1].Index)
}
if sections[1].StartSegmentID != 4 {
t.Errorf("section 1: expected start segment ID 4, got %d", sections[1].StartSegmentID)
}
if sections[1].EndSegmentID != 5 {
t.Errorf("section 1: expected end segment ID 5, got %d", sections[1].EndSegmentID)
}
if sections[1].EstimatedTokens != 10 {
t.Errorf("section 1: expected 10 tokens, got %d", sections[1].EstimatedTokens)
}
if len(sections[1].Segments) != 2 {
t.Errorf("section 1: expected 2 segments, got %d", len(sections[1].Segments))
}
}
func intPtr(i int) *int {
return &i
}

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@@ -0,0 +1,55 @@
package chunking
import (
"strings"
"unicode"
)
// TokenEstimator provides a deterministic token estimation suitable for prompt budgeting.
// The estimator is approximate but stable, isolated, and replaceable.
type TokenEstimator interface {
EstimateTokens(text string) int
}
// SimpleTokenEstimator provides a basic deterministic token estimation.
// This uses a simple heuristic based on word count and punctuation.
type SimpleTokenEstimator struct{}
// NewSimpleTokenEstimator creates a new simple token estimator.
func NewSimpleTokenEstimator() *SimpleTokenEstimator {
return &SimpleTokenEstimator{}
}
// EstimateTokens provides a rough estimate of the number of tokens in the given text.
// This implementation uses a simple heuristic: count words and punctuation as tokens.
// The estimate is deterministic and stable for the same input text.
func (e *SimpleTokenEstimator) EstimateTokens(text string) int {
if text == "" {
return 0
}
// Simple heuristic: split on whitespace and count non-empty segments
words := strings.Fields(text)
tokenCount := len(words)
// Add some estimate for punctuation that might be separate tokens
punctuationCount := 0
for _, r := range text {
if unicode.IsPunct(r) && r != '\'' && r != '-' && r != '_' {
punctuationCount++
}
}
// Rough estimate: each word is a token, plus half the punctuation as separate tokens
return tokenCount + (punctuationCount / 2)
}
// ConstTokenEstimator returns a constant token count for testing purposes.
type ConstTokenEstimator struct {
Tokens int
}
// EstimateTokens returns the configured constant token count.
func (e *ConstTokenEstimator) EstimateTokens(text string) int {
return e.Tokens
}

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@@ -0,0 +1,59 @@
package chunking
import (
"testing"
)
func TestSimpleTokenEstimator(t *testing.T) {
estimator := NewSimpleTokenEstimator()
tests := []struct {
name string
text string
expected int
}{
{"empty string", "", 0},
{"single word", "hello", 1},
{"two words", "hello world", 2},
{"with punctuation", "hello, world!", 3}, // 2 words + 2 punctuation/2 = 3
{"multiple sentences", "Hello world. This is a test.", 7}, // 7 words + 2 punctuation/2 = 8? Actually "Hello world." has 3 punctuation
{"with apostrophes", "don't won't can't", 3},
{"with hyphens", "well-known state-of-the-art", 2}, // hyphens don't count
{"unicode text", "café naïve", 2},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := estimator.EstimateTokens(tt.text)
if got != tt.expected {
t.Errorf("EstimateTokens(%q) = %d, want %d", tt.text, got, tt.expected)
}
})
}
}
func TestConstTokenEstimator(t *testing.T) {
estimator := &ConstTokenEstimator{Tokens: 42}
if got := estimator.EstimateTokens("any text"); got != 42 {
t.Errorf("ConstTokenEstimator.EstimateTokens = %d, want 42", got)
}
if got := estimator.EstimateTokens(""); got != 42 {
t.Errorf("ConstTokenEstimator.EstimateTokens(empty) = %d, want 42", got)
}
}
func TestTokenEstimatorDeterminism(t *testing.T) {
estimator := NewSimpleTokenEstimator()
text := "The quick brown fox jumps over the lazy dog. Hello, world!"
// Run multiple times and verify same result
first := estimator.EstimateTokens(text)
for i := 0; i < 10; i++ {
got := estimator.EstimateTokens(text)
if got != first {
t.Errorf("EstimateTokens not deterministic: iteration %d got %d, first was %d", i, got, first)
}
}
}