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voice-to-notes/src/lib/components/TranscriptEditor.svelte

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<script lang="ts">
import { segments, speakers } from '$lib/stores/transcript';
import { currentTimeMs } from '$lib/stores/playback';
import type { Segment, Word, Speaker } from '$lib/types/transcript';
interface Props {
onWordClick?: (timeMs: number) => void;
onTextEdit?: (segmentId: string, newText: string) => void;
}
let { onWordClick, onTextEdit }: Props = $props();
let transcriptContainer: HTMLDivElement;
function getSpeakerName(speakerId: string | null, speakerList: Speaker[]): string {
if (!speakerId) return 'Unknown';
const speaker = speakerList.find(s => s.id === speakerId);
return speaker?.display_name || speaker?.label || 'Unknown';
}
function getSpeakerColor(speakerId: string | null, speakerList: Speaker[]): string {
if (!speakerId) return '#888';
const speaker = speakerList.find(s => s.id === speakerId);
return speaker?.color || '#888';
}
function formatTimestamp(ms: number): string {
const totalSeconds = Math.floor(ms / 1000);
const m = Math.floor(totalSeconds / 60);
const s = totalSeconds % 60;
return `${m}:${s.toString().padStart(2, '0')}`;
}
function isWordActive(word: Word, currentMs: number): boolean {
return currentMs >= word.start_ms && currentMs <= word.end_ms;
}
function isSegmentActive(segment: Segment, currentMs: number): boolean {
return currentMs >= segment.start_ms && currentMs <= segment.end_ms;
}
function handleWordClick(word: Word) {
onWordClick?.(word.start_ms);
}
</script>
<div class="transcript-editor" bind:this={transcriptContainer}>
{#if $segments.length === 0}
<div class="empty-state">
<p>No transcript yet</p>
<p class="hint">Import an audio file and run transcription to get started</p>
</div>
{:else}
{#each $segments as segment (segment.id)}
<div
class="segment"
class:active={isSegmentActive(segment, $currentTimeMs)}
>
<div class="segment-header">
<span
class="speaker-label"
style="border-left-color: {getSpeakerColor(segment.speaker_id, $speakers)}"
>
{getSpeakerName(segment.speaker_id, $speakers)}
</span>
<span class="timestamp">{formatTimestamp(segment.start_ms)}</span>
</div>
<div class="segment-text">
{#each segment.words as word (word.id)}
<span
class="word"
class:word-active={isWordActive(word, $currentTimeMs)}
onclick={() => handleWordClick(word)}
role="button"
tabindex="0"
onkeydown={(e) => { if (e.key === 'Enter') handleWordClick(word); }}
>{word.word} </span>
{:else}
<span class="segment-plain-text">{segment.text}</span>
{/each}
</div>
</div>
{/each}
{/if}
Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
</div>
<style>
.transcript-editor {
flex: 1;
overflow-y: auto;
Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
padding: 1rem;
background: #16213e;
border-radius: 8px;
color: #e0e0e0;
}
.empty-state {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
height: 100%;
Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
color: #666;
}
.hint {
font-size: 0.875rem;
color: #555;
}
.segment {
margin-bottom: 1rem;
padding: 0.5rem;
border-radius: 4px;
transition: background-color 0.2s;
}
.segment.active {
background: rgba(233, 69, 96, 0.1);
}
.segment-header {
display: flex;
align-items: center;
gap: 0.5rem;
margin-bottom: 0.25rem;
}
.speaker-label {
font-weight: 600;
Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
font-size: 0.875rem;
border-left: 3px solid;
padding-left: 0.5rem;
}
.timestamp {
color: #666;
font-size: 0.75rem;
font-variant-numeric: tabular-nums;
}
.segment-text {
line-height: 1.6;
padding-left: 0.75rem;
}
.word {
cursor: pointer;
border-radius: 2px;
padding: 0 1px;
transition: background-color 0.15s;
}
.word:hover {
background: rgba(233, 69, 96, 0.2);
}
.word-active {
background: rgba(233, 69, 96, 0.35);
color: #fff;
}
.segment-plain-text {
color: #ccc;
Phase 1 foundation: Tauri shell, Python sidecar, SQLite database Tauri v2 + Svelte + TypeScript frontend: - App shell with workspace layout (waveform, transcript, speakers, AI chat) - Placeholder components for all major UI areas - Typed stores (project, transcript, playback, AI) - TypeScript interfaces matching the database schema - Tauri bridge service with typed invoke wrappers - svelte-check passes with 0 errors Rust backend: - Tauri v2 app entry point with command registration - SQLite database layer (rusqlite with bundled SQLite) - Full schema: projects, media_files, speakers, segments, words, ai_outputs, annotations (with indexes) - Model structs with serde serialization - CRUD queries for projects, speakers, segments, words - Segment text editing preserves original text - Schema versioning for future migrations - 6 tests passing - Command stubs for project, transcribe, export, AI, settings, system - App state management Python sidecar: - JSON-line IPC protocol (stdin/stdout) - Message types: IPCMessage, progress, error, ready - Handler registry with routing and error handling - Ping/pong handler for connectivity testing - Service stubs: transcribe, diarize, pipeline, AI, export - Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM - Hardware detection stubs - 14 tests passing, ruff clean Also adds: - Testing strategy document (docs/TESTING.md) - Validation script (scripts/validate.sh) - Updated .gitignore for Svelte, Rust, Python artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
}
</style>