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4 Commits

Author SHA1 Message Date
4d10d75003 fix(cis): fix JSX syntax errors and import paths for Phase 3 build
- Fix broken template literal in transcriptionStore.ts export function
- Fix broken regex in Content-Disposition parser
- Fix broken character class in filename sanitization
- Fix LLMConfigModal import path (5 levels up, not 6)
- Export button JSX properly nested in CCTranscriptionPanel
- Build now passes cleanly
2026-05-21 06:35:09 +00:00
cb8c2dab74 feat(cis): add LLM config modal, summary generation, keywords tab, and export button (Phase 3)
- LLMConfigModal: provider dropdown, model field, API key input (localStorage only)
- Summary generation: modal with 5 summary types, calls API, displays result
- Keywords tab: add/delete watches, real-time detection, event logging
- Export button: SRT/TXT/JSON download via API endpoint
- All Phase 3 frontend tasks complete
2026-05-20 22:57:06 +00:00
6bbed42f55 feat(cis): add Supabase integration, canvas event logger, and sessions tab (Phase 2)
- Connect transcriptionStore to Supabase (start/stop session, save segments)
- Add CanvasEventLogger for silent TLDraw activity tracking
- Add Sessions tab to CCTranscriptionPanel with past sessions list
- Auto-detect timetable context on panel mount
- Flush canvas events to API every 5 seconds during recording
2026-05-20 22:06:31 +00:00
2ee4e4afe7 feat(cis): add CCTranscriptionPanel Live tab to sidebar (Phase 1)
- Add CCTranscriptionPanel component with Live tab
- Add Zustand transcriptionStore for session state management
- Wire panel into BasePanel sidebar system
- Fix merged switch cases in getIconForPanel, getDescriptionForPanel, renderCurrentPanel
- Add VITE_WHISPERLIVE_URL to .env
2026-05-20 21:34:21 +00:00
5 changed files with 1489 additions and 1 deletions

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@ -0,0 +1,408 @@
import { create } from 'zustand';
import { supabase } from '../supabaseClient';
export interface TranscriptionSegment {
text: string;
isFinal: boolean;
start: number;
end: number;
}
export interface TranscriptionSession {
id: string;
user_id: string;
title: string | null;
started_at: string;
ended_at: string | null;
duration_seconds: number | null;
timetable_period_id: string | null;
timetable_event_type: string | null;
timetable_event_label: string | null;
auto_tagged: boolean;
word_count: number;
segment_count: number;
}
export interface TimetablePeriod {
period_id: string | null;
event_type: string | null;
event_label: string | null;
start_time: string | null;
end_time: string | null;
}
export interface LLMConfig {
provider: 'openai' | 'anthropic' | 'ollama' | 'openrouter' | 'google';
model: string;
apiKey: string;
}
export type ExportFormat = 'srt' | 'txt' | 'json';
const LLM_CONFIG_STORAGE_KEY = 'cc_llm_config';
function loadLLMConfig(): LLMConfig {
try {
const stored = localStorage.getItem(LLM_CONFIG_STORAGE_KEY);
if (stored) {
return JSON.parse(stored);
}
} catch (e) {
console.error('Failed to load LLM config from localStorage:', e);
}
return {
provider: 'openai',
model: '',
apiKey: '',
};
}
function saveLLMConfig(config: LLMConfig): void {
try {
localStorage.setItem(LLM_CONFIG_STORAGE_KEY, JSON.stringify(config));
} catch (e) {
console.error('Failed to save LLM Config to localStorage:', e);
}
}
interface TranscriptionState {
// Session state
isRecording: boolean;
isConnecting: boolean;
activeSession: TranscriptionSession | null;
// Live feed
completedSegments: TranscriptionSegment[];
currentSegment: TranscriptionSegment | null;
// Canvas event buffer (flushed to API every 5s)
pendingCanvasEvents: any[];
// Timetable context
timetableContext: TimetablePeriod | null;
// UI state
wordCount: number;
elapsedSeconds: number;
// LLM config (stored in localStorage only)
llmConfig: LLMConfig;
// Summary state
summaryText: string | null;
isGeneratingSummary: boolean;
summaryError: string | null;
// Export state
isExporting: boolean;
exportError: string | null;
// Actions
startSession: (timetableTag?: TimetablePeriod) => Promise<void>;
stopSession: () => Promise<void>;
saveSegment: (text: string, isFinal: boolean, metadata: { start: number; end: number }) => Promise<void>;
resetSession: () => void;
tickElapsed: () => void;
addCanvasEvent: (event: any) => void;
flushCanvasEvents: () => Promise<void>;
loadSessions: () => Promise<TranscriptionSession[]>;
setTimetableContext: (context: TimetablePeriod | null) => void;
// LLM config actions
setLLMConfig: (config: Partial<LLMConfig>) => void;
getLLMConfig: () => LLMConfig;
// Summary actions
setSummaryText: (text: string | null) => void;
setIsGeneratingSummary: (generating: boolean) => void;
setSummaryError: (error: string | null) => void;
// Export actions
exportSession: (sessionId: string, format: ExportFormat) => Promise<void>;
setExportError: (error: string | null) => void;
}
export const useTranscriptionStore = create<TranscriptionState>((set, get) => ({
isRecording: false,
isConnecting: false,
activeSession: null,
completedSegments: [],
currentSegment: null,
pendingCanvasEvents: [],
timetableContext: null,
wordCount: 0,
elapsedSeconds: 0,
// LLM config initialized from localStorage
llmConfig: loadLLMConfig(),
// Summary state
summaryText: null,
isGeneratingSummary: false,
summaryError: null,
// Export state
isExporting: false,
exportError: null,
setTimetableContext: (context) => {
set({ timetableContext: context });
},
startSession: async (timetableTag?: TimetablePeriod) => {
set({ isRecording: true, isConnecting: false, elapsedSeconds: 0, timetableContext: timetableTag || null });
// Create session in Supabase
try {
const user = await supabase.auth.getUser();
if (!user.data.user) {
console.error('No authenticated user');
return;
}
const sessionData = {
user_id: user.data.user.id,
title: timetableTag?.event_label || 'Untitled Session',
canvas_type: 'teaching-canvas',
timetable_period_id: timetableTag?.period_id || null,
timetable_event_type: timetableTag?.event_type || null,
timetable_event_label: timetableTag?.event_label || null,
auto_tagged: !!timetableTag,
};
const { data, error } = await supabase
.from('transcription_sessions')
.insert(sessionData)
.select()
.single();
if (error) {
console.error('Failed to create session:', error);
return;
}
set({ activeSession: data });
} catch (error) {
console.error('Error starting session:', error);
}
},
stopSession: async () => {
const { activeSession, completedSegments } = get();
if (activeSession) {
try {
await supabase
.from('transcription_sessions')
.update({
ended_at: new Date().toISOString(),
word_count: get().wordCount,
segment_count: completedSegments.length,
})
.eq('id', activeSession.id);
} catch (error) {
console.error('Failed to end session:', error);
}
}
set({
isRecording: false,
isConnecting: false,
activeSession: null,
});
},
saveSegment: async (text: string, isFinal: boolean, metadata: { start: number; end: number }) => {
const { completedSegments, currentSegment, activeSession, wordCount } = get();
if (isFinal) {
// Final segment - move current to completed, clear current
const newCompleted = [...completedSegments];
if (currentSegment && currentSegment.text.trim()) {
newCompleted.push({ ...currentSegment, isFinal: true });
}
const newWordCount = newCompleted.reduce(
(sum, seg) => sum + seg.text.trim().split(/\s+/).filter(Boolean).length,
0
);
set({
completedSegments: newCompleted,
currentSegment: null,
wordCount: newWordCount,
});
// Save to Supabase if session is active
if (activeSession) {
try {
const sequenceIndex = newCompleted.length - 1;
await supabase.from('transcription_segments').insert({
session_id: activeSession.id,
sequence_index: sequenceIndex,
text: text,
start_seconds: metadata.start,
end_seconds: metadata.end,
is_final: true,
});
} catch (error) {
console.error('Failed to save segment:', error);
}
}
} else {
// In-progress segment
set({ currentSegment: { text, isFinal: false, ...metadata } });
}
},
resetSession: () => {
set({
isRecording: false,
isConnecting: false,
completedSegments: [],
currentSegment: null,
wordCount: 0,
elapsedSeconds: 0,
activeSession: null,
pendingCanvasEvents: [],
timetableContext: null,
});
},
tickElapsed: () => {
set((state) => ({ elapsedSeconds: state.elapsedSeconds + 1 }));
},
addCanvasEvent: (event) => {
set((state) => ({
pendingCanvasEvents: [...state.pendingCanvasEvents, event],
}));
},
flushCanvasEvents: async () => {
const { pendingCanvasEvents, activeSession } = get();
if (pendingCanvasEvents.length === 0) return;
const eventsToFlush = [...pendingCanvasEvents];
try {
for (const event of eventsToFlush) {
await supabase.from('canvas_events').insert({
session_id: activeSession?.id || null,
user_id: (await supabase.auth.getUser()).data.user?.id || '',
timestamp: new Date().toISOString(),
session_elapsed_seconds: event.sessionElapsedSeconds || null,
event_type: event.eventType,
event_payload: event.payload || {},
canvas_snapshot_url: event.snapshotUrl || null,
tldraw_page_id: event.pageId || null,
tldraw_shape_ids: event.shapeIds || null,
});
}
set({ pendingCanvasEvents: [] });
} catch (error) {
console.error('Failed to flush canvas events:', error);
}
},
loadSessions: async (): Promise<TranscriptionSession[]> => {
try {
const user = await supabase.auth.getUser();
if (!user.data.user) return [];
const { data, error } = await supabase
.from('transcription_sessions')
.select('*')
.eq('user_id', user.data.user.id)
.order('started_at', { ascending: false })
.limit(50);
if (error) {
console.error('Failed to load sessions:', error);
return [];
}
return data || [];
} catch (error) {
console.error('Error loading sessions:', error);
return [];
}
},
// LLM config actions - persist to localStorage only
setLLMConfig: (partialConfig: Partial<LLMConfig>) => {
const current = get().llmConfig;
const updated = { ...current, ...partialConfig };
saveLLMConfig(updated);
set({ llmConfig: updated });
},
getLLMConfig: (): LLMConfig => {
return get().llmConfig;
},
// Summary actions
setSummaryText: (text: string | null) => {
set({ summaryText: text });
},
setIsGeneratingSummary: (generating: boolean) => {
set({ isGeneratingSummary: generating });
},
setSummaryError: (error: string | null) => {
set({ summaryError: error });
},
// Export actions
exportSession: async (sessionId: string, format: ExportFormat) => {
set({ isExporting: true, exportError: null });
try {
const apiBaseUrl = import.meta.env.VITE_API_BASE || 'https://api.classroomcopilot.ai';
const response = await fetch(`${apiBaseUrl}/transcribe/sessions/${sessionId}/export`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ format }),
});
if (!response.ok) {
const errorData = await response.json().catch(() => null);
throw new Error(errorData?.detail || errorData?.error || `Export failed: ${response.status}`);
}
// Get filename from Content-Disposition header or use default
const disposition = response.headers.get('Content-Disposition');
let filename = `transcription-export.${format}`;
if (disposition) {
const match = disposition.match(/filename[*]?=['"\s]*([^;\s]*)/);
if (match && match[1]) {
filename = match[1].replace(/["'\\]/g, '');
}
}
// Trigger browser download
const blob = await response.blob();
const url = window.URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = filename;
document.body.appendChild(a);
a.click();
window.URL.revokeObjectURL(url);
document.body.removeChild(a);
} catch (error) {
console.error('Failed to export session:', error);
set({ exportError: error instanceof Error ? error.message : 'Failed to export session' });
} finally {
set({ isExporting: false });
}
},
setExportError: (error: string | null) => {
set({ exportError: error });
},
}));

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@ -0,0 +1,258 @@
/**
* CanvasEventLogger silently logs TLDraw canvas activity during transcription sessions.
* Attaches to the editor instance and buffers events, flushing to API every 5 seconds.
*/
import { Editor, TLStoreEventInfo } from '@tldraw/tldraw';
import { useTranscriptionStore } from '../../stores/transcriptionStore';
export class CanvasEventLogger {
private editor: Editor | null = null;
private sessionId: string | null = null;
private buffer: Array<{
eventType: string;
payload: Record<string, any>;
sessionElapsedSeconds?: number;
pageId?: string;
shapeIds?: string[];
snapshotUrl?: string;
}> = [];
private flushInterval: ReturnType<typeof setInterval> | null = null;
private snapshotInterval: ReturnType<typeof setInterval> | null = null;
private snapshotIntervalMs: number = 60000; // 60 seconds default
private isAttached: boolean = false;
/**
* Attach the logger to a TLDraw editor instance.
* Starts buffering events and periodic snapshots.
*/
attach(editor: Editor, sessionId: string): void {
if (this.isAttached) {
this.detach();
}
this.editor = editor;
this.sessionId = sessionId;
this.isAttached = true;
// Listen to store changes for shape/page events
const unsubscribe = editor.store.listen(
(info: TLStoreEventInfo) => this.onStoreChange(info),
{ source: 'user' } // Only user-initiated changes, not programmatic
);
// Store unsubscribe function for cleanup
(editor as any).__canvasEventLoggerUnsubscribe = unsubscribe;
// Start periodic flush
this.flushInterval = setInterval(() => this.flush(), 5000);
// Start periodic snapshots
this.snapshotInterval = setInterval(() => this.captureSnapshot(), this.snapshotIntervalMs);
// Capture initial snapshot
this.captureSnapshot();
console.log('[CanvasEventLogger] Attached to editor for session', sessionId);
}
/**
* Detach the logger from the editor.
* Flushes any pending events and stops intervals.
*/
detach(): void {
if (!this.isAttached) return;
// Flush remaining events
this.flush();
// Stop intervals
if (this.flushInterval) {
clearInterval(this.flushInterval);
this.flushInterval = null;
}
if (this.snapshotInterval) {
clearInterval(this.snapshotInterval);
this.snapshotInterval = null;
}
// Unsubscribe from store listener
if (this.editor && (this.editor as any).__canvasEventLoggerUnsubscribe) {
(this.editor as any).__canvasEventLoggerUnsubscribe();
delete (this.editor as any).__canvasEventLoggerUnsubscribe;
}
this.editor = null;
this.sessionId = null;
this.isAttached = false;
console.log('[CanvasEventLogger] Detached from editor');
}
/**
* Handle store changes to detect canvas events.
*/
private onStoreChange(info: TLStoreEventInfo): void {
if (!this.editor || !this.sessionId) return;
const { added, removed, updated } = info;
const elapsedSeconds = useTranscriptionStore.getState().elapsedSeconds;
// Handle shape creation
if (added.size > 0) {
for (const [id, shape] of added) {
this.buffer.push({
eventType: 'shape_created',
payload: {
shapeId: id,
shapeType: shape.type,
pageId: this.editor?.currentPageId,
},
sessionElapsedSeconds: elapsedSeconds,
pageId: this.editor?.currentPageId,
shapeIds: [id],
});
}
}
// Handle shape deletion
if (removed.size > 0) {
for (const [id] of removed) {
this.buffer.push({
eventType: 'shape_deleted',
payload: { shapeId: id },
sessionElapsedSeconds: elapsedSeconds,
shapeIds: [id],
});
}
}
// Handle page changes
if (updated.size > 0) {
for (const [id, { old, new: updatedItem }] of updated) {
if (id === 'page' && old?.currentPageId !== updatedItem?.currentPageId) {
this.buffer.push({
eventType: 'page_changed',
payload: {
fromPageId: old?.currentPageId,
toPageId: updatedItem?.currentPageId,
},
sessionElapsedSeconds: elapsedSeconds,
pageId: updatedItem?.currentPageId,
});
// Capture snapshot on page change
this.captureSnapshot();
}
}
}
// Handle ink/draw strokes
for (const [id, shape] of added) {
if (shape.type === 'draw') {
this.buffer.push({
eventType: 'ink_added',
payload: { shapeId: id, strokeCount: (shape as any).points?.length || 0 },
sessionElapsedSeconds: elapsedSeconds,
shapeIds: [id],
});
}
}
// Flush immediately for significant events (page changes, ink)
if (this.buffer.length >= 5) {
this.flush();
}
}
/**
* Capture a snapshot of the current canvas state.
* Uploads to Supabase Storage and returns the URL.
*/
private async captureSnapshot(): Promise<string | null> {
if (!this.editor || !this.sessionId) return null;
try {
// Get SVG element from editor
const svgElement = this.editor.svg?.current;
if (!svgElement) {
console.warn('[CanvasEventLogger] No SVG element available for snapshot');
return null;
}
// Serialize SVG to string
const svgString = new XMLSerializer().serializeToString(svgElement);
const blob = new Blob([svgString], { type: 'image/svg+xml' });
// For now, store as base64 in the event payload
// In Phase 3, upload to Supabase Storage
const reader = new FileReader();
const base64Data = await new Promise<string>((resolve) => {
reader.onloadend = () => resolve(reader.result as string);
reader.readAsDataURL(blob);
});
// Store snapshot URL reference (will be replaced with actual storage URL in Phase 3)
const snapshotUrl = `canvas-snapshots/${this.sessionId}/${Date.now()}.svg`;
this.buffer.push({
eventType: 'canvas_snapshot',
payload: { snapshotUrl, pageId: this.editor.currentPageId },
sessionElapsedSeconds: useTranscriptionStore.getState().elapsedSeconds,
pageId: this.editor.currentPageId,
snapshotUrl,
});
console.log('[CanvasEventLogger] Snapshot captured:', snapshotUrl);
return snapshotUrl;
} catch (error) {
console.error('[CanvasEventLogger] Failed to capture snapshot:', error);
return null;
}
}
/**
* Flush buffered events to the API.
*/
private async flush(): void {
if (this.buffer.length === 0) return;
const events = [...this.buffer];
this.buffer = [];
try {
const response = await fetch('http://192.168.0.64:8000/transcribe/canvas-events', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
// TODO: Add auth header in Phase 3
},
body: JSON.stringify({ events }),
});
if (!response.ok) {
console.error('[CanvasEventLogger] Failed to flush canvas events:', response.status);
} else {
console.log('[CanvasEventLogger] Flushed', events.length, 'events');
}
} catch (error) {
console.error('[CanvasEventLogger] Error flushing canvas events:', error);
// Re-queue events for retry
this.buffer = [...events, ...this.buffer];
}
}
/**
* Manually trigger a snapshot capture.
*/
async captureSnapshotNow(): Promise<string | null> {
return this.captureSnapshot();
}
/**
* Get the current buffer size (for debugging).
*/
getBufferSize(): number {
return this.buffer.length;
}
}

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@ -23,7 +23,8 @@ import {
Search as SearchIcon,
Navigation as NavigationIcon,
Save as NodeIcon,
Assignment as ExamIcon
Assignment as ExamIcon,
Mic as MicIcon
} from '@mui/icons-material';
import { CCShapesPanel } from './CCShapesPanel';
import { CCSlidesPanel } from './CCSlidesPanel';
@ -33,6 +34,7 @@ import { CCYoutubePanel } from './CCYoutubePanel';
import { CCGraphPanel } from './CCGraphPanel';
import { CCExamMarkerPanel } from './CCExamMarkerPanel';
import { CCSearchPanel } from './CCSearchPanel'
import { CCTranscriptionPanel } from './CCTranscriptionPanel'
import { PANEL_DIMENSIONS, Z_INDICES } from './panel-styles';
import './panel.css';
// import { CCNavigationPanel } from './navigation/CCNavigationPanel';
@ -47,6 +49,7 @@ export const PANEL_TYPES = {
{ id: 'node-snapshot', label: 'Node', order: 20 },
{ id: 'files', label: 'Files', order: 25 },
{ id: 'cc-shapes', label: 'Shapes', order: 30 },
{ id: 'transcription', label: 'Transcription', order: 35 },
{ id: 'slides', label: 'Slides', order: 40 },
{ id: 'youtube', label: 'YouTube', order: 50 },
{ id: 'graph', label: 'Graph', order: 60 },
@ -208,6 +211,8 @@ export const BasePanel: React.FC<BasePanelProps> = ({
return <NavigationIcon />;
case 'cc-shapes':
return <ShapesIcon />;
case 'transcription':
return <MicIcon />;
case 'slides':
return <SlidesIcon />;
case 'youtube':
@ -231,6 +236,8 @@ export const BasePanel: React.FC<BasePanelProps> = ({
switch (panelId) {
case 'cabinets':
return 'Manage file cabinets';
case 'transcription':
return 'Record and transcribe lessons';
case 'cc-shapes':
return 'Add shapes and elements to your canvas';
case 'slides':
@ -260,6 +267,8 @@ export const BasePanel: React.FC<BasePanelProps> = ({
switch (currentPanelType) {
case 'cabinets':
return <CCCabinetsPanel />;
case 'transcription':
return <CCTranscriptionPanel />;
case 'files':
return <CCFilesPanel />;
case 'cc-shapes':

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@ -0,0 +1,687 @@
import React, { useEffect, useRef, useState } from "react";
import { Mic as MicIcon, Stop as StopIcon, History as HistoryIcon, Settings as SettingsIcon, AutoAwesome as AutoAwesomeIcon } from "@mui/icons-material";
import { useTranscriptionStore, TranscriptionSegment, TranscriptionSession, TimetablePeriod } from "../../../../../stores/transcriptionStore";
import { TranscriptionService } from "../../../cc-base/cc-transcription/transcriptionService";
import { CanvasEventLogger } from "../../../cc-base/canvas-event-logger/CanvasEventLogger";
import LLMConfigModal from "./LLMConfigModal";
import "./panel.css";
const formatTime = (seconds: number): string => {
const m = Math.floor(seconds / 60);
const s = seconds % 60;
return m.toString().padStart(2, "0") + ":" + s.toString().padStart(2, "0");
};
const formatDateTime = (isoString: string): string => {
const date = new Date(isoString);
return date.toLocaleDateString() + " " + date.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' });
};
type TabType = "live" | "sessions";
const SUMMARY_TYPES = [
{ value: 'full_lesson', label: 'Full Lesson Summary' },
{ value: 'questions_asked', label: 'Questions Asked' },
{ value: 'teaching_style', label: 'Teaching Style' },
{ value: 'key_moments', label: 'Key Moments' },
{ value: 'segment', label: 'Segment Summary' },
] as const;
export const CCTranscriptionPanel: React.FC = () => {
const {
isRecording,
completedSegments,
currentSegment,
wordCount,
elapsedSeconds,
activeSession,
timetableContext,
startSession,
stopSession,
saveSegment,
resetSession,
tickElapsed,
addCanvasEvent,
flushCanvasEvents,
loadSessions,
setTimetableContext,
llmConfig,
summaryText,
isGeneratingSummary,
summaryError,
setSummaryText,
setIsGeneratingSummary,
setSummaryError,
} = useTranscriptionStore();
const [activeTab, setActiveTab] = useState<TabType>("live");
const [sessions, setSessions] = useState<TranscriptionSession[]>([]);
const [sessionName, setSessionName] = useState("Untitled Session");
const serviceRef = useRef<TranscriptionService | null>(null);
const timerRef = useRef<ReturnType<typeof setInterval> | null>(null);
const canvasLoggerRef = useRef<CanvasEventLogger | null>(null);
// Modal state
const [showSettingsModal, setShowSettingsModal] = useState(false);
const [showSummaryModal, setShowSummaryModal] = useState(false);
const [summaryType, setSummaryType] = useState('full_lesson');
// Load sessions on mount
useEffect(() => {
loadSessions().then(setSessions);
}, []);
// Auto-detect timetable context on mount
useEffect(() => {
const detectTimetable = async () => {
try {
const response = await fetch('http://192.168.0.64:8000/database/timetables/current-period');
const data = await response.json();
if (data.period_id) {
setTimetableContext(data as TimetablePeriod);
}
} catch (error) {
console.error('Failed to detect timetable context:', error);
}
};
detectTimetable();
}, []);
// Timer for elapsed seconds
useEffect(() => {
if (isRecording) {
timerRef.current = setInterval(tickElapsed, 1000);
} else if (timerRef.current) {
clearInterval(timerRef.current);
timerRef.current = null;
}
return () => {
if (timerRef.current) clearInterval(timerRef.current);
};
}, [isRecording, tickElapsed]);
// Canvas event flush interval (every 5s)
useEffect(() => {
if (!isRecording) return;
const flushInterval = setInterval(async () => {
await flushCanvasEvents();
}, 5000);
return () => clearInterval(flushInterval);
}, [isRecording, flushCanvasEvents]);
const handleStart = async () => {
try {
await startSession(timetableContext || undefined);
const service = new TranscriptionService();
service.setTranscriptionCallback((text, isFinal, metadata) => {
saveSegment(text, isFinal, metadata);
});
await service.startTranscription();
serviceRef.current = service;
// Initialize canvas event logger if session was created
const state = useTranscriptionStore.getState();
if (state.activeSession) {
console.log('[CCTranscriptionPanel] Canvas event logging would start for session', state.activeSession.id);
}
} catch (error) {
console.error("Failed to start transcription:", error);
stopSession();
}
};
const handleStop = async () => {
if (serviceRef.current) {
serviceRef.current.stopTranscription();
serviceRef.current = null;
}
if (canvasLoggerRef.current) {
canvasLoggerRef.current.detach();
canvasLoggerRef.current = null;
}
await stopSession();
};
useEffect(() => {
return () => {
if (serviceRef.current) {
serviceRef.current.stopTranscription();
serviceRef.current = null;
}
};
}, []);
const handleRefreshSessions = async () => {
const loaded = await loadSessions();
setSessions(loaded);
};
// Generate summary handler
const handleGenerateSummary = async () => {
if (!activeSession) {
setSummaryError("No active session to generate summary for.");
return;
}
const config = useTranscriptionStore.getState().llmConfig;
if (!config.apiKey) {
setSummaryError("Please configure your API key in Settings first.");
return;
}
setIsGeneratingSummary(true);
setSummaryError(null);
setShowSummaryModal(false);
try {
const apiBaseUrl = import.meta.env.VITE_API_BASE || 'https://api.classroomcopilot.ai';
const response = await fetch(`${apiBaseUrl}/transcribe/sessions/${activeSession.id}/summaries`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
summary_type: summaryType,
provider: config.provider,
model: config.model,
api_key: config.apiKey,
}),
});
if (!response.ok) {
const errorData = await response.json().catch(() => null);
throw new Error(errorData?.detail || errorData?.error || `API error: ${response.status}`);
}
const data = await response.json();
// The API returns the summary text in the response
const summary = data.summary || data.content || data.text || JSON.stringify(data);
setSummaryText(summary);
} catch (error) {
console.error('Failed to generate summary:', error);
setSummaryError(error instanceof Error ? error.message : 'Failed to generate summary');
} finally {
setIsGeneratingSummary(false);
}
};
return (
<div className="panel-container">
{/* Tab bar */}
<div style={{ display: "flex", borderBottom: "1px solid var(--color-divider)", marginBottom: "8px" }}>
<button
onClick={() => setActiveTab("live")}
style={{
flex: 1,
padding: "8px",
border: "none",
backgroundColor: activeTab === "live" ? "var(--color-hover)" : "transparent",
color: "var(--color-text)",
cursor: "pointer",
fontSize: "13px",
fontWeight: activeTab === "live" ? 600 : 400,
borderBottom: activeTab === "live" ? "2px solid var(--color-text)" : "none",
}}
>
<HistoryIcon style={{ fontSize: "16px", verticalAlign: "middle", marginRight: "4px" }} />
Live
</button>
<button
onClick={() => setActiveTab("sessions")}
style={{
flex: 1,
padding: "8px",
border: "none",
backgroundColor: activeTab === "sessions" ? "var(--color-hover)" : "transparent",
color: "var(--color-text)",
cursor: "pointer",
fontSize: "13px",
fontWeight: activeTab === "sessions" ? 600 : 400,
borderBottom: activeTab === "sessions" ? "2px solid var(--color-text)" : "none",
}}
>
<HistoryIcon style={{ fontSize: "16px", verticalAlign: "middle", marginRight: "4px" }} />
Sessions
</button>
</div>
{/* Live Tab */}
{activeTab === "live" && (
<>
{/* Session header with settings button */}
<div className="panel-section">
<div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
<span style={{ fontSize: "14px", fontWeight: 500, color: "var(--color-text)" }}>
{sessionName}
</span>
<div style={{ display: "flex", gap: "8px", alignItems: "center" }}>
<button
onClick={() => setShowSettingsModal(true)}
title="LLM Provider Settings"
style={{
padding: "4px",
border: "none",
backgroundColor: "transparent",
color: "var(--color-text-2)",
cursor: "pointer",
borderRadius: "4px",
display: "flex",
alignItems: "center",
}}
onMouseEnter={(e) => (e.currentTarget.style.color = "var(--color-text)")}
onMouseLeave={(e) => (e.currentTarget.style.color = "var(--color-text-2)")}
>
<SettingsIcon sx={{ fontSize: 18 }} />
</button>
<div style={{ display: "flex", gap: "12px", fontSize: "12px", color: "var(--color-text-2)" }}>
<span>{wordCount} words</span>
<span>{formatTime(elapsedSeconds)}</span>
</div>
</div>
</div>
{/* Timetable badge */}
{timetableContext && timetableContext.event_label && (
<div style={{
marginTop: "8px",
padding: "4px 8px",
backgroundColor: "var(--color-hover)",
borderRadius: "4px",
fontSize: "12px",
color: "var(--color-text)",
}}>
📅 {timetableContext.event_label}
</div>
)}
</div>
<div className="panel-divider" />
{/* Record button */}
<div className="panel-section">
<button
onClick={isRecording ? handleStop : handleStart}
style={{
display: "flex",
alignItems: "center",
justifyContent: "center",
gap: "8px",
padding: "16px",
width: "100%",
borderRadius: "8px",
border: "none",
cursor: "pointer",
fontSize: "14px",
fontWeight: 600,
color: "#fff",
backgroundColor: isRecording ? "#ef4444" : "var(--color-text)",
transition: "background-color 200ms ease",
}}
>
{isRecording ? <StopIcon /> : <MicIcon />}
{isRecording ? "Stop Recording" : "Start Recording"}
</button>
</div>
{/* Generate Summary button (only when recording or has segments) */}
{(isRecording || completedSegments.length > 0) && (
<>
<div className="panel-divider" />
<div className="panel-section">
<button
onClick={() => setShowSummaryModal(true)}
disabled={isGeneratingSummary}
style={{
display: "flex",
alignItems: "center",
justifyContent: "center",
gap: "8px",
padding: "12px",
width: "100%",
borderRadius: "8px",
border: "none",
cursor: isGeneratingSummary ? "not-allowed" : "pointer",
fontSize: "13px",
fontWeight: 600,
color: "#fff",
backgroundColor: isGeneratingSummary ? "#9ca3af" : "#7c3aed",
transition: "background-color 200ms ease",
opacity: isGeneratingSummary ? 0.7 : 1,
}}
>
{isGeneratingSummary ? (
<span style={{ display: "inline-block", width: 16, height: 16, border: "2px solid #fff", borderTopColor: "transparent", borderRadius: "50%", animation: "spin 1s linear infinite" }} />
) : (
<AutoAwesomeIcon />
)}
{isGeneratingSummary ? "Generating..." : "Generate Summary"}
</button>
</div>
</>
)}
{/* Export button */}
{activeSession && (
<>
<div className="panel-divider" />
<div className="panel-section">
<div style={{ fontSize: "14px", fontWeight: 500, color: "var(--color-text)", marginBottom: "8px" }}>
Export Session
</div>
<div style={{ display: "flex", gap: "8px" }}>
{(['srt', 'txt', 'json'] as const).map((format) => (
<button
key={format}
onClick={async () => {
try {
const apiBaseUrl = import.meta.env.VITE_API_BASE || 'https://api.classroomcopilot.ai';
const response = await fetch(`${apiBaseUrl}/transcribe/sessions/${activeSession.id}/export`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ format }),
});
if (!response.ok) throw new Error('Export failed');
const blob = await response.blob();
const url = window.URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `session_${activeSession.id.slice(0,8)}_${format}`;
document.body.appendChild(a);
a.click();
window.URL.revokeObjectURL(url);
document.body.removeChild(a);
} catch (error) {
console.error('Export failed:', error);
}
}}
style={{
flex: 1,
padding: '8px',
border: '1px solid var(--color-divider)',
backgroundColor: 'transparent',
color: 'var(--color-text)',
borderRadius: '4px',
cursor: 'pointer',
fontSize: '12px',
fontWeight: 500,
}}
>
{format.toUpperCase()}
</button>
))}
</div>
</div>
</>
)}
{/* Summary result display */}
{summaryText && (
<>
<div className="panel-divider" />
<div className="panel-section">
<div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
<div className="panel-section-title">
<AutoAwesomeIcon sx={{ fontSize: 16, verticalAlign: "middle", marginRight: "4px" }} />
AI Summary
</div>
<button
onClick={() => setSummaryText(null)}
style={{
padding: "2px 6px",
border: "none",
backgroundColor: "transparent",
color: "var(--color-text-2)",
cursor: "pointer",
fontSize: "16px",
lineHeight: 1,
}}
>
×
</button>
</div>
<div style={{
padding: "10px",
backgroundColor: "#f5f3ff",
borderRadius: "6px",
border: "1px solid #e0d5f5",
fontSize: "13px",
color: "var(--color-text)",
lineHeight: 1.5,
whiteSpace: "pre-wrap",
maxHeight: "300px",
overflowY: "auto",
}}>
{summaryText}
</div>
</div>
</>
)}
{/* Summary error display */}
{summaryError && (
<>
<div className="panel-divider" />
<div className="panel-section">
<div style={{
padding: "10px",
backgroundColor: "#fef2f2",
borderRadius: "6px",
border: "1px solid #fecaca",
fontSize: "13px",
color: "#dc2626",
}}>
<strong>Error:</strong> {summaryError}
</div>
</div>
</>
)}
<div className="panel-divider" />
{/* Live feed */}
<div className="panel-section" style={{ gap: "6px" }}>
<div className="panel-section-title">Live Feed</div>
{completedSegments.map((seg, i) => (
<div
key={"completed-" + i}
style={{
padding: "8px 10px",
backgroundColor: "#fff",
borderRadius: "4px",
border: "1px solid var(--color-divider)",
fontSize: "13px",
color: "var(--color-text)",
lineHeight: 1.4,
}}
>
{seg.text}
</div>
))}
{currentSegment && (
<div
style={{
padding: "8px 10px",
backgroundColor: "var(--color-panel)",
borderRadius: "4px",
border: "1px dashed var(--color-divider)",
fontSize: "13px",
color: "var(--color-text-2)",
fontStyle: "italic",
lineHeight: 1.4,
}}
>
{currentSegment.text || "Listening..."}
</div>
)}
{!isRecording && completedSegments.length === 0 && !currentSegment && (
<div style={{ textAlign: "center", color: "var(--color-text-2)", padding: "16px", fontSize: "13px" }}>
Press Start Recording to begin transcription
</div>
)}
</div>
</>
)}
{/* Sessions Tab */}
{activeTab === "sessions" && (
<>
<div className="panel-section">
<div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
<span style={{ fontSize: "14px", fontWeight: 500, color: "var(--color-text)" }}>
Past Sessions
</span>
<button
onClick={handleRefreshSessions}
style={{
padding: "4px 8px",
border: "1px solid var(--color-divider)",
backgroundColor: "transparent",
color: "var(--color-text)",
borderRadius: "4px",
cursor: "pointer",
fontSize: "12px",
}}
>
Refresh
</button>
</div>
</div>
<div className="panel-divider" />
<div className="panel-section" style={{ gap: "8px", maxHeight: "400px", overflowY: "auto" }}>
{sessions.length === 0 ? (
<div style={{ textAlign: "center", color: "var(--color-text-2)", padding: "16px", fontSize: "13px" }}>
No sessions yet
</div>
) : (
sessions.map((session) => (
<div
key={session.id}
style={{
padding: "10px",
backgroundColor: "#fff",
borderRadius: "4px",
border: "1px solid var(--color-divider)",
}}
>
<div style={{ fontSize: "13px", fontWeight: 500, color: "var(--color-text)" }}>
{session.title || "Untitled Session"}
</div>
<div style={{ fontSize: "12px", color: "var(--color-text-2)", marginTop: "4px" }}>
{formatDateTime(session.started_at)}
{session.duration_seconds && ` · ${Math.floor(session.duration_seconds / 60)}m`}
{session.segment_count && ` · ${session.segment_count} segments`}
</div>
{session.timetable_event_label && (
<div style={{
marginTop: "4px",
padding: "2px 6px",
backgroundColor: "var(--color-hover)",
borderRadius: "3px",
fontSize: "11px",
color: "var(--color-text)",
display: "inline-block",
}}>
📅 {session.timetable_event_label}
</div>
)}
</div>
))
)}
</div>
</>
)}
{/* LLM Config Settings Modal */}
<LLMConfigModal
isOpen={showSettingsModal}
onClose={() => setShowSettingsModal(false)}
/>
{/* Summary Type Selection Modal */}
{showSummaryModal && (
<div className="fixed inset-0 z-[9999] overflow-y-auto">
<div
className="fixed inset-0 bg-black/50 transition-opacity"
onClick={() => setShowSummaryModal(false)}
/>
<div className="relative transform overflow-hidden rounded-lg bg-white text-left shadow-xl transition-all sm:my-8 w-full max-w-sm mx-auto">
<div className="bg-gray-50 px-4 py-3 flex items-center justify-between border-b border-gray-200">
<h3 className="text-lg font-medium leading-6 text-gray-900">
Generate Summary
</h3>
<button
onClick={() => setShowSummaryModal(false)}
className="text-gray-400 hover:text-gray-500 focus:outline-none"
>
<Close sx={{ fontSize: 20 }} />
</button>
</div>
<div className="px-4 py-5 sm:p-6 space-y-4">
<div>
<label className="block text-sm font-medium text-gray-700 mb-1">
Summary Type
</label>
<select
value={summaryType}
onChange={(e) => setSummaryType(e.target.value)}
className="w-full rounded-md border border-gray-300 px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-transparent"
>
{SUMMARY_TYPES.map((t) => (
<option key={t.value} value={t.value}>
{t.label}
</option>
))}
</select>
</div>
{/* Config status indicator */}
<div style={{
padding: "8px",
borderRadius: "6px",
fontSize: "12px",
backgroundColor: llmConfig.apiKey ? "#f0fdf4" : "#fef2f2",
color: llmConfig.apiKey ? "#16a34a" : "#dc2626",
border: `1px solid ${llmConfig.apiKey ? "#bbf7d0" : "#fecaca"}`,
}}>
{llmConfig.apiKey ? (
<> Configured: {llmConfig.provider} ({llmConfig.model || 'default model'})</>
) : (
<> No API key configured. Click the icon to set up.</>
)}
</div>
<button
onClick={handleGenerateSummary}
disabled={isGeneratingSummary || !llmConfig.apiKey}
className={`w-full rounded-md px-4 py-2 text-sm font-medium text-white transition-colors ${
isGeneratingSummary || !llmConfig.apiKey
? 'bg-gray-400 cursor-not-allowed'
: 'bg-purple-600 hover:bg-purple-700'
}`}
>
{isGeneratingSummary ? 'Generating...' : 'Generate'}
</button>
</div>
</div>
</div>
)}
{/* Spinner animation style */}
<style>{`
@keyframes spin {
from { transform: rotate(0deg); }
to { transform: rotate(360deg); }
}
`}</style>
</div>
);
};

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@ -0,0 +1,126 @@
import React, { useState, useEffect } from 'react';
import Close from '@mui/icons-material/Close';
import { useTranscriptionStore, LLMConfig } from '../../../../../stores/transcriptionStore';
const PROVIDERS = [
{ value: 'openai', label: 'OpenAI' },
{ value: 'anthropic', label: 'Anthropic' },
{ value: 'ollama', label: 'Ollama' },
{ value: 'openrouter', label: 'OpenRouter' },
{ value: 'google', label: 'Google' },
] as const;
const LLMConfigModal: React.FC<{ isOpen: boolean; onClose: () => void }> = ({ isOpen, onClose }) => {
const { llmConfig, setLLMConfig } = useTranscriptionStore();
const [form, setForm] = useState<LLMConfig>(llmConfig);
const [saved, setSaved] = useState(false);
useEffect(() => {
if (isOpen) {
setForm(useTranscriptionStore.getState().llmConfig);
setSaved(false);
}
}, [isOpen]);
const handleSave = () => {
setLLMConfig(form);
setSaved(true);
setTimeout(() => setSaved(false), 2000);
};
if (!isOpen) return null;
return (
<div className="fixed inset-0 z-[9999] overflow-y-auto">
{/* Backdrop */}
<div
className="fixed inset-0 bg-black/50 transition-opacity"
onClick={onClose}
/>
{/* Modal panel */}
<div className="relative transform overflow-hidden rounded-lg bg-white text-left shadow-xl transition-all sm:my-8 w-full max-w-md mx-auto">
{/* Header */}
<div className="bg-gray-50 px-4 py-3 flex items-center justify-between border-b border-gray-200">
<h3 className="text-lg font-medium leading-6 text-gray-900">
LLM Provider Settings
</h3>
<button
onClick={onClose}
className="text-gray-400 hover:text-gray-500 focus:outline-none"
>
<Close sx={{ fontSize: 20 }} />
</button>
</div>
{/* Content */}
<div className="px-4 py-5 sm:p-6 space-y-4">
{/* Provider dropdown */}
<div>
<label className="block text-sm font-medium text-gray-700 mb-1">
Provider
</label>
<select
value={form.provider}
onChange={(e) => setForm({ ...form, provider: e.target.value as LLMConfig['provider'] })}
className="w-full rounded-md border border-gray-300 px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-transparent"
>
{PROVIDERS.map((p) => (
<option key={p.value} value={p.value}>
{p.label}
</option>
))}
</select>
</div>
{/* Model name */}
<div>
<label className="block text-sm font-medium text-gray-700 mb-1">
Model
</label>
<input
type="text"
value={form.model}
onChange={(e) => setForm({ ...form, model: e.target.value })}
placeholder="e.g. gpt-4o, claude-sonnet-4-20250514"
className="w-full rounded-md border border-gray-300 px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-transparent"
/>
</div>
{/* API Key */}
<div>
<label className="block text-sm font-medium text-gray-700 mb-1">
API Key
</label>
<input
type="password"
value={form.apiKey}
onChange={(e) => setForm({ ...form, apiKey: e.target.value })}
placeholder="sk-..."
className="w-full rounded-md border border-gray-300 px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-transparent"
/>
</div>
{/* Note */}
<p className="text-xs text-gray-500">
API keys are stored locally in your browser only. They are never sent to Supabase or stored on any server.
</p>
{/* Save button */}
<button
onClick={handleSave}
className={`w-full rounded-md px-4 py-2 text-sm font-medium text-white transition-colors ${
saved
? 'bg-green-600 hover:bg-green-700'
: 'bg-blue-600 hover:bg-blue-700'
}`}
>
{saved ? '✓ Saved!' : 'Save Settings'}
</button>
</div>
</div>
</div>
);
};
export default LLMConfigModal;