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import { describe, it, expect, vi } from 'vitest';
import { Channel } from './index';
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
function createMockPerspective(querySparqlImpl?: (...args: any[]) => any) {
const sparqlCalls: string[] = [];
const defaultImpl = async (query: string) => {
sparqlCalls.push(query);
return [];
};
const impl = querySparqlImpl
? async (...args: any[]) => {
sparqlCalls.push(args[0]);
return querySparqlImpl(...args);
}
: defaultImpl;
return {
sparqlCalls,
querySparql: vi.fn(impl),
// Default to an empty modelQuery result so call sites that converted
// off querySparql (e.g. `Channel.pinnedConversations()` post-#846) get
// back `[]` for the empty case without each test having to opt in.
modelQuery: vi.fn().mockResolvedValue({ instances: [], totalCount: 0 }),
get: vi.fn().mockResolvedValue([]),
add: vi.fn().mockResolvedValue({}),
};
}
// ---------------------------------------------------------------------------
// Static methods
// ---------------------------------------------------------------------------
describe('Channel.recentConversations()', () => {
it('returns empty array when perspective has no data', async () => {
const perspective = createMockPerspective();
const results = await Channel.recentConversations(perspective as any, 20);
expect(results).toEqual([]);
});
it('returns conversation channels sorted by most recent activity', async () => {
const perspective = createMockPerspective();
perspective.querySparql.mockResolvedValue([
{ channelId: 'ch-1', isConv: 'true', conversationId: 'conv-1' },
{ channelId: 'ch-2', isConv: 'true', conversationId: null },
]);
perspective.get
.mockResolvedValueOnce([{ timestamp: '2026-04-19T10:00:00Z' }])
.mockResolvedValueOnce([{ timestamp: '2026-04-20T10:00:00Z' }]);
const results = await Channel.recentConversations(perspective as any, 20);
expect(results).toHaveLength(2);
// ch-2 has the more recent activity, so it should come first
expect(results[0].channelId).toBe('ch-2');
expect(results[1].channelId).toBe('ch-1');
expect(results[1].conversationId).toBe('conv-1');
// null conversationId should become undefined
expect(results[0].conversationId).toBeUndefined();
});
it('deduplicates by channelId', async () => {
const perspective = createMockPerspective();
perspective.querySparql.mockResolvedValue([
{ channelId: 'ch-1', isConv: 'true', conversationId: 'conv-1' },
{ channelId: 'ch-1', isConv: 'true', conversationId: 'conv-2' },
]);
perspective.get.mockResolvedValue([{ timestamp: '2026-04-20T10:00:00Z' }]);
const results = await Channel.recentConversations(perspective as any, 20);
expect(results).toHaveLength(1);
});
it('returns empty array on error', async () => {
const perspective = createMockPerspective();
perspective.querySparql.mockRejectedValue(new Error('SPARQL error'));
const results = await Channel.recentConversations(perspective as any, 20);
expect(results).toEqual([]);
});
it('respects the limit parameter', async () => {
const perspective = createMockPerspective();
perspective.querySparql.mockResolvedValue([
{ channelId: 'ch-1', isConv: 'true' },
{ channelId: 'ch-2', isConv: 'true' },
{ channelId: 'ch-3', isConv: 'true' },
]);
perspective.get.mockResolvedValue([{ timestamp: '2026-04-20T10:00:00Z' }]);
const results = await Channel.recentConversations(perspective as any, 2);
expect(results).toHaveLength(2);
});
it('handles null query results', async () => {
const perspective = createMockPerspective();
perspective.querySparql.mockResolvedValue(null as any);
const results = await Channel.recentConversations(perspective as any, 20);
expect(results).toEqual([]);
});
it('only includes conversation channels, not regular channels', async () => {
const perspective = createMockPerspective();
perspective.querySparql.mockResolvedValue([
{ channelId: 'ch-conv', isConv: 'true' },
{ channelId: 'ch-regular', isConv: 'false' },
]);
perspective.get.mockResolvedValue([{ timestamp: '2026-04-20T10:00:00Z' }]);
const results = await Channel.recentConversations(perspective as any, 20);
expect(results).toHaveLength(1);
expect(results[0].channelId).toBe('ch-conv');
});
});
describe('Channel.pinnedConversations()', () => {
it('returns empty array when perspective has no data', async () => {
const perspective = createMockPerspective();
const results = await Channel.pinnedConversations(perspective as any);
expect(results).toEqual([]);
});
it('returns mapped results', async () => {
const perspective = createMockPerspective();
perspective.modelQuery.mockResolvedValueOnce({
instances: [{ id: 'ch-1', conversations: [{ id: 'conv-1' }] }],
totalCount: 1,
});
const results = await Channel.pinnedConversations(perspective as any);
expect(results).toHaveLength(1);
expect(results[0]).toEqual({ channelId: 'ch-1', conversationId: 'conv-1' });
});
it('handles channels with no linked conversation', async () => {
const perspective = createMockPerspective();
perspective.modelQuery.mockResolvedValueOnce({
instances: [{ id: 'ch-1', conversations: [] }],
totalCount: 1,
});
const results = await Channel.pinnedConversations(perspective as any);
expect(results).toHaveLength(1);
expect(results[0]).toEqual({ channelId: 'ch-1', conversationId: undefined });
});
it('handles errors gracefully', async () => {
const perspective = createMockPerspective();
perspective.modelQuery.mockRejectedValueOnce(new Error('modelQuery error'));
const results = await Channel.pinnedConversations(perspective as any);
expect(results).toEqual([]);
});
});
// ---------------------------------------------------------------------------
// allItems()
// ---------------------------------------------------------------------------
describe('Channel.allItems()', () => {
it('uses transcriptStart when present instead of link timestamp', async () => {
const perspective = createMockPerspective(async () => [
{
id: 'msg-1',
author: 'did:test:alice',
timestamp: '2026-04-20T10:05:00Z', // link creation (after transcription)
type: 'flux://has_message',
body: 'Hello from voice',
transcriptStart: '2026-04-20T10:00:00Z', // actual speech time
},
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.allItems();
expect(items).toHaveLength(1);
expect(items[0].timestamp).toBe('2026-04-20T10:00:00.000Z');
});
it('falls back to link timestamp when transcriptStart is absent', async () => {
const perspective = createMockPerspective(async () => [
{
id: 'msg-2',
author: 'did:test:bob',
timestamp: '2026-04-20T10:05:00Z',
type: 'flux://has_message',
body: 'Typed message',
},
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.allItems();
expect(items).toHaveLength(1);
expect(items[0].timestamp).toBe('2026-04-20T10:05:00.000Z');
});
it('falls back to link timestamp when transcriptStart is empty string', async () => {
const perspective = createMockPerspective(async () => [
{
id: 'msg-3',
author: 'did:test:bob',
timestamp: '2026-04-20T10:05:00Z',
type: 'flux://has_message',
body: 'Another message',
transcriptStart: '',
},
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.allItems();
expect(items).toHaveLength(1);
expect(items[0].timestamp).toBe('2026-04-20T10:05:00.000Z');
});
it('orders mixed transcription and typed messages by effective timestamp', async () => {
const perspective = createMockPerspective(async () => [
{
id: 'msg-typed',
author: 'did:test:bob',
timestamp: '2026-04-20T10:02:00Z',
type: 'flux://has_message',
body: 'Typed at 10:02',
},
{
id: 'msg-voice',
author: 'did:test:alice',
timestamp: '2026-04-20T10:05:00Z', // saved late
type: 'flux://has_message',
body: 'Spoken at 10:01',
transcriptStart: '2026-04-20T10:01:00Z', // actual speech
},
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.allItems();
const voice = items.find((i) => i.id === 'msg-voice')!;
const typed = items.find((i) => i.id === 'msg-typed')!;
expect(voice.timestamp).toBe('2026-04-20T10:01:00.000Z');
expect(typed.timestamp).toBe('2026-04-20T10:02:00.000Z');
expect(voice.timestamp < typed.timestamp).toBe(true);
});
});
// ---------------------------------------------------------------------------
// unprocessedItems() — set-difference filtering
// ---------------------------------------------------------------------------
describe('Channel.unprocessedItems() set-difference filtering', () => {
// Helper: mock perspective that returns different results per query call
// (unprocessedItems issues up to 3 queries: allItems, processed, data)
function createSequentialPerspective(responses: (() => any[])[]) {
let callCount = 0;
return createMockPerspective(async () => {
const response = responses[callCount] || (() => []);
callCount++;
return response();
});
}
it('returns only unprocessed items (filters out processed ones)', async () => {
const perspective = createSequentialPerspective([
// Query 1 (allItems): all channel children
() => [{ id: 'item1' }, { id: 'item2' }, { id: 'item3' }, { id: 'item4' }],
// Query 2 (processed): items already in a subgroup
() => [{ id: 'item1' }, { id: 'item3' }],
// Query 3 (data): full data for unprocessed items
() => [
{ id: 'item2', author: 'did:test:alice', timestamp: '2026-01-01T00:01:00Z', type: 'flux://has_message', body: 'msg2' },
{ id: 'item4', author: 'did:test:bob', timestamp: '2026-01-01T00:02:00Z', type: 'flux://has_message', body: 'msg4' },
],
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toHaveLength(2);
expect(items.map(i => i.id)).toEqual(['item2', 'item4']);
});
it('returns all items when none are processed', async () => {
const perspective = createSequentialPerspective([
() => [{ id: 'item1' }, { id: 'item2' }],
() => [],
() => [
{ id: 'item1', author: 'did:test:alice', timestamp: '2026-01-01T00:01:00Z', type: 'flux://has_message', body: 'msg1' },
{ id: 'item2', author: 'did:test:bob', timestamp: '2026-01-01T00:02:00Z', type: 'flux://has_message', body: 'msg2' },
],
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toHaveLength(2);
});
it('returns empty array when all items are processed', async () => {
const perspective = createSequentialPerspective([
() => [{ id: 'item1' }],
() => [{ id: 'item1' }],
// Query 3 should not be reached
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toEqual([]);
});
it('returns empty array when no items exist', async () => {
const perspective = createSequentialPerspective([
() => [],
() => [],
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toEqual([]);
});
it('handles null query results gracefully', async () => {
const perspective = createMockPerspective();
perspective.querySparql.mockResolvedValue(null as any);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toEqual([]);
});
it('deduplicates items by id in data results', async () => {
const perspective = createSequentialPerspective([
() => [{ id: 'item1' }],
() => [],
// Data query returns duplicates
() => [
{ id: 'item1', author: 'did:test:alice', timestamp: '2026-01-01T00:01:00Z', type: 'flux://has_message', body: 'msg1' },
{ id: 'item1', author: 'did:test:alice', timestamp: '2026-01-01T00:01:00Z', type: 'flux://has_message', body: 'msg1' },
],
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toHaveLength(1);
});
});
// ---------------------------------------------------------------------------
// unprocessedItems() — transcript timestamp coalescing
// ---------------------------------------------------------------------------
describe('Channel.unprocessedItems() transcript timestamp coalescing', () => {
// Helper: mock perspective that returns different results per call
// (unprocessedItems issues 3 queries: allItems, processed, data)
function createSequentialMockPerspective(responses: (() => any[])[]) {
let callCount = 0;
return createMockPerspective(async () => {
const response = responses[callCount] || (() => []);
callCount++;
return response();
});
}
it('uses transcriptStart when present instead of link timestamp', async () => {
const perspective = createSequentialMockPerspective([
() => [{ id: 'msg-1' }],
() => [],
() => [
{
id: 'msg-1',
author: 'did:test:alice',
timestamp: '2026-04-20T10:05:00Z',
type: 'flux://has_message',
body: 'Voice message',
transcriptStart: '2026-04-20T10:00:00Z',
},
],
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toHaveLength(1);
expect(items[0].timestamp).toBe('2026-04-20T10:00:00.000Z');
});
it('falls back to link timestamp when transcriptStart is absent', async () => {
const perspective = createSequentialMockPerspective([
() => [{ id: 'msg-2' }],
() => [],
() => [
{
id: 'msg-2',
author: 'did:test:bob',
timestamp: '2026-04-20T10:05:00Z',
type: 'flux://has_message',
body: 'Typed message',
},
],
]);
const channel = new Channel(perspective as any, 'channel-1');
const items = await channel.unprocessedItems();
expect(items).toHaveLength(1);
expect(items[0].timestamp).toBe('2026-04-20T10:05:00.000Z');
});
});