147 lines
5.2 KiB
TypeScript
147 lines
5.2 KiB
TypeScript
// Tests for the memoized parseToolCalls and O(1) tool message lookup in
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// deriveAgenticSections. These were added to prevent regressions where
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// streaming text tokens trigger redundant JSON.parse calls on unchanged
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// tool call data.
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import { describe, it, expect, vi } from 'vitest';
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import { deriveAgenticSections } from '$lib/utils/agentic';
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import type { ApiChatCompletionToolCall } from '$lib/types/api';
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import type { DatabaseMessage } from '$lib/types/database';
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import { MessageRole, AgenticSectionType } from '$lib/enums';
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function makeMessage(overrides: Partial<DatabaseMessage>): DatabaseMessage {
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return {
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id: 'm1',
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convId: 'c1',
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type: 'text',
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timestamp: 0,
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role: MessageRole.ASSISTANT,
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content: '',
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parent: null,
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children: [],
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...overrides
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} as DatabaseMessage;
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}
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describe('parseToolCalls memoization', () => {
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it('returns the same array reference for the same JSON string', () => {
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// parseToolCalls is not exported, but deriveAgenticSections uses it
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// internally. We verify memoization through behavior: calling
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// deriveAgenticSections twice with the same toolCalls should not
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// re-parse (which we verify by checking the returned sections
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// are equivalent).
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const toolCallsJson = JSON.stringify([
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{ id: 'call_1', type: 'function', function: { name: 'test', arguments: '{}' } }
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]);
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const msg = makeMessage({ content: 'hello', toolCalls: toolCallsJson });
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const sections1 = deriveAgenticSections(msg, [], [], false);
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const sections2 = deriveAgenticSections(msg, [], [], false);
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expect(sections1).toHaveLength(sections2.length);
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expect(sections1[0].type).toBe(sections2[0].type);
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});
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it('does not re-parse JSON on cache hit', () => {
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const toolCallsJson = JSON.stringify([
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{ id: 'call_1', type: 'function', function: { name: 'test', arguments: '{}' } }
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]);
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const msg = makeMessage({ content: 'hello', toolCalls: toolCallsJson });
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const spy = vi.spyOn(JSON, 'parse');
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deriveAgenticSections(msg, [], [], false);
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const callsAfterFirst = spy.mock.calls.length;
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deriveAgenticSections(msg, [], [], false);
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expect(spy.mock.calls.length).toBe(callsAfterFirst);
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spy.mockRestore();
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});
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it('handles empty/undefined toolCalls without error', () => {
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const msg = makeMessage({ content: 'hello' });
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const sections = deriveAgenticSections(msg, [], [], false);
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expect(sections).toHaveLength(1);
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expect(sections[0].type).toBe(AgenticSectionType.TEXT);
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});
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it('handles invalid JSON gracefully', () => {
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const msg = makeMessage({ content: 'hello', toolCalls: '{invalid' });
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const sections = deriveAgenticSections(msg, [], [], false);
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// Should return just the text section, no tool call sections
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expect(sections).toHaveLength(1);
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expect(sections[0].type).toBe(AgenticSectionType.TEXT);
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});
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});
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describe('deriveAgenticSections O(1) tool message lookup', () => {
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it('matches tool messages to tool calls by toolCallId', () => {
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const toolCallsJson = JSON.stringify([
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{ id: 'call_1', type: 'function', function: { name: 'test_1', arguments: '{}' } },
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{ id: 'call_2', type: 'function', function: { name: 'test_2', arguments: '{}' } }
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]);
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const toolMessages = [
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makeMessage({ role: MessageRole.TOOL, toolCallId: 'call_1', content: 'result_1' }),
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makeMessage({ role: MessageRole.TOOL, toolCallId: 'call_2', content: 'result_2' })
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];
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const msg = makeMessage({ content: 'hello', toolCalls: toolCallsJson });
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const sections = deriveAgenticSections(msg, toolMessages, [], false);
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// Expect: TEXT + 2 TOOL_CALL sections
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const toolCallSections = sections.filter((s) => s.type === AgenticSectionType.TOOL_CALL);
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expect(toolCallSections).toHaveLength(2);
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expect(toolCallSections[0].toolResult).toBe('result_1');
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expect(toolCallSections[1].toolResult).toBe('result_2');
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});
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it('handles missing tool messages (pending calls during streaming)', () => {
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const toolCallsJson = JSON.stringify([
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{ id: 'call_1', type: 'function', function: { name: 'test', arguments: '{}' } }
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]);
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const msg = makeMessage({ content: '', toolCalls: toolCallsJson });
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const sections = deriveAgenticSections(msg, [], [], true);
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const toolCallSection = sections.find((s) => s.type === AgenticSectionType.TOOL_CALL_PENDING);
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expect(toolCallSection).toBeDefined();
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expect(toolCallSection?.content).toBe('');
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});
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it('scales with many tool calls (no O(n^2) blowup)', () => {
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const N = 100;
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const toolCalls = Array.from(
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{ length: N },
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(_, i): ApiChatCompletionToolCall => ({
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id: `call_${i}`,
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type: 'function',
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function: { name: `tool_${i}`, arguments: '{}' }
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})
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);
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const toolCallsJson = JSON.stringify(toolCalls);
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const toolMessages = Array.from({ length: N }, (_, i) =>
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makeMessage({
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role: MessageRole.TOOL,
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toolCallId: `call_${i}`,
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content: `result_${i}`
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})
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);
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const msg = makeMessage({ content: 'hello', toolCalls: toolCallsJson });
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// If the lookup were still O(n^2), this would be noticeably slow
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const start = Date.now();
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const sections = deriveAgenticSections(msg, toolMessages, [], false);
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const elapsed = Date.now() - start;
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const toolCallSections = sections.filter((s) => s.type === AgenticSectionType.TOOL_CALL);
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expect(toolCallSections).toHaveLength(N);
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expect(elapsed).toBeLessThan(100); // Should be fast with O(1) lookup
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});
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});
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