Files
longhaul.cpp/tools/ui/tests/unit/parse-toolcalls-memo.test.ts
2026-07-29 01:00:10 -05:00

147 lines
5.2 KiB
TypeScript

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