agent-orchestrator/v2/src/lib/adapters/ollama-messages.test.ts

153 lines
5 KiB
TypeScript

import { describe, it, expect } from 'vitest';
import { adaptOllamaMessage } from './ollama-messages';
describe('adaptOllamaMessage', () => {
describe('system init', () => {
it('maps to init message', () => {
const result = adaptOllamaMessage({
type: 'system',
subtype: 'init',
session_id: 'sess-123',
model: 'qwen3:8b',
cwd: '/home/user/project',
});
expect(result).toHaveLength(1);
expect(result[0].type).toBe('init');
const content = result[0].content as any;
expect(content.sessionId).toBe('sess-123');
expect(content.model).toBe('qwen3:8b');
expect(content.cwd).toBe('/home/user/project');
});
});
describe('system status', () => {
it('maps non-init subtypes to status message', () => {
const result = adaptOllamaMessage({
type: 'system',
subtype: 'model_loaded',
status: 'Model loaded successfully',
});
expect(result).toHaveLength(1);
expect(result[0].type).toBe('status');
expect((result[0].content as any).subtype).toBe('model_loaded');
expect((result[0].content as any).message).toBe('Model loaded successfully');
});
});
describe('chunk — text content', () => {
it('maps streaming text to text message', () => {
const result = adaptOllamaMessage({
type: 'chunk',
message: { role: 'assistant', content: 'Hello world' },
done: false,
});
expect(result).toHaveLength(1);
expect(result[0].type).toBe('text');
expect((result[0].content as any).text).toBe('Hello world');
});
it('ignores empty content', () => {
const result = adaptOllamaMessage({
type: 'chunk',
message: { role: 'assistant', content: '' },
done: false,
});
expect(result).toHaveLength(0);
});
});
describe('chunk — thinking content', () => {
it('maps thinking field to thinking message', () => {
const result = adaptOllamaMessage({
type: 'chunk',
message: { role: 'assistant', content: '', thinking: 'Let me reason about this...' },
done: false,
});
expect(result).toHaveLength(1);
expect(result[0].type).toBe('thinking');
expect((result[0].content as any).text).toBe('Let me reason about this...');
});
it('emits both thinking and text when both present', () => {
const result = adaptOllamaMessage({
type: 'chunk',
message: { role: 'assistant', content: 'Answer', thinking: 'Reasoning' },
done: false,
});
expect(result).toHaveLength(2);
expect(result[0].type).toBe('thinking');
expect(result[1].type).toBe('text');
});
});
describe('chunk — done with token counts', () => {
it('maps final chunk to cost message', () => {
const result = adaptOllamaMessage({
type: 'chunk',
message: { role: 'assistant', content: '' },
done: true,
done_reason: 'stop',
prompt_eval_count: 500,
eval_count: 120,
eval_duration: 2_000_000_000,
total_duration: 3_000_000_000,
});
// Should have cost message (no text since content is empty)
const costMsg = result.find(m => m.type === 'cost');
expect(costMsg).toBeDefined();
const content = costMsg!.content as any;
expect(content.inputTokens).toBe(500);
expect(content.outputTokens).toBe(120);
expect(content.durationMs).toBe(2000);
expect(content.totalCostUsd).toBe(0);
expect(content.isError).toBe(false);
});
it('marks error done_reason as isError', () => {
const result = adaptOllamaMessage({
type: 'chunk',
message: { role: 'assistant', content: '' },
done: true,
done_reason: 'error',
prompt_eval_count: 0,
eval_count: 0,
});
const costMsg = result.find(m => m.type === 'cost');
expect(costMsg).toBeDefined();
expect((costMsg!.content as any).isError).toBe(true);
});
it('includes text + cost when final chunk has content', () => {
const result = adaptOllamaMessage({
type: 'chunk',
message: { role: 'assistant', content: '.' },
done: true,
done_reason: 'stop',
prompt_eval_count: 10,
eval_count: 5,
});
expect(result.some(m => m.type === 'text')).toBe(true);
expect(result.some(m => m.type === 'cost')).toBe(true);
});
});
describe('error event', () => {
it('maps to error message', () => {
const result = adaptOllamaMessage({
type: 'error',
message: 'model not found',
});
expect(result).toHaveLength(1);
expect(result[0].type).toBe('error');
expect((result[0].content as any).message).toBe('model not found');
});
});
describe('unknown event type', () => {
it('maps to unknown message preserving raw data', () => {
const result = adaptOllamaMessage({ type: 'something_else', data: 'test' });
expect(result).toHaveLength(1);
expect(result[0].type).toBe('unknown');
});
});
});