- Fix chunk_status: pass chunk_status/chunk/metadata to context builder - Fix vector search: scope by node_id BEFORE similarity search - Add eval logging system (RAH_EVALS_LOG=1) - Add eval dashboard at /evals - Add vitest for testing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
259 lines
7.5 KiB
TypeScript
259 lines
7.5 KiB
TypeScript
import fs from 'fs';
|
|
import path from 'path';
|
|
import Database from 'better-sqlite3';
|
|
import { randomUUID } from 'crypto';
|
|
import { scenarios } from './scenarios';
|
|
import { Scenario } from './types';
|
|
|
|
type EvalChatRow = {
|
|
trace_id: string;
|
|
scenario_id: string;
|
|
assistant_message: string | null;
|
|
latency_ms: number | null;
|
|
input_tokens: number | null;
|
|
output_tokens: number | null;
|
|
total_tokens: number | null;
|
|
};
|
|
|
|
type EvalToolCallRow = {
|
|
tool_name: string;
|
|
};
|
|
|
|
type EvalResult = {
|
|
scenario: string;
|
|
passed: boolean;
|
|
failures: string[];
|
|
warnings: string[];
|
|
latencyMs?: number | null;
|
|
};
|
|
|
|
const BASE_URL = process.env.RAH_EVALS_BASE_URL || 'http://localhost:3000';
|
|
const DATASET_ENV = process.env.RAH_EVALS_DATASET_ID;
|
|
const LOG_DB_PATH = path.join(process.cwd(), 'logs', 'evals.sqlite');
|
|
const RAH_DB_PATH = process.env.SQLITE_DB_PATH || path.join(
|
|
process.env.HOME || '~',
|
|
'Library/Application Support/RA-H/db/rah.sqlite'
|
|
);
|
|
|
|
function loadDatasetId() {
|
|
if (DATASET_ENV) return DATASET_ENV;
|
|
const datasetPath = path.join(process.cwd(), 'tests', 'evals', 'dataset.json');
|
|
const raw = fs.readFileSync(datasetPath, 'utf-8');
|
|
const parsed = JSON.parse(raw);
|
|
return parsed.id || 'default';
|
|
}
|
|
|
|
function resolveFocusedNodeId(query: Scenario['input']['focusedNodeQuery']): number | null {
|
|
if (!query) return null;
|
|
if (!fs.existsSync(RAH_DB_PATH)) return null;
|
|
const db = new Database(RAH_DB_PATH, { readonly: true, fileMustExist: true });
|
|
if (query.titleEquals) {
|
|
const row = db.prepare(`
|
|
SELECT id
|
|
FROM nodes
|
|
WHERE title = ?
|
|
ORDER BY datetime(created_at) DESC
|
|
LIMIT 1
|
|
`).get(query.titleEquals) as { id?: number } | undefined;
|
|
return row?.id ?? null;
|
|
}
|
|
if (query.titleContains) {
|
|
const row = db.prepare(`
|
|
SELECT id
|
|
FROM nodes
|
|
WHERE title LIKE ?
|
|
ORDER BY datetime(created_at) DESC
|
|
LIMIT 1
|
|
`).get(`%${query.titleContains}%`) as { id?: number } | undefined;
|
|
return row?.id ?? null;
|
|
}
|
|
return null;
|
|
}
|
|
|
|
async function drainResponse(response: Response) {
|
|
if (!response.body) return;
|
|
const reader = response.body.getReader();
|
|
const decoder = new TextDecoder();
|
|
while (true) {
|
|
const { value, done } = await reader.read();
|
|
if (done) break;
|
|
decoder.decode(value, { stream: true });
|
|
}
|
|
}
|
|
|
|
function openEvalDb() {
|
|
if (!fs.existsSync(LOG_DB_PATH)) {
|
|
return null;
|
|
}
|
|
return new Database(LOG_DB_PATH, { readonly: true, fileMustExist: true });
|
|
}
|
|
|
|
function getEvalChatRow(db: Database.Database, traceId: string, scenarioId: string) {
|
|
return db.prepare(`
|
|
SELECT trace_id, scenario_id, assistant_message, latency_ms, input_tokens, output_tokens, total_tokens
|
|
FROM llm_chats
|
|
WHERE trace_id = ? AND scenario_id = ?
|
|
ORDER BY id DESC
|
|
LIMIT 1
|
|
`).get(traceId, scenarioId) as EvalChatRow | undefined;
|
|
}
|
|
|
|
function getEvalToolCalls(db: Database.Database, traceId: string, scenarioId: string) {
|
|
return db.prepare(`
|
|
SELECT tool_name
|
|
FROM tool_calls
|
|
WHERE trace_id = ? AND scenario_id = ?
|
|
`).all(traceId, scenarioId) as EvalToolCallRow[];
|
|
}
|
|
|
|
async function waitForEvalRow(traceId: string, scenarioId: string, timeoutMs = 10000) {
|
|
const startedAt = Date.now();
|
|
while (Date.now() - startedAt < timeoutMs) {
|
|
const db = openEvalDb();
|
|
if (db) {
|
|
const row = getEvalChatRow(db, traceId, scenarioId);
|
|
if (row) return { row, db };
|
|
}
|
|
await new Promise(resolve => setTimeout(resolve, 200));
|
|
}
|
|
return { row: undefined, db: null };
|
|
}
|
|
|
|
function normalizeContains(text: string) {
|
|
return text.toLowerCase();
|
|
}
|
|
|
|
function checkScenario(
|
|
scenario: Scenario,
|
|
chatRow: EvalChatRow,
|
|
toolCalls: EvalToolCallRow[]
|
|
): EvalResult {
|
|
const failures: string[] = [];
|
|
const warnings: string[] = [];
|
|
const expect = scenario.expect || {};
|
|
const toolNames = toolCalls.map(call => call.tool_name);
|
|
const responseText = chatRow.assistant_message || '';
|
|
|
|
(expect.toolsCalled || []).forEach(tool => {
|
|
if (!toolNames.includes(tool)) {
|
|
failures.push(`Expected tool "${tool}" not called`);
|
|
}
|
|
});
|
|
|
|
(expect.toolsCalledSoft || []).forEach(tool => {
|
|
if (!toolNames.includes(tool)) {
|
|
warnings.push(`(soft) Expected tool "${tool}" not called`);
|
|
}
|
|
});
|
|
|
|
(expect.responseContains || []).forEach(text => {
|
|
if (!normalizeContains(responseText).includes(normalizeContains(text))) {
|
|
failures.push(`Response missing "${text}"`);
|
|
}
|
|
});
|
|
|
|
(expect.responseContainsSoft || []).forEach(text => {
|
|
if (!normalizeContains(responseText).includes(normalizeContains(text))) {
|
|
warnings.push(`(soft) Response missing "${text}"`);
|
|
}
|
|
});
|
|
|
|
(expect.responseNotContains || []).forEach(text => {
|
|
if (normalizeContains(responseText).includes(normalizeContains(text))) {
|
|
failures.push(`Response should not contain "${text}"`);
|
|
}
|
|
});
|
|
|
|
if (typeof expect.maxLatencyMs === 'number' && chatRow.latency_ms !== null) {
|
|
if (chatRow.latency_ms > expect.maxLatencyMs) {
|
|
failures.push(`Latency ${chatRow.latency_ms}ms exceeded ${expect.maxLatencyMs}ms`);
|
|
}
|
|
}
|
|
|
|
return {
|
|
scenario: scenario.name,
|
|
passed: failures.length === 0,
|
|
failures,
|
|
warnings,
|
|
latencyMs: chatRow.latency_ms,
|
|
};
|
|
}
|
|
|
|
async function runScenario(scenario: Scenario, datasetId: string): Promise<EvalResult> {
|
|
const traceId = `eval_${Date.now()}_${randomUUID().slice(0, 8)}`;
|
|
const resolvedFocusedNodeId =
|
|
scenario.input.focusedNodeId ?? resolveFocusedNodeId(scenario.input.focusedNodeQuery);
|
|
const response = await fetch(`${BASE_URL}/api/rah/chat`, {
|
|
method: 'POST',
|
|
headers: { 'Content-Type': 'application/json' },
|
|
body: JSON.stringify({
|
|
messages: [{ role: 'user', content: scenario.input.message }],
|
|
openTabs: [],
|
|
activeTabId: resolvedFocusedNodeId ?? null,
|
|
currentView: 'nodes',
|
|
mode: scenario.input.mode ?? 'easy',
|
|
traceId,
|
|
evals: {
|
|
datasetId,
|
|
scenarioId: scenario.id,
|
|
},
|
|
}),
|
|
});
|
|
|
|
if (!response.ok) {
|
|
return {
|
|
scenario: scenario.name,
|
|
passed: false,
|
|
failures: [`HTTP ${response.status} from /api/rah/chat`],
|
|
warnings: [],
|
|
};
|
|
}
|
|
|
|
await drainResponse(response);
|
|
|
|
const { row, db } = await waitForEvalRow(traceId, scenario.id);
|
|
if (!row) {
|
|
return {
|
|
scenario: scenario.name,
|
|
passed: false,
|
|
failures: ['Timed out waiting for eval logs'],
|
|
warnings: [],
|
|
};
|
|
}
|
|
|
|
const toolCalls = db ? getEvalToolCalls(db, traceId, scenario.id) : [];
|
|
return checkScenario(scenario, row, toolCalls);
|
|
}
|
|
|
|
async function runAll() {
|
|
const datasetId = loadDatasetId();
|
|
console.log(`Running ${scenarios.length} scenarios (dataset: ${datasetId})...\n`);
|
|
|
|
const results: EvalResult[] = [];
|
|
for (const scenario of scenarios.filter(s => s.enabled !== false)) {
|
|
const result = await runScenario(scenario, datasetId);
|
|
results.push(result);
|
|
const icon = result.passed ? '✓' : '✗';
|
|
const latency = result.latencyMs ? ` (${result.latencyMs}ms)` : '';
|
|
console.log(`${icon} ${result.scenario}${latency}`);
|
|
result.failures.forEach(failure => console.log(` - ${failure}`));
|
|
result.warnings.forEach(warning => console.log(` - ${warning}`));
|
|
}
|
|
|
|
const failed = results.filter(result => !result.passed);
|
|
const warnings = results.filter(result => result.warnings.length > 0);
|
|
console.log('\nSummary');
|
|
console.log(`- Passed: ${results.length - failed.length}`);
|
|
console.log(`- Failed: ${failed.length}`);
|
|
console.log(`- With warnings: ${warnings.length}`);
|
|
|
|
if (failed.length > 0) {
|
|
process.exit(1);
|
|
}
|
|
}
|
|
|
|
runAll().catch(error => {
|
|
console.error('Eval runner failed:', error);
|
|
process.exit(1);
|
|
});
|