Sortana/modules/AiClassifier.js

209 lines
10 KiB
JavaScript

"use strict";
import { aiLog, setDebug } from '../logger.js';
import { CONFIG_DEFAULTS, validateSettings, validateThreshold } from './classificationConfig.js';
import * as chat from './backends/chatCompletions.js';
import * as systemone from './backends/systemOne.js';
const storage = (globalThis.messenger ?? globalThis.browser).storage;
const adapters = { 'chat-completions': chat, systemone };
let config = structuredClone(CONFIG_DEFAULTS);
let cache = new Map();
let loaded = false;
let loading;
let generation = 0;
export function normalizeEndpointBase(endpoint) {
if (typeof endpoint !== 'string' || !endpoint.trim()) return '';
return endpoint.trim().replace(/\/+$/, '').replace(/\/v1(?:\/(?:chat\/completions|completions|models|systemone))?$/i, '');
}
function urlFor(endpoint, path) {
const base = normalizeEndpointBase(endpoint);
return base ? `${/^https?:\/\//i.test(base) ? base : `https://${base}`}${path}` : '';
}
export function buildEndpointUrl(endpoint, apiType = 'chat-completions') {
if (!adapters[apiType]) throw new Error('Unknown API type.');
return urlFor(endpoint, adapters[apiType].path);
}
export function buildModelsUrl(endpoint) { return urlFor(endpoint, '/v1/models'); }
export function getConfig() { return structuredClone(config); }
export function setConfig(update = {}) {
validateSettings(update);
for (const key of Object.keys(CONFIG_DEFAULTS)) {
if (update[key] !== undefined) config[key] = structuredClone(update[key]);
}
config.aiParams = { ...CONFIG_DEFAULTS.aiParams, ...config.aiParams };
for (const key of ['model', 'apiKey', 'openaiOrganization', 'openaiProject']) config[key] = String(config[key]).trim();
setDebug(config.debugLogging);
}
async function hash(value) {
const digest = await crypto.subtle.digest('SHA-256', new TextEncoder().encode(value));
return Array.from(new Uint8Array(digest), b => b.toString(16).padStart(2, '0')).join('');
}
async function messageHash(id) {
const api = globalThis.messenger ?? globalThis.browser;
if (typeof id === 'number' && api.messages?.get) {
const header = await api.messages.get(id);
id = header.headerMessageId || id;
}
return hash(String(id));
}
function stable(value) {
if (Array.isArray(value)) return value.map(stable);
if (value && typeof value === 'object') return Object.fromEntries(Object.keys(value).sort().map(k => [k, stable(value[k])]));
return value;
}
export async function buildCacheKey(id, criterion, snapshot = getConfig()) {
const fingerprint = {
backend: snapshot.apiType, endpoint: buildEndpointUrl(snapshot.endpoint, snapshot.apiType),
request: adapters[snapshot.apiType].buildRequest('', criterion, snapshot),
organization: snapshot.apiType === 'chat-completions' ? snapshot.openaiOrganization : '',
project: snapshot.apiType === 'chat-completions' ? snapshot.openaiProject : '',
preprocessing: Object.fromEntries(['htmlToMarkdown', 'stripUrlParams', 'altTextImages', 'collapseWhitespace', 'tokenReduction', 'inputCharacterLimit'].map(k => [k, snapshot[k]]))
};
return `v2:${await messageHash(id)}:${await hash(JSON.stringify(stable(fingerprint)))}`;
}
export function validCacheEntry(key, entry) {
return /^v2:[a-f0-9]{64}:[a-f0-9]{64}$/.test(key) && entry?.version === 2 &&
entry.messageHash === key.split(':')[1] && typeof entry.model === 'string' &&
(entry.backend === 'systemone'
? typeof entry.probability === 'number' && Number.isFinite(entry.probability) && entry.probability >= 0 && entry.probability <= 1 && entry.reason === null
: entry.backend === 'chat-completions' && typeof entry.matched === 'boolean' && entry.probability === null && (entry.reason === null || typeof entry.reason === 'string'));
}
export function replaceCache(data = {}) {
cache = new Map(Object.entries(data || {}).filter(([key, entry]) => validCacheEntry(key, entry)));
loaded = true;
generation++;
}
async function saveCache() { await storage.local.set({ aiCache: Object.fromEntries(cache) }); }
export async function init() {
if (loaded) return;
if (!loading) loading = (async () => {
const { aiCache = {}, aiReasonCache } = await storage.local.get(['aiCache', 'aiReasonCache']);
replaceCache(aiCache);
if (Object.keys(aiCache || {}).length !== cache.size) await saveCache();
if (aiReasonCache !== undefined) await storage.local.remove('aiReasonCache');
})().finally(() => { loading = null; });
await loading;
}
function withPolicy(entry, threshold) {
const isDecision = entry.backend === 'systemone';
if (isDecision) validateThreshold(threshold);
return { matched: isDecision ? entry.probability >= threshold : entry.matched,
reason: entry.reason, probability: entry.probability, threshold: isDecision ? threshold : null,
backend: entry.backend, model: entry.model };
}
export function getCachedDetails(key, threshold = config.decisionThreshold) {
const entry = cache.get(key);
return entry ? withPolicy(entry, threshold) : null;
}
export function getCachedResult(key, threshold) { return getCachedDetails(key, threshold)?.matched ?? null; }
export function getReason(key) { return cache.get(key)?.reason ?? null; }
async function sendRequest(payload, snapshot) {
try { await storage.local.set({ lastPayload: payload }); }
catch (error) { aiLog('Failed to save last payload', { level: 'warn' }, error); }
const headers = { 'Content-Type': 'application/json' };
if (snapshot.apiKey) headers.Authorization = `Bearer ${snapshot.apiKey}`;
if (snapshot.apiType === 'chat-completions') {
if (snapshot.openaiOrganization) headers['OpenAI-Organization'] = snapshot.openaiOrganization;
if (snapshot.openaiProject) headers['OpenAI-Project'] = snapshot.openaiProject;
}
const endpoint = buildEndpointUrl(snapshot.endpoint, snapshot.apiType);
const response = await fetch(endpoint, { method: 'POST', headers, body: JSON.stringify(payload) });
if (!response.ok) {
let detail = '';
try {
const body = await response.json();
const message = body?.error?.message;
if (typeof message === 'string') detail = ` Server response: ${message.slice(0, 300)}.`;
} catch { /* Non-JSON error responses still report the URL and status. */ }
const hint = response.status === 404 && snapshot.apiType === 'systemone'
? ' Verify that the running server build supports /v1/systemone and the selected decision model.' : '';
throw new Error(`Classification request failed: HTTP ${response.status} at ${endpoint}.${detail}${hint}`);
}
return response.json();
}
export async function classify(text, criterion, { cacheKey = null, snapshot = getConfig(), threshold = snapshot.decisionThreshold } = {}) {
await init();
if (snapshot.apiType === 'systemone') validateThreshold(threshold);
const cached = getCachedDetails(cacheKey, threshold);
if (cached) return cached;
const epoch = generation;
const adapter = adapters[snapshot.apiType];
const payload = adapter.buildRequest(text, criterion, snapshot);
const raw = await sendRequest(payload, snapshot);
const entry = { ...adapter.parseResponse(raw), backend: snapshot.apiType,
model: typeof raw.model === 'string' ? raw.model : snapshot.model, version: 2,
messageHash: cacheKey?.split(':')[1] };
if (cacheKey && epoch === generation) {
cache.set(cacheKey, entry);
await saveCache();
}
return withPolicy(entry, threshold);
}
// Yield lazily so the action runner can stop without starting the next request.
// Candidates have precomputed keys, allowing actions to move/delete the message.
export async function* classifyRules(text, candidates, snapshot = getConfig()) {
await init();
validateSettings(snapshot);
if (snapshot.apiType !== 'systemone') {
for (const candidate of candidates) {
const result = await classify(text, candidate.rule.criterion, {
cacheKey: candidate.cacheKey, snapshot,
threshold: candidate.rule.decisionThreshold ?? snapshot.decisionThreshold
});
yield { rule: candidate.rule, result };
}
return;
}
const limit = snapshot.systemOneProcessAll ? Infinity : snapshot.systemOneBatchSize;
// Keep received evidence locally even if persistence is cleared during this run.
const evidence = new Map();
for (const candidate of candidates) {
validateThreshold(candidate.rule.decisionThreshold ?? snapshot.decisionThreshold);
const entry = cache.get(candidate.cacheKey);
if (entry) evidence.set(candidate.cacheKey, entry);
}
for (let index = 0; index < candidates.length; index++) {
const candidate = candidates[index];
if (!evidence.has(candidate.cacheKey)) {
const pending = new Map();
for (let next = index; next < candidates.length && pending.size < limit; next++) {
const item = candidates[next];
if (!evidence.has(item.cacheKey) && !pending.has(item.cacheKey)) {
pending.set(item.cacheKey, { ...item, criterion: item.rule.criterion });
}
}
const questions = [...pending.values()];
const epoch = generation;
const raw = await sendRequest(systemone.buildBatchRequest(text, questions, snapshot), snapshot);
// Parse the complete batch before accepting any of its evidence.
const parsed = systemone.parseBatchResponse(raw, questions);
const entries = questions.map((question, i) => [question.cacheKey, {
...parsed[i], backend: snapshot.apiType, version: 2,
model: typeof raw.model === 'string' ? raw.model : snapshot.model,
messageHash: question.cacheKey.split(':')[1]
}]);
for (const [key, entry] of entries) evidence.set(key, entry);
if (epoch === generation) {
for (const [key, entry] of entries) cache.set(key, entry);
await saveCache();
}
}
yield { rule: candidate.rule, result: withPolicy(evidence.get(candidate.cacheKey),
candidate.rule.decisionThreshold ?? snapshot.decisionThreshold) };
}
}
export async function classifyText(text, criterion, cacheKey = null) { return (await classify(text, criterion, { cacheKey })).matched; }
export async function removeCacheEntries(keys = []) {
await init(); generation++;
for (const key of Array.isArray(keys) ? keys : [keys]) cache.delete(key);
await saveCache();
}
export async function clearCacheForMessage(id) {
await init();
const identifier = await messageHash(id);
await removeCacheEntries([...cache].filter(([, entry]) => entry.messageHash === identifier).map(([key]) => key));
}
export async function clearCache() { await init(); generation++; cache.clear(); await saveCache(); }
export async function getCacheSize() { await init(); return cache.size; }