Convert AiClassifier to ES module

This commit is contained in:
Jordan Wages 2025-06-25 00:24:59 -05:00
commit 83166c8c4f
5 changed files with 69 additions and 77 deletions

View file

@ -17,12 +17,8 @@ let AiClassifier;
logger = await import(browser.runtime.getURL("logger.js"));
logger.aiLog("background.js loaded ready to classify", {debug: true});
try {
if (typeof ChromeUtils !== "undefined") {
({ AiClassifier } = ChromeUtils.import("resource://aifilter/modules/AiClassifier.jsm"));
logger.aiLog("AiClassifier imported", {debug: true});
} else {
logger.aiLog("ChromeUtils is undefined, skipping AiClassifier import", {level: 'warn'});
}
AiClassifier = await import(browser.runtime.getURL('modules/AiClassifier.js'));
logger.aiLog("AiClassifier imported", {debug: true});
} catch (e) {
logger.aiLog("failed to import AiClassifier", {level: 'error'}, e);
}

View file

@ -36,7 +36,7 @@ var aiFilter = class extends ExtensionCommon.ExtensionAPI {
setDebug = loggerMod.setDebug;
// Now that the resource URL is registered, import the classifier
({ AiClassifier } = ChromeUtils.import("resource://aifilter/modules/AiClassifier.jsm"));
AiClassifier = ChromeUtils.importESModule("resource://aifilter/modules/AiClassifier.js");
aiLog("[api] onStartup()", {debug: true});

View file

@ -1,10 +1,6 @@
"use strict";
var { Services } = globalThis || ChromeUtils.importESModule("resource://gre/modules/Services.sys.mjs");
var { NetUtil } = ChromeUtils.importESModule("resource://gre/modules/NetUtil.sys.mjs");
var { FileUtils } = ChromeUtils.importESModule("resource://gre/modules/FileUtils.sys.mjs");
var { aiLog, setDebug } = ChromeUtils.import("resource://aifilter/modules/logger.jsm");
var EXPORTED_SYMBOLS = ["AiClassifier"];
import { aiLog, setDebug } from "../logger.js";
const { Services } = globalThis || ChromeUtils.importESModule("resource://gre/modules/Services.sys.mjs");
const SYSTEM_PREFIX = `You are an email-classification assistant.
Read the email below and the classification criterion provided by the user.
@ -41,36 +37,22 @@ let gAiParams = {
let gCache = new Map();
let gCacheLoaded = false;
let gCacheFile;
function ensureCacheFile() {
if (!gCacheFile) {
gCacheFile = Services.dirsvc.get("ProfD", Ci.nsIFile);
gCacheFile.append("aifilter_cache.json");
}
}
function loadCache() {
async function loadCache() {
if (gCacheLoaded) {
return;
}
ensureCacheFile();
aiLog(`[AiClassifier] Loading cache from ${gCacheFile.path}`, {debug: true});
aiLog(`[AiClassifier] Loading cache`, {debug: true});
try {
if (gCacheFile.exists()) {
let stream = Cc["@mozilla.org/network/file-input-stream;1"].createInstance(Ci.nsIFileInputStream);
stream.init(gCacheFile, -1, 0, 0);
let data = NetUtil.readInputStreamToString(stream, stream.available());
stream.close();
aiLog(`[AiClassifier] Cache file contents: ${data}`, {debug: true});
let obj = JSON.parse(data);
for (let [k, v] of Object.entries(obj)) {
const { aiCache } = await browser.storage.local.get("aiCache");
if (aiCache) {
for (let [k, v] of Object.entries(aiCache)) {
aiLog(`[AiClassifier] ⮡ Loaded entry '${k}' → ${v}`, {debug: true});
gCache.set(k, v);
}
aiLog(`[AiClassifier] Loaded ${gCache.size} cache entries`, {debug: true});
} else {
aiLog(`[AiClassifier] Cache file does not exist`, {debug: true});
aiLog(`[AiClassifier] Cache is empty`, {debug: true});
}
} catch (e) {
aiLog(`Failed to load cache`, {level: 'error'}, e);
@ -78,36 +60,33 @@ function loadCache() {
gCacheLoaded = true;
}
function saveCache(updatedKey, updatedValue) {
ensureCacheFile();
aiLog(`[AiClassifier] Saving cache to ${gCacheFile.path}`, {debug: true});
function loadCacheSync() {
if (!gCacheLoaded) {
let done = false;
loadCache().finally(() => { done = true; });
Services.tm.spinEventLoopUntil(() => done);
}
}
async function saveCache(updatedKey, updatedValue) {
if (typeof updatedKey !== "undefined") {
aiLog(`[AiClassifier] ⮡ Persisting entry '${updatedKey}' → ${updatedValue}`, {debug: true});
}
try {
let obj = Object.fromEntries(gCache);
let data = JSON.stringify(obj);
let stream = Cc["@mozilla.org/network/file-output-stream;1"].createInstance(Ci.nsIFileOutputStream);
stream.init(gCacheFile,
FileUtils.MODE_WRONLY | FileUtils.MODE_CREATE | FileUtils.MODE_TRUNCATE,
FileUtils.PERMS_FILE,
0);
stream.write(data, data.length);
stream.close();
await browser.storage.local.set({ aiCache: Object.fromEntries(gCache) });
} catch (e) {
aiLog(`Failed to save cache`, {level: 'error'}, e);
}
}
function loadTemplate(name) {
async function loadTemplate(name) {
try {
let url = `resource://aifilter/prompt_templates/${name}.txt`;
let xhr = new XMLHttpRequest();
xhr.open("GET", url, false);
xhr.overrideMimeType("text/plain");
xhr.send();
if (xhr.status === 0 || xhr.status === 200) {
return xhr.responseText;
const url = typeof browser !== "undefined" && browser.runtime?.getURL
? browser.runtime.getURL(`prompt_templates/${name}.txt`)
: `resource://aifilter/prompt_templates/${name}.txt`;
const res = await fetch(url);
if (res.ok) {
return await res.text();
}
} catch (e) {
aiLog(`Failed to load template '${name}':`, {level: 'error'}, e);
@ -115,6 +94,14 @@ function loadTemplate(name) {
return "";
}
function loadTemplateSync(name) {
let text = "";
let done = false;
loadTemplate(name).then(t => { text = t; }).catch(() => {}).finally(() => { done = true; });
Services.tm.spinEventLoopUntil(() => done);
return text;
}
function setConfig(config = {}) {
if (config.endpoint) {
gEndpoint = config.endpoint;
@ -138,7 +125,7 @@ function setConfig(config = {}) {
if (typeof config.debugLogging === "boolean") {
setDebug(config.debugLogging);
}
gTemplateText = gTemplateName === "custom" ? gCustomTemplate : loadTemplate(gTemplateName);
gTemplateText = gTemplateName === "custom" ? gCustomTemplate : loadTemplateSync(gTemplateName);
aiLog(`[AiClassifier] Endpoint set to ${gEndpoint}`, {debug: true});
aiLog(`[AiClassifier] Template set to ${gTemplateName}`, {debug: true});
}
@ -154,12 +141,12 @@ function buildPrompt(body, criterion) {
email: body,
query: criterion,
};
let template = gTemplateText || loadTemplate(gTemplateName);
let template = gTemplateText || loadTemplateSync(gTemplateName);
return template.replace(/{{\s*(\w+)\s*}}/g, (m, key) => data[key] || "");
}
function getCachedResult(cacheKey) {
loadCache();
loadCacheSync();
if (cacheKey && gCache.has(cacheKey)) {
aiLog(`[AiClassifier] Cache hit for key: ${cacheKey}`, {debug: true});
return gCache.get(cacheKey);
@ -202,26 +189,33 @@ function classifyTextSync(text, criterion, cacheKey = null) {
aiLog(`[AiClassifier] Sending classification request to ${gEndpoint}`, {debug: true});
let matched = false;
try {
let xhr = new XMLHttpRequest();
xhr.open("POST", gEndpoint, false);
xhr.setRequestHeader("Content-Type", "application/json");
xhr.send(payload);
if (xhr.status >= 200 && xhr.status < 300) {
const result = JSON.parse(xhr.responseText);
aiLog(`[AiClassifier] Received response:`, {debug: true}, result);
matched = parseMatch(result);
cacheResult(cacheKey, matched);
} else {
aiLog(`HTTP status ${xhr.status}`, {level: 'warn'});
let result;
let done = false;
(async () => {
try {
const response = await fetch(gEndpoint, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: payload,
});
if (response.ok) {
const json = await response.json();
aiLog(`[AiClassifier] Received response:`, {debug: true}, json);
result = parseMatch(json);
cacheResult(cacheKey, result);
} else {
aiLog(`HTTP status ${response.status}`, {level: 'warn'});
result = false;
}
} catch (e) {
aiLog(`HTTP request failed`, {level: 'error'}, e);
result = false;
} finally {
done = true;
}
} catch (e) {
aiLog(`HTTP request failed`, {level: 'error'}, e);
}
return matched;
})();
Services.tm.spinEventLoopUntil(() => done);
return result;
}
async function classifyText(text, criterion, cacheKey = null) {
@ -257,4 +251,4 @@ async function classifyText(text, criterion, cacheKey = null) {
}
}
var AiClassifier = { classifyText, classifyTextSync, setConfig };
export { classifyText, classifyTextSync, setConfig };

View file

@ -3,7 +3,7 @@ var { ExtensionParent } = ChromeUtils.importESModule("resource://gre/modules/Ext
var { MailServices } = ChromeUtils.importESModule("resource:///modules/MailServices.sys.mjs");
var { Services } = globalThis || ChromeUtils.importESModule("resource://gre/modules/Services.sys.mjs");
var { aiLog } = ChromeUtils.import("resource://aifilter/modules/logger.jsm");
var { AiClassifier } = ChromeUtils.import("resource://aifilter/modules/AiClassifier.jsm");
var AiClassifier = ChromeUtils.importESModule("resource://aifilter/modules/AiClassifier.js");
var { getPlainText } = ChromeUtils.import("resource://aifilter/modules/messageUtils.jsm");
function sha256Hex(str) {

View file

@ -1,5 +1,6 @@
document.addEventListener('DOMContentLoaded', async () => {
const logger = await import(browser.runtime.getURL('logger.js'));
const AiClassifier = await import(browser.runtime.getURL('modules/AiClassifier.js'));
const defaults = await browser.storage.local.get([
'endpoint',
'templateName',
@ -88,6 +89,7 @@ document.addEventListener('DOMContentLoaded', async () => {
await browser.storage.local.set({ endpoint, templateName, customTemplate: customTemplateText, customSystemPrompt, aiParams: aiParamsSave, debugLogging });
try {
await browser.aiFilter.initConfig({ endpoint, templateName, customTemplate: customTemplateText, customSystemPrompt, aiParams: aiParamsSave, debugLogging });
AiClassifier.setConfig({ endpoint, templateName, customTemplate: customTemplateText, customSystemPrompt, aiParams: aiParamsSave, debugLogging });
logger.setDebug(debugLogging);
} catch (e) {
logger.aiLog('[options] failed to apply config', {level: 'error'}, e);