glass/src/features/ask/repositories/firebase.repository.js
Ho Jin Yu 7d33ea9ca8
[Refactor] full refactor and file structure changed (#125)
* refactoring the bridge

* Update aec submodule

* folder structure refactor

* fixing ask logic

* resolve import err

* fix askview

* fix header content html path

* fix systemaudiodump path

* centralized ask logic

* delete legacy code

* change askservice to class

* settingsService facade

* fix getCurrentModelInfo

* common service ipc moved to featureBridge

* featureBridge init

* ui fix

* add featureBridge func for listenservice

* fix preload conflict

* shortcuts seperated

* refactor ask

* transfer roles from askview to askservice

* modifying windowBridge

* delete legacy ask code

* retrieve conversation history for askserice

* fix legacy code

* shortcut moved

* change naming for featurebridge

* screenshot moved from windowManager

* rough refactor done

---------

Co-authored-by: sanio <sanio@pickle.com>
Co-authored-by: jhyang0 <junhyuck0819@gmail.com>
2025-07-13 15:31:24 +09:00

38 lines
1.3 KiB
JavaScript

const { collection, addDoc, query, getDocs, orderBy, Timestamp } = require('firebase/firestore');
const { getFirestoreInstance } = require('../../common/services/firebaseClient');
const { createEncryptedConverter } = require('../../common/repositories/firestoreConverter');
const aiMessageConverter = createEncryptedConverter(['content']);
function aiMessagesCol(sessionId) {
if (!sessionId) throw new Error("Session ID is required to access AI messages.");
const db = getFirestoreInstance();
return collection(db, `sessions/${sessionId}/ai_messages`).withConverter(aiMessageConverter);
}
async function addAiMessage({ uid, sessionId, role, content, model = 'unknown' }) {
const now = Timestamp.now();
const newMessage = {
uid, // To identify the author of the message
session_id: sessionId,
sent_at: now,
role,
content,
model,
created_at: now,
};
const docRef = await addDoc(aiMessagesCol(sessionId), newMessage);
return { id: docRef.id };
}
async function getAllAiMessagesBySessionId(sessionId) {
const q = query(aiMessagesCol(sessionId), orderBy('sent_at', 'asc'));
const querySnapshot = await getDocs(q);
return querySnapshot.docs.map(doc => doc.data());
}
module.exports = {
addAiMessage,
getAllAiMessagesBySessionId,
};