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fix: migrate AI chat system from Firebase/Firestore to Postgres

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Firebase was not configured so every chat request crashed with
'Firebase Admin credentials not configured'.

- chat-mode-resolver.ts: read project phase from fs_projects (Postgres)
- chat-context.ts: load project data from fs_projects instead of Firestore
- /api/ai/conversation: store/retrieve conversations in chat_conversations
  Postgres table (created automatically on first use)
- /api/ai/chat: replace all Firestore reads/writes with Postgres queries
- v_ai_chat/page.tsx: replace Firebase client auth with useSession from
  next-auth/react; remove Firestore listeners, use REST API for project data

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Mark Henderson
2026-02-19 12:07:03 -08:00
parent a281d4d373
commit e3a6641e3c
6 changed files with 193 additions and 350 deletions
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161
app/api/ai/chat/route.ts
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@@ -2,8 +2,7 @@ import { NextResponse } from 'next/server';
import { z } from 'zod';
import { GeminiLlmClient } from '@/lib/ai/gemini-client';
import type { LlmClient } from '@/lib/ai/llm-client';
import { getAdminDb } from '@/lib/firebase/admin';
import { FieldValue } from 'firebase-admin/firestore';
import { query } from '@/lib/db-postgres';
import { MODE_SYSTEM_PROMPTS, ChatMode } from '@/lib/ai/chat-modes';
import { resolveChatMode } from '@/lib/server/chat-mode-resolver';
import {
@@ -48,37 +47,30 @@ interface ChatRequestBody {
overrideMode?: ChatMode;
}
const ENSURE_CONV_TABLE = `
CREATE TABLE IF NOT EXISTS chat_conversations (
project_id text PRIMARY KEY,
messages jsonb NOT NULL DEFAULT '[]',
updated_at timestamptz NOT NULL DEFAULT NOW()
)
`;
async function appendConversation(
projectId: string,
messages: Array<{ role: 'user' | 'assistant'; content: string }>,
newMessages: Array<{ role: 'user' | 'assistant'; content: string }>,
) {
const adminDb = getAdminDb();
const docRef = adminDb.collection('chat_conversations').doc(projectId);
await query(ENSURE_CONV_TABLE);
const now = new Date().toISOString();
const stamped = newMessages.map((m) => ({ ...m, createdAt: now }));
await adminDb.runTransaction(async (tx) => {
const snapshot = await tx.get(docRef);
const existing = (snapshot.exists ? (snapshot.data()?.messages as unknown[]) : []) ?? [];
const now = new Date().toISOString();
const newMessages = messages.map((m) => ({
role: m.role,
content: m.content,
// Use a simple ISO string for message timestamps to avoid FieldValue
// restrictions inside arrays.
createdAt: now,
}));
tx.set(
docRef,
{
projectId,
messages: [...existing, ...newMessages],
updatedAt: FieldValue.serverTimestamp(),
},
{ merge: true },
);
});
await query(
`INSERT INTO chat_conversations (project_id, messages, updated_at)
VALUES ($1, $2::jsonb, NOW())
ON CONFLICT (project_id) DO UPDATE
SET messages = chat_conversations.messages || $2::jsonb,
updated_at = NOW()`,
[projectId, JSON.stringify(stamped)]
);
}
export async function POST(request: Request) {
@@ -91,13 +83,15 @@ export async function POST(request: Request) {
return NextResponse.json({ error: 'projectId and message are required' }, { status: 400 });
}
// Verify project exists
const adminDb = getAdminDb();
const projectSnapshot = await adminDb.collection('projects').doc(projectId).get();
if (!projectSnapshot.exists) {
// Verify project exists in Postgres
const projectRows = await query<{ data: any }>(
`SELECT data FROM fs_projects WHERE id = $1 LIMIT 1`,
[projectId]
);
if (projectRows.length === 0) {
return NextResponse.json({ error: 'Project not found' }, { status: 404 });
}
const projectData = projectSnapshot.data() ?? {};
const projectData = projectRows[0].data ?? {};
// Resolve chat mode (uses new resolver)
const resolvedMode = body.overrideMode ?? await resolveChatMode(projectId);
@@ -138,12 +132,13 @@ ${context.sessionHistory.totalSessions > 0 ? `- Complete Cursor session history
Use this context to provide specific, grounded responses. The session history shows your complete conversation history with the user - use it to understand what has been built and discussed.`;
// Load existing conversation history
const conversationDoc = await adminDb.collection('chat_conversations').doc(projectId).get();
const conversationData = conversationDoc.exists ? conversationDoc.data() : null;
const conversationHistory = Array.isArray(conversationData?.messages)
? conversationData.messages
: [];
// Load existing conversation history from Postgres
await query(ENSURE_CONV_TABLE);
const convRows = await query<{ messages: any[] }>(
`SELECT messages FROM chat_conversations WHERE project_id = $1`,
[projectId]
);
const conversationHistory: any[] = convRows[0]?.messages ?? [];
// Build full message context (history + current message)
const messages = [
@@ -251,10 +246,14 @@ Use this context to provide specific, grounded responses. The session history sh
if (Object.keys(updates).length > 0) {
updates['visionAnswers.updatedAt'] = new Date().toISOString();
await adminDb.collection('projects').doc(projectId).set(updates, { merge: true })
.catch((error) => {
console.error('[ai/chat] Failed to store vision answers', error);
});
await query(
`UPDATE fs_projects
SET data = data || $1::jsonb
WHERE id = $2`,
[JSON.stringify({ visionAnswers: updates }), projectId]
).catch((error) => {
console.error('[ai/chat] Failed to store vision answers', error);
});
}
}
@@ -326,12 +325,17 @@ Use this context to provide specific, grounded responses. The session history sh
timestamp: new Date().toISOString(),
};
// Persist to project phaseData
await adminDb.collection('projects').doc(projectId).set(
{
'phaseData.phaseHandoffs.collector': handoff,
},
{ merge: true }
// Persist to project phaseData in Postgres
await query(
`UPDATE fs_projects
SET data = jsonb_set(
data,
'{phaseData,phaseHandoffs,collector}',
$1::jsonb,
true
)
WHERE id = $2`,
[JSON.stringify(handoff), projectId]
).catch((error) => {
console.error('[ai/chat] Failed to persist collector handoff', error);
});
@@ -348,9 +352,12 @@ Use this context to provide specific, grounded responses. The session history sh
console.log(`[AI Chat] Collector complete - triggering backend extraction`);
// Mark collector as complete
await adminDb.collection('projects').doc(projectId).update({
'phaseData.collectorCompletedAt': new Date().toISOString(),
}).catch((error) => {
await query(
`UPDATE fs_projects
SET data = jsonb_set(data, '{phaseData,collectorCompletedAt}', $1::jsonb, true)
WHERE id = $2`,
[JSON.stringify(new Date().toISOString()), projectId]
).catch((error) => {
console.error('[ai/chat] Failed to mark collector complete', error);
});
@@ -397,44 +404,32 @@ Use this context to provide specific, grounded responses. The session history sh
console.log(`[AI Chat] Extraction review complete - transitioning to vision phase`);
// Mark extraction review as complete and transition to vision
await adminDb.collection('projects').doc(projectId).update({
currentPhase: 'vision',
phaseStatus: 'in_progress',
'phaseData.extractionReviewCompletedAt': new Date().toISOString(),
}).catch((error) => {
await query(
`UPDATE fs_projects
SET data = data
|| '{"currentPhase":"vision","phaseStatus":"in_progress"}'::jsonb
|| jsonb_build_object('phaseData',
(data->'phaseData') || jsonb_build_object(
'extractionReviewCompletedAt', $1::text
)
)
WHERE id = $2`,
[new Date().toISOString(), projectId]
).catch((error) => {
console.error('[ai/chat] Failed to transition to vision phase', error);
});
}
}
// Save conversation history
const newConversationHistory = [
...conversationHistory,
{
role: 'user' as const,
content: message,
createdAt: new Date().toISOString(),
},
{
role: 'assistant' as const,
content: reply.reply,
createdAt: new Date().toISOString(),
},
];
await adminDb.collection('chat_conversations').doc(projectId).set(
{
projectId,
userId: projectData.userId,
messages: newConversationHistory,
updatedAt: new Date().toISOString(),
},
{ merge: true }
).catch((error) => {
// Save conversation history to Postgres
await appendConversation(projectId, [
{ role: 'user', content: message },
{ role: 'assistant', content: reply.reply },
]).catch((error) => {
console.error('[ai/chat] Failed to save conversation history', error);
});
console.log(`[AI Chat] Conversation history saved (${newConversationHistory.length} total messages)`);
console.log(`[AI Chat] Conversation history saved (+2 messages)`);
// Determine which artifacts were used
const artifactsUsed = determineArtifactsUsed(context);