Mark Henderson
e3a6641e3c
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>
92 lines
3.0 KiB
TypeScript
92 lines
3.0 KiB
TypeScript
/**
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* Chat Mode Resolution Logic
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*
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* Determines which chat mode (collector, extraction_review, vision, mvp, marketing, general)
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* should be active based on project state stored in Postgres.
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*/
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import { query } from '@/lib/db-postgres';
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import type { ChatMode } from '@/lib/ai/chat-modes';
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/**
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* Resolve the appropriate chat mode for a project using Postgres (fs_projects).
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*/
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export async function resolveChatMode(projectId: string): Promise<ChatMode> {
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try {
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const rows = await query<{ data: any }>(
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`SELECT data FROM fs_projects WHERE id = $1 LIMIT 1`,
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[projectId]
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);
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if (rows.length === 0) {
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console.warn(`[Chat Mode Resolver] Project ${projectId} not found`);
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return 'collector_mode';
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}
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const projectData = rows[0].data ?? {};
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const phaseData = (projectData.phaseData ?? {}) as Record<string, any>;
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const currentPhase: string = projectData.currentPhase ?? 'collector';
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// Explicit phase overrides
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if (currentPhase === 'extraction_review' || currentPhase === 'analyzed') return 'extraction_review_mode';
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if (currentPhase === 'vision') return 'vision_mode';
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if (currentPhase === 'mvp') return 'mvp_mode';
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if (currentPhase === 'marketing') return 'marketing_mode';
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// Derive from phase artifacts
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if (!phaseData.canonicalProductModel) return 'collector_mode';
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if (!phaseData.mvpPlan) return 'vision_mode';
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if (!phaseData.marketingPlan) return 'mvp_mode';
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if (phaseData.marketingPlan) return 'marketing_mode';
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return 'general_chat_mode';
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} catch (error) {
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console.error('[Chat Mode Resolver] Failed to resolve mode:', error);
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return 'collector_mode';
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}
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}
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/**
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* Summarise knowledge items for context building.
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* Uses Postgres fs_knowledge_items if available, otherwise returns empty.
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*/
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export async function summarizeKnowledgeItems(projectId: string): Promise<{
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totalCount: number;
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bySourceType: Record<string, number>;
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recentTitles: string[];
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}> {
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try {
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const rows = await query<{ data: any }>(
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`SELECT data FROM fs_knowledge_items WHERE project_id = $1 ORDER BY created_at DESC LIMIT 20`,
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[projectId]
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);
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const bySourceType: Record<string, number> = {};
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const recentTitles: string[] = [];
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for (const row of rows) {
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const d = row.data ?? {};
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const sourceType = d.sourceType ?? 'unknown';
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bySourceType[sourceType] = (bySourceType[sourceType] ?? 0) + 1;
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if (d.title && recentTitles.length < 5) recentTitles.push(d.title);
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}
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return { totalCount: rows.length, bySourceType, recentTitles };
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} catch {
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// Table may not exist for older deployments — return empty
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return { totalCount: 0, bySourceType: {}, recentTitles: [] };
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}
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}
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/**
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* Summarise extractions for context building.
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* Returns empty defaults — extractions not yet migrated to Postgres.
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*/
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export async function summarizeExtractions(projectId: string): Promise<{
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totalCount: number;
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avgConfidence: number;
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avgCompletion: number;
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}> {
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return { totalCount: 0, avgConfidence: 0, avgCompletion: 0 };
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}
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