2cda26a649
Each analysis run now creates a dedicated folder in Supabase Storage:
clinics/{domain}/{reportId}/
├── scrape_data.json (discover-channels: website scrape + Perplexity)
├── channel_data.json (collect-channel-data: all channel API results)
└── report.json (generate-report: final AI-generated report)
Screenshots also moved from {reportId}/{id}.png to:
clinics/{domain}/{reportId}/screenshots/{id}.png
Migration: 20260407_clinic_data_storage.sql creates 'clinic-data' bucket
(private, 10MB/file, JSON only). All writes are non-fatal — pipeline
continues even if Storage upload fails.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
|
||
|---|---|---|
| .claude | ||
| .vscode | ||
| data/clinic-registry | ||
| doc | ||
| docs | ||
| public/assets/clients/view-clinic/screenshots | ||
| reference | ||
| scripts | ||
| src | ||
| supabase | ||
| .env.example | ||
| .gitignore | ||
| .vercelignore | ||
| CLAUDE.md | ||
| Medical Marketing Intelligence Report Prompt_01.28.2026.md | ||
| PRD.md | ||
| README.md | ||
| extracted_marketing_text.md | ||
| index.html | ||
| metadata.json | ||
| package-lock.json | ||
| package.json | ||
| tsconfig.json | ||
| vercel.json | ||
| vite.config.ts | ||
| 뷰성형외과_Marketing_Intelligence_Report.md | ||
README.md
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/d446f5f5-e089-404a-93ce-32a72f2f5108
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev