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Cloudflare Bootstrap

This repository is prepared for a separate Python runner plus a Cloudflare Worker serving layer.

1. Authenticate Wrangler

cd /Users/viktorvitovec/Documents/Projekty/HousesPredict-v2/worker-app
npx wrangler whoami
npx wrangler login

2. Create D1 and R2

npx wrangler d1 create praha-price-predictor
npx wrangler r2 bucket create praha-price-models

Copy the returned database_id into wrangler.jsonc and uncomment the d1_databases and r2_buckets bindings.

3. Apply migrations

npx wrangler d1 migrations apply praha-price-predictor --remote

The latest migration also creates service tables for:

  • user profiles
  • free prediction usage tracking
  • premium entitlements
  • Stripe customer mapping
  • scored market opportunities for the dashboard

4. Configure Worker secrets / vars

Set the product env on the Worker:

npx wrangler secret put SUPABASE_URL
npx wrangler secret put SUPABASE_ANON_KEY
npx wrangler secret put STRIPE_SECRET_KEY
npx wrangler secret put STRIPE_WEBHOOK_SECRET
npx wrangler secret put APP_BASE_URL
npx wrangler secret put STRIPE_PRICE_ID

Optional non-secret vars can be added in wrangler.jsonc or via dashboard:

  • PREMIUM_PLAN_CODE
  • PREMIUM_PRICE_LABEL

5. Validate and deploy

npx wrangler check
npx wrangler deploy

6. Pipeline runner

You have two supported scheduling options.

Option A: separate Linux host

Run the Python pipeline on a separate Linux host with:

./ops/run-scrape-publish.sh
./ops/run-train-publish.sh

Install the example cron from pipeline.crontab.example.

Option B: GitHub Actions

Enable these workflows and set these repository secrets:

The GitHub Actions setup provisions Python and Node, runs scrape/publish every 6 hours, train/publish nightly, and uploads generated reports as workflow artifacts. Without the Cloudflare secrets, scheduled runs skip remote publish/housekeeping and exit successfully so notification email stays quiet until publishing is configured.