Given an arbitrary bank statement PDF, utilize AI to analyze and provide insights and generate a report.
Ensure you have ./frontend/.env
and ./backend/.env
setup correctly.
From project root directory:
yarn install
yarn prisma:generate
Then stand up the services for the backend:
docker compose up postgres redis
Now migrate / seed the db:
yarn setup:backend
Now you can run the entire app with
yarn dev
Frontend is on http://localhost:5173
Backend is on http://localhost:3000
Ensure you have ./frontend/.env
and ./backend/.env
setup correctly.
From project root directory:
docker compose up
Frontend is on http://localhost:5173
Backend is on http://localhost:3000
yarn prepare
- setup for husky precommit hooks
yarn db:explore
(Spins up browser to view database using prisma at http://localhost:5555)yarn db:reset
(nuke it)
The only thing to change when using the docker setup is DATABASE_URL
(uncomment the one with localhost if working locally):
DATABASE_URL="postgresql://mr_krabs:secretformula@localhost:5432/krusty_krab?schema=public
And uncomment REDIS_HOST
and REDIS_PORT
as well if running with docker.
Be sure to add your OPENAI_API_KEY
regardless.
NODE_ENV="development"
# Express Server
PORT=3000
CORS_WHITELIST="http://localhost:3000, http://localhost:5173"
# Database
POSTGRES_USER="mr_krabs"
POSTGRES_PASSWORD="secretformula"
POSTGRES_HOST="postgres"
POSTGRES_PORT=5432
POSTGRES_DB="krusty_krab"
DATABASE_URL="postgresql://mr_krabs:secretformula@localhost:5432/krusty_krab?schema=public"
# DATABASE_URL="postgresql://mr_krabs:secretformula@postgres:5432/krusty_krab?schema=public"
# Redis for Queue
# REDIS_HOST=redis
# REDIS_PORT=6379
# Local Storage
FILE_UPLOAD_MAX_SIZE_BYTES=52428800
# OpenAI
OPENAI_API_KEY="sk-proj-ABCD1234"