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https://github.com/mattwmaster58/mactrack


https://github.com/mattwmaster58/mactrack

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### MacTrack

After spending too much time scrolling through [mac.bid](https://mac.bid), I decided it would be a more effective use of my time to write a tool to more effectively use mac.bid.

This webapp aims to achieve 2 goals:
- notify you when searches matching your criteria are met
- provide historical data to help inform current purchase decisions

#### Roadmap

This is subject to change, I don't even have a working E2E prototype

Scraper
- ~~ALL datetime in UTC~~ (unverified whether this is actually done)
- sanity checks: how many lots were open before/after scrape
- ~~CLI integration + async rewrite~~
- queuing system (SAQ)?
- see [here](https://github.com/litestar-org/litestar-pg-redis-docker/blob/0c3622f6c483117ed6638e49e82c3545e111573e/app/main.py#L46)

Filters
- manual running
- "term preview"
- chips on the cards, + and -, single line only
- queuing system (SAQ)?
- node render process for notification emails
- see: https://github.com/markfinger/python-react
- quick view - view results of your filter
- join auctionlot_idx with auctionlot for faster querying
- the former is fast for fts, slow for everything else (nothing can be indexed besides text)

Auth
- ~~make it so that auth actually works~~
- ~~set current user if page reload~~
- ~~direct to sign in page if logged out (when redirecting user, make sure we don't return them to /current-user)~~
- load current user on page refresh regardless of auth required or not

General
- deploy backend on GCP
- get SSL certs (caddy)
- see: https://github.com/dadatuputi/bitwarden_gcloud/tree/master/caddy
- deploy frontend to netlify (or others)
- logging infrastructure
- PAGINATION

#### Architecture
##### Backend
- SQLAlchemy for ORM
- SQLite + FTS5 for DB
##### Frontend
- React + MUI