# PYQ clone A working full-stack copy of the ZenithPrep PYQ practice app: build a paper from JEE Main style questions, take it on a timed CBT screen with +4 / −1 marking, then read the analysis and progress dashboard. Rust + Axum + SQLite. Server-rendered HTML, vanilla JS, no frontend framework. ## Run cargo run Then open http://127.0.0.1:8080 and sign in with any name and email. Environment: | var | default | meaning | |------------|--------------------|------------------------------| | `PYQ_ADDR` | `127.0.0.1:8080` | listen address | | `PYQ_DB` | `pyq.db` | SQLite file, created if absent | | `PYQ_BASE` | empty | URL prefix when mounted in a subpath | | `GOOGLE_CLIENT_ID` | empty | enables Google sign-in; unset hides the button | | `GOOGLE_CLIENT_SECRET` | empty | needed only by the full-page fallback | ## Google sign-in Set a client id and the button appears on `/student`. Without it the page says Google is off and offers the email form instead. GOOGLE_CLIENT_ID=1234-ab.apps.googleusercontent.com \ GOOGLE_CLIENT_SECRET=... \ cargo run In the [Google Cloud console](https://console.cloud.google.com/apis/credentials) add an **OAuth 2.0 Client ID / Web application**, then list every origin this runs on, for example `http://127.0.0.1:8080` and `http://localhost:8080`. The callback URL is derived from the incoming request, so it follows the port you are on and follows `x-forwarded-proto` behind a proxy. Register each of those origins rather than trying to predict one URL. Two paths lead to the same session: - **Popup.** Google Identity Services returns an ID token to the page, which posts it to `POST /student/google`. - **Full page.** Where a popup is refused, the link beside the button starts an authorization-code flow with PKCE. The code is redeemed server side at `GET /student/google/callback`, so the client secret never reaches the browser. Either way the ID token is verified here, not in the browser. The signature is checked against the keys Google publishes at `https://www.googleapis.com/oauth2/v3/certs`, and the audience must be this client, the issuer must be a Google issuer, the expiry must hold, and the email must be verified. A token failing any of that is rejected and no session is created. The `state` parameter is single use and expires after ten minutes. To confirm the rejection path without a real Google account: cargo run --example forge_google_token -- YOUR_CLIENT_ID attacker@example.com That prints a correctly signed token from a key the server has never seen. Posting it to `/student/google` returns 401 and creates no user. ## Routes | route | what it does | |---------------------------|-----------------------------------------------| | `GET /` | landing page with live bank counts | | `GET /student`, `POST /student` | email sign-in, sets an HttpOnly session cookie | | `POST /student/google` | verifies a Google ID token, signs in | | `GET /student/google/callback` | redeems the authorization code for the full-page flow | | `GET /logout` | clears the session | | `GET /build`, `POST /build` | chapter picker and paper generation | | `POST /attempt/:paper` | starts or resumes an attempt | | `GET /attempt/:paper` | the CBT screen | | `POST /attempt/:id/answer` | JSON autosave of one answer | | `POST /attempt/:id/submit` | grades and closes the paper | | `GET /result/:attempt` | score, accuracy and per-question analysis | | `GET /history` | every submitted paper | | `GET /dashboard` | cross-paper trend, weak subtopics, coach notes | | `GET /s/:token` | public paper view, never a score | | `GET /api/attempt/:id/state` | autosaved answers as JSON | ## Marking +4 for a correct answer, −1 for a wrong one, 0 for a blank. Numerical answers compare against a 0.1 percent tolerance so `20.01` is accepted for `20`. ## Question selection A paper is drawn from the chosen chapters, shuffled with a seed derived from the request, and trimmed to the requested length. With "unseen questions only" the query excludes anything already answered by that user, so the same question does not come back by accident. ## Tests cargo test Covers the marking rules, numerical tolerance, and the urlencoded form decoding that shapes the build endpoint.