Replaces the GitHub Actions reference with .gitea/workflows/pages.yml, following the sln-school-comparison deployment pattern. Documents the git-pages.civilytics.org/crdc-demo/ URL and token configuration.
130 lines
6.6 KiB
Markdown
130 lines
6.6 KiB
Markdown
# CRDC Arrests API Demo
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A demonstration web application for the [CRDC School Arrest Rate API](https://crdc-api.civilytics.org/api/v1/), showing Bayesian model comparisons of school-based arrest rates across U.S. districts. Built with React + Vite, deployable as a static site or Docker container.
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## Quick Start (Development)
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```bash
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# Install dependencies
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npm ci
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# Start dev server on localhost:5173
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npm run dev
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# Build for production
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npm run build # outputs to dist/
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npm run preview # serve built files locally
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```
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## What It Does
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Visitors select a U.S. state, search for a school district (with suggestions of districts that have the most arrests), and see 6 charts comparing observed data against Bayesian model estimates:
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1. **Arrests over time** — raw counts by CRDC wave with per-1k rate labels
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2. **Rate by student group** — bar chart, most recent year (observed vs. modeled)
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3. **District vs. national** — highest-rate group compared to the U.S. average
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4. **Model predictions vs. observed** — four quadrants (one-year/three-year × baseline/covariate)
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5. **Observed rate vs. model distribution** — ridgeline-style comparison across models
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6. **Exceedance probability** — P(district > national) per student group
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## Architecture
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### Tech Stack
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- **React 19** + **Vite** (static site generation, no backend required)
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- Plain CSS custom properties for styling (matches Civilytics design tokens exactly)
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- SVG-based charts rendered inline (no D3 or charting library dependencies)
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- Calls the public read-only API directly from the browser
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### File Structure
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```
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crdc-demo/
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├── index.html # Entry point
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├── vite.config.mjs # Vite build config
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├── src/
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│ ├── main.jsx # React entry
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│ ├── App.jsx # Main router (state → search → loading → charts)
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│ ├── hooks/useApi.js # API client with retry/backoff + endpoint wrappers
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│ ├── components/
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│ │ ├── StateSelector.jsx # Landing screen — state dropdown/grid
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│ │ ├── DistrictSearch.jsx # Search + "interesting" district suggestions
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│ │ ├── LoadingAnimation.jsx # Animated histogram grid during data fetch
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│ │ └── ChartPanel.jsx # Orchestrates all 6 charts + data fetching
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│ ├── charts/
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│ │ ├── ArrestsOverTime.jsx # Chart 1 — line chart by wave
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│ │ ├── RateByGroupBar.jsx # Chart 2 — bar chart by group
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│ │ ├── DistrictVsNational.jsx # Chart 3 — comparison vs. national avg
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│ │ ├── ModelDrawsComparison.jsx # Chart 4 — quadrant model comparison
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│ │ ├── ObservedRateDensity.jsx # Chart 5 — ridgeline proxy from intervals
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│ │ └── ExceedanceProbability.jsx # Chart 6 — P(district > nat) per group
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│ ├── styles/tokens.css # Civilytics design tokens (colors, fonts, spacing)
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│ └── data/national_rates.json # Static national rates fixture for comparisons
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├── Dockerfile # Multi-stage build → nginx static server
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├── docker-compose.yml # Local dev / self-hosted deployment
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├── _config.yml # Git Pages (self-hosted equivalent) config
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└── .github/workflows/deploy.yml # CI/CD — builds and uploads artifacts
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```
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### API Endpoints Used
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| Endpoint | Purpose | Frequency |
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| `/api/v1/models` | List available Bayesian model specs | Once (cached) |
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| `/api/v1/districts?q=&state=` | District name/geo lookup → LEAID | On keystroke |
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| `/api/v1/estimates/{leaid}?model=X&year=Y` | Estimates for one district/model/year/group | ~40 calls per district |
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| `/data/national_rates.json` | Static national rates fixture (committed) | Once per session |
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## Deployment
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### Option A: Git Pages via Gitea Actions (recommended)
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The app is a static site deployed automatically via Gitea Actions. On every push to `main`, the workflow in
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`.gitea/workflows/pages.yml` builds the Vite app and copies `dist/` to a `pages` branch served by the
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git-pages webhook receiver.
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**URL**: `https://pages.civilytics.org/crdc-demo/`
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The workflow follows the same pattern as `Civilytics/sln-school-comparison`:
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1. Triggers on push to `main` (only when source files change)
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2. Builds with Node 22 + Vite (`npm ci && npm run build`)
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3. Copies `dist/` contents to an orphan `pages` branch
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4. Forces push — the git-pages webhook picks it up automatically
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> **Note**: Ensure `${{ secrets.GITHUB_TOKEN }}` is configured in repo settings on gitea.civilytics.org.
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### Option B: Docker (self-hosted fleet)
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Build and run the nginx container on your infrastructure (`efron`, `maxwell`, etc.):
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```bash
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docker compose up -d # builds + serves on localhost:8080
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# Or build manually for your registry:
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docker buildx build --platform linux/amd64 -t registry.civilytics.org/crdc-demo:latest .
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docker push registry.civilytics.org/crdc-demo:latest
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```
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The container is ~5MB (nginx Alpine) and serves static files with immutable cache headers. A `/healthz` endpoint supports container orchestration health checks.
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### Environment Variables
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| Variable | Default | Description |
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|---|---|---|
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| `VITE_API_BASE` | `https://crdc-api.civilytics.org/api/v1` | Override to point at a staging API (set in Dockerfile build or docker-compose) |
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## Visual Design
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This app follows the Civilytics visual identity as defined in:
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- `theme/_tokens.scss` — colors, typography, spacing tokens
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- `social_media_posts.md` — chart patterns from published social media figures
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- `white_paper.qmd` / `R/paper_figures.R` — white paper figure builders
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Key design decisions:
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- **Color palette**: Warm paper background (`#FAF7F2`), civic navy text (`#0E1A2B`), ember accent (`#C25311`)
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- **Data viz colors**: Teal, plum, moss, brass from the supporting palette
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- **Fonts**: Libre Franklin/Inter for display and body, JetBrains Mono for code
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- **Chart patterns**: Pointrange comparisons (model vs. observed), ridgeline-style density bars, faceted small multiples
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## Citation & Attribution
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The CRDC School Arrest Rate API: Knowles, J.E., & Miller, H. (2025). *CRDC School Arrest Rate API v1*. Civilytics Consulting. https://crdc-api.civilytics.org/api/v1/
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Data source: US Department of Education, Office for Civil Rights. Civil Rights Data Collection (2021-22).
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This research was supported by a grant from the American Educational Research Association which receives funds for its "AERA Grants Program" from the National Science Foundation under NSF award NSF-DRL #1749275. Opinions reflect those of the author and do not necessarily reflect those AERA or NSF.
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