Frontend

.gitignore

@@ -18,14 +18,23 @@ flare/jobs/
 flare/kits/
 .local_fed/
 .next
+<<<<<<< HEAD
+<<<<<<< HEAD
+=======
+=======
+>>>>>>> b05bac27146e3cacfc9e8a99a06e67a2150ddf78
 *.csv
 *.bed
 *.bim
 *.fam
 *_geno.*
 site*_nordik_sim.*
+<<<<<<< HEAD
 .remote/
 server/api_out/
 frontend/.next/
 frontend/AGENTS.md
 frontend/CLAUDE.md
+>>>>>>> 1589cd5ef94e40e0c3866ba2b7a45973a101a81c
+=======
+>>>>>>> b05bac27146e3cacfc9e8a99a06e67a2150ddf78

data/ground_truth.json

@@ -236,13 +236,23 @@
       "snp_rs013"
     ],
     "coef": {
+<<<<<<< HEAD
+      "intercept": 89.2728860425527,
+      "age": 0.5055436521435493,
+      "sex": 4.203368841196912,
+      "bmi": 0.8062409982940054,
+      "ldl": 1.2189188961362305,
+      "snp_rs001": 2.3934157478351294,
+      "snp_rs007": -1.2816779284343325,
+=======
       "intercept": 89.27288604255267,
       "age": 0.5055436521435472,
       "sex": 4.203368841196912,
       "bmi": 0.8062409982940094,
       "ldl": 1.2189188961362498,
       "snp_rs001": 2.3934157478351223,
       "snp_rs007": -1.2816779284343316,
+>>>>>>> fffe7185c787e67d9476d0f02c3d2469b8e2b5f0
       "snp_rs013": 0.9002997078401026
     }
   },

frontend/.env.example

@@ -1 +1 @@
-NEXT_PUBLIC_API_BASE_URL=http://localhost:8000
+NEXT_PUBLIC_API_BASE_URL=http://127.0.0.1:8080

frontend/README.md

@@ -10,23 +10,25 @@ npm install
 npm run dev
 ```
 
-The UI uses Webpack mode because the native Windows SWC binary may be unavailable. Set `NEXT_PUBLIC_API_BASE_URL` when the API is not running at `http://localhost:8500`:
+The UI uses Webpack mode because the native Windows SWC binary may be unavailable. Browser requests use the same-origin `/api` proxy, so the browser does not need CORS access to the Python API. The proxy targets `http://127.0.0.1:8080` by default. Set `BACKEND_API_URL` in the frontend environment to override it:
 
 ```powershell
-$env:NEXT_PUBLIC_API_BASE_URL = "http://localhost:8500"
+$env:BACKEND_API_URL = "http://127.0.0.1:8080"
 ```
 
-The expected API surface is:
+The current backend API surface is:
 
-- `GET /metadata` — canonical variables, safe projects, examples, and TRE status.
-- `GET /examples/{filename}` — load an example `AnalysisSpec`.
-- `POST /run` — submit an `AnalysisSpec`; returns a run ID.
-- `GET /run/{id}` — poll status and read the merged server result.
-- `GET /overseer` — read flagged results.
-- `POST /overseer/{spec_hash}/approve` and `/reject` — release or reject a queued result.
-- `GET /audit` — read per-site audit records.
+- `GET /health`
+- `GET /allele-frequency?variant=...&project_id=...&min_cell_size=...`
+- `POST /linear-regression` with `features`, `target`, `project_id`, `filters`, and `min_cell_size`.
+- `POST /logistic-regression` with `features`, `target`, `project_id`, `filters`, and `min_cell_size`.
 
-The result renderer follows the server output fields: `coverage`, `sites_missing`, `n_per_site`, `rejected_per_site`, and `stats` containing allele frequencies, genotype counts, summary statistics, OLS coefficients, and FedAvg history. The TRE list is supplied by the API; the frontend does not read site CSVs or import TRE applications.
+The Next.js route at `app/api/[...path]/route.js` forwards those requests server-side, avoiding browser CORS. Metadata, example loading, run polling, overseer, and audit routes are not exposed by the current backend, so the UI uses static variable/project choices and the existing example selector includes a `logistic_regression` mode for the new endpoint.
 
-(From the docs, I mean the global README)
-The Python backend and local TREs are started from the repository root. For the simulated TRE path, run `python scripts/dev_tres.py`, then start the API on port 8500.
+Start the Python API from the repository root on port 8080, then start this frontend:
+
+```powershell
+python -m uvicorn server.api:app --host 127.0.0.1 --port 8080 --workers 1
+cd frontend
+npm run dev
+```

frontend/app/api/[...path]/route.js

@@ -0,0 +1,23 @@
+const backendBase = process.env.BACKEND_API_URL || process.env.NEXT_PUBLIC_API_BASE_URL || 'http://127.0.0.1:8080'
+
+async function forward(request, context) {
+  const { path = [] } = await context.params
+  const target = new URL(`/${path.join('/')}`, `${backendBase.replace(/\/$/, '')}/`)
+  target.search = new URL(request.url).search
+
+  const headers = new Headers()
+  const contentType = request.headers.get('content-type')
+  if (contentType) headers.set('content-type', contentType)
+
+  const body = request.method === 'GET' || request.method === 'HEAD' ? undefined : await request.arrayBuffer()
+  const response = await fetch(target, { method: request.method, headers, body, cache: 'no-store' })
+  const responseHeaders = new Headers()
+  const responseType = response.headers.get('content-type')
+  if (responseType) responseHeaders.set('content-type', responseType)
+
+  return new Response(response.body, { status: response.status, headers: responseHeaders })
+}
+
+export const GET = forward
+export const POST = forward
+export const OPTIONS = () => new Response(null, { status: 204 })