Spaces:
Running
Running
File size: 9,053 Bytes
1947612 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 | /**
* @license
* SPDX-License-Identifier: Apache-2.0
*/
import express from "express";
import path from "path";
import { createServer as createViteServer } from "vite";
import dotenv from "dotenv";
import Database from "better-sqlite3";
dotenv.config();
// ---------------------------------------------------------------------------
// SQLite setup
// ---------------------------------------------------------------------------
const db = new Database("dermavision.db");
db.exec(`
CREATE TABLE IF NOT EXISTS cases (
id TEXT PRIMARY KEY,
data TEXT NOT NULL,
created_at TEXT NOT NULL DEFAULT (datetime('now'))
)
`);
const stmtInsertCase = db.prepare(`
INSERT INTO cases (id, data, created_at)
VALUES (@id, @data, @created_at)
ON CONFLICT(id) DO UPDATE SET data = excluded.data
`);
const stmtGetAllCases = db.prepare(
`SELECT data FROM cases ORDER BY created_at DESC`,
);
const stmtDeleteCase = db.prepare(`DELETE FROM cases WHERE id = ?`);
// ---------------------------------------------------------------------------
// Server
// ---------------------------------------------------------------------------
async function startServer() {
const app = express();
const PORT = process.env.PORT ? parseInt(process.env.PORT) : 3000;
app.use(express.json({ limit: "50mb" }));
app.use(express.urlencoded({ extended: true, limit: "50mb" }));
// ββ Health ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
app.get("/api/health", (_req, res) => {
res.json({
status: "ok",
database: "Connected (SQLite)",
latencyMs: Math.floor(15 + Math.random() * 45),
timestamp: new Date().toISOString(),
});
});
// ββ Cases β GET all βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
app.get("/api/cases", (_req, res) => {
try {
const rows = stmtGetAllCases.all() as { data: string }[];
const cases = rows.map((r) => JSON.parse(r.data));
res.json({ cases, total: cases.length });
} catch (err: any) {
console.error("GET /api/cases failed:", err.message);
res.status(500).json({ error: "Failed to retrieve cases." });
}
});
// ββ Cases β POST (upsert) βββββββββββββββββββββββββββββββββββββββββββββββββ
app.post("/api/cases", (req, res) => {
try {
const caseData = req.body;
if (!caseData?.id) {
return res
.status(400)
.json({ error: "Case object must include an id field." });
}
stmtInsertCase.run({
id: caseData.id,
data: JSON.stringify(caseData),
created_at: caseData.createdAt || new Date().toISOString(),
});
console.log(`Case saved: ${caseData.id}`);
res.json({ success: true, id: caseData.id });
} catch (err: any) {
console.error("POST /api/cases failed:", err.message);
res.status(500).json({ error: "Failed to save case." });
}
});
// ββ Cases β DELETE ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
app.delete("/api/cases/:id", (req, res) => {
try {
const result = stmtDeleteCase.run(req.params.id);
if (result.changes === 0) {
return res.status(404).json({ error: "Case not found." });
}
console.log(`Case deleted: ${req.params.id}`);
res.json({ success: true, id: req.params.id });
} catch (err: any) {
console.error("DELETE /api/cases/:id failed:", err.message);
res.status(500).json({ error: "Failed to delete case." });
}
});
// ββ Skin analysis βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
app.post("/api/analyze-skin", async (req, res) => {
try {
const { image, symptoms, patientInfo } = req.body;
if (!image) {
return res
.status(400)
.json({ error: "Missing skin image data for assessment." });
}
const base64Data = image.startsWith("data:")
? image.split(",")[1]
: image;
const imageBuffer = Buffer.from(base64Data, "base64");
const form = new FormData();
form.set(
"image",
new Blob([imageBuffer], { type: "image/jpeg" }),
"image.jpg",
);
form.set("include_heatmap", "true");
form.set("include_narrative", "true");
if (symptoms) form.set("symptoms", symptoms);
if (patientInfo?.name) form.set("patient_name", patientInfo.name);
if (patientInfo?.age) form.set("patient_age", String(patientInfo.age));
if (patientInfo?.sex) form.set("patient_sex", patientInfo.sex);
console.log(
`Forwarding to DermaVision β patient: ${patientInfo?.name || "Anonymous"}`,
);
const dermaResponse = await fetch("http://127.0.0.1:8000/analyse", {
method: "POST",
body: form,
});
if (!dermaResponse.ok) {
const errorText = await dermaResponse.text();
console.error(
`DermaVision error ${dermaResponse.status}: ${errorText}`,
);
return res.status(502).json({
error: `DermaVision API error ${dermaResponse.status}: ${errorText}`,
});
}
const dermaResult: any = await dermaResponse.json();
console.log(
"RAW Django predictions:",
JSON.stringify(dermaResult.allPredictions, null, 2),
); // β add here
if (!dermaResult.primaryFinding || dermaResult.confidence == null) {
return res
.status(502)
.json({ error: "DermaVision returned a malformed response." });
}
console.log(
`DermaVision β ${dermaResult.primaryFinding} (${dermaResult.confidence}%) | Urgency: ${dermaResult.urgency}`,
);
return res.json({
primaryFinding: dermaResult.primaryFinding,
confidence: dermaResult.confidence,
urgency: dermaResult.urgency,
urgencyText: dermaResult.urgencyText,
treatmentNotes: dermaResult.treatmentNotes,
recommendedAction: dermaResult.recommendedAction,
referralNote: dermaResult.referralNote,
conditionCode: dermaResult.conditionCode,
allPredictions: dermaResult.allPredictions,
heatmap_b64: dermaResult.heatmap_b64,
modelVersion: dermaResult.model_version || "dermavision-dinov2-v1",
});
} catch (err: any) {
console.error(
"Failed to communicate with DermaVision backend:",
err.message,
);
return res
.status(502)
.json({ error: "Failed to communicate with DermaVision backend." });
}
});
// ββ PDF Generation ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
app.post("/api/generate-pdf", async (req, res) => {
try {
console.log(
"Forwarding PDF generation request to DermaVision backend...",
);
const djangoResponse = await fetch("http://127.0.0.1:8000/pdf", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(req.body),
});
if (!djangoResponse.ok) {
const errText = await djangoResponse.text();
console.error("Django PDF error:", errText);
return res
.status(502)
.json({ error: "Failed to generate PDF on backend." });
}
const result: any = await djangoResponse.json();
if (!result.pdf_b64) {
return res
.status(502)
.json({ error: "Backend returned malformed PDF." });
}
res.json({ pdf_b64: result.pdf_b64 });
} catch (err: any) {
console.error("Failed to communicate with Django /pdf:", err.message);
res.status(502).json({ error: "Failed to communicate with Django." });
}
});
// ββ Vite / static βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
if (process.env.NODE_ENV !== "production") {
const vite = await createViteServer({
server: { middlewareMode: true },
appType: "spa",
});
app.use(vite.middlewares);
} else {
const distPath = path.join(process.cwd(), "dist");
app.use(express.static(distPath));
app.get("*", (_req, res) => {
res.sendFile(path.join(distPath, "index.html"));
});
}
app.listen(PORT, "0.0.0.0", () => {
console.log(`Server listening on http://localhost:${PORT}`);
});
}
startServer();
|