chore: sync ports to 4000s infra (4006/4011/4012) and DB pool 6432

apps/api/Dockerfile

@@ -11,7 +11,7 @@ RUN bun install --production
 FROM oven/bun:1.3.14 AS runner
 WORKDIR /app
 ENV NODE_ENV=production
-ENV API_PORT=3000
+ENV API_PORT=4006
 
 COPY --from=deps /app/node_modules ./node_modules
 COPY --from=deps /app/apps/api/node_modules apps/api/node_modules
@@ -20,5 +20,5 @@ COPY package.json bunfig.toml tsconfig.base.json ./
 COPY apps/api apps/api
 COPY packages/shared packages/shared
 
-EXPOSE 3000
+EXPOSE 4006
 CMD ["bun", "apps/api/src/index.ts"]

apps/api/drizzle.config.ts

@@ -5,6 +5,6 @@ export default defineConfig({
   out: './drizzle',
   dialect: 'postgresql',
   dbCredentials: {
-    url: process.env.DATABASE_URL ?? 'postgres://postgres:postgres@localhost:5432/zeavis_edu',
+    url: process.env.DATABASE_URL ?? 'postgres://asephs:***@100.121.180.82:6432/zeavis_edu',
   },
 });

apps/api/src/config/env.ts

@@ -18,7 +18,7 @@ const allowedOrigins = [
 const secureCookies = Bun.env.SECURE_COOKIES === 'true' || webAppUrl.startsWith('https://');
 
 export const env = {
-  port: Number(Bun.env.API_PORT ?? 3000),
+  port: Number(Bun.env.API_PORT ?? 4006),
   databaseUrl: Bun.env.DATABASE_URL,
   sessionSecret: Bun.env.SESSION_SECRET,
   uploaderBaseUrl: Bun.env.UPLOADER_BASE_URL ?? 'https://upload.asepharyana.my.id',

apps/ml-service/Dockerfile

@@ -11,7 +11,7 @@ WORKDIR /app
 ENV MODEL_PATH=/app/model/model.onnx
 ENV MODEL_INPUT_SIZE=224
 ENV ML_SERVICE_HOST=0.0.0.0
-ENV ML_SERVICE_PORT=8000
+ENV ML_SERVICE_PORT=4012
 ENV RUST_LOG=info
 
 RUN pacman -Syu --noconfirm ca-certificates 2>/dev/null
@@ -19,5 +19,5 @@ RUN pacman -Syu --noconfirm ca-certificates 2>/dev/null
 COPY --from=builder /app/target/release/zeavis-ml-service /usr/local/bin/zeavis-ml-service
 COPY Machine_Learning/model/model.onnx /app/model/model.onnx
 
-EXPOSE 8000
+EXPOSE 4012
 CMD ["zeavis-ml-service"]

apps/ml-service/README.md

@@ -48,7 +48,7 @@ Output build lokal berada di `target/` dan direktori tersebut diabaikan oleh Git
 
 Semua perintah di bawah dijalankan dari direktori `apps/ml-service`.
 
-### Opsi 1: Default (Port 8000)
+### Opsi 1: Default (Port 4012)
 
 ```bash
 cargo run
@@ -91,7 +91,7 @@ ML_SERVICE_PORT=9000 MODEL_PATH=/path/to/model.onnx cargo run
 ### Health Check
 
 ```bash
-curl http://localhost:8000/health
+curl http://localhost:4012/health
 ```
 
 ```json
@@ -104,7 +104,7 @@ curl http://localhost:8000/health
 ### Metadata
 
 ```bash
-curl http://localhost:8000/metadata
+curl http://localhost:4012/metadata
 ```
 
 ```json
@@ -123,7 +123,7 @@ curl http://localhost:8000/metadata
 Upload gambar daun jagung untuk klasifikasi:
 
 ```bash
-curl -X POST http://localhost:8000/predict \
+curl -X POST http://localhost:4012/predict \
   -F "file=@/path/to/corn-leaf.jpg"
 ```
 
@@ -164,13 +164,13 @@ cargo test
 cargo run
 
 # 2. Health check
-curl http://localhost:8000/health
+curl http://localhost:4012/health
 
 # 3. Metadata
-curl http://localhost:8000/metadata
+curl http://localhost:4012/metadata
 
 # 4. Prediksi
-curl -X POST http://localhost:8000/predict \
+curl -X POST http://localhost:4012/predict \
   -F "file=@../../Machine_Learning/dataset/Daun\ Sehat/sample.jpg"
 ```
 
@@ -182,7 +182,7 @@ Service dapat di-deploy via Docker. Build dari root repository karena Dockerfile
 
 ```bash
 docker build -f apps/ml-service/Dockerfile -t zeavis-ml-service .
-docker run -p 8000:8000 zeavis-ml-service
+docker run -p 8000:4012 zeavis-ml-service
 ```
 
 Pastikan `Machine_Learning/model/model.onnx` sudah dibuat sebelum build image.
@@ -210,7 +210,7 @@ MODEL_PATH=/absolute/path/to/model.onnx cargo run
 ```bash
 ML_SERVICE_PORT=9000 cargo run
 # Cek port yang digunakan:
-lsof -i :8000
+lsof -i :4012
 ```
 
 ### ONNX Runtime tidak kompatibel

apps/web/nginx.conf

@@ -5,7 +5,7 @@ server {
   index index.html;
 
   location /api/ {
-    proxy_pass http://zeavis-api:3000/api/;
+    proxy_pass http://zeavis-api:4006/api/;
     proxy_set_header Host $host;
     proxy_set_header X-Real-IP $remote_addr;
     proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
@@ -14,7 +14,7 @@ server {
 
   # Expose API metrics through the web endpoint (Prometheus scrape target)
   location /metrics {
-    proxy_pass http://zeavis-api:3000/metrics;
+    proxy_pass http://zeavis-api:4006/metrics;
     proxy_set_header Host $host;
     proxy_set_header X-Real-IP $remote_addr;
     proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;

apps/web/src/pages/telemetry-page.tsx

@@ -225,25 +225,25 @@ export function TelemetryPage() {
         queryInstant(`rate(node_network_receive_bytes_total{instance="${INST}:9100",device="eth0"}[5m])`),
         queryInstant(`rate(node_network_transmit_bytes_total{instance="${INST}:9100",device="eth0"}[5m])`),
         // API
-        queryInstant(`zeavis_api_http_requests_total{instance="${INST}:3000"}`),
-        queryInstant(`zeavis_api_http_requests_active{instance="${INST}:3000"}`),
-        queryInstant(`zeavis_api_http_request_duration_seconds_sum{instance="${INST}:3000"} / zeavis_api_http_request_duration_seconds_count{instance="${INST}:3000"}`),
-        queryRange(`zeavis_api_http_requests_total{instance="${INST}:3000"}`, 60),
-        queryRange(`zeavis_api_http_request_duration_seconds_sum{instance="${INST}:3000"} / zeavis_api_http_request_duration_seconds_count{instance="${INST}:3000"}`, 60),
+        queryInstant(`zeavis_api_http_requests_total{instance="${INST}:4006"}`),
+        queryInstant(`zeavis_api_http_requests_active{instance="${INST}:4006"}`),
+        queryInstant(`zeavis_api_http_request_duration_seconds_sum{instance="${INST}:4006"} / zeavis_api_http_request_duration_seconds_count{instance="${INST}:4006"}`),
+        queryRange(`zeavis_api_http_requests_total{instance="${INST}:4006"}`, 60),
+        queryRange(`zeavis_api_http_request_duration_seconds_sum{instance="${INST}:4006"} / zeavis_api_http_request_duration_seconds_count{instance="${INST}:4006"}`, 60),
         // ML
         queryInstant(`zeavis_ml_zeavis_ml_model_load_status{instance="${INST}:8000"}`),
         // NodeJS
-        queryInstant(`nodejs_heap_size_used_bytes{instance="${INST}:3000"}`),
-        queryInstant(`nodejs_heap_size_total_bytes{instance="${INST}:3000"}`),
-        queryInstant(`nodejs_eventloop_lag_seconds{instance="${INST}:3000"}`),
-        queryInstant(`nodejs_active_handles_total{instance="${INST}:3000"}`),
-        queryInstant(`nodejs_active_requests_total{instance="${INST}:3000"}`),
-        queryRange(`nodejs_heap_size_used_bytes{instance="${INST}:3000"}`, 60),
-        queryRange(`nodejs_eventloop_lag_seconds{instance="${INST}:3000"}`, 60),
+        queryInstant(`nodejs_heap_size_used_bytes{instance="${INST}:4006"}`),
+        queryInstant(`nodejs_heap_size_total_bytes{instance="${INST}:4006"}`),
+        queryInstant(`nodejs_eventloop_lag_seconds{instance="${INST}:4006"}`),
+        queryInstant(`nodejs_active_handles_total{instance="${INST}:4006"}`),
+        queryInstant(`nodejs_active_requests_total{instance="${INST}:4006"}`),
+        queryRange(`nodejs_heap_size_used_bytes{instance="${INST}:4006"}`, 60),
+        queryRange(`nodejs_eventloop_lag_seconds{instance="${INST}:4006"}`, 60),
         // Process
-        queryInstant(`rate(process_cpu_seconds_total{instance="${INST}:3000"}[5m])`),
-        queryInstant(`process_resident_memory_bytes{instance="${INST}:3000"}`),
-        queryInstant(`process_open_fds{instance="${INST}:3000"}`),
+        queryInstant(`rate(process_cpu_seconds_total{instance="${INST}:4006"}[5m])`),
+        queryInstant(`process_resident_memory_bytes{instance="${INST}:4006"}`),
+        queryInstant(`process_open_fds{instance="${INST}:4006"}`),
       ]);
 
       setCpuData(cpuR); setMemData(memR); setDiskData(diskR);

apps/web/vite.config.ts

@@ -6,7 +6,7 @@ import { metricsPlugin } from './vite-plugin-metrics';
 
 export default defineConfig(({ mode }) => {
   const env = loadEnv(mode, process.cwd(), '');
-  const apiProxyTarget = env.VITE_API_PROXY_TARGET || 'http://localhost:3000';
+  const apiProxyTarget = env.VITE_API_PROXY_TARGET || 'http://localhost:4006';
 
   return {
     plugins: [