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fix: update ML_SERVICE_URL to use internal service endpoint in deployment configuration

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Asep Haryana Saputra
2026-05-22 22:10:00 +00:00
parent 4453758180
commit 8cd128a438
2 changed files with 2 additions and 2 deletions
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.github/workflows/deploy.yml
+1 -1
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@@ -111,7 +111,7 @@ jobs:
DATABASE_URL=${{ secrets.DATABASE_URL }} DATABASE_URL=${{ secrets.DATABASE_URL }}
SESSION_SECRET=${{ secrets.SESSION_SECRET }} SESSION_SECRET=${{ secrets.SESSION_SECRET }}
WEB_APP_URL=https://zeavisedu.asepharyana.tech WEB_APP_URL=https://zeavisedu.asepharyana.tech
ML_SERVICE_URL=https://ml.zeavisedu.asepharyana.tech ML_SERVICE_URL=http://zeavis-ml:8000
ENVEOF ENVEOF
} > .env } > .env
docker-compose.yml
+1 -1
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@@ -32,7 +32,7 @@ services:
NODE_ENV: production NODE_ENV: production
API_PORT: "3000" API_PORT: "3000"
WEB_APP_URL: https://zeavisedu.asepharyana.tech WEB_APP_URL: https://zeavisedu.asepharyana.tech
ML_SERVICE_URL: https://ml.zeavisedu.asepharyana.tech ML_SERVICE_URL: ${ML_SERVICE_URL:-http://zeavis-ml:8000}
labels: labels:
traefik.enable: "true" traefik.enable: "true"
traefik.http.routers.zeavis-api.rule: Host(`api.zeavisedu.asepharyana.tech`) traefik.http.routers.zeavis-api.rule: Host(`api.zeavisedu.asepharyana.tech`)