policy-recommender-ai/render.yaml at main · Kashvi05agarwal/policy-recommender-ai · GitHub

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
services:
  - type: web
    name: policy-recommender-ai
    runtime: python
    pythonVersion: 3.11

    # Build & Deploy
    buildCommand: pip install -r requirements.txt
    startCommand: uvicorn app:app --host 0.0.0.0 --port $PORT

    # Environment Variables
    envVars:
      - key: JWT_SECRET
        scope: run
        value: ${JWT_SECRET}
      - key: DATABASE_URL
        value: sqlite:///./audit_trail.db
      - key: PYTHONUNBUFFERED
        value: "1"
      - key: ENVIRONMENT
        value: production

    # Health Check
    healthCheckPath: /health

    # Scaling & Performance
    numInstances: 1
    region: oregon

    # Metrics
    metrics:
      - name: cpu
        threshold: 80
      - name: memory
        threshold: 80

# Environment Setup Instructions:
# 1. Set JWT_SECRET in Render dashboard (generate a strong secret)
# 2. Deploy via Render dashboard or git push to connected repo
# 3. Monitor API health at /health endpoint
# 4. Access API docs at /docs endpoint