# fly.toml — Fly.io deployment config for Coder AI Orchestrator
# Deploy: fly deploy

app = "coderai-orchestrator"      # Change to your unique app name
primary_region = "sin"            # Singapore — closest to India; or try "bom" if available

[build]
  dockerfile = "Dockerfile"

[env]
  NODE_ENV = "production"
  PORT     = "4000"
  # Port range for user project containers (must match [[services]] TCP)
  BASE_HOST_PORT = "3100"
  MAX_HOST_PORT  = "3200"

# ── Main HTTP service ──────────────────────────────────────────────────────────
[[services]]
  protocol    = "tcp"
  internal_port = 4000

  [[services.ports]]
    port     = 80
    handlers = ["http"]

  [[services.ports]]
    port     = 443
    handlers = ["tls", "http"]

  [services.concurrency]
    type       = "requests"
    soft_limit = 50
    hard_limit = 100

  [[services.http_checks]]
    interval   = "15s"
    timeout    = "5s"
    grace_period = "30s"
    method     = "GET"
    path       = "/health"

# ── Project preview port range (TCP passthrough) ──────────────────────────────
# Each user project gets a unique port in 3100-3200 range
# Fly.io exposes these as TCP services so users can hit preview URLs
[[services]]
  protocol      = "tcp"
  internal_port = 3100

  [[services.ports]]
    port     = 3100
    handlers = ["tcp"]

# ── Machine/VM settings ───────────────────────────────────────────────────────
[vm]
  cpu_kind  = "shared"
  cpus      = 2
  memory_mb = 2048     # 2GB — adjust based on concurrent users

# ── Persistent volumes (SQLite DB + project files) ────────────────────────────
[mounts]
  source      = "coderai_data"
  destination = "/app/data"

# NOTE: Fly.io does NOT support Docker-in-Docker by default.
# To enable Docker socket access (required to spawn project containers),
# you must use a Fly Machine with --privileged flag.
# Run this once after initial deploy:
#   fly machine update <machine-id> --privileged
# Or use the fly-machines.sh helper script included in this repo.