foxhunt/infra/modules/kapsule/main.tf

resource "scaleway_vpc_private_network" "foxhunt" {
  name   = "${var.cluster_name}-pn"
  region = var.region
}

# NAT gateway (foxhunt-gw) is owned by the dedicated `public-gateway` module (IPAM mode +
# dedicated IP), which depends on this module's private_network_id output. The legacy
# gateway/dhcp/gateway_network resources that used to live here were a pre-refactor duplicate
# (never in this module's state) and were removed 2026-06-21 to stop `terragrunt apply` here
# from trying to create a second gateway. See reference_ci_pool_and_tfstate / incident_dns_deadlock.

resource "scaleway_k8s_cluster" "foxhunt" {
  name                        = var.cluster_name
  version                     = var.k8s_version
  cni                         = "cilium"
  region                      = var.region
  delete_additional_resources = true
  private_network_id          = scaleway_vpc_private_network.foxhunt.id

  auto_upgrade {
    enable                        = true
    maintenance_window_start_hour = 4
    maintenance_window_day        = "sunday"
  }

  autoscaler_config {
    disable_scale_down            = false
    scale_down_delay_after_add    = "10m"
    scale_down_unneeded_time      = "10m"
    estimator                     = "binpacking"
    ignore_daemonsets_utilization = true
  }
}

# Platform pool — runs everything: app services, databases, GitLab, monitoring
resource "scaleway_k8s_pool" "platform" {
  cluster_id  = scaleway_k8s_cluster.foxhunt.id
  name        = "platform"
  node_type   = var.platform_type
  size        = 1
  min_size    = 1
  max_size    = var.platform_max_size
  autoscaling        = true
  autohealing        = true
  public_ip_disabled = var.public_ip_disabled
  region             = var.region

  lifecycle {
    ignore_changes = [size]
  }
}

# L40S training pool (48GB VRAM, CUDA CC 89 — hyperopt + supervised training)
resource "scaleway_k8s_pool" "ci_training_l40s" {
  count       = var.enable_ci_training_l40s_pool ? 1 : 0
  cluster_id  = scaleway_k8s_cluster.foxhunt.id
  name        = "ci-training-l40s"
  node_type   = var.ci_training_l40s_type
  size        = 1
  min_size    = 0
  max_size    = var.ci_training_l40s_max_size
  autoscaling        = true
  autohealing        = true
  public_ip_disabled = var.public_ip_disabled
  region             = var.region

  lifecycle {
    ignore_changes = [size]
  }
}

# H100 training pool (80GB VRAM, CUDA CC 90 — RL hyperopt)
resource "scaleway_k8s_pool" "ci_training_h100" {
  count       = var.enable_ci_training_h100_pool ? 1 : 0
  cluster_id  = scaleway_k8s_cluster.foxhunt.id
  name        = "ci-training-h100"
  node_type   = var.ci_training_h100_type
  size        = 1
  min_size    = 0  # Scale to zero when idle. Cold start: ~15 min NVIDIA driver install.
  max_size    = var.ci_training_h100_max_size
  autoscaling        = true
  autohealing        = true
  public_ip_disabled = var.public_ip_disabled
  region             = var.region

  lifecycle {
    ignore_changes = [size]
  }
}

# NOTE: ci-training-h100x2 and ci-training-h100-sxm pools removed
# 2026-05-16 — Scaleway account doesn't have quota for the SXM variant
# (cp_servers_type_H100_SXM_2_80G 0/0), and the H100x2 variant is
# more expensive than our actual usage justifies. Keeping the regular
# single-GPU H100 pool (ci_training_h100) + the L40S pool covers
# every current training workload.

# CPU compile pool (POP2-HC — high CPU, no GPU, for cargo check/build)
resource "scaleway_k8s_pool" "ci_compile_cpu" {
  count       = var.enable_ci_compile_cpu_pool ? 1 : 0
  cluster_id  = scaleway_k8s_cluster.foxhunt.id
  name        = "ci-compile-cpu"
  node_type   = var.ci_compile_cpu_type
  size        = 1
  min_size    = 0
  max_size    = var.ci_compile_cpu_max_size
  autoscaling        = true
  autohealing        = true
  public_ip_disabled = var.public_ip_disabled
  region             = var.region

  lifecycle {
    ignore_changes = [size]
  }
}

# High-memory CPU compile pool (POP2-HM — same CPU count as ci-compile-cpu
# but 4× the RAM; reserved for rare full-rebuild precompute_features runs
# that can't fit on the standard 64GB nodes). min_size=0 + size=0 initial
# so the pool costs nothing when idle — autoscaler provisions one node
# only when a pod targets `nodeSelector: ci-compile-cpu-hm`.
resource "scaleway_k8s_pool" "ci_compile_cpu_hm" {
  count       = var.enable_ci_compile_cpu_hm_pool ? 1 : 0
  cluster_id  = scaleway_k8s_cluster.foxhunt.id
  name        = "ci-compile-cpu-hm"
  node_type   = var.ci_compile_cpu_hm_type
  size        = 0
  min_size    = 0
  max_size    = var.ci_compile_cpu_hm_max_size
  autoscaling        = true
  autohealing        = true
  public_ip_disabled = var.public_ip_disabled
  region             = var.region

  lifecycle {
    ignore_changes = [size]
  }
}