Atelier

Lesson 2

Infrastructure Terraform

1h

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Vue d'ensemble

flowchart TB
    subgraph GCP["Projet second-project-511608"]
        AR[("Artifact Registry")]
        SA["Compte de service agent-runtime"]
        CR["Cloud Run : assistant-cloud"]
        VX["Vertex AI (Gemini)"]
        SM[("Secret Manager")]
    end
    GH["GitHub Actions"] -->|push image| AR
    GH -->|terraform apply| CR
    AR --> CR
    CR -. identité .-> SA
    SA -->|roles/aiplatform.user| VX
    SA -->|secretAccessor| SM

Variables

infra/variables.tf
variable "project_id" { type = string }
variable "region" {
  type    = string
  default = "europe-west1"
}
variable "image" {
  type        = string
  description = "Image complète, par exemple europe-west1-docker.pkg.dev/p/agents/assistant:sha"
}

Ressources

infra/main.tf
resource "google_artifact_registry_repository" "agents" {
  location      = var.region
  repository_id = "agents"
  format        = "DOCKER"
}

resource "google_service_account" "runtime" {
  account_id   = "agent-runtime"
  display_name = "Runtime de l'agent ADK"
}

resource "google_project_iam_member" "vertex" {
  project = var.project_id
  role    = "roles/aiplatform.user"
  member  = "serviceAccount:${google_service_account.runtime.email}"
}

resource "google_cloud_run_v2_service" "agent" {
  name                = "assistant-cloud"
  location            = var.region
  deletion_protection = false
  ingress             = "INGRESS_TRAFFIC_ALL"

  template {
    service_account = google_service_account.runtime.email
    scaling {
      min_instance_count = 0
      max_instance_count = 5
    }
    containers {
      image = var.image
      resources {
        limits = { cpu = "1", memory = "1Gi" }
      }
      env {
        name  = "GOOGLE_GENAI_USE_VERTEXAI"
        value = "TRUE"
      }
      env {
        name  = "GOOGLE_CLOUD_PROJECT"
        value = var.project_id
      }
      env {
        name  = "GOOGLE_CLOUD_LOCATION"
        value = var.region
      }
    }
  }
}

output "url" {
  value = google_cloud_run_v2_service.agent.uri
}

Le conteneur

Dockerfile
FROM python:3.12-slim
WORKDIR /srv
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY app ./app
ENV PORT=8080
CMD ["sh", "-c", "adk api_server --host 0.0.0.0 --port $PORT ."]

Premier déploiement manuel :

cd infra
terraform init
terraform apply -var project_id=second-project-511608 \
  -var image=europe-west1-docker.pkg.dev/second-project-511608/agents/assistant:v1
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