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trading/docs/plans/2026-02-23-deployment-plan.md
Viktor Barzin 82d30bde80
add deployment implementation plan
2026-02-23 22:22:42 +00:00

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Trading Bot Deployment — Implementation Plan

For Claude: REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.

Goal: Deploy the trading bot to Kubernetes, accessible at trading.viktorbarzin.me behind Authentik, with CI/CD via Woodpecker+Forgejo.

Architecture: 2 Kubernetes Deployments (frontend pod with dashboard+api-gateway containers; workers pod with 6 background service containers). Reuses cluster PostgreSQL, Redis (DB 4), and Ollama. CI builds Docker images on push to Forgejo, deploys via K8s API patch.

Tech Stack: Terraform/Terragrunt, Woodpecker CI, Forgejo, Docker Hub, Kubernetes, Authentik forward-auth.

Task 1: Create Forgejo Repository

Step 1: Create the repo on Forgejo

Open https://forgejo.viktorbarzin.me and create a new repository named trading-bot under your personal account. Leave it empty (no README, no .gitignore).

Step 2: Add Forgejo as a remote and push

cd /Users/viktorbarzin/code/trading-bot
git remote add forgejo https://forgejo.viktorbarzin.me/ViktorBarzin/trading-bot.git
git push forgejo master

Verify: git remote -v shows both origin and forgejo.

Step 3: Commit

No file changes — just remote configuration.

Task 2: Add Forgejo integration to Woodpecker CI

Woodpecker currently only supports GitHub. To add Forgejo, add WOODPECKER_FORGEJO env vars to the Helm values.

Files:

  • Modify: /Users/viktorbarzin/code/infra/stacks/woodpecker/values.yaml
  • Modify: /Users/viktorbarzin/code/infra/stacks/woodpecker/main.tf (add Forgejo variables)
  • Modify: /Users/viktorbarzin/code/infra/terraform.tfvars (add Forgejo OAuth credentials)

Step 1: Create an OAuth2 application in Forgejo

Go to https://forgejo.viktorbarzin.me/user/settings/applications (or site admin settings). Create an OAuth2 application:

  • Application Name: Woodpecker CI
  • Redirect URI: https://ci.viktorbarzin.me/authorize

Note the Client ID and Client Secret.

Step 2: Add variables to terraform.tfvars

Add these lines to /Users/viktorbarzin/code/infra/terraform.tfvars:

# Woodpecker + Forgejo
woodpecker_forgejo_client_id     = "<client-id-from-step-1>"
woodpecker_forgejo_client_secret = "<client-secret-from-step-1>"
woodpecker_forgejo_url           = "https://forgejo.viktorbarzin.me"

Step 3: Add variables to Woodpecker main.tf

Add to the variables section of /Users/viktorbarzin/code/infra/stacks/woodpecker/main.tf:

variable "woodpecker_forgejo_client_id" { type = string }
variable "woodpecker_forgejo_client_secret" { type = string }
variable "woodpecker_forgejo_url" { type = string }

Update the templatefile call for values.yaml to pass these:

values = [
  templatefile("${path.module}/values.yaml", {
    github_client_id         = var.woodpecker_github_client_id
    github_client_secret     = var.woodpecker_github_client_secret
    agent_secret             = var.woodpecker_agent_secret
    db_password              = var.woodpecker_db_password
    postgresql_host          = var.postgresql_host
    forgejo_client_id        = var.woodpecker_forgejo_client_id
    forgejo_client_secret    = var.woodpecker_forgejo_client_secret
    forgejo_url              = var.woodpecker_forgejo_url
  })
]

Step 4: Add Forgejo env vars to values.yaml

Add to the server.env section of /Users/viktorbarzin/code/infra/stacks/woodpecker/values.yaml:

    WOODPECKER_FORGEJO: "true"
    WOODPECKER_FORGEJO_CLIENT: "${forgejo_client_id}"
    WOODPECKER_FORGEJO_SECRET: "${forgejo_client_secret}"
    WOODPECKER_FORGEJO_URL: "${forgejo_url}"

Step 5: Apply Woodpecker stack

cd /Users/viktorbarzin/code/infra/stacks/woodpecker && terragrunt apply --non-interactive

Step 6: Activate the repo in Woodpecker

Go to https://ci.viktorbarzin.me, log in, find the trading-bot repo and activate it.

Step 7: Commit infra changes

cd /Users/viktorbarzin/code/infra
git add stacks/woodpecker/values.yaml stacks/woodpecker/main.tf
git commit -m "[ci skip] add Forgejo integration to Woodpecker CI"

Task 3: Create Woodpecker CI pipeline

Files:

  • Create: /Users/viktorbarzin/code/trading-bot/.woodpecker.yml

Step 1: Write the pipeline

Create /Users/viktorbarzin/code/trading-bot/.woodpecker.yml:

when:
  - event: push
    branch: master

clone:
  git:
    image: woodpeckerci/plugin-git
    settings:
      attempts: 5
      backoff: 10s

steps:
  - name: test
    image: python:3.12-slim
    commands:
      - python -m venv .venv
      - .venv/bin/pip install --quiet --upgrade pip
      - .venv/bin/pip install --quiet -e ".[api,news,sentiment,trading,backtester,dev]"
      - .venv/bin/pytest tests/ -v -m "not integration" --tb=short

  - name: build-service-image
    image: plugins/docker
    depends_on:
      - test
    environment:
      DOCKER_BUILDKIT: 1
    settings:
      username: viktorbarzin
      password:
        from_secret: dockerhub-token
      repo: viktorbarzin/trading-bot-service
      dockerfile: docker/Dockerfile.service
      context: .
      build_args:
        - EXTRAS=api,news,sentiment,trading,backtester
        - SERVICE_MODULE=api_gateway
      cache_from:
        - viktorbarzin/trading-bot-service:latest
      tags:
        - "build-${CI_PIPELINE_NUMBER}"

  - name: build-dashboard-image
    image: plugins/docker
    depends_on:
      - test
    environment:
      DOCKER_BUILDKIT: 1
    settings:
      username: viktorbarzin
      password:
        from_secret: dockerhub-token
      repo: viktorbarzin/trading-bot-dashboard
      dockerfile: docker/Dockerfile.dashboard
      context: .
      cache_from:
        - viktorbarzin/trading-bot-dashboard:latest
      tags:
        - "build-${CI_PIPELINE_NUMBER}"

  - name: publish-images
    image: alpine
    depends_on:
      - build-service-image
      - build-dashboard-image
    environment:
      DOCKERHUB_TOKEN:
        from_secret: dockerhub-token
    commands:
      - apk add --no-cache skopeo
      # Tag service image
      - 'skopeo copy --src-creds "viktorbarzin:$DOCKERHUB_TOKEN" --dest-creds "viktorbarzin:$DOCKERHUB_TOKEN" "docker://docker.io/viktorbarzin/trading-bot-service:build-${CI_PIPELINE_NUMBER}" "docker://docker.io/viktorbarzin/trading-bot-service:${CI_PIPELINE_NUMBER}"'
      - 'skopeo copy --src-creds "viktorbarzin:$DOCKERHUB_TOKEN" --dest-creds "viktorbarzin:$DOCKERHUB_TOKEN" "docker://docker.io/viktorbarzin/trading-bot-service:build-${CI_PIPELINE_NUMBER}" "docker://docker.io/viktorbarzin/trading-bot-service:latest"'
      # Tag dashboard image
      - 'skopeo copy --src-creds "viktorbarzin:$DOCKERHUB_TOKEN" --dest-creds "viktorbarzin:$DOCKERHUB_TOKEN" "docker://docker.io/viktorbarzin/trading-bot-dashboard:build-${CI_PIPELINE_NUMBER}" "docker://docker.io/viktorbarzin/trading-bot-dashboard:${CI_PIPELINE_NUMBER}"'
      - 'skopeo copy --src-creds "viktorbarzin:$DOCKERHUB_TOKEN" --dest-creds "viktorbarzin:$DOCKERHUB_TOKEN" "docker://docker.io/viktorbarzin/trading-bot-dashboard:build-${CI_PIPELINE_NUMBER}" "docker://docker.io/viktorbarzin/trading-bot-dashboard:latest"'

  - name: update-deployment
    image: alpine
    depends_on:
      - publish-images
    commands:
      - apk add --no-cache curl jq
      - |
        TOKEN=$(cat /var/run/secrets/kubernetes.io/serviceaccount/token)
        RESTART_AT=$(date -u +%Y-%m-%dT%H:%M:%SZ)
        API="https://kubernetes:6443/apis/apps/v1/namespaces/trading-bot/deployments"

        for DEPLOY in trading-bot-frontend trading-bot-workers; do
          STATUS=$(curl -sfk "$API/$DEPLOY" \
            -H "Authorization: Bearer $TOKEN" \
            -H "Accept: application/json")

          # Build the containers patch — update all container images
          if [ "$DEPLOY" = "trading-bot-frontend" ]; then
            IMAGE_DASHBOARD="viktorbarzin/trading-bot-dashboard:${CI_PIPELINE_NUMBER}"
            IMAGE_SERVICE="viktorbarzin/trading-bot-service:${CI_PIPELINE_NUMBER}"
            PATCH="{\"spec\":{\"template\":{\"metadata\":{\"annotations\":{\"kubectl.kubernetes.io/restartedAt\":\"$RESTART_AT\"}},\"spec\":{\"containers\":[{\"name\":\"dashboard\",\"image\":\"$IMAGE_DASHBOARD\"},{\"name\":\"api-gateway\",\"image\":\"$IMAGE_SERVICE\"}]}}}}"
          else
            IMAGE_SERVICE="viktorbarzin/trading-bot-service:${CI_PIPELINE_NUMBER}"
            PATCH="{\"spec\":{\"template\":{\"metadata\":{\"annotations\":{\"kubectl.kubernetes.io/restartedAt\":\"$RESTART_AT\"}},\"spec\":{\"containers\":[{\"name\":\"news-fetcher\",\"image\":\"$IMAGE_SERVICE\"},{\"name\":\"sentiment-analyzer\",\"image\":\"$IMAGE_SERVICE\"},{\"name\":\"signal-generator\",\"image\":\"$IMAGE_SERVICE\"},{\"name\":\"trade-executor\",\"image\":\"$IMAGE_SERVICE\"},{\"name\":\"learning-engine\",\"image\":\"$IMAGE_SERVICE\"},{\"name\":\"market-data\",\"image\":\"$IMAGE_SERVICE\"}]}}}}"
          fi

          echo "Patching $DEPLOY..."
          curl -sf -X PATCH "$API/$DEPLOY" \
            -H "Authorization: Bearer $TOKEN" \
            -H "Content-Type: application/strategic-merge-patch+json" \
            -k -d "$PATCH" \
            | jq '{name: .metadata.name, generation: .metadata.generation}'
        done

  - name: verify-deploy
    image: alpine
    depends_on:
      - update-deployment
    commands:
      - apk add --no-cache curl jq
      - |
        TOKEN=$(cat /var/run/secrets/kubernetes.io/serviceaccount/token)
        BASE_API="https://kubernetes:6443/api/v1/namespaces/trading-bot/pods"

        for DEPLOY in trading-bot-frontend trading-bot-workers; do
          echo "Verifying $DEPLOY..."
          PODS_API="$BASE_API?labelSelector=app%3D$DEPLOY"
          FOUND=0
          for i in $(seq 1 60); do
            RAW=$(curl -sfk "$PODS_API" \
              -H "Authorization: Bearer $TOKEN" \
              -H "Accept: application/json")

            READY_COUNT=$(echo "$RAW" | jq '[.items[] | select(
              .status.phase == "Running" and
              ([.status.containerStatuses[]? | .ready] | all)
            )] | length' 2>/dev/null || echo 0)

            echo "  Attempt $i/60: $READY_COUNT pod(s) fully ready for $DEPLOY"

            if [ "$READY_COUNT" -gt 0 ] 2>/dev/null; then
              echo "$DEPLOY is live!"
              FOUND=1
              break
            fi
            sleep 5
          done
          if [ "$FOUND" -ne 1 ]; then
            echo "ERROR: $DEPLOY not ready within 5 minutes"
            exit 1
          fi
        done

  - name: slack
    image: woodpeckerci/plugin-slack
    settings:
      webhook:
        from_secret: slack-webhook-url
      channel: general
    when:
      - status: [success, failure]

Step 2: Commit

cd /Users/viktorbarzin/code/trading-bot
git add .woodpecker.yml
git commit -m "add Woodpecker CI pipeline"

Task 4: Create K8s nginx.conf for production

The existing docker/nginx.conf proxies to api-gateway:8000 (docker-compose hostname). In K8s, both containers share a pod, so nginx needs to proxy to localhost:8000.

Files:

  • Create: /Users/viktorbarzin/code/trading-bot/docker/nginx-k8s.conf

Step 1: Create the production nginx config

Create /Users/viktorbarzin/code/trading-bot/docker/nginx-k8s.conf — same as nginx.conf but replacing all api-gateway:8000 with localhost:8000:

# nginx configuration for K8s deployment.
# Dashboard + api-gateway share a pod — proxy to localhost:8000.

server {
    listen 80;
    server_name _;

    root /usr/share/nginx/html;
    index index.html;

    location / {
        try_files $uri $uri/ /index.html;
    }

    location /api/auth/ {
        proxy_pass http://localhost:8000/auth/;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /api/ {
        proxy_pass http://localhost:8000/api/;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /auth/ {
        proxy_pass http://localhost:8000;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /health {
        proxy_pass http://localhost:8000;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
    }

    location /ws {
        proxy_pass http://localhost:8000;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
        proxy_read_timeout 86400;
    }
}

Step 2: Update Dockerfile.dashboard to accept a build arg for which nginx config to use

Modify /Users/viktorbarzin/code/trading-bot/docker/Dockerfile.dashboard to add a build arg:

# ...existing content...
FROM nginx:alpine

RUN rm /etc/nginx/conf.d/default.conf

ARG NGINX_CONF=docker/nginx.conf
COPY ${NGINX_CONF} /etc/nginx/conf.d/default.conf

COPY --from=builder /app/dist /usr/share/nginx/html

EXPOSE 80

CMD ["nginx", "-g", "daemon off;"]

Then in the Woodpecker pipeline, build with build_args: NGINX_CONF=docker/nginx-k8s.conf.

Step 3: Commit

cd /Users/viktorbarzin/code/trading-bot
git add docker/nginx-k8s.conf docker/Dockerfile.dashboard
git commit -m "add K8s nginx config with localhost proxy"

Task 5: Add secrets to terraform.tfvars

Files:

  • Modify: /Users/viktorbarzin/code/infra/terraform.tfvars

Step 1: Add trading bot secrets

Add to /Users/viktorbarzin/code/infra/terraform.tfvars:

# Trading Bot
trading_bot_db_password           = "<generate-a-password>"
trading_bot_alpaca_api_key        = "PKA3BZ2YE6GCBXG7QO36YMR5JM"
trading_bot_alpaca_secret_key     = "8h7rPPtdFTEnFskEH7ue87JvaxAnq1UQTw886hCm3MmZ"
trading_bot_jwt_secret            = "76774bf1e07a173335313940d8201b6a5a7d43844973ebcd088cf3a0540db557"
trading_bot_reddit_client_id      = "local_dev"
trading_bot_reddit_client_secret  = "local_dev"
trading_bot_alpha_vantage_api_key = "M0I3TWB6VKU0UF51"
trading_bot_fmp_api_key           = "34zqbQFeRxYvPtzp3Y5QLKPVPztkZyfK"

Generate the DB password: python -c "import secrets; print(secrets.token_hex(16))"

Step 2: Commit (file is git-crypt encrypted)

cd /Users/viktorbarzin/code/infra
git add terraform.tfvars
git commit -m "[ci skip] add trading bot secrets"

Task 6: Create Terraform stack for trading-bot

Files:

  • Create: /Users/viktorbarzin/code/infra/stacks/trading-bot/terragrunt.hcl
  • Create: /Users/viktorbarzin/code/infra/stacks/trading-bot/main.tf
  • Create: /Users/viktorbarzin/code/infra/stacks/trading-bot/secrets (symlink)

Step 1: Create directory and terragrunt.hcl

mkdir -p /Users/viktorbarzin/code/infra/stacks/trading-bot
ln -s ../../secrets /Users/viktorbarzin/code/infra/stacks/trading-bot/secrets

Create /Users/viktorbarzin/code/infra/stacks/trading-bot/terragrunt.hcl:

include "root" {
  path = find_in_parent_folders()
}

dependency "platform" {
  config_path  = "../platform"
  skip_outputs = true
}

Step 2: Create main.tf

Create /Users/viktorbarzin/code/infra/stacks/trading-bot/main.tf:

# ─────────────────────────────────────────────────────────────────────────────
# Variables
# ─────────────────────────────────────────────────────────────────────────────
variable "tls_secret_name" { type = string }
variable "nfs_server" { type = string }
variable "postgresql_host" { type = string }
variable "redis_host" { type = string }
variable "ollama_host" { type = string }
variable "dbaas_postgresql_root_password" { type = string }

variable "trading_bot_db_password" { type = string }
variable "trading_bot_alpaca_api_key" { type = string }
variable "trading_bot_alpaca_secret_key" { type = string }
variable "trading_bot_jwt_secret" { type = string }
variable "trading_bot_reddit_client_id" { type = string }
variable "trading_bot_reddit_client_secret" { type = string }
variable "trading_bot_alpha_vantage_api_key" { type = string }
variable "trading_bot_fmp_api_key" { type = string }

# ─────────────────────────────────────────────────────────────────────────────
# Namespace
# ─────────────────────────────────────────────────────────────────────────────
resource "kubernetes_namespace" "trading_bot" {
  metadata {
    name = "trading-bot"
    labels = {
      tier                               = local.tiers.edge
      "resource-governance/custom-quota" = "true"
    }
  }
}

module "tls_secret" {
  source          = "../../modules/kubernetes/setup_tls_secret"
  namespace       = kubernetes_namespace.trading_bot.metadata[0].name
  tls_secret_name = var.tls_secret_name
}

# ─────────────────────────────────────────────────────────────────────────────
# Database init job — create user, database, and attempt TimescaleDB extension
# ─────────────────────────────────────────────────────────────────────────────
resource "kubernetes_job" "db_init" {
  metadata {
    name      = "trading-bot-db-init"
    namespace = kubernetes_namespace.trading_bot.metadata[0].name
  }
  spec {
    template {
      metadata {}
      spec {
        restart_policy = "Never"
        container {
          name    = "db-init"
          image   = "postgres:16-alpine"
          command = ["sh", "-c", <<-EOT
            set -e
            # Create role if not exists
            PGPASSWORD='${var.dbaas_postgresql_root_password}' psql -h ${var.postgresql_host} -U root -tc \
              "SELECT 1 FROM pg_roles WHERE rolname='trading'" | grep -q 1 || \
              PGPASSWORD='${var.dbaas_postgresql_root_password}' psql -h ${var.postgresql_host} -U root -c \
              "CREATE ROLE trading WITH LOGIN PASSWORD '${var.trading_bot_db_password}'"

            # Create database if not exists
            PGPASSWORD='${var.dbaas_postgresql_root_password}' psql -h ${var.postgresql_host} -U root -tc \
              "SELECT 1 FROM pg_database WHERE datname='trading'" | grep -q 1 || \
              PGPASSWORD='${var.dbaas_postgresql_root_password}' psql -h ${var.postgresql_host} -U root -c \
              "CREATE DATABASE trading OWNER trading"

            # Grant privileges
            PGPASSWORD='${var.dbaas_postgresql_root_password}' psql -h ${var.postgresql_host} -U root -c \
              "GRANT ALL PRIVILEGES ON DATABASE trading TO trading"

            # Try to enable TimescaleDB (may fail if not installed — that's OK)
            PGPASSWORD='${var.dbaas_postgresql_root_password}' psql -h ${var.postgresql_host} -U root -d trading -c \
              "CREATE EXTENSION IF NOT EXISTS timescaledb CASCADE" 2>/dev/null || \
              echo "WARNING: TimescaleDB extension not available — hypertables will not be created"
            EOT
          ]
        }
      }
    }
    backoff_limit = 3
  }
  wait_for_completion = true
  timeouts {
    create = "2m"
  }
}

# ─────────────────────────────────────────────────────────────────────────────
# Migrations job — run alembic upgrade head
# ─────────────────────────────────────────────────────────────────────────────
resource "kubernetes_job" "migrations" {
  depends_on = [kubernetes_job.db_init]

  metadata {
    name      = "trading-bot-migrations"
    namespace = kubernetes_namespace.trading_bot.metadata[0].name
  }
  spec {
    template {
      metadata {}
      spec {
        restart_policy = "Never"
        container {
          name    = "migrations"
          image   = "viktorbarzin/trading-bot-service:latest"
          command = ["python", "-m", "alembic", "upgrade", "head"]
          env {
            name  = "TRADING_DATABASE_URL"
            value = "postgresql+asyncpg://trading:${var.trading_bot_db_password}@${var.postgresql_host}:5432/trading"
          }
          env {
            name  = "TRADING_REDIS_URL"
            value = "redis://${var.redis_host}:6379/4"
          }
        }
      }
    }
    backoff_limit = 3
  }
  wait_for_completion = true
  timeouts {
    create = "5m"
  }
}

# ─────────────────────────────────────────────────────────────────────────────
# Shared environment variables (local for DRY)
# ─────────────────────────────────────────────────────────────────────────────
locals {
  common_env = {
    TRADING_DATABASE_URL              = "postgresql+asyncpg://trading:${var.trading_bot_db_password}@${var.postgresql_host}:5432/trading"
    TRADING_REDIS_URL                 = "redis://${var.redis_host}:6379/4"
    TRADING_LOG_LEVEL                 = "INFO"
    TRADING_ALPACA_API_KEY            = var.trading_bot_alpaca_api_key
    TRADING_ALPACA_SECRET_KEY         = var.trading_bot_alpaca_secret_key
    TRADING_ALPACA_BASE_URL           = "https://paper-api.alpaca.markets"
    TRADING_PAPER_TRADING             = "true"
    TRADING_JWT_SECRET_KEY            = var.trading_bot_jwt_secret
    TRADING_REDDIT_CLIENT_ID          = var.trading_bot_reddit_client_id
    TRADING_REDDIT_CLIENT_SECRET      = var.trading_bot_reddit_client_secret
    TRADING_REDDIT_USER_AGENT         = "trading-bot/0.1"
    TRADING_OLLAMA_HOST               = "http://${var.ollama_host}:11434"
    TRADING_OLLAMA_MODEL              = "gemma3"
    TRADING_WATCHLIST                  = "[\"AAPL\",\"TSLA\",\"NVDA\",\"MSFT\",\"GOOGL\"]"
    TRADING_BAR_TIMEFRAME             = "5Min"
    TRADING_POLL_INTERVAL_SECONDS     = "60"
    TRADING_HISTORICAL_BARS           = "100"
    TRADING_SNAPSHOT_INTERVAL_SECONDS = "60"
    TRADING_ALPHA_VANTAGE_API_KEY     = var.trading_bot_alpha_vantage_api_key
    TRADING_FMP_API_KEY               = var.trading_bot_fmp_api_key
    TRADING_FUNDAMENTALS_CACHE_TTL_HOURS = "24"
    TRADING_RP_ID                     = "trading.viktorbarzin.me"
    TRADING_RP_NAME                   = "Trading Bot"
    TRADING_RP_ORIGIN                 = "https://trading.viktorbarzin.me"
    TRADING_CORS_ORIGINS              = "[\"https://trading.viktorbarzin.me\"]"
  }
}

# ─────────────────────────────────────────────────────────────────────────────
# Deployment: frontend (dashboard + api-gateway)
# ─────────────────────────────────────────────────────────────────────────────
resource "kubernetes_deployment" "frontend" {
  depends_on = [kubernetes_job.migrations]

  metadata {
    name      = "trading-bot-frontend"
    namespace = kubernetes_namespace.trading_bot.metadata[0].name
    labels = {
      app  = "trading-bot-frontend"
      tier = local.tiers.edge
    }
  }
  spec {
    replicas = 1
    strategy {
      type = "RollingUpdate"
      rolling_update {
        max_unavailable = 0
        max_surge       = 1
      }
    }
    selector {
      match_labels = {
        app = "trading-bot-frontend"
      }
    }
    template {
      metadata {
        labels = {
          app = "trading-bot-frontend"
        }
      }
      spec {
        # Container 1: Dashboard (nginx)
        container {
          name              = "dashboard"
          image             = "viktorbarzin/trading-bot-dashboard:latest"
          image_pull_policy = "Always"
          port {
            name           = "http"
            container_port = 80
            protocol       = "TCP"
          }
          resources {
            requests = {
              cpu    = "10m"
              memory = "32Mi"
            }
            limits = {
              cpu    = "200m"
              memory = "128Mi"
            }
          }
        }

        # Container 2: API Gateway
        container {
          name              = "api-gateway"
          image             = "viktorbarzin/trading-bot-service:latest"
          image_pull_policy = "Always"
          command           = ["python", "-m", "services.api_gateway.main"]
          port {
            name           = "api"
            container_port = 8000
            protocol       = "TCP"
          }
          dynamic "env" {
            for_each = local.common_env
            content {
              name  = env.key
              value = env.value
            }
          }
          resources {
            requests = {
              cpu    = "50m"
              memory = "128Mi"
            }
            limits = {
              cpu    = "1000m"
              memory = "512Mi"
            }
          }
        }
      }
    }
  }
  lifecycle {
    ignore_changes = [
      spec[0].template[0].spec[0].container[0].image,
      spec[0].template[0].spec[0].container[1].image,
    ]
  }
}

# ─────────────────────────────────────────────────────────────────────────────
# Deployment: workers (6 background services)
# ─────────────────────────────────────────────────────────────────────────────
resource "kubernetes_deployment" "workers" {
  depends_on = [kubernetes_job.migrations]

  metadata {
    name      = "trading-bot-workers"
    namespace = kubernetes_namespace.trading_bot.metadata[0].name
    labels = {
      app  = "trading-bot-workers"
      tier = local.tiers.edge
    }
  }
  spec {
    replicas = 1
    strategy {
      type = "Recreate"
    }
    selector {
      match_labels = {
        app = "trading-bot-workers"
      }
    }
    template {
      metadata {
        labels = {
          app = "trading-bot-workers"
        }
      }
      spec {
        container {
          name              = "news-fetcher"
          image             = "viktorbarzin/trading-bot-service:latest"
          image_pull_policy = "Always"
          command           = ["python", "-m", "services.news_fetcher.main"]
          dynamic "env" {
            for_each = local.common_env
            content {
              name  = env.key
              value = env.value
            }
          }
          resources {
            requests = {
              cpu    = "10m"
              memory = "64Mi"
            }
            limits = {
              cpu    = "500m"
              memory = "256Mi"
            }
          }
        }

        container {
          name              = "sentiment-analyzer"
          image             = "viktorbarzin/trading-bot-service:latest"
          image_pull_policy = "Always"
          command           = ["python", "-m", "services.sentiment_analyzer.main"]
          dynamic "env" {
            for_each = local.common_env
            content {
              name  = env.key
              value = env.value
            }
          }
          resources {
            requests = {
              cpu    = "100m"
              memory = "512Mi"
            }
            limits = {
              cpu    = "2000m"
              memory = "2Gi"
            }
          }
        }

        container {
          name              = "signal-generator"
          image             = "viktorbarzin/trading-bot-service:latest"
          image_pull_policy = "Always"
          command           = ["python", "-m", "services.signal_generator.main"]
          dynamic "env" {
            for_each = local.common_env
            content {
              name  = env.key
              value = env.value
            }
          }
          resources {
            requests = {
              cpu    = "10m"
              memory = "64Mi"
            }
            limits = {
              cpu    = "500m"
              memory = "256Mi"
            }
          }
        }

        container {
          name              = "trade-executor"
          image             = "viktorbarzin/trading-bot-service:latest"
          image_pull_policy = "Always"
          command           = ["python", "-m", "services.trade_executor.main"]
          dynamic "env" {
            for_each = local.common_env
            content {
              name  = env.key
              value = env.value
            }
          }
          resources {
            requests = {
              cpu    = "10m"
              memory = "64Mi"
            }
            limits = {
              cpu    = "500m"
              memory = "256Mi"
            }
          }
        }

        container {
          name              = "learning-engine"
          image             = "viktorbarzin/trading-bot-service:latest"
          image_pull_policy = "Always"
          command           = ["python", "-m", "services.learning_engine.main"]
          dynamic "env" {
            for_each = local.common_env
            content {
              name  = env.key
              value = env.value
            }
          }
          resources {
            requests = {
              cpu    = "10m"
              memory = "64Mi"
            }
            limits = {
              cpu    = "500m"
              memory = "256Mi"
            }
          }
        }

        container {
          name              = "market-data"
          image             = "viktorbarzin/trading-bot-service:latest"
          image_pull_policy = "Always"
          command           = ["python", "-m", "services.market_data.main"]
          dynamic "env" {
            for_each = local.common_env
            content {
              name  = env.key
              value = env.value
            }
          }
          resources {
            requests = {
              cpu    = "10m"
              memory = "64Mi"
            }
            limits = {
              cpu    = "500m"
              memory = "256Mi"
            }
          }
        }
      }
    }
  }
  lifecycle {
    ignore_changes = [
      spec[0].template[0].spec[0].container[0].image,
      spec[0].template[0].spec[0].container[1].image,
      spec[0].template[0].spec[0].container[2].image,
      spec[0].template[0].spec[0].container[3].image,
      spec[0].template[0].spec[0].container[4].image,
      spec[0].template[0].spec[0].container[5].image,
    ]
  }
}

# ─────────────────────────────────────────────────────────────────────────────
# Service
# ─────────────────────────────────────────────────────────────────────────────
resource "kubernetes_service" "frontend" {
  metadata {
    name      = "trading-bot-frontend"
    namespace = kubernetes_namespace.trading_bot.metadata[0].name
    labels    = { app = "trading-bot-frontend" }
  }
  spec {
    selector = { app = "trading-bot-frontend" }
    port {
      port        = 80
      target_port = 80
    }
  }
}

# ─────────────────────────────────────────────────────────────────────────────
# Ingress — protected by Authentik
# ─────────────────────────────────────────────────────────────────────────────
module "ingress" {
  source          = "../../modules/kubernetes/ingress_factory"
  namespace       = kubernetes_namespace.trading_bot.metadata[0].name
  name            = "trading"
  service_name    = "trading-bot-frontend"
  tls_secret_name = var.tls_secret_name
  protected       = true
}

Step 3: Commit

cd /Users/viktorbarzin/code/infra
git add stacks/trading-bot/
git commit -m "[ci skip] add trading-bot Terraform stack"

Task 7: Add Cloudflare DNS record

Files:

  • Modify: /Users/viktorbarzin/code/infra/terraform.tfvars (add trading to Cloudflare DNS entries)

Step 1: Find the Cloudflare DNS section in terraform.tfvars

Look for the cloudflare_dns_records or similar variable and add "trading" to the list. This depends on how DNS records are structured in the tfvars — check the existing entries for the pattern.

Step 2: Apply platform stack (DNS is managed there)

cd /Users/viktorbarzin/code/infra/stacks/platform && terragrunt apply --non-interactive

Step 3: Commit

cd /Users/viktorbarzin/code/infra
git add terraform.tfvars
git commit -m "[ci skip] add trading.viktorbarzin.me DNS record"

Task 8: Add NFS export for trading-bot

Step 1: Add the NFS path

Add /mnt/main/trading-bot to /Users/viktorbarzin/code/infra/secrets/nfs_directories.txt (keep sorted).

Step 2: Run the NFS exports script

cd /Users/viktorbarzin/code/infra/secrets && bash nfs_exports.sh

Step 3: Commit

cd /Users/viktorbarzin/code/infra
git add secrets/nfs_directories.txt
git commit -m "[ci skip] add trading-bot NFS export"

Task 9: Build and push initial Docker images

Before Terraform can create the deployments, the images must exist on Docker Hub.

Step 1: Build and push the service image

cd /Users/viktorbarzin/code/trading-bot
docker build -f docker/Dockerfile.service \
  --build-arg EXTRAS="api,news,sentiment,trading,backtester" \
  --build-arg SERVICE_MODULE="api_gateway" \
  -t viktorbarzin/trading-bot-service:latest .
docker push viktorbarzin/trading-bot-service:latest

Step 2: Build and push the dashboard image

cd /Users/viktorbarzin/code/trading-bot
docker build -f docker/Dockerfile.dashboard \
  --build-arg NGINX_CONF=docker/nginx-k8s.conf \
  -t viktorbarzin/trading-bot-dashboard:latest .
docker push viktorbarzin/trading-bot-dashboard:latest

Task 10: Apply the Terraform stack

Step 1: Apply

cd /Users/viktorbarzin/code/infra/stacks/trading-bot && terragrunt apply --non-interactive

Step 2: Verify pods are running

kubectl --kubeconfig /Users/viktorbarzin/code/infra/config get pods -n trading-bot

Expected: trading-bot-frontend-* and trading-bot-workers-* pods in Running state.

Step 3: Verify ingress

kubectl --kubeconfig /Users/viktorbarzin/code/infra/config get ingress -n trading-bot

Expected: Ingress for trading.viktorbarzin.me.

Step 4: Test access

Open https://trading.viktorbarzin.me — should redirect to Authentik login. After authenticating, the trading bot dashboard should load.

Task 11: Configure Woodpecker secrets

The CI pipeline needs the dockerhub-token and slack-webhook-url secrets. These may already exist as organization-level secrets in Woodpecker.

Step 1: Check existing secrets

Go to https://ci.viktorbarzin.me → trading-bot repo → Settings → Secrets.

Step 2: Add secrets if missing

  • dockerhub-token: Your Docker Hub access token
  • slack-webhook-url: Slack webhook URL for notifications

Task 12: Push to Forgejo and verify CI

Step 1: Push all changes to Forgejo

cd /Users/viktorbarzin/code/trading-bot
git push forgejo master

Step 2: Monitor the pipeline

Go to https://ci.viktorbarzin.me and watch the trading-bot pipeline. It should:

  1. Run tests
  2. Build both Docker images
  3. Publish to Docker Hub
  4. Patch K8s deployments
  5. Verify pod readiness
  6. Send Slack notification

Step 3: Verify the app is accessible

Open https://trading.viktorbarzin.me and confirm the dashboard loads after Authentik authentication.