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https://github.com/azaion/ai-training.git
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Update autopilot workflow and documentation for project cycle completion
- Modified the existing-code workflow to automatically loop back to New Task after project completion without user confirmation. - Updated the autopilot state to reflect the current step as `done` and status as `completed`. - Clarified the deployment status report by specifying non-deployed services and their purposes. These changes enhance the automation of task management and improve documentation clarity.
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#!/bin/bash
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PROJECT_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
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usage() {
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cat <<EOF
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Usage: $(basename "$0") [--help]
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Pull Azaion AI Training Docker images from the container registry.
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Environment:
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DOCKER_REGISTRY Registry URL (required)
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DOCKER_IMAGE_TAG Image tag to pull (default: latest)
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EOF
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exit 0
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}
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[[ "${1:-}" == "--help" ]] && usage
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if [[ -f "$PROJECT_ROOT/.env" ]]; then
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set -a
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source "$PROJECT_ROOT/.env"
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set +a
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fi
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DOCKER_REGISTRY="${DOCKER_REGISTRY:?DOCKER_REGISTRY is required}"
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DOCKER_IMAGE_TAG="${DOCKER_IMAGE_TAG:-latest}"
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IMAGES=(
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"${DOCKER_REGISTRY}/azaion/training:${DOCKER_IMAGE_TAG}"
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"${DOCKER_REGISTRY}/azaion/annotation-queue:${DOCKER_IMAGE_TAG}"
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)
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echo "Pulling images (tag: ${DOCKER_IMAGE_TAG})..."
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for image in "${IMAGES[@]}"; do
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echo " Pulling $image ..."
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if docker pull "$image"; then
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echo " OK: $image"
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else
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echo " FAILED: $image"
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exit 1
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fi
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done
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echo "All images pulled successfully."
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