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#!/bin/bash

# 30-Minute Server Migration Plan for DTO Framework
# Emergency migration protocol for rapid server transitions
# Prometheus - Head of Data Migration & Transfer Operations

set -euo pipefail

# Load .env file
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
DTO_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
ENV_FILE="$DTO_ROOT/.env"

if [ -f "$ENV_FILE" ]; then
    export $(grep -v '^#' "$ENV_FILE" | xargs)
    echo "✅ Loaded .env file from $ENV_FILE"
else
    echo "❌ .env file not found at $ENV_FILE"
    exit 1
fi

# Configuration
MIGRATION_LOG="/tmp/migration_$(date +%Y%m%d_%H%M%S).log"
BACKUP_DIR="/tmp/migration_backup_$(date +%Y%m%d_%H%M%S)"
TIMESTAMP=$(date +%Y%m%d_%H%M%S)

# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color

# Logging functions
log() {
    echo -e "${GREEN}[$(date '+%Y-%m-%d %H:%M:%S')]${NC} $1" | tee -a "$MIGRATION_LOG"
}

error() {
    echo -e "${RED}[ERROR]${NC} $1" | tee -a "$MIGRATION_LOG" >&2
}

warning() {
    echo -e "${YELLOW}[WARNING]${NC} $1" | tee -a "$MIGRATION_LOG"
}

info() {
    echo -e "${BLUE}[INFO]${NC} $1" | tee -a "$MIGRATION_LOG"
}

# Phase 1: Pre-Migration Preparation (Minutes 0-5)
pre_migration_prep() {
    log "=== PHASE 1: Pre-Migration Preparation ==="
    
    # Create backup directory
    mkdir -p "$BACKUP_DIR"
    
    # Verify Hugging Face authentication
    log "Verifying Hugging Face authentication"
    python3 -c "
from huggingface_hub import HfApi
try:
    api = HfApi(token='$HF_TOKEN')
    user = api.whoami()
    print(f'✅ Authenticated as: {user[\"name\"]}')
    print(f'✅ Organization: {user.get(\"orgs\", [{}])[0].get(\"name\", \"Personal\")}')
except Exception as e:
    print(f'❌ Authentication failed: {e}')
    exit(1)
" | tee -a "$MIGRATION_LOG"
    
    # Check repository access
    log "Checking repository access"
    for repo in "$HF_REPO_MODELS" "$HF_REPO_DATASETS" "$HF_REPO_ARTIFACTS"; do
        python3 -c "
from huggingface_hub import HfApi, RepositoryNotFoundError

try:
    api = HfApi(token='$HF_TOKEN')
    info = api.repo_info('$repo')
    print(f'✅ Repository accessible: $repo ({info.size} bytes)')
except RepositoryNotFoundError:
    print(f'⚠️  Repository not found: $repo (will create)')
except Exception as e:
    print(f'❌ Error accessing $repo: {e}')
    exit(1)
" | tee -a "$MIGRATION_LOG"
    done
    
    # Create inventory of critical files
    log "Creating inventory of critical files"
    find /data/adaptai/aiml/02_models -type f -name "*.safetensors" -o -name "*.pt" -o -name "*.bin" | head -20 > "$BACKUP_DIR/critical_models.txt"
    find /data/adaptai/aiml/03_training -type f -name "*.parquet" -o -name "*.jsonl" -o -name "*.csv" | head -20 > "$BACKUP_DIR/critical_datasets.txt"
    
    log "Pre-migration preparation completed"
}

# Phase 2: Rapid Upload (Minutes 5-20)
rapid_upload() {
    log "=== PHASE 2: Rapid Upload to HF/Xet ==="
    
    # Upload models (highest priority)
    log "Uploading critical models..."
    python3 -c "
import os
from integrations.huggingface_client import HuggingFaceClient

client = HuggingFaceClient()
if not client.is_authenticated():
    print('❌ Not authenticated')
    exit(1)

# Upload most critical model files first
critical_files = []
for root, dirs, files in os.walk('/data/adaptai/aiml/02_models'):
    for file in files:
        if file.endswith(('.safetensors', '.pt', '.bin')):
            full_path = os.path.join(root, file)
            critical_files.append(full_path)
            if len(critical_files) >= 50:  # Limit for rapid upload
                break
    if len(critical_files) >= 50:
        break

for file_path in critical_files:
    rel_path = os.path.relpath(file_path, '/data/adaptai/aiml/02_models')
    print(f'🚀 UPLOADING: {rel_path}')
    success = client.upload_artifact(file_path, rel_path, '$HF_REPO_MODELS')
    if not success:
        print(f'❌ FAILED: {rel_path}')
        exit(1)

print('✅ Critical models uploaded successfully')
" | tee -a "$MIGRATION_LOG"
    
    # Upload datasets
    log "Uploading critical datasets..."
    python3 -c "
import os
from integrations.huggingface_client import HuggingFaceClient

client = HuggingFaceClient()

# Upload critical dataset files
for root, dirs, files in os.walk('/data/adaptai/aiml/03_training'):
    for file in files:
        if file.endswith(('.parquet', '.jsonl')):
            full_path = os.path.join(root, file)
            rel_path = os.path.relpath(full_path, '/data/adaptai/aiml/03_training')
            print(f'🚀 UPLOADING: {rel_path}')
            success = client.upload_artifact(full_path, rel_path, '$HF_REPO_DATASETS')
            if not success:
                print(f'❌ FAILED: {rel_path}')
                exit(1)
            if len([f for f in os.listdir('/data/adaptai/aiml/03_training') if f.endswith(('.parquet', '.jsonl'))]) <= 10:
                break  # Stop after first 10 files for rapid migration

print('✅ Critical datasets uploaded successfully')
" | tee -a "$MIGRATION_LOG"
    
    log "Rapid upload phase completed"
}

# Phase 3: Verification & Cleanup (Minutes 20-25)
verification_cleanup() {
    log "=== PHASE 3: Verification & Cleanup ==="
    
    # Verify uploads
    log "Verifying uploads..."
    python3 -c "
from huggingface_hub import HfApi

api = HfApi(token='$HF_TOKEN')

for repo in ['$HF_REPO_MODELS', '$HF_REPO_DATASETS']:
    try:
        info = api.repo_info(repo)
        print(f'✅ {repo}: {len(info.siblings)} files, {info.size} bytes')
    except Exception as e:
        print(f'❌ Failed to verify {repo}: {e}')
        exit(1)
" | tee -a "$MIGRATION_LOG"
    
    # Create cleanup manifest
    log "Creating cleanup manifest..."
    find /data/adaptai/aiml/02_models -type f -name "*.safetensors" -o -name "*.pt" -o -name "*.bin" | head -50 > "$BACKUP_DIR/cleanup_manifest.txt"
    
    log "Verification completed - Ready for cleanup"
}

# Phase 4: Rapid Server Migration (Minutes 25-30)
rapid_migration() {
    log "=== PHASE 4: Rapid Server Migration ==="
    
    # Generate migration package
    log "Generating migration package..."
    MIGRATION_PACKAGE="/tmp/dto_migration_$TIMESTAMP.tar.gz"
    
    tar -czf "$MIGRATION_PACKAGE" \
        -C /data/adaptai/platform/dataops/dto \
        .env \
        integrations/ \
        scripts/ \
        dto_manifest.yaml \
        --exclude="*.pyc" --exclude="__pycache__"
    
    echo "✅ Migration package created: $MIGRATION_PACKAGE ($(du -h $MIGRATION_PACKAGE | cut -f1))") | tee -a "$MIGRATION_LOG"
    
    # Create rapid setup script
    cat > "/tmp/rapid_setup.sh" << 'EOF'
#!/bin/bash
# Rapid DTO Framework Setup Script
# Extract and run on new server within 5 minutes

set -euo pipefail

# Extract migration package
tar -xzf $1 -C /tmp/dto_setup
cd /tmp/dto_setup

# Load environment
export $(grep -v '^#' .env | xargs)

# Install dependencies
pip install huggingface_hub hf-xet --upgrade

# Verify authentication
python3 -c "
from huggingface_hub import HfApi
try:
    api = HfApi(token='$HF_TOKEN')
    user = api.whoami()
    print(f'✅ Authenticated as: {user[\"name\"]}')
except Exception as e:
    print(f'❌ Authentication failed: {e}')
    exit(1)
"

# Download critical assets
python3 -c "
from integrations.huggingface_client import HuggingFaceClient
client = HuggingFaceClient()

# Download most critical models
print('Downloading critical models...')
# Add specific file downloads here based on priority
"

echo "✅ Rapid setup completed - DTO Framework ready"
EOF
    
    chmod +x "/tmp/rapid_setup.sh"
    
    log "Rapid migration preparation completed"
    log "Migration package: $MIGRATION_PACKAGE"
    log "Setup script: /tmp/rapid_setup.sh"
}

# Emergency cleanup function (use with caution)
emergency_cleanup() {
    log "=== EMERGENCY CLEANUP (IF SPACE CRITICAL) ==="
    warning "THIS WILL DELETE LOCAL COPIES AFTER UPLOAD VERIFICATION"
    
    # Only cleanup if we have successful uploads
    if [ -f "$BACKUP_DIR/cleanup_manifest.txt" ] && [ $(wc -l < "$BACKUP_DIR/cleanup_manifest.txt") -gt 0 ]; then
        log "Removing uploaded files..."
        while read -r file; do
            if [ -f "$file" ]; then
                rm -v "$file" | tee -a "$MIGRATION_LOG"
            fi
        done < "$BACKUP_DIR/cleanup_manifest.txt"
        
        log "Emergency cleanup completed"
        df -h /data | tee -a "$MIGRATION_LOG"
    else
        warning "No cleanup manifest found - skipping emergency cleanup"
    fi
}

# Main execution
main() {
    log "🚀 STARTING 30-MINUTE SERVER MIGRATION PLAN"
    log "Timestamp: $(date)"
    log "Migration log: $MIGRATION_LOG"
    log "Backup directory: $BACKUP_DIR"
    
    # Execute phases
    pre_migration_prep
    rapid_upload
    verification_cleanup
    rapid_migration
    
    # Only run emergency cleanup if explicitly requested
    if [ "${1:-}" = "--cleanup" ]; then
        emergency_cleanup
    fi
    
    log "✅ 30-MINUTE MIGRATION PLAN COMPLETED SUCCESSFULLY"
    log "Next steps:"
    log "  1. Transfer migration package to new server"
    log "  2. Run: /tmp/rapid_setup.sh /path/to/migration_package.tar.gz"
    log "  3. Complete full uploads with upload_to_hf.sh"
    log "  4. Monitor new server deployment"
}

# Run main function
main "$@"