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fd357f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 | #!/bin/bash
# Hugging Face Upload Script for DTO Framework
# Uses HF Hub with Xet backend for all uploads
# 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 $ENV_FILE"
exit 1
fi
# Configuration
HF_HOME="${HF_HOME:-/workspace/.hf_home}"
LOG_DIR="/var/log/dto"
TIMESTAMP=$(date +%Y%m%d_%H%M%S)
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# Logging function
log() {
echo -e "${GREEN}[$(date '+%Y-%m-%d %H:%M:%S')]${NC} $1"
}
error() {
echo -e "${RED}[ERROR]${NC} $1" >&2
}
warning() {
echo -e "${YELLOW}[WARNING]${NC} $1"
}
# Verify authentication
verify_auth() {
log "Verifying Hugging Face authentication"
if [ -z "$HF_TOKEN" ]; then
error "HF_TOKEN not set. Please check .env file"
exit 1
fi
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\", \"None\")}')
except Exception as e:
print(f'❌ Authentication failed: {e}')
exit(1)
"
}
# Upload models to HF Hub
upload_models() {
local model_dir="$1"
local repo_id="${2:-$HF_REPO_MODELS}"
log "Uploading models from $model_dir to $repo_id"
python3 -c "
import os
from integrations.huggingface_client import HuggingFaceClient
client = HuggingFaceClient()
if not client.is_authenticated():
print('❌ Not authenticated')
exit(1)
# Upload all model files
for root, dirs, files in os.walk('$model_dir'):
for file in files:
if file.endswith(('.safetensors', '.pt', '.bin', '.json')):
full_path = os.path.join(root, file)
rel_path = os.path.relpath(full_path, '$model_dir')
print(f'📤 Uploading: {rel_path}')
success = client.upload_artifact(full_path, rel_path, '$repo_id')
if not success:
print(f'❌ Failed to upload: {rel_path}')
exit(1)
print('✅ All models uploaded successfully')
"
}
# Upload datasets to HF Hub
upload_datasets() {
local data_dir="$1"
local repo_id="${2:-$HF_REPO_DATASETS}"
log "Uploading datasets from $data_dir to $repo_id"
python3 -c "
import os
from integrations.huggingface_client import HuggingFaceClient
client = HuggingFaceClient()
if not client.is_authenticated():
print('❌ Not authenticated')
exit(1)
# Upload all dataset files
for root, dirs, files in os.walk('$data_dir'):
for file in files:
if file.endswith(('.parquet', '.jsonl', '.csv', '.txt')):
full_path = os.path.join(root, file)
rel_path = os.path.relpath(full_path, '$data_dir')
print(f'📤 Uploading: {rel_path}')
success = client.upload_artifact(full_path, rel_path, '$repo_id')
if not success:
print(f'❌ Failed to upload: {rel_path}')
exit(1)
print('✅ All datasets uploaded successfully')
"
}
# Upload artifacts
upload_artifacts() {
local artifacts_dir="$1"
local repo_id="${2:-$HF_REPO_ARTIFACTS}"
log "Uploading artifacts from $artifacts_dir to $repo_id"
python3 -c "
import os
from integrations.huggingface_client import HuggingFaceClient
client = HuggingFaceClient()
if not client.is_authenticated():
print('❌ Not authenticated')
exit(1)
# Upload all artifact files
for root, dirs, files in os.walk('$artifacts_dir'):
for file in files:
full_path = os.path.join(root, file)
rel_path = os.path.relpath(full_path, '$artifacts_dir')
print(f'📤 Uploading: {rel_path}')
success = client.upload_artifact(full_path, rel_path, '$repo_id')
if not success:
print(f'❌ Failed to upload: {rel_path}')
exit(1)
print('✅ All artifacts uploaded successfully')
"
}
# Create repository if it doesn't exist
create_repo_if_needed() {
local repo_id="$1"
local repo_type="${2:-model}"
log "Ensuring repository exists: $repo_id"
python3 -c "
from huggingface_hub import HfApi, RepositoryNotFoundError
api = HfApi(token='$HF_TOKEN')
try:
api.repo_info('$repo_id')
print('✅ Repository already exists')
except RepositoryNotFoundError:
print('📦 Creating new repository')
api.create_repo('$repo_id', repo_type='$repo_type', private=True)
print('✅ Repository created successfully')
except Exception as e:
print(f'❌ Error checking repository: {e}')
exit(1)
"
}
# Main upload function
main() {
log "Starting DTO Framework upload to Hugging Face Hub"
# Verify authentication first
verify_auth
# Create repositories if they don't exist
create_repo_if_needed "$HF_REPO_MODELS" "model"
create_repo_if_needed "$HF_REPO_DATASETS" "dataset"
create_repo_if_needed "$HF_REPO_ARTIFACTS" "model"
# Upload everything
upload_models "/data/adaptai/aiml/02_models" "$HF_REPO_MODELS"
upload_datasets "/data/adaptai/aiml/03_training" "$HF_REPO_DATASETS"
upload_artifacts "/data/adaptai/aiml/04_data" "$HF_REPO_ARTIFACTS"
log "✅ All uploads completed successfully!"
log "📊 Models: https://huggingface.co/$HF_REPO_MODELS"
log "📊 Datasets: https://huggingface.co/$HF_REPO_DATASETS"
log "📊 Artifacts: https://huggingface.co/$HF_REPO_ARTIFACTS"
}
# Run main function
main "$@" |