scripts/deploy_hf_direct.py

#!/usr/bin/env python3
"""Direct HuggingFace upload using Python API"""

from huggingface_hub import HfApi, login
import os
from pathlib import Path
import shutil

# Configuration
HF_TOKEN = os.environ.get("HF_TOKEN")
SPACE_NAME = "Kraft102/widgetdc-cortex"
DEPLOY_DIR = "hf-deploy-python"

print("🚀 Direct HuggingFace Deployment via Python API")
print("=" * 50)

# Step 1: Login
print("\n1️⃣ Logging in to HuggingFace...")
login(token=HF_TOKEN)
print("✅ Logged in")

# Step 2: Initialize API
print("\n2️⃣ Initializing HF API...")
api = HfApi()
print("✅ API ready")

# Step 3: Create Space if doesn't exist
print(f"\n3️⃣ Creating Space (if needed): {SPACE_NAME}...")
try:
    api.create_repo(
        repo_id=SPACE_NAME,
        repo_type="space",
        space_sdk="docker",
        exist_ok=True
    )
    print("✅ Space ready")
except Exception as e:
    print(f"⚠️  Space creation: {e} (might already exist)")

# Step 4: Prepare files
print(f"\n4️⃣ Preparing deployment files...")
if Path(DEPLOY_DIR).exists():
    shutil.rmtree(DEPLOY_DIR)
Path(DEPLOY_DIR).mkdir()

# Copy backend
print("  Copying backend...")
shutil.copytree("apps/backend/src", f"{DEPLOY_DIR}/apps/backend/src")
shutil.copytree("apps/backend/prisma", f"{DEPLOY_DIR}/apps/backend/prisma")
shutil.copy("apps/backend/package.json", f"{DEPLOY_DIR}/apps/backend/")
shutil.copy("apps/backend/tsconfig.json", f"{DEPLOY_DIR}/apps/backend/")

# Copy packages
print("  Copying packages...")
shutil.copytree("packages/domain-types/src", f"{DEPLOY_DIR}/packages/domain-types/src")
shutil.copy("packages/domain-types/package.json", f"{DEPLOY_DIR}/packages/domain-types/")
shutil.copy("packages/domain-types/tsconfig.json", f"{DEPLOY_DIR}/packages/domain-types/")

shutil.copytree("packages/mcp-types/src", f"{DEPLOY_DIR}/packages/mcp-types/src")
shutil.copy("packages/mcp-types/package.json", f"{DEPLOY_DIR}/packages/mcp-types/")
shutil.copy("packages/mcp-types/tsconfig.json", f"{DEPLOY_DIR}/packages/mcp-types/")

# Copy root files
print("  Copying root files...")
shutil.copy("package.json", f"{DEPLOY_DIR}/")
if Path("tsconfig.json").exists():
    shutil.copy("tsconfig.json", f"{DEPLOY_DIR}/")

# Copy Dockerfile
if Path("scripts/hf-backend.dockerfile").exists():
    shutil.copy("scripts/hf-backend.dockerfile", f"{DEPLOY_DIR}/Dockerfile")

# Create README
print("  Creating README...")
readme_content = """---
title: WidgeTDC Cortex
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
hardware: t4-small
---

# WidgeTDC Cortex - Neural Backend

Enterprise AI backend with GPU-accelerated embeddings and MCP agents.

## Features
- GPU-accelerated embeddings via sentence-transformers
- MCP (Model Context Protocol) tool execution
- Real-time WebSocket communication
- Health monitoring at /health endpoint
"""
Path(f"{DEPLOY_DIR}/README.md").write_text(readme_content)

print("✅ Files prepared")

# Step 5: Upload to Space
print(f"\n5️⃣ Uploading to HuggingFace Space: {SPACE_NAME}...")
try:
    api.upload_folder(
        folder_path=DEPLOY_DIR,
        repo_id=SPACE_NAME,
        repo_type="space",
        commit_message=f"Deploy from Python API - {Path.cwd().name}"
    )
    print("✅ Upload complete!")
except Exception as e:
    print(f"❌ Upload failed: {e}")
    raise

# Success
print("\n" + "=" * 50)
print("🎉 DEPLOYMENT SUCCESSFUL!")
print(f"📍 Space URL: https://huggingface.co/spaces/{SPACE_NAME}")
print(f"🔗 API Endpoint: https://{SPACE_NAME.replace('/', '-')}.hf.space/")
print("\n⏳ Space is now building Docker image (5-10 minutes)")
print("🔑 Don't forget to add environment variables in Space settings!")