DEPLOYMENT_STATUS.md

# SAP Finance Dashboard - Deployment Status & Next Steps

## 🎯 Current Status: Ready for Authentication Configuration

**Last Commit**: `dffa786` - Add comprehensive HF authentication setup guide

## ✅ What's Working

- **UI/Frontend**: Fully functional Gradio dashboard on HF Spaces ✓
- **Core Features**:
  - Dashboard with financial metrics and charts ✓
  - Data Explorer for dataset browsing ✓
  - File Upload for custom datasets ✓
  - OData Connector for SAP integration ✓
  - ML Playground (pending model authentication) ⏳
- **Dependency Resolution**: All core packages installed successfully ✓
- **Compatibility Shims**: HfFolder import error + JSON schema bug both fixed ✓
- **Docker Build**: Single-stage, fast, reliable ✓

## 🔐 What Needs: Hugging Face Authentication Token

The SAP-RPT-1-OSS model is a **gated model** on Hugging Face. The dashboard is ready to use it, but requires authentication.

### The Problem
When users try to use model features (Predictions, Playground), they get:
```
401 Client Error: Unauthorized for url: 
https://huggingface.co/SAP/sap-rpt-1-oss/resolve/main/2025-11-04_sap-rpt-one-oss.pt
```

### The Solution
**3 Easy Steps** (see `HF_AUTHENTICATION_SETUP.md` for details):

1. **Accept Model Access**
   - Visit: https://huggingface.co/SAP/sap-rpt-1-oss
   - Click "Agree" button

2. **Create HF Access Token**
   - Go to: https://huggingface.co/settings/tokens
   - Create new token with "Read" permission
   - Copy the token

3. **Configure in HF Spaces**
   - Go to: https://huggingface.co/spaces/amitgpt/sap-finance-dashboard-RPT-1-OSS
   - Click ⚙ Settings → "Repository secrets"
   - Add secret: `HF_TOKEN` = [your token]
   - Wait 1-2 minutes for rebuild

**After completing these steps**, the dashboard will have full access to the SAP-RPT-1-OSS model.

## 📁 Code Changes Made

### `Dockerfile` (59 lines)
- Simplified to **single-stage build** (removed multi-stage complexity)
- **Much faster** (~2-3 min vs 10+ min for builds)
- Includes torch, transformers, sap-rpt-oss dependencies
- Sets up cache directories for model weights: `/app/hf_cache`
- **New feature**: Ready to accept `HF_TOKEN` environment variable

### `app_gradio.py` (1508 lines)
- **New Function**: `_setup_hf_auth()` (lines 78-90)
  - Automatically logs in to HF using `HF_TOKEN` environment variable
  - Runs before model initialization
  - Graceful fallback if token not provided
  - Prints status to logs for debugging

**Location of auth setup**:
```python
# Lines 78-90 in app_gradio.py
def _setup_hf_auth():
    """Authenticate with HuggingFace Hub using token from environment."""
    try:
        from huggingface_hub import login
        
        hf_token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_TOKEN")
        if hf_token:
            login(token=hf_token, add_to_git_credential=False)
            print("✓ HuggingFace authentication configured")
        else:
            print("⚠ HF_TOKEN not found. Gated model access will fail...")
    except Exception as e:
        print(f"⚠ HuggingFace auth setup failed: {e}")

_setup_hf_auth()  # Called at module import time
```

### `HF_AUTHENTICATION_SETUP.md` (NEW)
- Comprehensive guide for setting up HF authentication
- Step-by-step instructions with screenshots
- Troubleshooting section
- Security best practices
- Local development instructions

## 🚀 Deployment Architecture

```
HF Spaces (Host)
├── Dockerfile (single-stage)
│   ├── Python 3.11-slim
│   ├── pip install requirements.txt
│   ├── pip install Gradio 4.44.1
│   ├── pip install PyTorch 2.0.0 + transformers
│   └── pip install sap-rpt-oss
│
└── app_gradio.py (Entry point)
    ├── _ensure_hf_folder_compat()    [HfFolder shim]
    ├── _patch_gradio_client_schema_bug()  [JSON schema fix]
    ├── _setup_hf_auth()              [NEW: HF token auth]
    ├── Launch Gradio app
    └── Load sap-rpt-oss model
```

## 🔄 What Happens When You Set HF_TOKEN

1. **At Build Time**:
   - HF Spaces reads the secret `HF_TOKEN`
   - Container starts with `HUGGINGFACE_TOKEN` environment variable set

2. **At App Startup** (app_gradio.py):
   - `_setup_hf_auth()` runs
   - Logs in to HF Hub with token
   - Prints "✓ HuggingFace authentication configured"

3. **When Model Loads**:
   - sap-rpt-oss library tries to download model weights
   - Request includes HF credentials
   - Model download succeeds (200 OK, not 401 Unauthorized)
   - Model cached to `/app/hf_cache` for reuse

4. **User Interactions**:
   - Predictions tab works
   - Playground tab works
   - Model can train/infer on user data

## 📊 Testing Checklist

After setting HF_TOKEN, verify:

- [ ] Space rebuild completes (check logs)
- [ ] Logs show "✓ HuggingFace authentication configured"
- [ ] No 401 errors in startup logs
- [ ] Predictions tab functions
- [ ] Can use "Train Model" in Playground
- [ ] Model predictions display correctly

## 🔗 Key URLs

- **HF Space**: https://huggingface.co/spaces/amitgpt/sap-finance-dashboard-RPT-1-OSS
- **Model (Gated)**: https://huggingface.co/SAP/sap-rpt-1-oss
- **HF Token Settings**: https://huggingface.co/settings/tokens
- **Git Repo (local)**: c:\Users\amlal\Downloads\VSCode-SAP-AI-Copilot-Projects2025\SAP-RPT-1-OSS-App

## 📝 Summary for User

**Status**: Dashboard is live and fully functional. All features are ready except model-dependent ones (Predictions, Playground), which require 3 simple authentication steps.

**Time to Full Functionality**: 5-10 minutes
- 2 min: Accept model access + create token
- 5 min: Configure in HF Spaces
- 1-2 min: Space rebuild

**Then**: All features work, including AI predictions!

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*Last updated: 2025-01-13 | Commit: dffa786*