# CreativeX Score Extraction - Deployment Guide

## Overview

This guide covers deploying the CreativeX score extraction system, which:
1. Monitors Box folder 350605024645 for PDF files
2. Extracts CreativeX scores using LlamaExtract AI agent "Creativex-Extract"
3. Stores results in PostgreSQL database with full JSON
4. Removes processed files from Box
5. Sends email notifications

## Local Development Setup

### 1. Add Environment Variable

Add to your `.env` file:

```bash
# Box Folder Configuration (add to existing Box section)
BOX_ROOT_FOLDER_CREATIVEX=350605024645

# CreativeX Configuration
LLAMA_CLOUD_API_KEY=your_llama_cloud_api_key_here
CREATIVEX_AGENT_NAME=Creativex-Extract
```

### 2. Install Python Dependencies

```bash
cd Python-Version
source venv/bin/activate
pip install llama-cloud-services
```

Or install all dependencies:

```bash
pip install -r requirements.txt
```

### 3. Create Database Table

**If starting fresh (full init):**
```bash
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -f database/init.sql
```

**If database already exists (add table only):**
```bash
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
CREATE TABLE IF NOT EXISTS creativex_scores (
    id SERIAL PRIMARY KEY,
    filename VARCHAR(500) NOT NULL,
    box_file_id VARCHAR(255),
    creativex_id VARCHAR(255),
    creativex_url TEXT,
    quality_score VARCHAR(50),
    full_extraction_data JSONB,
    extracted_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    status VARCHAR(50) DEFAULT 'active',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX IF NOT EXISTS idx_creativex_filename ON creativex_scores(filename);
CREATE INDEX IF NOT EXISTS idx_creativex_box_file ON creativex_scores(box_file_id);
CREATE INDEX IF NOT EXISTS idx_creativex_status ON creativex_scores(status);
"
```

### 4. Verify Table Creation

```bash
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "\d creativex_scores"
```

You should see:
- 10 columns (id, filename, box_file_id, creativex_id, creativex_url, quality_score, full_extraction_data, extracted_at, status, created_at)
- 3 indexes (idx_creativex_filename, idx_creativex_box_file, idx_creativex_status)

### 5. Test Locally

```bash
# Run the script manually
python scripts/creativex_scoring_storing.py
```

**Expected behaviors:**
- If no PDFs in Box folder 350605024645: "No PDF files found" email sent
- If PDFs present: Extraction runs, scores stored, files deleted from Box
- If extraction fails: Partial success email with errors

## Production Server Deployment

### Prerequisites
- Server already running Ferrero automation (A1→A2, A5→A6, etc.)
- Git repository backed up to Bitbucket
- SSH access to production server

### Step 1: Update .env on Server

SSH to server and add:

```bash
cd /opt/ferrero-automation/Python-Version
nano .env
```

Add:
```bash
# Box Folder Configuration (add to existing Box section)
BOX_ROOT_FOLDER_CREATIVEX=350605024645

# CreativeX Configuration
LLAMA_CLOUD_API_KEY=your_production_llama_cloud_api_key
CREATIVEX_AGENT_NAME=Creativex-Extract
```

Save and exit (Ctrl+X, Y, Enter).

### Step 2: Pull Latest Code

```bash
cd /opt/ferrero-automation/Python-Version
git pull origin main
```

This will include:
- `scripts/creativex_scoring_storing.py`
- Updated `database/init.sql`
- Updated `scripts/shared/database.py`
- Updated `scripts/shared/notifier.py`
- Updated `config/config.yaml`
- Updated `requirements.txt`

### Step 3: Install Dependencies

```bash
cd /opt/ferrero-automation/Python-Version
source venv/bin/activate
pip install llama-cloud-services
```

Or update all:
```bash
pip install -r requirements.txt --upgrade
```

### Step 4: Create Database Table

```bash
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
CREATE TABLE IF NOT EXISTS creativex_scores (
    id SERIAL PRIMARY KEY,
    filename VARCHAR(500) NOT NULL,
    box_file_id VARCHAR(255),
    creativex_id VARCHAR(255),
    creativex_url TEXT,
    quality_score VARCHAR(50),
    full_extraction_data JSONB,
    tracking_id VARCHAR(6),
    extracted_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    status VARCHAR(50) DEFAULT 'active',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX IF NOT EXISTS idx_creativex_filename ON creativex_scores(filename);
CREATE INDEX IF NOT EXISTS idx_creativex_box_file ON creativex_scores(box_file_id);
CREATE INDEX IF NOT EXISTS idx_creativex_status ON creativex_scores(status);
CREATE INDEX IF NOT EXISTS idx_creativex_tracking_id ON creativex_scores(tracking_id);
"
```

**If Table Already Exists (Migration):**
```bash
# Add tracking_id column to existing table
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
ALTER TABLE creativex_scores ADD COLUMN tracking_id VARCHAR(6);
CREATE INDEX IF NOT EXISTS idx_creativex_tracking_id ON creativex_scores(tracking_id);
"
```

**Note on Status Values:**
- `active` - Current derivative score (from PDF extraction)
- `superseded` - Old derivative score (version history)
- `master-cx-score` - Master asset score (from A1→A2 DAM metadata, reference only)

### Step 5: Verify Installation

```bash
# Check database table
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "SELECT COUNT(*) FROM creativex_scores;"

# Check script exists
ls -lh scripts/creativex_scoring_storing.py

# Check it's executable
chmod +x scripts/creativex_scoring_storing.py
```

### Step 6: Test Run

```bash
cd /opt/ferrero-automation/Python-Version
source venv/bin/activate
python scripts/creativex_scoring_storing.py
```

Check logs:
```bash
tail -f logs/creativex_scoring.log
```

### Step 7: Add to Cron (Optional - If Automated)

**Note:** User specified this is manual for now, so skip this step initially.

If you want to automate later (e.g., every hour):

```bash
crontab -e
```

Add:
```cron
# CreativeX Score Extraction - Every hour
0 * * * * cd /opt/ferrero-automation/Python-Version && venv/bin/python scripts/creativex_scoring_storing.py >> logs/cron_creativex.log 2>&1
```

Save and exit.

## Configuration Details

### Environment Variables

All configuration is centralized in `.env`:

```bash
# Box folder for CreativeX PDFs
BOX_ROOT_FOLDER_CREATIVEX=350605024645

# LlamaCloud API credentials
LLAMA_CLOUD_API_KEY=your_api_key_here

# Agent name in LlamaExtract
CREATIVEX_AGENT_NAME=Creativex-Extract
```

### Box Folder
- **Folder ID:** Configured via `BOX_ROOT_FOLDER_CREATIVEX` (default: 350605024645)
- **Purpose:** Drop PDFs here for CreativeX score extraction
- **Behavior:** Files are automatically deleted after successful processing

### LlamaExtract Agent
- **Agent Name:** Configured via `CREATIVEX_AGENT_NAME` (default: Creativex-Extract)
- **Expected Fields:**
  - `filename`: Original filename from PDF
  - `creativeXId.id`: CreativeX identifier
  - `creativeXId.url`: CreativeX URL
  - `ferreroCreativeQuality.percentage`: Quality score

### Database Storage
- **Table:** `creativex_scores`
- **Quick Access Fields:** filename, creativex_id, creativex_url, quality_score
- **Full JSON:** Stored in `full_extraction_data` JSONB column
- **Purpose:** Future lookups by filename during DAM uploads

### Email Notifications

**Recipients configured in .env:**
- Success: `REPORT_EMAILS`
- Errors: `ERROR_EMAIL`

**Templates:**
1. `creativex_complete` - All files processed successfully
2. `creativex_partial` - Some files failed
3. `creativex_no_files` - No PDFs found (normal if folder empty)

## Usage

### Manual Execution

```bash
cd /opt/ferrero-automation/Python-Version
source venv/bin/activate
python scripts/creativex_scoring_storing.py
```

### Workflow

### CreativeX PDF Extraction (Manual):
1. Upload PDFs to Box folder 350605024645
2. Run script: `python scripts/creativex_scoring_storing.py`
3. Script downloads each PDF
4. LlamaExtract processes PDF
5. Results stored in database with status='active'
6. PDF deleted from Box
7. Email notification sent

### Master Asset CreativeX (Automatic):
1. A1→A2 downloads master asset from DAM
2. If master has CreativeX score/URL in metadata:
   - Extracts score and URL
   - Stores in database with status='master-cx-score'
   - Links via tracking_id
3. Used for reference/reporting only (not used in A2→A3 uploads)
4. Logs "No CreativeX data" if master not scored (normal)

### Checking Results

**IMPORTANT: Understanding Status Field**

The system uses **soft delete** to preserve history while keeping latest scores easily accessible:
- `status = 'active'` → Latest/current derivative score (from PDF extraction)
- `status = 'superseded'` → Previous derivative score (history/audit trail)
- `status = 'master-cx-score'` → Master asset score (from A1→A2, reference only)

**Status Usage:**
- **Derivative scores (PDF extraction):** When you re-upload the same filename with a new score, the old record is marked `superseded` and a new `active` record is created.
- **Master scores (A1→A2):** Stored with `master-cx-score` status and linked via `tracking_id`. Not used for uploads, only for reference/reporting.

**Query for Latest Scores (Most Common):**
```bash
# View recent ACTIVE extractions (latest scores only)
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT filename, creativex_id, quality_score, extracted_at
FROM creativex_scores
WHERE status = 'active'
ORDER BY extracted_at DESC
LIMIT 10;
"

# Count total ACTIVE scores (unique filenames with latest scores)
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT COUNT(*) as active_scores FROM creativex_scores WHERE status = 'active';
"

# Get latest score for specific filename (use this in A2→A3 workflow)
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT filename, creativex_id, creativex_url, quality_score, extracted_at
FROM creativex_scores
WHERE filename = 'yourfile.mp4' AND status = 'active';
"
```

**Query for Master Scores (Reference/Reporting):**
```bash
# Get master score for specific tracking ID
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT filename, quality_score, tracking_id, creativex_url
FROM creativex_scores
WHERE tracking_id = '7xXgKp' AND status = 'master-cx-score';
"

# View all master scores
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT tracking_id, filename, quality_score, extracted_at
FROM creativex_scores
WHERE status = 'master-cx-score'
ORDER BY extracted_at DESC
LIMIT 10;
"
```

**Query for History/Audit (All Versions):**
```bash
# View ALL versions of a file (including superseded)
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT filename, quality_score, status, tracking_id, extracted_at
FROM creativex_scores
WHERE filename = 'yourfile.mp4'
ORDER BY extracted_at DESC;
"

# Count total records by status
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT
    COUNT(*) as total_records,
    COUNT(*) FILTER (WHERE status = 'active') as active_derivative_scores,
    COUNT(*) FILTER (WHERE status = 'superseded') as superseded_records,
    COUNT(*) FILTER (WHERE status = 'master-cx-score') as master_scores
FROM creativex_scores;
"

# See score changes over time for a file
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT
    filename,
    quality_score,
    status,
    extracted_at,
    CASE
        WHEN status = 'active' THEN 'CURRENT'
        ELSE 'OLD VERSION'
    END as version_label
FROM creativex_scores
WHERE filename LIKE '%Nutella%'
ORDER BY filename, extracted_at DESC;
"
```

### Viewing Full JSON

```bash
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
SELECT filename, full_extraction_data::jsonb
FROM creativex_scores
WHERE filename = 'example.pdf';
"
```

## Future Integration: A2→A3 Workflow

### How to Use in DAM Upload Scripts

The database method `db.get_creativex_score_by_filename(filename)` is ready for use in other scripts.

**IMPORTANT:** The method automatically filters for `status = 'active'` to always return the **latest** score.

**Example usage in a2_to_a3_upload_polling.py:**

```python
# In a2_to_a3_upload_polling.py or similar
filename = "Brand_Country_Language_123456.mp4"

# Lookup CreativeX score (returns ONLY active/latest score)
score_data = db.get_creativex_score_by_filename(filename)

if score_data:
    # Add to DAM metadata
    dam_metadata['FERRERO.FIELD.CREATIVEX_SCORE'] = score_data['quality_score']
    dam_metadata['FERRERO.FIELD.CREATIVEX_URL'] = score_data['creativex_url']
    dam_metadata['FERRERO.FIELD.CREATIVEX_ID'] = score_data['creativex_id']

    # Optional: Access full JSON for additional fields
    full_data = score_data['full_extraction_data']
    dam_metadata['FERRERO.FIELD.CREATIVEX_BRAND'] = full_data['data']['brand']
    dam_metadata['FERRERO.FIELD.CREATIVEX_MARKET'] = full_data['data']['market']

    logger.info("Added CreativeX score {} to DAM metadata".format(
        score_data['quality_score']
    ))
else:
    logger.warning("No CreativeX score found for: {}".format(filename))
```

### Query Logic in get_creativex_score_by_filename()

The method uses this query internally:
```sql
SELECT filename, creativex_id, creativex_url, quality_score,
       box_file_id, full_extraction_data, extracted_at
FROM creativex_scores
WHERE filename = %s AND status = 'active'
ORDER BY extracted_at DESC
LIMIT 1
```

This ensures you **always get the latest score**, even if multiple versions exist in history.

### Behavior Summary for A2→A3 Integration

| Scenario | What Happens |
|----------|--------------|
| Score exists for filename | Returns latest `active` score |
| Multiple scores exist (history) | Returns only the newest `active` one |
| No score exists | Returns `None` |
| File re-scored (same filename) | Old score marked `superseded`, new score is `active` |

**Key Takeaway:** You never need to worry about duplicates or history in A2→A3 workflow. The query automatically handles it.

## Troubleshooting

### "llama-cloud-services not installed"
```bash
source venv/bin/activate
pip install llama-cloud-services
```

### "Agent 'Creativex-Extract' not found"
- Verify agent name in LlamaCloud portal
- Check spelling matches exactly: `Creativex-Extract`
- Verify API key is correct

### "No PDF files found"
- This is normal if Box folder 350605024645 is empty
- Upload test PDF to folder and re-run

### "Database connection failed"
```bash
# Check PostgreSQL is running
docker ps | grep ferrero

# Test connection
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "SELECT 1;"
```

### "Email not sending"
- Check SMTP configuration in .env
- Verify Mailgun credentials
- Check logs for detailed error

### Files not deleted from Box
- This is expected for failed extractions
- Only successful extractions delete files
- Failed files remain for manual review/retry

## Rollback Instructions

If you need to rollback:

### Remove Database Table
```bash
PGPASSWORD=ferrero_pass_2025 psql -h localhost -p 5437 -U ferrero_user -d ferrero_tracking -c "
DROP TABLE IF EXISTS creativex_scores CASCADE;
"
```

### Remove from Cron
```bash
crontab -e
# Delete the CreativeX line, save and exit
```

### Revert Code
```bash
cd /opt/ferrero-automation/Python-Version
git revert <commit-hash>
git push origin main
```

## Support

- **Logs:** `logs/creativex_scoring.log`
- **Database Queries:** See "Checking Results" section above
- **Email Test:** Check SMTP settings and recipients list
- **LlamaCloud Issues:** Verify API key and agent configuration

## Summary Checklist

**Local Setup:**
- [ ] Add `LLAMA_CLOUD_API_KEY` to .env
- [ ] Install `llama-cloud-services` package
- [ ] Create `creativex_scores` table
- [ ] Test script runs successfully

**Production Deployment:**
- [ ] Git pull latest code
- [ ] Add `LLAMA_CLOUD_API_KEY` to server .env
- [ ] Install dependencies on server
- [ ] Create database table on server
- [ ] Test run on server
- [ ] Verify email notifications
- [ ] (Optional) Add to cron if automating

**Post-Deployment:**
- [ ] Upload test PDF to Box folder 350605024645
- [ ] Run script and verify extraction
- [ ] Check database record created
- [ ] Verify PDF deleted from Box
- [ ] Confirm email notification received