#!/usr/bin/env python3
"""
Test script for Office document processing
"""
import json
import requests
from pathlib import Path
import time

API_BASE = "http://localhost:12010/api/v1"
USERNAME = "admin"
PASSWORD = "admin123"

def login():
    """Login and get JWT token"""
    print("Step 1: Logging in...")
    response = requests.post(
        f"{API_BASE}/auth/login",
        json={"username": USERNAME, "password": PASSWORD}
    )
    response.raise_for_status()

    data = response.json()
    token = data["access_token"]
    print(f"✓ Login successful. Token expires in: {data['expires_in']} seconds ({data['expires_in']//3600} hours)")
    return token

def upload_file(token, file_path):
    """Upload file and create batch"""
    print(f"\nStep 2: Uploading file: {file_path.name}...")
    with open(file_path, 'rb') as f:
        files = {'files': (file_path.name, f, 'application/vnd.openxmlformats-officedocument.wordprocessingml.document')}
        response = requests.post(
            f"{API_BASE}/upload",
            headers={"Authorization": f"Bearer {token}"},
            files=files,
            data={"batch_name": "Office Document Test"}
        )
    response.raise_for_status()
    result = response.json()
    print(f"✓ File uploaded and batch created:")
    print(f"  Batch ID: {result['id']}")
    print(f"  Total files: {result['total_files']}")
    print(f"  Status: {result['status']}")
    return result['id']

def trigger_ocr(token, batch_id):
    """Trigger OCR processing"""
    print(f"\nStep 3: Triggering OCR processing...")
    response = requests.post(
        f"{API_BASE}/ocr/process",
        headers={"Authorization": f"Bearer {token}"},
        json={
            "batch_id": batch_id,
            "lang": "ch",
            "detect_layout": True
        }
    )
    response.raise_for_status()
    result = response.json()
    print(f"✓ OCR processing started")
    print(f"  Message: {result['message']}")
    print(f"  Total files: {result['total_files']}")

def check_status(token, batch_id):
    """Check processing status"""
    print(f"\nStep 4: Checking processing status...")
    max_wait = 120  # 120 seconds max
    waited = 0

    while waited < max_wait:
        response = requests.get(
            f"{API_BASE}/batch/{batch_id}/status",
            headers={"Authorization": f"Bearer {token}"}
        )
        response.raise_for_status()
        data = response.json()

        batch_status = data['batch']['status']
        progress = data['batch']['progress_percentage']
        file_status = data['files'][0]['status']

        print(f"  Batch status: {batch_status}, Progress: {progress}%, File status: {file_status}")

        if batch_status == 'completed':
            print(f"\n✓ Processing completed!")
            file_data = data['files'][0]
            if 'processing_time' in file_data:
                print(f"  Processing time: {file_data['processing_time']:.2f} seconds")
            return data
        elif batch_status == 'failed':
            print(f"\n✗ Processing failed!")
            print(f"  Error: {data['files'][0].get('error_message', 'Unknown error')}")
            return data

        time.sleep(5)
        waited += 5

    print(f"\n⚠ Timeout waiting for processing (waited {waited}s)")
    return None

def get_result(token, file_id):
    """Get OCR result"""
    print(f"\nStep 5: Getting OCR result...")
    response = requests.get(
        f"{API_BASE}/ocr/result/{file_id}",
        headers={"Authorization": f"Bearer {token}"}
    )
    response.raise_for_status()
    data = response.json()

    file_info = data['file']
    result = data.get('result')

    print(f"✓ OCR Result retrieved:")
    print(f"  File: {file_info['original_filename']}")
    print(f"  Status: {file_info['status']}")

    if result:
        print(f"  Language: {result.get('detected_language', 'N/A')}")
        print(f"  Total text regions: {result.get('total_text_regions', 0)}")
        print(f"  Average confidence: {result.get('average_confidence', 0):.2%}")

        # Read markdown file if available
        if result.get('markdown_path'):
            try:
                with open(result['markdown_path'], 'r', encoding='utf-8') as f:
                    markdown_content = f.read()
                print(f"\n  Markdown preview (first 300 chars):")
                print(f"  {'-'*60}")
                print(f"  {markdown_content[:300]}...")
                print(f"  {'-'*60}")
            except Exception as e:
                print(f"  Could not read markdown file: {e}")
    else:
        print(f"  No OCR result available yet")

    return data

def main():
    try:
        # Test file
        test_file = Path('/Users/egg/Projects/Tool_OCR/demo_docs/office_tests/test_document.docx')

        if not test_file.exists():
            print(f"✗ Test file not found: {test_file}")
            return

        print("="*70)
        print("Office Document Processing Test")
        print("="*70)
        print(f"Test file: {test_file.name} ({test_file.stat().st_size} bytes)")
        print("="*70)

        # Run test
        token = login()
        batch_id = upload_file(token, test_file)
        trigger_ocr(token, batch_id)
        status_data = check_status(token, batch_id)

        if status_data and status_data['batch']['status'] == 'completed':
            file_id = status_data['files'][0]['id']
            result = get_result(token, file_id)
            print("\n" + "="*70)
            print("✓ TEST PASSED: Office document processing successful!")
            print("="*70)
        else:
            print("\n" + "="*70)
            print("✗ TEST FAILED: Processing did not complete successfully")
            print("="*70)

    except Exception as e:
        print(f"\n✗ TEST ERROR: {str(e)}")
        import traceback
        traceback.print_exc()

if __name__ == "__main__":
    main()