urarovite 1.0.2

A Google Sheets validation library

Urarovite 🔍

A comprehensive spreadsheet validation library with universal format support for both Google Sheets and Excel files. Urarovite provides robust data validation, modern authentication, formula preservation, and seamless integration with contemporary codebases through a clean abstraction layer.

🚀 Features

Universal Spreadsheet Support

• Google Sheets: Full gspread integration with modern authentication
• Excel Files: Native .xlsx and .xls support via openpyxl
• Format Agnostic: Validators work identically across all spreadsheet formats
• Formula Preservation: Maintains formulas during conversion between formats
• Intelligent Defaults: Smart target location detection and file management

Modern Architecture

• Abstraction Layer: Clean SpreadsheetInterface for format-independent operations
• Template Methods: Consistent validation patterns with automatic resource management
• Performance Optimized: Smart read-only mode detection and client caching
• Type Safety: Comprehensive type hints throughout (Python 3.9+)

Authentication & Security

• Service Account Only: Base64-encoded credentials (no file storage required)
• Domain-wide Delegation: Enterprise-grade user impersonation support
• Secure Credential Handling: No sensitive data in logs or error messages
• Environment Integration: Seamless .env file support

Validation System

• 19+ Built-in Validators: Data quality, range validation, platform neutralization
• Fix & Flag Modes: Automatic issue resolution or reporting-only modes
• Comprehensive Coverage: Empty cells, duplicates, formatting, tab names, ranges
• Excel Compatibility: Tab name validation, formula detection, range verification

📦 Installation

pip install urarovite

Optional Dependencies

# For Excel file support
pip install urarovite[excel]

# For development
pip install urarovite[dev]

# For Jupyter notebook support
pip install urarovite[notebook]

# Install all extras
pip install urarovite[excel,dev,notebook]

🔑 Authentication Setup

Service Account (Recommended)

1. Create a Google Cloud Project:

   • Go to Google Cloud Console
   • Create a new project or select an existing one

2. Enable APIs:

   • Navigate to "APIs & Services" > "Library"
   • Enable "Google Sheets API" and "Google Drive API"

3. Create Service Account:

   • Go to "APIs & Services" > "Credentials"
   • Click "Create Credentials" > "Service Account"
   • Download the JSON key file

4. Prepare Credentials:

   import base64
   import json
   
   # Load your service account JSON
   with open('path/to/service-account.json', 'r') as f:
       service_account = json.load(f)
   
   # Encode for use with urarovite
   encoded_creds = base64.b64encode(json.dumps(service_account).encode()).decode()
   

Domain-wide Delegation (Enterprise)

For enterprise users who need to impersonate other users:

1. Enable Domain-wide Delegation in your service account settings
2. Add OAuth Scopes in Google Admin Console:
   • https://www.googleapis.com/auth/spreadsheets
   • https://www.googleapis.com/auth/drive.readonly

💻 Usage

Basic Validation

from urarovite.core.api import execute_validation, get_available_validation_criteria

# List available validators
validators = get_available_validation_criteria()
print(validators)
# [{"id": "empty_cells", "name": "Fix Empty Cells"}, ...]

# Google Sheets validation (requires authentication)
encoded_creds = "eyJ0eXBlIjogInNlcnZpY2VfYWNjb3VudCIsIC4uLn0="
result = execute_validation(
    check={"id": "empty_cells", "mode": "fix"},
    sheet_url="https://docs.google.com/spreadsheets/d/1ABC123/edit",
    auth_secret=encoded_creds,
    subject="[e-mail]"  # Optional: for domain-wide delegation
)

# Excel file validation (no authentication required)
result = execute_validation(
    check={"id": "empty_cells", "mode": "fix"},
    sheet_url="./data/spreadsheet.xlsx"
)

# Excel to Google Sheets conversion with validation
result = execute_validation(
    check={"id": "tab_names", "mode": "fix"},
    sheet_url="./data/spreadsheet.xlsx",
    auth_secret=encoded_creds,
    target="1hWMAXridd8Gd_ND6p8r4bGLQYZnL0b52",  # Drive folder ID
    target_format="sheets"
)

print(f"Fixed {result['fixes_applied']} issues")
print(f"Found {result['issues_flagged']} additional issues")
print(f"Logs: {result['automated_logs']}")

Sheet Crawling & Batch Validation

Urarovite includes powerful sheet crawling capabilities that can automatically discover and validate all sheets referenced in a metadata spreadsheet. This is perfect for processing large datasets with multiple input/output sheet pairs.

🚀 Super Simple Usage

# Just provide the URL - saves fixed sheets as Google Sheets in same folder as source
./run_crawl_validation.sh "https://docs.google.com/spreadsheets/d/1Jx5CHYvKt3y2aO-1vFKT7botQUWnvp-CcZftvFGz2pQ/edit#gid=114720924"

What this does:

• ✅ Crawls through your metadata sheet
• ✅ Finds all input/output sheet URLs automatically
• ✅ Runs ALL available validations on each sheet
• ✅ Saves fixed sheets as Google Sheets in the same folder as the source (NEW DEFAULT!)
• ✅ Automatically adds fixed sheet URLs back to your metadata sheet (NEW!)
• ✅ Provides comprehensive results and statistics

Command Line Options

# With domain-wide delegation
./run_crawl_validation.sh "https://docs.google.com/spreadsheets/d/your-sheet-id" "[e-mail]"

# Flag mode only (no fixes applied)
./run_crawl_validation.sh "https://docs.google.com/spreadsheets/d/your-sheet-id" --mode flag

# Save to local Excel files instead
./run_crawl_validation.sh "https://docs.google.com/spreadsheets/d/your-sheet-id" --target local --format excel

# Save to specific Google Drive folder
./run_crawl_validation.sh "https://docs.google.com/spreadsheets/d/your-sheet-id" --target "1A2B3C4D5E6F7G8H9I0J"

📋 New Defaults (Google-First)

• Target: Same folder as source (intelligent default) ← was "local"
• Format: Google Sheets ← was "excel"

Why This is Better:

1. Seamless Google Workflow: Fixed sheets stay in Google Drive where you can easily access them
2. Same Folder Organization: Fixed sheets are created right next to your source sheets
3. No File Management: No need to upload/download Excel files
4. Team Collaboration: Everyone can access the fixed sheets immediately
5. Version History: Google Sheets maintains version history of fixes
6. Automatic Audit Trail: Fixed sheet URLs are automatically added to your metadata sheet

📝 New Metadata Columns

After running the crawling script, your metadata sheet will automatically get new columns added:

For Google Sheets Output (Default):

• input_sheet_url_fixed: URLs to the fixed versions of input sheets
• example_output_sheet_url_fixed: URLs to the fixed versions of output sheets
• input_fixes_applied: Number of fixes applied to input sheets
• input_issues_found: Number of issues found in input sheets
• input_validation_summary: Summary of validation results for input sheets
• input_validation_errors: Any validation errors for input sheets
• output_fixes_applied: Number of fixes applied to output sheets
• output_issues_found: Number of issues found in output sheets
• output_validation_summary: Summary of validation results for output sheets
• output_validation_errors: Any validation errors for output sheets

For Excel Output:

• input_sheet_path_fixed: Relative paths to the fixed Excel files for input sheets
• example_output_sheet_path_fixed: Relative paths to the fixed Excel files for output sheets
• Plus all the same validator output columns as above

Example Results

Before:

worker_id	input_sheet_url	example_output_sheet_url
ABC123	https://docs.google.com/.../input123	https://docs.google.com/.../output123

After (showing key columns):

worker_id	input_sheet_url_fixed	input_fixes_applied	input_issues_found	input_validation_summary	output_sheet_url_fixed	output_fixes_applied	output_issues_found
ABC123	https://docs.google.com/.../input123_fixed	15	3	✅ 12 successful; ❌ 1 failed	https://docs.google.com/.../output123_fixed	8	0

This creates a complete audit trail showing:

• 🔗 Where the fixed sheets are located (direct links)
• 📊 Exactly what was fixed (number of fixes applied)
• ⚠️ What issues remain (issues found but not fixed)
• ✅ Validation success rate (how many validators succeeded)
• 🚨 Any errors encountered (validation errors for troubleshooting)

📊 Expected Output

🚀 Starting Urarovite Sheet Crawling and Validation
==================================================
[INFO] Metadata Sheet: https://docs.google.com/spreadsheets/d/...
[INFO] Authentication: ✓ Configured
[INFO] Validation Mode: fix
[INFO] Target: Same folder as source (intelligent default)
[INFO] Format: sheets
[INFO] Preserve Formatting: true

🔍 Starting crawling and validation...
   Metadata Sheet: https://docs.google.com/spreadsheets/d/...
   Authentication: ✓ Configured
   Validation Mode: fix
   Target: Same folder as source (intelligent default)
   Format: sheets

📋 CRAWLING AND VALIDATION RESULTS
==================================================
✅ Overall Status: SUCCESS

📊 Summary Statistics:
   Total Sheet Pairs: 15
   Successful Pairs: 15
   Failed Pairs: 0
   Total Input Fixes: 47
   Total Output Fixes: 23
   Total Input Issues: 12
   Total Output Issues: 8
   Total Errors: 0

⏱️  Performance Metrics:
   Total Time: 125.30 seconds
   Crawling Time: 5.20 seconds
   Validation Time: 120.10 seconds
   Processing Rate: 0.12 pairs/second

💾 Output Files:
   Results JSON: ./output/crawl_validation_results_20241220_143022.json
   Processing Log: ./output/crawl_validation_20241220_143022.log
   Validated Files: Check Google Drive - fixed sheets created in source folders

🎉 Crawling and validation completed successfully!
   Applied 70 fixes across all sheets
   Check Google Drive for the fixed sheets

🎯 Perfect for Batch Processing

This crawling functionality is ideal for data cleaning tasks because:

1. Batch Processing: Processes all your input/output sheet pairs at once
2. Intelligent Detection: Automatically finds sheet URLs in your metadata
3. Comprehensive Validation: Runs all available validators on each sheet
4. Google-Native: Keeps everything in Google Drive for easy access
5. Detailed Reporting: Shows exactly what was fixed and where

Just run it once and get all your sheets validated and fixed! 🚀

Prerequisites for Crawling

# Set your authentication (required)
export AUTH_SECRET="eyJ0eXBlIjogInNlcnZpY2VfYWNjb3VudCIsIC4uLn0="

# Optional: For domain-wide delegation
export DELEGATION_SUBJECT="[e-mail]"

Advanced Usage with gspread

from urarovite.auth import get_gspread_client, create_sheets_service_from_encoded_creds
from urarovite.utils.sheets import extract_sheet_id, get_sheet_values

# Create gspread client (recommended)
client = get_gspread_client(encoded_creds, subject="[e-mail]")
spreadsheet = client.open_by_key(sheet_id)

# Or create traditional Google Sheets API service
service = create_sheets_service_from_encoded_creds(encoded_creds)

# Use utility functions
sheet_id = extract_sheet_id("https://docs.google.com/spreadsheets/d/1ABC123/edit")
data = get_sheet_values(service, sheet_id, "Sheet1!A1:Z1000")

🔧 Migration from OAuth

If you're migrating from OAuth-based authentication:

# OLD: OAuth-based authentication
from urarovite.checker.auth import get_credentials, get_sheets_service
creds = get_credentials()  # Interactive OAuth flow
service = get_sheets_service()

# NEW: Service account with base64 credentials
from urarovite.auth import create_sheets_service_from_encoded_creds
service = create_sheets_service_from_encoded_creds(encoded_creds)

# Or use modern gspread client (recommended)
from urarovite.auth import get_gspread_client
client = get_gspread_client(encoded_creds)

📚 Documentation

• Migration Guide: See MIGRATION_SUMMARY.md for detailed changes
• Validator Migration: See VALIDATOR_MIGRATION_GUIDE.md for validator development
• Spreadsheet Abstraction: See SPREADSHEET_ABSTRACTION_GUIDE.md for multi-format support
• API Reference: Full type hints and docstrings throughout the codebase
• Command Line Usage: Use ./run_validation.sh for batch validation operations
• Examples: Check the /tests directory for comprehensive usage examples

🧪 Testing

# Install with dev dependencies
pip install urarovite[dev]

# Run tests
pytest

# Run with coverage
pytest --cov=urarovite

🖥️ Command Line Usage

The repository includes convenient shell scripts for running validations from the command line:

Single Sheet Validation (run_validation.sh)

For validating individual spreadsheets:

Prerequisites

1. Make the script executable (if needed):

   chmod +x run_validation.sh
   

2. For Google Sheets validation, create a .env file with your base64-encoded service account:

   # .env file
   AUTH_SECRET=eyJ0eXBlIjogInNlcnZpY2VfYWNjb3VudCIsIC4uLn0=
   

Usage Examples

# Run all validations on Google Sheets
./run_validation.sh --all 'https://docs.google.com/spreadsheets/d/abc123'

# Run all validations on local Excel file
./run_validation.sh --all './data/spreadsheet.xlsx'

# Run single validation with JSON
./run_validation.sh --check '{"id": "empty_cells", "mode": "fix"}' 'https://docs.google.com/spreadsheets/d/abc123'

# Run single validation on Excel file
./run_validation.sh --check '{"id": "tab_names", "mode": "fix"}' './spreadsheet.xlsx'

# With delegation subject (Google Sheets only)
./run_validation.sh --all 'https://docs.google.com/spreadsheets/d/abc123' '[e-mail]'

# Load check from JSON file
echo '{"id": "duplicate_rows", "mode": "flag"}' > check.json
./run_validation.sh --check check.json 'https://docs.google.com/spreadsheets/d/abc123'

Script Options

• --all: Run all available validation criteria
• --check <json_or_file>: Run a single validation check (JSON string or file path)

Supported Input Types

• Google Sheets: URLs containing docs.google.com (requires authentication)
• Excel Files: Local .xlsx or .xls files (no authentication required)

The script automatically detects the input type and applies appropriate authentication requirements.

Batch Validation with Crawling (run_crawl_validation.sh)

For processing multiple sheets referenced in a metadata spreadsheet, see the Sheet Crawling & Batch Validation section above. This script can automatically discover and validate all sheets in your data processing workflow.

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Install development dependencies: pip install urarovite[dev]
4. Make your changes with proper type hints and tests
5. Run tests and linting: pytest && ruff check
6. Submit a pull request

📄 License

This project is licensed under the GNU General Public License v3 (GPLv3) - see the LICENSE file for details.

🔗 Links

• PyPI: https://pypi.org/project/urarovite/
• GitHub: https://github.com/ParetoWorkers/Urarovite
• Issues: https://github.com/ParetoWorkers/Urarovite/issues