Notebook Utils¶

Overview¶

The Notebook Utils module provides environment-agnostic utilities that work seamlessly in both local development and Microsoft Fabric runtime environments. These utilities abstract away the differences between environments and provide consistent interfaces for common operations.

Architecture¶

The notebook utilities are designed with a layered architecture:

graph TD
    A[Notebook Utils Interface] --> B[Environment Detection]
    B --> C[Local Environment]
    B --> D[Fabric Environment]
    C --> E[Local File System]
    C --> F[Local Database]
    D --> G[Fabric Lakehouse]
    D --> H[Fabric Warehouse]

Key Components¶

Environment Abstraction¶

The utilities automatically detect the runtime environment and provide appropriate implementations:

Local Development: Uses local file system and database connections
Fabric Runtime: Uses Fabric-specific APIs and storage

Core Utilities¶

Simple Notebook¶

Basic notebook operations
Cell management
Execution tracking

Fabric CLI Notebook¶

Fabric-specific notebook operations
Integration with Fabric APIs
Workspace management

Notebook Block Injector¶

Dynamic code injection
Template processing
Environment-specific customization

Usage¶

Basic Operations¶

from ingen_fab.notebook_utils import get_notebook_utils

# Get environment-appropriate utilities
utils = get_notebook_utils()

# Perform operations
result = utils.execute_query("SELECT * FROM my_table")

Environment Detection¶

from ingen_fab.notebook_utils import detect_environment

env = detect_environment()
if env == 'fabric':
    # Fabric-specific code
    pass
elif env == 'local':
    # Local development code
    pass

File Operations¶

# Read files (works in both environments)
data = utils.read_file("path/to/file.csv")

# Write files
utils.write_file("output.json", data)

Configuration¶

Environment Variables¶

The utilities respect environment-specific configuration:

# Local development
export NOTEBOOK_ENV=local
export DB_CONNECTION_STRING=...

# Fabric runtime (automatically detected)
export FABRIC_WORKSPACE_ID=...

Settings Files¶

Configuration can be managed through settings files:

{
    "environment": "local",
    "database": {
        "connection_string": "...",
        "timeout": 30
    },
    "logging": {
        "level": "INFO"
    }
}

API Reference¶

NotebookUtils Interface¶

class NotebookUtils:
    def execute_query(self, query: str) -> Any:
        """Execute SQL query in current environment"""
        pass

    def read_file(self, path: str) -> Any:
        """Read file from storage"""
        pass

    def write_file(self, path: str, data: Any) -> None:
        """Write file to storage"""
        pass

    def get_connection(self) -> Any:
        """Get database connection"""
        pass

Environment-Specific Implementations¶

Local Environment¶

class LocalNotebookUtils(NotebookUtils):
    """Local development implementation"""
    pass

Fabric Environment¶

class FabricNotebookUtils(NotebookUtils):
    """Microsoft Fabric implementation"""
    pass

Testing¶

Unit Tests¶

import pytest
from notebook_utils import get_notebook_utils

def test_environment_detection():
    utils = get_notebook_utils()
    assert utils is not None

def test_query_execution():
    utils = get_notebook_utils()
    result = utils.execute_query("SELECT 1")
    assert result is not None

Integration Tests¶

def test_fabric_integration():
    """Test integration with Fabric environment"""
    # Integration test code
    pass

Best Practices¶

Error Handling¶

try:
    result = utils.execute_query(query)
except NotebookUtilsError as e:
    logger.error(f"Query failed: {e}")
    # Handle error appropriately

Resource Management¶

# Use context managers when available
with utils.get_connection() as conn:
    result = conn.execute(query)

Logging¶

import logging

logger = logging.getLogger(__name__)
logger.info("Executing notebook operation")

Advanced Features¶

Custom Implementations¶

You can create custom implementations for specific use cases:

class CustomNotebookUtils(NotebookUtils):
    def custom_operation(self):
        """Custom functionality"""
        pass

Plugin System¶

The utilities support a plugin system for extending functionality:

from notebook_utils import register_plugin

register_plugin('my_plugin', MyPlugin)

Troubleshooting¶

Common Issues¶

Environment Detection Failures: Check environment variables
Connection Issues: Verify database credentials
File Access Errors: Check file permissions
API Failures: Verify Fabric workspace settings

Debugging¶

Enable debug logging:

import logging
logging.basicConfig(level=logging.DEBUG)

Examples¶

See the examples/ directory for complete usage examples and patterns.

Integration¶

The notebook utilities integrate with:

DDL Scripts for template processing
Python Libraries for core functionality
SQL Templates for query generation