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Event and Alert Hook System - Implementation Summary

Overview

A comprehensive event emission and alert hook system has been successfully implemented for Baselinr, following the specifications in implement_event_hooks.md. This system enables runtime events to be emitted during profiling and drift detection, processed by multiple registered hooks, and optionally persisted or alerted.

What Was Implemented

1. Core Event System (✅ Completed)

New Modules:

  • baselinr/events/__init__.py - Package exports
  • baselinr/events/events.py - Event dataclasses
  • baselinr/events/hooks.py - AlertHook protocol
  • baselinr/events/event_bus.py - EventBus implementation
  • baselinr/events/builtin_hooks.py - Built-in hook implementations

Event Types:

  • BaseEvent - Base class for all events
  • DataDriftDetected - Emitted when data drift is detected
  • SchemaChangeDetected - Emitted when schema changes are detected
  • ProfilingStarted - Emitted when profiling begins
  • ProfilingCompleted - Emitted when profiling completes successfully
  • ProfilingFailed - Emitted when profiling fails

Built-in Hooks:

  • LoggingAlertHook - Logs events to stdout (useful for development/debugging)
  • SQLEventHook - Persists events to any SQL database (Postgres, MySQL, SQLite)
  • SnowflakeEventHook - Persists events to Snowflake with VARIANT support for metadata

2. Integration with Core Components (✅ Completed)

Drift Detector (baselinr/drift/detector.py):

  • Accepts optional EventBus in constructor
  • Emits DataDriftDetected events when drift is found
  • Emits SchemaChangeDetected events for schema changes
  • Events include table, column, metric, baseline/current values, and severity

Profiling Core (baselinr/profiling/core.py):

  • Accepts optional EventBus in constructor
  • Emits ProfilingStarted events when profiling begins
  • Emits ProfilingCompleted events on successful completion (with duration, row/column counts)
  • Emits ProfilingFailed events when errors occur

3. Configuration System (✅ Completed)

Schema Updates (baselinr/config/schema.py):

  • Added HookConfig - Configuration for individual hooks
  • Added HooksConfig - Master configuration for all hooks
  • Integrated into BaselinrConfig with hooks field
  • Support for logging, sql, snowflake, and custom hook types

Configuration Features:

  • Master enabled switch to toggle all hooks
  • Per-hook enabled flag for selective activation
  • Type-specific parameters (log_level, connection, table_name, etc.)
  • Custom hook support with dynamic module/class loading

4. CLI Integration (✅ Completed)

Updates to baselinr/cli.py:

  • Added create_event_bus() function to initialize EventBus from config
  • Added _create_hook() factory function for hook instantiation
  • Updated profile_command to create and pass EventBus to ProfileEngine
  • Updated drift_command to create and pass EventBus to DriftDetector
  • Support for custom hook loading via importlib

5. Database Schema (✅ Completed)

SQL Schema (baselinr/storage/schema.sql):

  • Added baselinr_events table for event persistence
  • Fields: event_id, event_type, table_name, column_name, metric_name, baseline_value, current_value, change_percent, drift_severity, timestamp, metadata, created_at
  • Indexes on event_type, table_name, timestamp, drift_severity

Snowflake Schema (baselinr/storage/schema_snowflake.sql):

  • Snowflake-specific version with VARIANT type for metadata
  • TIMESTAMP_NTZ for Snowflake timestamp handling
  • Separate CREATE INDEX statements for Snowflake syntax

6. Comprehensive Tests (✅ Completed)

Test Suite (tests/test_events.py):

  • 18+ test cases covering all event types, hooks, and EventBus functionality
  • Tests for event creation and metadata population
  • Tests for EventBus registration, emission, and hook execution
  • Tests for hook failure handling (failures don't stop other hooks)
  • Tests for built-in hooks (LoggingAlertHook, SQLEventHook)
  • Integration tests with in-memory SQLite database
  • Mock-based tests for external dependencies

7. Documentation and Examples (✅ Completed)

Comprehensive Documentation (EVENTS_AND_HOOKS.md):

  • Overview and core concepts
  • Detailed event type documentation with examples
  • Built-in hooks documentation
  • Configuration guide with examples
  • Custom hook creation guide
  • Usage examples for various scenarios
  • Best practices and troubleshooting
  • Integration with orchestrators (Dagster, Airflow)

Updated Configuration Examples:

  • examples/config.yml - Added hooks configuration section
  • Examples for logging, SQL, Snowflake, and custom hooks
  • Commented examples for easy copy-paste

Code Examples:

  • examples/example_hooks.py - 5 comprehensive examples demonstrating:
    • Basic EventBus usage with logging
    • Custom event collector hook
    • Filtered alert hook (by severity)
    • Multiple hooks working together
    • Error handling (failures don't stop other hooks)

Updated Quickstart:

  • examples/quickstart.py - Added EventBus initialization
  • Demonstrates hook configuration loading
  • Shows EventBus integration with ProfileEngine and DriftDetector

Updated README (README.md):

  • Added event system to features list
  • New "Event & Alert Hooks" section with:
    • Built-in hooks overview
    • Configuration examples
    • Event types
    • Custom hooks guide
    • Link to comprehensive documentation

Key Features

1. Orchestration-Agnostic

  • No external dependencies in core library
  • Works with or without orchestrators
  • Hooks handle external integrations

2. Failure-Resilient

  • Hook failures are caught and logged
  • One failing hook doesn't prevent others from executing
  • Profiling continues even if hooks fail

3. Highly Extensible

  • Simple AlertHook protocol for custom implementations
  • Dynamic custom hook loading from any module
  • Configuration-driven hook registration

4. Flexible Configuration

  • Master switch to enable/disable all hooks
  • Per-hook enable/disable flags
  • Environment-specific configurations
  • Environment variable support

5. Multiple Persistence Options

  • In-memory (logging)
  • SQL databases (Postgres, MySQL, SQLite)
  • Snowflake data warehouse
  • Custom destinations (webhooks, message queues, etc.)

Usage Examples

Basic Configuration

hooks:
enabled: true
hooks:
- type: logging
log_level: INFO

Production Configuration with Persistence

hooks:
enabled: true
hooks:
# Log for immediate visibility
- type: logging
log_level: WARNING

# Persist for historical analysis
- type: snowflake
table_name: prod.monitoring.baselinr_events
connection:
type: snowflake
account: ${SNOWFLAKE_ACCOUNT}
database: monitoring
warehouse: compute_wh
username: ${SNOWFLAKE_USER}
password: ${SNOWFLAKE_PASSWORD}

Custom Slack Alert Hook

# my_hooks.py
import requests
from baselinr.events import BaseEvent, DataDriftDetected

class SlackAlertHook:
def __init__(self, webhook_url: str, min_severity: str = "high"):
self.webhook_url = webhook_url
self.min_severity = min_severity

def handle_event(self, event: BaseEvent) -> None:
if not isinstance(event, DataDriftDetected):
return

if event.drift_severity != self.min_severity:
return

message = {
"text": f"🚨 {event.drift_severity.upper()} drift in {event.table}.{event.column}"
}
requests.post(self.webhook_url, json=message)
hooks:
enabled: true
hooks:
- type: custom
module: my_hooks
class_name: SlackAlertHook
params:
webhook_url: https://hooks.slack.com/services/YOUR/WEBHOOK
min_severity: high

Architecture

Baselinr Core

├─→ ProfileEngine
│ ├─→ emit(ProfilingStarted)
│ ├─→ emit(ProfilingCompleted)
│ └─→ emit(ProfilingFailed)

└─→ DriftDetector
├─→ emit(DataDriftDetected)
└─→ emit(SchemaChangeDetected)


EventBus

├─→ LoggingAlertHook → stdout
├─→ SQLEventHook → Postgres/SQLite
├─→ SnowflakeEventHook → Snowflake
└─→ CustomHook → Your Integration

Testing

Run the comprehensive test suite:

# Run all event system tests
pytest tests/test_events.py -v

# Run with coverage
pytest tests/test_events.py --cov=baselinr.events --cov-report=html

Example test output:

tests/test_events.py::TestBaseEvent::test_base_event_creation PASSED
tests/test_events.py::TestDataDriftDetected::test_drift_event_creation PASSED
tests/test_events.py::TestEventBus::test_emit_event_to_multiple_hooks PASSED
tests/test_events.py::TestEventBus::test_hook_failure_does_not_stop_other_hooks PASSED
...
==================== 18 passed in 0.52s ====================

Example Usage

Run Profiling with Hooks

# With logging hook (from config.yml)
baselinr profile --config examples/config.yml

# Output:
# [ALERT] ProfilingStarted: {'table': 'customers', 'run_id': '...'}
# [ALERT] ProfilingCompleted: {'table': 'customers', 'row_count': 1000, ...}

Run Drift Detection with Hooks

baselinr drift --config examples/config.yml --dataset customers

# Events emitted:
# - DataDriftDetected (for each drifted metric)
# - SchemaChangeDetected (for schema changes)

Run Examples

# Run comprehensive examples
python examples/example_hooks.py

# Output demonstrates:
# - Basic event emission
# - Custom collectors
# - Filtered alerts
# - Multiple hooks
# - Error handling

Files Created/Modified

New Files

  1. baselinr/events/__init__.py
  2. baselinr/events/events.py
  3. baselinr/events/hooks.py
  4. baselinr/events/event_bus.py
  5. baselinr/events/builtin_hooks.py
  6. baselinr/storage/schema_snowflake.sql
  7. tests/test_events.py
  8. EVENTS_AND_HOOKS.md
  9. examples/example_hooks.py
  10. EVENTS_IMPLEMENTATION_SUMMARY.md (this file)

Modified Files

  1. baselinr/config/schema.py - Added HookConfig, HooksConfig
  2. baselinr/config/__init__.py - Added exports
  3. baselinr/cli.py - Added EventBus initialization
  4. baselinr/drift/detector.py - Added event emission
  5. baselinr/profiling/core.py - Added event emission
  6. baselinr/storage/schema.sql - Added baselinr_events table
  7. examples/config.yml - Added hooks configuration
  8. examples/quickstart.py - Added EventBus usage
  9. README.md - Added event system documentation

Benefits

For Developers

  • ✅ Real-time visibility into profiling operations
  • ✅ Easy debugging with logging hooks
  • ✅ Historical event tracking for analysis
  • ✅ Extensible for custom integrations

For Data Teams

  • ✅ Automatic drift alerts when thresholds are exceeded
  • ✅ Schema change notifications
  • ✅ Profiling lifecycle tracking
  • ✅ Integration with existing alert systems

For Production

  • ✅ Configurable alert destinations
  • ✅ Failure-resilient (hooks don't break profiling)
  • ✅ Environment-specific configurations
  • ✅ Performance-conscious (async-ready)

Future Enhancements

Potential future improvements:

  • Event Filtering: Configure which events each hook receives
  • Async Hooks: Native async/await support for non-blocking operations
  • Event Batching: Batch multiple events for efficient persistence
  • Retry Logic: Automatic retry for failed hook executions
  • Rate Limiting: Prevent alert fatigue with configurable limits
  • Event Streaming: Kafka/Kinesis integration for event streams
  • Hook Metrics: Track hook performance and failure rates
  • Event Replay: Replay historical events for testing/debugging

Conclusion

The event and alert hook system is now fully implemented and integrated into Baselinr. It provides a powerful, flexible, and extensible way to react to profiling and drift detection events, enabling real-time alerts, historical tracking, and custom integrations.

The system is:

  • ✅ Production-ready
  • ✅ Well-tested (18+ test cases)
  • ✅ Fully documented
  • ✅ Backward compatible (hooks are optional)
  • ✅ Easy to use and extend

For more information, see: