Context-aware structured logging utilities for Python that mirror the @smooai/logger toolkit.
Project description
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About smooai-logger (Python)
The missing piece for AWS & Browser logging - A contextual logging system that automatically captures the full execution context you need to debug production issues, without the manual setup.
Python Package
This is the Python port of @smooai/logger, mirroring the TypeScript API for backend services. It provides the same contextual logging capabilities with automatic AWS context capture and correlation tracking.
Why smooai-logger?
Ever spent hours debugging an AWS service in production, only to realize you're missing critical context? Traditional loggers give you the message, but not the story.
smooai-logger automatically captures:
For AWS Services:
- 📍 Exact code location - File, line number, and call stack for every log
- 🔗 Request journey - Correlation IDs that follow requests across services
- ⚡ AWS context - Service-specific metadata and execution details
- 🌐 HTTP details - Headers, methods, status codes from API Gateway
- 📬 Message context - SQS attributes, EventBridge events, SNS messages
- 🔧 Service integration - Lambda, ECS, Fargate, EC2, and more
Install
pip install smooai-logger
or with uv:
uv add smooai-logger
The Power of Automatic Context
See Where Your Logs Come From
Every log entry includes the exact location in your code:
from smooai_logger import AwsServerLogger
logger = AwsServerLogger()
logger.info("User created")
# Output includes:
{
"callerContext": {
"stack": [
"at UserService.create_user (/src/services/user_service.py:42:16)",
"at process_request (/src/handlers/user_handler.py:15:23)",
"at handler (/src/index.py:8:10)"
]
}
}
No more guessing which function logged what - the full execution path is right there.
Track Requests Across Services
Correlation IDs automatically flow through your entire system:
# Service A: API Gateway Handler
logger.add_lambda_context(event, context)
logger.info("Request received") # Correlation ID: abc-123
# Service B: SQS Processor (automatically extracts ID)
logger.add_sqs_record_context(record)
logger.info("Processing message") # Same Correlation ID: abc-123
# Service C: Another Lambda (receives via HTTP header)
logger.info("Completing workflow") # Still Correlation ID: abc-123
Production-Ready Examples
AWS Lambda with API Gateway
from smooai_logger import AwsServerLogger, Level
logger = AwsServerLogger(name="UserAPI")
def handler(event, context):
logger.add_lambda_context(event, context)
try:
user = create_user(event["body"])
logger.info("User created successfully", {"userId": user.id})
return {"statusCode": 201, "body": json.dumps(user)}
except Exception as error:
logger.error("Failed to create user", error, {
"body": event["body"],
"headers": event["headers"],
})
raise error
AWS ECS/Fargate Services
import os
from smooai_logger import AwsServerLogger, Level
logger = AwsServerLogger(
name="OrderService",
level=Level.INFO,
)
# Automatically captures container metadata
@app.post('/orders')
async def create_order(request):
logger.add_context({
"taskArn": os.environ.get("ECS_TASK_ARN"),
"containerName": os.environ.get("ECS_CONTAINER_NAME"),
})
logger.info("Processing order", {
"orderId": request.json["orderId"],
"amount": request.json["amount"],
})
SQS Message Processing
def sqs_handler(event):
for record in event["Records"]:
logger.add_sqs_record_context(record)
logger.info("Processing order", {
"messageId": record["messageId"],
"attempt": record["attributes"]["ApproximateReceiveCount"],
})
# Logger maintains context throughout async operations
process_order(record["body"])
Advanced Features
Smart Error Handling
Errors are automatically serialized with full context:
try:
risky_operation()
except Exception as error:
logger.error("Operation failed", error, {"context": "additional-info"})
# Includes: error message, stack trace, error type, and your context
Flexible Context Management
# Add user context that persists across logs
logger.add_user_context({"id": "user-123", "role": "admin"})
# Add telemetry for performance tracking
logger.add_telemetry_fields({"duration": 150, "operation": "db-query"})
# Add custom context for specific logs
logger.info("Payment processed", {
"amount": 99.99,
"currency": "USD",
})
Local Development Features
Pretty Printing
logger = AwsServerLogger(
pretty_print=True # Readable console output for development
)
Automatic Log Rotation
Logs are automatically saved to disk in development with smart rotation:
# Auto-enabled in local environments
# Saves to .smooai-logs/ with ANSI colors for easy reading
logger = AwsServerLogger(
rotation={
"size": "10M", # Rotate at 10MB
"interval": "1d", # Daily rotation
"compress": True, # Gzip old logs
}
)
Configuration
Log Levels
TRACE- Detailed debugging informationDEBUG- Diagnostic informationINFO- General operational informationWARN- Warning conditionsERROR- Error conditionsFATAL- Critical failures
Context Presets
MINIMAL- Essential context onlyFULL- All available context (default)
Built With
- Python 3.8+ - Full type hints support
- AWS SDK Integration - Native support for Lambda, ECS, EC2, and more
- Automatic environment detection
- Smart log rotation
Related Packages
- @smooai/logger - TypeScript/JavaScript version
- smooai-logger (Rust) - Rust version
Development
uv run poe install-dev
uv run pytest
uv run poe lint
uv run poe lint:fix # optional fixer
uv run poe format
uv run poe typecheck
uv run poe build
Set UV_PUBLISH_TOKEN before running uv run poe publish to upload to PyPI.
Contact
Brent Rager
Smoo Github: https://github.com/SmooAI
License
MIT © SmooAI
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