Metadata-Version: 2.4
Name: timebased_logger
Version: 0.1.5
Summary: A logger that logs messages based on time intervals, not message count.
Home-page: https://github.com/prakashsellathurai/Timebased-logger
Author: Prakash Sellathurai
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-python
Dynamic: summary

# TimeBasedLogger

[![PyPI version](https://badge.fury.io/py/timebased-logger.svg)](https://pypi.org/project/timebased-logger/)
[![Build Status](https://github.com/prakashsellathurai/Timebased-logger/actions/workflows/python-package.yml/badge.svg)](https://github.com/prakashsellathurai/Timebased-logger/actions/workflows/python-package.yml)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python Versions](https://img.shields.io/pypi/pyversions/timebased-logger.svg)](https://pypi.org/project/timebased-logger/)

A Python logger that only logs messages at a specified time interval.

---

## 🚀 Production-Grade Features
- **Log Levels:** DEBUG, INFO, WARNING, ERROR, CRITICAL, with filtering and convenience methods.
- **Log Formatting:** Customizable log message format (default: `[{{level}}] {{asctime}} {{message}}`).
- **Exception Logging:** Log exceptions with stack traces using `exc_info=True`.
- **Structured/Extra Data:** Add extra fields to log records for structured logging.


### Performance Metrics

<!-- PERFORMANCE_METRICS_START -->

| Name (time in us)        |    Min    |     Max    |    Mean    |  StdDev   |   Median   |    IQR    | Outliers  | OPS (Kops/s) | Rounds | Iterations |
|------------------------- |-----------|------------|------------|-----------|------------|-----------|-----------|--------------|--------|------------|
| test_builtin_logging    |   19.0160 |    65.4650 |    22.2032 |    2.9417 |    21.4510 |    1.9130 | 397;344   |      45.0386 |   5508 |          1 |
| test_loguru_logging     |   14.8380 |    54.3040 |    16.3561 |    1.9979 |    15.9800 |    0.6510 | 396;568   |      61.1391 |   9767 |          1 |
| test_structlog_logging  |   23.2850 |    61.8090 |    25.7771 |    3.4665 |    24.9380 |    1.0930 | 414;584   |      38.7941 |   6549 |          1 |
| test_timebased_logger   |    7.1740 |    39.0150 |     7.8676 |    1.6970 |     7.4240 |    0.0900 | 1985;2676 |     127.1042 |  22500 |          1 |

    **Legend:**


    - **Outliers:** 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.  
    - **OPS:** Operations Per Second, computed as 1 / Mean (displayed in Kops/s = thousands of operations per second)
    

<!-- PERFORMANCE_METRICS_END -->


---


## Inspiration & Acknowledgement

This project was inspired by the article [Log by Time, not by Count](https://johnscolaro.xyz/blog/log-by-time-not-by-count) by John Scolaro. Highly recommended for anyone interested in effective logging strategies in high-frequency systems.

## Project Links
- [PyPI](https://pypi.org/project/timebased-logger/)
- [GitHub](https://github.com/yourusername/timebased-logger)

## Installation

Install from PyPI:
```sh
pip install timebased-logger
```
Or, just copy `timebased_logger.py` into your project.

## Features
- Log messages only once per specified interval
- Limit the number of logs per interval (`max_logs_per_interval`)
- Pause and resume logging
- Custom time function for advanced testing
- **High performance async mode**: background logging with batching
- **Thread safety**: optional locking for multi-threaded use
- **Log levels, formatting, and exception logging** (see below)

## Usage

### Basic Usage
```python
from timebased_logger import TimeBasedLogger
logger = TimeBasedLogger(interval_seconds=2)
logger.log("Hello")
logger.log("World")  # Will not log if called within 2 seconds
```

### Log Levels and Filtering
```python
logger = TimeBasedLogger(level='WARNING')
logger.info("This will NOT be logged")
logger.warning("This will be logged")
logger.error("This will also be logged")
```

### Convenience Methods
```python
logger.debug("Debug message")
logger.info("Info message")
logger.warning("Warning message")
logger.error("Error message")
logger.critical("Critical message")
```

### Log Formatting
```python
logger = TimeBasedLogger(fmt='[{level}] {asctime} {message}')
logger.info("Formatted log message")
```

### Exception Logging
```python
try:
    1/0
except ZeroDivisionError:
    logger.error("An error occurred", exc_info=True)
```

### Structured/Extra Data
```python
logger = TimeBasedLogger(fmt='[{level}] {user} {message}')
logger.info("User logged in", extra={'user': 'alice'})
```



