dna-logger-4 1.0.4
Data and Analytics Logging Module
License: MIT
Requires Python: >=3.6

# dna_logger
Common Python Logging Module for data and analytics applications.

# Usage
Install newest version of the dna_logger using

``` pip install dna-logger ```

# PIP Repository Link
``` https://pypi.org/project/dna-logger/ ```

# Logging Format
```
{
    "timestamp": DateTime[ISO8601 format],
    "message": string,
    "level": string,
    "exception": {
        "message": string,
        "type": string,
        "stackTrace": string(recommended)
    }(optional),
    "context": {
        "traceld": string(recommended),
        "executionld": string(recommended),
        "codeVersion": string(recommended),
        "lineNumber": string(optional),
        "methodName": string(optional),
        "fileName": string(optional),
        "applicationName": string(recommended),
        "*": string(optional)
    }
}
```

# Script example:

```
from dna_logger import logger

log = logger.get_instance('test', "INFO", "2.0")

log.info('Testing Module')
```

## Log example:
```
{
	"timestamp": "2023-03-02T15:50:18.155Z",
	"level": "INFO",
	"message": "Test status",
	"context": {
		"traceId": "1cf8d889-058d-4736-8b36-e242f69e2130",
		"applicationName": "test",
		"codeVersion": "2.0",
		"fileName": "test_log.py",
		"methodName": "test_application_name",
		"lineNumber": "32"
	}
}
```

## Test Command (Local Dev):
```
python -m unittest discover .
```

# Data analytics logging module

### dna_logger.logger.get_instance(name: str, level: str, code_version: str)

* Used to create singleton logger instance for the application.
* Accepts application name as the mandatory input.
* Optionally accepts log level as input, default as INFO.
* Possible log levels are INFO, DEBUG, ERROR, WARNING, FATAL.
* Optionally accepts code_version as input, default as 1.0.
```
from dna_logger import logger
log = logger.get_instance('test', "INFO", "2.0")
```

### log.info(message: object)
* Used to log the message with log level as INFO.
```
log.info('info log example')
```

### log.debug(message: object)
* Used to log the message with log level as DEBUG.
```
log.debug('debug log example')
```

### log.error(message: object)
* Used to log the message with log level as ERROR.
```
log.error('error log example')
```

### log.error(message: object, exception: Exception)
* Used to log the message with log level as ERROR.
* Will add aditional exception block with message, error type and stacktrace.
```
# ex -> Exception object
log.error('error log example', ex)
```

### log.warn(message: object)
* Used to log the message with log level as WARN.
```
log.warn('warn log example')
```

### log.fatal(message: object)
* Used to log the message with log level as FATAL.
```
log.fatal('fatal log example')
```

### log.get_logentry()
* Used to get the log entry object.
* This object can be used to set the required context for the logger object.
```
from dna_logger import logger
log = logger.get_instance('test')
log_entry = log.get_logentry()
```

### log_entry.get_execution_id() and log_entry.set_execution_id(value: str)
* Used to get/set the application id or the execution id of the application.
* Example: Task id of the ECS application, spark application id of the EMR application.
```
log_entry = log.get_logentry()
log_entry.set_execution_id('application_001')
```

### log_entry.get_trace_id() and log_entry.set_trace_id(value: str)
* Used to get/set the trace id of the application.
* Example: Xray trace
```
log_entry = log.get_logentry()
log_entry.set_trace_id('xray_trace_id')
```

### log_entry.get_code_version() and log_entry.set_code_version(value: str)
* Used to get/set the code version of the application.
* Example: Jenkins build number
```
log_entry = log.get_logentry()
log_entry.set_code_version('1.0')
```

### log_entry.get_line_number() and log_entry.get_line_number(value: str)
* Used to get/set the line number of the log statement.
* Automatically setted by the data analytics logger.

### log_entry.get_method_name() and log_entry.set_method_name(value: str)
* Used to get/set the method name of the log statement.
* Automatically setted by the data analytics logger.

### log_entry.get_file_name() and log_entry.set_file_name(value: str)
* Used to get/set the file name of the log statement.
* Automatically setted by the data analytics logger.

### log_entry.get_application_name() and log_entry.set_application_name(value: str)
* Used to get/set the application name.
* Automatically setted by the data analytics logger during the initialization.

### log_entry.get_generic_context() and log_entry.set_generic_context(key:str, value: object)
* Used to get/set additional log context for the log entry.
```
log_entry = log.get_logentry()
log_entry.set_generic_context('emrClusterName', 'EMR_CLUSTER')
```