Skip to main content

Singleton Logging Service

Logging service that is guaranteed to be a singleton. Based on Python logging, but every instantiation of LoggingService from any of an application's modules returns the same logger instance.

###Examples:

    from logging_service import LoggingService

    self.log = LoggingService()

    self.log.info("Constructing output file names...")
    self.log.err("Failed to construct output file names...")
    self.log.warn("Output file names are unusual...")
    self.log.debug("Constructing output file names foo.bar, fum.txt...")

This API is more primitive than the hierarchical native logging module, but hopefully simple to use. One can:

    - Log to a file,
    - The console, or
    - Both

For convenience, the logging levels logging.DEBUG, logging.INFO, etc. are available in this package as enums: LoggingLevel.DEBUG, LoggingLevel.INFO, etc. Just import LoggingLevel with LoggingService.

A single formatter is built in for info/debug/warn/err. Example:

my_module.py(290375): 2020-09-03 14:58:33,017;INFO: Start Epoch [1/50]

When first creating a LoggingService instance, the following options are available in the constructor; all are optional:

logging_level=LoggingLevel.INFO    # equivalent to the Python logging package's constants
logfile=None,                 # destination file; None implies console only
tee_to_console=True,          # if logfile is specified, also log to console
msg_identifier=None,          # shown at start of each msg; default is module name
rotating_logs=True,           # if logging to file, rotate log if size exceeded
log_size=1000000,             # max log size for rotation
max_num_logs=500,             # max number of full logs to retain
logger_name=None              # name for the logger instance

After creation a logger instance may only be modified like this:

- my_logger.logging_level = LoginLevel.<NEW_LEVEL>
- my_logger.log_file      = '/tmp/new_logfile'

where logging levels are the usual logging.INFO, logging.WARN, etc.

Metadata

Release files for logging-singleton 1.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for logging-singleton 1.0.4
File Size Uploaded Provenance
logging_singleton-1.0.4.tar.gz 9.8 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for logging-singleton 1.0.4
File Interpreter ABI Platform
logging_singleton-1.0.4-py3-none-any.whl Python 3 none any Details

Total release size: 19.5 kB

Release files / logging_singleton-1.0.4.tar.gz

Download URL logging_singleton-1.0.4.tar.gz
Size 9.8 kB
Tags Source
SHA-256 checksum
How to use checksums
9201423ea044d076e93cc28061b9a6f4e2f5557d888f77453a018932f57fdba8
BLAKE2b-256 checksum
How to use checksums
93fbd3c6b8816f9a6f29abcb453ba2cc1f4294399b2e89a30208077f2ce635cf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.2

Release files / logging_singleton-1.0.4-py3-none-any.whl

Download URL logging_singleton-1.0.4-py3-none-any.whl
Size 9.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b6fbeab32a76def9115bfdbcfb078bfaa8d7ec8d3f80dfe2fe6848c9b8a92658
BLAKE2b-256 checksum
How to use checksums
63df969b17ba88b9576ca0df7016561fb1ebd365b7b0f9e91559f007cd00f460
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.2

Security for logging-singleton 1.0.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page