logduo 0.1.2

Logging, console output, and file management for Python — simple by default, configurable for advanced workflows.

Logduo

Logging, console output, and file management for Python scripts and interactive sessions.

Simple by default, configurable for advanced logging workflows.

Platform: Tested on macOS, Windows, and Ubuntu.

Key Capabilities

• Manages output directories and log files
• Supports ANSI-styled and Rich console output while preserving readable plain-text logs
• Provides extensive help() documentation and actionable error messages
• Validates arguments to all Logduo methods and functions to prevent unexpected behavior
• Safely prunes old run directories containing a Logduo marker file
• Generates session artifacts: config_table.txt, config.json
• Captures JSONL event streams
• Creates dedicated log files via new_logger()
• Creates custom logging labels via new_level()
• Supports nested scripts via log.join() and run()

Quick Start (in script or interactive session)

from logduo import log

log("hello world")
log.warning("warning message")

If a message is logged before log.configure() is called, the logging session starts automatically using Logduo defaults and pyproject.toml settings.

Key default settings:

• console_verbosity = 2 and log_verbosity = 2
  • Messages (other than TRACE and DEBUG) are sent to both the console and the main log file.
• log_dir_path = "auto"
  • The logs directory is placed in the project root if identified; otherwise, in the current working directory.
• log_file_layout = "run"
  • Logs are created in timestamped run directories.
• keep = "off"
  • Previous run directories are not pruned automatically.
  • If keep is set to a positive integer n, the newest n Logduo-marked run directories are kept and older run directories are pruned.
• write_config_table = True
  • config_table.txt is written with configuration values, descriptions, and allowed values.

Configure (Optional)

Recommendation: Place all regularly used configuration settings in pyproject.toml under [tool.logduo]

from pathlib import Path
from logduo import log

my_log_dir = Path("/absolute/path/to/my_log_dir")

log.configure(log_dir_path=my_log_dir, keep=3, console_verbosity=3, log_verbosity=3)
log("hello world")

Export Logduo Docs

Export bundled documentation and example scripts to a local logduo_docs/ directory:

log.export_logduo_docs()

Exported files include:

• README.txt
• examples/first_script.py
• examples/console_rendering.py
• examples/data_analysis.py
• examples/math_report_notation.py
• examples/nested_parent_script.py
• examples/nested_child_script.py

Help

• Help is available for all Logduo methods and functions (displays in console only):

  help(log.configure)
  

• Help includes examples, argument descriptions, and usage notes.

Typical Workflows

• Debug session: By default, log.debug() includes the calling file name and line number at the start of each message. Disable with: log.configure(..., show_debug_source=False)

   from logduo import log
   log.configure(log_verbosity=3, console_verbosity=3)
  
   log.debug(f"made it here: var = {var}")
  

• Create additional log files for dedicated output. Messages logged with rep are recorded in report.log and optionally mirrored to the console and/or main log file.

   rep = log.new_logger("report", to_console=True, to_main_log=False)
   rep("Question 1 answer:")
  

• Use the output directory to save plots, CSVs, reports, and other generated files

   myplot_output_path = log.output_dir_path / "myplot.png"
  

• Close the session (required in interactive sessions, optional in scripts)

   log.close()
  

Logduo Methods and Functions

• Manage session:

  • log.configure()
  • log.close()
  • log.join()

• Log levels:

  • log() or log.info()
  • log.trace()
  • log.debug()
  • log.success()
  • log.warning()
  • log.error()
  • log.critical()
  • log.exception() # ERROR + Traceback

• Create custom log label:

  • log.new_level() # Create a custom label handled as an existing level; default = "INFO"

• Create additional output:

  • log.new_logger() # Logduo-managed extra log file
  • log.new_loguru_sink() # Advanced Loguru sink
  • log.export_logduo_docs()

• Access paths:

  • log.output_dir_path
  • log.main_log_file_path

• Utility function:

  • run() # Execute child script or importable module in a parent script or an interactive session.
  • Import with: from logduo import run

Behavior

Prefixes

• One prefix per log event.

• Console and log files have independent prefix settings: console_prefix, log_prefix

  • off → No prefix. Wrapped lines align flush left
  • level → Prefix shows level. Wrapped lines align under message.
  • timestamp → Prefix shows timestamp and level. Wrapped lines align under message.
  • source → Prefix shows timestamp, level, and source. Wrapped lines align under source.

• Example console output: console_prefix="source", show_pid_in_console=True, console_wrap_width=80

    16:30:40.371 | WARNING  | example_2.py:382 -  (15408:i1) Logduo is designed for
                              data scientists, researchers, students, and Python
                              developers who want readable console output, organized
                              log files, and minimal logging setup.
  

Message Rendering

• Strings without \n: Displayed inline with the prefix.
  • Console: Wrapped (displayed line width = console_wrap_width).
  • Log files: Wrapped only if log_wrap_width is set to a positive integer. Default is "off".
• Strings containing \n: Displayed as block flush left below prefix. Line breaks are honored.

  • This preserves the full available line width for tables, panels, JSON, tracebacks, and other structured content.

  • Use manual indenting or Rich Padding if indent behavior is desired:

     indent = " " * 13
     log(
        f"{indent}Step 1: Load data\n"
        f"{indent}Step 2: Clean data\n"
     ) 
    

• ANSI-styled strings and Rich Text objects are rendered on the console and written as plain text in log files.
• Other Rich objects, such as Panel, are rendered on the console but displayed as placeholders in log files.
  • For more examples, use log.export_logduo_docs() and see console_rendering.py.

Log File Name and Location

• Log file name:
  • Custom log_file_name: log.configure(log_file_name="my_name.ext")
  • Default log_file_name: calling script stem + .log
    • If the calling script is my_file.py: default log_file_name → my_file.log
    • If no calling script is found, as expected in interactive sessions: default log_file_name → session.log
• Location of log directory:
  • Custom log_dir_path: log.configure(log_dir_path=my_log_dir)
  • Default log_dir_path:
    • If pyproject.toml is not detected: log_dir_path = current working directory / "logs"
    • If pyproject.toml is detected: log_dir_path = parent directory of pyproject.toml / "logs"
• Location of log file: set by log_file_layout: "flat", "script", or "run" (default)
  • flat: log_dir_path/log_file_name
  • script: log_dir_path/script_stem/log_file_name
  • run: log_dir_path/script_stem/run_yyyy_mm_dd__hh_mm_ss/log_file_name

Note:

• If no calling script is found, script_stem is set to "session" when log_file_layout = "script" or "run"
• If log_file_path is provided, it specifies the complete log file path
  • log_file_path overrides log_file_layout, log_dir_path, and log_file_name
  • log_file_path does not override log_file_mode ("write", "append", or "timestamped")
  • log.output_dir_path is set to the parent of log_file_path

Loguru Integration

• Logduo uses Loguru as its underlying file-sink engine.

• The following Loguru sink options can be passed through log.configure():

  • rotation: start a new log file when a size/time rule is met. Example: rotation="10 MB" or rotation="1 week". Use rotation="off" for no rotation (default = "off").
  • retention: remove older rotated log files when a retention rule is met. Example: retention="14 days" or retention=5. This applies to rotated files, not to Logduo run-directory pruning (default = "off").
  • compression: compress rotated log files. Example: compression="zip". This applies to rotated files, not the active log file (default = "off").
  • enqueue: write logs through a background queue. Useful for thread/process safety (default = True).
  • catch: catch logging errors instead of letting them crash the program (default = True).
  • backtrace: show extended traceback context for exceptions (default = False).
  • diagnose: include extra variable/context information in exception tracebacks (default = False).

• Logduo performs message formatting, wrapping, routing, session management, and Rich integration before messages reach Loguru.

• Use log.new_logger() when you want a normal Logduo-managed extra log file.

• Use log.new_loguru_sink() when you want direct Loguru control, such as:

  • using custom Loguru filters
  • adding extra Loguru sinks
  • sending selected events to separate destinations
  • passing options directly to logger.add()

• Sinks added with log.new_loguru_sink() are advanced/pass-through sinks. They are not managed like standard Logduo main logs or new_logger() files.

Quality Assurance

Logduo is validated using:

• pytest, with over 500 individual tests
• Ruff
• mypy
• Vulture