Metadata-Version: 2.4
Name: decologr
Version: 0.1.0
Summary: Decorative Logger - A logging utility with emoji decorations
Home-page: https://github.com/mxflask/decologr
Author: Mark Brooks
Author-email: 
License: MIT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: numpy
Requires-Dist: numpy>=1.20.0; extra == "numpy"
Provides-Extra: rich
Requires-Dist: rich>=13.0.0; extra == "rich"
Provides-Extra: textual
Requires-Dist: textual>=0.40.0; extra == "textual"
Provides-Extra: all
Requires-Dist: numpy>=1.20.0; extra == "all"
Requires-Dist: rich>=13.0.0; extra == "all"
Requires-Dist: textual>=0.40.0; extra == "all"
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

<div align="center">

![DecoLogr Logo](decologr_logo_640.png)

# Decologr

**A lightweight, decorative logger for Python**

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)

</div>

# decologr - Decorative Logger

A single file logging utility with emoji decorations and structured message formatting.

## Features

- **Emoji Decorations**: Automatic emoji decorations based on log level and message content
- **Rich Console Formatting**: Beautiful, color-coded console output with syntax highlighting (optional)
- **Structured Logging**: Support for JSON, parameters, and formatted messages
- **Project-Aware**: Configurable project name for log file naming
- **Backward Compatible**: Static method interface for easy migration

## Installation

```bash
pip install decologr
```

### Optional: Rich Support

For enhanced console output with colors and syntax highlighting:

```bash
pip install decologr[rich]
```

### Optional: Textual Support

For interactive log viewing in editors like JDXI:

```bash
pip install decologr[textual]
```

Or install from source:

```bash
cd decologr
pip install -e .
```

## Quick Start

```python
from decologr import Decologr, set_project_name, setup_logging

# Set project name (optional, defaults to "decologr")
set_project_name("myproject")

# Setup logging (optional)
setup_logging(verbose=True, project_name="myproject")

# Use Logger
Decologr.info("Hello, world!")
Decologr.error("Something went wrong", exception=ValueError("test"))
Decologr.json({"key": "value"})
```

## Usage

### Basic Logging

```python
from decologr import Decologr

Decologr.info("Information message")
Decologr.warning("Warning message")
Decologr.error("Error message")
Decologr.debug("Debug message")
```

### Logging with Exceptions

```python
from decologr import Decologr
try:
    result = 1 / 0
except ZeroDivisionError as e:
    Decologr.error("Division failed", exception=e)

# With Rich installed, exceptions display with beautiful tracebacks
try:
    result = 1 / 0
except ZeroDivisionError as e:
    Decologr.error("Division failed", exception=e, use_rich_traceback=True)

# Using log_exception helper function
from decologr import log_exception
try:
    # some code
except Exception as ex:
    log_exception(ex, "Error initializing database", use_rich_traceback=True)
```

**Rich Traceback Features** (when Rich is installed):
- **Syntax-highlighted code**: Code snippets in tracebacks are syntax-highlighted
- **Clear file paths**: File paths and line numbers are clearly marked
- **Better visualization**: Improved formatting for stack frames
- **Compact file logging**: Standard format still logged to files

### JSON Logging

```python
from decologr import Decologr
data = {"user": "alice", "action": "login"}
Decologr.json(data)  # Compact JSON (or pretty if Rich is enabled)

# With Rich installed, enable pretty-printing
Decologr.json(data, pretty=True)  # Pretty-printed, syntax-highlighted JSON

# Force compact format
Decologr.json(data, pretty=False)  # Always compact JSON

# Auto-detect (uses Rich if available)
Decologr.json(data, pretty=None)  # Default behavior
```

**Rich JSON Features** (when Rich is installed):
- Pretty-printed formatting with proper indentation
- Syntax highlighting for keys, values, and structure
- Better readability for complex nested data
- Compact JSON still logged to files for efficient storage

### Parameter Logging

```python
from decologr import Decologr

Decologr.parameter("User ID", user_id)
Decologr.parameter("Settings", {"theme": "dark", "lang": "en"})

# With Rich installed, dictionaries display as tables
config = {
    "database": {"host": "localhost", "port": 5432},
    "cache": {"enabled": True, "ttl": 3600}
}
Decologr.parameter("Configuration", config, use_rich=True)

# Lists display as trees (especially nested structures)
users = [
    {"id": 1, "name": "Alice", "roles": ["admin"]},
    {"id": 2, "name": "Bob", "roles": ["user"]}
]
Decologr.parameter("Users", users, use_rich=True)
```

**Rich Parameter Features** (when Rich is installed):
- **Tables for dictionaries**: Key-value pairs displayed in formatted tables
- **Trees for lists**: Nested structures displayed as expandable trees
- **Better visualization**: Color-coded values, proper formatting
- **Compact file logging**: Still logs compact format to files

### Header Messages

```python
from decologr import Decologr
Decologr.header_message("Starting Processing")

# With Rich installed, headers display as formatted panels
Decologr.header_message("Starting Processing", use_rich=True)

# Custom title for Rich panel
Decologr.header_message("Processing Complete", title="[bold green]Success[/bold green]", use_rich=True)

# Different log levels show different border colors
Decologr.header_message("Warning Section", level=logging.WARNING, use_rich=True)
Decologr.header_message("Error Section", level=logging.ERROR, use_rich=True)
```

**Rich Header Features** (when Rich is installed):
- **Formatted panels**: Headers displayed as bordered panels
- **Color-coded borders**: Border color matches log level (INFO=blue, WARNING=yellow, ERROR=red)
- **Custom titles**: Optional custom titles for panels
- **Better visual hierarchy**: Clear separation and distinction
- **Text file logging**: Still logs separator lines to files

## Configuration

### Setting Project Name

```python
from decologr import set_project_name, get_project_name

set_project_name("myproject")
print(get_project_name())  # "myproject"
```

### Setup Logging

```python
from decologr import setup_logging

# Setup with default project name
logger = setup_logging()

# Setup with custom project name
logger = setup_logging(project_name="myproject", verbose=True)

# Enable Rich formatting (if Rich is installed)
logger = setup_logging(use_rich=True, project_name="myproject")

# Auto-detect Rich (uses Rich if available, otherwise falls back to plain)
logger = setup_logging(use_rich=None, project_name="myproject")
```

### Rich Integration

When Rich is installed and enabled, decologr provides:

- **Color-coded log levels**: DEBUG (dim white), INFO (blue), WARNING (yellow), ERROR (red), CRITICAL (bold red)
- **Syntax highlighting**: Automatic highlighting for code, file paths, and structured data
- **Beautiful tracebacks**: Enhanced exception display with syntax highlighting
- **Markup support**: Rich markup in log messages for additional formatting

Rich formatting is **optional** - decologr works perfectly without it, maintaining full backward compatibility.

## Textual Log Viewer

When Textual is installed, decologr provides a beautiful log viewer component that can be integrated into programs like JDXI Editor:

```python
from decologr.viewer import create_log_viewer_widget
from pathlib import Path

# Create a viewer widget for embedding in your editor
log_file = Path("~/.decologr/logs/myproject.log")
viewer = create_log_viewer_widget(log_file=log_file)

# Or run standalone viewer
from decologr.viewer import run_log_viewer
run_log_viewer(log_file)
```

**Textual Viewer Features**:
- **Color-coded log levels**: Visual distinction for DEBUG, INFO, WARNING, ERROR, CRITICAL
- **Search functionality**: Filter logs by text content
- **Level filtering**: Show only logs above a certain level
- **Formatted display**: Clean, readable table format
- **Auto-scroll**: Automatically scrolls to latest logs
- **Embeddable**: Can be integrated into editors and applications

**Standalone Usage**:
```bash
python -m decologr.viewer <log_file>
# Or use the most recent log file automatically
python -m decologr.viewer
```

## API Reference

### Logger Class

All methods are static methods:

- `Decologr.info(message, *args, level=logging.INFO, stacklevel=3, silent=False)`
- `Decologr.debug(message, *args, level=logging.DEBUG, stacklevel=3, silent=False)`
- `Decologr.warning(message, *args, exception=None, level=logging.WARNING, stacklevel=4, silent=False, use_rich_traceback=None)` - Log warning
  - `use_rich_traceback=True`: Use Rich traceback formatting (requires Rich)
  - `use_rich_traceback=False`: Always use standard traceback
  - `use_rich_traceback=None`: Auto-detect (uses Rich if available)
- `Decologr.error(message, *args, exception=None, level=logging.ERROR, stacklevel=4, silent=False, use_rich_traceback=None)` - Log error
  - `use_rich_traceback=True`: Use Rich traceback formatting (requires Rich)
  - `use_rich_traceback=False`: Always use standard traceback
  - `use_rich_traceback=None`: Auto-detect (uses Rich if available)
- `Decologr.json(data, silent=False, pretty=None)` - Log JSON data
  - `pretty=True`: Use Rich pretty-printing (requires Rich)
  - `pretty=False`: Always use compact format
  - `pretty=None`: Auto-detect (uses Rich if available)
- `Decologr.parameter(message, parameter, float_precision=2, max_length=300, level=logging.INFO, stacklevel=4, silent=False, use_rich=None)` - Log structured parameter
  - `use_rich=True`: Use Rich tables/trees (requires Rich)
  - `use_rich=False`: Always use text-based formatting
  - `use_rich=None`: Auto-detect (uses Rich if available)
- `Decologr.header_message(message, level=logging.INFO, silent=False, stacklevel=3, use_rich=None, title=None)` - Log header message
  - `use_rich=True`: Use Rich panel formatting (requires Rich)
  - `use_rich=False`: Always use text-based separator lines
  - `use_rich=None`: Auto-detect (uses Rich if available)
  - `title`: Optional custom title for Rich panel
- `Decologr.debug_info(successes, failures, stacklevel=3)`

### Functions

- `setup_logging(verbose=False, project_name="decologr", use_rich=None)` - Setup logging configuration
  - `use_rich`: If `True`, use Rich formatting (requires Rich to be installed)
  - `use_rich`: If `None`, auto-detect and use Rich if available
  - `use_rich`: If `False`, use plain text formatting
- `log_exception(exception, message, stacklevel=4, use_rich_traceback=None)` - Log exception with message
  - `use_rich_traceback`: Control Rich traceback formatting (same as error/warning methods)
- `cleanup_logging(logger)` - Clean up logging handlers
- `set_project_name(project_name)` - Set the project name for logging
- `get_project_name()` - Get the current project name

## Example Output:
```python
from decologr import Decologr, set_project_name, setup_logging

# Set project name (optional, defaults to "decologr")
set_project_name("myproject")
# Setup logging (optional)
setup_logging(verbose=True, project_name="myproject")
╭─────────── myproject ────────────╮
│  myproject Application Starting  │
╰──────────────────────────────────╯
[...] INFO     ℹ️ myproject starting up with log file
                             .../.myproject/logs/myproject-...
<Logger myproject (INFO)>
# Use Logger
Decologr.info("Hello, world!") 
                    INFO     ℹ️ Hello, world!
Decologr.error("Something went wrong", exception=ValueError("test"))
```

## License

MIT License

## Author

Originally part of the JDXi Editor project.

