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Example: Logging & Syntax Highlighting

Demo: Test log formatting, colors, and structured output Script: logging_format_script.py Time: 1-2 minutes


What It Demonstrates​

  • Log level detection via keywords
  • Syntax highlighting for different data types
  • JSON pretty-printing
  • Exception stack traces with formatting

Key Pattern: Log Level Detection​

Prefix Detection (Priority 1)​

print("[INFO] This should be Information level")
print("[WARN] This should be Warning level")
print("[ERROR] This should be Error level")
print("[FATAL] This should be Critical level")

Output: Each line appears in Trace Panel with appropriate color.

Keyword Detection (Priority 2)​

print("Operation completed successfully") # → Info (contains "completed")
print("Warning: Memory usage is high") # → Warning (contains "warning")
print("Error occurred during processing") # → Error (contains "error")

Output: Automatic color coding based on detected keywords.


Key Pattern: Pretty JSON​

import json

data = {
"project": "Office Building",
"walls": 127,
"floors": 8,
"families": ["Walls", "Doors", "Windows"]
}

print(json.dumps(data, indent=2))

Output in Trace Panel:

{
"project": "Office Building",
"walls": 127,
"floors": 8,
"families": [
"Walls",
"Doors",
"Windows"
]
}
  • Keys in purple
  • Strings in yellow
  • Numbers in cyan
  • Proper indentation preserved

Key Pattern: Exception Formatting​

try:
result = 10 / 0
except Exception as e:
print(f"ERROR: {e}")
import traceback
traceback.print_exc()

Output:

ERROR: division by zero
Traceback (most recent call last):
File "logging_format_script.py", line 85, in test_exceptions
result = 10 / 0
ZeroDivisionError: division by zero
  • Stack trace with syntax highlighting
  • File paths clickable (if configured)
  • Line numbers visible

Try It Yourself​

  1. Load folder: samples/PythonDemo/commands/
  2. Execute logging_format_script.py
  3. Watch Trace Panel for colored output
  4. Observe different log levels and formatting

Full source: logging_format_script.py