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Grid-Based Professional Logging System v2.0
============================================
A verbose but clean logging system with:
- Fixed-width grid layout for perfect column alignment
- Semantic syntax highlighting for values and tokens
- Burst suppression (deduplication) for repeated messages
- Progress indicators that update on the same line
- Thread-safe context variables for request tracking
Author: AI Studio Proxy API
License: MIT
(Refactored: logic moved to logging_utils.core submodules)
"""
from logging_utils.core.constants import (
SOURCE_MAP,
Colors,
Columns,
)
from logging_utils.core.context import (
request_id_var,
source_var,
)
from logging_utils.core.logger import (
AbortErrorFilter,
BrowserNoiseFilter,
flush_burst_buffer,
get_request_id,
get_source,
log_context,
log_object,
request_context,
set_request_id,
set_source,
setup_grid_logging,
)
from logging_utils.core.rendering import (
BurstBuffer,
GridFormatter,
JSONFormatter,
PlainGridFormatter,
ProgressLine,
SemanticHighlighter,
_burst_buffer,
_format_value,
format_object,
normalize_source,
)
__all__ = [
"Colors",
"Columns",
"SOURCE_MAP",
"request_id_var",
"source_var",
"SemanticHighlighter",
"BurstBuffer",
"_burst_buffer",
"_format_value",
"GridFormatter",
"JSONFormatter",
"PlainGridFormatter",
"format_object",
"log_object",
"ProgressLine",
"set_source",
"set_request_id",
"get_source",
"get_request_id",
"flush_burst_buffer",
"setup_grid_logging",
"BrowserNoiseFilter",
"AbortErrorFilter",
"log_context",
"request_context",
"normalize_source",
]
if __name__ == "__main__":
import logging
import random
import string
# Setup logging
logger = setup_grid_logging(level=logging.DEBUG)
print()
print("=" * 70)
print(" GRID LOGGING SYSTEM v2.0 - DEMONSTRATION")
print("=" * 70)
print()
# Generate a random request ID (like your existing system)
req_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=7))
# =========================================================================
# Test 1: Basic logging with source switching
# =========================================================================
set_request_id(req_id)
set_source("API")
logger.info("Received /v1/chat/completions request (Stream=True)")
set_source("WORKR")
logger.info("Processing request logic")
logger.info("Dequeued request from queue")
# Use log_context for source switching
with log_context("UI State Validation", logger):
logger.info("Temperature matches (0.0). No update needed.")
logger.info("Max tokens: 8192, Top-P: 0.95")
with log_context("Model Switching", logger, source="BROWR"):
logger.info("Current model: 'gemini-1.5-flash'")
logger.info("Target model: 'gemini-2.0-flash-exp'")
logger.info("Model switch completed in 1.2s")
# =========================================================================
# Test 2: Burst suppression
# =========================================================================
print()
print("-" * 70)
print(" BURST SUPPRESSION DEMO")
print("-" * 70)
print()
set_source("PROXY")
set_request_id(" ")
# Simulate repeated messages
for _ in range(5):
logger.info("Sniff HTTPS requests to: aistudio.google.com:443")
logger.info("Different message - this triggers flush")
for _ in range(3):
logger.error("[UPSTREAM ERROR] 429 Too Many Requests")
logger.warning("Another different message")
# =========================================================================
# Test 3: Semantic highlighting
# =========================================================================
print()
print("-" * 70)
print(" SEMANTIC HIGHLIGHTING DEMO")
print("-" * 70)
print()
set_source("SYS")
logger.info("Processing True and False values with None")
logger.info("Temperature: 0.95, max_tokens: 2048, top_p: 0.9")
logger.info("Loaded model 'gemini-2.0-flash-exp' successfully")
logger.info("URL: https://aistudio.google.com/prompts")
logger.warning("Warning: Rate limit approaching")
logger.error("Error: Connection failed after 3 retries")
logger.info("Success: Request completed in 150ms")
# =========================================================================
# Test 4: Object dumping
# =========================================================================
print()
print("-" * 70)
print(" OBJECT DUMP DEMO")
print("-" * 70)
print()
data = {
"model": "gemini-2.0-flash-exp",
"temperature": 0.7,
"stream": True,
"messages": [
{"role": "user", "content": "Hello!"},
{"role": "assistant", "content": "Hi there!"},
],
}
log_object(logger, data, "Request Parameters")
print()
print("=" * 70)
print(" DEMONSTRATION COMPLETE")
print("=" * 70)
print()
# Flush any remaining burst buffer
flush_burst_buffer()
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