🚀 Big News: Socket Acquires Coana to Bring Reachability Analysis to Every Appsec Team.Learn more
Socket
Book a DemoInstallSign in
Socket

logscope

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

logscope

Fancy logging with local SQLite storage.

0.1.10
PyPI
Maintainers
1

Logscope

Logscope is a Python logging library that brings together SQLite storage and pretty console output. Write logs to both your terminal and a queryable database with a dead-simple API.

Features

  • Write logs to SQLite + console simultaneously
  • Smart context tracking (captures function names and calling code)
  • Colorized, pretty console output
  • Thread-safe SQLite operations
  • Dead simple API
  • Trace Execution: Automatically log function calls, returns, and exceptions
  • Flexible Querying: Retrieve logs with custom SQL queries

Installation

pip install logscope

Quick Start

from logscope import logger

# Get a logger with default settings (SQLite + console output)
log = logger()

# Log some things!
log("Starting analysis")
log("Processing item", {"id": 123, "status": "pending"})

Configuration

import logging
from logscope import logger

# All settings are optional
log = logger(
    db_path='app.db',      # Where to store the SQLite database
    style='plain',         # 'plain' or 'colorful' console output
    name='MyApp',          # Logger name (defaults to timestamp)
    level=logging.INFO     # Logging level (default: DEBUG)
)

Tracing Functions

Logscope includes a @trace decorator to automatically log function calls, returns, and exceptions:

from logscope.tracing import trace

@trace
def my_function(a, b):
    return a + b

my_function(2, 3)  # Automatically logs the call, return value, and source code

How It Works

Each log message is:

  • Written to a SQLite database for later querying
  • Displayed in your console with context details
  • Tracked with its calling context (which function called it and how)

Example console output:

2024-03-15 14:23:45.123456> Starting analysis
  · process_data:data = process_data("large_file.txt")
  · /path/to/script.py:45

Querying Logs

Use the query function to fetch logs directly from Python:

from logscope import query

logs = query("SELECT * FROM logs WHERE event_type = 'error'", db_path='app.db')
for log in logs:
    print(log)

Database Schema

Logs are stored in SQLite with this schema:

CREATE TABLE logs (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    run TEXT,              -- Unique ID for each logger instance
    timestamp TEXT,        -- ISO format with microseconds
    message TEXT,          -- The logged message
    filename TEXT,         -- Source file path
    lineno INTEGER,        -- Line number
    source TEXT,          -- The actual calling code
    function TEXT,         -- Calling function name
    event_type TEXT        -- Custom event type (e.g., 'error', 'info')
);

Example Queries

Get the last 10 logs from a specific run:

SELECT timestamp, message, function
FROM logs
WHERE run = '2024-03-15 14:23:45.123456'
ORDER BY timestamp DESC
LIMIT 10;

Find all errors from a specific function:

SELECT timestamp, message
FROM logs
WHERE function = 'process_data'
  AND message LIKE '%error%'
ORDER BY timestamp;

Retrieve all logs with a custom event type:

SELECT *
FROM logs
WHERE event_type = 'trace';

License

MIT License - See LICENSE file for details

FAQs

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts