az-smart-logger 1.0.1

Smart Logger library for Python projects with FastAPI, Flask, and Django support

Smart Logger

Smart Logger is a Python logging library with FastAPI, Flask, and Django support. It provides UUID-based logs, date/parent_folder structured logs, database metadata storage, and a FastAPI dashboard with filters, real-time monitoring, charts.

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Features

• Multi-framework support: FastAPI, Flask, Django

• Structured logging: UUID for each log entry

• Dynamic folder structure: date/parent_folder/filename.log

• Database metadata storage (default SQLite)

• SmartLogger class with logging levels:

  • logger.info()
  • logger.error()
  • logger.warning()
  • logger.critical()
  • logger.debug()

• FastAPI Dashboard UI:

  • Real-time logs
  • Filter logs by date, time, UUID, log type
  • Bar charts for daily, monthly, yearly log insights
  • System info cards and statistics
  • Interactive UI with logout functionality

• Secure: input sanitization, token-based authentication, blacklist token support

• CLI commands for user management, configuration, and server launch

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Installation

pip install smart-logger

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Usage

1. FastAPI Example

from fastapi import FastAPI
from smart_logger import SmartLogger

app = FastAPI()
logger = SmartLogger()

@app.get("/")
def home():
    logger.info("Home accessed")  # UUID, folder, filename auto-detected
    return {"message": "Hello FastAPI"}

2. Flask Example

from flask import Flask
from smart_logger import SmartLogger

app = Flask(__name__)
logger = SmartLogger()

@app.route("/")
def home():
    logger.info("Home accessed")
    return "Hello Flask"

3. Django Example

from smart_logger import SmartLogger

logger = SmartLogger()

def example_view(request):
    logger.info("Django view accessed")
    from django.http import HttpResponse
    return HttpResponse("Hello Django")

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CLI Commands

Launch Dashboard UI

smart-logger ui --host 127.0.0.1 --port 8000 --workers 1 --reload False

• --reload optional (default False)
• Runs isolated FastAPI server independent of main project

Initialize Database Tables

smart-logger init-db

Admin User Management

• Create admin user:

smart-logger create-admin-user

• Change password:

smart-logger change-password <email>

• Forgot password (reset without old password):

smart-logger forgot-password <email>

• List users:

smart-logger list-users

• Delete user:

smart-logger delete-user <email>

Configuration Management

• Set global config:

smart-logger set_config

• Show active config:

smart-logger show_config

• Create default config:

smart-logger make-smart-logger-default-conf

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Folder Structure

smart_logger/
├── cli/
├── config/
├── core/
├── exceptions/
├── models/
├── security/
├── ui/
├── tests/
├── examples/
├── setup.py
├── pyproject.toml
├── setup.cfg
├── LICENSE
└── README.md

• core/ → Logger class, DB handlers
• ui/ → Dashboard server, templates, static files
• cli/ → Commands for server launch, user management
• models/ → SQLAlchemy models
• security/ → Auth, middleware, blacklist token
• config/ → Default and global configuration
• tests/ → Unit and integration tests
• examples/ → Usage examples

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Logging API

from smart_logger import SmartLogger

logger = SmartLogger()

logger.info("Informational message")
logger.warning("Warning message")
logger.error("Error message")
logger.critical("Critical message")
logger.debug("Debugging message")

• Folder and file auto-detection: module name used if not provided
• UUID generated for every log entry
• Database metadata stored automatically

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Dashboard Features

• Real-time log view

• Filter by: date, time, UUID, log type

• Download: CSV, JSON

• Charts:

  • Daily/Monthly/Yearly error insights
  • Bar charts by log type

• System info: CPU, memory, uptime

• Cards & Stats for quick overview

• Logout button for secure access

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License

MIT License. See LICENSE file for details.

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✅ Key Points:

1. Clear instructions for installation and usage.
2. Examples for FastAPI, Flask, Django included.
3. CLI instructions for UI and DB initialization.
4. Folder structure overview for developers.
5. Ready for PyPI and GitHub documentation.