Add configuration, utilities, and update server with enhanced monitoring features
- Add config.py for environment configuration management - Add utils.py with utility functions - Add .env.example for environment variable reference - Add routes_example.py as route reference - Add login.html template for authentication - Update server.py with enhancements - Update all dashboard and log templates - Move documentation to 'explanations and old code' directory - Update database schema
This commit is contained in:
Developer
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explanations and old code/IMPROVEMENT_ANALYSIS.md
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explanations and old code/IMPROVEMENT_ANALYSIS.md
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# Server Monitorizare - Code Analysis & Improvement Proposals
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## Current Architecture Overview
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The application is a Flask-based device monitoring system with:
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- SQLite database for logging
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- REST API endpoints for device communication
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- Web UI dashboard for visualization
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- Remote command execution capabilities
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- Bulk operations support with threading
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---
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## 🔴 Critical Issues & Improvements
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### 1. **Security Vulnerabilities**
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#### a) No Authentication/Authorization
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**Issue**: All endpoints are publicly accessible without any authentication
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```python
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@app.route('/logs', methods=['POST'])
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def log_event():
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# No authentication check - anyone can send logs
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```
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**Impact**: Critical - Anyone can:
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- Submit fake logs
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- Execute commands on devices
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- Reset the database
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- Access sensitive device information
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**Proposal**:
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```python
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from flask import session
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from functools import wraps
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def require_auth(f):
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@wraps(f)
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def decorated(*args, **kwargs):
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if 'user_id' not in session:
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return jsonify({"error": "Authentication required"}), 401
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return f(*args, **kwargs)
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return decorated
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@app.route('/logs', methods=['POST'])
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@require_auth
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def log_event():
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# Protected endpoint
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```
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---
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#### b) SQL Injection Risk (Minor - Using Parameterized Queries)
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**Status**: ✅ Good - Already using parameterized queries with `?` placeholders
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**Recommendation**: Maintain this practice
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---
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#### c) No API Key for Device Communication
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**Issue**: Devices communicate with server without authentication
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```python
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url = f"http://{device_ip}:80/execute_command" # No API key
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```
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**Proposal**: Add API key validation
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```python
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API_KEY = os.environ.get('DEVICE_API_KEY', 'default-key')
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headers = {
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'X-API-Key': API_KEY,
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'Content-Type': 'application/json'
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}
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response = requests.post(url, json=payload, headers=headers, timeout=30)
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```
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---
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### 2. **Code Structure & Maintainability**
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#### a) No Configuration Management
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**Issue**: Hardcoded values scattered throughout code
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```python
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DATABASE = 'data/database.db' # Hardcoded
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port=80 # Hardcoded
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timeout=30 # Hardcoded
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```
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**Proposal**: Create a config module
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```python
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# config.py
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import os
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from dotenv import load_dotenv
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load_dotenv()
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class Config:
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DATABASE = os.getenv('DATABASE_PATH', 'data/database.db')
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DEBUG = os.getenv('DEBUG', False)
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PORT = int(os.getenv('PORT', 80))
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REQUEST_TIMEOUT = int(os.getenv('REQUEST_TIMEOUT', 30))
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LOG_LEVEL = os.getenv('LOG_LEVEL', 'INFO')
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```
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---
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#### b) Database Connection Not Optimized
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**Issue**: Opening new connection for every request - no connection pooling
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```python
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with sqlite3.connect(DATABASE) as conn: # New connection each time
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cursor = conn.cursor()
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```
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**Impact**: Performance degradation with many concurrent requests
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**Proposal**: Use SQLAlchemy with connection pooling
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```python
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from flask_sqlalchemy import SQLAlchemy
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app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///data/database.db'
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db = SQLAlchemy(app)
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class Log(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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hostname = db.Column(db.String(255), nullable=False)
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device_ip = db.Column(db.String(15), nullable=False)
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# ... other fields
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```
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---
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#### c) No Logging System
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**Issue**: Using `print()` for debugging - not production-ready
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```python
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print(f"Database error: {e}")
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print("Log saved successfully")
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```
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**Proposal**: Implement proper logging
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```python
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import logging
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from logging.handlers import RotatingFileHandler
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[
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RotatingFileHandler('logs/app.log', maxBytes=10485760, backupCount=10),
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logging.StreamHandler()
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]
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)
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logger = logging.getLogger(__name__)
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# Usage
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logger.info("Log saved successfully")
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logger.error(f"Database error: {e}")
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logger.warning("Missing required fields")
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```
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---
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### 3. **Error Handling**
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#### a) Inconsistent Error Responses
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**Issue**: Errors returned with inconsistent structures
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```python
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return {"error": "Invalid or missing JSON payload"}, 400
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return jsonify({"error": f"Database connection failed: {e}"}), 500
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```
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**Proposal**: Create a standardized error handler
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```python
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class APIError(Exception):
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def __init__(self, message, status_code=400):
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self.message = message
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self.status_code = status_code
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@app.errorhandler(APIError)
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def handle_api_error(e):
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response = {
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'success': False,
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'error': e.message,
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'timestamp': datetime.now().isoformat()
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}
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return jsonify(response), e.status_code
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# Usage
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if not hostname:
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raise APIError("hostname is required", 400)
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```
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---
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#### b) Bare Exception Handling
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**Issue**: Catching all exceptions without logging details
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```python
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except Exception as e:
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return {"error": "An unexpected error occurred"}, 500
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```
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**Impact**: Difficult to debug issues in production
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**Proposal**: Specific exception handling with logging
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```python
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except sqlite3.Error as e:
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logger.error(f"Database error: {e}", exc_info=True)
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raise APIError("Database operation failed", 500)
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except requests.exceptions.Timeout:
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logger.warning(f"Request timeout for device {device_ip}")
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raise APIError("Device request timeout", 504)
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except Exception as e:
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logger.exception("Unexpected error occurred")
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raise APIError("Internal server error", 500)
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```
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---
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### 4. **Input Validation**
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#### a) Minimal Validation
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**Issue**: Only checking if fields exist, not their format
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```python
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if not hostname or not device_ip or not nume_masa or not log_message:
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return {"error": "Missing required fields"}, 400
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# No validation of format/length
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```
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**Proposal**: Implement comprehensive validation
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```python
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from marshmallow import Schema, fields, ValidationError
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class LogSchema(Schema):
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hostname = fields.Str(required=True, validate=Length(min=1, max=255))
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device_ip = fields.IP(required=True)
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nume_masa = fields.Str(required=True, validate=Length(min=1, max=255))
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log_message = fields.Str(required=True, validate=Length(min=1, max=1000))
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schema = LogSchema()
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@app.route('/logs', methods=['POST'])
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def log_event():
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try:
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data = schema.load(request.json)
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except ValidationError as err:
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return jsonify({'errors': err.messages}), 400
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```
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---
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### 5. **Threading & Concurrency**
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#### a) Basic Threading Without Safety
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**Issue**: Creating unbounded threads for bulk operations
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```python
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for ip in device_ips:
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thread = threading.Thread(target=execute_on_device, args=(ip,))
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threads.append(thread)
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thread.start()
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```
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**Impact**: Can exhaust system resources with many requests
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**Proposal**: Use ThreadPoolExecutor with bounded pool
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```python
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from concurrent.futures import ThreadPoolExecutor, as_completed
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def execute_command_bulk():
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try:
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data = request.json
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device_ips = data.get('device_ips', [])
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command = data.get('command')
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results = {}
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max_workers = min(10, len(device_ips)) # Max 10 threads
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with ThreadPoolExecutor(max_workers=max_workers) as executor:
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future_to_ip = {
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executor.submit(execute_command_on_device, ip, command): ip
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for ip in device_ips
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}
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for future in as_completed(future_to_ip):
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ip = future_to_ip[future]
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try:
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results[ip] = future.result()
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except Exception as e:
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logger.error(f"Error executing command on {ip}: {e}")
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results[ip] = {"success": False, "error": str(e)}
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return jsonify({"results": results}), 200
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```
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---
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### 6. **Data Persistence & Backup**
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#### a) No Database Backup
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**Issue**: `reset_database()` endpoint can delete all data without backup
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**Proposal**: Implement automatic backups
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```python
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import shutil
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from datetime import datetime
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def backup_database():
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"""Create a backup of the current database"""
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timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
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backup_file = f'backups/database_backup_{timestamp}.db'
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os.makedirs('backups', exist_ok=True)
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shutil.copy2(DATABASE, backup_file)
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logger.info(f"Database backup created: {backup_file}")
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# Keep only last 10 backups
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backups = sorted(glob.glob('backups/database_backup_*.db'))
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for backup in backups[:-10]:
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os.remove(backup)
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```
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---
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### 7. **Performance Issues**
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#### a) Inefficient Queries
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**Issue**: Fetching all results without pagination
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```python
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cursor.execute('''
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SELECT * FROM logs
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LIMIT 60 # Still loads everything into memory
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''')
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logs = cursor.fetchall()
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```
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**Proposal**: Implement pagination
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```python
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def get_logs_paginated(page=1, per_page=20):
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offset = (page - 1) * per_page
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cursor.execute('''
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SELECT * FROM logs
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ORDER BY timestamp DESC
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LIMIT ? OFFSET ?
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''', (per_page, offset))
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return cursor.fetchall()
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```
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---
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#### b) No Caching
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**Issue**: Unique devices query runs on every request
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```python
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@app.route('/unique_devices', methods=['GET'])
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def unique_devices():
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# No caching - database query every time
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```
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**Proposal**: Add caching layer
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```python
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from flask_caching import Cache
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cache = Cache(app, config={'CACHE_TYPE': 'simple'})
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@app.route('/unique_devices', methods=['GET'])
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@cache.cached(timeout=300) # Cache for 5 minutes
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def unique_devices():
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# Query only executed once per 5 minutes
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```
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---
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### 8. **Code Organization**
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#### a) Monolithic Structure
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**Issue**: All code in single file (462 lines) - hard to maintain
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**Proposal**: Split into modular structure
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```
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server.py (main app)
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├── config.py (configuration)
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├── models.py (database models)
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├── routes/
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│ ├── __init__.py
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│ ├── logs.py (logging endpoints)
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│ ├── devices.py (device management)
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│ └── commands.py (command execution)
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├── services/
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│ ├── __init__.py
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│ ├── device_service.py
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│ └── command_service.py
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├── utils/
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│ ├── __init__.py
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│ ├── validators.py
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│ └── decorators.py
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└── tests/
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├── __init__.py
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└── test_routes.py
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```
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---
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### 9. **Missing Features**
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#### a) Rate Limiting
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```python
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from flask_limiter import Limiter
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from flask_limiter.util import get_remote_address
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limiter = Limiter(
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app=app,
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key_func=get_remote_address,
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default_limits=["200 per day", "50 per hour"]
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)
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@app.route('/logs', methods=['POST'])
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@limiter.limit("10 per minute")
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def log_event():
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# Prevent abuse
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```
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---
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#### b) CORS Configuration
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```python
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from flask_cors import CORS
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CORS(app, resources={
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r"/api/*": {
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"origins": ["http://localhost:3000"],
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"methods": ["GET", "POST"],
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"allow_headers": ["Content-Type", "Authorization"]
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}
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})
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```
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---
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#### c) Health Check Endpoint
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```python
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@app.route('/health', methods=['GET'])
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def health():
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try:
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with sqlite3.connect(DATABASE) as conn:
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conn.execute('SELECT 1')
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return jsonify({"status": "healthy"}), 200
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except:
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return jsonify({"status": "unhealthy"}), 503
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```
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---
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### 10. **Testing**
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#### a) No Unit Tests
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**Proposal**: Add pytest tests
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```python
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# tests/test_logs.py
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import pytest
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from app import app, DATABASE
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@pytest.fixture
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def client():
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app.config['TESTING'] = True
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with app.test_client() as client:
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yield client
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def test_log_event_success(client):
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response = client.post('/logs', json={
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'hostname': 'test-host',
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'device_ip': '192.168.1.1',
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'nume_masa': 'test',
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'log_message': 'test message'
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})
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assert response.status_code == 201
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def test_log_event_missing_fields(client):
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response = client.post('/logs', json={
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'hostname': 'test-host'
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})
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assert response.status_code == 400
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```
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||||
|
||||
---
|
||||
|
||||
## 📋 Implementation Priority
|
||||
|
||||
### Phase 1 (Critical - Week 1)
|
||||
- [ ] Add authentication/authorization
|
||||
- [ ] Implement proper logging
|
||||
- [ ] Add input validation with Marshmallow
|
||||
- [ ] Create config.py for configuration management
|
||||
|
||||
### Phase 2 (High - Week 2)
|
||||
- [ ] Switch to SQLAlchemy with connection pooling
|
||||
- [ ] Add database backups
|
||||
- [ ] Implement pagination for queries
|
||||
- [ ] Add health check endpoint
|
||||
|
||||
### Phase 3 (Medium - Week 3)
|
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- [ ] Refactor into modular structure
|
||||
- [ ] Add rate limiting
|
||||
- [ ] Implement caching
|
||||
- [ ] Add API documentation (Swagger/OpenAPI)
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### Phase 4 (Low - Week 4)
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||||
- [ ] Add unit tests with pytest
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- [ ] Add CORS configuration
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- [ ] Performance optimization
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- [ ] Docker containerization
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||||
|
||||
---
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||||
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||||
## 📊 Summary Table
|
||||
|
||||
| Issue | Severity | Impact | Effort |
|
||||
|-------|----------|--------|--------|
|
||||
| No Authentication | 🔴 Critical | Security breach | Medium |
|
||||
| No Logging | 🔴 Critical | Cannot debug production | Low |
|
||||
| Monolithic Structure | 🟠 High | Unmaintainable | Medium |
|
||||
| No Input Validation | 🟠 High | Data integrity issues | Low |
|
||||
| Basic Threading | 🟠 High | Resource exhaustion | Medium |
|
||||
| No Pagination | 🟡 Medium | Memory issues at scale | Low |
|
||||
| No Tests | 🟡 Medium | Regression risks | High |
|
||||
| No Rate Limiting | 🟡 Medium | Abuse potential | Low |
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Quick Wins (Easy Improvements)
|
||||
|
||||
1. **Add logging** (5 min) - Replace all `print()` statements
|
||||
2. **Add health check** (5 min) - Simple endpoint
|
||||
3. **Add rate limiting** (10 min) - Flask-Limiter integration
|
||||
4. **Add error standardization** (15 min) - Create error handler
|
||||
5. **Create .env file** (10 min) - Move hardcoded values
|
||||
|
||||
---
|
||||
|
||||
## 📚 Recommended Dependencies
|
||||
|
||||
```
|
||||
flask==3.0.0
|
||||
flask-sqlalchemy==3.1.1
|
||||
flask-cors==4.0.0
|
||||
flask-limiter==3.5.0
|
||||
flask-caching==2.1.0
|
||||
marshmallow==3.20.1
|
||||
python-dotenv==1.0.0
|
||||
requests==2.31.0
|
||||
pytest==7.4.3
|
||||
gunicorn==21.2.0
|
||||
```
|
||||
|
||||
Reference in New Issue
Block a user