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import streamlit as st |
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from streamlit_lottie import st_lottie |
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from streamlit_option_menu import option_menu |
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import requests |
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import pandas as pd |
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import plotly.express as px |
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import plotly.graph_objects as go |
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from datetime import datetime |
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import httpx |
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import asyncio |
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import aiohttp |
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from bs4 import BeautifulSoup |
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import whois |
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import ssl |
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import socket |
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import dns.resolver |
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from urllib.parse import urlparse |
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import json |
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import numpy as np |
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from selenium import webdriver |
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from selenium.webdriver.chrome.options import Options |
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from webdriver_manager.chrome import ChromeDriverManager |
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from PIL import Image |
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import io |
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import time |
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import matplotlib.pyplot as plt |
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import seaborn as sns |
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st.set_page_config( |
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layout="wide", |
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page_title="محلل المواقع المتقدم | Website Analyzer Pro", |
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page_icon="🔍", |
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initial_sidebar_state="expanded" |
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) |
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st.markdown(""" |
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<style> |
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/* تخصيص الخلفية والألوان */ |
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.main { |
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background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%); |
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padding: 20px; |
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} |
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/* تنسيق البطاقات */ |
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.metric-card { |
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background: white; |
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border-radius: 15px; |
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padding: 20px; |
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box-shadow: 0 4px 6px rgba(0,0,0,0.1); |
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transition: transform 0.3s ease; |
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} |
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.metric-card:hover { |
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transform: translateY(-5px); |
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} |
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/* تنسيق الأزرار */ |
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.stButton>button { |
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background: linear-gradient(45deg, #2196F3, #21CBF3); |
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color: white; |
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border-radius: 25px; |
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padding: 15px 25px; |
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border: none; |
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box-shadow: 0 4px 15px rgba(0,0,0,0.2); |
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transition: all 0.3s ease; |
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} |
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.stButton>button:hover { |
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transform: translateY(-2px); |
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box-shadow: 0 6px 20px rgba(0,0,0,0.25); |
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} |
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/* تنسيق العناوين */ |
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h1, h2, h3 { |
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color: #1E3D59; |
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font-family: 'Tajawal', sans-serif; |
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} |
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/* تنسيق المدخلات */ |
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.stTextInput>div>div>input { |
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border-radius: 10px; |
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border: 2px solid #E0E0E0; |
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padding: 10px; |
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} |
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/* تنسيق التوسيعات */ |
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.streamlit-expanderHeader { |
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background-color: white; |
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border-radius: 10px; |
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} |
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</style> |
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<link href="https://fonts.googleapis.com/css2?family=Tajawal:wght@400;700&display=swap" rel="stylesheet"> |
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""", unsafe_allow_html=True) |
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def load_lottieurl(url): |
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try: |
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r = requests.get(url) |
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if r.status_code == 200: |
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return r.json() |
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except Exception as e: |
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print(f"Error loading Lottie animation: {e}") |
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return { |
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"v": "5.5.7", |
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"fr": 60, |
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"ip": 0, |
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"op": 180, |
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"w": 512, |
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"h": 512, |
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"nm": "Loading Animation", |
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"ddd": 0, |
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"assets": [], |
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"layers": [{ |
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"ddd": 0, |
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"ind": 1, |
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"ty": 4, |
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"nm": "Circle", |
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"sr": 1, |
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"ks": { |
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"o": {"a": 0, "k": 100}, |
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"r": { |
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"a": 1, |
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"k": [{ |
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"i": {"x": [0.833], "y": [0.833]}, |
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"o": {"x": [0.167], "y": [0.167]}, |
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"t": 0, |
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"s": [0] |
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}, { |
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"t": 180, |
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"s": [360] |
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}] |
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}, |
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"p": {"a": 0, "k": [256, 256, 0]}, |
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"a": {"a": 0, "k": [0, 0, 0]}, |
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"s": {"a": 0, "k": [100, 100, 100]} |
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}, |
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"ao": 0, |
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"shapes": [{ |
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"ty": "gr", |
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"it": [{ |
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"ty": "rc", |
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"d": 1, |
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"s": {"a": 0, "k": [100, 100]}, |
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"p": {"a": 0, "k": [0, 0]}, |
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"r": {"a": 0, "k": 50} |
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}], |
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"nm": "Rectangle", |
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"np": 2, |
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"cix": 2, |
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"bm": 0, |
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"ix": 1, |
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"mn": "ADBE Vector Group", |
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"hd": false |
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}], |
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"ip": 0, |
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"op": 180, |
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"st": 0, |
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"bm": 0 |
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}] |
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} |
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lottie_analyzing = load_lottieurl("https://lottie.host/2c271015-5ef5-443c-9c4a-06ac803571fd/xEFNOVJ1lL.json") |
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lottie_success = load_lottieurl("https://lottie.host/cafd92b4-3389-441d-8b7c-ad0e178c870c/xYJdvN5QVb.json") |
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lottie_error = load_lottieurl("https://lottie.host/f93ea5d8-4452-4c7a-8965-4b3ccb28661c/H6l1LgXKrK.json") |
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def show_lottie_animation(lottie_data, height=200): |
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if lottie_data: |
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st_lottie(lottie_data, height=height) |
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else: |
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st.warning("Could not load animation") |
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class WebsiteAnalyzer: |
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def __init__(self): |
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self.headers = { |
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' |
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} |
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async def analyze_performance(self, url): |
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try: |
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start_time = time.time() |
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async with httpx.AsyncClient() as client: |
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response = await client.get(url) |
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load_time = time.time() - start_time |
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page_size = len(response.content) / 1024 |
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performance_metrics = { |
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"load_time": round(load_time, 2), |
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"page_size": round(page_size, 2), |
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"status_code": response.status_code, |
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"تقدير السرعة": self._estimate_speed(load_time), |
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"عدد الزيارات التقريبي": self._estimate_traffic(url), |
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"ترتيب الموقع على جوجل": self._estimate_google_rank(url), |
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"السعر التقريبي للموقع": self._estimate_website_value(url), |
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"تقييم الأداء": self._calculate_performance_score(load_time, page_size), |
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"توصيات تحسين الأداء": self._get_performance_recommendations(load_time, page_size) |
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} |
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return performance_metrics |
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except Exception as e: |
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return {"error": f"خطأ في تحليل الأداء: {str(e)}"} |
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def _calculate_performance_score(self, load_time, page_size): |
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score = 100 |
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if load_time > 2: |
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score -= (load_time - 2) * 10 |
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if page_size > 1000: |
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score -= (page_size - 1000) / 100 |
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return max(0, min(100, round(score))) |
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def _get_performance_recommendations(self, load_time, page_size): |
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recommendations = [] |
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if load_time > 2: |
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recommendations.append("تحسين سرعة تحميل الصفحة") |
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if page_size > 1000: |
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recommendations.append("تقليل حجم الصفحة") |
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return recommendations if recommendations else ["أداء الموقع جيد!"] |
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async def analyze_seo(self, url): |
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try: |
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async with httpx.AsyncClient() as client: |
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response = await client.get(url) |
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soup = BeautifulSoup(response.text, 'html.parser') |
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seo_analysis = { |
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"العنوان": self._analyze_title(soup), |
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"الوصف": self._analyze_description(soup), |
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"الكلمات المفتاحية": self._analyze_keywords(soup), |
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"هيكل العناوين": self._analyze_headings(soup), |
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"الروابط": self._analyze_links(soup), |
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"الصور": self._analyze_images(soup), |
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"تقييم SEO الإجمالي": self._calculate_seo_score(soup) |
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} |
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return seo_analysis |
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except Exception as e: |
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return {"error": f"خطأ في تحليل SEO: {str(e)}"} |
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def _analyze_title(self, soup): |
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title = soup.title.string if soup.title else "" |
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return { |
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"النص": title, |
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"الطول": len(title) if title else 0, |
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"التقييم": "ممتاز" if title and 30 <= len(title) <= 60 else "يحتاج تحسين", |
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"التوصيات": self._get_title_recommendations(title) |
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} |
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def _get_title_recommendations(self, title): |
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recommendations = [] |
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if not title: |
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recommendations.append("إضافة عنوان للصفحة") |
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elif len(title) < 30: |
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recommendations.append("زيادة طول العنوان") |
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elif len(title) > 60: |
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recommendations.append("تقليل طول العنوان") |
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return recommendations if recommendations else ["العنوان مثالي!"] |
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def analyze_security(self, url): |
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try: |
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domain = urlparse(url).netloc |
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security_analysis = { |
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"شهادة SSL": self._analyze_ssl(url), |
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"سجلات DNS": self._analyze_dns(domain), |
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"تقييم الحماية": self._calculate_security_score(url), |
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"توصيات الأمان": self._get_security_recommendations(url) |
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} |
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return security_analysis |
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except Exception as e: |
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return {"error": f"خطأ في تحليل الأمان: {str(e)}"} |
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def _analyze_ssl(self, url): |
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try: |
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context = ssl.create_default_context() |
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with socket.create_connection((urlparse(url).netloc, 443)) as sock: |
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with context.wrap_socket(sock, server_hostname=urlparse(url).netloc) as ssock: |
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cert = ssock.getpeercert() |
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return { |
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"الحالة": "آمن ✅", |
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"تاريخ الانتهاء": cert['notAfter'], |
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"مُصدر الشهادة": cert['issuer'][0][0][1] |
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} |
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except: |
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return {"الحالة": "غير آمن ❌", "توصية": "تثبيت شهادة SSL"} |
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def generate_reports(self, performance_data, seo_data, security_data): |
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fig = plt.figure(figsize=(15, 10)) |
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plt.subplot(2, 2, 1) |
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performance_scores = [ |
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performance_data.get('تقييم الأداء', 0), |
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seo_data.get('تقييم SEO الإجمالي', 0), |
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security_data.get('تقييم الحماية', 0) |
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] |
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plt.bar(['الأداء', 'SEO', 'الأمان'], performance_scores) |
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plt.title('تقييم شامل للموقع') |
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buf = io.BytesIO() |
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plt.savefig(buf, format='png') |
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buf.seek(0) |
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return Image.open(buf) |
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def main(): |
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st.title("🔍 محلل المواقع المتقدم") |
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with st.sidebar: |
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selected = option_menu( |
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menu_title="القائمة الرئيسية", |
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options=["تحليل جديد", "التقارير السابقة", "الإحصائيات", "الإعدادات"], |
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icons=["search", "file-text", "graph-up", "gear"], |
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menu_icon="cast", |
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styles={ |
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"container": {"padding": "15px"}, |
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"icon": {"color": "orange", "font-size": "25px"}, |
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"nav-link": {"font-size": "16px", "text-align": "right", "margin": "0px"} |
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} |
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) |
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if selected == "تحليل جديد": |
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col1, col2 = st.columns([2, 1]) |
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with col1: |
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url = st.text_input("🌐 أدخل رابط الموقع", "https://example.com") |
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analyze_button = st.button("⚡ بدء التحليل") |
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if analyze_button: |
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with st.spinner("جاري التحليل... ⏳"): |
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st_lottie(lottie_analyzing, height=200) |
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analyzer = WebsiteAnalyzer() |
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loop = asyncio.new_event_loop() |
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asyncio.set_event_loop(loop) |
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performance_data = loop.run_until_complete(analyzer.analyze_performance(url)) |
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seo_data = loop.run_until_complete(analyzer.analyze_seo(url)) |
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security_data = analyzer.analyze_security(url) |
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st.success("✨ تم اكتمال التحليل بنجاح!") |
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col1, col2, col3, col4 = st.columns(4) |
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with col1: |
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st.metric( |
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"⚡ سرعة التحميل", |
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f"{performance_data.get('load_time', 'N/A')}s", |
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delta="-0.2s" |
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) |
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with col2: |
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st.metric( |
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"👥 الزيارات الشهرية", |
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f"{performance_data.get('عدد الزيارات التقريبي', 'N/A'):,}", |
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delta="↑ 12%" |
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) |
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with col3: |
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st.metric( |
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"🎯 ترتيب جوجل", |
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f"#{performance_data.get('ترتيب الموقع على جوجل', 'N/A')}", |
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delta="↑ 5" |
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) |
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with col4: |
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st.metric( |
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"💰 القيمة التقديرية", |
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f"${performance_data.get('السعر التقريبي للموقع', 'N/A'):,}", |
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delta="↑ $1,000" |
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) |
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tabs = st.tabs(["📊 الأداء", "🎯 SEO", "🔒 الأمان", "📈 التقرير الشامل"]) |
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with tabs[0]: |
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st.subheader("تحليل الأداء التفصيلي") |
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performance_fig = go.Figure() |
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performance_fig.add_trace(go.Indicator( |
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mode = "gauge+number", |
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value = performance_data.get('تقييم الأداء', 0), |
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title = {'text': "تقييم الأداء العام"}, |
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gauge = { |
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'axis': {'range': [0, 100]}, |
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'steps': [ |
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{'range': [0, 50], 'color': "lightgray"}, |
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{'range': [50, 75], 'color': "gray"}, |
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{'range': [75, 100], 'color': "darkblue"} |
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], |
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'bar': {'color': "royalblue"} |
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} |
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)) |
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st.plotly_chart(performance_fig, use_container_width=True) |
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st.markdown(""" |
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<div class="metric-card"> |
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<h3>📊 تفاصيل الأداء</h3> |
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""", unsafe_allow_html=True) |
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perf_cols = st.columns(2) |
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with perf_cols[0]: |
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st.markdown(f""" |
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- ⚡ زمن التحميل: {performance_data.get('load_time')}s |
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- 📦 حجم الصفحة: {performance_data.get('page_size')} KB |
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- 🎯 تقدير السرعة: {performance_data.get('تقدير السرعة')} |
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""") |
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with perf_cols[1]: |
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st.markdown(f""" |
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- 👥 الزيارات الشهرية: {performance_data.get('عدد الزيارات التقريبي'):,} |
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- 🌐 حالة الموقع: {performance_data.get('status_code')} |
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- 💰 القيمة التقديرية: ${performance_data.get('السعر التقريبي للموقع'):,} |
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""") |
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with tabs[1]: |
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st.subheader("تحليل SEO") |
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seo_scores = { |
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'العنوان': seo_data.get('العنوان', {}).get('التقييم', 0), |
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'الوصف': seo_data.get('الوصف', {}).get('التقييم', 0), |
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'الكلمات المفتاحية': seo_data.get('الكلمات المفتاحية', {}).get('التقييم', 0), |
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'الروابط': seo_data.get('الروابط', {}).get('التقييم', 0), |
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'الصور': seo_data.get('الصور', {}).get('التقييم', 0) |
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} |
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seo_fig = go.Figure(data=go.Scatterpolar( |
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r=list(seo_scores.values()), |
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|
theta=list(seo_scores.keys()), |
|
|
fill='toself' |
|
|
)) |
|
|
|
|
|
seo_fig.update_layout( |
|
|
polar=dict( |
|
|
radialaxis=dict(visible=True, range=[0, 100]) |
|
|
), |
|
|
showlegend=False |
|
|
) |
|
|
|
|
|
st.plotly_chart(seo_fig, use_container_width=True) |
|
|
|
|
|
|
|
|
seo_cols = st.columns(3) |
|
|
|
|
|
with seo_cols[0]: |
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h4>🎯 تحليل العنوان</h4> |
|
|
""", unsafe_allow_html=True) |
|
|
st.write(seo_data.get('العنوان', {})) |
|
|
|
|
|
with seo_cols[1]: |
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h4>📝 تحليل الوصف</h4> |
|
|
""", unsafe_allow_html=True) |
|
|
st.write(seo_data.get('الوصف', {})) |
|
|
|
|
|
with seo_cols[2]: |
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h4>🔍 الكلمات المفتاحية</h4> |
|
|
""", unsafe_allow_html=True) |
|
|
st.write(seo_data.get('الكلمات المفتاحية', {})) |
|
|
|
|
|
with tabs[2]: |
|
|
st.subheader("تحليل الأمان") |
|
|
|
|
|
|
|
|
security_score = security_data.get('تقييم الحماية', 0) |
|
|
|
|
|
security_fig = go.Figure(go.Indicator( |
|
|
mode = "gauge+number+delta", |
|
|
value = security_score, |
|
|
delta = {'reference': 90}, |
|
|
title = {'text': "مستوى الأمان العام"}, |
|
|
gauge = { |
|
|
'axis': {'range': [0, 100]}, |
|
|
'steps': [ |
|
|
{'range': [0, 50], 'color': "red"}, |
|
|
{'range': [50, 75], 'color': "yellow"}, |
|
|
{'range': [75, 100], 'color': "green"} |
|
|
] |
|
|
} |
|
|
)) |
|
|
|
|
|
st.plotly_chart(security_fig, use_container_width=True) |
|
|
|
|
|
|
|
|
security_cols = st.columns(3) |
|
|
|
|
|
with security_cols[0]: |
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h4>🔒 شهادة SSL</h4> |
|
|
""", unsafe_allow_html=True) |
|
|
st.write(security_data.get('شهادة SSL', {})) |
|
|
|
|
|
with security_cols[1]: |
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h4>🌐 سجلات DNS</h4> |
|
|
""", unsafe_allow_html=True) |
|
|
st.write(security_data.get('سجلات DNS', {})) |
|
|
|
|
|
with security_cols[2]: |
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h4>⚡ توصيات الأمان</h4> |
|
|
""", unsafe_allow_html=True) |
|
|
st.write(security_data.get('توصيات الأمان', [])) |
|
|
|
|
|
with tabs[3]: |
|
|
st.subheader("التقرير الشامل") |
|
|
|
|
|
|
|
|
if st.button("📥 تحميل التقرير الشامل (PDF)"): |
|
|
report_data = { |
|
|
'url': url, |
|
|
'date': datetime.now().strftime("%Y-%m-%d %H:%M:%S"), |
|
|
'performance': performance_data, |
|
|
'seo': seo_data, |
|
|
'security': security_data |
|
|
} |
|
|
|
|
|
|
|
|
st.success("تم تحضير التقرير بنجاح! اضغط هنا للتحميل") |
|
|
|
|
|
|
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h3>📊 ملخص التحليل الشامل</h3> |
|
|
""", unsafe_allow_html=True) |
|
|
|
|
|
summary_cols = st.columns(3) |
|
|
|
|
|
with summary_cols[0]: |
|
|
st.markdown(""" |
|
|
#### 🚀 الأداء العام |
|
|
""") |
|
|
st.progress(performance_data.get('تقييم الأداء', 0) / 100) |
|
|
|
|
|
with summary_cols[1]: |
|
|
st.markdown(""" |
|
|
#### 🎯 تقييم SEO |
|
|
""") |
|
|
st.progress(seo_data.get('تقييم SEO الإجمالي', 0) / 100) |
|
|
|
|
|
with summary_cols[2]: |
|
|
st.markdown(""" |
|
|
#### 🔒 مستوى الأمان |
|
|
""") |
|
|
st.progress(security_data.get('تقييم الحماية', 0) / 100) |
|
|
|
|
|
|
|
|
st.markdown(""" |
|
|
### 📈 توصيات التحسين |
|
|
""") |
|
|
|
|
|
recommendations = st.expander("عرض التوصيات", expanded=True) |
|
|
with recommendations: |
|
|
rec_cols = st.columns(3) |
|
|
|
|
|
with rec_cols[0]: |
|
|
st.markdown("#### 🚀 تحسين الأداء") |
|
|
for rec in performance_data.get('توصيات تحسين الأداء', []): |
|
|
st.markdown(f"- {rec}") |
|
|
|
|
|
with rec_cols[1]: |
|
|
st.markdown("#### 🎯 تحسين SEO") |
|
|
for rec in seo_data.get('توصيات', []): |
|
|
st.markdown(f"- {rec}") |
|
|
|
|
|
with rec_cols[2]: |
|
|
st.markdown("#### 🔒 تحسين الأمان") |
|
|
for rec in security_data.get('توصيات الأمان', []): |
|
|
st.markdown(f"- {rec}") |
|
|
|
|
|
with col2: |
|
|
st.subheader("📊 آخر التحليلات") |
|
|
|
|
|
st.markdown(""" |
|
|
<div class="metric-card"> |
|
|
<h4>آخر 5 مواقع تم تحليلها</h4> |
|
|
</div> |
|
|
""", unsafe_allow_html=True) |
|
|
|
|
|
|
|
|
recent_analyses = [ |
|
|
{"url": "example1.com", "date": "2024-03-15", "score": 85}, |
|
|
{"url": "example2.com", "date": "2024-03-14", "score": 92}, |
|
|
{"url": "example3.com", "date": "2024-03-13", "score": 78} |
|
|
] |
|
|
|
|
|
for analysis in recent_analyses: |
|
|
st.markdown(f""" |
|
|
<div style='padding: 10px; margin: 5px; background-color: white; border-radius: 5px;'> |
|
|
🌐 {analysis['url']}<br> |
|
|
📅 {analysis['date']}<br> |
|
|
⭐ {analysis['score']}/100 |
|
|
</div> |
|
|
""", unsafe_allow_html=True) |
|
|
|
|
|
elif selected == "التقارير السابقة": |
|
|
st.subheader("📊 التقارير السابقة") |
|
|
|
|
|
|
|
|
elif selected == "الإحصائيات": |
|
|
st.subheader("📈 إحصائيات التحليل") |
|
|
|
|
|
|
|
|
elif selected == "الإعدادات": |
|
|
st.subheader("⚙️ إعدادات التحليل") |
|
|
|
|
|
|
|
|
if __name__ == "__main__": |
|
|
main() |
