266 lines
13 KiB
Python
266 lines
13 KiB
Python
"""Website setup component for the API key manager."""
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import streamlit as st
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from loguru import logger
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from ...website_analyzer import analyze_website
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from ...website_analyzer.seo_analyzer import analyze_seo
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import asyncio
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import sys
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from typing import Dict, Any
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from ..manager import APIKeyManager
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from .base import render_navigation_buttons
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# Configure logger to output to both file and stdout
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logger.remove() # Remove default handler
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logger.add(
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"logs/website_setup.log",
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rotation="500 MB",
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retention="10 days",
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level="DEBUG",
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format="{time:YYYY-MM-DD HH:mm:ss} | {level} | {message}"
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)
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logger.add(
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sys.stdout,
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level="INFO",
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format="<green>{time:YYYY-MM-DD HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{message}</cyan>"
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)
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def render_website_setup(api_key_manager: APIKeyManager) -> Dict[str, Any]:
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"""Render the website setup step.
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Args:
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api_key_manager (APIKeyManager): The API key manager instance
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Returns:
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Dict[str, Any]: Current state
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"""
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logger.info("[render_website_setup] Rendering website setup component")
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st.markdown("### Step 2: Website Setup")
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# Create two columns for input and results
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col1, col2 = st.columns([1, 1])
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with col1:
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st.markdown("#### Enter Website URL")
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url = st.text_input("Website URL", placeholder="https://example.com")
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logger.debug(f"[render_website_setup] URL input value: {url}")
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analyze_type = st.radio(
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"Analysis Type",
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["Basic Analysis", "Full Analysis with SEO"],
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help="Choose between basic website analysis or comprehensive SEO analysis"
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)
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if st.button("Analyze Website"):
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if url:
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with st.spinner("Analyzing website..."):
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try:
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logger.info(f"[render_website_setup] Starting website analysis for URL: {url}")
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# Call the analyze_website function
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results = analyze_website(url)
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# If full analysis is selected, add SEO analysis
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if analyze_type == "Full Analysis with SEO":
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seo_results = analyze_seo(url)
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if seo_results.success:
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results['data']['seo_analysis'] = {
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'overall_score': seo_results.overall_score,
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'meta_tags': {
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'title': seo_results.meta_tags.title,
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'description': seo_results.meta_tags.description,
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'keywords': seo_results.meta_tags.keywords,
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'has_robots': seo_results.meta_tags.has_robots,
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'has_sitemap': seo_results.meta_tags.has_sitemap
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},
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'content': {
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'word_count': seo_results.content.word_count,
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'readability_score': seo_results.content.readability_score,
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'content_quality_score': seo_results.content.content_quality_score,
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'headings_structure': seo_results.content.headings_structure,
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'keyword_density': seo_results.content.keyword_density
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},
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'recommendations': [
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{
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'priority': rec.priority,
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'category': rec.category,
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'issue': rec.issue,
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'recommendation': rec.recommendation,
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'impact': rec.impact
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}
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for rec in seo_results.recommendations
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]
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}
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logger.debug(f"[render_website_setup] Analysis results received: {results.get('success', False)}")
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# Store results in session state
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st.session_state.website_analysis = results
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logger.info("[render_website_setup] Results stored in session state")
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if not results.get('success', False):
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error_msg = results.get('error', 'Analysis failed')
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logger.error(f"[render_website_setup] Analysis failed: {error_msg}")
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st.error(error_msg)
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else:
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logger.info("[render_website_setup] Analysis completed successfully")
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st.success("✅ Website analysis completed successfully!")
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except Exception as e:
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error_msg = f"Analysis failed: {str(e)}"
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logger.error(f"[render_website_setup] {error_msg}")
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st.error(error_msg)
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else:
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logger.warning("[render_website_setup] No URL provided")
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st.warning("Please enter a valid URL")
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with col2:
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st.markdown("#### Analysis Results")
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# Check if we have analysis results
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if 'website_analysis' in st.session_state:
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results = st.session_state.website_analysis
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if results.get('success', False):
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data = results.get('data', {})
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analysis = data.get('analysis', {})
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# Create tabs for different sections
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if analyze_type == "Full Analysis with SEO":
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tab1, tab2, tab3, tab4, tab5 = st.tabs([
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"Basic Metrics",
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"Content Analysis",
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"SEO Analysis",
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"Technical SEO",
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"Strategy"
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])
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else:
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tab1, tab2, tab3, tab4 = st.tabs([
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"Basic Metrics",
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"Content Analysis",
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"Technical Info",
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"Strategy"
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])
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with tab1:
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st.markdown("##### Basic Metrics")
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basic_info = analysis.get('basic_info', {})
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st.write(f"Status Code: {basic_info.get('status_code')}")
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st.write(f"Content Type: {basic_info.get('content_type')}")
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st.write(f"Title: {basic_info.get('title')}")
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st.write(f"Meta Description: {basic_info.get('meta_description')}")
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# SSL Info
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ssl_info = analysis.get('ssl_info', {})
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if ssl_info.get('has_ssl'):
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st.success("SSL Certificate is valid")
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st.write(f"Expiry: {ssl_info.get('expiry')}")
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else:
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st.error("No valid SSL certificate found")
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with tab2:
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st.markdown("##### Content Analysis")
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content_info = analysis.get('content_info', {})
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# Content Overview
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st.markdown("###### 📊 Content Overview")
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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st.metric("Word Count", content_info.get('word_count', 0))
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with col2:
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st.metric("Headings", content_info.get('heading_count', 0))
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with col3:
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st.metric("Images", content_info.get('image_count', 0))
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with col4:
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st.metric("Links", content_info.get('link_count', 0))
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if analyze_type == "Full Analysis with SEO":
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with tab3:
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st.markdown("##### SEO Analysis")
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seo_data = data.get('seo_analysis', {})
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# Display SEO Score
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seo_score = seo_data.get('overall_score', 0)
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st.markdown(f"### SEO Score: {seo_score}/100")
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st.progress(seo_score / 100)
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# Meta Tags Analysis
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st.markdown("#### Meta Tags Analysis")
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meta_analysis = seo_data.get('meta_tags', {})
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for key, value in meta_analysis.items():
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if isinstance(value, bool):
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st.write(f"{'✅' if value else '❌'} {key.replace('_', ' ').title()}")
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elif isinstance(value, dict):
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st.write(f"**{key.replace('_', ' ').title()}:**")
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st.write(f"Status: {value.get('status', 'N/A')}")
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st.write(f"Value: {value.get('value', 'N/A')}")
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if value.get('recommendation'):
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st.write(f"Recommendation: {value['recommendation']}")
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else:
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st.write(f"**{key.replace('_', ' ').title()}:** {value}")
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# Content Analysis
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st.markdown("#### AI Content Analysis")
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content_analysis = seo_data.get('content', {})
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st.write(f"**Word Count:** {content_analysis.get('word_count', 0)}")
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st.write(f"**Readability Score:** {content_analysis.get('readability_score', 0)}/100")
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st.write(f"**Content Quality Score:** {content_analysis.get('content_quality_score', 0)}/100")
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# Recommendations
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st.markdown("#### SEO Recommendations")
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recommendations = seo_data.get('recommendations', [])
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for rec in recommendations:
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st.write(f"**{rec.get('priority', '').upper()} Priority - {rec.get('category', '')}**")
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st.write(f"Issue: {rec.get('issue', '')}")
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st.write(f"Recommendation: {rec.get('recommendation', '')}")
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st.write(f"Impact: {rec.get('impact', '')}")
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st.write("---")
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with tab4:
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st.markdown("##### Technical SEO")
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technical_seo = seo_data.get('technical_analysis', {})
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# Mobile Friendliness
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st.markdown("#### Mobile Friendliness")
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mobile_friendly = technical_seo.get('mobile_friendly', False)
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st.write(f"{'✅' if mobile_friendly else '❌'} Mobile Friendly")
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# Page Speed
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st.markdown("#### Page Speed")
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speed_metrics = technical_seo.get('speed_metrics', {})
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for metric, value in speed_metrics.items():
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st.write(f"**{metric.replace('_', ' ').title()}:** {value}")
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# Technical Issues
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st.markdown("#### Technical Issues")
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issues = technical_seo.get('issues', [])
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for issue in issues:
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st.write(f"• {issue}")
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with tab4 if analyze_type == "Basic Analysis" else tab5:
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st.markdown("##### Strategy Recommendations")
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strategy_info = analysis.get('strategy', {})
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if strategy_info:
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for category, recommendations in strategy_info.items():
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st.markdown(f"###### {category.replace('_', ' ').title()}")
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for rec in recommendations:
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st.write(f"• {rec}")
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else:
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st.info("No strategy recommendations available")
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else:
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error_msg = results.get('error', 'Analysis failed')
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logger.error(f"[render_website_setup] Displaying error: {error_msg}")
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st.error(error_msg)
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else:
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logger.debug("[render_website_setup] No analysis results in session state")
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st.info("Enter a URL and click 'Analyze Website' to see results")
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# Navigation buttons
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if render_navigation_buttons(2, 5, True):
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# Move to next step (AI Research Setup)
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st.session_state.current_step = 3
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st.session_state.next_step = "ai_research_setup"
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st.rerun()
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return {"current_step": 2, "changes_made": True} |