import streamlit as st
from loguru import logger
from lib.ai_seo_tools.seo_structured_data import ai_structured_data
from lib.ai_seo_tools.content_title_generator import ai_title_generator
from lib.ai_seo_tools.meta_desc_generator import metadesc_generator_main
from lib.ai_seo_tools.image_alt_text_generator import alt_text_gen
from lib.ai_seo_tools.opengraph_generator import og_tag_generator
from lib.ai_seo_tools.optimize_images_for_upload import main_img_optimizer
from lib.ai_seo_tools.google_pagespeed_insights import google_pagespeed_insights
from lib.ai_seo_tools.on_page_seo_analyzer import analyze_onpage_seo
from lib.ai_seo_tools.weburl_seo_checker import url_seo_checker
from lib.ai_marketing_tools.ai_backlinker.backlinking_ui_streamlit import backlinking_ui
from lib.ai_seo_tools.content_gap_analysis.ui import ContentGapAnalysisUI
from lib.ai_seo_tools.content_calendar.ui.dashboard import ContentCalendarDashboard
from lib.alwrity_ui.dashboard_styles import apply_dashboard_style, render_dashboard_header, render_category_header, render_card
def render_content_gap_analysis():
"""Render the content gap analysis workflow interface."""
from lib.ai_seo_tools.content_gap_analysis.ui import ContentGapAnalysisUI
# Initialize and run the Content Gap Analysis UI
ui = ContentGapAnalysisUI()
ui.run()
def render_content_calendar():
"""Render the content calendar dashboard."""
import logging
import sys
from datetime import datetime
# Configure logging
logging.basicConfig(
level=logging.DEBUG,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.StreamHandler(sys.stdout),
logging.FileHandler('content_calendar.log', mode='a')
]
)
logger = logging.getLogger('content_calendar')
try:
logger.info("Initializing Content Calendar Dashboard")
dashboard = ContentCalendarDashboard()
logger.info("Rendering Content Calendar Dashboard")
dashboard.render()
logger.info("Content Calendar Dashboard rendered successfully")
except Exception as e:
logger.error(f"Error rendering content calendar: {str(e)}", exc_info=True)
st.error(f"An error occurred while loading the content calendar: {str(e)}")
def render_seo_tools_dashboard():
"""Render a modern dashboard for SEO tools with premium glassmorphic design."""
# Apply common dashboard styling
apply_dashboard_style()
# Enhanced dashboard header with modern design
render_dashboard_header(
"🚀 SEO AI Power Suite",
"Dominate search rankings with our comprehensive AI-powered SEO toolkit. From keyword research to content optimization, master every aspect of search engine optimization."
)
# Define SEO tools organized by category
seo_tools = {
"Research & Strategy": {
"Color Analysis": {
"icon": "🎨",
"description": "Analyze website color schemes for optimal user experience and SEO performance",
"category": "Analysis",
"path": "color_analysis",
"features": ["Color Psychology", "Accessibility Check", "Brand Analysis", "Conversion Optimization"]
},
"Keyword Research": {
"icon": "🔑",
"description": "Discover high-impact keywords with advanced AI-powered research and competition analysis",
"category": "Research",
"path": "keyword_research",
"features": ["Keyword Discovery", "Competition Analysis", "Search Volume", "Difficulty Scoring"]
},
"SEO Audit": {
"icon": "🔍",
"description": "Comprehensive website analysis with actionable insights for improving search rankings",
"category": "Analysis",
"path": "seo_audit",
"features": ["Technical SEO", "Content Analysis", "Performance Check", "Mobile Optimization"]
}
},
"Content Optimization": {
"Content Optimizer": {
"icon": "📝",
"description": "Transform your content with AI-driven SEO optimization for maximum search visibility",
"category": "Optimization",
"path": "content_optimizer",
"features": ["Content Analysis", "SEO Scoring", "Readability Check", "Meta Optimization"]
},
"Meta Generator": {
"icon": "🏷️",
"description": "Create compelling meta titles and descriptions that boost click-through rates",
"category": "Optimization",
"path": "meta_generator",
"features": ["Title Generation", "Description Writing", "Character Optimization", "SERP Preview"]
},
"Schema Markup": {
"icon": "🏗️",
"description": "Generate structured data markup to enhance search result appearance",
"category": "Technical",
"path": "schema_markup",
"features": ["Rich Snippets", "Local SEO", "Product Markup", "FAQ Schema"]
}
},
"Analysis & Tracking": {
"Rank Tracker": {
"icon": "📊",
"description": "Monitor keyword rankings and track your SEO progress with detailed analytics",
"category": "Analytics",
"path": "rank_tracker",
"features": ["Position Tracking", "Progress Analytics", "Competitor Monitoring", "Ranking Reports"]
},
"Backlink Analyzer": {
"icon": "🔗",
"description": "Analyze your backlink profile and discover new link building opportunities",
"category": "Analysis",
"path": "backlink_analyzer",
"features": ["Link Analysis", "Authority Metrics", "Anchor Text Analysis", "Toxic Link Detection"]
},
"Site Speed Test": {
"icon": "⚡",
"description": "Evaluate website performance and get optimization recommendations",
"category": "Performance",
"path": "speed_test",
"features": ["Speed Analysis", "Core Web Vitals", "Optimization Tips", "Mobile Performance"]
}
}
}
# Render categories and tools
for category, tools in seo_tools.items():
# Render category header
render_category_header(category)
# Create responsive grid for tools in this category
cols = st.columns(3)
for idx, (tool_name, details) in enumerate(tools.items()):
with cols[idx % 3]:
# Use the common card renderer
if render_card(
icon=details['icon'],
title=tool_name,
description=details['description'],
category=details['category'],
key_suffix=f"seo_{tool_name.replace(' ', '_')}",
help_text=f"Open {tool_name} - {details['description'][:50]}..."
):
# Set query parameters to redirect to the specific tool
st.query_params["tool"] = details["path"]
st.rerun()
# Add SEO insights section
st.markdown("""
""", unsafe_allow_html=True)
# SEO insights grid
insight_cols = st.columns(2)
insights = [
{
"title": "🤖 AI-Powered Analysis",
"description": "Advanced machine learning algorithms analyze your content and provide data-driven optimization recommendations."
},
{
"title": "📈 Real-Time Tracking",
"description": "Monitor your SEO performance with live ranking updates and comprehensive progress analytics."
},
{
"title": "🎯 Competitor Intelligence",
"description": "Stay ahead of the competition with detailed analysis of competitor strategies and opportunities."
},
{
"title": "🚀 Technical Excellence",
"description": "Comprehensive technical SEO analysis covering Core Web Vitals, mobile optimization, and site architecture."
}
]
for idx, insight in enumerate(insights):
with insight_cols[idx % 2]:
st.markdown(f"""
{insight['title']}
{insight['description']}
""", unsafe_allow_html=True)
# Close dashboard container
st.markdown('', unsafe_allow_html=True)
def ai_seo_tools():
"""Render the SEO tools dashboard with premium glassmorphic design."""
logger.info("Starting SEO Tools Dashboard")
# Apply common dashboard styling
apply_dashboard_style()
# Check if a specific tool is selected
selected_tool = st.query_params.get("tool")
if selected_tool:
# Map tool paths to their respective functions
tool_functions = {
# Individual tools
"structured_data": ai_structured_data,
"blog_title": ai_title_generator,
"meta_description": metadesc_generator_main,
"alt_text": alt_text_gen,
"opengraph": og_tag_generator,
"image_optimizer": main_img_optimizer,
"pagespeed": google_pagespeed_insights,
"onpage_seo": analyze_onpage_seo,
"url_checker": url_seo_checker,
"backlinking": backlinking_ui,
# Tool combinations
"content_optimization": lambda: run_tool_combination([
ai_title_generator,
metadesc_generator_main,
ai_structured_data
], "Content Optimization Suite"),
"technical_audit": lambda: run_tool_combination([
google_pagespeed_insights,
analyze_onpage_seo,
url_seo_checker
], "Technical SEO Audit"),
"image_optimization": lambda: run_tool_combination([
alt_text_gen,
main_img_optimizer
], "Image Optimization Suite"),
"social_optimization": lambda: run_tool_combination([
og_tag_generator,
backlinking_ui
], "Social Media Optimization"),
# Add Content Gap Analysis and Content Calendar
"content_gap_analysis": render_content_gap_analysis,
"content_calendar": render_content_calendar
}
if selected_tool in tool_functions:
# Clear any existing content
st.empty()
# Execute the selected tool's function
tool_functions[selected_tool]()
else:
st.error(f"Invalid tool selected: {selected_tool}")
render_seo_tools_dashboard()
else:
# Show the dashboard if no tool is selected
render_seo_tools_dashboard()
def run_tool_combination(tools, combination_name):
"""Run a combination of tools and provide cross-tool analysis."""
st.markdown(f"# {combination_name}")
st.markdown("Running comprehensive analysis...")
# Create tabs for each tool in the combination
tabs = st.tabs([f"Step {i+1}" for i in range(len(tools))])
# Run each tool in its own tab
for i, (tab, tool) in enumerate(zip(tabs, tools)):
with tab:
st.markdown(f"### Step {i+1}")
tool()
# Add cross-tool analysis section
st.markdown("## 📊 Cross-Tool Analysis")
st.markdown("Analyzing results across all tools...")
# Add recommendations based on combined results
st.markdown("## 💡 Recommendations")
st.markdown("Based on the combined analysis, here are the key recommendations:")
# Add a button to export the complete analysis
if st.button("📥 Export Complete Analysis", use_container_width=True):
st.info("Analysis export functionality coming soon!")