ALwrity Chatbot, SEO, Social media, Settings, Dashboard UI styling changes
This commit is contained in:
ajaysi
12
lib/chatbot_custom/ui/__init__.py
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12
lib/chatbot_custom/ui/__init__.py
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"""
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UI Components for Enhanced ALwrity Chatbot.
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This package contains modular UI components for the Streamlit interface:
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- sidebar: Intelligent sidebar with dashboard and quick tools
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"""
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from .sidebar import SidebarManager
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__all__ = [
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'SidebarManager'
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]
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396
lib/chatbot_custom/ui/sidebar.py
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396
lib/chatbot_custom/ui/sidebar.py
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"""
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Sidebar Manager for Enhanced ALwrity Chatbot.
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Manages the intelligent sidebar with dashboard, quick tools, and user analytics.
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"""
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import streamlit as st
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from typing import Dict, List, Any, Optional
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from datetime import datetime
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class SidebarManager:
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"""Manages the enhanced sidebar interface."""
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def __init__(self, context_manager, workflow_engine, tool_router):
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self.context_manager = context_manager
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self.workflow_engine = workflow_engine
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self.tool_router = tool_router
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def render_sidebar(self) -> Dict[str, Any]:
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"""Render the complete sidebar interface."""
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sidebar_data = {}
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with st.sidebar:
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# Header
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st.markdown("# 🚀 ALwrity Hub")
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st.markdown("---")
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# Dashboard section
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sidebar_data.update(self._render_dashboard())
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# Quick tools section
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sidebar_data.update(self._render_quick_tools())
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# Active workflows section
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sidebar_data.update(self._render_active_workflows())
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# User preferences section
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sidebar_data.update(self._render_user_preferences())
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# Analytics section
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sidebar_data.update(self._render_analytics())
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# Export/Import section
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sidebar_data.update(self._render_export_import())
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return sidebar_data
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def _render_dashboard(self) -> Dict[str, Any]:
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"""Render the dashboard section."""
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st.markdown("## 📊 Dashboard")
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# Get user analytics
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analytics = self.context_manager.get_user_analytics()
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# Key metrics in columns
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col1, col2 = st.columns(2)
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with col1:
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st.metric(
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label="Total Interactions",
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value=analytics.get("total_interactions", 0)
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)
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st.metric(
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label="Active Workflows",
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value=analytics.get("active_workflows_count", 0)
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)
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with col2:
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st.metric(
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label="Workflows Completed",
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value=analytics.get("workflows_completed", 0)
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)
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st.metric(
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label="Conversation Turns",
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value=analytics.get("conversation_turns", 0)
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)
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# Most used tools
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most_used_tools = analytics.get("most_used_tools", [])
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if most_used_tools:
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st.markdown("**🔧 Most Used Tools:**")
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for tool, count in most_used_tools[:3]:
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st.markdown(f"• {tool}: {count} times")
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st.markdown("---")
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return {"dashboard_rendered": True}
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def _render_quick_tools(self) -> Dict[str, Any]:
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"""Render the quick tools section."""
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st.markdown("## ⚡ Quick Tools")
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quick_actions = {}
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# Content creation tools
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st.markdown("**✍️ Content Creation**")
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col1, col2 = st.columns(2)
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with col1:
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if st.button("📝 Blog Writer", key="quick_blog"):
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quick_actions["action"] = "blog_writer"
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if st.button("📱 Social Post", key="quick_social"):
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quick_actions["action"] = "social_post"
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with col2:
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if st.button("📧 Email Writer", key="quick_email"):
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quick_actions["action"] = "email_writer"
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if st.button("📖 Story Writer", key="quick_story"):
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quick_actions["action"] = "story_writer"
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# SEO tools
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st.markdown("**🔍 SEO Tools**")
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col1, col2 = st.columns(2)
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with col1:
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if st.button("🔧 Technical SEO", key="quick_tech_seo"):
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quick_actions["action"] = "technical_seo"
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if st.button("📊 Content Gap", key="quick_content_gap"):
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quick_actions["action"] = "content_gap"
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with col2:
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if st.button("🎯 Keyword Research", key="quick_keywords"):
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quick_actions["action"] = "keyword_research"
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if st.button("🏆 Competitor Analysis", key="quick_competitor"):
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quick_actions["action"] = "competitor_analysis"
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# Analysis tools
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st.markdown("**📈 Analysis**")
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col1, col2 = st.columns(2)
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with col1:
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if st.button("🌐 Website Analyzer", key="quick_website"):
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quick_actions["action"] = "website_analyzer"
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if st.button("📋 On-Page SEO", key="quick_onpage"):
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quick_actions["action"] = "onpage_seo"
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with col2:
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if st.button("🔗 URL SEO Check", key="quick_url_seo"):
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quick_actions["action"] = "url_seo_check"
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if st.button("📱 Social Analyzer", key="quick_social_analyzer"):
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quick_actions["action"] = "social_analyzer"
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st.markdown("---")
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return {"quick_actions": quick_actions}
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def _render_active_workflows(self) -> Dict[str, Any]:
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"""Render the active workflows section."""
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st.markdown("## 🔄 Active Workflows")
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workflow_actions = {}
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active_workflows = self.context_manager.get_active_workflows()
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paused_workflows = self.context_manager.get_paused_workflows()
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if active_workflows:
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for workflow in active_workflows:
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with st.expander(f"🟢 {workflow.workflow_name}"):
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# Progress bar
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progress = workflow.current_step / workflow.total_steps
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st.progress(progress)
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st.markdown(f"Step {workflow.current_step}/{workflow.total_steps}")
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# Action buttons
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col1, col2 = st.columns(2)
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with col1:
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if st.button("⏸️ Pause", key=f"pause_{workflow.workflow_id}"):
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workflow_actions["pause"] = workflow.workflow_id
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with col2:
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if st.button("▶️ Continue", key=f"continue_{workflow.workflow_id}"):
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workflow_actions["continue"] = workflow.workflow_id
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if paused_workflows:
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st.markdown("**⏸️ Paused Workflows:**")
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for workflow in paused_workflows:
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col1, col2 = st.columns([3, 1])
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with col1:
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st.markdown(f"• {workflow.workflow_name}")
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with col2:
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if st.button("▶️", key=f"resume_{workflow.workflow_id}"):
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workflow_actions["resume"] = workflow.workflow_id
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# Start new workflow
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st.markdown("**🆕 Start New Workflow:**")
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available_workflows = list(self.workflow_engine.workflows.keys())
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selected_workflow = st.selectbox(
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"Choose workflow:",
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[""] + available_workflows,
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key="new_workflow_select"
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)
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if selected_workflow and st.button("🚀 Start Workflow", key="start_new_workflow"):
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workflow_actions["start"] = selected_workflow
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st.markdown("---")
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return {"workflow_actions": workflow_actions}
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def _render_user_preferences(self) -> Dict[str, Any]:
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"""Render the user preferences section."""
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st.markdown("## ⚙️ Preferences")
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preferences_updated = {}
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current_prefs = self.context_manager.user_preferences
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with st.expander("🎨 Content Preferences"):
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# Tone preference
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tone = st.selectbox(
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"Preferred Tone:",
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["professional", "casual", "friendly", "formal", "creative"],
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index=["professional", "casual", "friendly", "formal", "creative"].index(
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current_prefs.preferred_tone
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),
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key="pref_tone"
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)
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# Length preference
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length = st.selectbox(
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"Preferred Length:",
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["short", "medium", "long", "comprehensive"],
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index=["short", "medium", "long", "comprehensive"].index(
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current_prefs.preferred_length
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),
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key="pref_length"
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)
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# Industry focus
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industry_focus = st.multiselect(
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"Industry Focus:",
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["Technology", "Healthcare", "Finance", "Education", "Marketing",
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"E-commerce", "Travel", "Food", "Fashion", "Real Estate"],
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default=current_prefs.industry_focus,
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key="pref_industry"
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)
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# Content preferences
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content_prefs = st.multiselect(
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"Content Types:",
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["Blog Posts", "Social Media", "Email Marketing", "Technical Writing",
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"Creative Writing", "SEO Content", "Product Descriptions", "News Articles"],
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default=current_prefs.content_preferences,
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key="pref_content_types"
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)
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if st.button("💾 Save Preferences", key="save_preferences"):
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preferences_updated = {
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"preferred_tone": tone,
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"preferred_length": length,
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"industry_focus": industry_focus,
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"content_preferences": content_prefs
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}
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st.markdown("---")
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return {"preferences_updated": preferences_updated}
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def _render_analytics(self) -> Dict[str, Any]:
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"""Render the analytics section."""
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st.markdown("## 📈 Analytics")
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analytics = self.context_manager.get_user_analytics()
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with st.expander("📊 Usage Statistics"):
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# Recent activity pattern
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recent_activity = analytics.get("recent_activity_pattern", {})
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if recent_activity:
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st.markdown("**Recent Activity:**")
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for date, count in list(recent_activity.items())[-7:]: # Last 7 days
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st.markdown(f"• {date}: {count} interactions")
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# Tool usage breakdown
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most_used_tools = analytics.get("most_used_tools", [])
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if most_used_tools:
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st.markdown("**Tool Usage Breakdown:**")
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for tool, count in most_used_tools:
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percentage = (count / analytics.get("total_interactions", 1)) * 100
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st.markdown(f"• {tool}: {count} ({percentage:.1f}%)")
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# Context summary
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with st.expander("🧠 Context Summary"):
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context_summary = self.context_manager.get_context_summary()
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st.text(context_summary)
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st.markdown("---")
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return {"analytics_viewed": True}
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def _render_export_import(self) -> Dict[str, Any]:
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"""Render the export/import section."""
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st.markdown("## 💾 Data Management")
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export_actions = {}
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with st.expander("📤 Export Data"):
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export_format = st.selectbox(
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"Export Format:",
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["JSON", "TXT"],
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key="export_format"
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)
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if st.button("📥 Export Conversation History", key="export_history"):
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export_actions["export"] = {
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"type": "conversation_history",
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"format": export_format.lower()
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}
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if st.button("📊 Export Analytics", key="export_analytics"):
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export_actions["export"] = {
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"type": "analytics",
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"format": export_format.lower()
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}
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with st.expander("🗑️ Data Cleanup"):
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cleanup_days = st.number_input(
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"Keep data for (days):",
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min_value=1,
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max_value=365,
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value=30,
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key="cleanup_days"
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)
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if st.button("🧹 Cleanup Old Data", key="cleanup_data"):
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export_actions["cleanup"] = cleanup_days
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if st.button("⚠️ Reset All Data", key="reset_data"):
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if st.checkbox("I understand this will delete all data", key="confirm_reset"):
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export_actions["reset"] = True
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return {"export_actions": export_actions}
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def render_workflow_suggestions(self, intent_analysis: Dict[str, Any]) -> Optional[str]:
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"""Render workflow suggestions based on intent analysis."""
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suggested_workflows = intent_analysis.get("suggested_workflows", [])
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if suggested_workflows:
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st.sidebar.markdown("## 💡 Suggested Workflows")
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for workflow in suggested_workflows[:3]: # Show top 3 suggestions
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workflow_info = self.workflow_engine.get_workflow(workflow)
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if workflow_info:
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with st.sidebar.expander(f"🔄 {workflow_info['name']}"):
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st.markdown(f"**Description:** {workflow_info['description']}")
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st.markdown(f"**Steps:** {len(workflow_info['steps'])}")
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if st.button(f"Start {workflow_info['name']}",
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key=f"suggest_{workflow}"):
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return workflow
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return None
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def render_tool_suggestions(self, intent_analysis: Dict[str, Any]) -> Optional[str]:
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"""Render tool suggestions based on intent analysis."""
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suggested_tools = intent_analysis.get("suggested_tools", [])
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if suggested_tools:
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st.sidebar.markdown("## 🛠️ Suggested Tools")
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# Group tools by category
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tool_categories = self.tool_router.tool_categories
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categorized_tools = {}
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for tool in suggested_tools[:6]: # Show top 6 suggestions
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for category, tools in tool_categories.items():
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if tool in tools:
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if category not in categorized_tools:
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categorized_tools[category] = []
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categorized_tools[category].append(tool)
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break
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for category, tools in categorized_tools.items():
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st.sidebar.markdown(f"**{category.title()}:**")
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for tool in tools:
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if st.sidebar.button(f"🚀 {tool.replace('_', ' ').title()}",
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key=f"suggest_tool_{tool}"):
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return tool
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return None
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def show_notification(self, message: str, type: str = "info"):
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"""Show a notification in the sidebar."""
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if type == "success":
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st.sidebar.success(message)
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elif type == "error":
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st.sidebar.error(message)
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elif type == "warning":
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st.sidebar.warning(message)
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else:
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st.sidebar.info(message)
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def get_sidebar_state(self) -> Dict[str, Any]:
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"""Get current sidebar state for persistence."""
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return {
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"last_updated": datetime.now().isoformat(),
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"active_sections": st.session_state.get("sidebar_sections", []),
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"user_preferences": self.context_manager.user_preferences.__dict__
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}
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