3c58fd555b
New tools added to ToBeMigrated/ directory: ai_marketing_tools/: - ai_backlinker: AI-powered backlink generation - ai_google_ads_generator: Google Ads generation with templates ai_writers/: - ai_blog_faqs_writer: FAQ generation for blogs - ai_copywriter: Multiple copywriter frameworks (AIDA, PAS, 4C, 4R, etc.) - ai_finance_report_generator: Financial report generation - ai_story_illustrator: Story illustration - ai_story_video_generator: Story video generation - ai_story_writer: AI story writing - github_blogs: GitHub blog integration - speech_to_blog: Audio to blog conversion - twitter_writers: Twitter/X content generation - youtube_writers: YouTube content generation These tools are in ToBeMigrated/ for future migration to the main backend.
729 lines
22 KiB
Python
729 lines
22 KiB
Python
"""
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Enhanced Twitter Dashboard with modern UI components and improved user experience.
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"""
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import streamlit as st
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from typing import Dict, List, Optional, Any
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import json
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from datetime import datetime, timedelta
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import plotly.express as px
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import plotly.graph_objects as go
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from plotly.subplots import make_subplots
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import pandas as pd
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import numpy as np
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from .tweet_generator import smart_tweet_generator
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from .twitter_streamlit_ui import (
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TwitterDashboard,
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FeatureCard,
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TweetCard,
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TweetForm,
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SettingsForm,
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Sidebar,
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Header,
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Tabs,
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Breadcrumbs,
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Theme,
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save_to_session,
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get_from_session,
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clear_session,
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show_success_message,
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show_error_message,
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show_info_message,
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show_warning_message
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)
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def apply_modern_styling():
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"""Apply modern CSS styling to the dashboard."""
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st.markdown("""
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<style>
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/* Import Google Fonts */
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
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/* Global Styles */
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.stApp {
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font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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min-height: 100vh;
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}
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/* Main Container */
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.main-container {
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background: rgba(255, 255, 255, 0.95);
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backdrop-filter: blur(20px);
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border-radius: 20px;
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padding: 2rem;
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margin: 1rem;
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box-shadow: 0 20px 40px rgba(0, 0, 0, 0.1);
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}
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/* Header Styles */
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.dashboard-header {
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text-align: center;
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margin-bottom: 2rem;
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padding: 2rem 0;
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background: linear-gradient(135deg, #1DA1F2, #0C85D0);
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border-radius: 16px;
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color: white;
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box-shadow: 0 10px 30px rgba(29, 161, 242, 0.3);
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}
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.dashboard-title {
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font-size: 2.5rem;
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font-weight: 700;
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margin: 0;
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text-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
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}
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.dashboard-subtitle {
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font-size: 1.1rem;
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opacity: 0.9;
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margin-top: 0.5rem;
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font-weight: 400;
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}
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/* Feature Cards */
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.feature-card {
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background: white;
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border-radius: 16px;
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padding: 1.5rem;
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margin-bottom: 1rem;
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box-shadow: 0 8px 25px rgba(0, 0, 0, 0.08);
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border: 1px solid rgba(0, 0, 0, 0.05);
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transition: all 0.3s ease;
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cursor: pointer;
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}
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.feature-card:hover {
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transform: translateY(-5px);
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box-shadow: 0 15px 35px rgba(0, 0, 0, 0.15);
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}
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.feature-icon {
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font-size: 2.5rem;
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margin-bottom: 1rem;
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display: block;
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}
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.feature-title {
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font-size: 1.25rem;
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font-weight: 600;
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color: #2D3748;
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margin-bottom: 0.5rem;
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}
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.feature-description {
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color: #718096;
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font-size: 0.95rem;
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line-height: 1.5;
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margin-bottom: 1rem;
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}
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.feature-status {
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display: inline-block;
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padding: 0.25rem 0.75rem;
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border-radius: 20px;
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font-size: 0.8rem;
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font-weight: 500;
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text-transform: uppercase;
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letter-spacing: 0.5px;
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}
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.status-active {
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background: linear-gradient(135deg, #48BB78, #38A169);
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color: white;
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}
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.status-coming-soon {
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background: linear-gradient(135deg, #ED8936, #DD6B20);
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color: white;
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}
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/* Metrics Cards */
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.metric-card {
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background: white;
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border-radius: 12px;
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padding: 1.5rem;
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text-align: center;
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box-shadow: 0 4px 15px rgba(0, 0, 0, 0.08);
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border-left: 4px solid #1DA1F2;
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}
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.metric-value {
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font-size: 2rem;
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font-weight: 700;
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color: #2D3748;
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margin-bottom: 0.5rem;
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}
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.metric-label {
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color: #718096;
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font-size: 0.9rem;
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font-weight: 500;
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}
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/* Buttons */
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.stButton > button {
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background: linear-gradient(135deg, #1DA1F2, #0C85D0);
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color: white;
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border: none;
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border-radius: 10px;
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padding: 0.75rem 1.5rem;
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font-weight: 600;
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font-size: 0.95rem;
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transition: all 0.3s ease;
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box-shadow: 0 4px 15px rgba(29, 161, 242, 0.3);
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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 8px 25px rgba(29, 161, 242, 0.4);
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}
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/* Tabs */
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.stTabs [data-baseweb="tab-list"] {
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gap: 0.5rem;
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background: rgba(255, 255, 255, 0.1);
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padding: 0.5rem;
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border-radius: 12px;
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backdrop-filter: blur(10px);
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}
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.stTabs [data-baseweb="tab"] {
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background: transparent;
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border-radius: 8px;
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color: #4A5568;
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font-weight: 500;
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padding: 0.75rem 1.5rem;
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transition: all 0.3s ease;
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}
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.stTabs [aria-selected="true"] {
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background: white;
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color: #1DA1F2;
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box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
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}
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/* Connection Status */
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.connection-status {
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display: flex;
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align-items: center;
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gap: 0.5rem;
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padding: 1rem;
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border-radius: 12px;
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margin-bottom: 1.5rem;
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font-weight: 500;
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}
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.status-connected {
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background: linear-gradient(135deg, #C6F6D5, #9AE6B4);
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color: #22543D;
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border: 1px solid #9AE6B4;
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}
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.status-disconnected {
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background: linear-gradient(135deg, #FED7D7, #FEB2B2);
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color: #742A2A;
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border: 1px solid #FEB2B2;
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}
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/* Quick Actions */
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.quick-actions {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 1rem;
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margin: 2rem 0;
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}
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.quick-action-btn {
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background: white;
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border: 2px solid #E2E8F0;
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border-radius: 12px;
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padding: 1.5rem;
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text-align: center;
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transition: all 0.3s ease;
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cursor: pointer;
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text-decoration: none;
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}
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.quick-action-btn:hover {
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border-color: #1DA1F2;
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transform: translateY(-2px);
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box-shadow: 0 8px 25px rgba(29, 161, 242, 0.15);
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}
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.quick-action-icon {
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font-size: 2rem;
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margin-bottom: 0.5rem;
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display: block;
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}
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.quick-action-title {
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font-weight: 600;
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color: #2D3748;
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margin-bottom: 0.25rem;
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}
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.quick-action-desc {
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font-size: 0.85rem;
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color: #718096;
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}
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/* Analytics Charts */
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.chart-container {
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background: white;
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border-radius: 16px;
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padding: 1.5rem;
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margin: 1rem 0;
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box-shadow: 0 4px 15px rgba(0, 0, 0, 0.08);
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}
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/* Responsive Design */
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@media (max-width: 768px) {
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.main-container {
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margin: 0.5rem;
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padding: 1rem;
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}
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.dashboard-title {
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font-size: 2rem;
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}
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.quick-actions {
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grid-template-columns: 1fr;
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}
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}
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</style>
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""", unsafe_allow_html=True)
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def render_connection_status():
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"""Render Twitter connection status with modern styling."""
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# Simulate connection status (replace with real authentication check)
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is_connected = get_from_session("twitter_connected", False)
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if is_connected:
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user_info = get_from_session("twitter_user", {"name": "Demo User", "handle": "@demo_user"})
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st.markdown(f"""
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<div class="connection-status status-connected">
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<span style="font-size: 1.2rem;">✅</span>
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<div>
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<strong>Connected as {user_info['name']}</strong>
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<div style="font-size: 0.9rem; opacity: 0.8;">{user_info['handle']}</div>
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</div>
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</div>
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""", unsafe_allow_html=True)
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else:
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st.markdown("""
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<div class="connection-status status-disconnected">
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<span style="font-size: 1.2rem;">⚠️</span>
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<div>
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<strong>Twitter Not Connected</strong>
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<div style="font-size: 0.9rem; opacity: 0.8;">Connect your account to access all features</div>
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</div>
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</div>
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""", unsafe_allow_html=True)
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if st.button("🔗 Connect Twitter Account", key="connect_twitter"):
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# Simulate connection (replace with real OAuth flow)
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save_to_session("twitter_connected", True)
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save_to_session("twitter_user", {"name": "Demo User", "handle": "@demo_user"})
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st.rerun()
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def render_dashboard_header():
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"""Render the modern dashboard header."""
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st.markdown("""
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<div class="dashboard-header">
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<h1 class="dashboard-title">🐦 Twitter AI Dashboard</h1>
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<p class="dashboard-subtitle">Create, analyze, and optimize your Twitter content with AI-powered tools</p>
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</div>
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""", unsafe_allow_html=True)
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def render_quick_actions():
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"""Render quick action buttons."""
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st.markdown("### 🚀 Quick Actions")
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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if st.button("✍️ Create Tweet", use_container_width=True, key="quick_tweet"):
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st.session_state.current_page = "tweet_generator"
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st.rerun()
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with col2:
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if st.button("📊 View Analytics", use_container_width=True, key="quick_analytics"):
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st.session_state.current_page = "analytics"
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st.rerun()
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with col3:
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if st.button("📅 Content Calendar", use_container_width=True, key="quick_calendar"):
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show_info_message("Content Calendar feature coming soon!")
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with col4:
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if st.button("⚙️ Settings", use_container_width=True, key="quick_settings"):
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st.session_state.current_page = "settings"
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st.rerun()
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def render_metrics_overview():
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"""Render key metrics overview."""
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st.markdown("### 📈 Performance Overview")
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# Generate sample metrics (replace with real data)
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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st.markdown("""
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<div class="metric-card">
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<div class="metric-value">1,234</div>
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<div class="metric-label">Total Tweets</div>
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</div>
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""", unsafe_allow_html=True)
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with col2:
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st.markdown("""
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<div class="metric-card">
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<div class="metric-value">45.2K</div>
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<div class="metric-label">Total Engagement</div>
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</div>
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""", unsafe_allow_html=True)
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with col3:
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st.markdown("""
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<div class="metric-card">
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<div class="metric-value">3.8%</div>
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<div class="metric-label">Engagement Rate</div>
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</div>
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""", unsafe_allow_html=True)
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with col4:
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st.markdown("""
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<div class="metric-card">
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<div class="metric-value">12.5K</div>
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<div class="metric-label">Followers</div>
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</div>
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""", unsafe_allow_html=True)
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def render_engagement_chart():
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"""Render engagement trends chart."""
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st.markdown("### 📊 Engagement Trends")
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# Generate sample data (replace with real Twitter data)
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dates = pd.date_range(start=datetime.now() - timedelta(days=30), periods=30)
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engagement = np.random.normal(100, 20, 30)
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engagement = np.maximum(engagement, 0) # Ensure positive values
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df = pd.DataFrame({
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'Date': dates,
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'Engagement': engagement,
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'Likes': engagement * 0.6,
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'Retweets': engagement * 0.3,
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'Replies': engagement * 0.1
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})
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# Create interactive chart
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fig = make_subplots(
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rows=2, cols=1,
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subplot_titles=('Total Engagement', 'Engagement Breakdown'),
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vertical_spacing=0.1,
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row_heights=[0.7, 0.3]
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)
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# Main engagement line
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fig.add_trace(
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go.Scatter(
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x=df['Date'],
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y=df['Engagement'],
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mode='lines+markers',
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name='Total Engagement',
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line=dict(color='#1DA1F2', width=3),
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marker=dict(size=6)
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),
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row=1, col=1
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)
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# Stacked area chart for breakdown
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fig.add_trace(
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go.Scatter(
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x=df['Date'],
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y=df['Likes'],
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mode='lines',
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name='Likes',
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fill='tonexty',
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line=dict(color='#E53E3E')
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),
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row=2, col=1
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)
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fig.add_trace(
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go.Scatter(
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x=df['Date'],
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y=df['Retweets'],
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mode='lines',
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name='Retweets',
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fill='tonexty',
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line=dict(color='#38A169')
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),
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row=2, col=1
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)
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fig.add_trace(
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go.Scatter(
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x=df['Date'],
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y=df['Replies'],
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mode='lines',
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name='Replies',
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fill='tonexty',
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line=dict(color='#D69E2E')
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),
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row=2, col=1
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)
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fig.update_layout(
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height=500,
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showlegend=True,
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hovermode='x unified',
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plot_bgcolor='rgba(0,0,0,0)',
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paper_bgcolor='rgba(0,0,0,0)'
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)
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fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='rgba(0,0,0,0.1)')
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fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='rgba(0,0,0,0.1)')
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st.plotly_chart(fig, use_container_width=True)
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def render_feature_grid():
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"""Render the feature grid with modern cards."""
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st.markdown("### 🛠️ Available Tools")
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features = [
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{
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"title": "Smart Tweet Generator",
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"description": "Create engaging tweets with AI assistance, hashtag suggestions, and emoji optimization",
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"icon": "✨",
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"status": "active",
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"action": "tweet_generator"
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},
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{
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"title": "Performance Predictor",
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"description": "Predict tweet engagement and find optimal posting times",
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"icon": "🔮",
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"status": "coming_soon",
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"action": None
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},
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{
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"title": "Content Calendar",
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"description": "Plan and schedule your Twitter content strategy",
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"icon": "📅",
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"status": "coming_soon",
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"action": None
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},
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{
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"title": "Hashtag Research",
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"description": "Discover trending hashtags and analyze their performance",
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"icon": "#️⃣",
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"status": "coming_soon",
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"action": None
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},
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{
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"title": "Visual Content",
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"description": "Create quote cards, infographics, and visual tweets",
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"icon": "🎨",
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"status": "coming_soon",
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"action": None
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},
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{
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"title": "Analytics Dashboard",
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"description": "Deep dive into your Twitter performance metrics",
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"icon": "📊",
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"status": "coming_soon",
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"action": None
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}
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]
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# Create grid layout
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|
cols = st.columns(3)
|
|
|
|
for i, feature in enumerate(features):
|
|
with cols[i % 3]:
|
|
status_class = "status-active" if feature["status"] == "active" else "status-coming-soon"
|
|
|
|
card_html = f"""
|
|
<div class="feature-card" onclick="handleFeatureClick('{feature['action']}')">
|
|
<span class="feature-icon">{feature['icon']}</span>
|
|
<h3 class="feature-title">{feature['title']}</h3>
|
|
<p class="feature-description">{feature['description']}</p>
|
|
<span class="feature-status {status_class}">{feature['status'].replace('_', ' ')}</span>
|
|
</div>
|
|
"""
|
|
|
|
st.markdown(card_html, unsafe_allow_html=True)
|
|
|
|
# Add button for active features
|
|
if feature["status"] == "active" and feature["action"]:
|
|
if st.button(f"Launch {feature['title']}", key=f"launch_{i}", use_container_width=True):
|
|
st.session_state.current_page = feature["action"]
|
|
st.rerun()
|
|
|
|
def render_recent_activity():
|
|
"""Render recent activity feed."""
|
|
st.markdown("### 📱 Recent Activity")
|
|
|
|
# Sample activity data (replace with real data)
|
|
activities = [
|
|
{"time": "2 hours ago", "action": "Generated tweet", "details": "AI-powered content about social media trends"},
|
|
{"time": "5 hours ago", "action": "Analyzed performance", "details": "Tweet received 45 likes and 12 retweets"},
|
|
{"time": "1 day ago", "action": "Scheduled tweet", "details": "Content scheduled for optimal posting time"},
|
|
{"time": "2 days ago", "action": "Updated hashtags", "details": "Added trending hashtags to improve reach"}
|
|
]
|
|
|
|
for activity in activities:
|
|
st.markdown(f"""
|
|
<div style="
|
|
background: white;
|
|
border-radius: 8px;
|
|
padding: 1rem;
|
|
margin-bottom: 0.5rem;
|
|
border-left: 3px solid #1DA1F2;
|
|
box-shadow: 0 2px 8px rgba(0,0,0,0.05);
|
|
">
|
|
<div style="font-weight: 600; color: #2D3748; margin-bottom: 0.25rem;">
|
|
{activity['action']}
|
|
</div>
|
|
<div style="color: #718096; font-size: 0.9rem; margin-bottom: 0.25rem;">
|
|
{activity['details']}
|
|
</div>
|
|
<div style="color: #A0AEC0; font-size: 0.8rem;">
|
|
{activity['time']}
|
|
</div>
|
|
</div>
|
|
""", unsafe_allow_html=True)
|
|
|
|
def run_dashboard():
|
|
"""Main function to run the enhanced Twitter dashboard."""
|
|
# Apply modern styling
|
|
apply_modern_styling()
|
|
|
|
# Initialize session state
|
|
if "current_page" not in st.session_state:
|
|
st.session_state.current_page = "dashboard"
|
|
|
|
# Handle page navigation
|
|
if st.session_state.current_page == "tweet_generator":
|
|
if st.button("← Back to Dashboard", key="back_to_dashboard"):
|
|
st.session_state.current_page = "dashboard"
|
|
st.rerun()
|
|
smart_tweet_generator()
|
|
return
|
|
|
|
# Main dashboard container
|
|
st.markdown('<div class="main-container">', unsafe_allow_html=True)
|
|
|
|
# Render dashboard header
|
|
render_dashboard_header()
|
|
|
|
# Render connection status
|
|
render_connection_status()
|
|
|
|
# Create main layout
|
|
tab1, tab2, tab3 = st.tabs(["🏠 Overview", "📊 Analytics", "⚙️ Settings"])
|
|
|
|
with tab1:
|
|
# Quick actions
|
|
render_quick_actions()
|
|
|
|
# Metrics overview
|
|
render_metrics_overview()
|
|
|
|
# Feature grid
|
|
render_feature_grid()
|
|
|
|
# Recent activity
|
|
col1, col2 = st.columns([2, 1])
|
|
with col1:
|
|
render_engagement_chart()
|
|
with col2:
|
|
render_recent_activity()
|
|
|
|
with tab2:
|
|
st.markdown("### 📈 Advanced Analytics")
|
|
|
|
# Time range selector
|
|
col1, col2 = st.columns([1, 3])
|
|
with col1:
|
|
time_range = st.selectbox(
|
|
"Time Range",
|
|
["Last 7 days", "Last 30 days", "Last 90 days", "Last year"],
|
|
index=1
|
|
)
|
|
|
|
# Detailed analytics
|
|
render_engagement_chart()
|
|
|
|
# Performance insights
|
|
st.markdown("### 💡 Performance Insights")
|
|
|
|
insights = [
|
|
"Your tweets perform 23% better when posted between 2-4 PM",
|
|
"Tweets with 2-3 hashtags get 15% more engagement",
|
|
"Visual content increases engagement by 35%",
|
|
"Questions in tweets boost replies by 28%"
|
|
]
|
|
|
|
for insight in insights:
|
|
st.info(f"💡 {insight}")
|
|
|
|
with tab3:
|
|
st.markdown("### ⚙️ Dashboard Settings")
|
|
|
|
# Twitter API settings
|
|
with st.expander("🔑 Twitter API Configuration", expanded=False):
|
|
st.markdown("Configure your Twitter API credentials to enable full functionality.")
|
|
|
|
api_key = st.text_input("API Key", type="password", help="Your Twitter API key")
|
|
api_secret = st.text_input("API Secret", type="password", help="Your Twitter API secret")
|
|
access_token = st.text_input("Access Token", type="password", help="Your Twitter access token")
|
|
access_token_secret = st.text_input("Access Token Secret", type="password", help="Your Twitter access token secret")
|
|
|
|
if st.button("Save API Configuration"):
|
|
# Save configuration (implement secure storage)
|
|
show_success_message("API configuration saved successfully!")
|
|
|
|
# Dashboard preferences
|
|
with st.expander("🎨 Dashboard Preferences", expanded=True):
|
|
theme = st.selectbox("Theme", ["Light", "Dark", "Auto"], index=0)
|
|
default_tone = st.selectbox("Default Tweet Tone", ["Professional", "Casual", "Humorous", "Inspirational"], index=1)
|
|
auto_hashtags = st.checkbox("Auto-suggest hashtags", value=True)
|
|
|
|
if st.button("Save Preferences"):
|
|
show_success_message("Preferences saved successfully!")
|
|
|
|
# Account management
|
|
with st.expander("👤 Account Management", expanded=False):
|
|
st.markdown("Manage your connected Twitter accounts and permissions.")
|
|
|
|
if get_from_session("twitter_connected", False):
|
|
st.success("✅ Twitter account connected")
|
|
if st.button("Disconnect Account"):
|
|
save_to_session("twitter_connected", False)
|
|
st.rerun()
|
|
else:
|
|
st.warning("⚠️ No Twitter account connected")
|
|
if st.button("Connect Account"):
|
|
save_to_session("twitter_connected", True)
|
|
st.rerun()
|
|
|
|
st.markdown('</div>', unsafe_allow_html=True)
|
|
|
|
# JavaScript for handling feature clicks
|
|
st.markdown("""
|
|
<script>
|
|
function handleFeatureClick(action) {
|
|
if (action && action !== 'null') {
|
|
// This would trigger a Streamlit rerun with the selected action
|
|
console.log('Feature clicked:', action);
|
|
}
|
|
}
|
|
</script>
|
|
""", unsafe_allow_html=True)
|
|
|
|
if __name__ == "__main__":
|
|
run_dashboard() |