Fix duplicate video embed when youtube_url is empty string
- Add .trim() checks to all video source conditions - Prevents rendering empty youtube_url as valid video - Fixes double embed card display issue - Update sidebar icon check to use optional chaining with trim 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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dwindown
179
analyze_final.py
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179
analyze_final.py
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#!/usr/bin/env python3
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"""
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Analyze video transcript to identify topics and create chapter divisions.
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"""
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import json
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import re
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from datetime import timedelta
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def seconds_to_timestamp(seconds):
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"""Convert seconds to readable timestamp."""
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total_seconds = int(float(seconds))
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hours, remainder = divmod(total_seconds, 3600)
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minutes, seconds = divmod(remainder, 60)
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return f"{hours:02d}:{minutes:02d}:{seconds:02d}"
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def load_transcript(file_path):
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"""Load JSON transcript file."""
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with open(file_path, 'r', encoding='utf-8') as f:
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data = json.load(f)
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return data
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def extract_segments(data):
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"""Extract transcript segments with timestamps."""
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segments = []
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for track in data[0]['tracks']:
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if 'transcript' in track:
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for item in track['transcript']:
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start = float(item.get('start', 0))
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dur = float(item.get('dur', 0))
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text = item.get('text', '').strip()
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if text and text != '\n':
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segments.append({
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'start': start,
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'end': start + dur,
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'text': text
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})
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# Sort by start time
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segments.sort(key=lambda x: x['start'])
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return segments
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def extract_keywords(text):
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"""Extract key topics from text."""
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keywords = {
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'Market & Community': ['market', 'pasar', 'grup', 'komunitas', 'telegram', 'facebook', 'forum'],
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'Problem Finding': ['masalah', 'problem', 'kesulitan', 'permasalahan', 'error', 'bermasalah'],
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'Exploration': ['explor', 'coba', 'trial', 'nyoba', 'eksplor', 'explore'],
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'Personal Branding': ['branding', 'personal branding', 'show off', 'image', 'eksistensi'],
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'AIDA/Funnel': ['aida', 'awareness', 'interest', 'desire', 'action', 'funel', 'funnel'],
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'Trust': ['trust', 'percaya', 'kepercayaan'],
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'Clients': ['klien', 'client', 'pelanggan', 'customer'],
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'Pricing': ['harga', 'price', 'bayar', 'budget', 'rp', 'juta', 'ribu', 'dibayar'],
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'Negotiation': ['tawar', 'negosiasi', 'deal'],
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'Services': ['jasa', 'service', 'website', 'plugin', 'elementor', 'instal'],
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'Cold/Warm/Hot Market': ['cold market', 'warm market', 'hot market', 'dingin', 'hangat'],
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'Network': ['network', 'jaringan', 'koneksi', 'hubungan'],
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'Sharing': ['sharing', 'share', 'bagi'],
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'Products': ['produk', 'product', 'template'],
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'Japri': ['japri', 'private', 'chat pribadi'],
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}
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found = []
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text_lower = text.lower()
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for topic, kw_list in keywords.items():
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count = sum(1 for kw in kw_list if kw.lower() in text_lower)
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if count > 0:
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found.append((topic, count))
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return sorted(found, key=lambda x: x[1], reverse=True)
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def analyze_video():
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"""Analyze the video transcript."""
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file_path = "/Users/dwindown/CascadeProjects/MeetDwindiCom/access-hub/Live Zoom - Diskusi Cara Jual Jasa via Online.json"
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print("="*80)
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print("VIDEO TRANSCRIPT ANALYSIS")
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print("Cara Jual Jasa via Online (How to Sell Services Online)")
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print("="*80)
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print()
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data = load_transcript(file_path)
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segments = extract_segments(data)
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print(f"Total segments: {len(segments)}")
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if not segments:
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print("No segments found!")
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return
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total_duration = segments[-1]['end']
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print(f"Total duration: {seconds_to_timestamp(total_duration)} ({total_duration/60:.1f} minutes)\n")
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# Create time-based groups every 5 minutes
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print("="*80)
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print("CONTENT BREAKDOWN BY 5-MINUTE INTERVALS")
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print("="*80)
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print()
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window = 300 # 5 minutes
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current_time = 0
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section_num = 1
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while current_time < total_duration:
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window_end = min(current_time + window, total_duration)
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window_segments = [s for s in segments
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if current_time <= s['start'] < window_end]
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if window_segments:
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# Combine text
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combined_text = ' '.join([s['text'] for s in window_segments])
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# Extract keywords
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keywords = extract_keywords(combined_text)
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print(f"Section {section_num}: {seconds_to_timestamp(current_time)} - {seconds_to_timestamp(window_end)}")
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print("-" * 80)
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# Show first 400 characters as preview
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preview = combined_text[:400]
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print(f"Content: {preview}...")
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print()
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if keywords:
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print("Key topics detected:")
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for topic, count in keywords[:7]:
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print(f" • {topic}: {count} mentions")
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else:
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print("Key topics: (transition/break section)")
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print()
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print()
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section_num += 1
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current_time = window_end
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# Now create suggested chapters based on content analysis
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print("\n")
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print("="*80)
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print("SUGGESTED CHAPTER STRUCTURE")
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print("="*80)
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print()
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# Create larger 15-minute groups for chapter suggestions
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chapter_window = 900 # 15 minutes
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current_time = 0
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chapter_num = 1
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while current_time < total_duration:
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chapter_end = min(current_time + chapter_window, total_duration)
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chapter_segments = [s for s in segments
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if current_time <= s['start'] < chapter_end]
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if chapter_segments:
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combined_text = ' '.join([s['text'] for s in chapter_segments])
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keywords = extract_keywords(combined_text)
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# Get top 3 keywords for chapter title
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main_topics = [kw[0] for kw in keywords[:3]]
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print(f"Chapter {chapter_num}: {seconds_to_timestamp(current_time)} - {seconds_to_timestamp(chapter_end)}")
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print(f"Main topics: {', '.join(main_topics)}")
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# Show first 300 chars
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preview = combined_text[:300].replace('\n', ' ')
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print(f"Preview: {preview}...")
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print()
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print()
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chapter_num += 1
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current_time = chapter_end
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if __name__ == "__main__":
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analyze_video()
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