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
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analyze_transcript.py
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167
analyze_transcript.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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td = timedelta(seconds=float(seconds))
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hours, remainder = divmod(td.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_text_with_timestamps(data):
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"""Extract text segments with timestamps."""
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segments = []
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for entry in data:
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if 'events' in entry:
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for event in entry['events']:
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if 'segs' in event:
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for seg in event['segs']:
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if 'utf8' in seg:
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segments.append({
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'start': float(event.get('tStartMs', 0)) / 1000,
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'text': seg['utf8']
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})
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return segments
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def clean_text(text):
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"""Clean transcript text."""
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# Remove extra whitespace
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text = ' '.join(text.split())
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return text
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def identify_keywords(text):
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"""Identify important keywords in Indonesian business context."""
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keywords = {
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'market': ['market', 'pasar', 'grup', 'komunitas', 'community'],
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'problem': ['masalah', 'problem', 'kesulitan', 'error', 'gagal'],
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'branding': ['branding', 'personal branding', 'image', 'citra'],
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'funnel': ['funel', 'funnel', 'awareness', 'desire', 'action'],
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'client': ['klien', 'client', 'pelanggan', 'customer'],
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'price': ['harga', 'price', 'bayar', 'paid', 'invoice'],
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'negotiation': ['tawar', 'negosiasi', 'deal'],
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'service': ['jasa', 'service', 'website', 'plugin'],
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'exploration': ['explore', 'eksplor', 'coba', 'trial'],
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'network': ['network', 'jaringan', 'koneksi'],
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'sharing': ['sharing', 'share', 'bagi'],
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'product': ['produk', 'product', 'template', 'plugin'],
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'trust': ['trust', 'percaya', 'kepercayaan'],
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'sales': ['jual', 'sales', 'closing'],
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}
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return keywords
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def analyze_structure():
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"""Analyze the transcript structure."""
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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("Loading transcript...")
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data = load_transcript(file_path)
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print("Extracting segments...")
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segments = extract_text_with_timestamps(data)
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print(f"\nTotal segments: {len(segments)}")
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# Get total duration
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if segments:
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total_duration = segments[-1]['start']
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print(f"Total duration: {seconds_to_timestamp(total_duration)} ({total_duration/60:.1f} minutes)")
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# Sample segments at different intervals
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print("\n=== SAMPLING SEGMENTS AT KEY INTERVALS ===\n")
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sample_points = [0, 300, 600, 900, 1200, 1500, 1800, 2100, 2400, 2700, 3000,
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3300, 3600, 3900, 4200, 4500, 4800, 5100, 5400, 5700, 6000,
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6300, 6600, 6900, 7200, 7500, 7800, 8100, 8400, 8700, 9000]
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for i, target_time in enumerate(sample_points):
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# Find closest segment
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closest = None
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min_diff = float('inf')
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for seg in segments:
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diff = abs(seg['start'] - target_time)
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if diff < min_diff:
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min_diff = diff
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closest = seg
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if closest and min_diff < 60: # Within 1 minute
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text = clean_text(closest['text'])
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if len(text) > 50: # Only meaningful segments
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print(f"[{seconds_to_timestamp(closest['start'])}]")
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print(f"{text[:200]}...")
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print()
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# Look for transition phrases
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print("\n=== LOOKING FOR TRANSITION PHRASES ===\n")
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transition_phrases = [
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'oke',
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'jadi',
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'nah',
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'kemudian',
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'selanjutnya',
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'setelah itu',
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'sekarang',
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'selanjutnya',
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'lanjut',
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'terus',
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'setelah',
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'nah sekarang',
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'oke jadi',
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'jadi sekarang',
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'nah kalau',
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]
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# Look for sections mentioning main topics
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print("\n=== SEARCHING FOR TOPIC MENTIONS ===\n")
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topic_keywords = {
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'Market/Community': ['market', 'pasar', 'grup', 'komunitas', 'community', 'telegram', 'facebook'],
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'Problem Finding': ['masalah', 'problem', 'kesulitan', 'permasalahan'],
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'Personal Branding': ['branding', 'personal branding', 'show off'],
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'AIDA Funnel': ['aida', 'awareness', 'interest', 'desire', 'action', 'funel', 'funnel'],
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'Getting Clients': ['klien', 'client', 'calon klien'],
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'Pricing/Payment': ['harga', 'bayar', 'budget', 'invoice', 'price'],
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'Negotiation': ['tawar', 'negosiasi', 'deal'],
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'Trust Building': ['trust', 'percaya', 'kepercayaan'],
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'Services/Products': ['jasa', 'service', 'produk', 'elementor', 'plugin', 'website'],
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'Cold/Warm/Hot Market': ['cold market', 'warm market', 'hot market'],
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}
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# Find segments grouped by time periods
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print("\n=== CONTENT BY TIME PERIODS (every 10 minutes) ===\n")
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period = 600 # 10 minutes in seconds
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current_period = 0
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while current_period < total_duration:
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period_end = current_period + period
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period_segments = [s for s in segments if current_period <= s['start'] < period_end]
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if period_segments:
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# Combine text from this period
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period_text = ' '.join([clean_text(s['text']) for s in period_segments[:20]]) # First 20 segments
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period_text = period_text[:500] # First 500 chars
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print(f"\n{'='*70}")
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print(f"PERIOD: {seconds_to_timestamp(current_period)} - {seconds_to_timestamp(period_end)}")
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print(f"{'='*70}")
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print(period_text)
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print()
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current_period = period_end
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if __name__ == "__main__":
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analyze_structure()
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