Matt Van Horn
775596ce21
Setup wizard with consent-first cookie extraction (Chrome/Firefox/Safari), yt-dlp auto-install, ScrapeCreators push, quality scoring (5 core sources), status banner redesign, honest Reddit labeling, inline YouTube transcripts, Exa free web search, Reddit public fallback, and post-research quality nudge. Co-authored-by: Matt Van Horn <mvanhorn@MacBook-Pro.local> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
539 lines
17 KiB
Python
539 lines
17 KiB
Python
"""YouTube search and transcript extraction via yt-dlp for /last30days v2.1.
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Uses yt-dlp (https://github.com/yt-dlp/yt-dlp) for both YouTube search and
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transcript extraction. No API keys needed — just have yt-dlp installed.
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Inspired by Peter Steinberger's toolchain approach (yt-dlp + summarize CLI).
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"""
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import json
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import math
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import os
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import re
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import signal
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import shutil
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import subprocess
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import sys
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import tempfile
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import urllib.error
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import urllib.request
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Set, Tuple
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# Depth configurations: how many videos to search / transcribe
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DEPTH_CONFIG = {
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"quick": 10,
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"default": 20,
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"deep": 40,
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}
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TRANSCRIPT_LIMITS = {
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"quick": 3,
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"default": 5,
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"deep": 8,
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}
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# Max words to keep from each transcript
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TRANSCRIPT_MAX_WORDS = 5000
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from .relevance import token_overlap_relevance as _compute_relevance
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def extract_transcript_highlights(transcript: str, topic: str, limit: int = 5) -> List[str]:
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"""Extract quotable highlights from a YouTube transcript.
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Similar to reddit_enrich.extract_comment_insights() but for
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continuous speech-to-text rather than threaded comments.
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"""
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if not transcript:
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return []
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sentences = re.split(r'(?<=[.!?])\s+', transcript)
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filler = [
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r"^(hey |hi |what's up|welcome back|in today's video|don't forget to)",
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r"(subscribe|like and comment|hit the bell|check out the link|down below)",
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r"^(so |and |but |okay |alright |um |uh )",
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r"(thanks for watching|see you (next|in the)|bye)",
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]
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topic_words = [w.lower() for w in topic.lower().split() if len(w) > 2]
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candidates = []
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for sent in sentences:
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sent = sent.strip()
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words = sent.split()
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if len(words) < 8 or len(words) > 50:
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continue
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if any(re.search(p, sent, re.IGNORECASE) for p in filler):
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continue
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score = 0
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if re.search(r'\d', sent):
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score += 2
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if re.search(r'[A-Z][a-z]+', sent):
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score += 1
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if '?' in sent:
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score += 1
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sent_lower = sent.lower()
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if any(w in sent_lower for w in topic_words):
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score += 2
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candidates.append((score, sent))
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candidates.sort(key=lambda x: -x[0])
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return [sent for _, sent in candidates[:limit]]
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def _log(msg: str):
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"""Log to stderr."""
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sys.stderr.write(f"[YouTube] {msg}\n")
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sys.stderr.flush()
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def is_ytdlp_installed() -> bool:
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"""Check if yt-dlp is available in PATH."""
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return shutil.which("yt-dlp") is not None
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def _extract_core_subject(topic: str) -> str:
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"""Extract core subject from verbose query for YouTube search.
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NOTE: 'tips', 'tricks', 'tutorial', 'guide', 'review', 'reviews'
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are intentionally KEPT — they're YouTube content types that improve search.
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"""
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from .query import extract_core_subject
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# YouTube-specific noise set: smaller than default, keeps content-type words
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_YT_NOISE = frozenset({
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'best', 'top', 'good', 'great', 'awesome', 'killer',
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'latest', 'new', 'news', 'update', 'updates',
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'trending', 'hottest', 'popular', 'viral',
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'practices', 'features',
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'recommendations', 'advice',
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'prompt', 'prompts', 'prompting',
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'methods', 'strategies', 'approaches',
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})
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return extract_core_subject(topic, noise=_YT_NOISE)
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def search_youtube(
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topic: str,
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from_date: str,
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to_date: str,
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depth: str = "default",
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) -> Dict[str, Any]:
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"""Search YouTube via yt-dlp. No API key needed.
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Args:
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topic: Search topic
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from_date: Start date (YYYY-MM-DD)
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to_date: End date (YYYY-MM-DD)
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depth: 'quick', 'default', or 'deep'
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Returns:
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Dict with 'items' list of video metadata dicts.
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"""
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if not is_ytdlp_installed():
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return {"items": [], "error": "yt-dlp not installed"}
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count = DEPTH_CONFIG.get(depth, DEPTH_CONFIG["default"])
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core_topic = _extract_core_subject(topic)
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_log(f"Searching YouTube for '{core_topic}' (since {from_date}, count={count})")
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# yt-dlp search with full metadata (no --flat-playlist so dates are real).
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# NOTE: --dateafter intentionally omitted — YouTube search returns
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# relevance-sorted results and strict date filtering returns 0 for
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# evergreen topics. Python soft filter (below) handles date filtering.
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cmd = [
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"yt-dlp",
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"--ignore-config",
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"--no-cookies-from-browser",
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f"ytsearch{count}:{core_topic}",
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"--dump-json",
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"--no-warnings",
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"--no-download",
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]
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preexec = os.setsid if hasattr(os, 'setsid') else None
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try:
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proc = subprocess.Popen(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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preexec_fn=preexec,
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)
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try:
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stdout, stderr = proc.communicate(timeout=120)
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except subprocess.TimeoutExpired:
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try:
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os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
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except (ProcessLookupError, PermissionError, OSError):
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proc.kill()
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proc.wait(timeout=5)
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_log("YouTube search timed out (120s)")
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return {"items": [], "error": "Search timed out"}
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except FileNotFoundError:
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return {"items": [], "error": "yt-dlp not found"}
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if not (stdout or "").strip():
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_log("YouTube search returned 0 results")
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return {"items": []}
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# Parse JSON-per-line output
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items = []
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for line in stdout.strip().split("\n"):
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line = line.strip()
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if not line:
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continue
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try:
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video = json.loads(line)
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except json.JSONDecodeError:
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continue
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video_id = video.get("id", "")
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view_count = video.get("view_count") or 0
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like_count = video.get("like_count") or 0
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comment_count = video.get("comment_count") or 0
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upload_date = video.get("upload_date", "") # YYYYMMDD
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# Convert YYYYMMDD to YYYY-MM-DD
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date_str = None
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if upload_date and len(upload_date) == 8:
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date_str = f"{upload_date[:4]}-{upload_date[4:6]}-{upload_date[6:8]}"
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items.append({
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"video_id": video_id,
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"title": video.get("title", ""),
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"url": f"https://www.youtube.com/watch?v={video_id}",
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"channel_name": video.get("channel", video.get("uploader", "")),
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"date": date_str,
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"engagement": {
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"views": view_count,
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"likes": like_count,
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"comments": comment_count,
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},
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"duration": video.get("duration"),
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"relevance": _compute_relevance(core_topic, video.get("title", "")),
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"why_relevant": f"YouTube: {video.get('title', core_topic)[:60]}",
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})
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# Soft date filter: prefer recent items but fall back to all if too few
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recent = [i for i in items if i["date"] and i["date"] >= from_date]
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if len(recent) >= 3:
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items = recent
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_log(f"Found {len(items)} videos within date range")
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else:
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_log(f"Found {len(items)} videos ({len(recent)} within date range, keeping all)")
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# Sort by views descending
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items.sort(key=lambda x: x["engagement"]["views"], reverse=True)
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return {"items": items}
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def _clean_vtt(vtt_text: str) -> str:
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"""Convert VTT subtitle format to clean plaintext."""
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# Strip VTT header
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text = re.sub(r'^WEBVTT.*?\n\n', '', vtt_text, flags=re.DOTALL)
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# Strip timestamps
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text = re.sub(r'\d{2}:\d{2}:\d{2}\.\d{3}\s*-->\s*\d{2}:\d{2}:\d{2}\.\d{3}.*\n', '', text)
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# Strip position/alignment tags
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text = re.sub(r'<[^>]+>', '', text)
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# Strip cue numbers
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text = re.sub(r'^\d+\s*$', '', text, flags=re.MULTILINE)
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# Deduplicate overlapping lines
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lines = text.strip().split('\n')
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seen = set()
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unique = []
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for line in lines:
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stripped = line.strip()
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if stripped and stripped not in seen:
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seen.add(stripped)
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unique.append(stripped)
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return re.sub(r'\s+', ' ', ' '.join(unique)).strip()
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_YT_USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
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def _fetch_transcript_direct(video_id: str, timeout: int = 30) -> Optional[str]:
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"""Fetch YouTube transcript via direct HTTP without yt-dlp.
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Scrapes the watch page HTML for the captions track URL in
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ytInitialPlayerResponse, then fetches the VTT subtitle file.
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Args:
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video_id: YouTube video ID
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timeout: HTTP request timeout in seconds
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Returns:
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Raw VTT text, or None if captions are unavailable.
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"""
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watch_url = f"https://www.youtube.com/watch?v={video_id}"
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headers = {
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"User-Agent": _YT_USER_AGENT,
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"Accept-Language": "en-US,en;q=0.9",
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}
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# Step 1: Fetch the watch page HTML
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req = urllib.request.Request(watch_url, headers=headers)
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try:
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with urllib.request.urlopen(req, timeout=timeout) as resp:
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html = resp.read().decode("utf-8", errors="replace")
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except (urllib.error.URLError, urllib.error.HTTPError, OSError, TimeoutError) as exc:
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_log(f"Direct transcript: failed to fetch watch page for {video_id}: {exc}")
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return None
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# Step 2: Extract captions URL from ytInitialPlayerResponse
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# YouTube embeds this as a JS variable in the page HTML
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match = re.search(
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r'ytInitialPlayerResponse\s*=\s*(\{.+?\})\s*;(?:\s*var\s|\s*<\/script>)',
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html,
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)
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if not match:
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# Fallback: try the JSON embedded in the script tag
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match = re.search(
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r'var\s+ytInitialPlayerResponse\s*=\s*(\{.+?\})\s*;',
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html,
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)
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if not match:
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_log(f"Direct transcript: no ytInitialPlayerResponse found for {video_id}")
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return None
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try:
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player_response = json.loads(match.group(1))
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except json.JSONDecodeError:
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_log(f"Direct transcript: failed to parse ytInitialPlayerResponse for {video_id}")
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return None
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# Navigate to caption tracks
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captions = player_response.get("captions", {})
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renderer = captions.get("playerCaptionsTracklistRenderer", {})
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caption_tracks = renderer.get("captionTracks", [])
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if not caption_tracks:
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_log(f"Direct transcript: no caption tracks for {video_id}")
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return None
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# Find English track (prefer exact 'en', then any en variant, then first track)
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base_url = None
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for track in caption_tracks:
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lang = track.get("languageCode", "")
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if lang == "en":
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base_url = track.get("baseUrl")
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break
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if not base_url:
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for track in caption_tracks:
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lang = track.get("languageCode", "")
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if lang.startswith("en"):
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base_url = track.get("baseUrl")
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break
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if not base_url:
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# Fall back to first available track
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base_url = caption_tracks[0].get("baseUrl")
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if not base_url:
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_log(f"Direct transcript: no baseUrl in caption tracks for {video_id}")
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return None
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# Step 3: Fetch the VTT subtitle file
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sep = "&" if "?" in base_url else "?"
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vtt_url = f"{base_url}{sep}fmt=vtt"
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vtt_req = urllib.request.Request(vtt_url, headers=headers)
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try:
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with urllib.request.urlopen(vtt_req, timeout=timeout) as resp:
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vtt_text = resp.read().decode("utf-8", errors="replace")
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except (urllib.error.URLError, urllib.error.HTTPError, OSError, TimeoutError) as exc:
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_log(f"Direct transcript: failed to fetch VTT for {video_id}: {exc}")
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return None
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if not vtt_text or not vtt_text.strip():
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return None
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return vtt_text
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def _fetch_transcript_ytdlp(video_id: str, temp_dir: str) -> Optional[str]:
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"""Fetch transcript using yt-dlp (original implementation).
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Args:
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video_id: YouTube video ID
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temp_dir: Temporary directory for subtitle files
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Returns:
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Raw VTT text, or None if no captions available.
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"""
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cmd = [
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"yt-dlp",
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"--ignore-config",
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"--no-cookies-from-browser",
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"--write-auto-subs",
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"--sub-lang", "en",
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"--sub-format", "vtt",
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"--skip-download",
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"--no-warnings",
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"-o", f"{temp_dir}/%(id)s",
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f"https://www.youtube.com/watch?v={video_id}",
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]
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preexec = os.setsid if hasattr(os, 'setsid') else None
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try:
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proc = subprocess.Popen(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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preexec_fn=preexec,
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)
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try:
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proc.communicate(timeout=30)
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except subprocess.TimeoutExpired:
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try:
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os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
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except (ProcessLookupError, PermissionError, OSError):
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proc.kill()
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proc.wait(timeout=5)
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return None
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except FileNotFoundError:
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return None
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# yt-dlp may save as .en.vtt or .en-orig.vtt
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vtt_path = Path(temp_dir) / f"{video_id}.en.vtt"
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if not vtt_path.exists():
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# Try alternate naming
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for p in Path(temp_dir).glob(f"{video_id}*.vtt"):
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vtt_path = p
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break
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else:
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return None
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try:
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return vtt_path.read_text(encoding="utf-8", errors="replace")
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except OSError:
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return None
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def fetch_transcript(video_id: str, temp_dir: str) -> Optional[str]:
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"""Fetch auto-generated transcript for a YouTube video.
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Uses yt-dlp when available (preferred, more robust). Falls back to
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direct HTTP transcript fetching when yt-dlp is not installed.
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Args:
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video_id: YouTube video ID
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temp_dir: Temporary directory for subtitle files
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Returns:
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Plaintext transcript string, or None if no captions available.
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"""
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raw_vtt = None
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if is_ytdlp_installed():
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raw_vtt = _fetch_transcript_ytdlp(video_id, temp_dir)
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else:
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_log("yt-dlp not installed, using direct HTTP transcript fetch")
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raw_vtt = _fetch_transcript_direct(video_id)
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if not raw_vtt:
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return None
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transcript = _clean_vtt(raw_vtt)
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# Truncate to max words
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words = transcript.split()
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if len(words) > TRANSCRIPT_MAX_WORDS:
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transcript = ' '.join(words[:TRANSCRIPT_MAX_WORDS]) + '...'
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return transcript if transcript else None
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def fetch_transcripts_parallel(
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video_ids: List[str],
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max_workers: int = 5,
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) -> Dict[str, Optional[str]]:
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"""Fetch transcripts for multiple videos in parallel.
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Args:
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video_ids: List of YouTube video IDs
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max_workers: Max parallel fetches
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Returns:
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Dict mapping video_id to transcript text (or None).
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"""
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if not video_ids:
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return {}
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_log(f"Fetching transcripts for {len(video_ids)} videos")
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results = {}
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with tempfile.TemporaryDirectory() as temp_dir:
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with ThreadPoolExecutor(max_workers=max_workers) as executor:
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futures = {
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executor.submit(fetch_transcript, vid, temp_dir): vid
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for vid in video_ids
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}
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for future in as_completed(futures):
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vid = futures[future]
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try:
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results[vid] = future.result()
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except Exception:
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results[vid] = None
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got = sum(1 for v in results.values() if v)
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_log(f"Got transcripts for {got}/{len(video_ids)} videos")
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return results
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def search_and_transcribe(
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topic: str,
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from_date: str,
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to_date: str,
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depth: str = "default",
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) -> Dict[str, Any]:
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"""Full YouTube search: find videos, then fetch transcripts for top results.
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Args:
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topic: Search topic
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from_date: Start date (YYYY-MM-DD)
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to_date: End date (YYYY-MM-DD)
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depth: 'quick', 'default', or 'deep'
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Returns:
|
|
Dict with 'items' list. Each item has a 'transcript_snippet' field.
|
|
"""
|
|
# Step 1: Search
|
|
search_result = search_youtube(topic, from_date, to_date, depth)
|
|
items = search_result.get("items", [])
|
|
|
|
if not items:
|
|
return search_result
|
|
|
|
# Step 2: Fetch transcripts for top N by views
|
|
transcript_limit = TRANSCRIPT_LIMITS.get(depth, TRANSCRIPT_LIMITS["default"])
|
|
top_ids = [item["video_id"] for item in items[:transcript_limit]]
|
|
transcripts = fetch_transcripts_parallel(top_ids)
|
|
|
|
# Step 3: Attach transcripts and extract highlights
|
|
core_topic = _extract_core_subject(topic)
|
|
for item in items:
|
|
vid = item["video_id"]
|
|
transcript = transcripts.get(vid)
|
|
item["transcript_snippet"] = transcript or ""
|
|
item["transcript_highlights"] = extract_transcript_highlights(
|
|
transcript or "", core_topic,
|
|
)
|
|
|
|
return {"items": items}
|
|
|
|
|
|
def parse_youtube_response(response: Dict[str, Any]) -> List[Dict[str, Any]]:
|
|
"""Parse YouTube search response to normalized format.
|
|
|
|
Returns:
|
|
List of item dicts ready for normalization.
|
|
"""
|
|
return response.get("items", [])
|