170 lines
5.4 KiB
Python
170 lines
5.4 KiB
Python
#!/usr/bin/env python3
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# /// script
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# dependencies = ["python-frontmatter", "pyyaml"]
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# ///
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"""
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Search Readwise highlights by topic, author, or category.
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Usage:
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uv run search-readwise.py "query" [--author "name"] [--category articles|books|podcasts|tweets]
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Arguments:
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query - Search term or phrase
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--author - Filter by author name
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--category - Filter by category (articles, books, podcasts, tweets)
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Examples:
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uv run search-readwise.py "second brain"
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uv run search-readwise.py "AI" --author "Andrej Karpathy"
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uv run search-readwise.py "habits" --category books
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"""
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import sys
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import os
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import json
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import re
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from pathlib import Path
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import frontmatter
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VAULT_PATH = Path.home() / "Library/Mobile Documents/iCloud~md~obsidian/Documents/Personal_Notes"
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READWISE_PATH = VAULT_PATH / "Readwise"
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def search_readwise(query: str, author: str = "", category: str = "", limit: int = 15) -> list[dict]:
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"""Search Readwise highlights."""
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results = []
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# Determine search paths based on category
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if category:
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category_map = {
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"articles": "Articles",
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"books": "Books",
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"podcasts": "Podcasts",
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"tweets": "Tweets"
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}
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search_paths = [READWISE_PATH / category_map.get(category.lower(), category)]
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else:
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search_paths = [
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READWISE_PATH / "Articles",
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READWISE_PATH / "Books",
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READWISE_PATH / "Podcasts",
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READWISE_PATH / "Tweets"
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]
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pattern = re.compile(re.escape(query), re.IGNORECASE)
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author_pattern = re.compile(re.escape(author), re.IGNORECASE) if author else None
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for search_path in search_paths:
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if not search_path.exists():
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continue
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for md_file in search_path.rglob("*.md"):
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try:
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post = frontmatter.load(md_file)
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content = post.content
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metadata = post.metadata
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# Filter by author if specified
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if author_pattern:
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file_author = metadata.get("Author", "")
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if not author_pattern.search(file_author):
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continue
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# Search in content
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matches = list(pattern.finditer(content))
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if not matches:
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continue
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# Extract highlights (lines starting with - or >)
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highlights = []
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for line in content.split('\n'):
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line = line.strip()
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if (line.startswith('-') or line.startswith('>')) and pattern.search(line):
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highlights.append(line[:200])
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# Get context around first match if no highlight found
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if not highlights and matches:
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first_match = matches[0]
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start = max(0, first_match.start() - 50)
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end = min(len(content), first_match.end() + 150)
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excerpt = content[start:end].strip()
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excerpt = re.sub(r'\s+', ' ', excerpt)
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highlights = [excerpt]
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results.append({
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"file": str(md_file.relative_to(VAULT_PATH)),
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"title": metadata.get("Full Title", md_file.stem),
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"author": metadata.get("Author", "Unknown"),
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"category": search_path.name,
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"matches": len(matches),
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"highlights": highlights[:3] # Top 3 matching highlights
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})
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if len(results) >= limit:
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break
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except Exception as e:
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continue
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if len(results) >= limit:
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break
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# Sort by number of matches
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results.sort(key=lambda x: x["matches"], reverse=True)
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return results[:limit]
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def main():
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if len(sys.argv) < 2:
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print("Usage: uv run search-readwise.py \"query\" [--author \"name\"] [--category type]")
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sys.exit(1)
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query = sys.argv[1]
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author = ""
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category = ""
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# Parse arguments
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i = 2
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while i < len(sys.argv):
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if sys.argv[i] == "--author" and i + 1 < len(sys.argv):
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author = sys.argv[i + 1]
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i += 2
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elif sys.argv[i] == "--category" and i + 1 < len(sys.argv):
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category = sys.argv[i + 1]
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i += 2
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else:
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i += 1
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filters = []
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if author:
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filters.append(f"author: {author}")
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if category:
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filters.append(f"category: {category}")
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filter_str = f" ({', '.join(filters)})" if filters else ""
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print(f"Searching Readwise for '{query}'{filter_str}...")
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results = search_readwise(query, author, category)
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if not results:
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print(f"\nNo Readwise highlights found for '{query}'")
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return
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print(f"\nFound {len(results)} sources:\n")
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for i, result in enumerate(results, 1):
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print(f"{i}. **{result['title']}**")
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print(f" Author: {result['author']} | Category: {result['category']} | {result['matches']} matches")
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print(f" File: {result['file']}")
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if result['highlights']:
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print(f" Highlights:")
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for h in result['highlights']:
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print(f" - {h[:150]}{'...' if len(h) > 150 else ''}")
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print()
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# Output JSON for programmatic use
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print(f"\n{json.dumps({'results': results, 'total': len(results)})}")
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if __name__ == "__main__":
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main()
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