Files
gh-krishagel-geoffrey/skills/obsidian-manager/scripts/search-readwise.py
2025-11-30 08:35:59 +08:00

170 lines
5.4 KiB
Python

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