Files
LEANN/examples/email_rag.py
Andy Lee 274bbb19ea feat: Add chunk-size parameters and improve file type filtering
- Add --chunk-size and --chunk-overlap parameters to all RAG examples
- Preserve original default values for each data source:
  - Document: 256/128 (optimized for general documents)
  - Email: 256/25 (smaller overlap for email threads)
  - Browser: 256/128 (standard for web content)
  - WeChat: 192/64 (smaller chunks for chat messages)
- Make --file-types optional filter instead of restriction in document_rag
- Update README to clarify interactive mode and parameter usage
- Fix LLM default model documentation (gpt-4o, not gpt-4o-mini)
2025-07-29 18:31:56 -07:00

149 lines
4.8 KiB
Python

"""
Email RAG example using the unified interface.
Supports Apple Mail on macOS.
"""
import sys
from pathlib import Path
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent))
from base_rag_example import BaseRAGExample, create_text_chunks
from email_data.LEANN_email_reader import EmlxReader
class EmailRAG(BaseRAGExample):
"""RAG example for Apple Mail processing."""
def __init__(self):
super().__init__(
name="Email",
description="Process and query Apple Mail emails with LEANN",
default_index_name="mail_index",
)
def _add_specific_arguments(self, parser):
"""Add email-specific arguments."""
email_group = parser.add_argument_group("Email Parameters")
email_group.add_argument(
"--mail-path",
type=str,
default=None,
help="Path to Apple Mail directory (auto-detected if not specified)",
)
email_group.add_argument(
"--include-html", action="store_true", help="Include HTML content in email processing"
)
email_group.add_argument(
"--chunk-size", type=int, default=256, help="Text chunk size (default: 256)"
)
email_group.add_argument(
"--chunk-overlap", type=int, default=25, help="Text chunk overlap (default: 25)"
)
def _find_mail_directories(self) -> list[Path]:
"""Auto-detect all Apple Mail directories."""
mail_base = Path.home() / "Library" / "Mail"
if not mail_base.exists():
return []
# Find all Messages directories
messages_dirs = []
for item in mail_base.rglob("Messages"):
if item.is_dir():
messages_dirs.append(item)
return messages_dirs
async def load_data(self, args) -> list[str]:
"""Load emails and convert to text chunks."""
# Determine mail directories
if args.mail_path:
messages_dirs = [Path(args.mail_path)]
else:
print("Auto-detecting Apple Mail directories...")
messages_dirs = self._find_mail_directories()
if not messages_dirs:
print("No Apple Mail directories found!")
print("Please specify --mail-path manually")
return []
print(f"Found {len(messages_dirs)} mail directories")
# Create reader
reader = EmlxReader()
# Process each directory
all_documents = []
total_processed = 0
for i, messages_dir in enumerate(messages_dirs):
print(f"\nProcessing directory {i + 1}/{len(messages_dirs)}: {messages_dir}")
try:
# Count emlx files
emlx_files = list(messages_dir.glob("*.emlx"))
print(f"Found {len(emlx_files)} email files")
# Apply max_items limit per directory
max_per_dir = -1
if args.max_items > 0:
remaining = args.max_items - total_processed
if remaining <= 0:
break
max_per_dir = remaining
# Load emails
documents = reader.load_data(
file_path=str(messages_dir),
max_count=max_per_dir,
include_html=args.include_html,
)
if documents:
all_documents.extend(documents)
total_processed += len(documents)
print(f"Processed {len(documents)} emails from this directory")
except Exception as e:
print(f"Error processing {messages_dir}: {e}")
continue
if not all_documents:
print("No emails found to process!")
return []
print(f"\nTotal emails processed: {len(all_documents)}")
# Convert to text chunks
# Email reader uses chunk_overlap=25 as in original
all_texts = create_text_chunks(
all_documents, chunk_size=args.chunk_size, chunk_overlap=args.chunk_overlap
)
return all_texts
if __name__ == "__main__":
import asyncio
# Check platform
if sys.platform != "darwin":
print("\n⚠️ Warning: This example is designed for macOS (Apple Mail)")
print(" Windows/Linux support coming soon!\n")
# Example queries for email RAG
print("\n📧 Email RAG Example")
print("=" * 50)
print("\nExample queries you can try:")
print("- 'What did my boss say about deadlines?'")
print("- 'Find emails about travel expenses'")
print("- 'Show me emails from last month about the project'")
print("- 'What food did I order from DoorDash?'")
print("\nNote: You may need to grant Full Disk Access to your terminal\n")
rag = EmailRAG()
asyncio.run(rag.run())