130 lines
5.2 KiB
Python
130 lines
5.2 KiB
Python
import os
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import email
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from pathlib import Path
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from typing import List, Any
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from llama_index.core import Document
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from llama_index.core.readers.base import BaseReader
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class EmlxReader(BaseReader):
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"""
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Apple Mail .emlx file reader with embedded metadata.
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Reads individual .emlx files from Apple Mail's storage format.
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"""
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def __init__(self) -> None:
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"""Initialize."""
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pass
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def load_data(self, input_dir: str, **load_kwargs: Any) -> List[Document]:
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"""
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Load data from the input directory containing .emlx files.
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Args:
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input_dir: Directory containing .emlx files
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**load_kwargs:
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max_count (int): Maximum amount of messages to read.
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"""
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docs: List[Document] = []
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max_count = load_kwargs.get('max_count', 1000)
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count = 0
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# Walk through the directory recursively
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for dirpath, dirnames, filenames in os.walk(input_dir):
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# Skip hidden directories
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dirnames[:] = [d for d in dirnames if not d.startswith(".")]
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for filename in filenames:
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if count >= max_count:
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break
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if filename.endswith(".emlx"):
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filepath = os.path.join(dirpath, filename)
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try:
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# Read the .emlx file
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with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
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content = f.read()
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# .emlx files have a length prefix followed by the email content
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# The first line contains the length, followed by the email
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lines = content.split('\n', 1)
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if len(lines) >= 2:
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email_content = lines[1]
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# Parse the email using Python's email module
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try:
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msg = email.message_from_string(email_content)
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# Extract email metadata
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subject = msg.get('Subject', 'No Subject')
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from_addr = msg.get('From', 'Unknown')
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to_addr = msg.get('To', 'Unknown')
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date = msg.get('Date', 'Unknown')
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# Extract email body
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body = ""
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if msg.is_multipart():
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for part in msg.walk():
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if part.get_content_type() == "text/plain" or part.get_content_type() == "text/html":
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# if part.get_content_type() == "text/html":
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# continue
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body += part.get_payload(decode=True).decode('utf-8', errors='ignore')
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# break
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else:
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body = msg.get_payload(decode=True).decode('utf-8', errors='ignore')
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# Create document content with metadata embedded in text
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doc_content = f"""
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[EMAIL METADATA]
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File: {filename}
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From: {from_addr}
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To: {to_addr}
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Subject: {subject}
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Date: {date}
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[END METADATA]
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{body}
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"""
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# No separate metadata - everything is in the text
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doc = Document(text=doc_content, metadata={})
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docs.append(doc)
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count += 1
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except Exception as e:
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print(f"Error parsing email from {filepath}: {e}")
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continue
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except Exception as e:
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print(f"Error reading file {filepath}: {e}")
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continue
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print(f"Loaded {len(docs)} email documents")
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return docs
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@staticmethod
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def find_all_messages_directories(base_path: str) -> List[Path]:
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"""
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Find all Messages directories under the given base path.
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Args:
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base_path: Base path to search for Messages directories
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Returns:
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List of Path objects pointing to Messages directories
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"""
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base_path_obj = Path(base_path)
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messages_dirs = []
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if not base_path_obj.exists():
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print(f"Base path {base_path} does not exist")
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return messages_dirs
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# Find all Messages directories recursively
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for messages_dir in base_path_obj.rglob("Messages"):
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if messages_dir.is_dir():
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messages_dirs.append(messages_dir)
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print(f"Found Messages directory: {messages_dir}")
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print(f"Found {len(messages_dirs)} Messages directories")
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return messages_dirs |