185 lines
7.6 KiB
Python
185 lines
7.6 KiB
Python
"""
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AUTHOR:
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Khushal P Soonderji
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DATE:
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Tuesday, 26th Nov., 2024
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OBJECTIVE:
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To parse raw mail bodies and give a structure that is suitable for storing in No-SQL databases like MongoDB. The
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raw mail's text is expected to be compliant with standard defined in RFC 5322, RFC 2045, and maybe a few more.
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REFERENCES:
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1. GitHub: https://github.com/SpamScope/mail-parser
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2. RFC 5322: https://datatracker.ietf.org/doc/html/rfc5322
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3. RFC 2045: https://datatracker.ietf.org/doc/html/rfc2045
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DOWNLOADS:
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N/A
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"""
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# *****************************************************************************************************************
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# ***** ****
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# *** IMPORT ***
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# ***** ****
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# *****************************************************************************************************************
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# To make sibling directories accessible for imports:
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import sys
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sys.path.append(".")
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sys.path.append("..")
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# System-level activities:
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import io
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# My utils:
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from utils_v2.string import json
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from utils_v2.string import regex
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from utils_v2.date_time import date_time
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# To work with mails:
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import mailparser
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# To parse the HTML content in the mail:
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from bs4 import BeautifulSoup
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# To work with datatypes:
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from typing import Any, Dict
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# To work with base-64 encoding:
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import base64
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# *****************************************************************************************************************
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# ***** ****
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# *** MACROS / ONE-TIME INIT ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** VARIABLES ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** FUNCTIONS ***
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# ***** ****
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# *****************************************************************************************************************
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def parse(raw_mail: str | bytes) -> Dict[str, Any]:
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"""
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To parse the raw mail text to a usable JSON that can even be stored on a No-SQL database like MongoDB.
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DOCUMENTATION:
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1. GitHub: https://github.com/SpamScope/mail-parser
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2. RFC 5322: https://datatracker.ietf.org/doc/html/rfc5322
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3. RFC 2045: https://datatracker.ietf.org/doc/html/rfc2045
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:param raw_mail: The raw mail body that adheres to RFC 5322 and RFC 2045 (among others).
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:return: The parsed JSON format (dict) of the mail.
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"""
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# Parse the raw format:
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if isinstance(raw_mail, str): parsed_mail = mailparser.parse_from_string(raw_mail)
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else: parsed_mail = mailparser.parse_from_bytes(raw_mail)
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# Format the attachments:
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message_attachments = [
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{
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"filename": attachment["filename"],
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"type": attachment["mail_content_type"],
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"cid": regex.find_first(text = attachment["content-id"], pattern = r"(?<=<).*(?=>)"),
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"rawCid": attachment["content-id"],
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"contentDisposition": (cd := attachment["content-disposition"]),
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"isInline": True if cd.lower().find("inline") >= 0 else False,
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"charset": attachment["charset"],
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"contentTransferEncoding": attachment["content_transfer_encoding"],
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"payload": attachment["payload"]
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} for attachment in parsed_mail.attachments
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]
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# Figure out which entity (text and HTML) came in which sequence.
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# The library doesn't give us any sequence info so we do some custom string processing here to figure out the order
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# in which to render the contents of the page.
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parts = [
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{
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"no": None,
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"offset": max(
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parsed_mail.message_as_string.find(t),
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parsed_mail.message_as_string.find(base64.b64encode(t.encode()).decode())
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),
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"type": "text/plain",
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"data": t
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} for t in parsed_mail.text_plain
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]
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parts = parts + [
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{
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"partNo": None,
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"offset": max(
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parsed_mail.message_as_string.find(h),
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parsed_mail.message_as_string.find(base64.b64encode(h.encode()).decode())
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),
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"type": "text/html",
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"data": h
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} for h in parsed_mail.text_html
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]
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parts = sorted(parts, key = lambda x: x["offset"])
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for i, p in enumerate(parts): p["no"] = i
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# Get the unformatted text from everything in the mail:
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unformatted_text = []
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for p in parts:
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if p["type"] == "text/html":
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html_parser = BeautifulSoup(p["data"], "html.parser")
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unformatted_text.append(html_parser.get_text())
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else: unformatted_text.append(p["data"])
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# Put everything together:
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return {
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"ts": date_time.to_timezone(parsed_mail.date, timezone = date_time.TIMEZONE_UTC),
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"readTs": date_time.get_current_utc_date_time(as_string = False),
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"headers": parsed_mail.headers,
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"from": [{"name": _[0] or _[1], "email": _[1]} for _ in parsed_mail.headers["From"]],
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"to": [{"name": _[0] or _[1], "email": _[1]} for _ in parsed_mail.headers["To"]],
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"cc": [{"name": _[0] or _[1], "email": _[1]} for _ in parsed_mail.headers.get("Cc", [])],
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"bcc": [{"name": _[0] or _[1], "email": _[1]} for _ in parsed_mail.headers.get("Bcc", [])],
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"subject": parsed_mail.headers["Subject"],
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"text": parsed_mail.text_plain,
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"html": parsed_mail.text_html,
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"parts": parts,
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"unformattedText": "\n".join(unformatted_text),
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"attachments": message_attachments,
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"isInbox": None
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}
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# *****************************************************************************************************************
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# ***** ****
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# *** MAIN PROGRAM ***
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# ***** ****
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# *****************************************************************************************************************
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if __name__ == "__main__":
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pass
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