arcade-mcp/toolkits/google/arcade_google/tools/utils.py
2024-09-25 12:46:18 -07:00

176 lines
5.2 KiB
Python

import datetime
import re
from base64 import urlsafe_b64decode
from enum import Enum
from typing import Any, Optional
from bs4 import BeautifulSoup
class DateRange(Enum):
TODAY = "today"
YESTERDAY = "yesterday"
LAST_7_DAYS = "last_7_days"
LAST_30_DAYS = "last_30_days"
THIS_MONTH = "this_month"
LAST_MONTH = "last_month"
THIS_YEAR = "this_year"
def to_date_query(self):
today = datetime.datetime.now()
result = "after:"
comparison_date = today
if self == DateRange.YESTERDAY:
comparison_date = today - datetime.timedelta(days=1)
elif self == DateRange.LAST_7_DAYS:
comparison_date = today - datetime.timedelta(days=7)
elif self == DateRange.LAST_30_DAYS:
comparison_date = today - datetime.timedelta(days=30)
elif self == DateRange.THIS_MONTH:
comparison_date = today.replace(day=1)
elif self == DateRange.LAST_MONTH:
comparison_date = (today.replace(day=1) - datetime.timedelta(days=1)).replace(day=1)
elif self == DateRange.THIS_YEAR:
comparison_date = today.replace(month=1, day=1)
elif self == DateRange.LAST_MONTH:
comparison_date = (today.replace(month=1, day=1) - datetime.timedelta(days=1)).replace(
month=1, day=1
)
return result + comparison_date.strftime("%Y/%m/%d")
def parse_email(email_data: dict[str, Any]) -> Optional[dict[str, str]]:
"""
Parse email data and extract relevant information.
Args:
email_data (Dict[str, Any]): Raw email data from Gmail API.
Returns:
Optional[Dict[str, str]]: Parsed email details or None if parsing fails.
"""
try:
payload = email_data["payload"]
headers = {d["name"].lower(): d["value"] for d in payload["headers"]}
body_data = _get_email_body(payload)
return {
"id": email_data.get("id", ""),
"from": headers.get("from", ""),
"date": headers.get("date", ""),
"subject": headers.get("subject", "No subject"),
"body": _clean_email_body(body_data) if body_data else "",
}
except Exception as e:
print(f"Error parsing email {email_data.get('id', 'unknown')}: {e}")
return None
def parse_draft_email(draft_email_data: dict[str, Any]) -> Optional[dict[str, str]]:
"""
Parse draft email data and extract relevant information.
Args:
draft_email_data (Dict[str, Any]): Raw draft email data from Gmail API.
Returns:
Optional[Dict[str, str]]: Parsed draft email details or None if parsing fails.
"""
try:
message = draft_email_data["message"]
payload = message["payload"]
headers = {d["name"].lower(): d["value"] for d in payload["headers"]}
body_data = _get_email_body(payload)
return {
"id": draft_email_data.get("id", ""),
"from": headers.get("from", ""),
"date": headers.get("internaldate", ""),
"subject": headers.get("subject", "No subject"),
"body": _clean_email_body(body_data) if body_data else "",
}
except Exception as e:
print(f"Error parsing draft email {draft_email_data.get('id', 'unknown')}: {e}")
return None
def get_draft_url(draft_id):
return f"https://mail.google.com/mail/u/0/#drafts/{draft_id}"
def get_sent_email_url(sent_email_id):
return f"https://mail.google.com/mail/u/0/#sent/{sent_email_id}"
def get_email_in_trash_url(email_id):
return f"https://mail.google.com/mail/u/0/#trash/{email_id}"
def _get_email_body(payload: dict[str, Any]) -> Optional[str]:
"""
Extract email body from payload.
Args:
payload (Dict[str, Any]): Email payload data.
Returns:
Optional[str]: Decoded email body or None if not found.
"""
if "body" in payload and payload["body"].get("data"):
return urlsafe_b64decode(payload["body"]["data"]).decode()
for part in payload.get("parts", []):
if part.get("mimeType") == "text/plain" and "data" in part["body"]:
return urlsafe_b64decode(part["body"]["data"]).decode()
return None
def _clean_email_body(body: str) -> str:
"""
Remove HTML tags and clean up email body text while preserving most content.
Args:
body (str): The raw email body text.
Returns:
str: Cleaned email body text.
"""
try:
# Remove HTML tags using BeautifulSoup
soup = BeautifulSoup(body, "html.parser")
text = soup.get_text(separator=" ")
# Clean up the text
text = _clean_text(text)
return text.strip()
except Exception as e:
print(f"Error cleaning email body: {e}")
return body
def _clean_text(text: str) -> str:
"""
Clean up the text while preserving most content.
Args:
text (str): The input text.
Returns:
str: Cleaned text.
"""
# Replace multiple newlines with a single newline
text = re.sub(r"\n+", "\n", text)
# Replace multiple spaces with a single space
text = re.sub(r"\s+", " ", text)
# Remove leading/trailing whitespace from each line
text = "\n".join(line.strip() for line in text.split("\n"))
return text