This PR adds four new tools to the Google ToolKit * `create_event` * `list_events` * `update_event` * `delete_event` I also improved an error log when tools are being registered by the actor. This PR also sneaks in an eval for gmail Here is a sample conversation that shows the tools and their capabilities and limitiations: 
227 lines
6.7 KiB
Python
227 lines
6.7 KiB
Python
import datetime
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import re
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from base64 import urlsafe_b64decode
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from enum import Enum
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from typing import Any, Optional
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from bs4 import BeautifulSoup
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from arcade_google.tools.models import Day, TimeSlot
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class DateRange(Enum):
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TODAY = "today"
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YESTERDAY = "yesterday"
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LAST_7_DAYS = "last_7_days"
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LAST_30_DAYS = "last_30_days"
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THIS_MONTH = "this_month"
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LAST_MONTH = "last_month"
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THIS_YEAR = "this_year"
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def to_date_query(self):
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today = datetime.datetime.now()
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result = "after:"
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comparison_date = today
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if self == DateRange.YESTERDAY:
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comparison_date = today - datetime.timedelta(days=1)
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elif self == DateRange.LAST_7_DAYS:
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comparison_date = today - datetime.timedelta(days=7)
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elif self == DateRange.LAST_30_DAYS:
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comparison_date = today - datetime.timedelta(days=30)
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elif self == DateRange.THIS_MONTH:
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comparison_date = today.replace(day=1)
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elif self == DateRange.LAST_MONTH:
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comparison_date = (today.replace(day=1) - datetime.timedelta(days=1)).replace(day=1)
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elif self == DateRange.THIS_YEAR:
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comparison_date = today.replace(month=1, day=1)
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elif self == DateRange.LAST_MONTH:
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comparison_date = (today.replace(month=1, day=1) - datetime.timedelta(days=1)).replace(
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month=1, day=1
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)
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return result + comparison_date.strftime("%Y/%m/%d")
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def parse_email(email_data: dict[str, Any]) -> Optional[dict[str, str]]:
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"""
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Parse email data and extract relevant information.
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Args:
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email_data (Dict[str, Any]): Raw email data from Gmail API.
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Returns:
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Optional[Dict[str, str]]: Parsed email details or None if parsing fails.
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"""
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try:
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payload = email_data["payload"]
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headers = {d["name"].lower(): d["value"] for d in payload["headers"]}
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body_data = _get_email_body(payload)
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return {
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"id": email_data.get("id", ""),
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"from": headers.get("from", ""),
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"date": headers.get("date", ""),
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"subject": headers.get("subject", "No subject"),
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"body": _clean_email_body(body_data) if body_data else "",
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}
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except Exception as e:
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print(f"Error parsing email {email_data.get('id', 'unknown')}: {e}")
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return None
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def parse_draft_email(draft_email_data: dict[str, Any]) -> Optional[dict[str, str]]:
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"""
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Parse draft email data and extract relevant information.
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Args:
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draft_email_data (Dict[str, Any]): Raw draft email data from Gmail API.
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Returns:
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Optional[Dict[str, str]]: Parsed draft email details or None if parsing fails.
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"""
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try:
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message = draft_email_data["message"]
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payload = message["payload"]
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headers = {d["name"].lower(): d["value"] for d in payload["headers"]}
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body_data = _get_email_body(payload)
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return {
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"id": draft_email_data.get("id", ""),
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"from": headers.get("from", ""),
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"date": headers.get("internaldate", ""),
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"subject": headers.get("subject", "No subject"),
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"body": _clean_email_body(body_data) if body_data else "",
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}
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except Exception as e:
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print(f"Error parsing draft email {draft_email_data.get('id', 'unknown')}: {e}")
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return None
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def get_draft_url(draft_id):
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return f"https://mail.google.com/mail/u/0/#drafts/{draft_id}"
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def get_sent_email_url(sent_email_id):
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return f"https://mail.google.com/mail/u/0/#sent/{sent_email_id}"
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def get_email_in_trash_url(email_id):
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return f"https://mail.google.com/mail/u/0/#trash/{email_id}"
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def _get_email_body(payload: dict[str, Any]) -> Optional[str]:
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"""
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Extract email body from payload.
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Args:
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payload (Dict[str, Any]): Email payload data.
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Returns:
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Optional[str]: Decoded email body or None if not found.
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"""
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if "body" in payload and payload["body"].get("data"):
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return urlsafe_b64decode(payload["body"]["data"]).decode()
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for part in payload.get("parts", []):
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if part.get("mimeType") == "text/plain" and "data" in part["body"]:
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return urlsafe_b64decode(part["body"]["data"]).decode()
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return None
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def _clean_email_body(body: str) -> str:
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"""
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Remove HTML tags and clean up email body text while preserving most content.
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Args:
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body (str): The raw email body text.
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Returns:
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str: Cleaned email body text.
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"""
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try:
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# Remove HTML tags using BeautifulSoup
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soup = BeautifulSoup(body, "html.parser")
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text = soup.get_text(separator=" ")
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# Clean up the text
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text = _clean_text(text)
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return text.strip()
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except Exception as e:
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print(f"Error cleaning email body: {e}")
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return body
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def _clean_text(text: str) -> str:
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"""
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Clean up the text while preserving most content.
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Args:
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text (str): The input text.
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Returns:
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str: Cleaned text.
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"""
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# Replace multiple newlines with a single newline
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text = re.sub(r"\n+", "\n", text)
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# Replace multiple spaces with a single space
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text = re.sub(r"\s+", " ", text)
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# Remove leading/trailing whitespace from each line
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text = "\n".join(line.strip() for line in text.split("\n"))
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return text
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def _update_datetime(day: Day | None, time: TimeSlot | None, time_zone: str) -> dict | None:
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"""
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Update the datetime for a Google Calendar event.
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Args:
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day (Day | None): The day of the event.
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time (TimeSlot | None): The time of the event.
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time_zone (str): The time zone of the event.
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Returns:
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dict | None: The updated datetime for the event.
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"""
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if day and time:
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dt = datetime.combine(day.to_date(time_zone), time.to_time())
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return {"dateTime": dt.isoformat(), "timeZone": time_zone}
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return None
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def build_query_string(sender, recipient, subject, body, date_range):
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"""
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Helper function to build a query string for Gmail list_emails_by_header tool.
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"""
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query = []
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if sender:
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query.append(f"from:{sender}")
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if recipient:
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query.append(f"to:{recipient}")
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if subject:
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query.append(f"subject:{subject}")
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if body:
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query.append(body)
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if date_range:
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query.append(date_range.to_date_query())
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return " ".join(query)
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def fetch_messages(service, query_string, limit):
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"""
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Helper function to fetch messages from Gmail API for the list_emails_by_header tool.
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"""
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response = (
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service.users()
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.messages()
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.list(userId="me", q=query_string, maxResults=limit or 100)
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.execute()
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)
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return response.get("messages", [])
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