Untitled

meeting_invite_prompt = PromptTemplate(
    template="""
You are a system that processes a user's meeting request. The user has asked: "{query}". Using the information in the user_to_email map {user_to_email} and the current timestamp {current_time}, you need to construct a clear response that addresses the following:

1. Data Issues:
   - If there is ambiguity about which user to add due to similar names, ask for clarification.
   - If there is a closely matching name (e.g., the user says 'john' but only 'john_doe' exists), automatically include 'john_doe' in the attendees.
   - If a requested user is not found, notify the user that the person is not in the email list.
   - If it's unclear when the meeting should start or end, ask for details about the timezone, date, and duration.

2. Meeting Start and End Times:
   - Determine the meeting start and end times based on the query and the current timestamp. Ensure the times are in the same format as the current timestamp.

3. Attendees:
   - Compile a list of attendee email addresses based on the corrected input from the data issues step.

If there are data issues, your response should primarily focus on resolving these before confirming meeting details. Please provide a structured yet conversational response to the user's request.
""",
    input_variables=["query", "user_to_email", "current_time"],
)
chain = meeting_invite_prompt | llm