tasks.py

from crewai import Task

def create_tasks(profile_manager, availability_checker, optimization_coordinator, participants, target_date):
    # Format participants list for description
    participants_str = ", ".join([f"{p['name']} ({p['location']})" for p in participants])
    
    task_timezone = Task(
        description=(
            f"Map the locations of the following participants to standard IANA timezone database strings: {participants_str}. "
            "Use the Get Participant Timezone Tool for each participant. Return a JSON mapping of participant name to timezone."
        ),
        expected_output=(
            'A JSON string mapping participant names to their resolved IANA timezone strings, e.g. '
            '{"Alice": "America/New_York", "Bob": "Europe/London"}'
        ),
        agent=profile_manager
    )
    
    task_availability = Task(
        description=(
            "Retrieve the schedules (working hours and busy slots) for each participant. "
            "Use the Get Mock Calendar Events Tool for each participant, passing their resolved timezone as `timezone_str` "
            f"and the target date `{target_date}` as `target_date`. "
            "Compile all participant details into a single structured JSON object. "
            "The keys of the JSON should be the participant names, and the values should be their calendar details."
        ),
        expected_output=(
            "A JSON string containing all participant calendar data: timezone, working hours, and busy slots, e.g. "
            '{"Alice": {"timezone": "America/New_York", "working_hours": {"start": "09:00", "end": "17:00"}, "busy_slots": [...]}}'
        ),
        agent=availability_checker
    )
    
    task_optimization = Task(
        description=(
            f"Analyze the compiled participant schedules and calculate the optimal 45-minute meeting window "
            f"for the target date {target_date}. Use the Calculate Meeting Window Tool. "
            "Pass the compiled schedules JSON into the tool. "
            "Print the final schedule showing the localized perspective of each user (e.g. Alice, Bob, Charlie, David, Eve)."
        ),
        expected_output=(
            "A comprehensive localized meeting report detailing the selected window in UTC, localized times for Alice, Bob, "
            "Charlie, David, and Eve, and a summary explaining any disruptions or compromises."
        ),
        agent=optimization_coordinator
    )
    
    return task_timezone, task_availability, task_optimization