from typing import List
from models import Ticket

class TrackDAG:
    def __init__(self, tickets: List[Ticket]):
        self.tickets = tickets
        self.ticket_map = {t.id: t for t in tickets}

    def get_ready_tasks(self) -> List[Ticket]:
        """Returns tickets that are 'todo' and whose dependencies are all 'completed'."""
        ready = []
        for ticket in self.tickets:
            if ticket.status == 'todo':
                # Check if all dependencies exist and are completed
                all_done = True
                for dep_id in ticket.depends_on:
                    dep = self.ticket_map.get(dep_id)
                    if not dep or dep.status != 'completed':
                        all_done = False
                        break
                if all_done:
                    ready.append(ticket)
        return ready

    def has_cycle(self) -> bool:
        """Returns True if there's a dependency cycle."""
        visited = set()
        rec_stack = set()

        def is_cyclic(ticket_id):
            if ticket_id in rec_stack:
                return True
            if ticket_id in visited:
                return False

            visited.add(ticket_id)
            rec_stack.add(ticket_id)

            ticket = self.ticket_map.get(ticket_id)
            if ticket:
                for neighbor in ticket.depends_on:
                    if is_cyclic(neighbor):
                        return True

            rec_stack.remove(ticket_id)
            return False

        for ticket in self.tickets:
            if ticket.id not in visited:
                if is_cyclic(ticket.id):
                    return True
        return False

    def topological_sort(self) -> List[str]:
        """
        Returns a list of ticket IDs in topological order.
        Raises ValueError if a cycle is detected.
        """
        if self.has_cycle():
            raise ValueError("Dependency cycle detected")

        visited = set()
        stack = []

        def visit(ticket_id):
            if ticket_id in visited:
                return
            visited.add(ticket_id)
            ticket = self.ticket_map.get(ticket_id)
            if ticket:
                for dep_id in ticket.depends_on:
                    visit(dep_id)
            stack.append(ticket_id)

        for ticket in self.tickets:
            visit(ticket.id)

        return stack

class ExecutionEngine:
    def __init__(self, dag: TrackDAG, auto_queue: bool = False):
        self.dag = dag
        self.auto_queue = auto_queue

    def tick(self) -> List[Ticket]:
        """
        Returns a list of tasks that are currently 'ready' to be executed.
        A task is ready if its status is 'todo' and all its dependencies are 'completed'.
        If auto_queue=True, it will automatically mark 'ready' tasks as 'in-progress',
        unless step_mode=True is set on the task.
        """
        ready = self.dag.get_ready_tasks()
        
        if self.auto_queue:
            for ticket in ready:
                if not ticket.step_mode:
                    ticket.status = "in_progress"
        
        return ready

    def approve_task(self, task_id: str):
        """
        Manually approves a task to move it to 'in_progress'.
        Typically used for tasks with step_mode=True or when auto_queue is False.
        """
        ticket = self.dag.ticket_map.get(task_id)
        if ticket and ticket.status == "todo":
            # Check if dependencies are met first
            all_done = True
            for dep_id in ticket.depends_on:
                dep = self.dag.ticket_map.get(dep_id)
                if not dep or dep.status != "completed":
                    all_done = False
                    break
            
            if all_done:
                ticket.status = "in_progress"

    def update_task_status(self, task_id: str, status: str):
        """
        Updates the status of a specific task within the DAG.
        """
        ticket = self.dag.ticket_map.get(task_id)
        if ticket:
            ticket.status = status