import uuid
from datetime import datetime

from pydantic import BaseModel

from api.schemas.decision import DecisionRead
from api.schemas.domain import DomainSummary
from api.schemas.progress_event import ProgressEventRead
from api.schemas.task import TaskRead
from api.schemas.topic import TopicWithWorkstreams
from api.schemas.workstream import WorkstreamWithDeps


class TopicTotals(BaseModel):
    active: int = 0
    paused: int = 0
    archived: int = 0
    total: int = 0


class WorkstreamTotals(BaseModel):
    active: int = 0
    blocked: int = 0
    completed: int = 0
    archived: int = 0
    total: int = 0


class TaskTotals(BaseModel):
    todo: int = 0
    in_progress: int = 0
    blocked: int = 0
    done: int = 0
    cancelled: int = 0
    total: int = 0


class DecisionTotals(BaseModel):
    open: int = 0
    resolved: int = 0
    escalated: int = 0
    superseded: int = 0
    total: int = 0


class Totals(BaseModel):
    topics: TopicTotals
    workstreams: WorkstreamTotals
    tasks: TaskTotals
    decisions: DecisionTotals


class NextStep(BaseModel):
    """A derived suggestion pointing to where work should happen next.

    Suggestions are never persisted — they are computed on demand from
    current hub state: recently resolved decisions, newly unblocked tasks,
    cleared dependencies.
    """
    type: str          # unblocked_task | resolved_decision | dependency_cleared
    domain: str | None = None
    workstream_id: uuid.UUID | None = None
    workstream_title: str | None = None
    workstream_slug: str | None = None
    task_id: uuid.UUID | None = None
    task_title: str | None = None
    message: str       # plain-language explanation


class StateSummary(BaseModel):
    generated_at: datetime
    totals: Totals
    topics: list[TopicWithWorkstreams]
    blocking_decisions: list[DecisionRead]
    blocked_tasks: list[TaskRead]
    recent_progress: list[ProgressEventRead]
    open_workstreams: list[WorkstreamWithDeps]
    next_steps: list[NextStep] = []
    domains: list[DomainSummary] = []
    contribution_counts: dict[str, int] = {}
    licence_risk_count: int = 0
    open_capability_requests: int = 0