from datetime import datetime
from typing import TYPE_CHECKING

from core_domain import WorkflowConfigContract
from core_shared import JSONValue
from pydantic import BaseModel, Field

from app.application.designer import (
    DiagnosticSeverity,
    WorkflowDebugPlan,
    WorkflowDiagnostic,
    WorkflowEdgeInspection,
    WorkflowInspection,
    WorkflowNodeInspection,
)

if TYPE_CHECKING:
    from app.db.models import WorkflowDefinitionModel, WorkflowConfig


class WorkflowCreateRequest(BaseModel):
    app_id: str
    code: str
    name: str
    workflow_type: str = "main"


class WorkflowDefinitionResponse(BaseModel):
    id: str
    app_id: str
    code: str
    name: str
    workflow_type: str
    created_time: datetime

    @classmethod
    def from_entity(cls, entity: "WorkflowDefinitionModel") -> "WorkflowDefinitionResponse":
        return cls.model_validate(entity, from_attributes=True)


class WorkflowListRequest(BaseModel):
    app_id: str | None = None


class WorkflowConfigCreateRequest(BaseModel):
    workflow_id: str
    dsl_json: dict[str, JSONValue] | None = None
    compiled_plan_json: dict[str, JSONValue] | None = None
    checksum: str | None = None


class WorkflowConfigResponse(WorkflowConfigContract):

    @classmethod
    def from_entity(cls, entity: "WorkflowConfig") -> "WorkflowConfigResponse":
        return cls.model_validate(entity, from_attributes=True)


class WorkflowConfigListRequest(BaseModel):
    workflow_id: str


class WorkflowConfigDetailRequest(BaseModel):
    workflow_config_id: str


class WorkflowDesignerValidateRequest(BaseModel):
    dsl_json: dict[str, JSONValue]


class WorkflowDesignerDiagnosticResponse(BaseModel):
    severity: DiagnosticSeverity
    code: str
    message: str
    node_id: str | None = None
    edge_index: int | None = None

    @classmethod
    def from_inspection(cls, item: WorkflowDiagnostic) -> "WorkflowDesignerDiagnosticResponse":
        return cls(
            severity=item.severity,
            code=item.code,
            message=item.message,
            node_id=item.node_id,
            edge_index=item.edge_index)


class WorkflowDesignerNodeResponse(BaseModel):
    id: str
    type: str
    name: str | None = None
    incoming_count: int
    outgoing_count: int
    reachable: bool

    @classmethod
    def from_inspection(cls, item: WorkflowNodeInspection) -> "WorkflowDesignerNodeResponse":
        return cls(
            id=item.id,
            type=item.type,
            name=item.name,
            incoming_count=item.incoming_count,
            outgoing_count=item.outgoing_count,
            reachable=item.reachable)


class WorkflowDesignerEdgeResponse(BaseModel):
    source: str
    target: str
    condition: str | None = None
    valid_source: bool
    valid_target: bool

    @classmethod
    def from_inspection(cls, item: WorkflowEdgeInspection) -> "WorkflowDesignerEdgeResponse":
        return cls(
            source=item.source,
            target=item.target,
            condition=item.condition,
            valid_source=item.valid_source,
            valid_target=item.valid_target)


class WorkflowDesignerValidateResponse(BaseModel):
    valid: bool
    diagnostics: list[WorkflowDesignerDiagnosticResponse]
    node_count: int
    edge_count: int
    nodes: list[WorkflowDesignerNodeResponse]
    edges: list[WorkflowDesignerEdgeResponse]
    entry_node_ids: list[str]
    terminal_node_ids: list[str]
    isolated_node_ids: list[str]
    unreachable_node_ids: list[str]
    cycle_detected: bool
    normalized_dsl_json: dict[str, JSONValue] | None = None

    @classmethod
    def from_inspection(cls, inspection: WorkflowInspection) -> "WorkflowDesignerValidateResponse":
        normalized_dsl_json: dict[str, JSONValue] | None = None
        if inspection.workflow is not None:
            normalized_dsl_json = inspection.workflow.model_dump(mode="json")
        return cls(
            valid=inspection.valid,
            diagnostics=[
                WorkflowDesignerDiagnosticResponse.from_inspection(item)
                for item in inspection.diagnostics
            ],
            node_count=len(inspection.nodes),
            edge_count=len(inspection.edges),
            nodes=[WorkflowDesignerNodeResponse.from_inspection(item) for item in inspection.nodes],
            edges=[WorkflowDesignerEdgeResponse.from_inspection(item) for item in inspection.edges],
            entry_node_ids=inspection.entry_node_ids,
            terminal_node_ids=inspection.terminal_node_ids,
            isolated_node_ids=inspection.isolated_node_ids,
            unreachable_node_ids=inspection.unreachable_node_ids,
            cycle_detected=inspection.cycle_detected,
            normalized_dsl_json=normalized_dsl_json)


class WorkflowDebuggerPlanRequest(BaseModel):
    dsl_json: dict[str, JSONValue]
    max_preview_steps: int = Field(default=50, ge=1, le=500)


class WorkflowConfigDebuggerPlanRequest(BaseModel):
    workflow_config_id: str
    max_preview_steps: int = Field(default=50, ge=1, le=500)


class WorkflowDebuggerStepResponse(BaseModel):
    step_index: int
    node_id: str
    node_type: str
    name: str | None = None
    next_node_ids: list[str]


class WorkflowDebuggerPlanResponse(WorkflowDesignerValidateResponse):
    execution_preview: list[WorkflowDebuggerStepResponse]
    max_preview_steps: int
    truncated: bool

    @classmethod
    def from_plan(cls, plan: WorkflowDebugPlan) -> "WorkflowDebuggerPlanResponse":
        base = WorkflowDesignerValidateResponse.from_inspection(plan.inspection)
        return cls(
            **base.model_dump(),
            execution_preview=[
                WorkflowDebuggerStepResponse(
                    step_index=item.step_index,
                    node_id=item.node_id,
                    node_type=item.node_type,
                    name=item.name,
                    next_node_ids=item.next_node_ids)
                for item in plan.execution_preview
            ],
            max_preview_steps=plan.max_preview_steps,
            truncated=plan.truncated)