"""Pipeline 工作流编排"""
from __future__ import annotations

from pathlib import Path
from typing import Any, Dict, Optional

from videoclaw.state import StateManager


class PipelineOrchestrator:
    """视频创建工作流编排器"""

    def __init__(self, project_path: Optional[Path] = None):
        self.project_path = project_path
        self.state = StateManager(project_path) if project_path else None

    def create_video(self, project_name: str, script: str) -> Dict[str, Any]:
        """执行完整的视频创建流程"""
        results = {}

        # Step 1: Analyze (由 Claude Code 完成)
        results["analyze"] = {"status": "completed", "script": script}

        # Step 2: Assets
        results["assets"] = self.run_step("assets", self._generate_assets)

        # Step 3: Storyboard
        results["storyboard"] = self.run_step("storyboard", self._generate_storyboard)

        # Step 4: I2V
        results["i2v"] = self.run_step("i2v", self._generate_video)

        # Step 5: Audio
        results["audio"] = self.run_step("audio", self._generate_audio)

        # Step 6: Merge
        results["merge"] = self.run_step("merge", self._merge_video)

        return {"status": "success", "results": results}

    def run_step(self, step_name: str, step_func) -> Dict[str, Any]:
        """运行单个步骤"""
        try:
            result = step_func()
            if self.state:
                self.state.update_step(step_name, "completed", result)
            return {"status": "success", "result": result}
        except Exception as e:
            if self.state:
                self.state.update_step(step_name, "failed", {"error": str(e)})
            return {"status": "failed", "error": str(e)}

    def _generate_assets(self):
        # TODO: 调用模型生成资产
        return {"characters": [], "scenes": []}

    def _generate_storyboard(self):
        return {"frames": []}

    def _generate_video(self):
        return {"videos": []}

    def _generate_audio(self):
        return {"dialogues": [], "sfx": [], "bgm": None}

    def _merge_video(self):
        return {"output": "final.mp4"}
