"""
智能分析 API
"""
from typing import Optional
from fastapi import APIRouter, BackgroundTasks, HTTPException
from pydantic import BaseModel

router = APIRouter()


class QuestionRequest(BaseModel):
    """智能问答请求"""
    question: str
    context: Optional[str] = None


class GeneMiningRequest(BaseModel):
    """基因挖掘请求"""
    sequence: str
    algorithm: str = "blast"
    parameters: Optional[dict] = None


class StrainEvaluationRequest(BaseModel):
    """菌株评估请求"""
    strain_id: str
    evaluation_type: str  # growth/resistance/etc


@router.post("/qa")
async def intelligent_qa(request: QuestionRequest):
    """
    智能问答
    
    基于知识图谱的智能问答系统
    """
    # TODO: 集成 AI 模型进行问答
    return {
        "question": request.question,
        "answer": "This is a placeholder answer. AI integration pending.",
        "confidence": 0.0
    }


@router.post("/gene-mining")
async def gene_mining(
    background_tasks: BackgroundTasks,
    request: GeneMiningRequest
):
    """
    基因挖掘
    
    通过序列比对等方法挖掘功能基因
    """
    # TODO: 实现基因挖掘算法
    # background_tasks.add_task(run_gene_mining, request)
    
    return {
        "status": "processing",
        "task_id": "task_123",
        "message": "Gene mining task started"
    }


@router.post("/strain-evaluation")
async def strain_evaluation(
    background_tasks: BackgroundTasks,
    request: StrainEvaluationRequest
):
    """
    菌株评估
    
    评估菌株的各项指标和应用潜力
    """
    # TODO: 实现菌株评估逻辑
    return {
        "status": "processing",
        "task_id": "task_456",
        "message": "Strain evaluation started"
    }


@router.get("/knowledge-graph")
async def get_knowledge_graph(
    entity: Optional[str] = None,
    relationship: Optional[str] = None,
):
    """
    知识图谱查询
    
    查询微生物知识图谱
    """
    # TODO: 实现知识图谱查询
    return {
        "nodes": [],
        "edges": [],
        "message": "Knowledge graph feature pending"
    }


@router.get("/task/{task_id}")
async def get_analysis_task_status(task_id: str):
    """
    查询分析任务状态
    """
    # TODO: 从数据库或缓存查询任务状态
    return {
        "task_id": task_id,
        "status": "completed",
        "progress": 100,
        "result": None
    }