后端初始化结构

This commit is contained in:
zly
2025-11-22 21:29:00 +08:00
parent 9fa602f21b
commit e68ad06829
26 changed files with 1350 additions and 0 deletions

View File

@@ -0,0 +1,112 @@
"""
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
}