271 lines
10 KiB
Python
271 lines
10 KiB
Python
"""
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AI Box Sophon Adapter — 自定义 FastAPI 路由
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处理 TOML 无法描述的特殊端点：
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- POST /aibox/video_upload 视频上传（FORM-DATA）
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- POST /aibox/alarm_report 告警上报（JSON，手动解析）
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路由前缀: /aibox（网关自动加 /api/v1）
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"""
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import os
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import json
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import uuid
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import hashlib
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import logging
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import aiofiles
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from fastapi import APIRouter, UploadFile, File, Form, Request, Body, HTTPException
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from fastapi.responses import FileResponse
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from pydantic import ValidationError
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from chongming_request import Client
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from .models.video_models import VideoUploadResponse, VideoUploadResult
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from .models.alarm_models import (
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AlarmReportRequest,
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AlarmReportResponse,
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AlarmReportResult,
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)
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logger = logging.getLogger(__name__)
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# 自定义路由器，前缀与 config.toml 中的 router_prefix 保持一致
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# 最终路径由网关 register_routes() 加上全局 prefix (/api/v1) 组合而成
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router = APIRouter(prefix="/aibox_sophon_adapter", tags=["aibox_sophon_adapter"])
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@router.post(
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"/video_upload",
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summary="视频上传接口",
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description="盒子告警时通过 HTTP FORM-DATA 上报视频文件，返回唯一 VideoId",
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response_model=VideoUploadResponse,
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)
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async def video_upload(
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request: Request,
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BoardIp: str = Form(..., description="盒子网络地址"),
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BoardId: str = Form(..., description="盒子唯一标识"),
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TaskSession: str = Form(..., description="所属任务标识"),
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GBDeviceId: str = Form(default="", description="盒子国标设备号（不存在则为空字符串）"),
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GBTaskChnId: str = Form(default="", description="所属任务国标通道号（不存在则为空字符串）"),
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Video: UploadFile = File(..., description="视频文件"),
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) -> VideoUploadResponse:
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"""
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视频上传接口
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接收盒子告警时录制的视频文件，保存到本地存储，返回唯一 VideoId。
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上报告警报文时可携带该 VideoId 关联视频文件。
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复用网关 upload 接口的本地存储机制（data/uploads/ 目录）。
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"""
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# 生成唯一 VideoId
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video_id = uuid.uuid4().hex
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# 获取设备声明的文件大小（若 Starlette 不支持则记 -1）
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declared_size = getattr(Video, 'size', -1) or -1
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try:
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# 复用网关存储路径约定: data/uploads/<worker_type>/<uuid>/<filename>
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upload_root = request.app.state.upload_root
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worker_type = "aibox_sophon_adapter"
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object_key = f"{worker_type}/{video_id}/{Video.filename}"
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dest = os.path.join(upload_root, object_key)
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os.makedirs(os.path.dirname(dest), exist_ok=True)
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# 流式写入文件，同时计算 MD5 和总字节数
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total_bytes = 0
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md5_hash = hashlib.md5()
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async with aiofiles.open(dest, "wb") as afp:
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while chunk := await Video.read(1024 * 1024):
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await afp.write(chunk)
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total_bytes += len(chunk)
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md5_hash.update(chunk)
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file_size = os.path.getsize(dest)
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file_md5 = md5_hash.hexdigest()
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logger.info(
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f"[VideoUpload] 视频已保存: VideoId={video_id}, "
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f"BoardId={BoardId}, BoardIp={BoardIp}, "
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f"TaskSession={TaskSession}, File={Video.filename}, "
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f"declared={declared_size}, received={total_bytes}, disk={file_size}, "
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f"md5={file_md5}, Path={object_key}"
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)
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return VideoUploadResponse(
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Result=VideoUploadResult(Code=0, Desc=""),
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VideoId=video_id,
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)
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except Exception as e:
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logger.error(
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f"[VideoUpload] 上传失败: BoardId={BoardId}, "
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f"BoardIp={BoardIp}, Error={type(e).__name__}: {e}"
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)
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return VideoUploadResponse(
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Result=VideoUploadResult(Code=-1, Desc=str(e)),
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VideoId="",
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)
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@router.get(
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"/video/{video_id}",
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summary="视频下载/播放",
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description="根据 VideoId 下载或流式播放告警关联视频",
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)
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async def video_download(
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request: Request,
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video_id: str,
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) -> FileResponse:
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"""
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视频播放端点
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根据 video_upload 返回的 VideoId 查找并返回视频文件。
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支持浏览器内嵌播放（Content-Disposition: inline）。
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"""
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upload_root = request.app.state.upload_root
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worker_type = "aibox_sophon_adapter"
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# 在 uploads 目录下查找匹配的视频文件
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video_dir = os.path.join(upload_root, worker_type, video_id)
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if not os.path.isdir(video_dir):
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raise HTTPException(status_code=404, detail=f"视频不存在: {video_id}")
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# 取目录下第一个文件作为视频（通常只有一个）
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files = os.listdir(video_dir)
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if not files:
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raise HTTPException(status_code=404, detail=f"视频目录为空: {video_id}")
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video_path = os.path.join(video_dir, files[0])
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if not os.path.isfile(video_path):
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raise HTTPException(status_code=404, detail=f"视频文件不存在: {files[0]}")
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return FileResponse(
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video_path,
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media_type="video/mp4",
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headers={"Content-Disposition": "inline"},
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)
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@router.post(
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"/alarm_report",
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summary="告警上报接口",
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description="接收盒子告警报文（JSON），所有字段已在 OpenAPI 中声明，未知字段自动保留",
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response_model=AlarmReportResponse,
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)
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async def alarm_report(
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request: Request,
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payload: dict = Body(..., description="告警报文 JSON 对象"),
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) -> AlarmReportResponse:
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"""
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告警上报接口
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盒子检测到违规事件后，先上传视频再上报 JSON 告警报文。
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使用手动 Pydantic 验证以便在验证失败时记录完整请求体，便于排查。
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业务处理：
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1. 手动 Pydantic 验证基础字段类型（验证失败时记录原始 JSON）
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2. model_dump() 获取完整 dict（含额外字段）
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3. 提取关键索引字段存入 alarm_record 表
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4. 完整报文 JSON 字符串存入 alarm_data
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返回格式：{"Result": {"Code": 0, "Desc": ""}}
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仅当 HTTP 200 + Code 非 0 时，盒子认为上报失败。
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"""
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zenoh_session = request.app.state.zenoh_session
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# 手动 Pydantic 验证，失败时记录完整原始请求体
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try:
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body = AlarmReportRequest.model_validate(payload)
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except ValidationError as e:
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logger.error(
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f"[AlarmReport] Pydantic 验证失败:\n"
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f" 错误: {e.errors()}\n"
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f" 请求体: {json.dumps(payload, ensure_ascii=False)[:3000]}"
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)
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raise HTTPException(status_code=422, detail=e.errors())
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# 获取完整报文（含 extra 字段，排除 None 值以生成整洁 JSON）
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full_data = body.model_dump(exclude_none=True)
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async with Client(session=zenoh_session) as client:
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try:
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result = await client.call(
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worker_type="doubao",
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subject="doubao.analyze",
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payload={
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"image_base64": full_data.get("ImageData", ""),
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"prompt": full_data.get("Summary", ""),
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},
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timeout=30.0,
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retries=1
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)
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analysis = result.get("result", "")
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error = result.get("error", "")
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if error:
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logger.warning(f"Doubao 分析失败: {error}")
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else:
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logger.info(f"Doubao 分析结果: {analysis}")
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except Exception as e:
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logger.error(f"Doubao 分析调用失败: {type(e).__name__}: {e}")
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board_id = full_data.get("BoardId", "")
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board_ip = full_data.get("BoardIp", "")
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alarm_id = full_data.get("AlarmId") or full_data.get("UniqueId", "")
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summary = full_data.get("Summary", "")
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task_session = full_data.get("TaskSession", "")
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video_file = full_data.get("VideoFile", "")
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media = full_data.get("Media", {})
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media_name = media.get("MediaName", "") if isinstance(media, dict) else ""
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alarm_time = full_data.get("Time", "")
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alarm_timestamp = full_data.get("TimeStamp", 0)
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alarm_data_str = json.dumps(full_data, ensure_ascii=False)
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try:
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from .global_var import db
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if db is not None:
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async with db.get_session() as session:
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from .models.orm import AlarmRecord
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from sqlalchemy import select
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stmt = select(AlarmRecord).where(AlarmRecord.alarm_id == alarm_id) # type: ignore
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result = await session.execute(stmt)
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existing = result.scalar_one_or_none()
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if existing is None:
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record = AlarmRecord(
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board_id=board_id,
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board_ip=board_ip,
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alarm_id=alarm_id,
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summary=summary,
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task_session=task_session,
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media_name=media_name,
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video_file=video_file,
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alarm_time=alarm_time,
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alarm_timestamp=alarm_timestamp,
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alarm_data=alarm_data_str,
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)
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session.add(record)
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await session.commit()
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logger.info(
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f"[AlarmReport] 新告警: AlarmId={alarm_id}, "
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f"BoardId={board_id}, Summary={summary}, "
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f"Media={media_name}, VideoFile={video_file}"
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)
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# 裁剪告警记录，保留最新 N 条
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from .global_var import alarm_max_records, upload_root as _upload_root
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if alarm_max_records > 0:
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from .alarm_trim import trim_alarm_records
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await trim_alarm_records(session, _upload_root, alarm_max_records)
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else:
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logger.warning(
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f"[AlarmReport] 重复告警，已忽略: AlarmId={alarm_id}"
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)
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except Exception as e:
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logger.error(f"[AlarmReport] 数据库写入失败: {e}")
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return AlarmReportResponse(
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Result=AlarmReportResult(Code=0, Desc="")
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)
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