AI实验室后端

This commit is contained in:
BBIT-Kai
2026-02-04 13:58:18 +08:00
parent f9536dd0b4
commit 646e312a4c
24 changed files with 962 additions and 86 deletions
+21 -7
View File
@@ -5,10 +5,13 @@ import config.minIO as minIO
import db.postgres as pg
from agent.licenseImageAgent import get_license_response
from agent.vehicleImageAgent import get_vehicle_response
from config.minIO import minio_client
from config.minIO import minio_client, get_temp_url
from config.yolo import YOLOSingleton
from db.postgres import get_dept_id_by_iot_user_name, get_dept_ids_by_dept_id
from db.postgres.sentinel import update_sentinel_record
from db.postgres import (
get_dept_id_by_iot_user_name,
get_dept_ids_by_dept_id,
)
from db.postgres.sentinel import update_sentinel_record, get_sentinel_record_by_id
from llm.ticketLLM import *
from llm.ticketLLMv2 import get_ticket_response_v2
from models.SentinelRecordRequest import SentinelRecordRequest
@@ -173,7 +176,7 @@ def process_silkworm_cocoon_image(
)
return {
"resolution": resolution,
"size": size_kb,
"size": size_kb / 1024,
"cocoon_count": results_json.get("total_objects"),
"max_confidence": results_json.get("max_confidence"),
"min_confidence": results_json.get("min_confidence"),
@@ -182,6 +185,7 @@ def process_silkworm_cocoon_image(
"inference_time_ms": speed_json.get("inference"),
"postprocess_time_ms": speed_json.get("postprocess"),
"details": results_json.get("class_counts"),
"imageUrl": get_temp_url(bucket_name, "ai/" + after_object_name),
}
@@ -190,14 +194,18 @@ async def process_vehicle_animal_image(
):
# 通过设备id获得组织id
dept_id = get_dept_id_by_iot_user_name(data.DeviceId)
# 得到动物类型
oss_url = minIO.get_temp_url("sentinel", "vehicle_image/" + data.VehicleImage)
analysis_result = await get_vehicle_response(oss_url)
livestock_type = analysis_result.get("livestock_type", "")
remark = analysis_result.get("remark", "")
# 保存到数据库
update_sentinel_record(data.Id, livestock_type, remark, dept_id)
# 可以通知的部门ids
available_departments = get_dept_ids_by_dept_id(dept_id)
# 通知控制界面
await ws_manager.noticeSentinel(
{
"content": f"载有{livestock_type}的车辆即将进入关卡,请准备检查",
@@ -205,5 +213,11 @@ async def process_vehicle_animal_image(
},
available_departments,
)
# 保存到数据库
return update_sentinel_record(data.Id, livestock_type, remark, dept_id)
# 通知大屏界面
await ws_manager.noticeSentinelMonitorStatus(
{
"content": get_sentinel_record_by_id(data.Id),
"type": "vehicle_alert",
},
available_departments,
)