16337
181623428a
- 离岗检测冷却时间: 300s → 600s（10分钟） - 入侵检测冷却时间: 120s → 300s（5分钟） - 入侵告警级别改为高（alarm_level=3） - COS 不可用时保留本地截图文件，不再上报后删除 - 修复 cv2.imwrite 中文路径失败，改用 imencode + write_bytes - 配置订阅在 LOCAL 模式下跳过 Redis 连接 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
331 lines
11 KiB
Python
331 lines
11 KiB
Python
"""
|
||
全局配置模块
|
||
定义数据库、Redis、MQTT、推理等各项配置参数
|
||
"""
|
||
|
||
import os
|
||
from dataclasses import dataclass, field
|
||
from typing import List, Optional
|
||
|
||
|
||
@dataclass
|
||
class DatabaseConfig:
|
||
"""数据库配置类（MySQL - 云端）"""
|
||
host: str = "localhost"
|
||
port: int = 3306
|
||
username: str = "root"
|
||
password: str = ""
|
||
database: str = "edge_inference"
|
||
pool_size: int = 10
|
||
pool_recycle: int = 3600
|
||
echo: bool = False
|
||
|
||
|
||
@dataclass
|
||
class SQLiteConfig:
|
||
"""SQLite 配置（边缘侧本地存储）"""
|
||
db_path: str = "./data/security_events.db"
|
||
image_dir: str = "./data/captures"
|
||
retention_days: int = 7
|
||
wal_mode: bool = True
|
||
batch_size: int = 100
|
||
flush_interval: float = 5.0
|
||
|
||
|
||
@dataclass
|
||
class RedisConfig:
|
||
"""Redis配置类（本地 Redis，边缘侧缓存）"""
|
||
host: str = "localhost"
|
||
port: int = 6379
|
||
db: int = 0
|
||
password: Optional[str] = None
|
||
decode_responses: bool = True
|
||
max_connections: int = 50
|
||
|
||
|
||
@dataclass
|
||
class CloudRedisConfig:
|
||
"""云端 Redis 配置（三层权威模型 - 云端层）"""
|
||
host: str = "localhost"
|
||
port: int = 6379
|
||
db: int = 0
|
||
password: Optional[str] = None
|
||
decode_responses: bool = True
|
||
max_connections: int = 20
|
||
|
||
|
||
@dataclass
|
||
class LocalRedisConfig:
|
||
"""本地 Redis 配置（三层权威模型 - 边缘层缓存）"""
|
||
host: str = "localhost"
|
||
port: int = 6379
|
||
db: int = 1
|
||
password: Optional[str] = None
|
||
decode_responses: bool = True
|
||
max_connections: int = 20
|
||
|
||
|
||
@dataclass
|
||
class MQTTConfig:
|
||
"""MQTT配置类（保留配置结构，不再用于告警上报）"""
|
||
broker_host: str = "localhost"
|
||
broker_port: int = 1883
|
||
client_id: str = "edge_inference_service"
|
||
device_id: str = "edge"
|
||
username: Optional[str] = None
|
||
password: Optional[str] = None
|
||
keepalive: int = 60
|
||
qos: int = 1
|
||
reconnect_delay: int = 5
|
||
max_reconnect_attempts: int = 10
|
||
|
||
|
||
@dataclass
|
||
class COSConfig:
|
||
"""腾讯云 COS 配置"""
|
||
secret_id: str = ""
|
||
secret_key: str = ""
|
||
region: str = "ap-beijing"
|
||
bucket: str = ""
|
||
|
||
|
||
@dataclass
|
||
class AlarmUploadConfig:
|
||
"""告警上报配置"""
|
||
cloud_api_url: str = "http://localhost:8000"
|
||
edge_token: str = ""
|
||
retry_max: int = 3
|
||
retry_interval: int = 5
|
||
|
||
|
||
@dataclass
|
||
class VideoStreamConfig:
|
||
"""视频流配置类"""
|
||
default_fps: int = 5
|
||
reconnect_max_attempts: int = 5
|
||
reconnect_base_delay: float = 1.0
|
||
reconnect_max_delay: float = 60.0
|
||
frame_buffer_size: int = 30
|
||
connection_timeout: int = 10
|
||
read_timeout: int = 30
|
||
|
||
|
||
@dataclass
|
||
class InferenceConfig:
|
||
"""推理配置类"""
|
||
model_path: str = "./models/yolo11n.engine"
|
||
input_width: int = 480
|
||
input_height: int = 480
|
||
batch_size: int = 1
|
||
conf_threshold: float = 0.5
|
||
nms_threshold: float = 0.45
|
||
device_id: int = 0
|
||
fp16_mode: bool = True
|
||
|
||
|
||
# ===================== Debug / Local Sync =====================
|
||
|
||
@dataclass
|
||
class DebugConfig:
|
||
"""本地调试相关配置"""
|
||
enabled: bool = True
|
||
host: str = "127.0.0.1"
|
||
port: int = 9001
|
||
reload_signal_file: str = "./config/reload.signal"
|
||
local_config_path: str = "./config/local_config.json"
|
||
|
||
|
||
# COCO 数据集类别名称（YOLO 模型使用）
|
||
COCO_CLASS_NAMES = [
|
||
"person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat",
|
||
"traffic light", "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat",
|
||
"dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe", "backpack",
|
||
"umbrella", "handbag", "tie", "suitcase", "frisbee", "skis", "snowboard", "sports ball",
|
||
"kite", "baseball bat", "baseball glove", "skateboard", "surfboard", "tennis racket",
|
||
"bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
|
||
"sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake",
|
||
"chair", "couch", "potted plant", "bed", "dining table", "toilet", "tv", "laptop",
|
||
"mouse", "remote", "keyboard", "cell phone", "microwave", "oven", "toaster", "sink",
|
||
"refrigerator", "book", "clock", "vase", "scissors", "teddy bear", "hair drier", "toothbrush"
|
||
]
|
||
|
||
|
||
@dataclass
|
||
class CameraConfig:
|
||
"""单个摄像头配置"""
|
||
camera_id: str
|
||
rtsp_url: str
|
||
enabled: bool = True
|
||
roi_ids: List[str] = field(default_factory=list)
|
||
|
||
|
||
@dataclass
|
||
class ROIConfig:
|
||
"""ROI区域配置"""
|
||
roi_id: str
|
||
camera_id: str
|
||
roi_type: str # 'polygon' or 'rectangle'
|
||
coordinates: List[List[float]] # 多边形顶点或矩形坐标
|
||
algorithm_type: str # 'leave_post', 'intrusion', etc.
|
||
alert_threshold: int = 3 # 连续N帧触发告警
|
||
alert_cooldown: int = 300 # 告警冷却时间(秒)
|
||
|
||
|
||
class Settings:
|
||
"""全局设置单例类"""
|
||
|
||
_instance = None
|
||
_initialized = False
|
||
|
||
def __new__(cls):
|
||
if cls._instance is None:
|
||
cls._instance = super().__new__(cls)
|
||
return cls._instance
|
||
|
||
def __init__(self):
|
||
if not self._initialized:
|
||
self._load_env_vars()
|
||
self._initialized = True
|
||
|
||
def _load_env_vars(self):
|
||
"""从环境变量加载配置"""
|
||
# 加载 .env 文件（如果 python-dotenv 可用）
|
||
try:
|
||
from dotenv import load_dotenv
|
||
load_dotenv()
|
||
except ImportError:
|
||
pass
|
||
|
||
base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||
|
||
def _abs_path(path: str) -> str:
|
||
if not path:
|
||
return path
|
||
return path if os.path.isabs(path) else os.path.normpath(os.path.join(base_dir, path))
|
||
|
||
self.database = DatabaseConfig(
|
||
host=os.getenv("DB_HOST", "localhost"),
|
||
port=int(os.getenv("DB_PORT", "3306")),
|
||
username=os.getenv("DB_USERNAME", "root"),
|
||
password=os.getenv("DB_PASSWORD", ""),
|
||
database=os.getenv("DB_DATABASE", "edge_inference"),
|
||
)
|
||
|
||
self.sqlite = SQLiteConfig(
|
||
db_path=_abs_path(os.getenv("SQLITE_DB_PATH", "./data/security_events.db")),
|
||
image_dir=_abs_path(os.getenv("SQLITE_IMAGE_DIR", "./data/captures")),
|
||
retention_days=int(os.getenv("SQLITE_RETENTION_DAYS", "7")),
|
||
wal_mode=os.getenv("SQLITE_WAL_MODE", "1") == "1",
|
||
)
|
||
|
||
self.redis = RedisConfig(
|
||
host=os.getenv("REDIS_HOST", "localhost"),
|
||
port=int(os.getenv("REDIS_PORT", "6379")),
|
||
password=os.getenv("REDIS_PASSWORD"),
|
||
)
|
||
|
||
self.cloud_redis = CloudRedisConfig(
|
||
host=os.getenv("CLOUD_REDIS_HOST", "localhost"),
|
||
port=int(os.getenv("CLOUD_REDIS_PORT", "6379")),
|
||
db=int(os.getenv("CLOUD_REDIS_DB", "0")),
|
||
password=os.getenv("CLOUD_REDIS_PASSWORD"),
|
||
)
|
||
|
||
self.local_redis = LocalRedisConfig(
|
||
host=os.getenv("LOCAL_REDIS_HOST", "localhost"),
|
||
port=int(os.getenv("LOCAL_REDIS_PORT", "6379")),
|
||
db=int(os.getenv("LOCAL_REDIS_DB", "1")),
|
||
password=os.getenv("LOCAL_REDIS_PASSWORD"),
|
||
)
|
||
|
||
self.mqtt = MQTTConfig(
|
||
broker_host=os.getenv("MQTT_BROKER_HOST", "localhost"),
|
||
broker_port=int(os.getenv("MQTT_BROKER_PORT", "1883")),
|
||
client_id=os.getenv("MQTT_CLIENT_ID", "edge_inference_service"),
|
||
device_id=os.getenv("EDGE_DEVICE_ID", "edge"),
|
||
username=os.getenv("MQTT_USERNAME"),
|
||
password=os.getenv("MQTT_PASSWORD"),
|
||
)
|
||
|
||
self.cos = COSConfig(
|
||
secret_id=os.getenv("COS_SECRET_ID", ""),
|
||
secret_key=os.getenv("COS_SECRET_KEY", ""),
|
||
region=os.getenv("COS_REGION", "ap-beijing"),
|
||
bucket=os.getenv("COS_BUCKET", ""),
|
||
)
|
||
|
||
self.alarm_upload = AlarmUploadConfig(
|
||
cloud_api_url=os.getenv("CLOUD_API_URL", "http://localhost:8000"),
|
||
edge_token=os.getenv("EDGE_TOKEN", ""),
|
||
retry_max=int(os.getenv("ALARM_RETRY_MAX", "3")),
|
||
retry_interval=int(os.getenv("ALARM_RETRY_INTERVAL", "5")),
|
||
)
|
||
|
||
self.alarm_upload_enabled = os.getenv("ALARM_UPLOAD_ENABLED", "1") == "1"
|
||
|
||
self.video_stream = VideoStreamConfig(
|
||
default_fps=int(os.getenv("VIDEO_DEFAULT_FPS", "5")),
|
||
reconnect_max_attempts=int(os.getenv("VIDEO_RECONNECT_ATTEMPTS", "5")),
|
||
)
|
||
|
||
self.inference = InferenceConfig(
|
||
model_path=os.getenv("MODEL_PATH", "./models/yolo11n.engine"),
|
||
input_width=int(os.getenv("INPUT_WIDTH", "480")),
|
||
input_height=int(os.getenv("INPUT_HEIGHT", "480")),
|
||
batch_size=int(os.getenv("BATCH_SIZE", "4")),
|
||
conf_threshold=float(os.getenv("CONF_THRESHOLD", "0.5")),
|
||
nms_threshold=float(os.getenv("NMS_THRESHOLD", "0.45")),
|
||
)
|
||
|
||
self.config_sync_mode = os.getenv("CONFIG_SYNC_MODE", "LOCAL").upper()
|
||
|
||
self.debug = DebugConfig(
|
||
enabled=os.getenv("DEBUG_SERVER_ENABLED", "1") == "1",
|
||
host=os.getenv("DEBUG_SERVER_HOST", "127.0.0.1"),
|
||
port=int(os.getenv("DEBUG_SERVER_PORT", "9001")),
|
||
reload_signal_file=_abs_path(os.getenv("DEBUG_RELOAD_SIGNAL_FILE", "./config/reload.signal")),
|
||
local_config_path=_abs_path(os.getenv("LOCAL_CONFIG_PATH", "./config/local_config.json")),
|
||
)
|
||
|
||
self.log_level = os.getenv("LOG_LEVEL", "INFO")
|
||
self.log_dir = os.getenv("LOG_DIR", "./logs")
|
||
self.log_file_max_size = int(os.getenv("LOG_FILE_MAX_SIZE", "10485760"))
|
||
self.log_file_backup_count = int(os.getenv("LOG_FILE_BACKUP_COUNT", "5"))
|
||
|
||
self.working_hours = self._parse_working_hours()
|
||
|
||
# 使用 COCO 类别名称
|
||
self.class_names = COCO_CLASS_NAMES
|
||
|
||
def _parse_working_hours(self) -> List[dict]:
|
||
"""解析工作时间配置"""
|
||
working_hours_str = os.getenv("WORKING_HOURS", "")
|
||
if not working_hours_str:
|
||
return []
|
||
|
||
working_hours = []
|
||
periods = working_hours_str.split(";")
|
||
for period in periods:
|
||
try:
|
||
start, end = period.split("-")
|
||
start_h, start_m = map(int, start.split(":"))
|
||
end_h, end_m = map(int, end.split(":"))
|
||
working_hours.append({
|
||
"start": [start_h, start_m],
|
||
"end": [end_h, end_m]
|
||
})
|
||
except (ValueError, AttributeError):
|
||
continue
|
||
|
||
return working_hours
|
||
|
||
@property
|
||
def config_version(self) -> str:
|
||
"""获取配置版本号"""
|
||
return os.getenv("CONFIG_VERSION", "1.0.0")
|
||
|
||
|
||
def get_settings() -> Settings:
|
||
"""获取全局配置单例"""
|
||
return Settings()
|