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slack_bot.py

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我来帮你设计一个AI小龙虾养殖系统的Slack集成维护方案,这个系统将监控养殖环境并提供实时告警、数据分析和远程控制功能。

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系统架构设计

Slack应用配置

from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
from slack_bolt import App
from slack_bolt.adapter.flask import SlackRequestHandler
# 初始化Slack应用
slack_app = App(
    token=os.environ.get("SLACK_BOT_TOKEN"),
    signing_secret=os.environ.get("SLACK_SIGNING_SECRET")
)
handler = SlackRequestHandler(slack_app)
# 定义频道
CHANNELS = {
    "alerts": "crawfish-alerts",      # 告警通知
    "daily": "crawfish-daily",        # 日常报告
    "commands": "crawfish-commands",  # 指令处理
}

核心监控模块

# monitoring.py
import time
import json
from datetime import datetime
from dataclasses import dataclass
from typing import Dict, List, Optional
@dataclass
class WaterQuality:
    temperature: float  # 水温(℃)
    ph: float           # pH值
    dissolved_oxygen: float  # 溶解氧(mg/L)
    ammonia: float      # 氨氮浓度(mg/L)
    salinity: float     # 盐度(‰)
@dataclass
class CrawfishStatus:
    size: float         # 平均大小(cm)
    weight: float       # 平均重量(g)
    activity: float     # 活跃度指数(0-1)
    mortality_rate: float  # 死亡率
class AI_CrawfishMonitor:
    def __init__(self, slack_client):
        self.slack = slack_client
        self.thresholds = {
            "temperature": {"min": 18, "max": 30},
            "ph": {"min": 6.5, "max": 8.5},
            "dissolved_oxygen": {"min": 5.0},
            "ammonia": {"max": 0.2},
        }
        self.alert_history = []
    def check_parameters(self, water_quality: WaterQuality) -> List[Dict]:
        """检查水质参数是否异常"""
        alerts = []
        if water_quality.temperature < self.thresholds["temperature"]["min"]:
            alerts.append({
                "level": "WARNING",
                "parameter": "temperature",
                "value": water_quality.temperature,
                "message": "水温过低，可能影响小龙虾生长和蜕壳"
            })
        if water_quality.ammonia > self.thresholds["ammonia"]["max"]:
            alerts.append({
                "level": "CRITICAL",
                "parameter": "ammonia",
                "value": water_quality.ammonia,
                "message": "氨氮浓度超标，需要立即换水"
            })
        return alerts
    def send_alert_to_slack(self, alert: Dict):
        """发送告警到Slack"""
        color = {
            "CRITICAL": "#FF0000",
            "WARNING": "#FFA500",
            "INFO": "#36A64F"
        }.get(alert["level"], "#808080")
        message = {
            "blocks": [
                {
                    "type": "header",
                    "text": {
                        "type": "plain_text",
                        "text": f"🚨 {alert['level']} 告警",
                        "emoji": True
                    }
                },
                {
                    "type": "section",
                    "fields": [
                        {
                            "type": "mrkdwn",
                            "text": f"*参数:* {alert['parameter']}"
                        },
                        {
                            "type": "mrkdwn",
                            "text": f"*数值:* {alert['value']}"
                        }
                    ]
                },
                {
                    "type": "section",
                    "text": {
                        "type": "plain_text",
                        "text": alert["message"],
                        "emoji": True
                    }
                },
                {
                    "type": "context",
                    "elements": [
                        {
                            "type": "mrkdwn",
                            "text": f"*时间:* {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
                        }
                    ]
                }
            ]
        }
        try:
            self.slack.chat_postMessage(
                channel=CHANNELS["alerts"],
                blocks=message["blocks"]
            )
        except SlackApiError as e:
            print(f"Error sending alert: {e}")

Slack命令处理器

# commands.py
from flask import Flask, request, jsonify
import pandas as pd
import matplotlib.pyplot as plt
from io import BytesIO
import base64
app = Flask(__name__)
@slack_app.command("/crawfish-status")
def handle_status_command(ack, body, logger):
    """处理状态查询命令"""
    ack()
    # 获取当前状态
    water_data = get_current_water_quality()
    crawfish_data = get_current_crawfish_status()
    response = {
        "response_type": "in_channel",
        "blocks": [
            {
                "type": "header",
                "text": {
                    "type": "plain_text",
                    "text": "🦞 小龙虾养殖系统状态报告",
                    "emoji": True
                }
            },
            {
                "type": "section",
                "text": {
                    "type": "mrkdwn",
                    "text": f"*养殖池状态*\n更新时间: {datetime.now().strftime('%Y-%m-%d %H:%M')}"
                }
            },
            {
                "type": "divider"
            },
            {
                "type": "section",
                "fields": [
                    {
                        "type": "mrkdwn",
                        "text": f"*🌡️ 水温:* {water_data.temperature}°C"
                    },
                    {
                        "type": "mrkdwn",
                        "text": f"*🧪 pH值:* {water_data.ph}"
                    },
                    {
                        "type": "mrkdwn",
                        "text": f"*💧 溶解氧:* {water_data.dissolved_oxygen}mg/L"
                    },
                    {
                        "type": "mrkdwn",
                        "text": f"*☠️ 氨氮:* {water_data.ammonia}mg/L"
                    },
                    {
                        "type": "mrkdwn",
                        "text": f"*📏 平均大小:* {crawfish_data.size}cm"
                    },
                    {
                        "type": "mrkdwn",
                        "text": f"*⚖️ 平均重量:* {crawfish_data.weight}g"
                    }
                ]
            }
        ]
    }
    return response
@slack_app.command("/crawfish-feed")
def handle_feed_command(ack, body, logger):
    """处理喂食命令"""
    ack()
    try:
        # 控制喂食器
        feed_amount = float(body["text"]) if body["text"] else 100  # 默认100g
        success = control_feeder(feed_amount)
        if success:
            return {
                "response_type": "in_channel",
                "blocks": [
                    {
                        "type": "section",
                        "text": {
                            "type": "mrkdwn",
                            "text": f"✅ 已成功投放 {feed_amount}g 饲料"
                        }
                    }
                ]
            }
    except Exception as e:
        logger.error(f"Feed error: {e}")

定时报告系统

# scheduler.py
from apscheduler.schedulers.background import BackgroundScheduler
from apscheduler.triggers.cron import CronTrigger
import plotly.graph_objects as go
import plotly.io as pio
class DailyReport:
    def __init__(self, slack_client, db_client):
        self.slack = slack_client
        self.db = db_client
        self.scheduler = BackgroundScheduler()
    def setup_daily_report(self):
        """设置定时报告"""
        # 每天早上8点发送报告
        self.scheduler.add_job(
            self.send_daily_report,
            CronTrigger(hour=8, minute=0),
            id='daily_report'
        )
        # 每小时检查一次
        self.scheduler.add_job(
            self.send_hourly_check,
            CronTrigger(minute=0),
            id='hourly_check'
        )
        self.scheduler.start()
    def send_daily_report(self):
        """发送每日报告"""
        # 获取24小时数据
        data = self.get_24h_data()
        # 创建图表
        fig = go.Figure()
        fig.add_trace(go.Scatter(
            x=data['time'],
            y=data['temperature'],
            mode='lines+markers',
            name='水温'
        ))
        # 转换图表为图片
        img_bytes = pio.to_image(fig, format='png')
        # 上传到Slack
        try:
            self.slack.files_upload(
                channels=CHANNELS["daily"],
                file=img_bytes,
                filename="temperature_trend.png",
                initial_comment="📊 过去24小时水温变化趋势"
            )
            # 发送统计摘要
            self.slack.chat_postMessage(
                channel=CHANNELS["daily"],
                blocks=self.create_daily_summary(data)
            )
        except SlackApiError as e:
            print(f"Error sending report: {e}")

交互式按钮和快捷方式

# interactions.py
from slack_sdk.errors import SlackApiError
@slack_app.action("adjust_temp")
def handle_temp_adjustment(ack, body, client, logger):
    """处理温度调节按钮点击"""
    ack()
    user_id = body["user"]["id"]
    action_value = body["actions"][0]["value"]
    try:
        # 发送温度调节指令到设备
        response = adjust_temperature(float(action_value))
        # 更新消息
        client.chat_update(
            channel=body["channel"]["id"],
            ts=body["message"]["ts"],
            text=f"✅ <@{user_id}> 已将温度调节至 {action_value}°C"
        )
    except Exception as e:
        logger.error(f"Temperature adjustment failed: {e}")
@slack_app.shortcut("create_feeding_schedule")
def handle_feeding_schedule(ack, body, client, logger):
    """处理喂食计划创建快捷方式"""
    ack()
    # 打开模态框
    client.views_open(
        trigger_id=body["trigger_id"],
        view={
            "type": "modal",
            "callback_id": "feeding_schedule_modal",
            "title": {"type": "plain_text", "text": "创建喂食计划"},
            "blocks": [
                {
                    "type": "input",
                    "block_id": "schedule_time",
                    "element": {
                        "type": "timepicker",
                        "action_id": "time",
                        "placeholder": {
                            "type": "plain_text",
                            "text": "选择喂食时间"
                        }
                    },
                    "label": {"type": "plain_text", "text": "喂食时间"}
                },
                {
                    "type": "input",
                    "block_id": "feed_amount",
                    "element": {
                        "type": "plain_text_input",
                        "action_id": "amount",
                        "placeholder": {
                            "type": "plain_text",
                            "text": "输入饲料量(克)"
                        }
                    },
                    "label": {"type": "plain_text", "text": "饲料量"}
                }
            ],
            "submit": {"type": "plain_text", "text": "创建计划"}
        }
    )

配置文件示例

# config/slack_config.yaml
slack:
  bot_token: "xoxb-your-bot-token"
  signing_secret: "your-signing-secret"
  app_token: "xapp-your-app-token"
channels:
  alerts: "crawfish-alerts"
  daily: "crawfish-daily"
  commands: "crawfish-commands"
monitoring:
  check_interval: 300  # 5分钟检查一次
  alert_cooldown: 600  # 10分钟冷却时间
thresholds:
  temperature:
    warning_min: 18
    warning_max: 30
    critical_min: 15
    critical_max: 32
  ph:
    warning_min: 6.5
    warning_max: 8.5
  dissolved_oxygen:
    warning_min: 5.0

部署脚本

#!/bin/bash
# deploy.sh
# 安装依赖
pip install -r requirements.txt
# 创建环境变量文件
cat > .env << EOF
SLACK_BOT_TOKEN=xoxb-your-token
SLACK_SIGNING_SECRET=your-secret
SLACK_APP_TOKEN=xapp-your-app-token
DATABASE_URL=postgresql://user:pass@localhost/crawfish
MQTT_BROKER=mqtt://broker.url
EOF
# 启动服务
gunicorn -w 4 -b 0.0.0.0:5000 app:app &
# 启动监控服务
python monitoring_service.py &
# 启动定时任务
python scheduler_service.py &
echo "AI小龙虾养殖Slack集成已启动"

Docker部署配置

# Dockerfile
FROM python:3.9-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 5000
CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:5000", "app:app"]

🚨 实时监控

  • 水质参数监控（温度、pH、溶解氧等）
  • 异常告警推送
  • 历史数据分析

🤖 智能控制

  • 远程喂食控制
  • 环境参数调节
  • 自动化喂食计划

📊 报告系统

  • 每日养殖报告
  • 生长趋势分析
  • 饲料消耗统计

🔌 集成能力

  • 支持多种传感器设备
  • MQTT协议支持
  • 数据库集成（PostgreSQL/MySQL）

🛡️ 安全特性

  • Slack签名验证
  • 操作审计日志
  • 权限分级控制

这个系统可以为小龙虾养殖提供全面的智能化管理和实时监控,通过Slack实现便捷的团队协作和远程控制。

标签： Slack Bot

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