Introduction

This article is Chapter 4 of a four-chapter article.

We made a system that "not only" watches over elderly houses by making full use of IoT [SORACOM Summer Challenge 2020]
Send a push message to the LINE Bot when the LTE-M Button is pressed [SORACOM]
[Raspberry Pi] When the motion sensor detects it, store the timestamp in the Firebase Realtime Database
Link SORACOM with home appliances and LINE Bot [Python / Flask / Raspberry Pi] ** All sources released **: arrow_backward: Now here

You can check the operation image on YouTube, so please have a look.

Trigger

I wanted to be able to interactively check the data collected by SORACOM devices and operate home appliances with LINE, which is used by 80 million people in Japan and is familiar with the UI.

What I used

--GPS multi-unit SORACOM Edition

SORACOM LTE-M Button Plus --Since the contact input is not used, the LTE-M Button is actually a single unit.
Raspberry Pi 3 Model A+ --Connect a motion sensor (pyroelectric infrared sensor) --Connect the servo motor
Raspberry Pi 3 Model B+ --Use as a server --Connect the infrared learning remote controller (ADRSIR)

environment

Python 3.7.3
Flask==1.1.2
line-bot-sdk==1.16.0
firebase-admin==4.3.0
Pillow==7.2.0
paramiko==2.7.1

Installation

$ pip install flask
$ pip install line-bot-sdk
$ pip install firebase-admin
$ pip install pillow
$ pip install paramiko

Main functions

--Display temperature and humidity --View the temperature and humidity measured by GPS multi-unit SORACOM Edition on LINE --Display motion sensor data --Fetch the data stored in Firebase Realtime Database and browse it on LINE --Send a Push message in the event of an emergency --Sends a Push message to LINE when the SORACOM LTE-M Button is pressed --Air conditioner control --When the risk of heat stroke increases, the air conditioner is automatically turned on. --The conditions for turning on the air conditioner are "temperature 30 ° C, humidity 60% or higher" and "human sensor responds within 15 minutes". --You can also turn off the air conditioner in case of malfunction.

I will explain each of them together with the source code.

First from the big picture

It will be the entire source. Please note that the import and access token parts of the module will not be posted after that.

Source code

** Click to open **

`line_bot.py`


from flask import Flask, request, abort
from linebot import LineBotApi, WebhookHandler
from linebot.exceptions import InvalidSignatureError
from linebot.models import MessageEvent, TextMessage, TextSendMessage, FlexSendMessage
import subprocess
import os
import json
import time
import datetime
import base64
import requests
import ast
import paramiko
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
from PIL import ImageFont, Image, ImageDraw
from image import add_text_to_image #Self-made module

app = Flask(__name__)

# LINE Messaging API Settings
LINE_BOT_ACCESS_TOKEN = os.environ["LINE_BOT_ACCESS_TOKEN"]
LINE_BOT_CHANNEL_SECRET = os.environ["LINE_BOT_CHANNEL_SECRET"]

line_bot_api = LineBotApi(LINE_BOT_ACCESS_TOKEN)
handler = WebhookHandler(LINE_BOT_CHANNEL_SECRET)

user_id = "U0..." #ID of the user pushing the message

FQDN = 'https://xxx.ngrok.io' #ngrok url

# Firebase Settings
cred = credentials.Certificate("<secret key file>.json")
firebase_admin.initialize_app(cred, {
    'databaseURL': 'https://xxx.firebaseio.com/'
})

ref = db.reference('data')

# ssh settings
HOST = '192.168.11.xxx'
PORT = 22
USER = 'username'
KEY_FILE = '../.ssh/<secret_key_file>' #Relative path

@app.route("/webhook", methods=['POST'])
def webhook():
    print(json.dumps(request.get_json(), indent=2))
    object = request.get_json()
    if object['title'] == "[Alerting] Emergency alert":
        json_message = {
            "type": "bubble",
            "hero": {
                "type": "image",
                "url": "https://xxxx.ngrok.io/static/sos.png ",
                "size": "full",
                "aspectRatio": "16:9",
                "aspectMode": "cover"
            },
            "body": {
                "type": "box",
                "layout": "vertical",
                "contents": [
                {
                    "type": "text",
                    "text": "The emergency button was pressed",
                    "weight": "bold",
                    "size": "lg",
                    "color": "#E9462B",
                    "align": "center"
                },
                {
                    "type": "box",
                    "layout": "vertical",
                    "margin": "lg",
                    "spacing": "sm",
                    "contents": [
                    {
                        "type": "box",
                        "layout": "baseline",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "text",
                            "text": "place",
                            "color": "#aaaaaa",
                            "size": "sm",
                            "flex": 1
                        },
                        {
                            "type": "text",
                            "text": "Dressing room",
                            "wrap": True,
                            "color": "#666666",
                            "size": "sm",
                            "flex": 5
                        }
                        ]
                    },
                    {
                        "type": "box",
                        "layout": "vertical",
                        "margin": "lg",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "box",
                            "layout": "baseline",
                            "spacing": "sm",
                            "contents": [
                            {
                                "type": "text",
                                "text": "I unlocked the front door as an emergency measure",
                                "color": "#4764a6",
                                "size": "md",
                                "flex": 1,
                                "wrap": True
                            }
                            ]
                        }
                        ]
                    }
                    ]
                }
                ]
            },
            "footer": {
                "type": "box",
                "layout": "vertical",
                "spacing": "sm",
                "contents": [
                {
                    "type": "button",
                    "style": "primary",
                    "height": "sm",
                    "action": {
                    "type": "message",
                    "label": "First aid",
                    "text": "First aid"
                    },
                    "color": "#E9462B"
                },
                {
                    "type": "spacer",
                    "size": "sm"
                }
                ],
                "flex": 0
            }
        }
        messages = FlexSendMessage(alt_text='[SOS]The emergency button was pressed', contents=json_message)
        line_bot_api.push_message(user_id, messages=messages)

        key = paramiko.ECDSAKey.from_private_key_file(KEY_FILE)
        ssh = paramiko.SSHClient()
        ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
        ssh.connect(HOST, PORT, USER, pkey=key)
        ssh.exec_command('python3 key_open.py')

    elif object['title'] == "[Alerting] Temperature & Humidity alert":
        current_time = int(time.time()*1000)
        fifteen_minutes_ago = current_time - 900000

        data = ref.order_by_key().limit_to_last(1).get()
        for key, val in data.items():
            if val['timestamp']  >= fifteen_minutes_ago:
                json_message = {
                    "type": "bubble",
                    "hero": {
                        "type": "image",
                        "url": "https://xxx.ngrok.io/static/aircon.png ",
                        "size": "full",
                        "aspectRatio": "16:9",
                        "aspectMode": "cover"
                    },
                    "body": {
                        "type": "box",
                        "layout": "vertical",
                        "contents": [
                        {
                            "type": "text",
                            "text": "I turned on the air conditioner",
                            "weight": "bold",
                            "size": "xl",
                            "color": "#7077BE"
                        },
                        {
                            "type": "box",
                            "layout": "vertical",
                            "contents": [
                            {
                                "type": "text",
                                "text": "Temperature and humidity with a high risk of heat stroke.",
                                "size": "xs",
                                "wrap": True
                            },
                            {
                                "type": "text",
                                "text": "Since the motion sensor responded within 15 minutes, I decided that I was at home and turned on the air conditioner.",
                                "size": "xs",
                                "wrap": True
                            }
                            ],
                            "margin": "sm"
                        }
                        ]
                    },
                    "footer": {
                        "type": "box",
                        "layout": "vertical",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "button",
                            "style": "primary",
                            "height": "sm",
                            "action": {
                            "type": "message",
                            "label": "See the current temperature and humidity",
                            "text": "temperature humidity"
                            },
                            "color": "#6fb1bf"
                        },
                        {
                            "type": "button",
                            "style": "primary",
                            "height": "sm",
                            "action": {
                            "type": "uri",
                            "label": "Check with SORACOM Lagoon",
                            "uri": "https://jp.lagoon.soracom.io/"
                            },
                            "color": "#34CDD7"
                        },
                        {
                            "type": "button",
                            "style": "secondary",
                            "height": "sm",
                            "action": {
                            "type": "message",
                            "label": "Turn off the air conditioner",
                            "text": "Turn off the air conditioner"
                            },
                            "color": "#DDDDDD"
                        },
                        {
                            "type": "spacer",
                            "size": "sm"
                        }
                        ],
                        "flex": 0
                    }
                    }
                messages = FlexSendMessage(alt_text='I turned on the air conditioner', contents=json_message)
                line_bot_api.push_message(user_id, messages=messages)
                subprocess.run("python3 IR-remocon02-commandline.py t `cat filename4.dat`", shell = True, cwd="/home/pi/I2C0x52-IR")

        
    return request.get_data()

@app.route("/callback", methods=['POST'])
def callback():
    signature = request.headers['X-Line-Signature']

    body = request.get_data(as_text=True)
    app.logger.info("Request body: " + body)

    try:
        handler.handle(body, signature)
    except InvalidSignatureError:
        abort(400)
    
    return 'OK'


@handler.add(MessageEvent, message=TextMessage)
def handle_message(event):
    
    password = os.environ["soracom_pass"]

    if event.message.text == "temperature humidity":
        headers = {
            'Content-Type': 'application/json',
        }

        data = '{"email": "[email protected]", "password": "' + password + '"}'

        response = requests.post('https://api.soracom.io/v1/auth', headers=headers, data=data)

        apikey = response.json()['apiKey']
        token  = response.json()['token']

        current_time = int(time.time()*1000)
        headers = {
            'Accept': 'application/json',
            'X-Soracom-API-Key': apikey,
            'X-Soracom-Token': token,
        }

        params = (
            ('to', current_time),
            ('sort', 'desc'),
            ('limit', '1'),
        )

        response = requests.get('https://api.soracom.io/v1/data/Subscriber/44xxxxxxxxxxxxx', headers=headers, params=params)
        request_body = response.json()

        content = [d.get('content') for d in request_body]

        payload = content[0]
        payload_dic = ast.literal_eval(payload)
        message = base64.b64decode(payload_dic['payload']).decode()
        temp = ast.literal_eval(message)['temp']
        humi = ast.literal_eval(message)['humi']
        
        base_image_path = './image.png'
        base_img = Image.open(base_image_path).copy()
        base_img = base_img.convert('RGB')

        temperature = str(temp)
        font_path = "/usr/share/fonts/downloadfonts/DSEG7-Classic/DSEG7Classic-Regular.ttf"
        font_size = 80
        font_color = (255, 255, 255)
        height = 90
        width = 180
        img = add_text_to_image(base_img, temperature, font_path, font_size, font_color, height, width)

        humidity = str(humi)
        height = 330
        img = add_text_to_image(base_img, humidity, font_path, font_size, font_color, height, width)

        img_path = 'static/{}.png'.format(datetime.datetime.now().strftime('%H-%M-%S'))
        img.save(img_path)

        json_message = {
            "type": "bubble",
            "hero": {
                "type": "image",
                "url": FQDN + '/' + img_path,
                "size": "full",
                "aspectRatio": "1:1",
                "aspectMode": "fit",
            },
            "body": {
                "type": "box",
                "layout": "vertical",
                "contents": [
                {
                    "type": "text",
                    "text": "temperature&Humidity",
                    "weight": "bold",
                    "size": "xl",
                    "color": "#6fb1bf"
                },
                {
                    "type": "box",
                    "layout": "vertical",
                    "margin": "lg",
                    "spacing": "sm",
                    "contents": [
                    {
                        "type": "box",
                        "layout": "baseline",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "text",
                            "text": "temperature",
                            "color": "#aaaaaa",
                            "size": "sm",
                            "flex": 1
                        },
                        {
                            "type": "text",
                            "text": temperature + '℃',
                            "wrap": True,
                            "color": "#666666",
                            "size": "sm",
                            "flex": 5
                        }
                        ]
                    },
                    {
                        "type": "box",
                        "layout": "baseline",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "text",
                            "text": "Humidity",
                            "color": "#aaaaaa",
                            "size": "sm",
                            "flex": 1
                        },
                        {
                            "type": "text",
                            "text": humidity + "％",
                            "wrap": True,
                            "color": "#666666",
                            "size": "sm",
                            "flex": 5
                        }
                        ]
                    }
                    ]
                }
                ]
            },
            "footer": {
                "type": "box",
                "layout": "vertical",
                "spacing": "sm",
                "contents": [
                {
                    "type": "button",
                    "style": "primary",
                    "height": "sm",
                    "action": {
                    "type": "uri",
                    "label": "Check with SORACOM Lagoon",
                    "uri": "https://jp.lagoon.soracom.io/"
                    },
                    "color": "#34CDD7"
                },
                {
                    "type": "button",
                    "style": "secondary",
                    "height": "sm",
                    "action": {
                    "type": "message",
                    "label": "Human Sensor",
                    "text": "Human Sensor"
                    },
                    "color": "#DDDDDD"
                },
                {
                    "type": "spacer",
                    "size": "sm"
                }
                ],
                "flex": 0
            }
        }

        messages = FlexSendMessage(alt_text='temperature&Humidity', contents=json_message)
        line_bot_api.reply_message(event.reply_token, messages)
        
    elif event.message.text == "Human Sensor":
        current_time = int(time.time()*1000)
        one_hour_ago = current_time - 3600000

        data = ref.order_by_key().limit_to_last(1).get()
        for key, val in data.items():
            timestamp = datetime.datetime.fromtimestamp(int(val['timestamp']/1000))
            last_time = timestamp.strftime('%m month%d day%H o'clock%M minutes')
        count = 0
        data = ref.order_by_key().get()
        for key, val in data.items():
            timestamp = val['timestamp']
            if timestamp >= one_hour_ago:
                count += 1
        json_message = {
            "type": "bubble",
            "hero": {
                "type": "image",
                "url": "https://xxx.ngrok.io/static/sensors.png ",
                "size": "full",
                "aspectRatio": "16:9",
                "aspectMode": "cover"
            },
            "body": {
                "type": "box",
                "layout": "vertical",
                "contents": [
                {
                    "type": "text",
                    "text": "Human Sensor",
                    "weight": "bold",
                    "size": "xl",
                    "color": "#72D35B"
                },
                {
                    "type": "box",
                    "layout": "vertical",
                    "margin": "lg",
                    "spacing": "sm",
                    "contents": [
                    {
                        "type": "box",
                        "layout": "baseline",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "text",
                            "text": "Number of detections within 1 hour",
                            "color": "#aaaaaa",
                            "size": "sm",
                            "flex": 10
                        },
                        {
                            "type": "text",
                            "text": str(count) + "Times",
                            "wrap": True,
                            "color": "#666666",
                            "size": "sm",
                            "flex": 4,
                            "align": "end"
                        }
                        ]
                    },
                    {
                        "type": "box",
                        "layout": "baseline",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "text",
                            "text": "Last detected time",
                            "color": "#aaaaaa",
                            "size": "sm",
                            "flex": 5
                        },
                        {
                            "type": "text",
                            "text": last_time,
                            "wrap": True,
                            "color": "#666666",
                            "size": "sm",
                            "flex": 5,
                            "align": "end"
                        }
                        ]
                    }
                    ]
                }
                ]
            },
            "footer": {
                "type": "box",
                "layout": "vertical",
                "spacing": "sm",
                "contents": [
                {
                    "type": "spacer",
                    "size": "sm"
                }
                ],
                "flex": 0
                }
            }
        messages = FlexSendMessage(alt_text='Human Sensor', contents=json_message)
        line_bot_api.reply_message(event.reply_token, messages)

    elif event.message.text == "First aid":
        messages = "Calm down and call 119"
        line_bot_api.reply_message(event.reply_token, TextSendMessage(text=messages))

    elif event.message.text == "Turn off the air conditioner":
        messages = "I turned off the air conditioner"
        line_bot_api.reply_message(event.reply_token, TextSendMessage(text=messages))
        subprocess.run("python3 IR-remocon02-commandline.py t `cat filename5.dat`", shell = True, cwd="/home/pi/I2C0x52-IR")
  

if __name__ == "__main__":
    port = int(os.getenv("PORT", 6000))
    app.run(host="0.0.0.0", port=port)

➊ Display temperature and humidity

[SORACOM Harvest](https://soracom.jp/services/harvest/) stores the data sent from the SORACOM device. You can get that data with the API.

Get the Key and Token required to use the API in the following part. Password is set as an environment variable just in case.

`line_bot.py`


password = os.environ["soracom_pass"]
headers = {
            'Content-Type': 'application/json',
        }

data = '{"email": "[email protected]", "password": "' + password + '"}'

response = requests.post('https://api.soracom.io/v1/auth', headers=headers, data=data)

apikey = response.json()['apiKey']
token  = response.json()['token']

And get the latest temperature and humidity. If you want to use other APIs, you can refer to it from API Reference. Since the cURL command is written, convert it to Python format at this site. Since request_body is returned as a list, take out content in it and convert payload to a dictionary with a module called ʻast`. You can get the temperature and humidity by decoding the message with base64.

`line_bot.py`


current_time = int(time.time()*1000)
headers = {
    'Accept': 'application/json',
    'X-Soracom-API-Key': apikey,
    'X-Soracom-Token': token,
}

params = (
    ('to', current_time),
    ('sort', 'desc'),
    ('limit', '1'),
)

response = requests.get('https://api.soracom.io/v1/data/Subscriber/44xxxxxxxxxxxxx', headers=headers, params=params)
request_body = response.json()

content = [d.get('content') for d in request_body]

payload = content[0]
payload_dic = ast.literal_eval(payload)
message = base64.b64decode(payload_dic['payload']).decode()
temp = ast.literal_eval(message)['temp']
humi = ast.literal_eval(message)['humi']

Once you have the data, use Pillow to create an image with the temperature and humidity. I referred to this article. Create the following Base image with PowerPoint and write the temperature and humidity in it with the DSEG font.

`line_bot.py`


temperature = str(temp)
font_path = "/usr/share/fonts/downloadfonts/DSEG7-Classic/DSEG7Classic-Regular.ttf"
font_size = 80
font_color = (255, 255, 255)
height = 90
width = 180
img = add_text_to_image(base_img, temperature, font_path, font_size, font_color, height, width)

humidity = str(humi)
height = 330
img = add_text_to_image(base_img, humidity, font_path, font_size, font_color, height, width)

img_path = 'static/{}.png'.format(datetime.datetime.now().strftime('%H-%M-%S'))
img.save(img_path)

`image.py`


from PIL import ImageFont, Image, ImageDraw

def add_text_to_image(img, text, font_path, font_size, font_color, height, width, max_length=740):
    position = (width, height)
    font = ImageFont.truetype(font_path, font_size)
    draw = ImageDraw.Draw(img)
    if draw.textsize(text, font=font)[0] > max_length:
        while draw.textsize(text + '…', font=font)[0] > max_length:
            text = text[:-1]
        text = text + '…'

    draw.text(position, text, font_color, font=font)

    return img

Finally, send a Flex Message. You can easily create it using the Flex Message Simulator (https://developers.line.biz/flex-simulator/).

Caution

Flex Message Simulator says `true`, but in Python it starts with an uppercase` True`, so be careful.

`line_bot.py`


json_message = {
            "type": "bubble",
            "hero": {
                "type": "image",
                "url": FQDN + '/' + img_path,
                "size": "full",
                "aspectRatio": "1:1",
                "aspectMode": "fit",
            },
            "body": {
                "type": "box",
                "layout": "vertical",
                "contents": [
                {
                    "type": "text",
                    "text": "temperature&Humidity",
                    "weight": "bold",
                    "size": "xl",
                    "color": "#6fb1bf"
                },
                {
                    "type": "box",
                    "layout": "vertical",
                    "margin": "lg",
                    "spacing": "sm",
                    "contents": [
                    {
                        "type": "box",
                        "layout": "baseline",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "text",
                            "text": "temperature",
                            "color": "#aaaaaa",
                            "size": "sm",
                            "flex": 1
                        },
                        {
                            "type": "text",
                            "text": temperature + '℃',
                            "wrap": True,
                            "color": "#666666",
                            "size": "sm",
                            "flex": 5
                        }
                        ]
                    },
                    {
                        "type": "box",
                        "layout": "baseline",
                        "spacing": "sm",
                        "contents": [
                        {
                            "type": "text",
                            "text": "Humidity",
                            "color": "#aaaaaa",
                            "size": "sm",
                            "flex": 1
                        },
                        {
                            "type": "text",
                            "text": humidity + "％",
                            "wrap": True,
                            "color": "#666666",
                            "size": "sm",
                            "flex": 5
                        }
                        ]
                    }
                    ]
                }
                ]
            },
            "footer": {
                "type": "box",
                "layout": "vertical",
                "spacing": "sm",
                "contents": [
                {
                    "type": "button",
                    "style": "primary",
                    "height": "sm",
                    "action": {
                    "type": "uri",
                    "label": "Check with SORACOM Lagoon",
                    "uri": "https://jp.lagoon.soracom.io/"
                    },
                    "color": "#34CDD7"
                },
                {
                    "type": "button",
                    "style": "secondary",
                    "height": "sm",
                    "action": {
                    "type": "message",
                    "label": "Human Sensor",
                    "text": "Human Sensor"
                    },
                    "color": "#DDDDDD"
                },
                {
                    "type": "spacer",
                    "size": "sm"
                }
                ],
                "flex": 0
            }
        }

messages = FlexSendMessage(alt_text='temperature&Humidity', contents=json_message)
line_bot_api.reply_message(event.reply_token, messages)

➋ Display motion sensor data

Get the value from the Firebase Realtime Database. The server timestamp is UNIX time (milliseconds), so I'm converting it accordingly. To get the value from Firebase, I referred to [Official document](https://firebase.google.com/docs/database/admin/retrieve-data?hl=ja).

`line_bot.py`


current_time = int(time.time()*1000)
one_hour_ago = current_time - 3600000

data = ref.order_by_key().limit_to_last(1).get()
    for key, val in data.items():
        timestamp = datetime.datetime.fromtimestamp(int(val['timestamp']/1000))
        last_time = timestamp.strftime('%m month%d day%H o'clock%M minutes')
    count = 0
    data = ref.order_by_key().get()
    for key, val in data.items():
        timestamp = val['timestamp']
        if timestamp >= one_hour_ago:
            count += 1

The Flex Message part is long, so I omitted it, but it is the same as ➊.

➌ Send a push message in the event of an emergency

You can see the contents of the webhook received from SORACOM Lagoon with `ʻobject = request.get_json ()` `. Click here for details]() The next line says `ʻif object ['title'] ==" [Alerting] Emergency alert ": ``, which is also a webhook if Lagoon goes to [No Data] or [OK]. This is to send.

I also used Paramiko to ssh connect to another Raspberry Pi and execute commands in Python. Change the ```ECDSAKey`` part to the key type you have set as appropriate. You should be able to use either RSA or Ed25519.

`line_bot.py`


key = paramiko.ECDSAKey.from_private_key_file(KEY_FILE)
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(HOST, PORT, USER, pkey=key)
ssh.exec_command('python3 key_open.py')

key_open.py is a simple program that just turns the servo motor.

`key_open.py`


import time
import RPi.GPIO as GPIO

GPIO.setmode(GPIO.BCM)
GPIO.setup(4, GPIO.OUT)

p = GPIO.PWM(4, 50)

p.start(0.0)
p.ChangeDutyCycle(3.0)
time.sleep(0.4)
p.ChangeDutyCycle(0.0)

GPIO.cleanup()

➍ Air conditioner control

The air conditioner is automatically turned on when the conditions of "temperature 30 ° C, humidity 60% or more" and "human sensor reacts within 15 minutes" are satisfied. The program for operating the remote control can be downloaded from the official website of [Bit Trade One](https://bit-trade-one.co.jp/blog/20180515/).

`line_bot.py`


current_time = int(time.time()*1000)
fifteen_minutes_ago = current_time - 900000

data = ref.order_by_key().limit_to_last(1).get()
for key, val in data.items():
if val['timestamp']  >= fifteen_minutes_ago:
    #Flex Message part omitted
    subprocess.run("python3 IR-remocon02-commandline.py t cat `filename4.dat`", shell = True, cwd="/home/pi/I2C0x52-IR")

Summary

I was able to browse data and operate home appliances by making full use of the services of LINE Bot and SORACOM, two Raspberry Pis, and other external modules. I haven't seen many articles about touching the SORACOM API in Python, or articles linking SORACOM and LINE Bot, so I hope it helps someone. If you have any suggestions or questions, please feel free to comment.

Reference site

-Implement push notifications using LINE Bot API in Python

SORACOM API Reference --How to convert curl command to Python or node.js code -Edit images and insert text in Python -Download Font installation with raspberry pi -Try using Flex Message with LINE Bot (Python) -How to read external files for the distribution tool "command line tool" of ADRSIR "Raspberry Pi dedicated learning remote control board"

Link SORACOM, home appliances and LINE Bot [Python / Flask / Raspberry Pi]

Introduction

Trigger

What I used

environment

Installation

Main functions

First from the big picture

Source code

line_bot.py

➊ Display temperature and humidity

line_bot.py

line_bot.py

line_bot.py

image.py

line_bot.py

➋ Display motion sensor data

line_bot.py

➌ Send a push message in the event of an emergency

line_bot.py

key_open.py

➍ Air conditioner control

line_bot.py

Summary

Reference site

`line_bot.py`

`line_bot.py`

`line_bot.py`

`line_bot.py`

`image.py`

`line_bot.py`

`line_bot.py`

`line_bot.py`

`key_open.py`

`line_bot.py`