board_camera_bot/bot.py

import asyncio
import os
import time
import traceback
import warnings
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime
from typing import cast, List

import aiohttp
import cv2
import numpy as np
import telegram
from aiohttp import BasicAuth
from cv2 import aruco
from pytapo import Tapo
from telegram import Update, Message
from telegram.ext import Updater
from urllib3.exceptions import InsecureRequestWarning

warnings.filterwarnings("ignore", category=InsecureRequestWarning)


class Bot:
    def __init__(self):
        self.token = os.environ["BOT_TOKEN"]
        self.camera_ip = os.environ["CAMERA_IP"]
        self.camera_user = os.environ["CAMERA_USER"]
        self.camera_password = os.environ["CAMERA_PASSWORD"]
        self.chat_id = int(os.environ["CHAT_ID"])
        self.profile_name = os.environ.get("CAMERA_PROFILE_NAME", "board")
        self.openhab_url = os.environ["OPENHAB_URL"]
        self.openhab_token = os.environ["OPENHAB_TOKEN"]
        self.openhab_item = os.environ["OPENHAB_ITEM"]

        self.bot = telegram.Bot(token=self.token)
        self.me = None

        self.tapo = Tapo(self.camera_ip, self.camera_user, self.camera_password)
        self.executor = ThreadPoolExecutor(max_workers=len(os.sched_getaffinity(0)))

        self.last_aruco_corners = [None] * 4

    def _get_presets(self):
        presets = self.tapo.getPresets()
        return {v: k for k, v in presets.items()}

    async def _get_item_state(self):
        url = f"{self.openhab_url}/rest/items/{self.openhab_item}/state"
        # use aiohttp instead of requests to avoid blocking
        async with aiohttp.ClientSession() as session:
            async with session.get(url, auth=BasicAuth(self.openhab_token, "")) as resp:
                return await resp.text()

    async def _send_item_command(self, command):
        print(f"Sending command {command}")
        url = f"{self.openhab_url}/rest/items/{self.openhab_item}"
        async with aiohttp.ClientSession() as session:
            async with session.post(
                url,
                auth=BasicAuth(self.openhab_token, ""),
                data=command,
                headers={"Content-Type": "text/plain", "Accept": "*/*"},
            ) as resp:
                return await resp.text()

    def _take_photo_blocking(
        self,
        adjust_perspective=True,
        timeout: float = 10.0,
        chat_action_fn=None,
    ) -> List[cv2.typing.MatLike]:
        privacy_mode = self.tapo.getPrivacyMode()

        # Prepare the camera
        print("Disabling privacy mode and setting auto day/night mode...")
        self.tapo.setPrivacyMode(False)
        self.tapo.setDayNightMode("auto")
        time.sleep(1)

        # Take the color image
        vcap = cv2.VideoCapture(
            f"rtsp://{self.camera_user}:{self.camera_password}@{self.camera_ip}:554/stream1"
        )
        if chat_action_fn:
            chat_action_fn()

        print("Taking color image...")
        ret, pretty_image = vcap.read()
        while pretty_image is None:
            ret, pretty_image = vcap.read()

        if not adjust_perspective:
            self.tapo.setPrivacyMode(privacy_mode)
            return [pretty_image]

        self.tapo.setDayNightMode("on")

        # Iterate until we find all 4 aruco markers or timeout
        aruco_corners = [None] * 4

        def found_all(corners):
            return all(c is not None for c in corners)

        annotated_image = None
        aruco_dict = aruco.getPredefinedDictionary(aruco.DICT_4X4_50)
        aruco_params = aruco.DetectorParameters()

        if chat_action_fn:
            chat_action_fn()

        t0 = time.time()
        last_chat_action = 0
        print("Taking image with ArUco markers...")
        while not found_all(aruco_corners):
            delta = time.time() - t0
            if delta > timeout:
                a = self.last_aruco_corners.copy()
                for i in range(4):
                    if aruco_corners[i] is not None:
                        a[i] = aruco_corners[i]
                aruco_corners = a

                if found_all(aruco_corners):
                    print("Timeout waiting for ArUco markers, using cached corners")
                    break

                print(
                    "Timeout waiting for ArUco markers, returning only original image"
                )
                self.tapo.setPrivacyMode(privacy_mode)
                self.tapo.setDayNightMode("auto")
                return [pretty_image]

            if delta - last_chat_action > 3:
                last_chat_action = delta
                if chat_action_fn:
                    chat_action_fn()

            ret, annotated_image = vcap.read()
            if not ret:
                continue

            # Detect the markers
            corners, ids, rejected = aruco.detectMarkers(
                annotated_image, aruco_dict, parameters=aruco_params
            )
            if corners is not None and ids is not None:
                for corner, i in zip(corners, ids):
                    aruco_corners[i[0]] = corner
        assert annotated_image is not None

        del vcap

        print(
            "Found all ArUco markers, enabled privacy mode and set auto day/night mode..."
        )
        self.tapo.setDayNightMode("auto")
        self.tapo.setPrivacyMode(privacy_mode)

        aruco.drawDetectedMarkers(annotated_image, aruco_corners, np.array(range(4)))

        # Annotate the image with the detected markers and apply the perspective transform to the pretty image

        # Get the outermost points of each marker
        tl_marker = aruco_corners[0].squeeze()[0]  # top left marker
        tr_marker = aruco_corners[1].squeeze()[1]  # top right marker
        bl_marker = aruco_corners[2].squeeze()[3]  # bottom left marker
        bc_marker = aruco_corners[3].squeeze()[2]  # bottom center marker

        # Calculate the fourth point by computing the line through the bottom markers and intersecting with the vertical
        # line through the top right marker
        slope = (bc_marker[1] - bl_marker[1]) / (bc_marker[0] - bl_marker[0])
        y_intersection = slope * (tr_marker[0] - bc_marker[0]) + bc_marker[1]
        fourth_point = [tr_marker[0], y_intersection]

        rectangle_points = np.array(
            [tl_marker, bl_marker, fourth_point, tr_marker], dtype="float32"
        )

        # Expand the rectangle slightly
        centroid = np.mean(rectangle_points, axis=0)
        expanded_rectangle_points = (
            rectangle_points + (rectangle_points - centroid) * 0.025
        )

        # Draw the expanded rectangle on the annotated image
        cv2.polylines(
            annotated_image,
            [np.int32(expanded_rectangle_points)],
            isClosed=True,
            color=(0, 255, 0),
            thickness=3,
        )

        # Define destination points for perspective transform, maintaining a 3:2 aspect ratio
        width, height = 300 * 5, 200 * 5
        dst_pts = np.array(
            [[0, 0], [0, height], [width, height], [width, 0]], dtype="float32"
        )

        matrix = cv2.getPerspectiveTransform(expanded_rectangle_points, dst_pts)
        warped = cv2.warpPerspective(pretty_image, matrix, (width, height))

        self.last_aruco_corners = aruco_corners

        return [warped, annotated_image]

    async def _photo_command(self, chat_id: int, adjust_perspective: bool = True):
        async def chat_action_fn():
            await self.bot.send_chat_action(chat_id=chat_id, action="upload_photo")

        await chat_action_fn()

        loop = asyncio.get_event_loop()
        photos = await self.take_photo(
            adjust_perspective=adjust_perspective,
            chat_action_fn=lambda: loop.create_task(chat_action_fn()),
        )
        jpegs = [cv2.imencode(".jpg", photo)[1].tobytes() for photo in photos]

        media = [
            telegram.InputMediaPhoto(
                media=telegram.InputFile(jpeg, filename=f"photo{i}.jpg", attach=True),
                filename=f"photo{i}.jpg",
            )
            for i, jpeg in enumerate(jpegs)
        ]

        await self.bot.send_media_group(
            chat_id=chat_id,
            media=media,
            caption=str(datetime.now().strftime("%A, %B %d, %Y %H:%M:%S")),
        )

    async def parse_message(self, msg: Message):
        match msg.text:
            case "/start":
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text="Hello, I'm a bot that can send you a photo from the camera.",
                )
            case "/reposition":
                privacy_mode = self.tapo.getPrivacyMode()
                self.tapo.setPrivacyMode(False)
                presets = self._get_presets()
                if self.profile_name not in presets:
                    await self.bot.send_message(
                        chat_id=msg.chat_id,
                        text=f"Profile '{self.profile_name}' not found",
                    )
                    return
                self.tapo.setPreset(presets[self.profile_name])
                message = await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Repositioning to profile '{self.profile_name}'...",
                )
                await asyncio.sleep(5)
                self.tapo.setPrivacyMode(privacy_mode)
                await self.bot.edit_message_text(
                    chat_id=msg.chat_id,
                    message_id=message.message_id,
                    text=f"Repositioning complete",
                )
            case "/calibrate":
                privacy_mode = self.tapo.getPrivacyMode()
                self.tapo.setPrivacyMode(False)
                await asyncio.sleep(0.3)
                self.tapo.calibrateMotor()
                message = await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Calibrating, this will take ~25s...",
                )
                await asyncio.sleep(26)
                await self.bot.edit_message_text(
                    chat_id=msg.chat_id,
                    message_id=message.message_id,
                    text=f"Calibration complete",
                )
                self.tapo.setPrivacyMode(privacy_mode)
            case "/light_on":
                await self._send_item_command("ON")
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Light turned on",
                )
            case "/light_off":
                await self._send_item_command("OFF")
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Light turned off",
                )
            case "/light_status":
                state = await self._get_item_state()
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Light is {state}",
                )
            case "/photo":
                await self._photo_command(msg.chat_id, adjust_perspective=True)
            case "/photo_unprocessed":
                await self._photo_command(msg.chat_id, adjust_perspective=False)
            case "/privacy_on":
                self.tapo.setPrivacyMode(True)
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Privacy mode turned on",
                )
            case "/privacy_off":
                self.tapo.setPrivacyMode(False)
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Privacy mode turned off",
                )
            case "/privacy_status":
                state = self.tapo.getPrivacyMode()
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Privacy mode is {state and 'enabled' or 'disabled'}",
                )
            case "/night_mode_auto":
                self.tapo.setDayNightMode("auto")
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Night mode set to auto",
                )
            case "/night_mode_on":
                self.tapo.setDayNightMode("on")
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Night mode enabled",
                )
            case "/night_mode_off":
                self.tapo.setDayNightMode("off")
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Night mode disabled",
                )
            case "/night_mode_status":
                state = self.tapo.getDayNightMode()
                await self.bot.send_message(
                    chat_id=msg.chat_id,
                    text=f"Night mode is {state}",
                )

    async def take_photo(
        self, adjust_perspective=True, timeout=10.0, chat_action_fn=None
    ) -> List[cv2.typing.MatLike]:
        item_state = await self._get_item_state()
        if item_state == "OFF":
            print("Turning light on")
            await self._send_item_command("ON")

        try:
            return await asyncio.get_event_loop().run_in_executor(
                self.executor, self._take_photo_blocking, adjust_perspective, timeout, chat_action_fn
            )
        finally:
            if item_state == "OFF":
                print("Turning light back off")
                await self._send_item_command("OFF")

    async def run(self):
        async with self.bot:
            self.me = await self.bot.get_me()

            updater = Updater(bot=self.bot, update_queue=asyncio.Queue())
            async with updater:
                queue = await updater.start_polling(allowed_updates=[Update.MESSAGE])
                print("Bot is up and running")

                while True:
                    # noinspection PyBroadException
                    try:
                        upd = cast(Update, await queue.get())
                        print(upd)
                        if not upd.message or upd.message.chat_id != self.chat_id:
                            print("Ignoring message")
                            continue
                        # noinspection PyBroadException
                        try:
                            await self.parse_message(upd.message)
                        except Exception:
                            traceback.print_exc()
                            exc = traceback.format_exc()
                            await self.bot.send_message(
                                chat_id=self.chat_id,
                                text=f"Error: {exc}",
                            )
                    except Exception:
                        traceback.print_exc()


if __name__ == "__main__":
    bot = Bot()
    asyncio.run(bot.run())