Leo的恒河沙

// StreamClient.ino
void setup() {
    wifiMulti.addAP(ssid, password);
    DEV_Delay_ms(1000);
}

void loop() {
    if((wifiMulti.run() == WL_CONNECTED)) {
      if(requestGET("newContent")){
        updateEink();
      }
    }
    delay(60000);
}
//獲取圖片數據
void updateEink(){
...
}
//查詢是否有更新內容
bool requestGET(String bodyName){
...
}

void UpdateEink(){
  HTTPClient http;
  http.begin("https://YOUR_SITE.COM");
  int httpCode = http.GET();
  if(httpCode > 0) {
      if(httpCode == HTTP_CODE_OK) {
          int len = http.getSize();
          // create buffer for read
          uint8_t buff[1280] = { 0 };
          // get tcp stream
          WiFiClient * stream = http.getStreamPtr();
          // read all data from server
          int numData = 0;
          String headString = "";
          while(http.connected() && (len > 0 || len == -1)) {
              // get available data size
              size_t size = stream->available();
              int c = 0;
              if(size) {
                  // read up to 1280 byte
                  c = stream->readBytes(buff, ((size > sizeof(buff)) ? sizeof(buff) : size));
                  String responseString((char*)buff, c);
                  responseString = headString + responseString;
                  String temp = ""; 
                  for (int i = 0; i < responseString.length(); i++) {
                    char cAti = responseString.charAt(i);
                    if (cAti == ',') { 
                      if (numData < 67200){
                        gImage_5in65f_part1[numData] = temp.toInt();
                      } else if(numData == 67200){
                        DEV_Module_Init();
                        EPD_5IN65F_Init();                              
                        EPD_5IN65F_Display_begin();
                        EPD_5IN65F_Display_sendData(gImage_5in65f_part1);
                        gImage_5in65f_part1[numData-67200] = temp.toInt();
                      } else if(numData > 67200 && numData < 134399){
                        gImage_5in65f_part1[numData-67200] = temp.toInt();
                      } else if(numData == 134399){
                        gImage_5in65f_part1[numData-67200] = temp.toInt();
                        EPD_5IN65F_Display_sendData(gImage_5in65f_part1);
                        EPD_5IN65F_Display_end();
                        EPD_5IN65F_Sleep();
                      }
                      temp = ""; // 清空臨時字符串
                      numData++; // 數組索引加1
                    } else {
                      temp += cAti; // 將字符添加到臨時字符串中
                    }
                  }
                  if (temp.length() > 0) { // 處理最後一個數字
                    headString = temp;
                  } else{
                    headString = "";
                  }
                  if(len > 0) {
                      len -= c;
                  }
                }
          }
      }
  }
  http.end();
}

import requests
from bs4 import BeautifulSoup
import csv

url = 'http://en.most-famous-paintings.com/MostFamousPaintings.nsf/ListOfTop1000MostPopularPainting?OpenForm'

r = requests.get(url)
soup = BeautifulSoup(r.content, 'html.parser')
artist=[]
images=[]
ratios=[]
for element_img in soup.find_all('div', attrs={'class': 'mosaicflow__item'}):
    artist.append((element_img.text).strip('\n'))
    imgRatio = int(element_img.img.get('width')) / int(element_img.img.get('height'))
    ratios.append(imgRatio)
    images.append(element_img.a.get('href'))

details=[]
rank = 1
for i in artist:
    painter = i[:i.index('\n')]
    painting = i[i.index('\n')+1:i.index('(')]
    ratio = ratios[rank-1]
    img = images[rank-1]
    details.append([rank,painter,painting.strip(),ratio,img])
    rank += 1

with open('famouspaintings.csv', 'w', newline='',encoding="UTF-8") as file:
    writer = csv.writer(file)
    writer.writerow(["Rank", "Name", "Painting","Ratio","Link"])
    for i in details:
        writer.writerow(i)

from PIL import Image
def dithering(image, selfwidth=600,selfheight=448):
        # Create a pallette with the 7 colors supported by the panel
        pal_image = Image.new("P", (1,1))
        pal_image.putpalette( (16,14,27,  169,164,155,  19,30,19,   21,15,50,  122,41,37,  156,127,56, 128,67,54) + (0,0,0)*249)
        
        # Convert the soruce image to the 7 colors, dithering if needed
        image_7color = image.convert("RGB").quantize(palette=pal_image)

        return image_7color

def get_dominant_color(pil_img):
    img = pil_img.copy()
    img = img.convert("RGBA")
    img = img.resize((5, 5), resample=0)
    dominant_color = img.getpixel((2, 2))
    return dominant_color

# concaten pic
img_concat = Image.new('RGB', (EINK_WIDTH, EINK_HEIGHT),WHITE_COLOR)
if DisplayMode == "Portrait":
    img_concat.paste(img_photo, (0, 0))
    img_concat.paste(img_date, (img_photo.width, 0))
    img_concat.paste(img_info, (img_photo.width, img_date.height))
    img_concat.paste(img_todo, (img_photo.width + img_info.width, img_date.height))
elif DisplayMode == "Landscape":
    img_concat.paste(img_date, (0, 0))
    img_concat.paste(img_todo, (0, img_date.height))
    img_concat.paste(img_info, (0, img_date.height + img_todo.height))
    img_concat.paste(img_photo,(img_date.width, 0))

buffs = buffImg(dithering(img_concat))
if len(buffs) == EINK_HEIGHT * EINK_WIDTH / 2:
    print("Success")

def buffImg(image):
    image_temp = image
    buf_7color = bytearray(image_temp.tobytes('raw'))
    # PIL does not support 4 bit color, so pack the 4 bits of color
    # into a single byte to transfer to the panel
    buf = [0x00] * int(image_temp.width * image_temp.height / 2)
    idx = 0
    for i in range(0, len(buf_7color), 2):
        buf[idx] = (buf_7color[i] << 4) + buf_7color[i+1]
        idx += 1
    return buf

//YOUR_APITABLE_SPACE apitable空間id
//YOUR_APITABLE_SHEET apitable表格id
//YOUR_APITABLE_FILED apitable列id
//YOUR_WEBHOOK 觸發流程webhook
const datasheet = await space.getDatasheetAsync('YOUR_APITABLE_SPACE');
const record = await input.recordAsync('請選擇一條記錄：', datasheet);

const data = {
  datasheet: 'YOUR_APITABLE_SHEET',
  fieldid: 'YOUR_APITABLE_FILED' ,
  record: record.title
};

const response = await fetch('YOUR_WEBHOOK', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify(data)
});