一、接口说明
图片类型.png
二、企业机器人发送图片消息
1、设计excel模板，截图生成图片
代码：
# -*- coding: utf-8 -*-
import requests
import hashlib
import base64
import xlwings as xw
import time,os
import pandas as pd
from PIL import ImageGrab
from openpyxl import load_workbook
#发送图片_传入图片本地路径/文本
def post_image(url,image):
with open(image, 'rb') as file:
#转换图片成base64格式
data = file.read()
encodestr = base64.b64encode(data)
image_data = str(encodestr, 'utf-8')
#图片的MD5值
with open(image, 'rb') as file:
md = hashlib.md5()
md.update(file.read())
image_md5 = md.hexdigest()
data = {"msgtype": "image",
"image": {"base64": image_data,
"md5": image_md5
}
}
result = requests.post(url, json=data)
return(result)
# excel截图并发送
def photo_post(excel_file,n,url):
app = xw.App(visible=True, add_book=False) # 使用xlwings的app启动
# 截图
wb = app.books.open(excel_file) # 打开文件
num = 0
while num < n: # 参数 excel sheet 是第几个
sheet = wb.sheets[num] # 选定sheet
photo_range = sheet.used_range # 获取有内容的range
# print(photo_range.value)
photo_range.api.CopyPicture() # 复制图片区域
sheet.api.Paste() # 粘贴
img_name = 'photo' + str(num)
pic = sheet.pictures[0] # 当前图片
pic.api.Copy() # 复制图片
time.sleep(10)
img = ImageGrab.grabclipboard() # 获取剪贴板的图片数据
img_name = img_name + ".png"
img.save(img_name) # 保存图片
post_image(url, img_name) # 发送图片
num = num + 1
pic.delete() # 删除sheet上的图片
wb.close() # 之前已经保存，直接关闭
app.quit()
# 指定sheet写入df
def add_sheet(excel_0, df_name, excel_1):
# 写入源数据，Sheet:data
wb = load_workbook(excel_0)
ws = wb.get_sheet_by_name('data')
value = df_name.to_numpy()
for i in range(len(value)):
ws.append(list(value[i]))
# 写入时间,Sheet:pic
now_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
txt = '截止时间：' + str(now_time)
ws2 = wb.get_sheet_by_name('pic')
ws2.cell(row=2, column=4).value = txt
wb.save(excel_1)
wb.close()
if __name__ == "__main__":
path_0 = os.path.dirname(__file__)
excel_0 = path_0 + '/mb_0.xlsx' # excel原始模板
excel_1 = path_0 + '/mb_1.xlsx' # 数据处理后的目标文件
# 获取源数据--示例数据
data_fruit = pd.DataFrame({'type':['圣女果','车厘子','草莓','香蕉','苹果','芒果','葡萄','沙糖桔','丑橘','西瓜','哈密瓜','牛奶枣'],
'sales_num':[1200,500,800,790,470,390,250,2560,1040,880,2800,300],
'sales_amt':[2.2,2.3,4.2,1.1,0.8,1.4,2.6,6.3,1.8,0.9,7.2,2.5]
})
data_fruit['rank'] = data_fruit['sales_num'].rank(ascending=False, method='first') # 销量排名
data_fruit = data_fruit[['rank','type','sales_num','sales_amt']]
all_num = data_fruit['sales_num'].sum() # 销量总计
all_amt = data_fruit['sales_amt'].sum() # 销售额总计
df1 = pd.DataFrame({'rank':'总计','type':['总计'],'sales_num':[all_num],'sales_amt':[all_amt]})
data_fruit = data_fruit.append(df1, ignore_index=True) # 新增总计记录
# 数据写入模板excel的data Sheet中
add_sheet(excel_0, data_fruit, excel_1)
time.sleep(10)
# 截图发送
urlme = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=xxx'
photo_post(excel_1, 1, urlme)
执行结果：
excel模板_生成截图.png
说明：
思路大致可分为3步：
1、数据源获取与处理
2、数据源写入模板excel中，根据事先设置好的公式样式，自动生成所需表格样式
3、打开excel指定sheet，按需截图发送
excel模板如下：
excel模板_数据源sheet.png
excel模板_目标图片sheet.png
2、设计底图，往底图中写入数据
代码：
# -*- coding:utf-8 -*-
# 水果销售额大PK
import pandas as pd
import os,time,xlrd
import matplotlib.pyplot as plt
from PIL import Image, ImageFont, ImageDraw
import base64,hashlib,requests
#发送图片_传入图片本地路径/文本
def post_image(url,image):
with open(image, 'rb') as file:
#转换图片成base64格式
data = file.read()
encodestr = base64.b64encode(data)
image_data = str(encodestr, 'utf-8')
#图片的MD5值
with open(image, 'rb') as file:
md = hashlib.md5()
md.update(file.read())
image_md5 = md.hexdigest()
data = {"msgtype": "image",
"image": {"base64": image_data,
"md5": image_md5
}
}
result = requests.post(url, json=data)
return(result)
# 获取pk水果信息
def read_infos(path):
f = open(path,"r",encoding='utf-8-sig')
lines = f.readlines()
fruit_infos = {}
for line in lines:
line = line.strip('\n')
a = line.split(',')
a0 = a[0]
a1 = a[1:]
fruit_infos[a0] = {'fruit_infos':a1}
f.close()
print(fruit_infos)
return(fruit_infos)
# 批量绘制 折线图
def draw_jpg(path, list_x):
f, ax = plt.subplots(figsize=(14, 14))
# 设置横轴,31天/30天均可用
# 攻守分别为 0 1
y1 = list_x[0]
y2 = list_x[1]
x = [i + 1 for i in range(len(y1))]
# 设置 X轴长短 15日 元素*2 15日以后为31
if len(y1) <= 10:
lenth = 2 * len(y1)
y3 = [yi0 * 3 for yi0 in list_x[0]]
y4 = [yi1 * 3 for yi1 in list_x[1]]
elif len(y1) <= 20:
lenth = 1.5 * len(y1)
y3 = [yi0 * 2 for yi0 in list_x[0]]
y4 = [yi1 * 2 for yi1 in list_x[1]]
else:
lenth = 31
y3 = y1
y4 = y2
axes = plt.axes()
axes.set_xlim([0, lenth])
plt.plot(x, y1, label='xxx', c='Coral', lw=15)
plt.plot(x, y2, label='yyy', c='slategray', lw=15)
plt.plot(x, y3, label='xxx', c='white', lw=1)
plt.plot(x, y4, label='yyy', c='white', lw=1)
# plt.show()r blue
# 去掉刻度 + 坐标轴的方法：
# plt.xticks([]
plt.axis('off')
f.savefig(path)
# 本月每日累计（T+1），示例源数据
def req_data_daily(file,sheet):
month_data = pd.read_excel(file,sheet_name=sheet)
return month_data
# 今日实时，示例源数据
def req_data_today(file,sheet):
day_data = pd.read_excel(file,sheet_name=sheet)
return day_data
if __name__ == "__main__":
path_0 = os.path.dirname(__file__)
path_font = path_0 + '/ops/font/'
path_txt = path_0 + '/ops/fruit_pk_infos.txt'
path_xlsx = path_0 + '/ops/data.xlsx' # 示例数据
path_i = path_0 + '/ops/'
fruit_items = read_infos(path_txt)
# 水果明细（导入）
fruit_list = [k for k, v in fruit_items.items()]
print("合计水果：" + str(len(fruit_list)) + "种")
# 获取每日累计(T+1)数据、今日实时数据
daily_data = req_data_daily(path_xlsx, 'month')
daily_data_dict = daily_data.T.to_dict()
today_data = req_data_today(path_xlsx, 'today')
today_data_dict1 = today_data.set_index('fruit_name').T.to_dict(orient="records")
today_data_dict = today_data_dict1[0]
# 读取每日累计数据
for fruit_name in fruit_list:
fruit_new_m_list = []
for i in range(len(daily_data)):
if daily_data_dict[i]['fruit_name'] == fruit_name:
fruit_new_m_list.append(daily_data_dict[i]['sales'])
# 默认 按日期排序
fruit_items[fruit_name]['data_list'] = fruit_new_m_list
# 转化为 配对组数据
draw_dic = {}
for ii in range(6):
i = ii + 1
dic_i = {}
for fruit_name in fruit_list:
fruit_sales = fruit_items[fruit_name]
pk_no = int(fruit_sales['fruit_infos'][1])
if pk_no == i:
# 今日值 无则为0
day_stu_cnt = today_data_dict.get(fruit_name, 0)
fruit_sales = fruit_items[fruit_name]
pk_no = int(fruit_sales['fruit_infos'][1]) # pk组号
gs_no = int(fruit_sales['fruit_infos'][2]) # 攻方1 守方0
rate_type = round(float(fruit_sales['fruit_infos'][0]), 1) # pk系数
# 新生成一列：昨日原始数据+今日值，附加在月累计新签列表
fruit_data = fruit_sales['data_list']
xxx = fruit_data[-1]
xxx += day_stu_cnt
fruit_data.append(xxx)
# 乘以系数后数据
fruit_data_new = [round(x * rate_type, 1) for x in fruit_data]
# 水果待写入图片数据
fruit_w = fruit_name + '-' + str(rate_type) + ': ' + str(fruit_data_new[-1])
fruit_x = [fruit_name, fruit_data_new, fruit_data, rate_type, fruit_w, fruit_data[-1]]
if pk_no == i and gs_no == 0:
dic_i[0] = fruit_x
elif pk_no == i and gs_no == 1:
dic_i[1] = fruit_x
draw_path = path_i + str(i) +'.jpg'
draw_dic[i] = dic_i
#传参画折线图
draw_jpg(draw_path,[dic_i[0][1],dic_i[1][1]])
#判定胜负当前胜负方
win_type_now = ''
fs = dic_i[0][1][-1]
jg = dic_i[1][1][-1]
if fs > jg:
dic_i[2] = dic_i[0][0]
dic_i[3] = (13,182,241)
win_type_now = 'fs'
elif fs < jg:
dic_i[2] = dic_i[1][0]
dic_i[3] = (81,86,102)
win_type_now = 'jg'
else:
dic_i[2] = dic_i[0][0] + ' 平 ' + dic_i[1][0]
dic_i[3] = (13,182,241)
win_type_now = 'db'
#判定早晨胜负方
win_type_past = ''
fs0 = dic_i[0][1][-2]
jg0 = dic_i[1][1][-2]
if fs0 > jg0:
win_type_past = 'fs'
elif fs0 < jg0:
win_type_past = 'jg'
else:
win_type_past = 'db'
#判断是否变化
if win_type_past == win_type_now:
dic_i[4] = 'change0'
elif win_type_now != 'db':
dic_i[4] = 'change1'
else:
dic_i[4] = 'change2'
print('图完毕，传参完毕')
#图中画入 折线图
img_back = Image.open(path_i + 'month.jpg')
for y in range(3):
for x in range(2):
n = x + 2*y + 1
if n <= 12:
jpg_path =path_i + str(n) +'.jpg'
imgs = Image.open(jpg_path)
imgs1 = imgs.resize((1770, 1460))
img_back.paste(imgs1, (110 + x * 1800, 860 + 1500 * y))
# 图中写入文字
draw = ImageDraw.Draw(img_back)
# 写入当前日期
path_font0 = path_font + 'times new roman bold.ttf'
Font = ImageFont.truetype(path_font0, 80)
draw.text([2850, 500], time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()), (0, 0, 0), font=Font)
#写入赢家 以及 当前值
#今日PK 战报
comment_text = []
path_font1 = path_font + 'msyhbd.ttf'
Font1 = ImageFont.truetype(path_font1, 120)
path_font2 = path_font + 'msyhbd.ttf'
Font2 = ImageFont.truetype(path_font2, 200)
for y in range(3):
for x in range(2):
n = x + 2*y + 1
if n <= 12 :
#print(draw_text_dic[n])
txt_list = draw_dic[n]
# 写入赢家
draw.text([160 + x * 1800, 900 + 1600* y], txt_list[2], (81, 86, 102), font=Font2)
# 写入防数据
draw.text([160 + x * 1800, 1200 + 1600 * y], txt_list[0][4], (255, 127, 80), font=Font1)
# 写入攻数据
draw.text([160 + x * 1800, 1400 + 1600 * y], txt_list[1][4], (81, 86, 102), font=Font1)
if txt_list[4] == 'change1':
t1 = txt_list[0][0]+'VS'+txt_list[1][0]
t2 = txt_list[2]+'反超成功'+'，太棒啦!'+'\n\n'
comment_text.append([t1,t2])
elif txt_list[4] == 'change2':
t1 = txt_list[0][0]+'VS'+txt_list[1][0]
t2 = txt_list[2]+',都加油噢！\n\n'
comment_text.append([t1,t2])
path_local =path_i + 'month_all.jpg'
img_back.save(path_local)
#每日 日报 总结播报
path_font7 = path_font + 'msyhbd.ttf'
Font7 = ImageFont.truetype(path_font7, 160)
Font8 = ImageFont.truetype(path_font7, 200)
urlme = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=xxx'
if len(comment_text)>0:
for txt_all in comment_text:
img_back_daily = Image.open(path_i + 'daily.jpg')
draw1 = ImageDraw.Draw(img_back_daily)
draw1.text([2800,780],time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()),(0,0,0), font=Font)
t1,t2 = txt_all[0],txt_all[1]
draw1.text([800,1400],'《'+t1+' pk简报》',(81,86,102), font=Font7)
draw1.text([800,1800],' '+t2,(255, 127, 80), font=Font8)
path_local1 =path_i + 'last_daily.jpg'
img_back_daily.save(path_local1)
post_image(urlme, path_local1)
post_image(urlme, path_local)
执行结果：
robot发送图片.png
month_all.jpg
last_daily.jpg
说明：
思路大致可分为3步：
1、数据源获取与处理
2、PS设计好底图
3、数据写入底图，并发送（涉及到坐标运算）
底图模板如下：
month.jpg
daily.jpg