#-*-coding:utf-8-*-
#!/bin/pyton
import csv
import pandas as pd
import requests
import json
import datetime
import re
import sys
def file_convert_html(filepath):
content_data_start = '<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8" /><meta http-equiv="Content-Style-Type" content="text/css" /><meta name="generator" content="goreplay" /><title></title></head><body><div>'
content_data_end = '</div></body></html>'
with open(filepath, "r",encoding="utf-8") as f:
for line in f:
if line in ['\n', '\r\n']:
html_tmp = '<p style="margin-top:0pt; margin-bottom:0pt; font-size:10.5pt"><span style="font-family:\'Courier New\'">' + ' ' + '</span></p>'
else:
html_tmp='<p style="margin-top:0pt; margin-bottom:0pt; font-size:10.5pt"><span style="font-family:\'Courier New\'">' + line + '</span></p>'
content_data_start = content_data_start + html_tmp
content_data_start = content_data_start + content_data_end
return content_data_start
if __name__ == '__main__':
input_filepath, input_team_content=sys.argv[1:3]
content_data = file_convert_html(input_filepath)
print(input_team_content)
print(input_team_content.replace('||', "\n"))
body_dict = {
"receiver": "xxxxxxx",
"subject": "xxxxx",
"content": content_data,
"team_content": input_team_content.replace('||', "\n"),
"show_img": "false"
}
res = requests.post("http://xxxxxxx/notify", data=body_dict)
print(res)
